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Amar D, Gay NR, Jean-Beltran PM, Bae D, Dasari S, Dennis C, Evans CR, Gaul DA, Ilkayeva O, Ivanova AA, Kachman MT, Keshishian H, Lanza IR, Lira AC, Muehlbauer MJ, Nair VD, Piehowski PD, Rooney JL, Smith KS, Stowe CL, Zhao B, Clark NM, Jimenez-Morales D, Lindholm ME, Many GM, Sanford JA, Smith GR, Vetr NG, Zhang T, Almagro Armenteros JJ, Avila-Pacheco J, Bararpour N, Ge Y, Hou Z, Marwaha S, Presby DM, Natarajan Raja A, Savage EM, Steep A, Sun Y, Wu S, Zhen J, Bodine SC, Esser KA, Goodyear LJ, Schenk S, Montgomery SB, Fernández FM, Sealfon SC, Snyder MP, Adkins JN, Ashley E, Burant CF, Carr SA, Clish CB, Cutter G, Gerszten RE, Kraus WE, Li JZ, Miller ME, Nair KS, Newgard C, Ortlund EA, Qian WJ, Tracy R, Walsh MJ, Wheeler MT, Dalton KP, Hastie T, Hershman SG, Samdarshi M, Teng C, Tibshirani R, Cornell E, Gagne N, May S, Bouverat B, Leeuwenburgh C, Lu CJ, Pahor M, Hsu FC, Rushing S, Walkup MP, Nicklas B, Rejeski WJ, Williams JP, Xia A, Albertson BG, Barton ER, Booth FW, Caputo T, Cicha M, De Sousa LGO, Farrar R, Hevener AL, Hirshman MF, Jackson BE, Ke BG, Kramer KS, Lessard SJ, Makarewicz NS, Marshall AG, Nigro P, Powers S, Ramachandran K, Rector RS, Richards CZT, Thyfault J, Yan Z, Zang C, Amper MAS, Balci AT, Chavez C, Chikina M, Chiu R, Gritsenko MA, Guevara K, Hansen JR, Hennig KM, Hung CJ, Hutchinson-Bunch C, Jin CA, Liu X, Maner-Smith KM, Mani DR, Marjanovic N, Monroe ME, Moore RJ, Moore SG, Mundorff CC, Nachun D, Nestor MD, Nudelman G, Pearce C, Petyuk VA, Pincas H, Ramos I, Raskind A, Rirak S, Robbins JM, Rubenstein AB, Ruf-Zamojski F, Sagendorf TJ, Seenarine N, Soni T, Uppal K, Vangeti S, Vasoya M, Vornholt A, Yu X, Zaslavsky E, Zebarjadi N, Bamman M, Bergman BC, Bessesen DH, Buford TW, Chambers TL, Coen PM, Cooper D, Haddad F, Gadde K, Goodpaster BH, Harris M, Huffman KM, Jankowski CM, Johannsen NM, Kohrt WM, Lester B, Melanson EL, Moreau KL, Musi N, Newton RL, Radom-Aizik S, Ramaker ME, Rankinen T, Rasmussen BB, Ravussin E, Schauer IE, Schwartz RS, Sparks LM, Thalacker-Mercer A, Trappe S, Trappe TA, Volpi E. Temporal dynamics of the multi-omic response to endurance exercise training. Nature 2024; 629:174-183. [PMID: 38693412 PMCID: PMC11062907 DOI: 10.1038/s41586-023-06877-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 11/16/2023] [Indexed: 05/03/2024]
Abstract
Regular exercise promotes whole-body health and prevents disease, but the underlying molecular mechanisms are incompletely understood1-3. Here, the Molecular Transducers of Physical Activity Consortium4 profiled the temporal transcriptome, proteome, metabolome, lipidome, phosphoproteome, acetylproteome, ubiquitylproteome, epigenome and immunome in whole blood, plasma and 18 solid tissues in male and female Rattus norvegicus over eight weeks of endurance exercise training. The resulting data compendium encompasses 9,466 assays across 19 tissues, 25 molecular platforms and 4 training time points. Thousands of shared and tissue-specific molecular alterations were identified, with sex differences found in multiple tissues. Temporal multi-omic and multi-tissue analyses revealed expansive biological insights into the adaptive responses to endurance training, including widespread regulation of immune, metabolic, stress response and mitochondrial pathways. Many changes were relevant to human health, including non-alcoholic fatty liver disease, inflammatory bowel disease, cardiovascular health and tissue injury and recovery. The data and analyses presented in this study will serve as valuable resources for understanding and exploring the multi-tissue molecular effects of endurance training and are provided in a public repository ( https://motrpac-data.org/ ).
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Amar D, Gay NR, Jimenez-Morales D, Jean Beltran PM, Ramaker ME, Raja AN, Zhao B, Sun Y, Marwaha S, Gaul DA, Hershman SG, Ferrasse A, Xia A, Lanza I, Fernández FM, Montgomery SB, Hevener AL, Ashley EA, Walsh MJ, Sparks LM, Burant CF, Rector RS, Thyfault J, Wheeler MT, Goodpaster BH, Coen PM, Schenk S, Bodine SC, Lindholm ME. The mitochondrial multi-omic response to exercise training across rat tissues. Cell Metab 2024:S1550-4131(23)00472-2. [PMID: 38701776 DOI: 10.1016/j.cmet.2023.12.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Revised: 09/27/2023] [Accepted: 12/15/2023] [Indexed: 05/05/2024]
Abstract
Mitochondria have diverse functions critical to whole-body metabolic homeostasis. Endurance training alters mitochondrial activity, but systematic characterization of these adaptations is lacking. Here, the Molecular Transducers of Physical Activity Consortium mapped the temporal, multi-omic changes in mitochondrial analytes across 19 tissues in male and female rats trained for 1, 2, 4, or 8 weeks. Training elicited substantial changes in the adrenal gland, brown adipose, colon, heart, and skeletal muscle. The colon showed non-linear response dynamics, whereas mitochondrial pathways were downregulated in brown adipose and adrenal tissues. Protein acetylation increased in the liver, with a shift in lipid metabolism, whereas oxidative proteins increased in striated muscles. Exercise-upregulated networks were downregulated in human diabetes and cirrhosis. Knockdown of the central network protein 17-beta-hydroxysteroid dehydrogenase 10 (HSD17B10) elevated oxygen consumption, indicative of metabolic stress. We provide a multi-omic, multi-tissue, temporal atlas of the mitochondrial response to exercise training and identify candidates linked to mitochondrial dysfunction.
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Affiliation(s)
- David Amar
- Stanford University, Stanford, CA, USA; Insitro, San Francisco, CA, USA
| | | | | | | | | | | | | | - Yifei Sun
- Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | | | - David A Gaul
- Georgia Institute of Technology, Atlanta, GA, USA
| | | | | | - Ashley Xia
- National Institutes of Health, Bethesda, MD, USA
| | | | | | | | | | | | - Martin J Walsh
- Icahn School of Medicine at Mount Sinai, New York City, NY, USA
| | - Lauren M Sparks
- Translational Research Institute AdventHealth, Orlando, FL, USA
| | | | | | - John Thyfault
- University of Kansas Medical Center, Kansas City, KS, USA
| | | | | | - Paul M Coen
- Translational Research Institute AdventHealth, Orlando, FL, USA
| | - Simon Schenk
- University of California, San Diego, La Jolla, CA, USA
| | - Sue C Bodine
- Oklahoma Medical Research Foundation, Oklahoma City, OK, USA
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Chen Y, Dawes R, Kim HC, Stenton SL, Walker S, Ljungdahl A, Lord J, Ganesh VS, Ma J, Martin-Geary AC, Lemire G, D'Souza EN, Dong S, Ellingford JM, Adams DR, Allan K, Bakshi M, Baldwin EE, Berger SI, Bernstein JA, Brown NJ, Burrage LC, Chapman K, Compton AG, Cunningham CA, D'Souza P, Délot EC, Dias KR, Elias ER, Evans CA, Ewans L, Ezell K, Fraser JL, Gallacher L, Genetti CA, Grant CL, Haack T, Kuechler A, Lalani SR, Leitão E, Fevre AL, Leventer RJ, Liebelt JE, Lockhart PJ, Ma AS, Macnamara EF, Maurer TM, Mendez HR, Montgomery SB, Nassogne MC, Neumann S, O'Leary M, Palmer EE, Phillips J, Pitsava G, Pysar R, Rehm HL, Reuter CM, Revencu N, Riess A, Rius R, Rodan L, Roscioli T, Rosenfeld JA, Sachdev R, Simons C, Sisodiya SM, Snell P, Clair LS, Stark Z, Tan TY, Tan NB, Temple SE, Thorburn DR, Tifft CJ, Uebergang E, VanNoy GE, Vilain E, Viskochil DH, Wedd L, Wheeler MT, White SM, Wojcik M, Wolfe LA, Wolfenson Z, Xiao C, Zocche D, Rubenstein JL, Markenscoff-Papadimitriou E, Fica SM, Baralle D, Depienne C, MacArthur DG, Howson JM, Sanders SJ, O'Donnell-Luria A, Whiffin N. De novo variants in the non-coding spliceosomal snRNA gene RNU4-2 are a frequent cause of syndromic neurodevelopmental disorders. medRxiv 2024:2024.04.07.24305438. [PMID: 38645094 PMCID: PMC11030480 DOI: 10.1101/2024.04.07.24305438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/23/2024]
Abstract
Around 60% of individuals with neurodevelopmental disorders (NDD) remain undiagnosed after comprehensive genetic testing, primarily of protein-coding genes 1 . Increasingly, large genome-sequenced cohorts are improving our ability to discover new diagnoses in the non-coding genome. Here, we identify the non-coding RNA RNU4-2 as a novel syndromic NDD gene. RNU4-2 encodes the U4 small nuclear RNA (snRNA), which is a critical component of the U4/U6.U5 tri-snRNP complex of the major spliceosome 2 . We identify an 18 bp region of RNU4-2 mapping to two structural elements in the U4/U6 snRNA duplex (the T-loop and Stem III) that is severely depleted of variation in the general population, but in which we identify heterozygous variants in 119 individuals with NDD. The vast majority of individuals (77.3%) have the same highly recurrent single base-pair insertion (n.64_65insT). We estimate that variants in this region explain 0.41% of individuals with NDD. We demonstrate that RNU4-2 is highly expressed in the developing human brain, in contrast to its contiguous counterpart RNU4-1 and other U4 homologs, supporting RNU4-2 's role as the primary U4 transcript in the brain. Overall, this work underscores the importance of non-coding genes in rare disorders. It will provide a diagnosis to thousands of individuals with NDD worldwide and pave the way for the development of effective treatments for these individuals.
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Krysov VA, Wilson RH, Ten NS, Youlton N, De Jong HN, Sutton S, Huang Y, Reuter CM, Grove ME, Wheeler MT, Ashley EA, Parikh VN. Regional Variation in Cardiovascular Genes Enables a Tractable Genome Editing Strategy. Circ Genom Precis Med 2024; 17:e004370. [PMID: 38506054 PMCID: PMC11020015 DOI: 10.1161/circgen.123.004370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 03/10/2024] [Indexed: 03/21/2024]
Abstract
BACKGROUND To realize the potential of genome engineering therapeutics, tractable strategies must be identified that balance personalized therapy with the need for off-the-shelf availability. We hypothesized that regional clustering of pathogenic variants can inform the design of rational prime editing therapeutics to treat the majority of genetic cardiovascular diseases with a limited number of reagents. METHODS We collated 2435 high-confidence pathogenic/likely pathogenic (P/LP) variants in 82 cardiovascular disease genes from ClinVar. We assessed the regional density of these variants by defining a regional clustering index. We then combined a highly active base editor with prime editing to demonstrate the feasibility of a P/LP hotspot-directed genome engineering therapeutic strategy in vitro. RESULTS P/LP variants in cardiovascular disease genes display higher regional density than rare variants found in the general population. P/LP missense variants displayed higher average regional density than P/LP truncating variants. Following hypermutagenesis at a pathogenic hotspot, mean prime editing efficiency across introduced variants was 57±27%. CONCLUSIONS Designing therapeutics that target pathogenic hotspots will not only address known missense P/LP variants but also novel P/LP variants identified in these hotspots as well. Moreover, the clustering of P/LP missense rather than truncating variants in these hotspots suggests that prime editing technology is particularly valuable for dominant negative disease. Although prime editing technology in relation to cardiac health continues to improve, this study presents an approach to targeting the most impactful regions of the genome for inherited cardiovascular disease.
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Affiliation(s)
- Vikki A. Krysov
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
- University of California, Davis School of Medicine, Sacramento, CA (V.A.K.)
| | - Rachel H. Wilson
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
| | - Nicholas S. Ten
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
| | - Nathan Youlton
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
| | - Hannah N. De Jong
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
- Department of Genetics, Stanford University School of Medicine, Palo Alto, CA (H.N.D.J., E.A.A.)
- Maze Therapeutics, Inc., San Francisco, CA (H.N.D.J.)
| | - Shirley Sutton
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
| | - Yong Huang
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
| | - Chloe M. Reuter
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
- Color Health, Burlingame, CA (C.M.R., M.E.G.)
| | | | - Matthew T. Wheeler
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
- Stanford Center for Inherited Cardiovascular Disease, Stanford Medicine, CA (M.T.W., E.A.A., V.N.P.)
| | - Euan A. Ashley
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
- Department of Genetics, Stanford University School of Medicine, Palo Alto, CA (H.N.D.J., E.A.A.)
- Stanford Center for Inherited Cardiovascular Disease, Stanford Medicine, CA (M.T.W., E.A.A., V.N.P.)
| | - Victoria N. Parikh
- Division of Cardiovascular Medicine (V.A.K., R.H.W., N.S.T., N.Y., H.N.D.J., S.S., Y.H., C.M.R., M.T.W., E.A.A., V.N.P.)
- Stanford Center for Inherited Cardiovascular Disease, Stanford Medicine, CA (M.T.W., E.A.A., V.N.P.)
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Jensen TD, Ni B, Reuter CM, Gorzynski JE, Fazal S, Bonner D, Ungar RA, Goddard PC, Raja A, Ashley EA, Bernstein JA, Zuchner S, Greicius MD, Montgomery SB, Schatz MC, Wheeler MT, Battle A. Integration of transcriptomics and long-read genomics prioritizes structural variants in rare disease. medRxiv 2024:2024.03.22.24304565. [PMID: 38585781 PMCID: PMC10996727 DOI: 10.1101/2024.03.22.24304565] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Rare structural variants (SVs) - insertions, deletions, and complex rearrangements - can cause Mendelian disease, yet they remain difficult to accurately detect and interpret. We sequenced and analyzed Oxford Nanopore long-read genomes of 68 individuals from the Undiagnosed Disease Network (UDN) with no previously identified diagnostic mutations from short-read sequencing. Using our optimized SV detection pipelines and 571 control long-read genomes, we detected 716 long-read rare (MAF < 0.01) SV alleles per genome on average, achieving a 2.4x increase from short-reads. To characterize the functional effects of rare SVs, we assessed their relationship with gene expression from blood or fibroblasts from the same individuals, and found that rare SVs overlapping enhancers were enriched (LOR = 0.46) near expression outliers. We also evaluated tandem repeat expansions (TREs) and found 14 rare TREs per genome; notably these TREs were also enriched near overexpression outliers. To prioritize candidate functional SVs, we developed Watershed-SV, a probabilistic model that integrates expression data with SV-specific genomic annotations, which significantly outperforms baseline models that don't incorporate expression data. Watershed-SV identified a median of eight high-confidence functional SVs per UDN genome. Notably, this included compound heterozygous deletions in FAM177A1 shared by two siblings, which were likely causal for a rare neurodevelopmental disorder. Our observations demonstrate the promise of integrating long-read sequencing with gene expression towards improving the prioritization of functional SVs and TREs in rare disease patients.
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Busque V, Christle JW, Moneghetti KJ, Cauwenberghs N, Kouznetsova T, Blumberg Y, Wheeler MT, Ashley E, Haddad F, Myers J. Quantifying assumptions underlying peak oxygen consumption equations across the body mass spectrum. Clin Obes 2024:e12653. [PMID: 38475989 DOI: 10.1111/cob.12653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 02/08/2024] [Accepted: 02/16/2024] [Indexed: 03/14/2024]
Abstract
The goal of this study is to quantify the assumptions associated with the Wasserman-Hansen (WH) and Fitness Registry and the Importance of Exercise: A National Database (FRIEND) predictive peak oxygen consumption (pVO2 ) equations across body mass index (BMI). Assumptions in pVO2 for both equations were first determined using a simulation and then evaluated using exercise data from the Stanford Exercise Testing registry. We calculated percent-predicted VO2 (ppVO2 ) values for both equations and compared them using the Bland-Altman method. Assumptions associated with pVO2 across BMI categories were quantified by comparing the slopes of age-adjusted VO2 ratios (pVO2 /pre-exercise VO2 ) and ppVO2 values for different BMI categories. The simulation revealed lower predicted fitness among adults with obesity using the FRIEND equation compared to the WH equations. In the clinical cohort, we evaluated 2471 patients (56.9% male, 22% with BMI >30 kg/m2 , pVO2 26.8 mlO2 /kg/min). The Bland-Altman plot revealed an average relative difference of -1.7% (95% CI: -2.1 to -1.2%) between WH and FRIEND ppVO2 values with greater differences among those with obesity. Analysis of the VO2 ratio to ppVO2 slopes across the BMI spectrum confirmed the assumption of lower fitness in those with obesity, and this trend was more pronounced using the FRIEND equation. Peak VO2 estimations between the WH and FRIEND equations differed significantly among individuals with obesity. The FRIEND equation resulted in a greater attributable reduction in pVO2 associated with obesity relative to the WH equations. The outlined relationships between BMI and predicted VO2 may better inform the clinical interpretation of ppVO2 values during cardiopulmonary exercise test evaluations.
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Affiliation(s)
- Vincent Busque
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
- Geisel School of Medicine at Dartmouth, Hanover, New Hampshire, USA
| | - Jeffrey W Christle
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Kegan J Moneghetti
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
- Baker Department of Cardiometabolic Health, University of Melbourne, Melbourne, Victoria, Australia
| | - Nicholas Cauwenberghs
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Tatiana Kouznetsova
- Research Unit Hypertension and Cardiovascular Epidemiology, KU Leuven Department of Cardiovascular Sciences, University of Leuven, Leuven, Belgium
| | - Yair Blumberg
- Azrieli Faculty of Medicine, Bar-Ilan University, Ramat Gan, Israel
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Euan Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Francois Haddad
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
| | - Jonathan Myers
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, Stanford, California, USA
- Department of Cardiovascular Medicine, Palo Alto Veterans Administration, Palo Alto, California, USA
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Russell C, Campion M, Grove ME, Matsuda K, Klein TE, Ashley E, Naik H, Wheeler MT, Scott SA. Knowledge and attitudes on implementing cardiovascular pharmacogenomic testing. Clin Transl Sci 2024; 17:e13737. [PMID: 38421234 PMCID: PMC10903329 DOI: 10.1111/cts.13737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 12/22/2023] [Accepted: 01/23/2024] [Indexed: 03/02/2024] Open
Abstract
Pharmacogenomics has the potential to inform drug dosing and selection, reduce adverse events, and improve medication efficacy; however, provider knowledge of pharmacogenomic testing varies across provider types and specialties. Given that many actionable pharmacogenomic genes are implicated in cardiovascular medication response variability, this study aimed to evaluate cardiology providers' knowledge and attitudes on implementing clinical pharmacogenomic testing. Sixty-one providers responded to an online survey, including pharmacists (46%), physicians (31%), genetic counselors (15%), and nurses (8%). Most respondents (94%) reported previous genetics education; however, only 52% felt their genetics education prepared them to order a clinical pharmacogenomic test. In addition, most respondents (66%) were familiar with pharmacogenomics, with genetic counselors being most likely to be familiar (p < 0.001). Only 15% of respondents had previously ordered a clinical pharmacogenomic test and a total of 36% indicated they are likely to order a pharmacogenomic test in the future; however, the vast majority of respondents (89%) were interested in pharmacogenomic testing being incorporated into diagnostic cardiovascular genetic tests. Moreover, 84% of providers preferred pharmacogenomic panel testing compared to 16% who preferred single gene testing. Half of the providers reported being comfortable discussing pharmacogenomic results with their patients, but the majority (60%) expressed discomfort with the logistics of test ordering. Reported barriers to implementation included uncertainty about the clinical utility and difficulty choosing an appropriate test. Taken together, cardiology providers have moderate familiarity with pharmacogenomics and limited experience with test ordering; however, they are interested in incorporating pharmacogenomics into diagnostic genetic tests and ordering pharmacogenomic panels.
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Affiliation(s)
- Callan Russell
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
- Present address:
Northside HospitalAtlantaGeorgiaUSA
| | - MaryAnn Campion
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Megan E. Grove
- Clinical Genomics LaboratoryStanford MedicinePalo AltoCaliforniaUSA
- Present address:
Color HealthBurlingameCaliforniaUSA
| | - Kelly Matsuda
- Division of Pharmacy and CardiologyStanford Health CarePalo AltoCaliforniaUSA
| | - Teri E. Klein
- Department of Biomedical Data ScienceStanford UniversityStanfordCaliforniaUSA
| | - Euan Ashley
- Stanford Center for Inherited Cardiovascular DiseaseStanfordCaliforniaUSA
- Department of Medicine, Division of Cardiovascular MedicineStanford UniversityStanfordCaliforniaUSA
| | - Hetanshi Naik
- Department of GeneticsStanford UniversityStanfordCaliforniaUSA
| | - Matthew T. Wheeler
- Stanford Center for Inherited Cardiovascular DiseaseStanfordCaliforniaUSA
- Department of Medicine, Division of Cardiovascular MedicineStanford UniversityStanfordCaliforniaUSA
| | - Stuart A. Scott
- Clinical Genomics LaboratoryStanford MedicinePalo AltoCaliforniaUSA
- Department of PathologyStanford UniversityStanfordCaliforniaUSA
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Donkervoort S, Mohassel P, O'Leary M, Bonner DE, Hartley T, Acquaye N, Brull A, Mozaffar T, Saporta MA, Dyment DA, Sampson JB, Pajusalu S, Austin-Tse C, Hurth K, Cohen JS, McWalter K, Warman-Chardon J, Crunk A, Foley AR, Mammen AL, Wheeler MT, O'Donnell-Luria A, Bönnemann CG. Recurring homozygous ACTN2 variant (p.Arg506Gly) causes a recessive myopathy. Ann Clin Transl Neurol 2024; 11:629-640. [PMID: 38311799 DOI: 10.1002/acn3.51983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/10/2023] [Accepted: 12/16/2023] [Indexed: 02/06/2024] Open
Abstract
OBJECTIVE ACTN2, encoding alpha-actinin-2, is essential for cardiac and skeletal muscle sarcomeric function. ACTN2 variants are a known cause of cardiomyopathy without skeletal muscle involvement. Recently, specific dominant monoallelic variants were reported as a rare cause of core myopathy of variable clinical onset, although the pathomechanism remains to be elucidated. The possibility of a recessively inherited ACTN2-myopathy has also been proposed in a single series. METHODS We provide clinical, imaging, and histological characterization of a series of patients with a novel biallelic ACTN2 variant. RESULTS We report seven patients from five families with a recurring biallelic variant in ACTN2: c.1516A>G (p.Arg506Gly), all manifesting with a consistent phenotype of asymmetric, progressive, proximal, and distal lower extremity predominant muscle weakness. None of the patients have cardiomyopathy or respiratory insufficiency. Notably, all patients report Palestinian ethnicity, suggesting a possible founder ACTN2 variant, which was confirmed through haplotype analysis in two families. Muscle biopsies reveal an underlying myopathic process with disruption of the intermyofibrillar architecture, Type I fiber predominance and atrophy. MRI of the lower extremities demonstrate a distinct pattern of asymmetric muscle involvement with selective involvement of the hamstrings and adductors in the thigh, and anterior tibial group and soleus in the lower leg. Using an in vitro splicing assay, we show that c.1516A>G ACTN2 does not impair normal splicing. INTERPRETATION This series further establishes ACTN2 as a muscle disease gene, now also including variants with a recessive inheritance mode, and expands the clinical spectrum of actinopathies to adult-onset progressive muscle disease.
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Affiliation(s)
- Sandra Donkervoort
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Payam Mohassel
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Melanie O'Leary
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Devon E Bonner
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, California, USA
- Department of Pediatrics, Medical Genetics, Stanford University School of Medicine, Stanford, California, USA
| | - Taila Hartley
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Nicole Acquaye
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Astrid Brull
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Tahseen Mozaffar
- Department of Neurology, University of California, Irvine, California, USA
- Department of Pathology & Laboratory Medicine, University of California, Irvine, California, USA
| | - Mario A Saporta
- Department of Neurology, University of Miami Miller School of Medicine, Miami, Florida, USA
| | - David A Dyment
- Children's Hospital of Eastern Ontario Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Jacinda B Sampson
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, California, USA
- Department of Neurology, Stanford University School of Medicine, Stanford, California, USA
| | - Sander Pajusalu
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Genetics and Personalized Medicine Clinic, Tartu University Hospital, Tartu, Estonia
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Christina Austin-Tse
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Kyle Hurth
- Department of Pathology, Keck School of Medicine, University of Southern California, Los Angeles, California, USA
| | - Julie S Cohen
- Department of Neurology and Developmental Medicine, Hugo W. Moser Research Institute, Kennedy Krieger Institute, Baltimore, Maryland, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | | | - Jodi Warman-Chardon
- Department of Medicine, The Ottawa Hospital, University of Ottawa, Ottawa, Ontario, Canada
| | | | - A Reghan Foley
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
| | - Andrew L Mammen
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
- Muscle Disease Unit, National Institute of Arthritis and Musculoskeletal and Skin Diseases, National Institutes of Health, Bethesda, Maryland, USA
- Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - Matthew T Wheeler
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, California, USA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Carsten G Bönnemann
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, Maryland, USA
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Montalvo S, Froelicher VF, Hadley D, Wheeler MT. Digitized Electrocardiography Measurements Support the Biological Plausibility of the Pathological Significance of ST Segments in Athletes. Clin J Sport Med 2024:00042752-990000000-00177. [PMID: 38407231 DOI: 10.1097/jsm.0000000000001199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 11/07/2023] [Indexed: 02/27/2024]
Abstract
OBJECTIVE ST segment deviations around the isoelectric line are common findings in manifest cardiovascular disease. In athletes, ST elevation is common, while ST depression is considered rare. However, clinical studies in athletes have associated ST depression with myocardial fibrosis and fatty infiltration and ST elevation with pericarditis and myocarditis. This study aims to explore the association between resting ST segment deviations and resting heart rate, an indicator of training and autonomic tone and electrocardiography (ECG) markers of exercise training effect and cardiovascular health R and T wave amplitude. DESIGN Retrospective analysis of digitized ECG data. SETTING Institutional setting. PARTICIPANTS Seven thousand eight hundred thirty-six (male athletes = 4592, female athletes = 3244) healthy asymptomatic athletes (14-35 years). MAIN OUTCOME MEASURES A series of correlations and regressions were conducted between ST depression (<0.0 µV) and ST elevation (>0.0 µV), on R and T wave amplitudes, and heart rate in leads V2, V5, and aVF. RESULTS Positive correlations between ST elevation and R and T wave (S wave in V2) amplitudes and leads V5, V2, and aVF in male and female athletes (range of r = 0.1-0.54). In addition, there was a negative correlation between ST elevation and HR for male and female athletes. Finally, there was a negative correlation between ST depression and R wave and HR for male and female athletes in V5 (P < 0.01). CONCLUSIONS In athletes, ST segment elevation is correlated with R and T wave amplitudes and negatively correlated with HR. In addition, ST segment elevation is correlated with low heart rate, consistent with its higher prevalence in athletes. ST segment depression is not influenced by HR but is negatively associated with R and T wave amplitudes.
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Affiliation(s)
- Samuel Montalvo
- Wu Tsai Human Performance Alliance, Stanford University, Stanford, California,
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Sports Cardiology, Stanford University, Stanford, California; and
| | - Victor F Froelicher
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Sports Cardiology, Stanford University, Stanford, California; and
| | | | - Matthew T Wheeler
- Wu Tsai Human Performance Alliance, Stanford University, Stanford, California,
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
- Stanford Sports Cardiology, Stanford University, Stanford, California; and
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10
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Ungar RA, Goddard PC, Jensen TD, Degalez F, Smith KS, Jin CA, Bonner DE, Bernstein JA, Wheeler MT, Montgomery SB. Impact of genome build on RNA-seq interpretation and diagnostics. medRxiv 2024:2024.01.11.24301165. [PMID: 38260490 PMCID: PMC10802764 DOI: 10.1101/2024.01.11.24301165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/24/2024]
Abstract
Transcriptomics is a powerful tool for unraveling the molecular effects of genetic variants and disease diagnosis. Prior studies have demonstrated that choice of genome build impacts variant interpretation and diagnostic yield for genomic analyses. To identify the extent genome build also impacts transcriptomics analyses, we studied the effect of the hg19, hg38, and CHM13 genome builds on expression quantification and outlier detection in 386 rare disease and familial control samples from both the Undiagnosed Diseases Network (UDN) and Genomics Research to Elucidate the Genetics of Rare Disease (GREGoR) Consortium. We identified 2,800 genes with build-dependent quantification across six routinely-collected biospecimens, including 1,391 protein-coding genes and 341 known rare disease genes. We further observed multiple genes that only have detectable expression in a subset of genome builds. Finally, we characterized how genome build impacts the detection of outlier transcriptomic events. Combined, we provide a database of genes impacted by build choice, and recommend that transcriptomics-guided analyses and diagnoses are cross-referenced with these data for robustness.
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Affiliation(s)
- Rachel A. Ungar
- Department of Genetics, School of Medicine, Stanford University
- Department of Pathology, School of Medicine, Stanford University
| | - Pagé C. Goddard
- Department of Genetics, School of Medicine, Stanford University
- Department of Pathology, School of Medicine, Stanford University
| | - Tanner D. Jensen
- Department of Genetics, School of Medicine, Stanford University
- Department of Pathology, School of Medicine, Stanford University
| | | | - Kevin S. Smith
- Department of Pathology, School of Medicine, Stanford University
| | | | | | - Devon E. Bonner
- Department of Pediatrics, School of Medicine, Stanford University
- Stanford Center for Undiagnosed Diseases, Stanford University
| | | | - Matthew T. Wheeler
- Department of Cardiovascular Medicine, School of Medicine, Stanford University
| | - Stephen B. Montgomery
- Department of Genetics, School of Medicine, Stanford University
- Department of Pathology, School of Medicine, Stanford University
- Department of Biomedical Data Science, Stanford University
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11
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Rader F, Oręziak A, Choudhury L, Saberi S, Fermin D, Wheeler MT, Abraham TP, Garcia-Pavia P, Zwas DR, Masri A, Owens A, Hegde SM, Seidler T, Fox S, Balaratnam G, Sehnert AJ, Olivotto I. Mavacamten Treatment for Symptomatic Obstructive Hypertrophic Cardiomyopathy: Interim Results From the MAVA-LTE Study, EXPLORER-LTE Cohort. JACC Heart Fail 2024; 12:164-177. [PMID: 38176782 DOI: 10.1016/j.jchf.2023.09.028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 09/26/2023] [Accepted: 09/28/2023] [Indexed: 01/06/2024]
Abstract
BACKGROUND Data assessing the long-term safety and efficacy of mavacamten treatment for symptomatic obstructive hypertrophic cardiomyopathy are needed. OBJECTIVES The authors sought to evaluate interim results from the EXPLORER-Long Term Extension (LTE) cohort of MAVA-LTE (A Long-Term Safety Extension Study of Mavacamten in Adults Who Have Completed EXPLORER-HCM; NCT03723655). METHODS After mavacamten or placebo withdrawal at the end of the parent EXPLORER-HCM (Clinical Study to Evaluate Mavacamten [MYK-461] in Adults With Symptomatic Obstructive Hypertrophic Cardiomyopathy; NCT03470545), patients could enroll in MAVA-LTE. Patients received mavacamten 5 mg once daily; adjustments were made based on site-read echocardiograms. RESULTS Between April 9, 2019, and March 5, 2021, 231 of 244 eligible patients (94.7%) enrolled in MAVA-LTE (mean age: 60 years; 39% female). At data cutoff (August 31, 2021) 217 (93.9%) remained on treatment (median time in study: 62.3 weeks; range: 0.3-123.9 weeks). At 48 weeks, patients showed improvements in left ventricular outflow tract (LVOT) gradients (mean change ± SD from baseline: resting: -35.6 ± 32.6 mm Hg; Valsalva: -45.3 ± 35.9 mm Hg), N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels (median: -480 ng/L; Q1-Q3: -1,104 to -179 ng/L), and NYHA functional class (67.5% improved by ≥1 class). LVOT gradients and NT-proBNP reductions were sustained through 84 weeks in patients who reached this timepoint. Over 315 patient-years of exposure, 8 patients experienced an adverse event of cardiac failure, and 21 patients had an adverse event of atrial fibrillation, including 11 with no prior history of atrial fibrillation. Twelve patients (5.2%) developed transient reductions in site-read echocardiogram left ventricular ejection fraction of <50%, resulting in temporary treatment interruption; all recovered. Ten patients discontinued treatment due to treatment-emergent adverse events. CONCLUSIONS Mavacamten treatment showed clinically important and durable improvements in LVOT gradients, NT-proBNP levels, and NYHA functional class, consistent with EXPLORER-HCM. Mavacamten treatment was well tolerated over a median 62-week follow-up.
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Affiliation(s)
- Florian Rader
- Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | - Lubna Choudhury
- Northwestern University, Feinberg School of Medicine, Chicago, Illinois, USA
| | - Sara Saberi
- University of Michigan, Ann Arbor, Michigan, USA
| | | | | | | | - Pablo Garcia-Pavia
- Hospital Universitario Puerta de Hierro Majadahonda, Centro de Investigación Biomédica En Red Enfermedades Cardiovasculares, Madrid, Spain; Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
| | - Donna R Zwas
- Hadassah University Medical Center, Jerusalem, Israel
| | - Ahmad Masri
- Oregon Health & Science University, Portland, Oregon, USA
| | - Anjali Owens
- University of Pennsylvania, Perelman School of Medicine, Philadelphia, Pennsylvania, USA
| | - Sheila M Hegde
- Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Tim Seidler
- University of Göttingen, Göttingen, Germany; Kerckhoff-Klinik, Department of Cardiology, Bad Nauheim, Germany
| | | | | | | | - Iacopo Olivotto
- Meyer University Children Hospital, University of Florence, Italy.
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12
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Tang WJ, Gu B, Montalvo S, Dunaway Young S, Parker DM, de Monts C, Ataide P, Ni Ghiollagain N, Wheeler MT, Tesi Rocha C, Christle JW, He Z, Day JW, Duong T. Assessing the Assisted Six-Minute Cycling Test as a Measure of Endurance in Non-Ambulatory Patients with Spinal Muscular Atrophy (SMA). J Clin Med 2023; 12:7582. [PMID: 38137651 PMCID: PMC10743820 DOI: 10.3390/jcm12247582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2023] [Revised: 11/16/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
Assessing endurance in non-ambulatory individuals with Spinal Muscular Atrophy (SMA) has been challenging due to limited evaluation tools. The Assisted 6-Minute Cycling Test (A6MCT) is an upper limb ergometer assessment used in other neurologic disorders to measure endurance. To study the performance of the A6MCT in the non-ambulatory SMA population, prospective data was collected on 38 individuals with SMA (13 sitters; 25 non-sitters), aged 5 to 74 years (mean = 30.3; SD = 14.1). The clinical measures used were A6MCT, Revised Upper Limb Module (RULM), Adapted Test of Neuromuscular Disorders (ATEND), and Egen Klassifikation Scale 2 (EK2). Perceived fatigue was assessed using the Fatigue Severity Scale (FSS), and effort was assessed using the Rate of Perceived Exertion (RPE). Data were analyzed for: (1) Feasibility, (2) Clinical discrimination, and (3) Associations between A6MCT with clinical characteristics and outcomes. Results showed the A6MCT was feasible for 95% of the tested subjects, discriminated between functional groups (p = 0.0086), and was significantly associated with results obtained from RULM, ATEND, EK2, and Brooke (p < 0.0001; p = 0.029; p < 0.001; p = 0.005). These findings indicate the A6MCT's potential to evaluate muscular endurance in non-ambulatory SMA individuals, complementing clinician-rated assessments. Nevertheless, further validation with a larger dataset is needed for broader application.
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Affiliation(s)
- Whitney J. Tang
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Bo Gu
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Samuel Montalvo
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA 94305, USA; (S.M.); (J.W.C.)
| | - Sally Dunaway Young
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Dana M. Parker
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Constance de Monts
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Paxton Ataide
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Noirin Ni Ghiollagain
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Matthew T. Wheeler
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA 94305, USA; (S.M.); (J.W.C.)
| | - Carolina Tesi Rocha
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Jeffrey W. Christle
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University, Palo Alto, CA 94305, USA; (S.M.); (J.W.C.)
| | - Zihuai He
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - John W. Day
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
| | - Tina Duong
- Department of Neurology and Clinical Neurosciences, Stanford University, Palo Alto, CA 94305, USA; (W.J.T.); (S.D.Y.); (C.T.R.); (Z.H.); (J.W.D.)
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13
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Seo K, Yamamoto Y, Kirillova A, Kawana M, Yadav S, Huang Y, Wang Q, Lane KV, Pruitt BL, Perez MV, Bernstein D, Wu JC, Wheeler MT, Parikh VN, Ashley EA. Improved Cardiac Performance and Decreased Arrhythmia in Hypertrophic Cardiomyopathy With Non-β-Blocking R-Enantiomer Carvedilol. Circulation 2023; 148:1691-1704. [PMID: 37850394 DOI: 10.1161/circulationaha.123.065017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 09/05/2023] [Indexed: 10/19/2023]
Abstract
BACKGROUND Hypercontractility and arrhythmia are key pathophysiologic features of hypertrophic cardiomyopathy (HCM), the most common inherited heart disease. β-Adrenergic receptor antagonists (β-blockers) are the first-line therapy for HCM. However, β-blockers commonly selected for this disease are often poorly tolerated in patients, where heart-rate reduction and noncardiac effects can lead to reduced cardiac output and fatigue. Mavacamten, myosin ATPase inhibitor recently approved by the US Food and Drug Administration, has demonstrated the ability to ameliorate hypercontractility without lowering heart rate, but its benefits are so far limited to patients with left ventricular (LV) outflow tract obstruction, and its effect on arrhythmia is unknown. METHODS We screened 21 β-blockers for their impact on myocyte contractility and evaluated the antiarrhythmic properties of the most promising drug in a ventricular myocyte arrhythmia model. We then examined its in vivo effect on LV function by hemodynamic pressure-volume loop analysis. The efficacy of the drug was tested in vitro and in vivo compared with current therapeutic options (metoprolol, verapamil, and mavacamten) for HCM in an established mouse model of HCM (Myh6R403Q/+ and induced pluripotent stem cell (iPSC)-derived cardiomyocytes from patients with HCM (MYH7R403Q/+). RESULTS We identified that carvedilol, a β-blocker not commonly used in HCM, suppresses contractile function and arrhythmia by inhibiting RyR2 (ryanodine receptor type 2). Unlike metoprolol (a β1-blocker), carvedilol markedly reduced LV contractility through RyR2 inhibition, while maintaining stroke volume through α1-adrenergic receptor inhibition in vivo. Clinically available carvedilol is a racemic mixture, and the R-enantiomer, devoid of β-blocking effect, retains the ability to inhibit both α1-receptor and RyR2, thereby suppressing contractile function and arrhythmias without lowering heart rate and cardiac output. In Myh6R403Q/+ mice, R-carvedilol normalized hyperdynamic contraction, suppressed arrhythmia, and increased cardiac output better than metoprolol, verapamil, and mavacamten. The ability of R-carvedilol to suppress contractile function was well retained in MYH7R403Q/+ iPSC-derived cardiomyocytes. CONCLUSIONS R-enantiomer carvedilol attenuates hyperdynamic contraction, suppresses arrhythmia, and at the same time, improves cardiac output without lowering heart rate by dual blockade of α1-adrenergic receptor and RyR2 in mouse and human models of HCM. This combination of therapeutic effects is unique among current therapeutic options for HCM and may particularly benefit patients without LV outflow tract obstruction.
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Affiliation(s)
- Kinya Seo
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Yuta Yamamoto
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Anna Kirillova
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Masataka Kawana
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Sunil Yadav
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Yong Huang
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Qianru Wang
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Kerry V Lane
- Departments of Mechanical Engineering (K.V.L., B.L.P.), University of California, Santa Barbara, CA
| | - Beth L Pruitt
- Departments of Mechanical Engineering (K.V.L., B.L.P.), University of California, Santa Barbara, CA
- BioMolecular Science and Engineering (B.L.P.), University of California, Santa Barbara, CA
| | - Marco V Perez
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | | | - Joseph C Wu
- Cardiovascular Research Institute (J.C.W.), Stanford University School of Medicine, CA
| | - Matthew T Wheeler
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Victoria N Parikh
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
| | - Euan A Ashley
- From the Departments of Medicine (K.S., Y.Y., A.K., M.K., S.Y., Y.H., Q.W., M.V.P., M.T.W., V.N.P., E.A.A.), Stanford University School of Medicine, CA
- Genetics (E.A.A.), Stanford University School of Medicine, CA
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14
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Vissing CR, Axelsson Raja A, Day SM, Russell MW, Zahka K, Lever HM, Pereira AC, Colan SD, Margossian R, Murphy AM, Canter C, Bach RG, Wheeler MT, Rossano JW, Owens AT, Benson L, Mestroni L, Taylor MRG, Patel AR, Wilmot I, Thrush P, Soslow JH, Becker JR, Seidman CE, Lakdawala NK, Cirino AL, McMurray JJV, MacRae CA, Solomon SD, Bundgaard H, Orav EJ, Ho CY. Cardiac Remodeling in Subclinical Hypertrophic Cardiomyopathy: The VANISH Randomized Clinical Trial. JAMA Cardiol 2023; 8:1083-1088. [PMID: 37672268 PMCID: PMC10483382 DOI: 10.1001/jamacardio.2023.2808] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 06/23/2023] [Indexed: 09/07/2023]
Abstract
Importance Valsartan has shown promise in attenuating cardiac remodeling in patients with early-stage sarcomeric hypertrophic cardiomyopathy (HCM). Genetic testing can identify individuals at risk of HCM in a subclinical stage who could benefit from therapies that prevent disease progression. Objective To explore the potential for valsartan to modify disease development, and to characterize short-term phenotypic progression in subclinical HCM. Design, Setting, and Participants The multicenter, double-blind, placebo-controlled Valsartan for Attenuating Disease Evolution in Early Sarcomeric Hypertrophic Cardiomyopathy (VANISH) randomized clinical trial was conducted from April 2014 to July 2019 at 17 sites in 4 countries (Brazil, Canada, Denmark, and the US), with 2 years of follow-up. The prespecified exploratory VANISH cohort studied here included sarcomere variant carriers with subclinical HCM and early phenotypic manifestations (reduced E' velocity, electrocardiographic abnormalities, or an increased left ventricular [LV] wall thickness [LVWT] to cavity diameter ratio) but no LV hypertrophy (LVH). Data were analyzed between March and December 2022. Interventions Treatment with placebo or valsartan (80 mg/d for children weighing <35 kg, 160 mg/d for children weighing ≥35 kg, or 320 mg/d for adults aged ≥18 years). Main Outcomes and Measures The primary outcome was a composite z score incorporating changes in 9 parameters of cardiac remodeling (LV cavity volume, LVWT, and LV mass; left atrial [LA] volume; E' velocity and S' velocity; and serum troponin and N-terminal prohormone of brain natriuretic peptide levels). Results This study included 34 participants, with a mean (SD) age of 16 (5) years (all were White). A total of 18 participants (8 female [44%] and 10 male [56%]) were randomized to valsartan and 16 (9 female [56%] and 7 male [44%]) were randomized to placebo. No statistically significant effects of valsartan on cardiac remodeling were detected (mean change in composite z score compared with placebo: -0.01 [95% CI, -0.29 to 0.26]; P = .92). Overall, 2-year phenotypic progression was modest, with only a mild increase in LA volume detected (increased by 3.5 mL/m2 [95% CI, 1.4-6.0 mL/m2]; P = .002). Nine participants (26%) had increased LVWT, including 6 (18%) who developed clinically overt HCM. Baseline LA volume index (LAVI; 35 vs 28 mL/m2; P = .01) and average interventricular septum thickness (8.5 vs 7.0 mm; P = .009) were higher in participants who developed HCM. Conclusions and Relevance In this exploratory cohort, valsartan was not proven to slow progression of subclinical HCM. Minimal changes in markers of cardiac remodeling were observed, although nearly one-fifth of patients developed clinically overt HCM. Transition to disease was associated with greater baseline interventricular septum thickness and LAVI. These findings highlight the importance of following sarcomere variant carriers longitudinally and the critical need to improve understanding of factors that drive disease penetrance and progression. Trial Registration ClinicalTrials.gov Identifier: NCT01912534.
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Affiliation(s)
- Christoffer Rasmus Vissing
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Anna Axelsson Raja
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Sharlene M. Day
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | | | | | | | - Alexandre C. Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of São Paulo Medical School, São Paulo, Brazil
| | - Steven D. Colan
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
| | - Renee Margossian
- Department of Cardiology, Boston Children’s Hospital, Boston, Massachusetts
| | - Anne M. Murphy
- Division of Pediatric Cardiology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Charles Canter
- Washington University School of Medicine, St Louis, Missouri
| | - Richard G. Bach
- Washington University School of Medicine, St Louis, Missouri
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | | | - Anjali T. Owens
- Division of Cardiovascular Medicine, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | - Lee Benson
- Toronto Hospital for Sick Children, Toronto, Ontario, Canada
| | | | | | - Amit R. Patel
- Cardiovascular Division, Department of Medicine, University of Virginia Health System, Charlottesville
| | - Ivan Wilmot
- Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Philip Thrush
- Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
| | | | - Jason R. Becker
- Division of Cardiology, University of Pittsburgh School of Medicine and UPMC, Pittsburgh, Pennsylvania
| | - Christine E. Seidman
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Howard Hughes Medical Institute, Chevy Chase, Maryland
| | - Neal K. Lakdawala
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Allison L. Cirino
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - John J. V. McMurray
- British Heart Foundation Cardiovascular Research Centre, University of Glasgow, Glasgow, United Kingdom
| | - Calum A. MacRae
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Scott D. Solomon
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Henning Bundgaard
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - E. John Orav
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
| | - Carolyn Y. Ho
- Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
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15
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Li T, Ferraro N, Strober BJ, Aguet F, Kasela S, Arvanitis M, Ni B, Wiel L, Hershberg E, Ardlie K, Arking DE, Beer RL, Brody J, Blackwell TW, Clish C, Gabriel S, Gerszten R, Guo X, Gupta N, Johnson WC, Lappalainen T, Lin HJ, Liu Y, Nickerson DA, Papanicolaou G, Pritchard JK, Qasba P, Shojaie A, Smith J, Sotoodehnia N, Taylor KD, Tracy RP, Van Den Berg D, Wheeler MT, Rich SS, Rotter JI, Battle A, Montgomery SB. The functional impact of rare variation across the regulatory cascade. Cell Genom 2023; 3:100401. [PMID: 37868038 PMCID: PMC10589633 DOI: 10.1016/j.xgen.2023.100401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 03/08/2023] [Accepted: 08/10/2023] [Indexed: 10/24/2023]
Abstract
Each human genome has tens of thousands of rare genetic variants; however, identifying impactful rare variants remains a major challenge. We demonstrate how use of personal multi-omics can enable identification of impactful rare variants by using the Multi-Ethnic Study of Atherosclerosis, which included several hundred individuals, with whole-genome sequencing, transcriptomes, methylomes, and proteomes collected across two time points, 10 years apart. We evaluated each multi-omics phenotype's ability to separately and jointly inform functional rare variation. By combining expression and protein data, we observed rare stop variants 62 times and rare frameshift variants 216 times as frequently as controls, compared to 13-27 times as frequently for expression or protein effects alone. We extended a Bayesian hierarchical model, "Watershed," to prioritize specific rare variants underlying multi-omics signals across the regulatory cascade. With this approach, we identified rare variants that exhibited large effect sizes on multiple complex traits including height, schizophrenia, and Alzheimer's disease.
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Affiliation(s)
- Taibo Li
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicole Ferraro
- Biomedical Informatics Training Program, Stanford University, Stanford, CA, USA
| | - Benjamin J. Strober
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Harvard School of Public Health, Epidemiology Department, Boston, MA, USA
| | | | - Silva Kasela
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Marios Arvanitis
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Medicine, Division of Cardiology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Bohan Ni
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
| | - Laurens Wiel
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | | | | | - Dan E. Arking
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Rebecca L. Beer
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Jennifer Brody
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA
| | - Thomas W. Blackwell
- Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, MI, USA
| | - Clary Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | | | - Robert Gerszten
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xiuqing Guo
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Namrata Gupta
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - W. Craig Johnson
- Collaborative Health Studies Coordinating Center, University of Washington, Seattle, WA, USA
| | - Tuuli Lappalainen
- New York Genome Center, New York, NY, USA
- Department of Systems Biology, Columbia University, New York, NY, USA
| | - Henry J. Lin
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Yongmei Liu
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | | | - George Papanicolaou
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | | | - Pankaj Qasba
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Ali Shojaie
- Department of Biostatistics, University of Washington School of Public Health, Seattle, WA, USA
| | - Josh Smith
- Department of Genome Sciences, University of Washington, Seattle, WA, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Departments of Medicine and Epidemiology, University of Washington, Seattle, WA, USA
| | - Kent D. Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Russell P. Tracy
- Laboratory for Clinical Biochemistry Research, University of Vermont, Burlington, VT, USA
| | - David Van Den Berg
- Department of Preventive Medicine, University of Southern California, Los Angeles, CA, USA
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Stephen S. Rich
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Jerome I. Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Alexis Battle
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA
- McKusick-Nathans Institute, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Malone Center for Engineering of Healthcare, Johns Hopkins University, Baltimore, MD, USA
| | - Stephen B. Montgomery
- Department of Genetics, Stanford University, Stanford, CA, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
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16
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Javed A, Kim DS, Hershman SG, Shcherbina A, Johnson A, Tolas A, O’Sullivan JW, McConnell MV, Lazzeroni L, King AC, Christle JW, Oppezzo M, Mattsson CM, Harrington RA, Wheeler MT, Ashley EA. Personalized digital behaviour interventions increase short-term physical activity: a randomized control crossover trial substudy of the MyHeart Counts Cardiovascular Health Study. Eur Heart J Digit Health 2023; 4:411-419. [PMID: 37794870 PMCID: PMC10545510 DOI: 10.1093/ehjdh/ztad047] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 07/27/2023] [Indexed: 10/06/2023]
Abstract
Aims Physical activity is associated with decreased incidence of the chronic diseases associated with aging. We previously demonstrated that digital interventions delivered through a smartphone app can increase short-term physical activity. Methods and results We offered enrolment to community-living iPhone-using adults aged ≥18 years in the USA, UK, and Hong Kong who downloaded the MyHeart Counts app. After completion of a 1-week baseline period, e-consented participants were randomized to four 7-day interventions. Interventions consisted of: (i) daily personalized e-coaching based on the individual's baseline activity patterns, (ii) daily prompts to complete 10 000 steps, (iii) hourly prompts to stand following inactivity, and (iv) daily instructions to read guidelines from the American Heart Association (AHA) website. After completion of one 7-day intervention, participants subsequently randomized to the next intervention of the crossover trial. The trial was completed in a free-living setting, where neither the participants nor investigators were blinded to the intervention. The primary outcome was change in mean daily step count from baseline for each of the four interventions, assessed in a modified intention-to-treat analysis (modified in that participants had to complete 7 days of baseline monitoring and at least 1 day of an intervention to be included in analyses). This trial is registered with ClinicalTrials.gov, NCT03090321. Conclusion Between 1 January 2017 and 1 April 2022, 4500 participants consented to enrol in the trial (a subset of the approximately 50 000 participants in the larger MyHeart Counts study), of whom 2458 completed 7 days of baseline monitoring (mean daily steps 4232 ± 73) and at least 1 day of one of the four interventions. Personalized e-coaching prompts, tailored to an individual based on their baseline activity, increased step count significantly (+402 ± 71 steps from baseline, P = 7.1⨯10-8). Hourly stand prompts (+292 steps from baseline, P = 0.00029) and a daily prompt to read AHA guidelines (+215 steps from baseline, P = 0.021) were significantly associated with increased mean daily step count, while a daily reminder to complete 10 000 steps was not (+170 steps from baseline, P = 0.11). Digital studies have a significant advantage over traditional clinical trials in that they can continuously recruit participants in a cost-effective manner, allowing for new insights provided by increased statistical power and refinement of prior signals. Here, we present a novel finding that digital interventions tailored to an individual are effective in increasing short-term physical activity in a free-living cohort. These data suggest that participants are more likely to react positively and increase their physical activity when prompts are personalized. Further studies are needed to determine the effects of digital interventions on long-term outcomes.
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Affiliation(s)
- Ali Javed
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Daniel Seung Kim
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Steven G Hershman
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Biofourmis, Boston, MA, USA
| | - Anna Shcherbina
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Anders Johnson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Alexander Tolas
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Jack W O’Sullivan
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael V McConnell
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- identifeye HEALTH, Redwood City, CA, USA
| | - Laura Lazzeroni
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Abby C King
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Health Research and Policy, Stanford University, Stanford, CA, USA
- Department of Medicine, Stanford Prevention Research Center, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeffrey W Christle
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Marily Oppezzo
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - C Mikael Mattsson
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Robert A Harrington
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
| | - Euan A Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA
- Stanford Cardiovascular Institute, Stanford University, Stanford, CA 94305, USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA
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17
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Hofmeyer M, Haas GJ, Jordan E, Cao J, Kransdorf E, Ewald GA, Morris AA, Owens A, Lowes B, Stoller D, Tang WHW, Garg S, Trachtenberg BH, Shah P, Pamboukian SV, Sweitzer NK, Wheeler MT, Wilcox JE, Katz S, Pan S, Jimenez J, Smart F, Wang J, Gottlieb SS, Judge DP, Moore CK, Huggins GS, Kinnamon DD, Ni H, Hershberger RE. Rare Variant Genetics and Dilated Cardiomyopathy Severity: The DCM Precision Medicine Study. Circulation 2023; 148:872-881. [PMID: 37641966 PMCID: PMC10530109 DOI: 10.1161/circulationaha.123.064847] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 07/14/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Dilated cardiomyopathy (DCM) can lead to advanced disease, defined herein as necessitating a durable left ventricular assist device or a heart transplant (LVAD/HT). DCM is known to have a genetic basis, but the association of rare variant genetics with advanced DCM has not been studied. METHODS We analyzed clinical and genetic sequence data from patients enrolled between 2016 and 2021 in the US multisite DCM Precision Medicine Study, which was a geographically diverse, multiracial, multiethnic cohort. Clinical evaluation included standardized patient interview and medical record query forms. DCM severity was classified into 3 groups: patients with advanced disease with LVAD/HT; patients with an implantable cardioverter defibrillator (ICD) only; or patients with no ICD or LVAD/HT. Rare variants in 36 DCM genes were classified as pathogenic or likely pathogenic or variants of uncertain significance. Confounding factors we considered included demographic characteristics, lifestyle factors, access to care, DCM duration, and comorbidities. Crude and adjusted associations between DCM severity and rare variant genetic findings were assessed using multinomial models with generalized logit link. RESULTS Patients' mean (SD) age was 51.9 (13.6) years; 42% were of African ancestry, 56% were of European ancestry, and 44% were female. Of 1198 patients, 347 had LVAD/HT, 511 had an ICD, and 340 had no LVAD/HT or ICD. The percentage of patients with pathogenic or likely pathogenic variants was 26.2%, 15.9%, and 15.0% for those with LVAD/HT, ICD only, or neither, respectively. After controlling for sociodemographic characteristics and comorbidities, patients with DCM with LVAD/HT were more likely than those without LVAD/HT or ICD to have DCM-related pathogenic or likely pathogenic rare variants (odds ratio, 2.3 [95% CI, 1.5-3.6]). The association did not differ by ancestry. Rare variant genetic findings were similar between patients with DCM with an ICD and those without LVAD/HT or ICD. CONCLUSIONS Advanced DCM was associated with higher odds of rare variants in DCM genes adjudicated as pathogenic or likely pathogenic, compared with individuals with less severe DCM. This finding may help assess the risk of outcomes in management of patients with DCM and their at-risk family members. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT03037632.
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Affiliation(s)
- Mark Hofmeyer
- MedStar Health Research Institute, Medstar Washington Hospital Center, Washington, DC
| | - Garrie J. Haas
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Elizabeth Jordan
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Jinwen Cao
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Evan Kransdorf
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | | | - Anjali Owens
- Center for Inherited Cardiovascular Disease, Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Brian Lowes
- University of Nebraska Medical Center, Omaha, NE
| | | | - W. H. Wilson Tang
- Heart Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH
| | - Sonia Garg
- University of Texas Southwestern Medical Center, Dallas, TX
| | - Barry H. Trachtenberg
- Houston Methodist DeBakey Heart and Vascular Center, J.C. Walter Jr. Transplant Center, Houston TX
| | - Palak Shah
- Inova Heart and Vascular Institute, Falls Church, VA
| | - Salpy V. Pamboukian
- University of Alabama, Birmingham, AL during study conduct, current affiliation, University of Washington, Seattle, WA
| | - Nancy K. Sweitzer
- Sarver Heart Center, University of Arizona, Tucson, AZ during study conduct, current affiliation, Washington University, St. Louis, MO
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Jane E. Wilcox
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Stuart Katz
- New York University Langone Medical Center, New York, NY
| | - Stephen Pan
- New York University Langone Medical Center, New York, NY
- current affiliation, Department of Cardiology, Westchester Medical Center & New York Medical College, Valhalla, NY
| | - Javier Jimenez
- Miami Cardiac & Vascular Institute, Baptist Health South, Miami, FL
| | - Frank Smart
- Louisiana State University Health Sciences Center, New Orleans, LA
| | - Jessica Wang
- University of California Los Angeles Medical Center, Los Angeles, CA
| | | | | | | | - Gordon S. Huggins
- Cardiology Division, Tufts Medical Center and Tufts University School of Medicine, Boston, MA
| | - Daniel D. Kinnamon
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Hanyu Ni
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Ray E. Hershberger
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
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18
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Dutta D, Kanca O, Byeon SK, Marcogliese PC, Zuo Z, Shridharan RV, Park JH, Lin G, Ge M, Heimer G, Kohler JN, Wheeler MT, Kaipparettu BA, Pandey A, Bellen HJ. A defect in mitochondrial fatty acid synthesis impairs iron metabolism and causes elevated ceramide levels. Nat Metab 2023; 5:1595-1614. [PMID: 37653044 DOI: 10.1038/s42255-023-00873-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Accepted: 07/21/2023] [Indexed: 09/02/2023]
Abstract
In most eukaryotic cells, fatty acid synthesis (FAS) occurs in the cytoplasm and in mitochondria. However, the relative contribution of mitochondrial FAS (mtFAS) to the cellular lipidome is not well defined. Here we show that loss of function of Drosophila mitochondrial enoyl coenzyme A reductase (Mecr), which is the enzyme required for the last step of mtFAS, causes lethality, while neuronal loss of Mecr leads to progressive neurodegeneration. We observe a defect in Fe-S cluster biogenesis and increased iron levels in flies lacking mecr, leading to elevated ceramide levels. Reducing the levels of either iron or ceramide suppresses the neurodegenerative phenotypes, indicating an interplay between ceramide and iron metabolism. Mutations in human MECR cause pediatric-onset neurodegeneration, and we show that human-derived fibroblasts display similar elevated ceramide levels and impaired iron homeostasis. In summary, this study identifies a role of mecr/MECR in ceramide and iron metabolism, providing a mechanistic link between mtFAS and neurodegeneration.
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Affiliation(s)
- Debdeep Dutta
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Oguz Kanca
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Seul Kee Byeon
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
| | - Paul C Marcogliese
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
- Department of Biochemistry & Medical Genetics, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Zhongyuan Zuo
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Rishi V Shridharan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Jun Hyoung Park
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Guang Lin
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Ming Ge
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA
| | - Gali Heimer
- Pediatric Neurology Unit, Edmond and Lily Safra Children's Hospital, Sheba Medical Center, Ramat Gan, Israel
- The Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel
| | - Jennefer N Kohler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Benny A Kaipparettu
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Akhilesh Pandey
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN, USA
- Manipal Academy of Higher Education, Manipal, India
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX, USA.
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19
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Wojcik MH, Reuter CM, Marwaha S, Mahmoud M, Duyzend MH, Barseghyan H, Yuan B, Boone PM, Groopman EE, Délot EC, Jain D, Sanchis-Juan A, Starita LM, Talkowski M, Montgomery SB, Bamshad MJ, Chong JX, Wheeler MT, Berger SI, O'Donnell-Luria A, Sedlazeck FJ, Miller DE. Beyond the exome: What's next in diagnostic testing for Mendelian conditions. Am J Hum Genet 2023; 110:1229-1248. [PMID: 37541186 PMCID: PMC10432150 DOI: 10.1016/j.ajhg.2023.06.009] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 08/06/2023] Open
Abstract
Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise molecular diagnosis. Clinical evaluation is increasingly undertaken by specialists outside of clinical genetics, often occurring in a tiered fashion and typically ending after ES. The current diagnostic rate reflects multiple factors, including technical limitations, incomplete understanding of variant pathogenicity, missing genotype-phenotype associations, complex gene-environment interactions, and reporting differences between clinical labs. Maintaining a clear understanding of the rapidly evolving landscape of diagnostic tests beyond ES, and their limitations, presents a challenge for non-genetics professionals. Newer tests, such as short-read genome or RNA sequencing, can be challenging to order, and emerging technologies, such as optical genome mapping and long-read DNA sequencing, are not available clinically. Furthermore, there is no clear guidance on the next best steps after inconclusive evaluation. Here, we review why a clinical genetic evaluation may be negative, discuss questions to be asked in this setting, and provide a framework for further investigation, including the advantages and disadvantages of new approaches that are nascent in the clinical sphere. We present a guide for the next best steps after inconclusive molecular testing based upon phenotype and prior evaluation, including when to consider referral to research consortia focused on elucidating the underlying cause of rare unsolved genetic disorders.
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Affiliation(s)
- Monica H Wojcik
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chloe M Reuter
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Shruti Marwaha
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Michael H Duyzend
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hayk Barseghyan
- Center for Genetics Medicine Research, Children's National Research Institute, Children's National Hospital, Washington, DC 20010, USA; Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA
| | - Bo Yuan
- Department of Molecular and Human Genetics and Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Philip M Boone
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emily E Groopman
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emmanuèle C Délot
- Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA; Center for Genetics Medicine Research, Children's National Research and Innovation Campus, Washington, DC, USA; Department of Pediatrics, George Washington University, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA
| | - Deepti Jain
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA 98195, USA
| | - Alba Sanchis-Juan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lea M Starita
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Michael Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephen B Montgomery
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael J Bamshad
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jessica X Chong
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Matthew T Wheeler
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Seth I Berger
- Center for Genetics Medicine Research and Rare Disease Institute, Children's National Hospital, Washington, DC 20010, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, USA
| | - Danny E Miller
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA.
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20
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Jordan E, Kinnamon DD, Haas GJ, Hofmeyer M, Kransdorf E, Ewald GA, Morris AA, Owens A, Lowes B, Stoller D, Tang WHW, Garg S, Trachtenberg BH, Shah P, Pamboukian SV, Sweitzer NK, Wheeler MT, Wilcox JE, Katz S, Pan S, Jimenez J, Fishbein DP, Smart F, Wang J, Gottlieb SS, Judge DP, Moore CK, Mead JO, Hurst N, Cao J, Huggins GS, Cowan J, Ni H, Rehm HL, Jarvik GP, Vatta M, Burke W, Hershberger RE. Genetic Architecture of Dilated Cardiomyopathy in Individuals of African and European Ancestry. JAMA 2023; 330:432-441. [PMID: 37526719 PMCID: PMC10394581 DOI: 10.1001/jama.2023.11970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Accepted: 06/13/2023] [Indexed: 08/02/2023]
Abstract
Importance Black patients with dilated cardiomyopathy (DCM) have increased familial risk and worse outcomes than White patients, but most DCM genetic data are from White patients. Objective To compare the rare variant genetic architecture of DCM by genomic ancestry within a diverse population of patients with DCM. Design Cross-sectional study enrolling patients with DCM who self-identified as non-Hispanic Black, Hispanic, or non-Hispanic White from June 7, 2016, to March 15, 2020, at 25 US advanced heart failure programs. Variants in 36 DCM genes were adjudicated as pathogenic, likely pathogenic, or of uncertain significance. Exposure Presence of DCM. Main Outcomes and Measures Variants in DCM genes classified as pathogenic/likely pathogenic/uncertain significance and clinically actionable (pathogenic/likely pathogenic). Results A total of 505, 667, and 26 patients with DCM of predominantly African, European, or Native American genomic ancestry, respectively, were included. Compared with patients of European ancestry, a lower percentage of patients of African ancestry had clinically actionable variants (8.2% [95% CI, 5.2%-11.1%] vs 25.5% [95% CI, 21.3%-29.6%]), reflecting the lower odds of a clinically actionable variant for those with any pathogenic variant/likely pathogenic variant/variant of uncertain significance (odds ratio, 0.25 [95% CI, 0.17-0.37]). On average, patients of African ancestry had fewer clinically actionable variants in TTN (difference, -0.09 [95% CI, -0.14 to -0.05]) and other genes with predicted loss of function as a disease-causing mechanism (difference, -0.06 [95% CI, -0.11 to -0.02]). However, the number of pathogenic variants/likely pathogenic variants/variants of uncertain significance was more comparable between ancestry groups (difference, -0.07 [95% CI, -0.22 to 0.09]) due to a larger number of non-TTN non-predicted loss of function variants of uncertain significance, mostly missense, in patients of African ancestry (difference, 0.15 [95% CI, 0.00-0.30]). Published clinical case-based evidence supporting pathogenicity was less available for variants found only in patients of African ancestry (P < .001). Conclusion and Relevance Patients of African ancestry with DCM were less likely to have clinically actionable variants in DCM genes than those of European ancestry due to differences in genetic architecture and a lack of representation of African ancestry in clinical data sets.
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Affiliation(s)
- Elizabeth Jordan
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Daniel D. Kinnamon
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Garrie J. Haas
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus
| | - Mark Hofmeyer
- MedStar Health Research Institute, MedStar Washington Hospital Center, Washington, DC
| | - Evan Kransdorf
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | | | | | - Anjali Owens
- Center for Inherited Cardiovascular Disease, Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Brian Lowes
- University of Nebraska Medical Center, Omaha
| | | | | | - Sonia Garg
- University of Texas Southwestern Medical Center, Dallas
| | - Barry H. Trachtenberg
- Houston Methodist DeBakey Heart and Vascular Center, J. C. Walter Jr Transplant Center, Houston, Texas
| | - Palak Shah
- Inova Heart and Vascular Institute, Falls Church, Virginia
| | | | - Nancy K. Sweitzer
- Sarver Heart Center, University of Arizona, Tucson
- Now with Washington University, St Louis, Missouri
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
| | - Jane E. Wilcox
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Stuart Katz
- New York University Langone Medical Center, New York, New York
| | - Stephen Pan
- Department of Cardiology, Westchester Medical Center and New York Medical College, Valhalla
| | - Javier Jimenez
- Miami Cardiac and Vascular Institute, Baptist Health South, Miami, Florida
| | | | - Frank Smart
- Louisiana State University Health Sciences Center, New Orleans
| | - Jessica Wang
- University of California Los Angeles Medical Center, Los Angeles
| | | | | | | | - Jonathan O. Mead
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Natalie Hurst
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Jinwen Cao
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Gordon S. Huggins
- Cardiology Division, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts
| | - Jason Cowan
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Hanyu Ni
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Heidi L. Rehm
- Center for Genomic Medicine, Massachusetts General Hospital, Boston
| | - Gail P. Jarvik
- Division of Medical Genetics, Department of Medicine, University of Washington, Seattle
- Department of Genome Sciences, University of Washington, Seattle
| | - Matteo Vatta
- Departments of Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis
| | - Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle
| | - Ray E. Hershberger
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- Davis Heart and Lung Research Institute, The Ohio State University, Columbus
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus
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21
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Wheeler MT, Chen YM, Myers J. Assessment of Oxygen Pulse in Hypertrophic Cardiomyopathy-Reply. JAMA Cardiol 2023; 8:796-797. [PMID: 37405726 DOI: 10.1001/jamacardio.2023.1889] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 07/06/2023]
Affiliation(s)
- Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California
| | | | - Jonathan Myers
- Veterans Affairs Palo Alto Health Care System, Palo Alto, California
- Stanford University, Stanford, California
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22
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Ni H, Jordan E, Kinnamon DD, Cao J, Haas GJ, Hofmeyer M, Kransdorf E, Ewald GA, Morris AA, Owens A, Lowes B, Stoller D, Tang WHW, Garg S, Trachtenberg BH, Shah P, Pamboukian SV, Sweitzer NK, Wheeler MT, Wilcox JE, Katz S, Pan S, Jimenez J, Fishbein DP, Smart F, Wang J, Gottlieb SS, Judge DP, Moore CK, Huggins GS, Hershberger RE. Screening for Dilated Cardiomyopathy in At-Risk First-Degree Relatives. J Am Coll Cardiol 2023; 81:2059-2071. [PMID: 37225358 PMCID: PMC10563038 DOI: 10.1016/j.jacc.2023.03.419] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/14/2023] [Accepted: 03/20/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND Cardiovascular screening is recommended for first-degree relatives (FDRs) of patients with dilated cardiomyopathy (DCM), but the yield of FDR screening is uncertain for DCM patients without known familial DCM, for non-White FDRs, or for DCM partial phenotypes of left ventricular enlargement (LVE) or left ventricular systolic dysfunction (LVSD). OBJECTIVES This study examined the yield of clinical screening among reportedly unaffected FDRs of DCM patients. METHODS Adult FDRs of DCM patients at 25 sites completed screening echocardiograms and ECGs. Mixed models accounting for site heterogeneity and intrafamilial correlation were used to compare screen-based percentages of DCM, LVSD, or LVE by FDR demographics, cardiovascular risk factors, and proband genetics results. RESULTS A total of 1,365 FDRs were included, with a mean age of 44.8 ± 16.9 years, 27.5% non-Hispanic Black, 9.8% Hispanic, and 61.7% women. Among screened FDRs, 14.1% had new diagnoses of DCM (2.1%), LVSD (3.6%), or LVE (8.4%). The percentage of FDRs with new diagnoses was higher for those aged 45 to 64 years than 18 to 44 years. The age-adjusted percentage of any finding was higher among FDRs with hypertension and obesity but did not differ statistically by race and ethnicity (16.2% for Hispanic, 15.2% for non-Hispanic Black, and 13.1% for non-Hispanic White) or sex (14.6% for women and 12.8% for men). FDRs whose probands carried clinically reportable variants were more likely to be identified with DCM. CONCLUSIONS Cardiovascular screening identified new DCM-related findings among 1 in 7 reportedly unaffected FDRs regardless of race and ethnicity, underscoring the value of clinical screening in all FDRs.
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Affiliation(s)
- Hanyu Ni
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA; The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Elizabeth Jordan
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA; The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Daniel D Kinnamon
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA; The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Jinwen Cao
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA; The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA
| | - Garrie J Haas
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA; Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA
| | - Mark Hofmeyer
- Medstar Research Institute, Washington Hospital Center, Washington, DC, USA
| | - Evan Kransdorf
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | | | | | - Anjali Owens
- Center for Inherited Cardiovascular Disease, Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Brian Lowes
- University of Nebraska Medical Center, Omaha, Nebraska, USA
| | | | - W H Wilson Tang
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, Ohio, USA
| | - Sonia Garg
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Barry H Trachtenberg
- Houston Methodist DeBakey Heart and Vascular Center, J.C. Walter Jr Transplant Center, Houston Texas, USA
| | - Palak Shah
- Inova Heart and Vascular Institute, Falls Church, Virginia, USA
| | | | - Nancy K Sweitzer
- Sarver Heart Center, University of Arizona, Tucson, Arizona, USA (current address Division of Cardiology, Washington University, St Louis, Missouri, USA)
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Jane E Wilcox
- Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Stuart Katz
- New York University Langone Medical Center, New York, New York, USA
| | - Stephen Pan
- Department of Cardiology, Westchester Medical Center and New York Medical College, Valhalla, New York, USA
| | - Javier Jimenez
- Miami Cardiac and Vascular Institute, Baptist Health South, Miami, Florida, USA
| | | | - Frank Smart
- Louisiana State University Health Sciences Center, New Orleans, Louisiana, USA
| | - Jessica Wang
- University of California Los Angeles Medical Center, Los Angeles, California, USA
| | | | - Daniel P Judge
- Medical University of South Carolina, Charleston, South Carolina, USA
| | - Charles K Moore
- University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Gordon S Huggins
- Cardiology Division, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts, USA
| | - Ray E Hershberger
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA; The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, Ohio, USA; Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, Ohio, USA.
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23
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Harris CS, Froelicher VF, Wheeler MT. The Reply. Am J Med 2023; 136:e106. [PMID: 37137577 DOI: 10.1016/j.amjmed.2023.01.042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 01/24/2023] [Indexed: 05/05/2023]
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24
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Kinnamon DD, Jordan E, Haas GJ, Hofmeyer M, Kransdorf E, Ewald GA, Morris AA, Owens A, Lowes B, Stoller D, Tang WHW, Garg S, Trachtenberg BH, Shah P, Pamboukian SV, Sweitzer NK, Wheeler MT, Wilcox JE, Katz S, Pan S, Jimenez J, Aaronson KD, Fishbein DP, Smart F, Wang J, Gottlieb SS, Judge DP, Moore CK, Mead JO, Huggins GS, Ni H, Burke W, Hershberger RE. Effectiveness of the Family Heart Talk Communication Tool in Improving Family Member Screening for Dilated Cardiomyopathy: Results of a Randomized Trial. Circulation 2023; 147:1281-1290. [PMID: 36938756 PMCID: PMC10133091 DOI: 10.1161/circulationaha.122.062507] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 02/15/2023] [Indexed: 03/21/2023]
Abstract
BACKGROUND Managing disease risk among first-degree relatives of probands diagnosed with a heritable disease is central to precision medicine. A critical component is often clinical screening, which is particularly important for conditions like dilated cardiomyopathy (DCM) that remain asymptomatic until severe disease develops. Nonetheless, probands are frequently ill-equipped to disseminate genetic risk information that motivates at-risk relatives to complete recommended clinical screening. An easily implemented remedy for this key issue has been elusive. METHODS The DCM Precision Medicine Study developed Family Heart Talk, a booklet designed to help probands with DCM communicate genetic risk and the need for cardiovascular screening to their relatives. The effectiveness of the Family Heart Talk booklet in increasing cardiovascular clinical screening uptake among first-degree relatives was assessed in a multicenter, open-label, cluster-randomized, controlled trial. The primary outcome measured in eligible first-degree relatives was completion of screening initiated within 12 months after proband enrollment. Because probands randomized to the intervention received the booklet at the enrollment visit, eligible first-degree relatives were limited to those who were alive the day after proband enrollment and not enrolled on the same day as the proband. RESULTS Between June 2016 and March 2020, 1241 probands were randomized (1:1) to receive Family Heart Talk (n=621) or not (n=620) within strata defined by site and self-identified race/ethnicity (non-Hispanic Black, non-Hispanic White, or Hispanic). Final analyses included 550 families (n=2230 eligible first-degree relatives) in the Family Heart Talk arm and 561 (n=2416) in the control arm. A higher percentage of eligible first-degree relatives completed screening in the Family Heart Talk arm (19.5% versus 16.0%), and the odds of screening completion among these first-degree relatives were higher in the Family Heart Talk arm after adjustment for proband randomization stratum, sex, and age quartile (odds ratio, 1.30 [1-sided 95% CI, 1.08-∞]). A prespecified subgroup analysis did not find evidence of heterogeneity in the adjusted intervention odds ratio across race/ethnicity strata (P=0.90). CONCLUSIONS Family Heart Talk, a booklet that can be provided to patients with DCM by clinicians with minimal additional time investment, was effective in increasing cardiovascular clinical screening among first-degree relatives of these patients. REGISTRATION URL: https://www. CLINICALTRIALS gov; Unique identifier: NCT03037632.
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Affiliation(s)
- Daniel D. Kinnamon
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
| | - Elizabeth Jordan
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
| | - Garrie J. Haas
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH
| | - Mark Hofmeyer
- Medstar Research Institute, Washington Hospital Center, Washington, DC
| | - Evan Kransdorf
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | | | - Anjali Owens
- Center for Inherited Cardiovascular Disease, Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Brian Lowes
- University of Nebraska Medical Center, Omaha, NE
| | | | - W. H. Wilson Tang
- Department of Cardiovascular Medicine, Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH
| | - Sonia Garg
- University of Texas Southwestern Medical Center, Dallas, TX
| | - Barry H. Trachtenberg
- Houston Methodist DeBakey Heart and Vascular Center, J.C. Walter Jr. Transplant Center, Houston TX
| | - Palak Shah
- Inova Heart and Vascular Institute, Falls Church, VA
| | - Salpy V. Pamboukian
- University of Alabama, Birmingham, AL; current address, University of Washington, Seattle, WA
| | - Nancy K. Sweitzer
- Sarver Heart Center, University of Arizona, Tucson, AZ; current address, Division of Cardiology, Washington University, St. Louis, MO
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA
| | - Jane E. Wilcox
- Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Stuart Katz
- New York University Langone Medical Center, New York, NY
| | - Stephen Pan
- Department of Cardiology, Westchester Medical Center & New York Medical College, Valhalla, NY
| | - Javier Jimenez
- Miami Cardiac & Vascular Institute, Baptist Health South, Miami, FL
| | | | | | - Frank Smart
- Louisiana State University Health Sciences Center, New Orleans, LA
| | - Jessica Wang
- University of California Los Angeles Medical Center, Los Angeles, CA
| | | | | | | | - Jonathan O. Mead
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
| | - Gordon S. Huggins
- Cardiology Division, Tufts Medical Center and Tufts University School of Medicine, Boston, MA
| | - Hanyu Ni
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
| | - Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle, WA
| | - Ray E. Hershberger
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus, OH
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus, OH
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25
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Srivastava S, Shaked HM, Gable K, Gupta SD, Pan X, Somashekarappa N, Han G, Mohassel P, Gotkine M, Doney E, Goldenberg P, Tan QKG, Gong Y, Kleinstiver B, Wishart B, Cope H, Pires CB, Stutzman H, Spillmann RC, Sadjadi R, Elpeleg O, Lee CH, Bellen HJ, Edvardson S, Eichler F, Dunn TM, Dai H, Dhar SU, Emrick LT, Goldman AM, Hanchard NA, Jamal F, Karaviti L, Lalani SR, Lee BH, Lewis RA, Marom R, Moretti PM, Murdock DR, Nicholas SK, Orengo JP, Posey JE, Potocki L, Rosenfeld JA, Samson SL, Scott DA, Tran AA, Vogel TP, Wangler MF, Yamamoto S, Eng CM, Liu P, Ward PA, Behrens E, Deardorff M, Falk M, Hassey K, Sullivan K, Vanderver A, Goldstein DB, Cope H, McConkie-Rosell A, Schoch K, Shashi V, Smith EC, Spillmann RC, Sullivan JA, Tan QKG, Walley NM, Agrawal PB, Beggs AH, Berry GT, Briere LC, Cobban LA, Coggins M, Cooper CM, Fieg EL, High F, Holm IA, Korrick S, Krier JB, Lincoln SA, Loscalzo J, Maas RL, MacRae CA, Pallais JC, Rao DA, Rodan LH, Silverman EK, Stoler JM, Sweetser DA, Walker M, Walsh CA, Esteves C, Kelley EG, Kohane IS, LeBlanc K, McCray AT, Nagy A, Dasari S, Lanpher BC, Lanza IR, Morava E, Oglesbee D, Bademci G, Barbouth D, Bivona S, Carrasquillo O, Chang TCP, Forghani I, Grajewski A, Isasi R, Lam B, Levitt R, Liu XZ, McCauley J, Sacco R, Saporta M, Schaechter J, Tekin M, Telischi F, Thorson W, Zuchner S, Colley HA, Dayal JG, Eckstein DJ, Findley LC, Krasnewich DM, Mamounas LA, Manolio TA, Mulvihill JJ, LaMoure GL, Goldrich MP, Urv TK, Doss AL, Acosta MT, Bonnenmann C, D’Souza P, Draper DD, Ferreira C, Godfrey RA, Groden CA, Macnamara EF, Maduro VV, Markello TC, Nath A, Novacic D, Pusey BN, Toro C, Wahl CE, Baker E, Burke EA, Adams DR, Gahl WA, Malicdan MCV, Tifft CJ, Wolfe LA, Yang J, Power B, Gochuico B, Huryn L, Latham L, Davis J, Mosbrook-Davis D, Rossignol F, Solomon B, MacDowall J, Thurm A, Zein W, Yousef M, Adam M, Amendola L, Bamshad M, Beck A, Bennett J, Berg-Rood B, Blue E, Boyd B, Byers P, Chanprasert S, Cunningham M, Dipple K, Doherty D, Earl D, Glass I, Golden-Grant K, Hahn S, Hing A, Hisama FM, Horike-Pyne M, Jarvik GP, Jarvik J, Jayadev S, Lam C, Maravilla K, Mefford H, Merritt JL, Mirzaa G, Nickerson D, Raskind W, Rosenwasser N, Scott CR, Sun A, Sybert V, Wallace S, Wener M, Wenger T, Ashley EA, Bejerano G, Bernstein JA, Bonner D, Coakley TR, Fernandez L, Fisher PG, Fresard L, Hom J, Huang Y, Kohler JN, Kravets E, Majcherska MM, Martin BA, Marwaha S, McCormack CE, Raja AN, Reuter CM, Ruzhnikov M, Sampson JB, Smith KS, Sutton S, Tabor HK, Tucker BM, Wheeler MT, Zastrow DB, Zhao C, Byrd WE, Crouse AB, Might M, Nakano-Okuno M, Whitlock J, Brown G, Butte MJ, Dell’Angelica EC, Dorrani N, Douine ED, Fogel BL, Gutierrez I, Huang A, Krakow D, Lee H, Loo SK, Mak BC, Martin MG, Martínez-Agosto JA, McGee E, Nelson SF, Nieves-Rodriguez S, Palmer CGS, Papp JC, Parker NH, Renteria G, Signer RH, Sinsheimer JS, Wan J, Wang LK, Perry KW, Woods JD, Alvey J, Andrews A, Bale J, Bohnsack J, Botto L, Carey J, Pace L, Longo N, Marth G, Moretti P, Quinlan A, Velinder M, Viskochi D, Bayrak-Toydemir P, Mao R, Westerfield M, Bican A, Brokamp E, Duncan L, Hamid R, Kennedy J, Kozuira M, Newman JH, PhillipsIII JA, Rives L, Robertson AK, Solem E, Cogan JD, Cole FS, Hayes N, Kiley D, Sisco K, Wambach J, Wegner D, Baldridge D, Pak S, Schedl T, Shin J, Solnica-Krezel L, Sadjadi R, Elpeleg O, Lee CH, Bellen HJ, Edvardson S, Eichler F, Dunn TM. SPTSSA variants alter sphingolipid synthesis and cause a complex hereditary spastic paraplegia. Brain 2023; 146:1420-1435. [PMID: 36718090 PMCID: PMC10319774 DOI: 10.1093/brain/awac460] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Revised: 11/03/2022] [Accepted: 11/19/2022] [Indexed: 02/01/2023] Open
Abstract
Sphingolipids are a diverse family of lipids with critical structural and signalling functions in the mammalian nervous system, where they are abundant in myelin membranes. Serine palmitoyltransferase, the enzyme that catalyses the rate-limiting reaction of sphingolipid synthesis, is composed of multiple subunits including an activating subunit, SPTSSA. Sphingolipids are both essential and cytotoxic and their synthesis must therefore be tightly regulated. Key to the homeostatic regulation are the ORMDL proteins that are bound to serine palmitoyltransferase and mediate feedback inhibition of enzymatic activity when sphingolipid levels become excessive. Exome sequencing identified potential disease-causing variants in SPTSSA in three children presenting with a complex form of hereditary spastic paraplegia. The effect of these variants on the catalytic activity and homeostatic regulation of serine palmitoyltransferase was investigated in human embryonic kidney cells, patient fibroblasts and Drosophila. Our results showed that two different pathogenic variants in SPTSSA caused a hereditary spastic paraplegia resulting in progressive motor disturbance with variable sensorineural hearing loss and language/cognitive dysfunction in three individuals. The variants in SPTSSA impaired the negative regulation of serine palmitoyltransferase by ORMDLs leading to excessive sphingolipid synthesis based on biochemical studies and in vivo studies in Drosophila. These findings support the pathogenicity of the SPTSSA variants and point to excessive sphingolipid synthesis due to impaired homeostatic regulation of serine palmitoyltransferase as responsible for defects in early brain development and function.
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Affiliation(s)
- Siddharth Srivastava
- Department of Neurology, Rosamund Stone Zander Translational Neuroscience Center, BostonChildren's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Hagar Mor Shaked
- Department of Genetics, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Kenneth Gable
- Department of Biochemistry and Molecular Biology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Sita D Gupta
- Department of Biochemistry and Molecular Biology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Xueyang Pan
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Niranjanakumari Somashekarappa
- Department of Biochemistry and Molecular Biology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Gongshe Han
- Department of Biochemistry and Molecular Biology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
| | - Payam Mohassel
- Neuromuscular and Neurogenetic Disorders of Childhood Section, National Institute of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD 20814, USA
| | - Marc Gotkine
- Department of Genetics, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | | | - Paula Goldenberg
- Department of Pediatrics, Section on Medical Genetics, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Queenie K G Tan
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, NC 27710, USA
| | - Yi Gong
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Benjamin Kleinstiver
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA.,Department of Pathology, Harvard Medical School, Boston, MA 02115, USA
| | - Brian Wishart
- Physical Medicine and Rehabilitation, Spaulding Rehabilitation Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Heidi Cope
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, NC 27710, USA
| | - Claudia Brito Pires
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Hannah Stutzman
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.,Department of Pathology, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Rebecca C Spillmann
- Department of Pediatrics, Division of Medical Genetics, Duke University School of Medicine, Durham, NC 27710, USA
| | | | - Reza Sadjadi
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Orly Elpeleg
- Department of Genetics, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem 91120, Israel
| | - Chia-Hsueh Lee
- Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX 77030, USA.,Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | - Simon Edvardson
- Pediatric Neurology Unit, Hadassah University Hospital, Mount Scopus, Jerusalem 91240, Israel
| | - Florian Eichler
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA.,Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA
| | - Teresa M Dunn
- Department of Biochemistry and Molecular Biology, Uniformed Services University of the Health Sciences, Bethesda, MD 20814, USA
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- Department of Neurology, Massachusetts General Hospital, Harvard Medical School , Boston, MA 02114 , USA
| | - Orly Elpeleg
- Department of Genetics, Hadassah Medical Center and Faculty of Medicine, Hebrew University of Jerusalem , Jerusalem 91120 , Israel
| | - Chia-Hsueh Lee
- Department of Structural Biology, St. Jude Children’s Research Hospital , Memphis, TN 38105 , USA
| | - Hugo J Bellen
- Department of Molecular and Human Genetics, Baylor College of Medicine , Houston, TX 77030 , USA
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital , Houston, TX 77030 , USA
| | - Simon Edvardson
- Pediatric Neurology Unit, Hadassah University Hospital, Mount Scopus , Jerusalem 91240 , Israel
| | - Florian Eichler
- Department of Neurology, Massachusetts General Hospital, Harvard Medical School , Boston, MA 02114 , USA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School , Boston, MA 02114 , USA
| | - Teresa M Dunn
- Department of Biochemistry and Molecular Biology, Uniformed Services University of the Health Sciences , Bethesda, MD 20814 , USA
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26
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Kim Y, Mastali M, Van Eyk JE, Orav EJ, Vissing CR, Day SM, Raja AA, Russell MW, Zahka K, Lever HM, Pereira AC, Murphy AM, Canter C, Bach RG, Wheeler MT, Rossano JW, Owens AT, Bundgaard H, Benson L, Mestroni L, Taylor MRG, Patel AR, Wilmot I, Thrush P, Soslow JH, Becker JR, Seidman CE, Ho CY. Transforming Growth Factor-β Analysis of the VANISH Trial Cohort. Circ Heart Fail 2023; 16:e010314. [PMID: 36999957 PMCID: PMC10121916 DOI: 10.1161/circheartfailure.122.010314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/01/2023]
Affiliation(s)
- Yuri Kim
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston MA, USA
| | - Mitra Mastali
- Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Jennifer E. Van Eyk
- Advanced Clinical Biosystems Research Institute, The Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - E. John Orav
- Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Christoffer R. Vissing
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston MA, USA
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Sharlene M. Day
- Division of Cardiovascular Medicine Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Anna Axelsson Raja
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Mark W. Russell
- Division of Pediatric Cardiology, Department of Pediatrics, University of Michigan Medical Center, Ann Arbor, MI, USA
| | - Kenneth Zahka
- Department of Pediatric Cardiology, Cleveland Clinic Children’s, Pediatric Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Harry M. Lever
- Department of Pediatric Cardiology, Cleveland Clinic Children’s, Pediatric Institute, Cleveland Clinic Foundation, Cleveland, OH, USA
| | - Alexandre C. Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute, University of Sao Paulo Medical School, Sao Paulo, Brazil
| | - Anne M. Murphy
- Division of Pediatric Cardiology, Department of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Charles Canter
- Department of Pediatrics, Washington University School of Medicine, St. Louis, MO, USA
| | - Richard G. Bach
- Department of Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph W. Rossano
- Division of Cardiology, Children’s Hospital of Philadelphia, Philadelphia, PA, USA
| | - Anjali T. Owens
- Division of Cardiovascular Medicine Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Henning Bundgaard
- Department of Cardiology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Lee Benson
- The Labatt Family Heart Centre, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada
| | - Luisa Mestroni
- Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Matthew R. G. Taylor
- Division of Cardiology, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Amit R. Patel
- Division of Cardiology, University of Virginia, Charlottesville, VA, USA
| | - Ivan Wilmot
- Heart Institute, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, USA
| | - Philip Thrush
- Division of Pediatric Cardiology, Ann & Robert H. Lurie Children’s Hospital of Chicago, Chicago, IL, USA
| | - Jonathan H. Soslow
- Division of Pediatric Cardiology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jason R. Becker
- Division of Cardiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, USA
| | - Christine E. Seidman
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | | | - Carolyn Y. Ho
- Division of Cardiovascular Medicine, Brigham and Women’s Hospital, Boston MA, USA
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27
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Spillmann RC, Tan QKG, Reuter C, Schoch K, Kohler J, Bonner D, Zastrow D, Alkelai A, Baugh E, Cope H, Marwaha S, Wheeler MT, Bernstein JA, Shashi V. A concurrent dual analysis of genomic data augments diagnoses: Experiences of 2 clinical sites in the Undiagnosed Diseases Network. Genet Med 2023; 25:100353. [PMID: 36481303 PMCID: PMC10506157 DOI: 10.1016/j.gim.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2022] [Revised: 11/28/2022] [Accepted: 12/01/2022] [Indexed: 12/12/2022] Open
Abstract
PURPOSE Next-generation sequencing (NGS) has revolutionized the diagnostic process for rare/ultrarare conditions. However, diagnosis rates differ between analytical pipelines. In the National Institutes of Health-Undiagnosed Diseases Network (UDN) study, each individual's NGS data are concurrently analyzed by the UDN sequencing core laboratory and the clinical sites. We examined the outcomes of this practice. METHODS A retrospective review was performed at 2 UDN clinical sites to compare the variants and diagnoses/candidate genes identified with the dual analyses of the NGS data. RESULTS In total, 95 individuals had 100 diagnoses/candidate genes. There was 59% concordance between the UDN sequencing core laboratories and the clinical sites in identifying diagnoses/candidate genes. The core laboratory provided more diagnoses, whereas the clinical sites prioritized more research variants/candidate genes (P < .001). The clinical sites solely identified 15% of the diagnoses/candidate genes. The differences between the 2 pipelines were more often because of variant prioritization disparities than variant detection. CONCLUSION The unique dual analysis of NGS data in the UDN synergistically enhances outcomes. The core laboratory provided a clinical analysis with more diagnoses and the clinical sites prioritized more research variants/candidate genes. Implementing such concurrent dual analyses in other genomic research studies and clinical settings can improve both variant detection and prioritization.
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Affiliation(s)
- Rebecca C Spillmann
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Queenie K-G Tan
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Chloe Reuter
- Stanford Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA; Stanford Center for Undiagnosed Diseases, Stanford University, and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Kelly Schoch
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Jennefer Kohler
- Stanford Center for Undiagnosed Diseases, Stanford University, and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Devon Bonner
- Stanford Center for Undiagnosed Diseases, Stanford University, and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Diane Zastrow
- Stanford Center for Undiagnosed Diseases, Stanford University, and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Anna Alkelai
- Institute for Genome Medicine, Columbia University Medical Center, New York, NY
| | - Evan Baugh
- Institute for Genome Medicine, Columbia University Medical Center, New York, NY
| | - Heidi Cope
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC
| | - Shruti Marwaha
- Stanford Center for Undiagnosed Diseases, Stanford University, and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Matthew T Wheeler
- Stanford Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA; Stanford Center for Undiagnosed Diseases, Stanford University, and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Jonathan A Bernstein
- Stanford Center for Undiagnosed Diseases, Stanford University, and Department of Pediatrics, Stanford University School of Medicine, Stanford, CA
| | - Vandana Shashi
- Division of Medical Genetics, Department of Pediatrics, Duke University School of Medicine, Durham, NC.
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28
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Wheeler MT, Olivotto I, Elliott PM, Saberi S, Owens AT, Maurer MS, Masri A, Sehnert AJ, Edelberg JM, Chen YM, Florea V, Malhotra R, Wang A, Oręziak A, Myers J. Effects of Mavacamten on Measures of Cardiopulmonary Exercise Testing Beyond Peak Oxygen Consumption: A Secondary Analysis of the EXPLORER-HCM Randomized Trial. JAMA Cardiol 2023; 8:240-247. [PMID: 36652223 PMCID: PMC9857843 DOI: 10.1001/jamacardio.2022.5099] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/17/2022] [Indexed: 01/19/2023]
Abstract
Importance Mavacamten, a cardiac myosin inhibitor, improved peak oxygen uptake (pVO2) in patients with symptomatic obstructive hypertrophic cardiomyopathy (HCM) in the EXPLORER-HCM study. However, the full extent of mavacamten's effects on exercise performance remains unclear. Objective To investigate the effect of mavacamten on exercise physiology using cardiopulmonary exercise testing (CPET). Design, Setting, and Participants Exploratory analyses of the data from the EXPLORER-HCM study, a randomized, double-blind, placebo-controlled, phase 3 trial that was conducted in 68 cardiovascular centers in 13 countries. In total, 251 patients with symptomatic obstructive HCM were enrolled. Interventions Patients were randomly assigned in a 1:1 ratio to mavacamten or placebo. Main Outcomes and Measures The following prespecified exploratory cardiovascular and performance parameters were assessed with a standardized treadmill or bicycle ergometer test protocol at baseline and week 30: carbon dioxide output (VCO2), minute ventilation (VE), peak VE/VCO2 ratio, ventilatory efficiency (VE/VCO2 slope), peak respiratory exchange ratio (RER), peak circulatory power, ventilatory power, ventilatory threshold, peak metabolic equivalents (METs), peak exercise time, partial pressure of end-tidal carbon dioxide (PETCO2), and VO2/workload slope. Results Two hundred fifty-one patients were enrolled. The mean (SD) age was 58.5 (11.9) years and 59% of patients were male. There were significant improvements with mavacamten vs placebo in the following peak-exercise CPET parameters: peak VE/VCO2 ratio (least squares [LS] mean difference, -2.2; 95% CI, -3.05 to -1.26; P < .001), peak METs (LS mean difference, 0.4; 95% CI, 0.17-0.60; P < .001), peak circulatory power (LS mean difference, 372.9 mL/kg/min × mm Hg; 95% CI, 153.12-592.61; P = .001), and peak PETCO2 (LS mean difference, 2.0 mm Hg; 95% CI, 1.12-2.79; P < .001). Mavacamten also improved peak exercise time compared with placebo (LS mean difference, 0.7 minutes; 95% CI, 0.13-1.24; P = .02). There was a significant improvement in nonpeak-exercise CPET parameters, such as VE/VCO2 slope (LS mean difference, -2.6; 95% CI, -3.58 to -1.52; P < .001) and ventilatory power (LS mean difference, 0.6 mm Hg; 95% CI, 0.29-0.90; P < .001) favoring mavacamten vs placebo. Conclusions and Relevance Mavacamten improved a range of CPET parameters beyond pVO2, indicating consistent and broad benefits on maximal exercise capacity. Although improvements in peak-exercise CPET parameters are clinically meaningful, the favorable effects of mavacamten on submaximal exertional tolerance provide further insights into the beneficial impact of mavacamten in patients with obstructive HCM. Trial Registration ClinicalTrials.gov Identifier: NCT03470545.
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Affiliation(s)
- Matthew T. Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
| | - Iacopo Olivotto
- Azienda Ospedaliera Universitaria Careggi, Florence, Italy
- University of Florence, Florence, Italy
| | - Perry M. Elliott
- Institute of Cardiovascular Science, University College London, London, United Kingdom
| | - Sara Saberi
- Department of Internal Medicine, Division of Cardiovascular Medicine, University of Michigan Medical School, Ann Arbor
| | - Anjali T. Owens
- Center for Inherited Cardiovascular Disease, University of Pennsylvania Perelman School of Medicine, Philadelphia
| | | | - Ahmad Masri
- Center for Hypertrophic Cardiomyopathy, Knight Cardiovascular Institute, Oregon Health & Science University, Portland
| | - Amy J. Sehnert
- MyoKardia, Inc, a wholly owned subsidiary of Bristol Myers Squibb, Brisbane, California
| | - Jay M. Edelberg
- MyoKardia, Inc, a wholly owned subsidiary of Bristol Myers Squibb, Brisbane, California
| | - Yu-Mao Chen
- Bristol Myers Squibb, Princeton Pike, New Jersey
| | - Victoria Florea
- MyoKardia, Inc, a wholly owned subsidiary of Bristol Myers Squibb, Brisbane, California
| | - Rajeev Malhotra
- Cardiology Division, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston
| | - Andrew Wang
- Duke University Hospital, Durham, North Carolina
| | - Artur Oręziak
- 1st Department of Arrhythmia, National Institute of Cardiology, Warsaw, Poland
| | - Jonathan Myers
- Veterans Affairs Palo Alto Health Care System, Palo Alto, California
- Stanford University, Stanford, California
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29
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Morimoto M, Bhambhani V, Gazzaz N, Davids M, Sathiyaseelan P, Macnamara EF, Lange J, Lehman A, Zerfas PM, Murphy JL, Acosta MT, Wang C, Alderman E, Reichert S, Thurm A, Adams DR, Introne WJ, Gorski SM, Boerkoel CF, Gahl WA, Tifft CJ, Malicdan MCV, Baldridge D, Bale J, Bamshad M, Barbouth D, Bayrak-Toydemir P, Beck A, Beggs AH, Behrens E, Bejerano G, Bellen HJ, Bennett J, Berg-Rood B, Bernstein JA, Berry GT, Bican A, Bivona S, Blue E, Bohnsack J, Bonner D, Botto L, Boyd B, Briere LC, Brokamp E, Brown G, Burke EA, Burrage LC, Butte MJ, Byers P, Byrd WE, Carey J, Carrasquillo O, Cassini T, Chang TCP, Chanprasert S, Chao HT, Clark GD, Coakley TR, Cobban LA, Cogan JD, Coggins M, Cole FS, Colley HA, Cooper CM, Cope H, Craigen WJ, Crouse AB, Cunningham M, D’Souza P, Dai H, Dasari S, Davis J, Dayal JG, Dell’Angelica EC, Dipple K, Doherty D, Dorrani N, Doss AL, Douine ED, Duncan L, Earl D, Eckstein DJ, Emrick LT, Eng CM, Esteves C, Falk M, Fieg EL, Fisher PG, Fogel BL, Forghani I, Glass I, Gochuico B, Goddard PC, Godfrey RA, Golden-Grant K, Grajewski A, Gutierrez I, Hadley D, Hahn S, Halley MC, Hamid R, Hassey K, Hayes N, High F, Hing A, Hisama FM, Holm IA, Hom J, Horike-Pyne M, Huang A, Hutchison S, Introne WJ, Isasi R, Izumi K, Jamal F, Jarvik GP, Jarvik J, Jayadev S, Jean-Marie O, Jobanputra V, Karaviti L, Kennedy J, Ketkar S, Kiley D, Kilich G, Kobren SN, Kohane IS, Kohler JN, Korrick S, Kozuira M, Krakow D, Krasnewich DM, Kravets E, Lalani SR, Lam B, Lam C, Lanpher BC, Lanza IR, LeBlanc K, Lee BH, Levitt R, Lewis RA, Liu P, Liu XZ, Longo N, Loo SK, Loscalzo J, Maas RL, MacRae CA, Maduro VV, Mahoney R, Mak BC, Mamounas LA, Manolio TA, Mao R, Maravilla K, Marom R, Marth G, Martin BA, Martin MG, Martínez-Agosto JA, Marwaha S, McCauley J, McConkie-Rosell A, McCray AT, McGee E, Mefford H, Merritt JL, Might M, Mirzaa G, Morava E, Moretti P, Nakano-Okuno M, Nelson SF, Newman JH, Nicholas SK, Nickerson D, Nieves-Rodriguez S, Novacic D, Oglesbee D, Orengo JP, Pace L, Pak S, Pallais JC, Palmer CGS, Papp JC, Parker NH, Phillips JA, Posey JE, Potocki L, Pusey Swerdzewski BN, Quinlan A, Rao DA, Raper A, Raskind W, Renteria G, Reuter CM, Rives L, Robertson AK, Rodan LH, Rosenfeld JA, Rosenwasser N, Rossignol F, Ruzhnikov M, Sacco R, Sampson JB, Saporta M, Schaechter J, Schedl T, Schoch K, Scott DA, Scott CR, Shashi V, Shin J, Silverman EK, Sinsheimer JS, Sisco K, Smith EC, Smith KS, Solem E, Solnica-Krezel L, Solomon B, Spillmann RC, Stoler JM, Sullivan K, Sullivan JA, Sun A, Sutton S, Sweetser DA, Sybert V, Tabor HK, Tan QKG, Tan ALM, Tekin M, Telischi F, Thorson W, Toro C, Tran AA, Ungar RA, Urv TK, Vanderver A, Velinder M, Viskochil D, Vogel TP, Wahl CE, Walker M, Wallace S, Walley NM, Wambach J, Wan J, Wang LK, Wangler MF, Ward PA, Wegner D, Weisz Hubshman M, Wener M, Wenger T, Wesseling Perry K, Westerfield M, Wheeler MT, Whitlock J, Wolfe LA, Worley K, Xiao C, Yamamoto S, Yang J, Zhang Z, Zuchner S, Reichert S, Thurm A, Adams DR, Introne WJ, Gorski SM, Boerkoel CF, Gahl WA, Tifft CJ, Malicdan MCV. Bi-allelic ATG4D variants are associated with a neurodevelopmental disorder characterized by speech and motor impairment. NPJ Genom Med 2023; 8:4. [PMID: 36765070 PMCID: PMC9918471 DOI: 10.1038/s41525-022-00343-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 12/06/2022] [Indexed: 02/12/2023] Open
Abstract
Autophagy regulates the degradation of damaged organelles and protein aggregates, and is critical for neuronal development, homeostasis, and maintenance, yet few neurodevelopmental disorders have been associated with pathogenic variants in genes encoding autophagy-related proteins. We report three individuals from two unrelated families with a neurodevelopmental disorder characterized by speech and motor impairment, and similar facial characteristics. Rare, conserved, bi-allelic variants were identified in ATG4D, encoding one of four ATG4 cysteine proteases important for autophagosome biogenesis, a hallmark of autophagy. Autophagosome biogenesis and induction of autophagy were intact in cells from affected individuals. However, studies evaluating the predominant substrate of ATG4D, GABARAPL1, demonstrated that three of the four ATG4D patient variants functionally impair ATG4D activity. GABARAPL1 is cleaved or "primed" by ATG4D and an in vitro GABARAPL1 priming assay revealed decreased priming activity for three of the four ATG4D variants. Furthermore, a rescue experiment performed in an ATG4 tetra knockout cell line, in which all four ATG4 isoforms were knocked out by gene editing, showed decreased GABARAPL1 priming activity for the two ATG4D missense variants located in the cysteine protease domain required for priming, suggesting that these variants impair the function of ATG4D. The clinical, bioinformatic, and functional data suggest that bi-allelic loss-of-function variants in ATG4D contribute to the pathogenesis of this syndromic neurodevelopmental disorder.
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Affiliation(s)
- Marie Morimoto
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA
| | - Vikas Bhambhani
- grid.418506.e0000 0004 0629 5022Department of Medical Genetics, Children’s Hospitals and Clinics of Minnesota, Minneapolis, MN 55404 USA
| | - Nour Gazzaz
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1 Canada ,grid.414137.40000 0001 0684 7788Provincial Medical Genetics Program, British Columbia Women’s and Children’s Hospital, Vancouver, BC V6H 3N1 Canada ,grid.412125.10000 0001 0619 1117Department of Pediatrics, Faculty of Medicine, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mariska Davids
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA
| | - Paalini Sathiyaseelan
- grid.434706.20000 0004 0410 5424Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 1L3 Canada ,grid.61971.380000 0004 1936 7494Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6 Canada
| | - Ellen F. Macnamara
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA
| | | | - Anna Lehman
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1 Canada
| | - Patricia M. Zerfas
- grid.94365.3d0000 0001 2297 5165Diagnostic and Research Services Branch, Office of Research Services, National Institutes of Health, Bethesda, MD 20892 USA
| | - Jennifer L. Murphy
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA
| | - Maria T. Acosta
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA
| | - Camille Wang
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA
| | - Emily Alderman
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1 Canada ,grid.414137.40000 0001 0684 7788Provincial Medical Genetics Program, British Columbia Women’s and Children’s Hospital, Vancouver, BC V6H 3N1 Canada
| | | | - Sara Reichert
- grid.418506.e0000 0004 0629 5022Department of Medical Genetics, Children’s Hospitals and Clinics of Minnesota, Minneapolis, MN 55404 USA
| | - Audrey Thurm
- grid.94365.3d0000 0001 2297 5165Neurodevelopmental and Behavioral Phenotyping Service, Office of the Clinical Director, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892 USA
| | - David R. Adams
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - Wendy J. Introne
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Human Biochemical Genetics Section, Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - Sharon M. Gorski
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1 Canada ,grid.434706.20000 0004 0410 5424Canada’s Michael Smith Genome Sciences Centre, BC Cancer, Vancouver, BC V5Z 1L3 Canada ,grid.61971.380000 0004 1936 7494Department of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6 Canada
| | - Cornelius F. Boerkoel
- grid.17091.3e0000 0001 2288 9830Department of Medical Genetics, Faculty of Medicine, University of British Columbia, Vancouver, BC V6H 3N1 Canada ,grid.414137.40000 0001 0684 7788Provincial Medical Genetics Program, British Columbia Women’s and Children’s Hospital, Vancouver, BC V6H 3N1 Canada
| | - William A. Gahl
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Human Biochemical Genetics Section, Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - Cynthia J. Tifft
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Office of the Clinical Director, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
| | - May Christine V. Malicdan
- grid.94365.3d0000 0001 2297 5165National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, National Institutes of Health, Bethesda, MD 20892 USA ,grid.94365.3d0000 0001 2297 5165Human Biochemical Genetics Section, Medical Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892 USA
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Wheeler MT, Jacoby D, Elliott PM, Saberi S, Hegde SM, Lakdawala NK, Myers J, Sehnert AJ, Edelberg JM, Li W, Olivotto I. Effect of beta-blocker therapy on the response to mavacamten in patients with symptomatic obstructive hypertrophic cardiomyopathy. Eur J Heart Fail 2023; 25:260-270. [PMID: 36404399 DOI: 10.1002/ejhf.2737] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 09/28/2022] [Accepted: 11/16/2022] [Indexed: 11/22/2022] Open
Abstract
AIMS In the EXPLORER-HCM trial, mavacamten improved exercise capacity and symptoms in patients with obstructive hypertrophic cardiomyopathy (oHCM). Mavacamten effects on the primary endpoint, a composite of peak oxygen consumption (VO2 ) and New York Heart Association (NYHA) class, were greater in patients not receiving background beta-blockers than in those receiving beta-blockers. We sought to determine if the effect of background treatment was consistent across other clinically meaningful parameters. METHODS AND RESULTS Subgroup analyses by beta-blocker use were performed in patients with oHCM from the EXPLORER-HCM and mavacamten long-term extension (MAVA-LTE) studies. In EXPLORER-HCM, 189 patients (75.3%) were receiving beta-blockers, and 62 (24.7%) were receiving non-dihydropyridine calcium channel blockers or no background HCM medication; 170 patients (90.4%) receiving beta-blockers had chronotropic incompetence. Improvements in peak VO2 at week 30 with mavacamten versus placebo were lower with beta-blockers (mean difference [95% confidence interval (CI)]: 1.04 [0.12, 1.95] ml/kg/min) than without beta-blockers (mean difference [95% CI]: 2.69 [1.29, 4.09] ml/kg/min); improvements in non-heart rate-dependent parameters (VE /VCO2 slope) appeared unaffected by beta-blockers. Improvements in functional capacity parameters at week 30 with mavacamten versus placebo were independent of beta-blockade for post-exercise left ventricular outflow tract gradient (mean difference [95% CI]: -37.9 [-48.0, -27.9] mmHg with beta-blockers; -33.5 [-53.6, -13.3] mmHg without beta-blockers), proportion of patients with reduction of ≥1 NYHA class, Kansas City Cardiomyopathy Questionnaire clinical summary scores and N-terminal pro-B-type natriuretic peptide. Mavacamten benefits were reproduced and maintained in MAVA-LTE regardless of beta-blockade. CONCLUSION Mavacamten improved measures of functional capacity, left ventricular outflow tract obstruction, symptom burden and biomarkers in patients with HCM regardless of beta-blocker use. Beta-blocker use was often associated with chronotropic incompetence, affecting peak VO2 and other heart rate-dependent measures, but had minimal impact on heart rate-independent measures.
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Affiliation(s)
- Matthew T Wheeler
- Division of Cardiovascular Medicine, Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA, USA
| | - Daniel Jacoby
- Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University, New Haven, CT, USA
| | - Perry M Elliott
- University College London & St. Bartholomew's Hospital, London, UK
| | - Sara Saberi
- Division of Cardiovascular Medicine, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Sheila M Hegde
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Neal K Lakdawala
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Jonathan Myers
- Division of Cardiology, Veterans Affairs Palo Alto Healthcare System, Palo Alto, CA, USA
- Stanford University, Palo Alto, CA, USA
| | - Amy J Sehnert
- MyoKardia, Inc., a wholly owned subsidiary of Bristol Myers Squibb, Brisbane, CA, USA
| | - Jay M Edelberg
- MyoKardia, Inc., a wholly owned subsidiary of Bristol Myers Squibb, Brisbane, CA, USA
| | - Wanying Li
- MyoKardia, Inc., a wholly owned subsidiary of Bristol Myers Squibb, Brisbane, CA, USA
| | - Iacopo Olivotto
- Cardiomyopathy Unity, Azienda Ospedaliera Universitaria Careggi and University of Florence, Florence, Italy
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31
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Hoorntje ET, Burns C, Marsili L, Corden B, Parikh VN, Te Meerman GJ, Gray B, Adiyaman A, Bagnall RD, Barge-Schaapveld DQCM, van den Berg MP, Bootsma M, Bosman LP, Correnti G, Duflou J, Eppinga RN, Fatkin D, Fietz M, Haan E, Jongbloed JDH, Hauer AD, Lam L, van Lint FHM, Lota A, Marcelis C, McCarthy HJ, van Mil AM, Oldenburg RA, Pachter N, Planken RN, Reuter C, Semsarian C, van der Smagt JJ, Thompson T, Vohra J, Volders PGA, van Waning JI, Whiffin N, van den Wijngaard A, Amin AS, Wilde AAM, van Woerden G, Yeates L, Zentner D, Ashley EA, Wheeler MT, Ware JS, van Tintelen JP, Ingles J. Variant Location Is a Novel Risk Factor for Individuals With Arrhythmogenic Cardiomyopathy Due to a Desmoplakin ( DSP) Truncating Variant. Circ Genom Precis Med 2023; 16:e003672. [PMID: 36580316 PMCID: PMC9946166 DOI: 10.1161/circgen.121.003672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
BACKGROUND Truncating variants in desmoplakin (DSPtv) are an important cause of arrhythmogenic cardiomyopathy; however the genetic architecture and genotype-specific risk factors are incompletely understood. We evaluated phenotype, risk factors for ventricular arrhythmias, and underlying genetics of DSPtv cardiomyopathy. METHODS Individuals with DSPtv and any cardiac phenotype, and their gene-positive family members were included from multiple international centers. Clinical data and family history information were collected. Event-free survival from ventricular arrhythmia was assessed. Variant location was compared between cases and controls, and literature review of reported DSPtv performed. RESULTS There were 98 probands and 72 family members (mean age at diagnosis 43±8 years, 59% women) with a DSPtv, of which 146 were considered clinically affected. Ventricular arrhythmia (sudden cardiac arrest, sustained ventricular tachycardia, appropriate implantable cardioverter defibrillator therapy) occurred in 56 (33%) individuals. DSPtv location and proband status were independent risk factors for ventricular arrhythmia. Further, gene region was important with variants in cases (cohort n=98; Clinvar n=167) more likely to occur in the regions resulting in nonsense mediated decay of both major DSP isoforms, compared with n=124 genome aggregation database control variants (148 [83.6%] versus 29 [16.4%]; P<0.0001). CONCLUSIONS In the largest series of individuals with DSPtv, we demonstrate that variant location is a novel risk factor for ventricular arrhythmia, can inform variant interpretation, and provide critical insights to allow for precision-based clinical management.
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Affiliation(s)
- Edgar T Hoorntje
- Department of Genetics, University Medical Centre Groningen, University of Groningen (E.T.H., G.J.t.M., J.D.H.J.).,Netherlands Heart Institute, Utrecht, the Netherlands (E.T.H., L.P.B., L.L., J.P.v.T.)
| | - Charlotte Burns
- Agnes Ginges Centre for Molecular Cardiology at Centenary Institute (C.B., B.G., R.D.B., C.S.).,Faculty of Medicine and Health (C.B., B.G., R.D.B., J.D., C.S., L.Y., J.I.).,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia (C.B., B.G., C.S., L.Y., J.I.)
| | - Luisa Marsili
- Department of Clinical Genetics, Amsterdam University Medical Centre, location AMC, University of Amsterdam, the Netherlands (L.M., J.P.v.T.).,Clinique de Génétique, CHU Lille, Lille, France (L.M.)
| | - Ben Corden
- National Heart and Lung Institute and MRC London Institute of Medical Science, Imperial College London and Cardiovascular Research Centre, Royal Brompton and Harefield NHS Foundation Trust, London, UK (B.C., A.L., N.W., J.S.W.)
| | - Victoria N Parikh
- Stanford Centre for Inherited Cardiovascular Disease, Department of Medicine, Stanford University School of Medicine, CA (V.N.P., C.R., E.A.A., M.T.W.)
| | - Gerard J Te Meerman
- Department of Genetics, University Medical Centre Groningen, University of Groningen (E.T.H., G.J.t.M., J.D.H.J.)
| | - Belinda Gray
- Agnes Ginges Centre for Molecular Cardiology at Centenary Institute (C.B., B.G., R.D.B., C.S.).,Faculty of Medicine and Health (C.B., B.G., R.D.B., J.D., C.S., L.Y., J.I.).,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia (C.B., B.G., C.S., L.Y., J.I.)
| | - Ahmet Adiyaman
- Department of Cardiology, Isala Heart Center, Zwolle (A.A.)
| | - Richard D Bagnall
- Agnes Ginges Centre for Molecular Cardiology at Centenary Institute (C.B., B.G., R.D.B., C.S.).,Faculty of Medicine and Health (C.B., B.G., R.D.B., J.D., C.S., L.Y., J.I.)
| | | | - Maarten P van den Berg
- Department of Cardiology, University of Groningen, University Medical Centre Groningen (M.P.v.d.B., G.v.W.)
| | - Marianne Bootsma
- Department of Cardiology, University of Leiden, Leiden University Medical Centre (M.B.)
| | - Laurens P Bosman
- Netherlands Heart Institute, Utrecht, the Netherlands (E.T.H., L.P.B., L.L., J.P.v.T.).,Department of Cardiology, University of Utrecht (L.P.B.)
| | - Gemma Correnti
- Adult Genetics Unit, Royal Adelaide Hospital and Faculty of Health and Medical Sciences, University of Adelaide (G.C.)
| | - Johan Duflou
- Agnes Ginges Centre for Molecular Cardiology at Centenary Institute (C.B., B.G., R.D.B., C.S.)
| | | | - Diane Fatkin
- Victor Chang Cardiac Research Institute, Sydney (D.F.)
| | - Michael Fietz
- Department of Diagnostic Genomics, PathWest Laboratory, Medicine WA, Redlands, Australia (M.F.)
| | | | - Jan D H Jongbloed
- Department of Genetics, University Medical Centre Groningen, University of Groningen (E.T.H., G.J.t.M., J.D.H.J.)
| | - Arnaud D Hauer
- Department of Cardiology, Haga Teaching Hospital, the Hague (A.D.H.)
| | - Lien Lam
- Netherlands Heart Institute, Utrecht, the Netherlands (E.T.H., L.P.B., L.L., J.P.v.T.)
| | - Freyja H M van Lint
- Department of Genetics, University of Utrecht, University Medical Centre Utrecht, the Netherlands (F.H.M.v.L., J.P.v.T.)
| | - Amrit Lota
- National Heart and Lung Institute and MRC London Institute of Medical Science, Imperial College London and Cardiovascular Research Centre, Royal Brompton and Harefield NHS Foundation Trust, London, UK (B.C., A.L., N.W., J.S.W.)
| | - Carlo Marcelis
- Department of Clinical Genetics, Radboud University Medical Centre, Nijmegen, the Netherlands (C.M.)
| | - Hugh J McCarthy
- Department of Clinical Genetics, Children's Hospital Westmead, Sydney, Australia (H.J.M.)
| | - Anneke M van Mil
- Department of Clinical Genetics, Leiden University Medical Centre (D.Q.C.M.B.-S., A.M.v.M.)
| | - Rogier A Oldenburg
- Department of Clinical Genetics, Erasmus University Medical Centre, Rotterdam, the Netherlands (R.A.O.)
| | | | - R Nils Planken
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centre, Amsterdam, the Netherlands (R.N.P.)
| | - Chloe Reuter
- Stanford Centre for Inherited Cardiovascular Disease, Department of Medicine, Stanford University School of Medicine, CA (V.N.P., C.R., E.A.A., M.T.W.)
| | - Christopher Semsarian
- Agnes Ginges Centre for Molecular Cardiology at Centenary Institute (C.B., B.G., R.D.B., C.S.).,Faculty of Medicine and Health (C.B., B.G., R.D.B., J.D., C.S., L.Y., J.I.).,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia (C.B., B.G., C.S., L.Y., J.I.)
| | | | - Tina Thompson
- Department of Cardiology and Department of Genomic Medicine, Royal Melbourne Hospital (T.T., J.V., D.Z.)
| | - Jitendra Vohra
- Department of Cardiology and Department of Genomic Medicine, Royal Melbourne Hospital (T.T., J.V., D.Z.).,Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Australia (J.V., D.Z.)
| | - Paul G A Volders
- Department of Cardiology, Cardiovascular Research Institute Maastricht (CARIM) (P.G.A.V.)
| | | | - Nicola Whiffin
- National Heart and Lung Institute and MRC London Institute of Medical Science, Imperial College London and Cardiovascular Research Centre, Royal Brompton and Harefield NHS Foundation Trust, London, UK (B.C., A.L., N.W., J.S.W.)
| | - Arthur van den Wijngaard
- Department of Clinical Genetics, Laboratory Clinical Genetics, Maastricht University Medical Centre (A.v.d.W.)
| | - Ahmad S Amin
- Department of Clinical and Experimental Cardiology, Heart Centre, Amsterdam University Medical Centre, location AMC, the Netherlands (A.S.A., A.A.M.W.)
| | - Arthur A M Wilde
- Department of Clinical and Experimental Cardiology, Heart Centre, Amsterdam University Medical Centre, location AMC, the Netherlands (A.S.A., A.A.M.W.)
| | - Gijs van Woerden
- Department of Cardiology, University of Groningen, University Medical Centre Groningen (M.P.v.d.B., G.v.W.)
| | - Laura Yeates
- Faculty of Medicine and Health (C.B., B.G., R.D.B., J.D., C.S., L.Y., J.I.).,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia (C.B., B.G., C.S., L.Y., J.I.).,Cardio Genomics Program at Centenary Institute, The University of Sydney (L.Y., J.I.)
| | - Dominica Zentner
- Department of Cardiology and Department of Genomic Medicine, Royal Melbourne Hospital (T.T., J.V., D.Z.).,Faculty of Medicine, Dentistry and Health Sciences, The University of Melbourne, Australia (J.V., D.Z.)
| | - Euan A Ashley
- Stanford Centre for Inherited Cardiovascular Disease, Department of Medicine, Stanford University School of Medicine, CA (V.N.P., C.R., E.A.A., M.T.W.)
| | - Matthew T Wheeler
- Stanford Centre for Inherited Cardiovascular Disease, Department of Medicine, Stanford University School of Medicine, CA (V.N.P., C.R., E.A.A., M.T.W.)
| | - James S Ware
- National Heart and Lung Institute and MRC London Institute of Medical Science, Imperial College London and Cardiovascular Research Centre, Royal Brompton and Harefield NHS Foundation Trust, London, UK (B.C., A.L., N.W., J.S.W.)
| | - J Peter van Tintelen
- Netherlands Heart Institute, Utrecht, the Netherlands (E.T.H., L.P.B., L.L., J.P.v.T.).,Department of Clinical Genetics, Amsterdam University Medical Centre, location AMC, University of Amsterdam, the Netherlands (L.M., J.P.v.T.).,Department of Genetics, University of Utrecht, University Medical Centre Utrecht, the Netherlands (F.H.M.v.L., J.P.v.T.)
| | - Jodie Ingles
- Faculty of Medicine and Health (C.B., B.G., R.D.B., J.D., C.S., L.Y., J.I.).,Department of Cardiology, Royal Prince Alfred Hospital, Sydney, Australia (C.B., B.G., C.S., L.Y., J.I.).,Cardio Genomics Program at Centenary Institute, The University of Sydney (L.Y., J.I.).,Centre for Population Genomics, Garvan Institute of Medical Research and UNSW Sydney (J.I.).,Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Australia (J.I.)
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Tremblay-Gravel M, Ichimura K, Picard K, Kawano Y, Dries AM, Haddad F, Lakdawala NK, Wheeler MT, Parikh VN. Intrinsic Atrial Myopathy Precedes Left Ventricular Dysfunction and Predicts Atrial Fibrillation in Lamin A/C Cardiomyopathy. Circ Genom Precis Med 2023; 16:e003480. [PMID: 36548481 DOI: 10.1161/circgen.121.003480] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
BACKGROUND In Lamin A/C (LMNA) cardiomyopathy, atrial fibrillation (AF) commonly occurs before dilated cardiomyopathy, and the ability to predict its incidence is limited. We hypothesized that left atrial (LA) echocardiographic phenotyping can identify atrial myopathy and harbingers of AF. METHODS Echocardiograms from patients with pathogenic or likely pathogenic variants in LMNA (n=77) with and without reduced left ventricular ejection fraction (LVEF, <50%) were compared to healthy individuals (n=70) and patients with Titin truncating variant cardiomyopathy (TTNtv) (n=35) with similar LVEF, sex, and age distributions. Echocardiographic analysis, blinded to genotype, included strain and volumetric measures of left ventricular and atrial function. The primary outcome was incident AF. RESULTS At baseline, 43% of the patients with pathogenic or likely pathogenic LMNA variants had a history of AF, including 26% of those with LVEF ≥50%. Compared with healthy subjects, the patients with pathogenic or likely pathogenic LMNA variants and LVEF ≥50% had reduced LA contractile strain (LMNA, 11.8±6.1% versus control, 15.0±4.2%; P=0.003). Compared to LVEF-matched (TTNtv) patients, the patients with pathogenic or likely pathogenic LMNA variants and LVEF <50% displayed no difference in LA size, but a worse LA contractile dysfunction (6.4±4.7% versus 12.6±9.6%; P=0.02). Over a median follow-up of 2.8 (1.2-5.7) years, LA contractile strain was the only significant predictor of AF in multivariable Cox regression (hazard ratio, 4.0 [95% CI, 1.04-15.2]). CONCLUSIONS LMNA cardiomyopathy is associated with early intrinsic atrial myopathy reflected by high AF prevalence and reduced LA contractile strain, even in the absence of LV dysfunction and LA dilation. Whether LA strain can be used as a monitoring strategy to detect and mitigate AF complications requires validation.
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Affiliation(s)
- Maxime Tremblay-Gravel
- Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (M.T.-G., K.I., A.M.D., M.T.W., V.N.P.).,Montreal Heart Institute, Université de Montréal, Québec, Canada (M.T.-G.)
| | - Kenzo Ichimura
- Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (M.T.-G., K.I., A.M.D., M.T.W., V.N.P.).,Cardiovascular Institute, Stanford University School of Medicine, CA (K.I., F.H., V.N.P.)
| | - Kermshlise Picard
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (K.P., N.K.L.)
| | - Yumeko Kawano
- Division of Rheumatology, Inflammation, and Immunity, Brigham and Women's Hospital, Boston, MA (Y.K.)
| | - Annika M Dries
- Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (M.T.-G., K.I., A.M.D., M.T.W., V.N.P.)
| | - Francois Haddad
- Cardiovascular Institute, Stanford University School of Medicine, CA (K.I., F.H., V.N.P.)
| | - Neal K Lakdawala
- Division of Cardiovascular Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA (K.P., N.K.L.)
| | - Matthew T Wheeler
- Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (M.T.-G., K.I., A.M.D., M.T.W., V.N.P.)
| | - Victoria N Parikh
- Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, CA (M.T.-G., K.I., A.M.D., M.T.W., V.N.P.).,Cardiovascular Institute, Stanford University School of Medicine, CA (K.I., F.H., V.N.P.)
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33
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MacRae CA, Taylor MR, Mestroni L, Moses J, Ashley EA, Wheeler MT, Lakdawala NK, Hershberger RE, Sandor V, Saunders ME, Oliver C, Lee PA, Judge DP. Plain Language Summary of Publication of the safety and efficacy of ARRY-371797 in people with dilated cardiomyopathy and a faulty LMNA gene. Future Cardiol 2023; 19:55-63. [PMID: 36718638 DOI: 10.2217/fca-2022-0099] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
WHAT IS THIS PLAIN LANGUAGE SUMMARY ABOUT? This plain language summary describes the results of a study looking at the effects of a medicine called ARRY-371797 (also known as PF-07265803) in people with dilated cardiomyopathy (DCM for short) caused by a faulty LMNA gene. This condition is called LMNA-related DCM. DCM happens when the heart becomes bigger and weaker than normal, impacting functional capacity and leading to symptoms of heart failure. This means the heart is not able to pump blood around the body as easily, and people are unable to do as much in their daily lives (like getting dressed and going shopping). People may inherit a faulty LMNA gene from one of their parents, or a faulty LMNA gene may develop when mistakes happen during cell growth and replication. ARRY-371797 targets a specific mechanism in the body that can lead to heart problems in people with a faulty LMNA gene. As ARRY-371797 is not currently approved for use outside of clinical trials, it doesn't currently have an easily recognizable trade name. WHAT WERE THE RESULTS? 12 American people (average age 50 years) with LMNA-related DCM took part in the study and received 400 mg or 100 mg of ARRY-371797 twice daily for 48 weeks. People knew which dose of ARRY-371797 they were taking. People were checked after 4, 12, 24, 36 and 48 weeks of taking ARRY-371797 to see how far they could walk in the 6-minute walk test (6MWT for short). The level of NT-proBNP in their blood was also measured. NT-proBNP is a biomarker used to measure the severity of heart failure. A biomarker is something found in the body that can be measured to indicate the extent of a disease. -After taking ARRY-371797 for 12 weeks, people were able to walk further in the 6MWT and had lower levels of NT-proBNP in their blood. This suggests improvement in functional capacity (exercise tolerance) and heart function. Researchers also asked people about their quality of life using the Kansas City Cardiomyopathy Questionnaire (KCCQ for short), and looked for any side effects. -Researchers saw some improvement in KCCQ scores. -Researchers saw no major side effects that they considered to be related to ARRY-371797 treatment. A side effect is something that people feel was caused by a medicine or treatment. Overall, this study showed that people with LMNA-related DCM who took ARRY-371797 had improved functional capacity (exercise tolerance), improved heart function, and improved quality of life. Phase 2 study (NCT02057341) Phase 2 long-term extension study (NCT02351856) Phase 3 REALM-DCM study (NCT03439514).
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Affiliation(s)
- Calum A MacRae
- Brigham & Women's Hospital, Cardiovascular Medicine, Boston, MA, USA
| | - Matthew Rg Taylor
- University of Colorado, Department of Medicine, Adult Medical Genetics Program, Aurora, CO, USA
| | - Luisa Mestroni
- UnityPoint Health, Heart & Vascular Institute, Madison, WI, USA
| | - John Moses
- UnityPoint Health, Heart & Vascular Institute, Madison, WI, USA
| | - Euan A Ashley
- Stanford University, Center for Inherited Cardiovascular Disease, Stanford, CA, USA
| | - Matthew T Wheeler
- Stanford University, Center for Inherited Cardiovascular Disease, Stanford, CA, USA
| | - Neal K Lakdawala
- Brigham & Women's Hospital, Cardiovascular Medicine, Boston, MA, USA
| | - Ray E Hershberger
- The Ohio State University, Human Genetics & Cardiovascular Medicine, Columbus, OH, USA
| | | | | | | | | | - Daniel P Judge
- Medical University of South Carolina, Cardiovascular Genetics, Charleston, SC, USA
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Wojcik MH, Reuter CM, Marwaha S, Mahmoud M, Duyzend MH, Barseghyan H, Yuan B, Boone PM, Groopman EE, Délot EC, Jain D, Sanchis-Juan A, Starita LM, Talkowski M, Montgomery SB, Bamshad MJ, Chong JX, Wheeler MT, Berger SI, O’Donnell-Luria A, Sedlazeck FJ, Miller DE. Beyond the exome: what's next in diagnostic testing for Mendelian conditions. ArXiv 2023:arXiv:2301.07363v1. [PMID: 36713248 PMCID: PMC9882576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise molecular diagnosis. Clinical evaluation is increasingly undertaken by specialists outside of clinical genetics, often occurring in a tiered fashion and typically ending after ES. The current diagnostic rate reflects multiple factors, including technical limitations, incomplete understanding of variant pathogenicity, missing genotype-phenotype associations, complex gene-environment interactions, and reporting differences between clinical labs. Maintaining a clear understanding of the rapidly evolving landscape of diagnostic tests beyond ES, and their limitations, presents a challenge for non-genetics professionals. Newer tests, such as short-read genome or RNA sequencing, can be challenging to order and emerging technologies, such as optical genome mapping and long-read DNA or RNA sequencing, are not available clinically. Furthermore, there is no clear guidance on the next best steps after inconclusive evaluation. Here, we review why a clinical genetic evaluation may be negative, discuss questions to be asked in this setting, and provide a framework for further investigation, including the advantages and disadvantages of new approaches that are nascent in the clinical sphere. We present a guide for the next best steps after inconclusive molecular testing based upon phenotype and prior evaluation, including when to consider referral to a consortium such as GREGoR, which is focused on elucidating the underlying cause of rare unsolved genetic disorders.
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Affiliation(s)
- Monica H. Wojcik
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115 USA
- Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA
| | - Chloe M. Reuter
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Shruti Marwaha
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston TX 77030 USA
| | - Michael H. Duyzend
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115 USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Hayk Barseghyan
- Center for Genetics Medicine Research, Children’s National Research Institute, Children’s National Hospital, Washington, DC 20010 USA
- Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037 USA
| | - Bo Yuan
- Department of Molecular and Human Genetics and Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston TX 77030 USA
| | - Philip M. Boone
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115 USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Emily E. Groopman
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115 USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Emmanuèle C. Délot
- Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037 USA
- Center for Genetics Medicine Research, Children’s National Research and Innovation Campus, Washington, DC, USA
- Department of Pediatrics, George Washington University, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037 USA
| | - Deepti Jain
- Department of Biostatistics, School of Public Health, University of Washington, Seattle WA 98195 USA
| | - Alba Sanchis-Juan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
| | | | - Lea M. Starita
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195 USA
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195 USA
| | - Michael Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA
- Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114 USA
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School
- Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA
| | - Stephen B. Montgomery
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305 USA
- Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305 USA
- Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Michael J. Bamshad
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195 USA
- Department of Genome Sciences, University of Washington, Seattle, WA, 98195 USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195 USA
| | - Jessica X. Chong
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195 USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195 USA
| | - Matthew T. Wheeler
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305 USA
| | - Seth I. Berger
- Center for Genetics Medicine Research and Rare Disease Institute, Children’s National Hospital, Washington, DC 20010 USA
| | - Anne O’Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142 USA
- Division of Genetics and Genomics, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115 USA
- Center for Genomic Medicine, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA 02114 USA
| | - Fritz J. Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston TX 77030 USA
- Department of Computer Science, Rice University, 6100 Main Street, Houston, TX, 77005 USA
| | - Danny E. Miller
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195 USA
- Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195 USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195 USA
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Amar D, Gay NR, Jimenez-Morales D, Beltran PMJ, Ramaker ME, Raja AN, Zhao B, Sun Y, Marwaha S, Gaul D, Hershman SG, Xia A, Lanza I, Fernandez FM, Montgomery SB, Hevener AL, Ashley EA, Walsh MJ, Sparks LM, Burant CF, Rector RS, Thyfault J, Wheeler MT, Goodpaster BH, Coen PM, Schenk S, Bodine SC, Lindholm ME. The mitochondrial multi-omic response to exercise training across tissues. bioRxiv 2023:2023.01.13.523698. [PMID: 36711881 PMCID: PMC9882193 DOI: 10.1101/2023.01.13.523698] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Mitochondria are adaptable organelles with diverse cellular functions critical to whole-body metabolic homeostasis. While chronic endurance exercise training is known to alter mitochondrial activity, these adaptations have not yet been systematically characterized. Here, the Molecular Transducers of Physical Activity Consortium (MoTrPAC) mapped the longitudinal, multi-omic changes in mitochondrial analytes across 19 tissues in male and female rats endurance trained for 1, 2, 4 or 8 weeks. Training elicited substantial changes in the adrenal gland, brown adipose, colon, heart and skeletal muscle, while we detected mild responses in the brain, lung, small intestine and testes. The colon response was characterized by non-linear dynamics that resulted in upregulation of mitochondrial function that was more prominent in females. Brown adipose and adrenal tissues were characterized by substantial downregulation of mitochondrial pathways. Training induced a previously unrecognized robust upregulation of mitochondrial protein abundance and acetylation in the liver, and a concomitant shift in lipid metabolism. The striated muscles demonstrated a highly coordinated response to increase oxidative capacity, with the majority of changes occurring in protein abundance and post-translational modifications. We identified exercise upregulated networks that are downregulated in human type 2 diabetes and liver cirrhosis. In both cases HSD17B10, a central dehydrogenase in multiple metabolic pathways and mitochondrial tRNA maturation, was the main hub. In summary, we provide a multi-omic, cross-tissue atlas of the mitochondrial response to training and identify candidates for prevention of disease-associated mitochondrial dysfunction.
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Affiliation(s)
| | | | | | | | | | | | | | - Yifei Sun
- Icahn School of Medicine at Mount Sinai, New York City, NY
| | | | | | | | - Ashley Xia
- National Institutes of Health, Bethesda, MD
| | | | | | | | | | | | - Martin J Walsh
- Icahn School of Medicine at Mount Sinai, New York City, NY
| | - Lauren M Sparks
- AdventHealth Translational Research Institute for Metabolism and Diabetes, Orlando, FL
| | | | | | - John Thyfault
- University of Kansas Medical Center, Kansas City, KS
| | | | - Bret H. Goodpaster
- AdventHealth Translational Research Institute for Metabolism and Diabetes, Orlando, FL
| | - Paul M. Coen
- AdventHealth Translational Research Institute for Metabolism and Diabetes, Orlando, FL
| | - Simon Schenk
- University of California, San Diego, La Jolla, CA
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Miller IM, Yashar BM, Macnamara EF, Adams DR, Agrawal PB, Alvey J, Amendola L, Andrews A, Ashley EA, Azamian MS, Bacino CA, Bademci G, Baker E, Balasubramanyam A, Baldridge D, Bale J, Bamshad M, Barbouth D, Bayrak-Toydemir P, Beck A, Beggs AH, Behrens E, Bejerano G, Bellen HJ, Bennett J, Berg-Rood B, Bernstein JA, Berry GT, Bican A, Bivona S, Blue E, Bohnsack J, Bonnenmann C, Bonner D, Botto L, Boyd B, Briere LC, Brokamp E, Brown G, Burke EA, Burrage LC, Butte MJ, Byers P, Byrd WE, Carey J, Carrasquillo O, Chang TCP, Chanprasert S, Chao HT, Clark GD, Coakley TR, Cobban LA, Cogan JD, Coggins M, Cole FS, Colley HA, Cooper CM, Cope H, Craigen WJ, Crouse AB, Cunningham M, D’Souza P, Dai H, Dasari S, Davis J, Dayal JG, Dell’Angelica EC, Dipple K, Doherty D, Dorrani N, Doss AL, Douine ED, Draper DD, Duncan L, Earl D, Eckstein DJ, Emrick LT, Eng CM, Esteves C, Falk M, Fernandez L, Ferreira C, Fieg EL, Findley LC, Fisher PG, Fogel BL, Forghani I, Gahl WA, Glass I, Gochuico B, Godfrey RA, Golden-Grant K, Goldrich MP, Goldstein DB, Grajewski A, Groden CA, Gutierrez I, Hahn S, Hamid R, Hassey K, Hayes N, High F, Hing A, Hisama FM, Holm IA, Hom J, Horike-Pyne M, Huang Y, Huang A, Huryn L, Isasi R, Izumi K, Jamal F, Jarvik GP, Jarvik J, Jayadev S, Karaviti L, Kennedy J, Ketkar S, Kiley D, Kilich G, Kobren SN, Kohane IS, Kohler JN, Korrick S, Kozuira M, Krakow D, Krasnewich DM, Kravets E, Krier JB, Lalani SR, Lam B, Lam C, LaMoure GL, Lanpher BC, Lanza IR, Latham L, LeBlanc K, Lee BH, Lee H, Levitt R, Lewis RA, Lincoln SA, Liu P, Liu XZ, Longo N, Loo SK, Loscalzo J, Maas RL, MacDowall J, Macnamara EF, MacRae CA, Maduro VV, Mahoney R, Mak BC, Malicdan MCV, Mamounas LA, Manolio TA, Mao R, Maravilla K, Markello TC, Marom R, Marth G, Martin BA, Martin MG, Martfnez-Agosto JA, Marwaha S, McCauley J, McConkie-Rosell A, McCray AT, McGee E, Mefford H, Merritt JL, Might M, Mirzaa G, Morava E, Moretti PM, Moretti P, Mosbrook-Davis D, Mulvihill JJ, Nakano-Okuno M, Nath A, Nelson SF, Newman JH, Nicholas SK, Nickerson D, Nieves-Rodriguez S, Novacic D, Oglesbee D, Orengo JP, Pace L, Pak S, Pallais JC, Palmer CGS, Papp JC, Parker NH, Phillips JA, Posey JE, Potocki L, Power B, Pusey BN, Quinlan A, Raja AN, Rao DA, Raper A, Raskind W, Renteria G, Reuter CM, Rives L, Robertson AK, Rodan LH, Rosenfeld JA, Rosenwasser N, Rossignol F, Ruzhnikov M, Sacco R, Sampson JB, Saporta M, Schaechter J, Schedl T, Schoch K, Scott DA, Scott CR, Shashi V, Shin J, Signer RH, Silverman EK, Sinsheimer JS, Sisco K, Smith EC, Smith KS, Solem E, Solnica-Krezel L, Solomon B, Spillmann RC, Stoler JM, Sullivan K, Sullivan JA, Sun A, Sutton S, Sweetser DA, Sybert V, Tabor HK, Tan QKG, Tan ALM, Tekin M, Telischi F, Thorson W, Thurm A, Tifft CJ, Toro C, Tran AA, Tucker BM, Urv TK, Vanderver A, Velinder M, Viskochil D, Vogel TP, Wahl CE, Walker M, Wallace S, Walley NM, Walsh CA, Wambach J, Wan J, Wang LK, Wangler MF, Ward PA, Wegner D, Hubshman MW, Wener M, Wenger T, Perry KW, Westerfield M, Wheeler MT, Whitlock J, Wolfe LA, Woods JD, Worley K, Yamamoto S, Yang J, Yousef M, Zastrow DB, Zein W, Zhang Z, Zhao C, Zuchner S, Macnamara EF. Continuing a search for a diagnosis: the impact of adolescence and family dynamics. Orphanet J Rare Dis 2023; 18:6. [PMID: 36624503 PMCID: PMC9830697 DOI: 10.1186/s13023-022-02598-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2022] [Accepted: 12/14/2022] [Indexed: 01/11/2023] Open
Abstract
The "diagnostic odyssey" describes the process those with undiagnosed conditions undergo to identify a diagnosis. Throughout this process, families of children with undiagnosed conditions have multiple opportunities to decide whether to continue or stop their search for a diagnosis and accept the lack of a diagnostic label. Previous studies identified factors motivating a family to begin searching, but there is limited information about the decision-making process in a prolonged search and how the affected child impacts a family's decision. This study aimed to understand how families of children with undiagnosed diseases decide whether to continue to pursue a diagnosis after standard clinical testing has failed. Parents who applied to the Undiagnosed Disease Network (UDN) at the National Institutes of Health (NIH) were recruited to participate in semi-structured interviews. The 2015 Supportive Care Needs model by Pelenstov, which defines critical needs in families with rare/undiagnosed diseases, provided a framework for interview guide development and transcript analysis (Pelentsov et al in Disabil Health J 8(4):475-491, 2015. https://doi.org/10.1016/J.DHJO.2015.03.009 ). A deductive, iterative coding approach was used to identify common unifying themes. Fourteen parents from 13 families were interviewed. The average child's age was 11 years (range 3-18) and an average 63% of their life had been spent searching for a diagnosis. Our analysis found that alignment or misalignment of parent and child needs impact the trajectory of the diagnostic search. When needs and desires align, reevaluation of a decision to pursue a diagnosis is limited. However, when there is conflict between parent and child desires, there is reevaluation, and often a pause, in the search. This tension is exacerbated when children are adolescents and attempting to balance their dependence on parents for medical care with a natural desire for independence. Our results provide novel insights into the roles of adolescents in the diagnostic odyssey. The tension between desired and realistic developmental outcomes for parents and adolescents impacts if, and how, the search for a diagnosis progresses.
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Affiliation(s)
- Ilana M. Miller
- grid.239560.b0000 0004 0482 1586Children’s National Medical Center, Rare Disease Institute, 7125 13th Place NW, DC 20012 Washington, USA ,grid.214458.e0000000086837370Department of Human Genetics, University of Michigan, 4909 Buhl Building, Catherine St, Ann Arbor, MI 48109 USA
| | - Beverly M. Yashar
- grid.214458.e0000000086837370Department of Human Genetics, University of Michigan, 4909 Buhl Building, Catherine St, Ann Arbor, MI 48109 USA
| | | | - Ellen F. Macnamara
- grid.453125.40000 0004 0533 8641National Institutes of Health Undiagnosed Diseases Program, Common Fund, Office of the Director, NIH, Bethesda, MD USA
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MacRae CA, Taylor MR, Mestroni L, Moses J, Ashley EA, Wheeler MT, Lakdawala NK, Hershberger RE, Sandor V, Saunders ME, Oliver C, Lee PA, Judge DP. Efficacy and Safety of ARRY-371797 in LMNA-Related Dilated Cardiomyopathy: A Phase 2 Study. Circ Genom Precis Med 2022; 16:e003730. [PMID: 36515663 PMCID: PMC9946172 DOI: 10.1161/circgen.122.003730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
BACKGROUND Lamin A/C gene (LMNA)-related dilated cardiomyopathy is a serious and life-threatening condition with a high unmet medical need. This phase 2 study assessed the effects of the oral selective p38 mitogen-activated protein kinase inhibitor ARRY-371797 on functional capacity and cardiac function in patients with LMNA-related dilated cardiomyopathy. METHODS Patients with LMNA-related dilated cardiomyopathy in New York Heart Association class II-IIIA, on background heart failure treatment, received ARRY-371797 100 or 400 mg twice daily for 48 weeks. The primary end point was change from baseline in the 6-minute walk test distance at 12 weeks. Secondary end points included changes over time in 6-minute walk test distance, NT-proBNP (N-terminal pro-B-type natriuretic peptide) concentration, left ventricular ejection fraction, and quality-of-life scores on the Kansas City Cardiomyopathy Questionnaire. Data from the 2 dose groups were combined. RESULTS Twelve patients were enrolled; median (minimum, maximum) 6-minute walk test distance at baseline was 314 (246, 412) m. At week 12, the mean (80% CI) increase from baseline in 6-minute walk test distance was 69 (39, 100) m (median, 47 m). Median NT-proBNP concentration declined from 1409 pg/mL at baseline to 848 pg/mL at week 12. Mean left ventricular ejection fraction was stable at week 12. There was a trend toward improvement in Kansas City Cardiomyopathy Questionnaire Overall and Clinical Summary scores at week 12. No clinically significant drug-related safety concerns were identified. CONCLUSIONS ARRY-371797 was well tolerated and resulted in potential increases in functional capacity and lower concentrations of cardiac biomarker NT-proBNP in patients with LMNA-related dilated cardiomyopathy. REGISTRATION URL: https://clinicaltrials.gov; Unique identifier: NCT02057341.
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Affiliation(s)
- Calum A. MacRae
- Brigham and Women’s Hospital, Cardiovascular Medicine, Boston, MA (C.A.M., N.K.L.)
| | - Matthew R.G. Taylor
- Department of Medicine, Adult Medical Genetics Program, University of Colorado, Aurora (M.R.G.T., L.M.)
| | - Luisa Mestroni
- Department of Medicine, Adult Medical Genetics Program, University of Colorado, Aurora (M.R.G.T., L.M.)
| | - John Moses
- UnityPoint Health, Heart and Vascular Institute, Madison, WI (J.M.)
| | - Euan A. Ashley
- Center for Inherited Cardiovascular Disease, Stanford University, CA (E.A.A., M.T.W.)
| | - Matthew T. Wheeler
- Center for Inherited Cardiovascular Disease, Stanford University, CA (E.A.A., M.T.W.)
| | - Neal K. Lakdawala
- Brigham and Women’s Hospital, Cardiovascular Medicine, Boston, MA (C.A.M., N.K.L.)
| | - Ray E. Hershberger
- Human Genetics and Cardiovascular Medicine, The Ohio State University, Columbus (R.E.H.)
| | - Victor Sandor
- Pfizer Inc, Boulder, CO (V.S., M.E.S., C.O., P.A.L.)
| | | | | | | | - Daniel P. Judge
- Cardiovascular Genetics, Medical University of South Carolina, Charleston (D.P.J.)
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Zhang TT, Zhao SR, Alamana C, Shen M, Parikh V, Wheeler MT, Wu JC. Generation of two induced pluripotent stem cell lines from dilated cardiomyopathy patients carrying TTN mutations. Stem Cell Res 2022; 65:102941. [PMID: 36270069 PMCID: PMC9870071 DOI: 10.1016/j.scr.2022.102941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 10/12/2022] [Indexed: 11/19/2022] Open
Abstract
Dilated cardiomyopathy (DCM) is a common heart disease that can lead to heart failure and sudden cardiac death. Mutations in the TTN gene are the most frequent cause of DCM. Here, we generated two human induced pluripotent stem cell (iPSC) lines from the peripheral blood mononuclear cells (PBMCs) of two DCM patients carrying c.94816C>T and c.104188A>G mutations in TTN, respectively. The two lines exhibited a normal morphology, full expression of pluripotency markers, a normal karyotype and the ability of trilineage differentiation. The two lines can serve as useful tools for drug screening and mechanism studies on DCM.
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Affiliation(s)
- Tina Tianbo Zhang
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Shane Rui Zhao
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Christina Alamana
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Mengcheng Shen
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Victoria Parikh
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew T. Wheeler
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Joseph C. Wu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, USA,Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA,Corresponding author at: 265 Campus Drive, G1120B, Stanford, CA 94305, USA. (J.C. Wu)
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Harris CS, Froelicher VF, Hadley D, Wheeler MT. Guide to the Female Student Athlete ECG: A Comprehensive Study of 3466 Young, Racially Diverse Athletes. Am J Med 2022; 135:1478-1487.e4. [PMID: 35981651 DOI: 10.1016/j.amjmed.2022.07.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 07/16/2022] [Accepted: 07/18/2022] [Indexed: 11/01/2022]
Abstract
OBJECTIVES The 12-lead electrocardiogram (ECG) is used in the preparticipation screening examination for athletes. Despite known differences in ECG findings by sex, only QTc prolongation is given a sex-specific threshold. We hypothesize that our large dataset-with diversity in age, race, and sport participation-can be utilized to improve ECG screening in female student athletes. METHODS Computerized 12-lead ECGs were recorded and analyzed in female athletes who underwent preparticipation screening examination between June 2010 and September 2021. The quantitative, empirical 2017 international criteria for electrocardiographic interpretation were compared with either the 99th percentile in our cohort or the percentile that corresponded to the known disease prevalence. RESULTS Of 3466 female athletes with ECGs as part of preparticipation screening examination, the 2017 international criteria classified 2.1% of athletes with at least one ECG abnormality requiring cardiological evaluation. Rates were similar across age, race/ethnicity, and sporting discipline. Using ranges based on our population, 2.7% of athletes would require additional workup. Surprisingly, ST depression up to 0.03 mV was a normal finding in this cohort. If RS voltage extremes were considered findings requiring follow-up, an additional 9.6% of the athlete population would be flagged using current definitions. This number decreases to 2.7% if using the 99th percentile in this cohort. CONCLUSION These results highlight a difference in the reported prevalence of ECG abnormalities when comparing empirically derived thresholds to statistically derived ranges. Consideration of new metrics specific to the female athlete population has the potential to further refine athlete ECG screening.
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Groh WJ, Bhakta D, Tomaselli GF, Aleong RG, Teixeira RA, Amato A, Asirvatham SJ, Cha YM, Corrado D, Duboc D, Goldberger ZD, Horie M, Hornyak JE, Jefferies JL, Kääb S, Kalman JM, Kertesz NJ, Lakdawala NK, Lambiase PD, Lubitz SA, McMillan HJ, McNally EM, Milone M, Namboodiri N, Nazarian S, Patton KK, Russo V, Sacher F, Santangeli P, Shen WK, Sobral Filho DC, Stambler BS, Stöllberger C, Wahbi K, Wehrens XHT, Weiner MM, Wheeler MT, Zeppenfeld K. 2022 HRS expert consensus statement on evaluation and management of arrhythmic risk in neuromuscular disorders. Heart Rhythm 2022; 19:e61-e120. [PMID: 35500790 DOI: 10.1016/j.hrthm.2022.04.022] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 04/21/2022] [Indexed: 11/04/2022]
Abstract
This international multidisciplinary document is intended to guide electrophysiologists, cardiologists, other clinicians, and health care professionals in caring for patients with arrhythmic complications of neuromuscular disorders (NMDs). The document presents an overview of arrhythmias in NMDs followed by detailed sections on specific disorders: Duchenne muscular dystrophy, Becker muscular dystrophy, and limb-girdle muscular dystrophy type 2; myotonic dystrophy type 1 and type 2; Emery-Dreifuss muscular dystrophy and limb-girdle muscular dystrophy type 1B; facioscapulohumeral muscular dystrophy; and mitochondrial myopathies, including Friedreich ataxia and Kearns-Sayre syndrome, with an emphasis on managing arrhythmic cardiac manifestations. End-of-life management of arrhythmias in patients with NMDs is also covered. The document sections were drafted by the writing committee members according to their area of expertise. The recommendations represent the consensus opinion of the expert writing group, graded by class of recommendation and level of evidence utilizing defined criteria. The recommendations were made available for public comment; the document underwent review by the Heart Rhythm Society Scientific and Clinical Documents Committee and external review and endorsement by the partner and collaborating societies. Changes were incorporated based on these reviews. By using a breadth of accumulated available evidence, the document is designed to provide practical and actionable clinical information and recommendations for the diagnosis and management of arrhythmias and thus improve the care of patients with NMDs.
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Affiliation(s)
- William J Groh
- Ralph H. Johnson VA Medical Center and Medical University of South Carolina, Charleston, South Carolina
| | - Deepak Bhakta
- Indiana University School of Medicine, Indianapolis, Indiana
| | | | | | | | - Anthony Amato
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | | | | | - Domenico Corrado
- Department of Cardiac, Thoracic, and Vascular Sciences, University of Padova, Padova, Italy
| | - Denis Duboc
- Cardiology Department, Hôpital Cochin, AP-HP, Université de Paris, Paris, France
| | - Zachary D Goldberger
- University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin
| | - Minoru Horie
- Shiga University of Medical Sciences, Otsu, Japan
| | | | | | - Stefan Kääb
- Department of Medicine I, University Hospital, LMU Munich, Munich, Germany
| | - Jonathan M Kalman
- Royal Melbourne Hospital and University of Melbourne, Melbourne, Victoria, Australia
| | | | - Neal K Lakdawala
- Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Pier D Lambiase
- Barts Heart Centre, St Bartholomew's Hospital, University College London, and St Bartholomew's Hospital London, London, United Kingdom
| | | | - Hugh J McMillan
- Montreal Children's Hospital, McGill University, Montreal, Quebec, Canada
| | | | | | - Narayanan Namboodiri
- Sree Chitra Institute for Medical Sciences and Technology, Thiruvananthapuram, India
| | | | | | | | - Frederic Sacher
- Bordeaux University Hospital, LIRYC Institute, Bordeaux, France
| | | | | | | | | | - Claudia Stöllberger
- Second Medical Department with Cardiology and Intensive Care Medicine, Klinik Landstraße, Vienna, Austria
| | - Karim Wahbi
- Cardiology Department, Hôpital Cochin, AP-HP, Université de Paris, Paris, France
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41
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Parikh VN, Ioannidis AG, Jimenez-Morales D, Gorzynski JE, De Jong HN, Liu X, Roque J, Cepeda-Espinoza VP, Osoegawa K, Hughes C, Sutton SC, Youlton N, Joshi R, Amar D, Tanigawa Y, Russo D, Wong J, Lauzon JT, Edelson J, Mas Montserrat D, Kwon Y, Rubinacci S, Delaneau O, Cappello L, Kim J, Shoura MJ, Raja AN, Watson N, Hammond N, Spiteri E, Mallempati KC, Montero-Martín G, Christle J, Kim J, Kirillova A, Seo K, Huang Y, Zhao C, Moreno-Grau S, Hershman SG, Dalton KP, Zhen J, Kamm J, Bhatt KD, Isakova A, Morri M, Ranganath T, Blish CA, Rogers AJ, Nadeau K, Yang S, Blomkalns A, O’Hara R, Neff NF, DeBoever C, Szalma S, Wheeler MT, Gates CM, Farh K, Schroth GP, Febbo P, deSouza F, Cornejo OE, Fernandez-Vina M, Kistler A, Palacios JA, Pinsky BA, Bustamante CD, Rivas MA, Ashley EA. Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy. Nat Commun 2022; 13:5107. [PMID: 36042219 PMCID: PMC9426371 DOI: 10.1038/s41467-022-32397-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 07/28/2022] [Indexed: 02/05/2023] Open
Abstract
The SARS-CoV-2 pandemic has differentially impacted populations across race and ethnicity. A multi-omic approach represents a powerful tool to examine risk across multi-ancestry genomes. We leverage a pandemic tracking strategy in which we sequence viral and host genomes and transcriptomes from nasopharyngeal swabs of 1049 individuals (736 SARS-CoV-2 positive and 313 SARS-CoV-2 negative) and integrate them with digital phenotypes from electronic health records from a diverse catchment area in Northern California. Genome-wide association disaggregated by admixture mapping reveals novel COVID-19-severity-associated regions containing previously reported markers of neurologic, pulmonary and viral disease susceptibility. Phylodynamic tracking of consensus viral genomes reveals no association with disease severity or inferred ancestry. Summary data from multiomic investigation reveals metagenomic and HLA associations with severe COVID-19. The wealth of data available from residual nasopharyngeal swabs in combination with clinical data abstracted automatically at scale highlights a powerful strategy for pandemic tracking, and reveals distinct epidemiologic, genetic, and biological associations for those at the highest risk.
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Affiliation(s)
- Victoria N. Parikh
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Alexander G. Ioannidis
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA USA
| | - David Jimenez-Morales
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - John E. Gorzynski
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA
| | - Hannah N. De Jong
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA
| | - Xiran Liu
- grid.168010.e0000000419368956Institute for Computational and Mathematical Engineering, Stanford University, Stanford, CA USA
| | - Jonasel Roque
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | | | - Kazutoyo Osoegawa
- grid.490568.60000 0004 5997 482XHistocompatibility & Immunogenetics Laboratory, Stanford Blood Center, Stanford Health Care, Stanford, USA
| | - Chris Hughes
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA
| | - Shirley C. Sutton
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA
| | - Nathan Youlton
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA
| | - Ruchi Joshi
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - David Amar
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Yosuke Tanigawa
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Douglas Russo
- grid.168010.e0000000419368956Department of Statistics, Stanford University, Stanford, CA USA
| | - Justin Wong
- grid.168010.e0000000419368956Department of Statistics, Stanford University, Stanford, CA USA
| | - Jessie T. Lauzon
- grid.168010.e0000000419368956Department of Aeronautics and Astronautics, Stanford University, Stanford, CA USA
| | - Jacob Edelson
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Daniel Mas Montserrat
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Yongchan Kwon
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Simone Rubinacci
- grid.9851.50000 0001 2165 4204Department of Computational Biology and Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Olivier Delaneau
- grid.9851.50000 0001 2165 4204Department of Computational Biology and Swiss Institute of Bioinformatics, University of Lausanne, Lausanne, Switzerland
| | - Lorenzo Cappello
- grid.168010.e0000000419368956Department of Statistics, Stanford University, Stanford, CA USA
| | - Jaehee Kim
- grid.5386.8000000041936877XDepartment of Computational Biology, Cornell University, Ithaca, NY USA
| | - Massa J. Shoura
- grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Pathology, Stanford University School of Medicine, Stanford, CA USA
| | - Archana N. Raja
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Nathaniel Watson
- grid.168010.e0000000419368956Department of Pathology, Stanford University School of Medicine, Stanford, CA USA
| | - Nathan Hammond
- grid.168010.e0000000419368956Department of Pathology, Stanford University School of Medicine, Stanford, CA USA
| | - Elizabeth Spiteri
- grid.168010.e0000000419368956Department of Pathology, Stanford University School of Medicine, Stanford, CA USA
| | - Kalyan C. Mallempati
- grid.490568.60000 0004 5997 482XHistocompatibility & Immunogenetics Laboratory, Stanford Blood Center, Stanford Health Care, Stanford, USA
| | - Gonzalo Montero-Martín
- grid.490568.60000 0004 5997 482XHistocompatibility & Immunogenetics Laboratory, Stanford Blood Center, Stanford Health Care, Stanford, USA
| | - Jeffrey Christle
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Jennifer Kim
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Anna Kirillova
- grid.21925.3d0000 0004 1936 9000Medical Scientist Training Program, University of Pittsburgh and Carnegie Mellon University, Pittsburgh, PA USA
| | - Kinya Seo
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Yong Huang
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Chunli Zhao
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Sonia Moreno-Grau
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Steven G. Hershman
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Karen P. Dalton
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Jimmy Zhen
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Jack Kamm
- grid.499295.a0000 0004 9234 0175Chan Zuckerburg Biohub, San Francisco, CA USA
| | - Karan D. Bhatt
- grid.499295.a0000 0004 9234 0175Chan Zuckerburg Biohub, San Francisco, CA USA
| | - Alina Isakova
- grid.168010.e0000000419368956Department of Bioengineering, Stanford University, Stanford, CA USA
| | - Maurizio Morri
- grid.499295.a0000 0004 9234 0175Chan Zuckerburg Biohub, San Francisco, CA USA
| | - Thanmayi Ranganath
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Catherine A. Blish
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Angela J. Rogers
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Kari Nadeau
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Sean N. Parker Center for Allergy and Asthma Research, Stanford University School of Medicine, Stanford, CA USA
| | - Samuel Yang
- grid.168010.e0000000419368956Department of Emergency Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Andra Blomkalns
- grid.168010.e0000000419368956Department of Emergency Medicine, Stanford University School of Medicine, Stanford, CA USA
| | - Ruth O’Hara
- grid.168010.e0000000419368956Department of Psychiatry and Behavioral Sciences, Stanford University School of Medicine, Stanford, CA USA
| | - Norma F. Neff
- grid.499295.a0000 0004 9234 0175Chan Zuckerburg Biohub, San Francisco, CA USA
| | | | - Sándor Szalma
- Takeda Development Center, Americas, Inc, San Diego, CA USA
| | - Matthew T. Wheeler
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA
| | | | - Kyle Farh
- grid.185669.50000 0004 0507 3954Illumina, Inc, San Diego, CA USA
| | - Gary P. Schroth
- grid.185669.50000 0004 0507 3954Illumina, Inc, San Diego, CA USA
| | - Phil Febbo
- grid.185669.50000 0004 0507 3954Illumina, Inc, San Diego, CA USA
| | - Francis deSouza
- grid.185669.50000 0004 0507 3954Illumina, Inc, San Diego, CA USA
| | - Omar E. Cornejo
- grid.30064.310000 0001 2157 6568School of Biological Sciences, Washington State University, Pullman, WA USA
| | - Marcelo Fernandez-Vina
- grid.490568.60000 0004 5997 482XHistocompatibility & Immunogenetics Laboratory, Stanford Blood Center, Stanford Health Care, Stanford, USA ,grid.168010.e0000000419368956Department of Pathology, Stanford University School of Medicine, Stanford, CA USA
| | - Amy Kistler
- grid.499295.a0000 0004 9234 0175Chan Zuckerburg Biohub, San Francisco, CA USA
| | - Julia A. Palacios
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA ,grid.168010.e0000000419368956Department of Statistics, Stanford University, Stanford, CA USA
| | - Benjamin A. Pinsky
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Pathology, Stanford University School of Medicine, Stanford, CA USA
| | - Carlos D. Bustamante
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Manuel A. Rivas
- grid.168010.e0000000419368956Department of Biomedical Data Science, Stanford University, Stanford, CA USA
| | - Euan A. Ashley
- grid.168010.e0000000419368956Department of Medicine, Stanford University School of Medicine, Stanford, CA USA ,grid.168010.e0000000419368956Department of Genetics, Stanford University School of Medicine, Stanford, CA USA
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Young JL, Halley MC, Anguiano B, Fernandez L, Bernstein JA, Wheeler MT, Tabor HK. Beyond race: Recruitment of diverse participants in clinical genomics research for rare disease. Front Genet 2022; 13:949422. [PMID: 36072659 PMCID: PMC9441547 DOI: 10.3389/fgene.2022.949422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 07/11/2022] [Indexed: 11/13/2022] Open
Abstract
Purpose: Despite recent attention to increasing diversity in clinical genomics research, researchers still struggle to recruit participants from varied sociodemographic backgrounds. We examined the experiences of parents from diverse backgrounds with enrolling their children in clinical genomics research on rare diseases. We explored the barriers and facilitators parents encountered and possible impacts of sociodemographic factors on their access to research.Methods: We utilized semi-structured interviews with parents of children participating in the Undiagnosed Diseases Network. Interview data were analyzed using comparative content analysis.Results: We interviewed 13 Hispanic, 11 non-Hispanic White, four Asian, and two biracial parents. Participants discussed different pathways to clinical genomics research for rare disease as well as how sociodemographic factors shaped families’ access. Themes focused on variation in: 1) reliance on providers to access research; 2) cultural norms around health communication; 3) the role of social capital in streamlining access; and 4) the importance of language-concordant research engagement.Conclusion: Our findings suggest that variables beyond race/ethnicity may influence access in clinical genomics research. Future efforts to diversify research participation should consider utilizing varied recruitment strategies to reach participants with diverse sociodemographic characteristics.
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Affiliation(s)
- Jennifer L. Young
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA, United States
- Center for Genetic Medicine, Northwestern Feinberg School of Medicine, Chicago, IL, United States
- *Correspondence: Jennifer L. Young,
| | - Meghan C. Halley
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA, United States
| | - Beatriz Anguiano
- Human Genetics and Genetic Counseling, Stanford University School of Medicine, Stanford, CA, United States
| | - Liliana Fernandez
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA, United States
| | - Jonathan A. Bernstein
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, United States
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, United States
| | - Holly K. Tabor
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA, United States
- Department of Medicine, Stanford University, Stanford, CA, United States
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43
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De Jong HN, Dewey FE, Cordero P, Victorio RA, Kirillova A, Huang Y, Madhvani R, Seo K, Werdich AA, Lan F, Orcholski M, Liu WR, Erbilgin A, Wheeler MT, Chen R, Pan S, Kim YM, Bommakanti K, Marcou CA, Bos JM, Haddad F, Ackerman M, Vasan RS, MacRae C, Wu JC, de Jesus Perez V, Snyder M, Parikh VN, Ashley EA. Wnt Signaling Interactor WTIP (Wilms Tumor Interacting Protein) Underlies Novel Mechanism for Cardiac Hypertrophy. Circ Genom Precis Med 2022; 15:e003563. [PMID: 35671065 PMCID: PMC10445530 DOI: 10.1161/circgen.121.003563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Accepted: 04/15/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND The study of hypertrophic cardiomyopathy (HCM) can yield insight into the mechanisms underlying the complex trait of cardiac hypertrophy. To date, most genetic variants associated with HCM have been found in sarcomeric genes. Here, we describe a novel HCM-associated variant in the noncanonical Wnt signaling interactor WTIP (Wilms tumor interacting protein) and provide evidence of a role for WTIP in complex disease. METHODS In a family affected by HCM, we used exome sequencing and identity-by-descent analysis to identify a novel variant in WTIP (p.Y233F). We knocked down WTIP in isolated neonatal rat ventricular myocytes with lentivirally delivered short hairpin ribonucleic acids and in Danio rerio via morpholino injection. We performed weighted gene coexpression network analysis for WTIP in human cardiac tissue, as well as association analysis for WTIP variation and left ventricular hypertrophy. Finally, we generated induced pluripotent stem cell-derived cardiomyocytes from patient tissue, characterized size and calcium cycling, and determined the effect of verapamil treatment on calcium dynamics. RESULTS WTIP knockdown caused hypertrophy in neonatal rat ventricular myocytes and increased cardiac hypertrophy, peak calcium, and resting calcium in D rerio. Network analysis of human cardiac tissue indicated WTIP as a central coordinator of prohypertrophic networks, while common variation at the WTIP locus was associated with human left ventricular hypertrophy. Patient-derived WTIP p.Y233F-induced pluripotent stem cell-derived cardiomyocytes recapitulated cellular hypertrophy and increased resting calcium, which was ameliorated by verapamil. CONCLUSIONS We demonstrate that a novel genetic variant found in a family with HCM disrupts binding to a known Wnt signaling protein, misregulating cardiomyocyte calcium dynamics. Further, in orthogonal model systems, we show that expression of the gene WTIP is important in complex cardiac hypertrophy phenotypes. These findings, derived from the observation of a rare Mendelian disease variant, uncover a novel disease mechanism with implications across diverse forms of cardiac hypertrophy.
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Affiliation(s)
| | | | - Pablo Cordero
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Rachelle A. Victorio
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Anna Kirillova
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Yong Huang
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Roshni Madhvani
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Kinya Seo
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Andreas A. Werdich
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Feng Lan
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Mark Orcholski
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - W. Robert Liu
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Ayca Erbilgin
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Matthew T. Wheeler
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Rui Chen
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Stephen Pan
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Young M. Kim
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Krishna Bommakanti
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Cherisse A. Marcou
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - J. Martijn Bos
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Francois Haddad
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Michael Ackerman
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Ramachandran S. Vasan
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Calum MacRae
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Joseph C. Wu
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Vinicio de Jesus Perez
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
| | - Michael Snyder
- Department of Genetics (H.N.D., R.C., M.S., E.A.A.), Department of Medicine (F.E.D., A.K., Y.H., R.M., K.S., F.L., M.O., W.R.L., A.E., M.T.W., S.P., Y.M.K., K.B., F.H., J.C.W., V.d.J.P., V.N.P., E.A.A.), and Biomedical Informatics (P.C.), Stanford University, CA. Brigham and Women’s Hospital, Harvard University, Boston, MA (R.A.V., A.A.W., C.M.). Mayo Clinic, Rochester, MN (C.A.M., J.M.B., M.A.). Boston University School of Medicine, MA (R.S.V.)
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Kohler JN, Kelley EG, Boyd BM, Sillari CH, Marwaha S, Wheeler MT. Genetic counselor roles in the undiagnosed diseases network research study: Clinical care, collaboration, and curation. J Genet Couns 2022; 31:326-337. [PMID: 34374469 DOI: 10.1002/jgc4.1493] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 07/14/2021] [Accepted: 07/23/2021] [Indexed: 12/22/2022]
Abstract
Genetic counselors (GCs) are increasingly filling important positions on research study teams, but there is limited literature describing the roles of GCs in these settings. GCs on the Undiagnosed Diseases Network (UDN) study team serve in a variety of roles across the research network and provide an opportunity to better understand genetic counselor roles in research. To quantitatively characterize the tasks regularly performed and professional fulfillment derived from these tasks, two surveys were administered to UDN GCs in a stepwise fashion. Responses from the first, free-response survey elicited the scope of tasks which informed development of a second structured, multiple-select survey. In survey 2, respondents were asked to select which roles they performed. Across 19 respondents, roles in survey 2 received a total of 947 selections averaging approximately 10 selections per role. When asked to indicate what roles they performed, respondent selected a mean of 50 roles (range 22-70). Survey 2 data were analyzed via thematic coding of responses and hierarchical cluster analysis to identify patterns in responses. From the thematic analysis, 20 non-overlapping codes emerged in seven categories: clinical interaction and care, communication, curation, leadership, participant management, research, and team management. Three themes emerged from the categories that represented the roles of GCs in the UDN: clinical care, collaboration, and curation. Cluster analyses showed that responses were more similar among individuals at the same institution than between institutions. This study highlights the ways GCs apply their unique skill set in the context of a clinical translational research network. Additionally, findings from this study reinforce the wide applicability of core skills that are part of genetic counseling training. Clinical literacy, genomics expertise and analysis, interpersonal, psychosocial and counseling skills, education, professional practice skills, and an understanding of research processes make genetic counselors well suited for such roles and poised to positively impact research experiences and outcomes for participants.
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Affiliation(s)
- Jennefer N Kohler
- Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
- Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA
| | - Emily G Kelley
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Color Genomics, Burlingame, CA, USA
| | - Brenna M Boyd
- Department of Medical Genetics, University of Washington, Seattle, WA, USA
| | - Catherine H Sillari
- NIH Undiagnosed Diseases Program, Office of the Clinical Director, National Human Genome Research Institute, NIH, Bethesda, MD, USA
| | - Shruti Marwaha
- Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Matthew T Wheeler
- Center for Undiagnosed Diseases, Stanford University, Stanford, CA, USA
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA, USA
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45
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Sidhu K, Castrini AI, Parikh V, Reza N, Owens A, Tremblay-Gravel M, Wheeler MT, Mestroni L, Taylor M, Graw S, Gigli M, Merlo M, Paldino A, Sinagra G, Judge DP, Ramos H, Mesubi O, Brown E, Turnbull S, Kumar S, Roy D, Tedrow UB, Ngo L, Haugaa K, Lakdawala NK. The Response to Cardiac Resynchronization Therapy in LMNA cardiomyopathy. Eur J Heart Fail 2022; 24:685-693. [PMID: 35229420 PMCID: PMC9106891 DOI: 10.1002/ejhf.2463] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Revised: 02/15/2022] [Accepted: 02/21/2022] [Indexed: 11/12/2022] Open
Abstract
AIMS Cardiac implantable electronic device (CIED) therapy is fundamental to the management of LMNA-cardiomyopathy due to the high frequency of atrioventricular block and ventricular tachyarrhythmias. We aim to define the role of cardiac resynchronization therapy (CRT) in impacting heart failure in LMNA-cardiomyopathy. METHODS AND RESULTS From 9 referral centers, LMNA-cardiomyopathy patients who underwent CRT with available pre- and post- echocardiograms were identified retrospectively. Factors associated with CRT response were identified [defined as improvement in left ventricular ejection fraction (LVEF) ≥5% 6-months post-implant] and the associated impact on the primary outcome of death, implantation of a left ventricular assist device or cardiac transplantation was assessed. We identified 105 patients (51±10 years) undergoing CRT, including 70 (67%) who underwent CRT as a CIED upgrade. The mean change in LVEF ~6 months post CRT was +4±9%. A CRT response occurred in 40 (38%) patients and was associated with lower baseline LVEF or a high percentage of right ventricular pacing prior to CRT in patients with pre-existing CIED. In patients with an ESC Class I guideline indication for CRT, response rates were 61%. A CRT response was evident at thresholds of LVEF ≤45% or percent pacing ≥50%. There was a 1.3 year estimated median difference in event-free survival in those who responded to CRT (p=0.04). CONCLUSION Systolic function improves in patients with LMNA-cardiomyopathy who undergo CRT, especially with strong guideline indications for implantation. Post CRT improvements in LVEF are associated with survival benefits in this population with otherwise limited options.
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Affiliation(s)
- Kiran Sidhu
- Section of Cardiology, Max Rady College of Medicine, University of Manitoba, Winnipeg, Canada
| | | | | | - Nosheen Reza
- University of Pennsylvania Health System, Philadelphia, USA
| | - Anjali Owens
- University of Pennsylvania Health System, Philadelphia, USA
| | | | | | - Luisa Mestroni
- University of Colorado Anschutz Medical Campus, Denver, USA
| | - Matthew Taylor
- University of Colorado Anschutz Medical Campus, Denver, USA
| | - Sharon Graw
- University of Colorado Anschutz Medical Campus, Denver, USA
| | - Marta Gigli
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina and University of Trieste, Trieste, Italy
| | - Marco Merlo
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina and University of Trieste, Trieste, Italy
| | - Alessia Paldino
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina and University of Trieste, Trieste, Italy
| | - Gianfranco Sinagra
- Cardiovascular Department, Azienda Sanitaria Universitaria Giuliano Isontina and University of Trieste, Trieste, Italy
| | | | - Hannia Ramos
- Medical University of South Carolina, Charleston, USA
| | | | - Emily Brown
- Johns Hopkins University School of Medicine, Baltimore, USA
| | - Samual Turnbull
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, Australia
| | - Saurabh Kumar
- Department of Cardiology, Westmead Hospital, Westmead Applied Research Centre, University of Sydney, Sydney, Australia
| | - Darius Roy
- Brigham and Women's Hospital, Boston, USA
| | | | - Long Ngo
- Harvard T.H Chan School of Public Health, Boston, USA
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46
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Huggins GS, Kinnamon DD, Haas GJ, Jordan E, Hofmeyer M, Kransdorf E, Ewald GA, Morris AA, Owens A, Lowes B, Stoller D, Tang WHW, Garg S, Trachtenberg BH, Shah P, Pamboukian SV, Sweitzer NK, Wheeler MT, Wilcox JE, Katz S, Pan S, Jimenez J, Aaronson KD, Fishbein DP, Smart F, Wang J, Gottlieb SS, Judge DP, Moore CK, Mead JO, Ni H, Burke W, Hershberger RE. Prevalence and Cumulative Risk of Familial Idiopathic Dilated Cardiomyopathy. JAMA 2022; 327:454-463. [PMID: 35103767 PMCID: PMC8808323 DOI: 10.1001/jama.2021.24674] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 12/22/2021] [Indexed: 12/19/2022]
Abstract
Importance Idiopathic dilated cardiomyopathy (DCM) aggregates in families, and early detection in at-risk family members can provide opportunity to initiate treatment prior to late-phase disease. Most studies have included only White patients, yet Black patients with DCM have higher risk of heart failure-related hospitalization and death. Objective To estimate the prevalence of familial DCM among DCM probands and the age-specific cumulative risk of DCM in first-degree relatives across race and ethnicity groups. Design, Setting, and Participants A family-based, cross-sectional study conducted by a multisite consortium of 25 US heart failure programs. Participants included patients with DCM (probands), defined as left ventricular systolic dysfunction and left ventricular enlargement after excluding usual clinical causes, and their first-degree relatives. Enrollment commenced June 7, 2016; proband and family member enrollment concluded March 15, 2020, and April 1, 2021, respectively. Exposures The presence of DCM in a proband. Main Outcomes and Measures Familial DCM defined by DCM in at least 1 first-degree relative; expanded familial DCM defined by the presence of DCM or either left ventricular enlargement or left ventricular systolic dysfunction without known cause in at least 1 first-degree relative. Results The study enrolled 1220 probands (median age, 52.8 years [IQR, 42.4-61.8]; 43.8% female; 43.1% Black and 8.3% Hispanic) and screened 1693 first-degree relatives for DCM. A median of 28% (IQR, 0%-60%) of living first-degree relatives were screened per family. The crude prevalence of familial DCM among probands was 11.6% overall. The model-based estimate of the prevalence of familial DCM among probands at a typical US advanced heart failure program if all living first-degree relatives were screened was 29.7% (95% CI, 23.5% to 36.0%) overall. The estimated prevalence of familial DCM was higher in Black probands than in White probands (difference, 11.3% [95% CI, 1.9% to 20.8%]) but did not differ significantly between Hispanic probands and non-Hispanic probands (difference, -1.4% [95% CI, -15.9% to 13.1%]). The estimated prevalence of expanded familial DCM was 56.9% (95% CI, 50.8% to 63.0%) overall. Based on age-specific disease status at enrollment, estimated cumulative risks in first-degree relatives at a typical US advanced heart failure program reached 19% (95% CI, 13% to 24%) by age 80 years for DCM and 33% (95% CI, 27% to 40%) for expanded DCM inclusive of partial phenotypes. The DCM hazard was higher in first-degree relatives of non-Hispanic Black probands than non-Hispanic White probands (hazard ratio, 1.89 [95% CI, 1.26 to 2.83]). Conclusions and Relevance In a US cross-sectional study, there was substantial estimated prevalence of familial DCM among probands and modeled cumulative risk of DCM among their first-degree relatives. Trial Registration ClinicalTrials.gov Identifier: NCT03037632.
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Affiliation(s)
- Gordon S. Huggins
- Cardiology Division, Tufts Medical Center and Tufts University School of Medicine, Boston, Massachusetts
| | - Daniel D. Kinnamon
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Garrie J. Haas
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus
| | - Elizabeth Jordan
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Mark Hofmeyer
- Medstar Research Institute, Washington Hospital Center, Washington, DC
| | - Evan Kransdorf
- Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California
| | | | | | - Anjali Owens
- Center for Inherited Cardiovascular Disease, Division of Cardiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia
| | - Brian Lowes
- University of Nebraska Medical Center, Omaha
| | | | | | - Sonia Garg
- University of Texas Southwestern Medical Center, Dallas
| | - Barry H. Trachtenberg
- Houston Methodist DeBakey Heart and Vascular Center, J.C. Walter Jr. Transplant Center, Houston, Texas
| | - Palak Shah
- Inova Heart and Vascular Institute, Falls Church, Virginia
| | | | | | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California
| | - Jane E. Wilcox
- Northwestern University Feinberg School of Medicine, Chicago, Illinois
| | - Stuart Katz
- New York University Langone Medical Center, New York
| | - Stephen Pan
- Department of Cardiology, Westchester Medical Center and New York Medical College, Valhalla
| | - Javier Jimenez
- Miami Cardiac & Vascular Institute, Baptist Health South, Miami, Florida
| | | | | | - Frank Smart
- Louisiana State University Health Sciences Center, New Orleans
| | - Jessica Wang
- University of California Los Angeles Medical Center, Los Angeles
| | | | | | | | - Jonathan O. Mead
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Hanyu Ni
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus
| | - Wylie Burke
- Department of Bioethics and Humanities, University of Washington, Seattle
| | - Ray E. Hershberger
- Division of Human Genetics, Department of Internal Medicine, The Ohio State University, Columbus
- The Davis Heart and Lung Research Institute, The Ohio State University, Columbus
- Division of Cardiovascular Medicine, Department of Internal Medicine, The Ohio State University, Columbus
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47
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Abstract
In the past 5 years transcriptome or RNA-sequencing (RNA-seq) has steadily emerged as a complementary assay for rare disease diagnosis and discovery. In this perspective, we summarize several recent developments and challenges in the use of RNA-seq for rare disease investigation. Using an accessible patient sample, such as blood, skin, or muscle, RNA-seq enables the assay of expressed RNA transcripts. Analysis of RNA-seq allows the identification of aberrant or outlier gene expression and alternative splicing as functional evidence to support rare disease study and diagnosis. Further, many types of variant effects can be profiled beyond coding variants, as the consequences of noncoding variants that impact gene expression and splicing can be directly observed. This is particularly apparent for structural variants that disproportionately underlie outlier gene expression and for splicing variants in which RNA-seq can both measure aberrant canonical splicing and detect deep intronic effects. However, a major potential limitation of RNA-seq in rare disease investigation is the developmental and cell type specificity of gene expression as a pathogenic variant's effect may be limited to a specific spatiotemporal context and access to a patient's tissue sample from the relevant tissue and timing of disease expression may not be possible. We speculate that as advances in computational methods and emerging experimental techniques overcome both developmental and cell type specificity, there will be broadening use of RNA sequencing and multiomics in rare disease diagnosis and delivery of precision health.
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Affiliation(s)
- Stephen B Montgomery
- Departments of Genetics and Pathology, Stanford University, California 94305, USA
| | - Jonathan A Bernstein
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California 94305, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University, California 94304, USA
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48
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Halley MC, Young JL, Fernandez L, Kohler JN, Bernstein JA, Wheeler MT, Tabor HK. Perceived utility and disutility of genomic sequencing for pediatric patients: Perspectives from parents with diverse sociodemographic characteristics. Am J Med Genet A 2022; 188:1088-1101. [PMID: 34981646 DOI: 10.1002/ajmg.a.62619] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2021] [Revised: 11/04/2021] [Accepted: 12/05/2021] [Indexed: 12/30/2022]
Abstract
Given the limited therapeutic options for most rare diseases diagnosed through genomic sequencing (GS) and the proportion of patients who remain undiagnosed even after GS, it is important to characterize a broader range of benefits and potential harms of GS from the perspectives of families with diverse sociodemographic characteristics. We recruited parents of children enrolled in the Undiagnosed Diseases Network. Parents completed an in-depth interview, and we conducted a comparative content analysis of the data. Parents (n = 30) were demographically diverse, with 43.3% identifying as Hispanic, 33.3% primarily Spanish-speaking, and widely variable household income and education. Parents reported minimal changes in their child's health status following GS but did report a range of other forms of perceived utility, including improvements in their child's healthcare management and access, in their own psychological well-being, and in disease-specific social connections and research opportunities. Parents who received a diagnosis more frequently perceived utility across all domains; however, disutility also was reported by both those with and without a diagnosis. Impacts depended on multiple mediating factors, including parents' underlying expectations and beliefs, family sociodemographic characteristics, individual disease characteristics, and prior healthcare access. Our study suggests that the perceived utility of GS varies widely among parents and may depend on multiple individual, sociodemographic, and contextual factors that are relevant for pre- and post-GS counseling, for value assessment of GS, and for policymaking related to access to new genomic technologies.
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Affiliation(s)
- Meghan C Halley
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA
| | - Jennifer L Young
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA
| | - Liliana Fernandez
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, California, USA
| | - Jennefer N Kohler
- Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, California, USA
| | | | - Jonathan A Bernstein
- Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Matthew T Wheeler
- Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, California, USA
| | - Holly K Tabor
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, California, USA.,Department of Medicine (and by courtesy, Department of Epidemiology), Stanford University, Stanford, California, USA
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49
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Lindholm ME, Jimenez-Morales D, Zhu H, Seo K, Amar D, Zhao C, Raja A, Madhvani R, Abramowitz S, Espenel C, Sutton S, Caleshu C, Berry GJ, Motonaga KS, Dunn K, Platt J, Ashley EA, Wheeler MT. Mono- and Biallelic Protein-Truncating Variants in Alpha-Actinin 2 Cause Cardiomyopathy Through Distinct Mechanisms. Circ Genom Precis Med 2021; 14:e003419. [PMID: 34802252 PMCID: PMC8692448 DOI: 10.1161/circgen.121.003419] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
BACKGROUND ACTN2 (alpha-actinin 2) anchors actin within cardiac sarcomeres. The mechanisms linking ACTN2 mutations to myocardial disease phenotypes are unknown. Here, we characterize patients with novel ACTN2 mutations to reveal insights into the physiological function of ACTN2. METHODS Patients harboring ACTN2 protein-truncating variants were identified using a custom mutation pipeline. In patient-derived iPSC-cardiomyocytes, we investigated transcriptional profiles using RNA sequencing, contractile properties using video-based edge detection, and cellular hypertrophy using immunohistochemistry. Structural changes were analyzed through electron microscopy. For mechanistic studies, we used co-immunoprecipitation for ACTN2, followed by mass-spectrometry to investigate protein-protein interaction, and protein tagging followed by confocal microscopy to investigate introduction of truncated ACTN2 into the sarcomeres. RESULTS Patient-derived iPSC-cardiomyocytes were hypertrophic, displayed sarcomeric structural disarray, impaired contractility, and aberrant Ca2+-signaling. In heterozygous indel cells, the truncated protein incorporates into cardiac sarcomeres, leading to aberrant Z-disc ultrastructure. In homozygous stop-gain cells, affinity-purification mass-spectrometry reveals an intricate ACTN2 interactome with sarcomere and sarcolemma-associated proteins. Loss of the C-terminus of ACTN2 disrupts interaction with ACTN1 (alpha-actinin 1) and GJA1 (gap junction protein alpha 1), 2 sarcolemma-associated proteins, which may contribute to the clinical arrhythmic and relaxation defects. The causality of the stop-gain mutation was verified using CRISPR-Cas9 gene editing. CONCLUSIONS Together, these data advance our understanding of the role of ACTN2 in the human heart and establish recessive inheritance of ACTN2 truncation as causative of disease.
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Affiliation(s)
- Malene E. Lindholm
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - David Jimenez-Morales
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Han Zhu
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Kinya Seo
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - David Amar
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Chunli Zhao
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Archana Raja
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Roshni Madhvani
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Sarah Abramowitz
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Cedric Espenel
- Cell Sciences Imaging Facility, Stanford University School of Medicine, Stanford, USA
| | - Shirley Sutton
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Colleen Caleshu
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
- GeneMatters, San Francisco, CA
| | - Gerald J. Berry
- Department of Pathology, Stanford University School of Medicine, Stanford, USA
| | - Kara S. Motonaga
- Center for Inherited Cardiovascular Diseases, Stanford University School of Medicine, Stanford University, Stanford, USA
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, USA
| | - Kyla Dunn
- Center for Inherited Cardiovascular Diseases, Stanford University School of Medicine, Stanford University, Stanford, USA
- Division of Pediatric Cardiology, Department of Pediatrics, Stanford University School of Medicine, Stanford, USA
| | - Julia Platt
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
- Center for Inherited Cardiovascular Diseases, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Euan A. Ashley
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
- Center for Inherited Cardiovascular Diseases, Stanford University School of Medicine, Stanford University, Stanford, USA
| | - Matthew T. Wheeler
- Division of Cardiovascular Medicine, Department of Medicine, Stanford University School of Medicine, Stanford University, Stanford, USA
- Center for Inherited Cardiovascular Diseases, Stanford University School of Medicine, Stanford University, Stanford, USA
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50
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Deuitch N, Beckman E, Halley MC, Young JL, Reuter CM, Kohler J, Bernstein JA, Wheeler MT, Ormond KE, Tabor HK. "Doctors can read about it, they can know about it, but they've never lived with it": How parents use social media throughout the diagnostic odyssey. J Genet Couns 2021; 30:1707-1718. [PMID: 34096130 PMCID: PMC8777467 DOI: 10.1002/jgc4.1438] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 04/24/2021] [Accepted: 05/01/2021] [Indexed: 11/08/2022]
Abstract
Parents of children with undiagnosed conditions struggle to obtain information about how to treat and support their children. It can be particularly challenging to find communities and other parents who share their experiences and can provide emotional and informational support. This study sought to characterize how parents use social media, both throughout the diagnostic odyssey and post-diagnosis, to meet their informational, social, and emotional support needs. We conducted qualitative semi-structured interviews with 14 parents from the Stanford site of the Undiagnosed Diseases Network (UDN), including five whose children had received a diagnosis through study participation. Interview recordings were analyzed using inductive, team-based coding and thematic analysis based in grounded theory using Dedoose qualitative analysis software. Through this process, we identified four key themes related to social media use. First, parents struggled to find the "right" community, often seeking out groups of similar patients based on symptoms or similar conditions. Second, though they found much valuable information through social media about caring for their child, they also struggled to interpret the relevance of the information to their own child's condition. Third, the social support and access to other patients' and families' lived experiences were described as both highly valued and emotionally challenging, particularly in the case of poor outcomes for similar families. Finally, parents expressed the need to balance concerns about their child's privacy with the value of transparency and data sharing for diagnosis. Our results suggest that the needs and experiences of undiagnosed patients and families differ from those with diagnosed diseases and highlight the need for support in best utilizing social media resources at different stages of the diagnostic odyssey.
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Affiliation(s)
- Natalie Deuitch
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Erika Beckman
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Meghan C. Halley
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA
| | - Jennifer L. Young
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA
| | - Chloe M. Reuter
- Stanford Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
| | - Jennefer Kohler
- Stanford Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
| | - Jonathan A. Bernstein
- Stanford Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Pediatrics, Stanford, University School of Medicine, Stanford, CA
| | - Matthew T. Wheeler
- Department of Pediatrics, Stanford, University School of Medicine, Stanford, CA
- Division of Cardiovascular Medicine, Department of Medicine Stanford University School of Medicine, Stanford, CA
| | | | - Kelly E. Ormond
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
- These authors contributed equally to this work
| | - Holly K. Tabor
- Stanford Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA
- Stanford Center for Undiagnosed Diseases, Stanford University School of Medicine, Stanford, CA, USA
- Department of Medicine, Stanford University School of Medicine, Stanford, CA
- These authors contributed equally to this work
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