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Lee K, Kuang A, Bain JR, Hayes MG, Muehlbauer MJ, Ilkayeva OR, Newgard CB, Powe CE, Hivert MF, Scholtens DM, Lowe WL. Metabolomic and genetic architecture of gestational diabetes subtypes. Diabetologia 2024; 67:895-907. [PMID: 38367033 DOI: 10.1007/s00125-024-06110-x] [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: 08/14/2023] [Accepted: 01/12/2024] [Indexed: 02/19/2024]
Abstract
AIMS/HYPOTHESIS Physiological gestational diabetes mellitus (GDM) subtypes that may confer different risks for adverse pregnancy outcomes have been defined. The aim of this study was to characterise the metabolome and genetic architecture of GDM subtypes to address the hypothesis that they differ between GDM subtypes. METHODS This was a cross-sectional study of participants in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study who underwent an OGTT at approximately 28 weeks' gestation. GDM was defined retrospectively using International Association of Diabetes and Pregnancy Study Groups/WHO criteria, and classified as insulin-deficient GDM (insulin secretion <25th percentile with preserved insulin sensitivity) or insulin-resistant GDM (insulin sensitivity <25th percentile with preserved insulin secretion). Metabolomic analyses were performed on fasting and 1 h serum samples in 3463 individuals (576 with GDM). Genome-wide genotype data were obtained for 8067 individuals (1323 with GDM). RESULTS Regression analyses demonstrated striking differences between the metabolomes for insulin-deficient or insulin-resistant GDM compared to those with normal glucose tolerance. After adjustment for covariates, 33 fasting metabolites, including 22 medium- and long-chain acylcarnitines, were uniquely associated with insulin-deficient GDM; 23 metabolites, including the branched-chain amino acids and their metabolites, were uniquely associated with insulin-resistant GDM; two metabolites (glycerol and 2-hydroxybutyrate) were associated with the same direction of association with both subtypes. Subtype differences were also observed 1 h after a glucose load. In genome-wide association studies, variants within MTNR1B (rs10830963, p=3.43×10-18, OR 1.55) and GCKR (rs1260326, p=5.17×10-13, OR 1.43) were associated with GDM. Variants in GCKR (rs1260326, p=1.36×10-13, OR 1.60) and MTNR1B (rs10830963, p=1.22×10-9, OR 1.49) demonstrated genome-wide significant association with insulin-resistant GDM; there were no significant associations with insulin-deficient GDM. The lead SNP in GCKR, rs1260326, was associated with the levels of eight of the 25 fasting metabolites that were associated with insulin-resistant GDM and ten of 41 1 h metabolites that were associated with insulin-resistant GDM. CONCLUSIONS/INTERPRETATION This study demonstrates that physiological GDM subtypes differ in their metabolome and genetic architecture. These findings require replication in additional cohorts, but suggest that these differences may contribute to subtype-related adverse pregnancy outcomes.
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Affiliation(s)
- Kristen Lee
- Department of Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Alan Kuang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - James R Bain
- Duke Molecular Physiology Institute, Durham, NC, USA
- Department of Medicine, Duke University School of Medicine, Duke University, Durham, NC, USA
| | - M Geoffrey Hayes
- Department of Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | | | - Olga R Ilkayeva
- Duke Molecular Physiology Institute, Durham, NC, USA
- Department of Medicine, Duke University School of Medicine, Duke University, Durham, NC, USA
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, Durham, NC, USA
- Department of Medicine, Duke University School of Medicine, Duke University, Durham, NC, USA
| | - Camille E Powe
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Obstetrics and Gynecology, Massachusetts General Hospital, Boston, MA, USA
- Broad Institute of MIT and Harvard, Boston, MA, USA
| | - Marie-France Hivert
- Department of Medicine, Massachusetts General Hospital, Boston, MA, USA
- Department of Population Medicine, Harvard Pilgrim Health Care Institute, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Faculty of Medicine and Health Sciences, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalier Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - Denise M Scholtens
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
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2
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Selvaraj S, Patel S, Sauer AJ, McGarrah RW, Jones P, Kwee LC, Windsor SL, Ilkayeva O, Muehlbauer MJ, Newgard CB, Borlaug BA, Kitzman DW, Shah SJ, Shah SH, Kosiborod MN. Targeted Metabolomic Profiling of Dapagliflozin in Heart Failure With Preserved Ejection Fraction: The PRESERVED-HF Trial. JACC Heart Fail 2024:S2213-1779(24)00182-3. [PMID: 38639697 DOI: 10.1016/j.jchf.2024.02.018] [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] [Subscribe] [Scholar Register] [Received: 12/20/2023] [Revised: 02/12/2024] [Accepted: 02/14/2024] [Indexed: 04/20/2024]
Abstract
BACKGROUND Although sodium glucose co-transporter 2 inhibitors (SGLT2is) improve heart failure (HF)-related symptoms and outcomes in HF with preserved ejection fraction (HFpEF), underlying mechanisms remain unclear. In HF with reduced EF, dapagliflozin altered ketone and fatty acid metabolites vs placebo; however, metabolite signatures of SGLT2is have not been well elucidated in HFpEF. OBJECTIVES The goal of this study was to assess whether SGLT2i treatment altered systemic metabolic pathways and their relationship to outcomes in HFpEF. METHODS Targeted profiling of 64 metabolites was performed from 293 participants in PRESERVED-HF (Dapagliflozin in PRESERVED Ejection Fraction Heart Failure), a 12-week, placebo-controlled trial of dapagliflozin. Linear regression assessed changes in metabolite factors defined by principal components analysis (PCA) with dapagliflozin vs placebo. The relationship between changes in metabolite factors with changes in study endpoints was also assessed. RESULTS The mean age was 70 ± 11 years, 58% were female, and 29% were Black. There were no significant differences in 12 PCA-derived metabolite factors between treatment arms, including metabolites reflecting ketone, fatty acid, or branched-chain amino acid (BCAA) pathways. Combining treatment arms, changes in BCAAs and branched-chain ketoacids were negatively associated with changes in N-terminal pro-B-type natriuretic peptide; changes in medium-/long-chain acylcarnitines were positively associated with changes in N-terminal pro-B-type natriuretic peptide and negatively associated with changes in 6-minute walk test distance; and changes in ketones were negatively associated with changes in weight, without treatment interaction. CONCLUSIONS Leveraging targeted metabolomics in a placebo-controlled SGLT2i trial of HFpEF, dapagliflozin did not alter systemic metabolic as reflected by circulating metabolites, in contrast with reported effects in HF with reduced ejection fraction. Metabolite biomarkers reflecting BCAA, ketone, and fatty acid metabolism were associated with markers of disease severity, suggesting a role for potential novel treatment targets. (Dapagliflozin in PRESERVED Ejection Fraction Heart Failure [PRESERVED-HF]; NCT03030235).
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Affiliation(s)
- Senthil Selvaraj
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA; Duke Molecular Physiology Institute, Durham, North Carolina, USA
| | - Shachi Patel
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
| | - Andrew J Sauer
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA; University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Robert W McGarrah
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA; Duke Molecular Physiology Institute, Durham, North Carolina, USA
| | - Philip Jones
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
| | | | - Sheryl L Windsor
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, North Carolina, USA; Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | | | | | - Barry A Borlaug
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA
| | - Dalane W Kitzman
- Department of Internal Medicine, Sections on Cardiovascular Medicine and Geriatrics, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Sanjiv J Shah
- Division of Cardiology, Department of Medicine and Bluhm Cardiovascular Institute, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA
| | - Svati H Shah
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA; Duke Molecular Physiology Institute, Durham, North Carolina, USA
| | - Mikhail N Kosiborod
- Saint Luke's Mid America Heart Institute, Kansas City, Missouri, USA; University of Missouri-Kansas City, Kansas City, Missouri, USA.
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Chang HW, Lee EM, Wang Y, Zhou C, Pruss KM, Henrissat S, Chen RY, Kao C, Hibberd MC, Lynn HM, Webber DM, Crane M, Cheng J, Rodionov DA, Arzamasov AA, Castillo JJ, Couture G, Chen Y, Balcazo NP, Lebrilla CB, Terrapon N, Henrissat B, Ilkayeva O, Muehlbauer MJ, Newgard CB, Mostafa I, Das S, Mahfuz M, Osterman AL, Barratt MJ, Ahmed T, Gordon JI. Prevotella copri and microbiota members mediate the beneficial effects of a therapeutic food for malnutrition. Nat Microbiol 2024; 9:922-937. [PMID: 38503977 PMCID: PMC10994852 DOI: 10.1038/s41564-024-01628-7] [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] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 01/31/2024] [Indexed: 03/21/2024]
Abstract
Microbiota-directed complementary food (MDCF) formulations have been designed to repair the gut communities of malnourished children. A randomized controlled trial demonstrated that one formulation, MDCF-2, improved weight gain in malnourished Bangladeshi children compared to a more calorically dense standard nutritional intervention. Metagenome-assembled genomes from study participants revealed a correlation between ponderal growth and expression of MDCF-2 glycan utilization pathways by Prevotella copri strains. To test this correlation, here we use gnotobiotic mice colonized with defined consortia of age- and ponderal growth-associated gut bacterial strains, with or without P. copri isolates closely matching the metagenome-assembled genomes. Combining gut metagenomics and metatranscriptomics with host single-nucleus RNA sequencing and gut metabolomic analyses, we identify a key role of P. copri in metabolizing MDCF-2 glycans and uncover its interactions with other microbes including Bifidobacterium infantis. P. copri-containing consortia mediated weight gain and modulated energy metabolism within intestinal epithelial cells. Our results reveal structure-function relationships between MDCF-2 and members of the gut microbiota of malnourished children with potential implications for future therapies.
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Affiliation(s)
- Hao-Wei Chang
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Evan M Lee
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Yi Wang
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Cyrus Zhou
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Kali M Pruss
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Suzanne Henrissat
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille University, Marseille, France
| | - Robert Y Chen
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Clara Kao
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew C Hibberd
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Hannah M Lynn
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Daniel M Webber
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Marie Crane
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Jiye Cheng
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
| | - Dmitry A Rodionov
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Aleksandr A Arzamasov
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Juan J Castillo
- Department of Chemistry, University of California, Davis, CA, USA
| | - Garret Couture
- Department of Chemistry, University of California, Davis, CA, USA
| | - Ye Chen
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Chemistry, University of California, Davis, CA, USA
| | - Nikita P Balcazo
- Department of Chemistry, University of California, Davis, CA, USA
| | | | - Nicolas Terrapon
- Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille University, Marseille, France
| | - Bernard Henrissat
- Department of Biotechnology and Biomedicine (DTU Bioengineering), Technical University of Denmark, Lyngby, Denmark
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Olga Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
- Department of Medicine, Duke University Medical Center, Durham, NC, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC, USA
| | - Ishita Mostafa
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Subhasish Das
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Mustafa Mahfuz
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Andrei L Osterman
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA, USA
| | - Michael J Barratt
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA
| | - Tahmeed Ahmed
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
| | - Jeffrey I Gordon
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA.
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO, USA.
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO, USA.
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Osazuwa-Peters OL, Deveaux A, Muehlbauer MJ, Ilkayeva O, Bain JR, Keku T, Berchuck A, Huang B, Ward K, Gates Kuliszewski M, Akinyemiju T. Racial Differences in Vaginal Fluid Metabolites and Association with Systemic Inflammation Markers among Ovarian Cancer Patients: A Pilot Study. Cancers (Basel) 2024; 16:1259. [PMID: 38610937 PMCID: PMC11011195 DOI: 10.3390/cancers16071259] [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: 02/16/2024] [Revised: 03/11/2024] [Accepted: 03/20/2024] [Indexed: 04/14/2024] Open
Abstract
The vaginal microbiome differs by race and contributes to inflammation by directly producing or consuming metabolites or by indirectly inducing host immune response, but its potential contributions to ovarian cancer (OC) disparities remain unclear. In this exploratory cross-sectional study, we examine whether vaginal fluid metabolites differ by race among patients with OC, if they are associated with systemic inflammation, and if such associations differ by race. Study participants were recruited from the Ovarian Cancer Epidemiology, Healthcare Access, and Disparities Study between March 2021 and September 2022. Our study included 36 study participants with ovarian cancer who provided biospecimens; 20 randomly selected White patients and all 16 eligible Black patients, aged 50-70 years. Acylcarnitines (n = 45 species), sphingomyelins (n = 34), and ceramides (n = 21) were assayed on cervicovaginal fluid, while four cytokines (IL-1β, IL-10, TNF-α, and IL-6) were assayed on saliva. Seven metabolites showed >2-fold differences, two showed significant differences using the Wilcoxon rank-sum test (p < 0.05; False Discovery Rate > 0.05), and 30 metabolites had coefficients > ±0.1 in a Penalized Discriminant Analysis that achieved two distinct clusters by race. Arachidonoylcarnitine, the carnitine adduct of arachidonic acid, appeared to be consistently different by race. Thirty-eight vaginal fluid metabolites were significantly correlated with systemic inflammation biomarkers, irrespective of race. These findings suggest that vaginal fluid metabolites may differ by race, are linked with systemic inflammation, and hint at a potential role for mitochondrial dysfunction and sphingolipid metabolism in OC disparities. Larger studies are needed to verify these findings and further establish specific biological mechanisms that may link the vaginal microbiome with OC racial disparities.
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Affiliation(s)
- Oyomoare L. Osazuwa-Peters
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27701, USA; (A.D.); (T.A.)
| | - April Deveaux
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27701, USA; (A.D.); (T.A.)
| | - Michael J. Muehlbauer
- Duke University School of Medicine, Duke Molecular Physiology Institute, Durham, NC 27701, USA; (M.J.M.); (O.I.); (J.R.B.)
| | - Olga Ilkayeva
- Duke University School of Medicine, Duke Molecular Physiology Institute, Durham, NC 27701, USA; (M.J.M.); (O.I.); (J.R.B.)
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - James R. Bain
- Duke University School of Medicine, Duke Molecular Physiology Institute, Durham, NC 27701, USA; (M.J.M.); (O.I.); (J.R.B.)
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, NC 27710, USA
| | - Temitope Keku
- Division of Gastroenterology and Hepatology, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA;
| | - Andrew Berchuck
- Duke Division of Gynecologic Oncology, Duke University School of Medicine, Durham, NC 27710, USA;
| | - Bin Huang
- Kentucky Cancer Registry, University of Kentucky, Lexington, KY 40506, USA;
| | - Kevin Ward
- Georgia Cancer Registry, Emory University, Atlanta, GA 30322, USA;
| | | | - Tomi Akinyemiju
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC 27701, USA; (A.D.); (T.A.)
- Duke Cancer Institute, Duke University School of Medicine, Durham, NC 27710, USA
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5
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Hernandez N, Lokhnygina Y, Ramaker ME, Ilkayeva O, Muehlbauer MJ, Crawford ML, Grant RP, Hsia DS, Jain N, Bain JR, Armstrong S, Newgard CB, Freemark M, Gumus Balikcioglu P. Sex Differences in Branched-chain Amino Acid and Tryptophan Metabolism and Pathogenesis of Youth-onset Type 2 Diabetes. J Clin Endocrinol Metab 2024; 109:e1345-e1358. [PMID: 38066593 PMCID: PMC10940256 DOI: 10.1210/clinem/dgad708] [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: 04/02/2023] [Indexed: 03/16/2024]
Abstract
OBJECTIVES Insulin resistance is associated with elevations in plasma branched-chain amino acids (BCAAs). BCAAs compete with aromatic amino acids including tryptophan for uptake into β cells. To explore relationships between BCAAs and tryptophan metabolism, adiposity, and glucose tolerance, we compared urine metabolites in overweight/obese youth with type 2 diabetes (T2D) with those in nondiabetic overweight/obese and lean youth. METHODS Metabolites were measured in 24-hour and first-morning urine samples of 56 nondiabetic adolescents with overweight/obesity, 42 adolescents with T2D, and 43 lean controls, aged 12 to 21 years. Group differences were assessed by Kruskal Wallis or ANOVA. RESULTS Groups were comparable for age, pubertal status, and ethnicity. Youth with T2D were predominantly female and had highest percent body fat. BCAAs, branched-chain ketoacids (BCKAs), tryptophan, and kynurenine were higher in urine of subjects with T2D. There were no differences between lean controls and nondiabetic youth with overweight/obesity. T2D was associated with diversion of tryptophan from the serotonin to the kynurenine pathway, with higher urinary kynurenine/serotonin ratio and lower serotonin/tryptophan and 5-HIAA/kynurenine ratios. Urinary BCAAs, BCKAs, tryptophan, and ratios reflecting diversion to the kynurenine pathway correlated positively with metrics of body fat and hemoglobin A1c. Increases in these metabolites in the obese T2D group were more pronounced and statistically significant only in adolescent girls. CONCLUSION Increases in urinary BCAAs and BCKAs in adolescent females with T2D are accompanied by diversion of tryptophan metabolism from the serotonin to the kynurenine pathway. These adaptations associate with higher risks of T2D in obese adolescent females than adolescent males.
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Affiliation(s)
- Natalie Hernandez
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC 27710, USA
| | - Yuliya Lokhnygina
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC 27701, USA
| | - Megan Elizabeth Ramaker
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
- Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
| | - Matthew L Crawford
- Department of Research and Development, LabCorp, Burlington, NC 27215, USA
| | - Russell P Grant
- Department of Research and Development, LabCorp, Burlington, NC 27215, USA
| | - Daniel S Hsia
- Clinical Trials Unit, Pennington Biomedical Research Center, Baton Rouge, LA 70808, USA
| | - Nina Jain
- Division of Endocrinology, Department of Pediatrics, University of North Carolina, Chapel Hill, NC 27514, USA
| | - James R Bain
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
- Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
| | - Sarah Armstrong
- Duke Clinical Research Institute, Duke University Medical Center, Durham, NC 27701, USA
- Division of General Pediatrics and Adolescent Health, Duke University Medical Center, Durham, NC 27710, USA
- Department of Family Medicine and Community Health, Duke University Medical Center, Durham, NC 27710, USA
- Department of Population Health Sciences, Duke University Medical Center, Durham, NC 27710, USA
| | - Christopher B Newgard
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
- Division of Endocrinology, Metabolism, and Nutrition, Duke University Medical Center, Durham, NC 27710, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710, USA
| | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC 27710, USA
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
| | - Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham, NC 27710, USA
- Duke Molecular Physiology Institute (DMPI), Duke University Medical Center, Durham, NC 27701, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27705, USA
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6
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Thaker VV, Kwee LC, Chen H, Bahnson J, Ilkayeva O, Muehlbauer MJ, Wolfe B, Purnell JQ, Pi-Sunyer X, Newgard CB, Shah SH, Laferrère B. Metabolite signature of diabetes remission in individuals with obesity undergoing weight loss interventions. Obesity (Silver Spring) 2024; 32:304-314. [PMID: 37962326 DOI: 10.1002/oby.23943] [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: 06/06/2023] [Revised: 08/25/2023] [Accepted: 09/19/2023] [Indexed: 11/15/2023]
Abstract
OBJECTIVE This observational study investigated metabolomic changes in individuals with type 2 diabetes (T2D) after weight loss. We hypothesized that metabolite changes associated with T2D-relevant phenotypes are signatures of improved health. METHODS Fasting plasma samples from individuals undergoing bariatric surgery (n = 71 Roux-en-Y gastric bypass [RYGB], n = 22 gastric banding), lifestyle intervention (n = 66), or usual care (n = 14) were profiled for 139 metabolites before and 2 years after weight loss. Principal component analysis grouped correlated metabolites into factors. Association of preintervention metabolites was tested with preintervention clinical features and changes in T2D markers. Association between change in metabolites/metabolite factors and change in T2D remission markers, homeostasis model assessment of β-cell function, homeostasis model assessment of insulin resistance, and glycated hemoglobin (HbA1c) was assessed. RESULTS Branched-chain amino acids (BCAAs) were associated with preintervention adiposity. Changes in BCAAs (valine, leucine/isoleucine) and branched-chain ketoacids were positively associated with change in HbA1c (false discovery rate q value ≤ 0.001) that persisted after adjustment for percentage weight change and RYGB (p ≤ 0.02). In analyses stratified by RYGB or other weight loss method, some metabolites showed association with non-RYGB weight loss. CONCLUSIONS This study confirmed known metabolite associations with obesity/T2D and showed an association of BCAAs with HbA1c change after weight loss, independent of the method or magnitude of weight loss.
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Affiliation(s)
- Vidhu V Thaker
- Department of Pediatrics, Columbia University Irving Medical Center, New York, New York, USA
| | | | - Haiying Chen
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Judy Bahnson
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Durham, North Carolina, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Durham, North Carolina, USA
| | - Bruce Wolfe
- Departments of Surgery and Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Jonathan Q Purnell
- Departments of Surgery and Medicine, Oregon Health & Science University, Portland, Oregon, USA
| | - Xavier Pi-Sunyer
- New York Obesity Research Center, Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Sarah W. Stedman Nutrition and Metabolism Center, Durham, North Carolina, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Pharmacology & Cancer Biology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Svati H Shah
- Duke Molecular Physiology Institute, Durham, North Carolina, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Blandine Laferrère
- New York Obesity Research Center, Division of Endocrinology, Department of Medicine, Columbia University Irving Medical Center, New York, New York, USA
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7
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Summer R, Todd JL, Neely ML, Lobo LJ, Namen A, Newby LK, Shafazand S, Suliman S, Hesslinger C, Keller S, Leonard TB, Palmer SM, Ilkayeva O, Muehlbauer MJ, Newgard CB, Roman J. Circulating metabolic profile in idiopathic pulmonary fibrosis: data from the IPF-PRO Registry. Respir Res 2024; 25:58. [PMID: 38273290 PMCID: PMC10809477 DOI: 10.1186/s12931-023-02644-7] [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: 06/13/2023] [Accepted: 12/19/2023] [Indexed: 01/27/2024] Open
Abstract
BACKGROUND The circulating metabolome, reflecting underlying cellular processes and disease biology, has not been fully characterized in patients with idiopathic pulmonary fibrosis (IPF). We evaluated whether circulating levels of metabolites correlate with the presence of IPF, with the severity of IPF, or with the risk of clinically relevant outcomes among patients with IPF. METHODS We analyzed enrollment plasma samples from 300 patients with IPF in the IPF-PRO Registry and 100 individuals without known lung disease using a set of targeted metabolomics and clinical analyte modules. Linear regression was used to compare metabolite and clinical analyte levels between patients with IPF and controls and to determine associations between metabolite levels and measures of disease severity in patients with IPF. Unadjusted and adjusted univariable Cox regression models were used to evaluate associations between circulating metabolites and the risk of mortality or disease progression among patients with IPF. RESULTS Levels of 64 metabolites and 5 clinical analytes were significantly different between patients with IPF and controls. Among analytes with greatest differences were non-esterified fatty acids, multiple long-chain acylcarnitines, and select ceramides, levels of which were higher among patients with IPF versus controls. Levels of the branched-chain amino acids valine and leucine/isoleucine were inversely correlated with measures of disease severity. After adjusting for clinical factors known to influence outcomes, higher levels of the acylcarnitine C:16-OH/C:14-DC were associated with all-cause mortality, lower levels of the acylcarnitine C16:1-OH/C14:1DC were associated with all-cause mortality, respiratory death, and respiratory death or lung transplant, and higher levels of the sphingomyelin d43:2 were associated with the risk of respiratory death or lung transplantation. CONCLUSIONS IPF has a distinct circulating metabolic profile characterized by increased levels of non-esterified fatty acids, long-chain acylcarnitines, and ceramides, which may suggest a more catabolic environment that enhances lipid mobilization and metabolism. We identified select metabolites that were highly correlated with measures of disease severity or the risk of disease progression and that may be developed further as biomarkers. TRIAL REGISTRATION ClinicalTrials.gov; No: NCT01915511; URL: www. CLINICALTRIALS gov .
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Affiliation(s)
- Ross Summer
- Thomas Jefferson University, Philadelphia, PA, USA.
| | - Jamie L Todd
- Duke Clinical Research Institute, Durham, NC, USA
- Duke University Medical Center, Durham, NC, USA
| | - Megan L Neely
- Duke Clinical Research Institute, Durham, NC, USA
- Duke University Medical Center, Durham, NC, USA
| | - L Jason Lobo
- University of North Carolina School of Medicine, Chapel Hill, NC, USA
| | - Andrew Namen
- Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - L Kristin Newby
- Duke Clinical Research Institute, Durham, NC, USA
- Duke University Medical Center, Durham, NC, USA
| | | | | | | | - Sascha Keller
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany
| | | | - Scott M Palmer
- Duke Clinical Research Institute, Durham, NC, USA
- Duke University Medical Center, Durham, NC, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, NC, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, NC, USA
| | | | | | - Jesse Roman
- Jane and Leonard Korman Institute, Thomas Jefferson University, Philadelphia, PA, USA
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8
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Datta S, Antonio BM, Zahler NH, Theile JW, Krafte D, Zhang H, Rosenberg PB, Chaves AB, Muoio DM, Zhang G, Silas D, Li G, Soldano K, Nystrom S, Ferreira D, Miller SE, Bain JR, Muehlbauer MJ, Ilkayeva O, Becker TC, Hohmeier HE, Newgard CB, Olabisi OA. APOL1-mediated monovalent cation transport contributes to APOL1-mediated podocytopathy in kidney disease. J Clin Invest 2024; 134:e172262. [PMID: 38227370 PMCID: PMC10904047 DOI: 10.1172/jci172262] [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: 05/15/2023] [Accepted: 01/09/2024] [Indexed: 01/17/2024] Open
Abstract
Two coding variants of apolipoprotein L1 (APOL1), called G1 and G2, explain much of the excess risk of kidney disease in African Americans. While various cytotoxic phenotypes have been reported in experimental models, the proximal mechanism by which G1 and G2 cause kidney disease is poorly understood. Here, we leveraged 3 experimental models and a recently reported small molecule blocker of APOL1 protein, VX-147, to identify the upstream mechanism of G1-induced cytotoxicity. In HEK293 cells, we demonstrated that G1-mediated Na+ import/K+ efflux triggered activation of GPCR/IP3-mediated calcium release from the ER, impaired mitochondrial ATP production, and impaired translation, which were all reversed by VX-147. In human urine-derived podocyte-like epithelial cells (HUPECs), we demonstrated that G1 caused cytotoxicity that was again reversible by VX-147. Finally, in podocytes isolated from APOL1 G1 transgenic mice, we showed that IFN-γ-mediated induction of G1 caused K+ efflux, activation of GPCR/IP3 signaling, and inhibition of translation, podocyte injury, and proteinuria, all reversed by VX-147. Together, these results establish APOL1-mediated Na+/K+ transport as the proximal driver of APOL1-mediated kidney disease.
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Affiliation(s)
- Somenath Datta
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke University School of Medicine, Department of Medicine, Division of Nephrology, Durham, North Carolina, USA
| | | | | | | | | | - Hengtao Zhang
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Cardiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Paul B. Rosenberg
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Cardiology, Duke University School of Medicine, Durham, North Carolina, USA
| | - Alec B. Chaves
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
| | - Deborah M. Muoio
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA
| | - Guofang Zhang
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, North Carolina, USA
| | - Daniel Silas
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke University School of Medicine, Department of Medicine, Division of Nephrology, Durham, North Carolina, USA
| | - Guojie Li
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke University School of Medicine, Department of Medicine, Division of Nephrology, Durham, North Carolina, USA
| | - Karen Soldano
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke University School of Medicine, Department of Medicine, Division of Nephrology, Durham, North Carolina, USA
| | - Sarah Nystrom
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke University School of Medicine, Department of Medicine, Division of Nephrology, Durham, North Carolina, USA
| | - Davis Ferreira
- Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA
| | - Sara E. Miller
- Department of Pathology, Duke University Medical Center, Durham, North Carolina, USA
| | - James R. Bain
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, North Carolina, USA
| | - Michael J. Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, North Carolina, USA
| | - Thomas C. Becker
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, North Carolina, USA
| | - Hans-Ewald Hohmeier
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, North Carolina, USA
| | - Christopher B. Newgard
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Medicine, Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, North Carolina, USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, North Carolina, USA
| | - Opeyemi A. Olabisi
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina, USA
- Duke University School of Medicine, Department of Medicine, Division of Nephrology, Durham, North Carolina, USA
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9
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Chang HW, Lee EM, Wang Y, Zhou C, Pruss KM, Henrissat S, Chen RY, Kao C, Hibberd MC, Lynn HM, Webber DM, Crane M, Cheng J, Rodionov DA, Arzamasov AA, Castillo JJ, Couture G, Chen Y, Balcazo NP, Lebrilla CB, Terrapon N, Henrissat B, Ilkayeva O, Muehlbauer MJ, Newgard CB, Mostafa I, Das S, Mahfuz M, Osterman AL, Barratt MJ, Ahmed T, Gordon JI. Prevotella copri-related effects of a therapeutic food for malnutrition. bioRxiv 2023:2023.08.11.553030. [PMID: 37645712 PMCID: PMC10461977 DOI: 10.1101/2023.08.11.553030] [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] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/31/2023]
Abstract
Preclinical and clinical studies are providing evidence that the healthy growth of infants and children reflects, in part, healthy development of their gut microbiomes1-5. This process of microbial community assembly and functional maturation is perturbed in children with acute malnutrition. Gnotobiotic animals, colonized with microbial communities from children with severe and moderate acute malnutrition, have been used to develop microbiome-directed complementary food (MDCF) formulations for repairing the microbiomes of these children during the weaning period5. Bangladeshi children with moderate acute malnutrition (MAM) participating in a previously reported 3-month-long randomized controlled clinical study of one such formulation, MDCF-2, exhibited significantly improved weight gain compared to a commonly used nutritional intervention despite the lower caloric density of the MDCF6. Characterizing the 'metagenome assembled genomes' (MAGs) of bacterial strains present in the microbiomes of study participants revealed a significant correlation between accelerated ponderal growth and the expression by two Prevotella copri MAGs of metabolic pathways involved in processing of MDCF-2 glycans1. To provide a direct test of these relationships, we have now performed 'reverse translation' experiments using a gnotobiotic mouse model of mother-to-offspring microbiome transmission. Mice were colonized with defined consortia of age- and ponderal growth-associated gut bacterial strains cultured from Bangladeshi infants/children in the study population, with or without P. copri isolates resembling the MAGs. By combining analyses of microbial community assembly, gene expression and processing of glycan constituents of MDCF-2 with single nucleus RNA-Seq and mass spectrometric analyses of the intestine, we establish a principal role for P. copri in mediating metabolism of MDCF-2 glycans, characterize its interactions with other consortium members including Bifidobacterium longum subsp. infantis, and demonstrate the effects of P. copri-containing consortia in mediating weight gain and modulating the activities of metabolic pathways involved in lipid, amino acid, carbohydrate plus other facets of energy metabolism within epithelial cells positioned at different locations in intestinal crypts and villi. Together, the results provide insights into structure/function relationships between MDCF-2 and members of the gut communities of malnourished children; they also have implications for developing future prebiotic, probiotic and/or synbiotic therapeutics for microbiome restoration in children with already manifest malnutrition, or who are at risk for this pervasive health challenge.
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Affiliation(s)
- Hao-Wei Chang
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Evan M. Lee
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Yi Wang
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Cyrus Zhou
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Kali M. Pruss
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Suzanne Henrissat
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille University, F-13288, Marseille, France
| | - Robert Y. Chen
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Clara Kao
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Matthew C. Hibberd
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Hannah M. Lynn
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Daniel M. Webber
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Marie Crane
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Jiye Cheng
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Dmitry A. Rodionov
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037 USA
| | - Aleksandr A. Arzamasov
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037 USA
| | - Juan J. Castillo
- Department of Chemistry, University of California, Davis, CA 95616 USA
| | - Garret Couture
- Department of Chemistry, University of California, Davis, CA 95616 USA
| | - Ye Chen
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Chemistry, University of California, Davis, CA 95616 USA
| | - Nikita P. Balcazo
- Department of Chemistry, University of California, Davis, CA 95616 USA
| | | | - Nicolas Terrapon
- Architecture et Fonction des Macromolécules Biologiques, CNRS, Aix-Marseille University, F-13288, Marseille, France
| | - Bernard Henrissat
- Department of Biotechnology and Biomedicine (DTU Bioengineering), Technical University of Denmark, DK-2800 Kgs. Lyngby, Denmark
- Department of Biological Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Olga Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27710 USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27710 USA
- Department of Medicine, Duke University Medical Center, Durham, NC, 27710 USA
| | - Michael J. Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27710 USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27710 USA
| | - Christopher B. Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC 27710 USA
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27710 USA
- Department of Medicine, Duke University Medical Center, Durham, NC, 27710 USA
- Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, NC 27710 USA
| | - Ishita Mostafa
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh
| | - Subhasish Das
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh
| | - Mustafa Mahfuz
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh
| | - Andrei L. Osterman
- Infectious and Inflammatory Disease Center, Sanford Burnham Prebys Medical Discovery Institute, La Jolla, CA 92037 USA
| | - Michael J. Barratt
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110 USA
| | - Tahmeed Ahmed
- International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka 1212, Bangladesh
| | - Jeffrey I. Gordon
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO 63110 USA
- Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, MO 63110 USA
- Department of Pathology and Immunology, Washington University School of Medicine, St. Louis, MO 63110 USA
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10
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Truby LK, Kwee LC, Bowles DE, Casalinova S, Ilkayeva O, Muehlbauer MJ, Huebner JL, Holley CL, DeVore AD, Patel CB, Kang L, Pla MM, Gross R, McGarrah RW, Schroder JN, Milano CA, Shah SH. Metabolomic profiling during ex situ normothermic perfusion before heart transplantation defines patterns of substrate utilization and correlates with markers of allograft injury. J Heart Lung Transplant 2023:S1053-2498(23)02163-0. [PMID: 38065238 DOI: 10.1016/j.healun.2023.12.002] [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] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 11/21/2023] [Accepted: 12/02/2023] [Indexed: 12/22/2023] Open
Abstract
BACKGROUND Cardiac metabolism is altered in heart failure and ischemia-reperfusion injury states. We hypothesized that metabolomic profiling during ex situ normothermic perfusion before heart transplantation (HT) would lend insight into myocardial substrate utilization and report on subclinical and clinical allograft dysfunction risk. METHODS Metabolomic profiling was performed on serial samples of ex situ normothermic perfusate assaying biomarkers of myocardial injury in lactate and cardiac troponin I (TnI) as well as metabolites (66 acylcarnitines, 15 amino acids, nonesterified fatty acids [NEFA], ketones, and 3-hydroxybutyrate). We tested for change over time in injury biomarkers and metabolites, along with differential changes by recovery strategy (donation after circulatory death [DCD] vs donation after brain death [DBD]). We examined associations between metabolites, injury biomarkers, and primary graft dysfunction (PGD). Analyses were performed using linear mixed models adjusted for recovery strategy, assay batch, donor-predicted heart mass, and time. RESULTS A total of 176 samples from 92 ex situ perfusion runs were taken from donors with a mean age of 35 (standard deviation 11.3) years and a median total ex situ perfusion time of 234 (interquartile range 84) minutes. Lactate trends over time differed significantly by recovery strategy, while TnI increased during ex situ perfusion regardless of DCD vs DBD status. We found fuel substrates were rapidly depleted during ex situ perfusion, most notably the branched-chain amino acids leucine/isoleucine, as well as ketones, 3-hydroxybutyrate, and NEFA (least squares [LS] mean difference from the first to last time point -1.7 to -4.5, false discovery rate q < 0.001). Several long-chain acylcarnitines (LCAC), including C16, C18, C18:1, C18:2, C18:3, C20:3, and C20:4, increased during the perfusion run (LS mean difference 0.42-0.67, q < 0.001). Many LCACs were strongly associated with lactate and TnI. The change over time of many LCACs was significantly different for DCD vs DBD, suggesting differential trends in fuel substrate utilization by ischemic injury pattern. Changes in leucine/isoleucine, arginine, C12:1-OH/C10:1-DC, and C16-OH/C14-DC were associated with increased odds of moderate-severe PGD. Neither end-of-run nor change in lactate or TnI was associated with PGD. CONCLUSIONS Metabolomic profiling of ex situ normothermic perfusion solution reveals a pattern of fuel substrate utilization that correlates with subclinical and clinical allograft dysfunction. This study highlights a potential role for interventions focused on fuel substrate modification in allograft conditioning during ex situ perfusion to improve allograft outcomes.
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Affiliation(s)
- Lauren K Truby
- University of Texas Southwestern Medical Center, Dallas, Texas
| | | | - Dawn E Bowles
- Duke University Medical Center, Durham, North Carolina
| | | | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, North Carolina
| | | | | | | | - Adam D DeVore
- Duke University Medical Center, Durham, North Carolina
| | | | - Lillian Kang
- Duke University Medical Center, Durham, North Carolina
| | | | - Ryan Gross
- Duke University Medical Center, Durham, North Carolina
| | | | | | | | - Svati H Shah
- Duke Molecular Physiology Institute, Durham, North Carolina.
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11
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Bianco ME, Vu MH, Bain JR, Muehlbauer MJ, Ilkayeva OR, Scholtens DM, Josefson J, Lowe WL. Maternal and Cord Blood Serum Metabolite Associations with Childhood Adiposity and Body Composition Outcomes. Metabolites 2023; 13:749. [PMID: 37367907 DOI: 10.3390/metabo13060749] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/01/2023] [Accepted: 06/09/2023] [Indexed: 06/28/2023] Open
Abstract
Maternal metabolites influence the size of newborns independently of maternal body mass index (BMI) and glycemia, highlighting the importance of maternal metabolism on offspring outcomes. This study examined associations of maternal metabolites during pregnancy with childhood adiposity, and cord blood metabolites with childhood adiposity using phenotype and metabolomic data from the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study and the HAPO Follow-Up Study. The maternal metabolites analyses included 2324 mother-offspring pairs, while the cord blood metabolites analyses included 937 offspring. Multiple logistic and linear regression were used to examine associations between primary predictors, maternal or cord blood metabolites, and childhood adiposity outcomes. Multiple maternal fasting and 1 hr metabolites were significantly associated with childhood adiposity outcomes in Model 1 but were no longer significant after adjusting for maternal BMI and/or maternal glycemia. In the fully adjusted model, fasting lactose levels were negatively associated with child BMI z-scores and waist circumference, while fasting urea levels were positively associated with waist circumference. One-hour methionine was positively associated with fat-free mass. There were no significant associations between cord blood metabolites and childhood adiposity outcomes. Few metabolites were associated with childhood adiposity outcomes after adjusting for maternal BMI and glucose, suggesting that maternal BMI accounts for the association between maternal metabolites and childhood adiposity.
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Affiliation(s)
- Monica E Bianco
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - My H Vu
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - James R Bain
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC 27710, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27710, USA
| | - Olga R Ilkayeva
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC 27710, USA
- Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC 27710, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - Jami Josefson
- Ann & Robert H. Lurie Children's Hospital of Chicago, Chicago, IL 60611, USA
- Department of Pediatrics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
| | - William L Lowe
- Department of Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
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12
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Gleason B, Kuang A, Bain JR, Muehlbauer MJ, Ilkayeva OR, Scholtens DM, Lowe WL. Association of Maternal Metabolites and Metabolite Networks with Newborn Outcomes in a Multi-Ancestry Cohort. Metabolites 2023; 13:metabo13040505. [PMID: 37110162 PMCID: PMC10145069 DOI: 10.3390/metabo13040505] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 03/23/2023] [Accepted: 03/28/2023] [Indexed: 04/03/2023] Open
Abstract
The in utero environment is important for newborn size at birth, which is associated with childhood adiposity. We examined associations between maternal metabolite levels and newborn birthweight, sum of skinfolds (SSF), and cord C-peptide in a multinational and multi-ancestry cohort of 2337 mother–newborn dyads. Targeted and untargeted metabolomic assays were performed on fasting and 1 h maternal serum samples collected during an oral glucose tolerance test performed at 24–32 week gestation in women participating in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Anthropometric measurements were obtained on newborns at birth. Following adjustment for maternal BMI and glucose, per-metabolite analyses demonstrated significant associations between maternal metabolite levels and birthweight, SSF, and cord C-peptide. In the fasting state, triglycerides were positively associated and several long-chain acylcarnitines were inversely associated with birthweight and SSF. At 1 h, additional metabolites including branched-chain amino acids, proline, and alanine were positively associated with newborn outcomes. Network analyses demonstrated distinct clusters of inter-connected metabolites significantly associated with newborn phenotypes. In conclusion, numerous maternal metabolites during pregnancy are significantly associated with newborn birthweight, SSF, and cord C-peptide independent of maternal BMI and glucose, suggesting that metabolites in addition to glucose contribute to newborn size at birth and adiposity.
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13
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Many GM, Sanford JA, Sagendorf TJ, Hou Z, Nigro P, Whytock K, Amar D, Caputo T, Gay NR, Gaul DA, Hirshman M, Jimenez-Morales D, Lindholm ME, Muehlbauer MJ, Vamvini M, Bergman B, Fern Ndez FM, Goodyear LJ, Ortlund EA, Sparks LM, Xia A, Adkins JN, Bodine SC, Newgard CB, Schenk S. Sexual dimorphism and the multi-omic response to exercise training in rat subcutaneous white adipose tissue. bioRxiv 2023:2023.02.03.527012. [PMID: 36778330 PMCID: PMC9915732 DOI: 10.1101/2023.02.03.527012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Subcutaneous white adipose tissue (scWAT) is a dynamic storage and secretory organ that regulates systemic homeostasis, yet the impact of endurance exercise training and sex on its molecular landscape has not been fully established. Utilizing an integrative multi-omics approach with data generated by the Molecular Transducers of Physical Activity Consortium (MoTrPAC), we identified profound sexual dimorphism in the dynamic response of rat scWAT to endurance exercise training. Despite similar cardiorespiratory improvements, only male rats reduced whole-body adiposity, scWAT adipocyte size, and total scWAT triglyceride abundance with training. Multi-omic analyses of adipose tissue integrated with phenotypic measures identified sex-specific training responses including enrichment of mTOR signaling in females, while males displayed enhanced mitochondrial ribosome biogenesis and oxidative metabolism. Overall, this study reinforces our understanding that sex impacts scWAT biology and provides a rich resource to interrogate responses of scWAT to endurance training.
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14
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Gill NP, Balasubramanian R, Bain JR, Muehlbauer MJ, Lowe WL, Scholtens DM. Correction: Path-level interpretation of Gaussian graphical models using the pair-path subscore. BMC Bioinformatics 2022; 23:462. [PMID: 36333655 PMCID: PMC9636707 DOI: 10.1186/s12859-022-04990-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
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15
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Letourneau J, Holmes ZC, Dallow EP, Durand HK, Jiang S, Carrion VM, Gupta SK, Mincey AC, Muehlbauer MJ, Bain JR, David LA. Ecological memory of prior nutrient exposure in the human gut microbiome. ISME J 2022; 16:2479-2490. [PMID: 35871250 PMCID: PMC9563064 DOI: 10.1038/s41396-022-01292-x] [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] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Revised: 07/05/2022] [Accepted: 07/07/2022] [Indexed: 04/20/2023]
Abstract
Many ecosystems have been shown to retain a memory of past conditions, which in turn affects how they respond to future stimuli. In microbial ecosystems, community disturbance has been associated with lasting impacts on microbiome structure. However, whether microbial communities alter their response to repeated stimulus remains incompletely understood. Using the human gut microbiome as a model, we show that bacterial communities retain an "ecological memory" of past carbohydrate exposures. Memory of the prebiotic inulin was encoded within a day of supplementation among a cohort of human study participants. Using in vitro gut microbial models, we demonstrated that the strength of ecological memory scales with nutrient dose and persists for days. We found evidence that memory is seeded by transcriptional changes among primary degraders of inulin within hours of nutrient exposure, and that subsequent changes in the activity and abundance of these taxa are sufficient to enhance overall community nutrient metabolism. We also observed that ecological memory of one carbohydrate species impacts microbiome response to other carbohydrates, and that an individual's habitual exposure to dietary fiber was associated with their gut microbiome's efficiency at digesting inulin. Together, these findings suggest that the human gut microbiome's metabolic potential reflects dietary exposures over preceding days and changes within hours of exposure to a novel nutrient. The dynamics of this ecological memory also highlight the potential for intra-individual microbiome variation to affect the design and interpretation of interventions involving the gut microbiome.
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Affiliation(s)
- Jeffrey Letourneau
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Zachary C Holmes
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Eric P Dallow
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Heather K Durand
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Sharon Jiang
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Verónica M Carrion
- Duke Office of Clinical Research, Duke University School of Medicine, Durham, NC, USA
| | - Savita K Gupta
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA
| | - Adam C Mincey
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - James R Bain
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Department of Medicine (Endocrinology), Duke University School of Medicine, Durham, NC, USA
| | - Lawrence A David
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, USA.
- Program in Computational Biology and Bioinformatics, Duke University School of Medicine, Durham, NC, USA.
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16
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Gupta A, Saraiya V, Deveaux A, Oyekunle T, Jackson KD, Salako O, Daramola A, Hall A, Alatise O, Ogun G, Adeniyi A, Ayandipo O, Olajide T, Olasehinde O, Arowolo O, Adisa A, Afuwape O, Olusanya A, Adegoke A, Tollefsbol TO, Arnett D, Muehlbauer MJ, Newgard CB, Akinyemiju T. Association of lipid profile biomarkers with breast cancer by molecular subtype: analysis of the MEND study. Sci Rep 2022; 12:10631. [PMID: 35739205 PMCID: PMC9226351 DOI: 10.1038/s41598-022-13740-x] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Accepted: 05/27/2022] [Indexed: 02/07/2023] Open
Abstract
There is conflicting evidence on the role of lipid biomarkers in breast cancer (BC), and no study to our knowledge has examined this association among African women. We estimated odds ratios (ORs) and 95% confidence intervals (95% CI) for the association of lipid biomarkers-total cholesterol, high-density lipoprotein (HDL), low-density lipoprotein (LDL), and triglycerides-with odds of BC overall and by subtype (Luminal A, Luminal B, HER2-enriched and triple-negative or TNBC) for 296 newly diagnosed BC cases and 116 healthy controls in Nigeria. Each unit standard deviation (SD) increase in triglycerides was associated with 39% increased odds of BC in fully adjusted models (aOR: 1.39; 95% CI: 1.03, 1.86). Among post-menopausal women, higher total cholesterol (aOR: 1.65; 95% CI: 1.06, 2.57), LDL cholesterol (aOR: 1.59; 95% CI: 1.04, 2.41), and triglycerides (aOR: 1.91; 95% CI: 1.21, 3.01) were associated with increased odds of BC. Additionally, each unit SD increase in LDL was associated with 64% increased odds of Luminal B BC (aOR 1.64; 95% CI: 1.06, 2.55). Clinically low HDL was associated with 2.7 times increased odds of TNBC (aOR 2.67; 95% CI: 1.10, 6.49). Among post-menopausal women, higher LDL cholesterol and triglycerides were significantly associated with increased odds of Luminal B BC and HER2 BC, respectively. In conclusion, low HDL and high LDL are associated with increased odds of TN and Luminal B BC, respectively, among African women. Future prospective studies can definitively characterize this association and inform clinical approaches targeting HDL as a BC prevention strategy.
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Affiliation(s)
- Anjali Gupta
- Trinity College of Arts and Sciences, Duke University, Durham, NC, USA
- Department of Population Health Sciences, School of Medicine, Duke University, 215 Morris Street, Durham, NC, 27708, USA
| | - Veeral Saraiya
- Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, NC, USA
| | - April Deveaux
- Department of Population Health Sciences, School of Medicine, Duke University, 215 Morris Street, Durham, NC, 27708, USA
| | - Taofik Oyekunle
- Department of Population Health Sciences, School of Medicine, Duke University, 215 Morris Street, Durham, NC, 27708, USA
| | - Klarissa D Jackson
- Divison of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill Eshelman School of Pharmacy, Chapel Hill, NC, USA
| | - Omolola Salako
- College of Medicine &, Lagos University Teaching Hospital, University of Lagos, Lagos, Lagos State, Nigeria
| | - Adetola Daramola
- College of Medicine &, Lagos University Teaching Hospital, University of Lagos, Lagos, Lagos State, Nigeria
| | - Allison Hall
- Department of Pathology, School of Medicine, Duke University, Durham, NC, USA
| | - Olusegun Alatise
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Gabriel Ogun
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | - Omobolaji Ayandipo
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Thomas Olajide
- College of Medicine &, Lagos University Teaching Hospital, University of Lagos, Lagos, Lagos State, Nigeria
| | | | - Olukayode Arowolo
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Adewale Adisa
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Oludolapo Afuwape
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Aralola Olusanya
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Aderemi Adegoke
- Our Lady of Apostle Catholic Hospital, Ibadan, Oyo State, Nigeria
| | | | - Donna Arnett
- College of Public Health, University of Kentucky, Lexington, KY, USA
| | | | | | - Tomi Akinyemiju
- Department of Population Health Sciences, School of Medicine, Duke University, 215 Morris Street, Durham, NC, 27708, USA.
- Duke Cancer Institute, School of Medicine, Duke University, Durham, NC, USA.
- Duke Global Health Institute, Duke University, Durham, NC, USA.
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17
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Siamakpour-Reihani S, Cao F, Lyu J, Ren Y, Nixon AB, Xie J, Bush AT, Starr MD, Bain JR, Muehlbauer MJ, Ilkayeva O, Byers Kraus V, Huebner JL, Chao NJ, Sung AD. Evaluating immune response and metabolic related biomarkers pre-allogenic hematopoietic stem cell transplant in acute myeloid leukemia. PLoS One 2022; 17:e0268963. [PMID: 35700185 PMCID: PMC9197059 DOI: 10.1371/journal.pone.0268963] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Accepted: 05/05/2022] [Indexed: 01/08/2023] Open
Abstract
Although hematopoietic stem cell transplantation (HCT) is the only curative treatment for acute myeloid leukemia (AML), it is associated with significant treatment related morbidity and mortality. There is great need for predictive biomarkers associated with overall survival (OS) and clinical outcomes. We hypothesized that circulating metabolic, inflammatory, and immune molecules have potential as predictive biomarkers for AML patients who receive HCT treatment. This retrospective study was designed with an exploratory approach to comprehensively characterize immune, inflammatory, and metabolomic biomarkers. We identified patients with AML who underwent HCT and had existing baseline plasma samples. Using those samples (n = 34), we studied 65 blood based metabolomic and 61 immune/inflammatory related biomarkers, comparing patients with either long-term OS (≥ 3 years) or short-term OS (OS ≤ 1 years). We also compared the immune/inflammatory response and metabolomic biomarkers in younger vs. older AML patients (≤30 years vs. ≥ 55 years old). In addition, the biomarker profiles were analyzed for their association with clinical outcomes, namely OS, chronic graft versus host disease (cGVHD), acute graft versus host disease (aGVHD), infection and relapse. Several baseline biomarkers were elevated in older versus younger patients, and baseline levels were lower for three markers (IL13, SAA, CRP) in patients with OS ≥ 3 years. We also identified immune/inflammatory response markers associated with aGVHD (IL-9, Eotaxin-3), cGVHD (Flt-1), infection (D-dimer), or relapse (IL-17D, bFGF, Eotaxin-3). Evaluation of metabolic markers demonstrated higher baseline levels of medium- and long-chain acylcarnitines (AC) in older patients, association with aGVHD (lactate, long-chain AC), and cGVHD (medium-chain AC). These differentially expressed profiles merit further evaluation as predictive biomarkers.
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Affiliation(s)
- Sharareh Siamakpour-Reihani
- Division of Hematologic Malignancies and Cellular Therapy, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Felicia Cao
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Jing Lyu
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Yi Ren
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Andrew B. Nixon
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Jichun Xie
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Amy T. Bush
- Division of Hematologic Malignancies and Cellular Therapy, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Mark D. Starr
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - James R. Bain
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Michael J. Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Virginia Byers Kraus
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina, United States of America
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Janet L. Huebner
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Nelson J. Chao
- Division of Hematologic Malignancies and Cellular Therapy, Duke University School of Medicine, Durham, North Carolina, United States of America
| | - Anthony D. Sung
- Division of Hematologic Malignancies and Cellular Therapy, Duke University School of Medicine, Durham, North Carolina, United States of America
- * E-mail:
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18
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Shantavasinkul PC, Omotosho P, Corsino L, Muehlbauer MJ, Chattranukulchai P, Torquati A. Changes of Circulating Irisin and High-Sensitivity C-Reactive Protein Levels in Morbidly Obese Individuals with Type 2 Diabetes After Roux-en-Y Gastric Bypass. J Laparoendosc Adv Surg Tech A 2022; 32:817-822. [PMID: 35443789 PMCID: PMC9416543 DOI: 10.1089/lap.2021.0558] [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] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background: Irisin has been recently reported to provide beneficial effects in obesity and diabetes. Elevation of high-sensitivity C-reactive protein (hs-CRP) reflects the inflammatory state that has been shown to play a key role in obesity and its comorbidities. Objective: Our study aimed to compare the changes of circulating irisin levels in an obese diabetic population who underwent laparoscopic Roux-en-Y gastric bypass (LRYGB) versus a control-matched population who underwent usual medical care plus diabetes support education (DSE) program. In addition, we aimed to explore the association between circulating irisin and hs-CRP levels after the interventions. Methods: In a prospective controlled trial, we studied 58 obese individuals with type 2 diabetes before and 12 months after intervention. Twenty-nine subjects underwent LRYGB and 29 subjects received DSE. Results: At 12-month follow-up, compared with the DSE group, patients who underwent LRYGB lost more weight (LRYGB; -33.4 ± 11.2, and DSE; 0.2 ± 4.9 kg; P < .001), fat mass (P < .001), and fat-free mass (P < .05). Circulating irisin (P < .05) and hs-CRP level (P < .05) were also significantly lower. Within the LRYGB group, the reduction of irisin level was positively associated with the changes of hs-CRP levels (r = 0.39, P < .05). Conclusions: To the best of our knowledge, this is the first study showing that LRYGB significantly reduces circulating irisin levels compared with usual medical care and DSE, in an obese diabetic population. After LRYGB, the irisin reduction significantly correlates with the reduction of hs-CRP. The elevation of circulating irisin levels suggests irisin resistance in the obese state and its decrease after LRYGB might reflect the resolution of irisin resistance. Future investigations are needed to confirm and explore the mechanisms of irisin resistance in obesity, its resolution after LRYGB, and the pathophysiological significance.
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Affiliation(s)
- Prapimporn Ch Shantavasinkul
- Division of Nutrition and Biochemical Medicine, Department of Medicine, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand.,Graduate Program in Nutrition, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Bangkok, Thailand
| | - Philip Omotosho
- Department of General Surgery, Center for Weight Loss and Bariatric Surgery, Rush University Medical Center, Chicago, Illinois, USA
| | - Leonor Corsino
- Division of Endocrinology, Metabolism and Nutrition, Department of Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina, USA
| | - Pairoj Chattranukulchai
- Division of Cardiovascular Medicine, Department of Medicine, Faculty of Medicine, Chulalongkorn University, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Alfonso Torquati
- Department of General Surgery, Center for Weight Loss and Bariatric Surgery, Rush University Medical Center, Chicago, Illinois, USA
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19
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Gill NP, Balasubramanian R, Bain JR, Muehlbauer MJ, Lowe WL, Scholtens DM. Path-level interpretation of Gaussian graphical models using the pair-path subscore. BMC Bioinformatics 2022; 23:12. [PMID: 34986802 PMCID: PMC8729005 DOI: 10.1186/s12859-021-04542-5] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Accepted: 12/10/2021] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND : Construction of networks from cross-sectional biological data is increasingly common. Many recent methods have been based on Gaussian graphical modeling, and prioritize estimation of conditional pairwise dependencies among nodes in the network. However, challenges remain on how specific paths through the resultant network contribute to overall 'network-level' correlations. For biological applications, understanding these relationships is particularly relevant for parsing structural information contained in complex subnetworks. RESULTS: We propose the pair-path subscore (PPS), a method for interpreting Gaussian graphical models at the level of individual network paths. The scoring is based on the relative importance of such paths in determining the Pearson correlation between their terminal nodes. PPS is validated using human metabolomics data from the Hyperglycemia and adverse pregnancy outcome (HAPO) study, with observations confirming well-documented biological relationships among the metabolites. We also highlight how the PPS can be used in an exploratory fashion to generate new biological hypotheses. Our method is implemented in the R package pps, available at https://github.com/nathan-gill/pps . CONCLUSIONS: The PPS can be used to probe network structure on a finer scale by investigating which paths in a potentially intricate topology contribute most substantially to marginal behavior. Adding PPS to the network analysis toolkit may enable researchers to ask new questions about the relationships among nodes in network data.
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Affiliation(s)
- Nathan P Gill
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts - Amherst, Amherst, MA, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA.,Duke Molecular Physiology Institute, Durham, NC, USA.,Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA.,Duke Molecular Physiology Institute, Durham, NC, USA.,Duke University School of Medicine, Durham, NC, USA
| | - William L Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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20
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Lunyera J, Diamantidis CJ, Bosworth HB, Patel UD, Bain J, Muehlbauer MJ, Ilkayeva O, Nguyen M, Sharma B, Ma JZ, Shah SH, Scialla JJ. Urine tricarboxylic acid cycle signatures of early-stage diabetic kidney disease. Metabolomics 2021; 18:5. [PMID: 34928443 DOI: 10.1007/s11306-021-01858-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2021] [Accepted: 11/28/2021] [Indexed: 10/19/2022]
Abstract
INTRODUCTION Urine tricarboxylic acid (TCA) cycle organic anions (OAs) are elevated in diabetes and may be biomarkers for diabetic kidney disease (DKD) progression. OBJECTIVES We assessed associations of 10 urine TCA cycle OAs with estimated glomerular filtration rate (eGFR) and eGFR slope. METHODS This study is ancillary to the Simultaneous Risk Factor Control Using Telehealth to SlOw Progression of Diabetic Kidney Disease (STOP-DKD) Trial-a randomized trial of pharmacist-led medication and behavior management in 281 patients with early to moderate DKD at Duke from 2014 to 2015. We used linear mixed models to assess associations of urine TCA cycle OAs with outcomes and modelled TCA cycle OAs as: (1) the average of z-scores for each OA; and (2) principal component (PC) scores derived by principal component analysis (PCA). Untargeted urine metabolomics were added for additional discovery. RESULTS Among 132 participants with 24 h urine samples (50% men; 58% Black; mean age 64 years [SD 9]; mean eGFR 74 ml/min/1.73m2 [SD 21] and median urine albumin-to-creatinine [UACR] 20 mg/g [IQR 8-95]), PCA identified 3 OA metabolite PCs. Malate, fumarate, pyruvate, α-ketoglutarate, lactate, succinate and citrate/isocitrate loaded positively on PC1; methylsuccinate, ethylmalonate and succinate loaded positively on PC2; and methylmalonate, ethylmalonate and citrate/isocitrate loaded negatively on PC3. Over a median follow-up of 1.8 years (IQR, 1.2 to 2.2), higher average OA z-score was strongly associated with higher eGFR after covariate adjustment (p = 0.01), but not with eGFR slope (p = 0.9). Higher PC3, but not other PCs, was associated with lower eGFR (p < 0.001). Conditional random forests and smooth clipped absolute deviation models confirmed methylmalonate, citrate/isocitrate, and ethylmalonate, and added lactate as top ranked metabolites in models of baseline eGFR (R-squared 0.32 and 0.33, respectively). Untargeted urine metabolites confirmed association of urine TCA cycle OAs with kidney function. CONCLUSION Thus, lower urine TCA cycle OAs, most notably lower methylmalonate, ethylmalonate and citrate/isocitrate, are potential indicators of kidney impairment in early stage DKD.
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Affiliation(s)
- Joseph Lunyera
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Clarissa J Diamantidis
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
| | - Hayden B Bosworth
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA
- Center of Innovation to Accelerate Discovery and Practice Transformation (ADAPT), Durham Veterans Affairs Medical Center, Durham, NC, USA
| | - Uptal D Patel
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- AstraZeneca, Gaithersburg, MD, USA
| | - James Bain
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Olga Ilkayeva
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Maggie Nguyen
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Binu Sharma
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Jennie Z Ma
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Svati H Shah
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, NC, USA
| | - Julia J Scialla
- Department of Medicine, University of Virginia School of Medicine, Charlottesville, VA, USA.
- Department of Public Health Sciences, University of Virginia School of Medicine, Charlottesville, VA, USA.
- Division of Nephrology, School of Medicine, University of Virginia, Box 800133, Charlottesville, VA, 22908, USA.
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21
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Akinyemiju T, Oyekunle T, Salako O, Gupta A, Alatise O, Ogun G, Adeniyi A, Deveaux A, Hall A, Ayandipo O, Olajide T, Olasehinde O, Arowolo O, Adisa A, Afuwape O, Olusanya A, Adegoke A, Tollefsbol TO, Arnett D, Muehlbauer MJ, Newgard CB, Daramola A. Metabolic Syndrome and Risk of Breast Cancer by Molecular Subtype: Analysis of the MEND Study. Clin Breast Cancer 2021; 22:e463-e472. [PMID: 34980540 PMCID: PMC9641637 DOI: 10.1016/j.clbc.2021.11.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2021] [Revised: 11/06/2021] [Accepted: 11/15/2021] [Indexed: 12/17/2022]
Abstract
Metabolic syndrome is a cluster of biological irregularities that is a known risk factor for cardiovascular disease, stroke, and diabetes. In a case-control study of 555 West African women, we observed that metabolic syndrome was strongly associated with breast cancer and the aggressive triple-negative molecular subtype, highlighting a need for clinical and lifestyle interventions targeting metabolic syndrome to reduce breast cancer risk in this population.
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Affiliation(s)
- Tomi Akinyemiju
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC; Duke Cancer Institute, School of Medicine, Duke University, Durham, NC; Duke Global Health Institute, Duke University, Durham, NC.
| | - Taofik Oyekunle
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC
| | - Omolola Salako
- College of Medicine and Lagos University Teaching Hospital, University of Lagos, Lagos, Nigeria
| | - Anjali Gupta
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC
| | - Olusegun Alatise
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Gabriel Ogun
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | | | - April Deveaux
- Department of Population Health Sciences, School of Medicine, Duke University, Durham, NC
| | - Allison Hall
- Department of Pathology, School of Medicine, Duke University, Durham, NC
| | - Omobolaji Ayandipo
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Thomas Olajide
- College of Medicine and Lagos University Teaching Hospital, University of Lagos, Lagos, Nigeria
| | | | - Olukayode Arowolo
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Adewale Adisa
- Obafemi Awolowo University Teaching Hospital, Ile-Ife, Osun State, Nigeria
| | - Oludolapo Afuwape
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Aralola Olusanya
- Unversity College Hospital, University of Ibadan, Ibadan, Oyo State, Nigeria
| | - Aderemi Adegoke
- Our Lady of Apostle Catholic Hospital, Ibadan, Oyo State, Nigeria
| | | | - Donna Arnett
- College of Public Health, University of Kentucky, Lexington, KY
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC
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- University of Kansas Medical Center, Kansas City, KS
| | - Adetola Daramola
- College of Medicine and Lagos University Teaching Hospital, University of Lagos, Lagos, Nigeria; University of Kansas Medical Center, Kansas City, KS
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22
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Liu Y, Kuang A, Bain JR, Muehlbauer MJ, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, Lowe WL. Maternal Metabolites Associated With Gestational Diabetes Mellitus and a Postpartum Disorder of Glucose Metabolism. J Clin Endocrinol Metab 2021; 106:3283-3294. [PMID: 34255031 PMCID: PMC8677596 DOI: 10.1210/clinem/dgab513] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [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: 04/18/2021] [Indexed: 12/15/2022]
Abstract
CONTEXT Gestational diabetes is associated with a long-term risk of developing a disorder of glucose metabolism. However, neither the metabolic changes characteristic of gestational diabetes in a large, multi-ancestry cohort nor the ability of metabolic changes during pregnancy, beyond glucose levels, to identify women at high risk for progression to a disorder of glucose metabolism has been examined. OBJECTIVE This work aims to identify circulating metabolites present at approximately 28 weeks' gestation associated with gestational diabetes mellitus (GDM) and development of a disorder of glucose metabolism 10 to 14 years later. METHODS Conventional clinical and targeted metabolomics analyses were performed on fasting and 1-hour serum samples following a 75-g glucose load at approximately 28 weeks' gestation from 2290 women who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) Study. Postpartum metabolic traits included fasting and 2-hour plasma glucose following a 75-g glucose load, insulin resistance estimated by the homeostasis model assessment of insulin resistance, and disorders of glucose metabolism (prediabetes and type 2 diabetes) during the HAPO Follow-Up Study. RESULTS Per-metabolite analyses identified numerous metabolites, ranging from amino acids and carbohydrates to fatty acids and lipids, before and 1-hour after a glucose load that were associated with GDM as well as development of a disorder of glucose metabolism and metabolic traits 10 to 14 years post partum. A core group of fasting and 1-hour metabolites mediated, in part, the relationship between GDM and postpartum disorders of glucose metabolism, with the fasting and 1-hour metabolites accounting for 15.7% (7.1%-30.8%) and 35.4% (14.3%-101.0%) of the total effect size, respectively. For prediction of a postpartum disorder of glucose metabolism, the addition of circulating fasting or 1-hour metabolites at approximately 28 weeks' gestation showed little improvement in prediction performance compared to clinical factors alone. CONCLUSION The results demonstrate an association of multiple metabolites with GDM and postpartum metabolic traits and begin to define the underlying pathophysiology of the transition from GDM to a postpartum disorder of glucose metabolism.
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Affiliation(s)
- Yu Liu
- Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, P. R. China
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - Alan Kuang
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina 27705, USA
- Duke Molecular Physiology Institute, Durham, North Carolina 27701, USA
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina 27707, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina 27705, USA
- Duke Molecular Physiology Institute, Durham, North Carolina 27701, USA
| | - Olga R Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina 27705, USA
- Duke Molecular Physiology Institute, Durham, North Carolina 27701, USA
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina 27707, USA
| | - Lynn P Lowe
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - Boyd E Metzger
- Department of Endocrinology and Metabolism, Renji Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai 200127, P. R. China
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, North Carolina 27705, USA
- Duke Molecular Physiology Institute, Durham, North Carolina 27701, USA
- Department of Medicine, Duke University School of Medicine, Durham, North Carolina 27707, USA
| | - Denise M Scholtens
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois 60611, USA
- Correspondence: William L. Lowe Jr, MD, Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E Superior St, Chicago, IL 60611, USA.
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23
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Gumus Balikcioglu P, Ramaker ME, Mason KA, Huffman KM, Johnson JL, Ilkayeva O, Muehlbauer MJ, Freemark M, Kraus WE. Branched-Chain Amino Acid Catabolism and Cardiopulmonary Function Following Acute Maximal Exercise Testing in Adolescents. Front Cardiovasc Med 2021; 8:721354. [PMID: 34485418 PMCID: PMC8416443 DOI: 10.3389/fcvm.2021.721354] [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] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 07/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background: To provide energy for cardiopulmonary function and maintenance of blood glucose, acute aerobic exercise induces lipolysis, fatty acid oxidation (FAO), glycolysis, and glycogenolysis/gluconeogenesis. These adaptations are mediated by increases in cortisol, growth hormone (GH), and catecholamines and facilitated by a decline in insulin. Branched-chain amino acids (BCAA) also undergo catabolism during intense exercise. Here, we investigated the relationship between BCAA catabolism and metrics of cardiopulmonary function in healthy, well-developed, mature adolescent athletes undergoing an acute bout of maximal aerobic exercise. Hypothesis: We hypothesized: (a) acute maximal exercise in adolescents induces lipolysis, FAO, and BCAA catabolism associated with increases in GH and cortisol and a reduction in insulin; (b) increases in GH are associated with increases in ghrelin; and (c) metrics of cardiopulmonary function (aVO2, rVO2, aVO2/HRmax) following maximal exercise correlate with increases in GH secretion, FAO, and BCAA catabolism. Methods: Blood samples before and after maximal cardiopulmonary exercise in 11 adolescent athletes were analyzed by tandem-mass spectrometry. Paired, two-tailed student's t-tests identified significant changes following exercise. Linear regression determined if pre-exercise metabolite levels, or changes in metabolite levels, were associated with aVO2, rVO2, and aVO2/HRmax. Sex and school of origin were included as covariates in all regression analyses. Results: Following exercise there were increases in GH and cortisol, and decreases in ghrelin, but no changes in glucose or insulin concentrations. Suggesting increased lipolysis and FAO, the levels of glycerol, ketones, β-hydroxybutyrate, and acetylcarnitine concentrations increased. Pyruvate, lactate, alanine, and glutamate concentrations also increased. Plasma concentrations of valine (a BCAA) declined (p = 0.002) while valine degradation byproducts increased in association with decreases in urea cycle amino acids arginine and ornithine. Metrics of cardiopulmonary function were associated with increases in propionylcarnitine (C3, p = 0.013) and Ci4-DC/C4-DC (p < 0.01), byproducts of BCAA catabolism. Conclusions: Induction of lipolysis, FAO, gluconeogenesis, and glycogenolysis provides critical substrates for cardiopulmonary function during exercise. However, none of those pathways were significantly associated with metrics of cardiopulmonary function. The associations between rVO2, and aVO2/HRmax and C3 and Ci4-DC/C4-DC suggest that the cardiopulmonary response to maximal exercise in adolescents is linked to BCAA utilization and catabolism.
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Affiliation(s)
- Pinar Gumus Balikcioglu
- Division of Pediatric Endocrinology and Diabetes, Duke University School of Medicine, Durham, NC, United States.,Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Megan E Ramaker
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Kelly A Mason
- Division of Pediatric Endocrinology and Diabetes, Duke University School of Medicine, Durham, NC, United States
| | - Kim M Huffman
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Johanna L Johnson
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States.,Division of Endocrinology, Metabolism, and Nutrition, Duke University School of Medicine, Durham, NC, United States
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes, Duke University School of Medicine, Durham, NC, United States.,Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States.,Division of Adult Cardiology, Duke University School of Medicine, Durham, NC, United States
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24
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van Vliet S, Bain JR, Muehlbauer MJ, Provenza FD, Kronberg SL, Pieper CF, Huffman KM. A metabolomics comparison of plant-based meat and grass-fed meat indicates large nutritional differences despite comparable Nutrition Facts panels. Sci Rep 2021; 11:13828. [PMID: 34226581 PMCID: PMC8257669 DOI: 10.1038/s41598-021-93100-3] [Citation(s) in RCA: 43] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Accepted: 06/14/2021] [Indexed: 02/08/2023] Open
Abstract
A new generation of plant-based meat alternatives-formulated to mimic the taste and nutritional composition of red meat-have attracted considerable consumer interest, research attention, and media coverage. This has raised questions of whether plant-based meat alternatives represent proper nutritional replacements to animal meat. The goal of our study was to use untargeted metabolomics to provide an in-depth comparison of the metabolite profiles a popular plant-based meat alternative (n = 18) and grass-fed ground beef (n = 18) matched for serving size (113 g) and fat content (14 g). Despite apparent similarities based on Nutrition Facts panels, our metabolomics analysis found that metabolite abundances between the plant-based meat alternative and grass-fed ground beef differed by 90% (171 out of 190 profiled metabolites; false discovery rate adjusted p < 0.05). Several metabolites were found either exclusively (22 metabolites) or in greater quantities in beef (51 metabolites) (all, p < 0.05). Nutrients such as docosahexaenoic acid (ω-3), niacinamide (vitamin B3), glucosamine, hydroxyproline and the anti-oxidants allantoin, anserine, cysteamine, spermine, and squalene were amongst those only found in beef. Several other metabolites were found exclusively (31 metabolites) or in greater quantities (67 metabolites) in the plant-based meat alternative (all, p < 0.05). Ascorbate (vitamin C), phytosterols, and several phenolic anti-oxidants such as loganin, sulfurol, syringic acid, tyrosol, and vanillic acid were amongst those only found in the plant-based meat alternative. Large differences in metabolites within various nutrient classes (e.g., amino acids, dipeptides, vitamins, phenols, tocopherols, and fatty acids) with physiological, anti-inflammatory, and/or immunomodulatory roles indicate that these products should not be viewed as truly nutritionally interchangeable, but could be viewed as complementary in terms of provided nutrients. The new information we provide is important for making informed decisions by consumers and health professionals. It cannot be determined from our data if either source is healthier to consume.
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Affiliation(s)
- Stephan van Vliet
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA.
| | - James R Bain
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | | | - Scott L Kronberg
- Northern Great Plains Research Laboratory, USDA-Agricultural Research Service, Mandan, ND, USA
| | - Carl F Pieper
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Kim M Huffman
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
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25
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Walejko JM, Christopher BA, Crown SB, Zhang GF, Pickar-Oliver A, Yoneshiro T, Foster MW, Page S, van Vliet S, Ilkayeva O, Muehlbauer MJ, Carson MW, Brozinick JT, Hammond CD, Gimeno RE, Moseley MA, Kajimura S, Gersbach CA, Newgard CB, White PJ, McGarrah RW. Branched-chain α-ketoacids are preferentially reaminated and activate protein synthesis in the heart. Nat Commun 2021; 12:1680. [PMID: 33723250 PMCID: PMC7960706 DOI: 10.1038/s41467-021-21962-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2020] [Accepted: 02/18/2021] [Indexed: 12/20/2022] Open
Abstract
Branched-chain amino acids (BCAA) and their cognate α-ketoacids (BCKA) are elevated in an array of cardiometabolic diseases. Here we demonstrate that the major metabolic fate of uniformly-13C-labeled α-ketoisovalerate ([U-13C]KIV) in the heart is reamination to valine. Activation of cardiac branched-chain α-ketoacid dehydrogenase (BCKDH) by treatment with the BCKDH kinase inhibitor, BT2, does not impede the strong flux of [U-13C]KIV to valine. Sequestration of BCAA and BCKA away from mitochondrial oxidation is likely due to low levels of expression of the mitochondrial BCAA transporter SLC25A44 in the heart, as its overexpression significantly lowers accumulation of [13C]-labeled valine from [U-13C]KIV. Finally, exposure of perfused hearts to levels of BCKA found in obese rats increases phosphorylation of the translational repressor 4E-BP1 as well as multiple proteins in the MEK-ERK pathway, leading to a doubling of total protein synthesis. These data suggest that elevated BCKA levels found in obesity may contribute to pathologic cardiac hypertrophy via chronic activation of protein synthesis. Systemic modulation of branched-chain keto acid (BCKA) metabolism alters cardiac health. Here, the authors define the major fates of BCKA in the heart and demonstrate that acute exposure to BCKA levels found in obesity activates cardiac protein synthesis and markedly alters the heart phosphoproteome.
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Affiliation(s)
- Jacquelyn M Walejko
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Bridgette A Christopher
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.,Department of Medicine, Division of Cardiology, Duke University School of Medicine, Durham, NC, USA
| | - Scott B Crown
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Guo-Fang Zhang
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.,Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC, USA.,Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, NC, USA
| | - Adrian Pickar-Oliver
- Department of Biomedical Engineering, Duke University, Durham, NC, USA.,Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA
| | | | - Matthew W Foster
- Duke Proteomics and Metabolomics Shared Resource, Duke University School of Medicine, Durham, NC, USA
| | - Stephani Page
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Stephan van Vliet
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.,Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC, USA.,Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.,Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, NC, USA
| | | | | | | | | | - M Arthur Moseley
- Duke Proteomics and Metabolomics Shared Resource, Duke University School of Medicine, Durham, NC, USA
| | | | - Charles A Gersbach
- Department of Biomedical Engineering, Duke University, Durham, NC, USA.,Center for Advanced Genomic Technologies, Duke University, Durham, NC, USA.,Department of Surgery, Duke University School of Medicine, Durham, NC, USA
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA.,Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC, USA.,Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, NC, USA.,Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA
| | - Phillip J White
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA. .,Department of Medicine, Division of Endocrinology, Metabolism and Nutrition, Duke University School of Medicine, Durham, NC, USA. .,Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, NC, USA. .,Department of Pharmacology and Cancer Biology, Duke University, Durham, NC, USA.
| | - Robert W McGarrah
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA. .,Department of Medicine, Division of Cardiology, Duke University School of Medicine, Durham, NC, USA. .,Sarah W. Stedman Nutrition and Metabolism Center, Duke University School of Medicine, Durham, NC, USA.
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26
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Alcazar O, Hernandez LF, Nakayasu ES, Nicora CD, Ansong C, Muehlbauer MJ, Bain JR, Myer CJ, Bhattacharya SK, Buchwald P, Abdulreda MH. Parallel Multi-Omics in High-Risk Subjects for the Identification of Integrated Biomarker Signatures of Type 1 Diabetes. Biomolecules 2021; 11:biom11030383. [PMID: 33806609 PMCID: PMC7999903 DOI: 10.3390/biom11030383] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 02/26/2021] [Accepted: 03/02/2021] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Biomarkers are crucial for detecting early type-1 diabetes (T1D) and preventing significant β-cell loss before the onset of clinical symptoms. Here, we present proof-of-concept studies to demonstrate the potential for identifying integrated biomarker signature(s) of T1D using parallel multi-omics. METHODS Blood from human subjects at high risk for T1D (and healthy controls; n = 4 + 4) was subjected to parallel unlabeled proteomics, metabolomics, lipidomics, and transcriptomics. The integrated dataset was analyzed using Ingenuity Pathway Analysis (IPA) software for disturbances in the at-risk subjects compared to controls. RESULTS The final quadra-omics dataset contained 2292 proteins, 328 miRNAs, 75 metabolites, and 41 lipids that were detected in all samples without exception. Disease/function enrichment analyses consistently indicated increased activation, proliferation, and migration of CD4 T-lymphocytes and macrophages. Integrated molecular network predictions highlighted central involvement and activation of NF-κB, TGF-β, VEGF, arachidonic acid, and arginase, and inhibition of miRNA Let-7a-5p. IPA-predicted candidate biomarkers were used to construct a putative integrated signature containing several miRNAs and metabolite/lipid features in the at-risk subjects. CONCLUSIONS Preliminary parallel quadra-omics provided a comprehensive picture of disturbances in high-risk T1D subjects and highlighted the potential for identifying associated integrated biomarker signatures. With further development and validation in larger cohorts, parallel multi-omics could ultimately facilitate the classification of T1D progressors from non-progressors.
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Affiliation(s)
- Oscar Alcazar
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (O.A.); (L.F.H.)
| | - Luis F. Hernandez
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (O.A.); (L.F.H.)
| | - Ernesto S. Nakayasu
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (E.S.N.); (C.D.N.); (C.A.)
| | - Carrie D. Nicora
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (E.S.N.); (C.D.N.); (C.A.)
| | - Charles Ansong
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA 99354, USA; (E.S.N.); (C.D.N.); (C.A.)
| | - Michael J. Muehlbauer
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA; (M.J.M.); (J.R.B.)
| | - James R. Bain
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC 27701, USA; (M.J.M.); (J.R.B.)
| | - Ciara J. Myer
- Department of Ophthalmology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (C.J.M.); (S.K.B.)
- Miami Integrative Metabolomics Research Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Sanjoy K. Bhattacharya
- Department of Ophthalmology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (C.J.M.); (S.K.B.)
- Miami Integrative Metabolomics Research Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Peter Buchwald
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (O.A.); (L.F.H.)
- Department of Molecular and Cellular Pharmacology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
- Correspondence: (P.B.); (M.H.A.)
| | - Midhat H. Abdulreda
- Diabetes Research Institute, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (O.A.); (L.F.H.)
- Department of Ophthalmology, University of Miami Miller School of Medicine, Miami, FL 33136, USA; (C.J.M.); (S.K.B.)
- Department of Surgery, University of Miami Miller School of Medicine, Miami, FL 33136, USA
- Department of Microbiology and Immunology, University of Miami Miller School of Medicine, Miami, FL 33136, USA
- Correspondence: (P.B.); (M.H.A.)
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27
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Kwee LC, Ilkayeva O, Muehlbauer MJ, Bihlmeyer N, Wolfe B, Purnell JQ, Xavier Pi-Sunyer F, Chen H, Bahnson J, Newgard CB, Shah SH, Laferrère B. Metabolites and diabetes remission after weight loss. Nutr Diabetes 2021; 11:10. [PMID: 33627633 PMCID: PMC7904757 DOI: 10.1038/s41387-021-00151-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [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: 09/15/2020] [Revised: 12/01/2020] [Accepted: 01/04/2021] [Indexed: 12/16/2022] Open
Abstract
There is marked heterogeneity in the response to weight loss interventions with regards to weight loss amount and metabolic improvement. We sought to identify biomarkers predictive of type 2 diabetes remission and amount of weight loss in individuals with severe obesity enrolled in the Longitudinal Assessment of Bariatric Surgery (LABS) and the Look AHEAD (Action for Health in Diabetes) studies. Targeted mass spectrometry-based profiling of 135 metabolites was performed in pre-intervention blood samples using a nested design for diabetes remission over five years (n = 93 LABS, n = 80 Look AHEAD; n = 87 remitters), and for extremes of weight loss at five years (n = 151 LABS; n = 75 with high weight loss). Principal components analysis (PCA) was used for dimensionality reduction, with PCA-derived metabolite factors tested for association with both diabetes remission and weight loss. Metabolic markers were tested for incremental improvement to clinical models, including the DiaRem score. Two metabolite factors were associated with diabetes remission: one primarily composed of branched chain amino acids (BCAA) and tyrosine (odds ratio (95% confidence interval) [OR (95% CI)] = 1.4 [1.0–1.9], p = 0.045), and one with betaine and choline (OR [95% CI] = 0.7 [0.5–0.9], p = 0.02).These results were not significant after adjustment for multiple tests. Inclusion of these two factors in clinical models yielded modest improvements in model fit and performance: in a constructed clinical model, the C-statistic improved from 0.87 to 0.90 (p = 0.02), while the net reclassification index showed improvement in prediction compared to the DiaRem score (NRI = 0.26, p = 0.0013). No metabolite factors associated with weight loss at five years. Baseline levels of metabolites in the BCAA and trimethylamine-N-oxide (TMAO)-microbiome-related pathways are independently and incrementally associated with sustained diabetes remission after weight loss interventions in individuals with severe obesity. These metabolites could serve as clinically useful biomarkers to identify individuals who will benefit the most from weight loss interventions.
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Affiliation(s)
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, NC, USA.,Sarah W. Stedman Nutrition and Metabolism Center, Durham, NC, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Durham, NC, USA.,Sarah W. Stedman Nutrition and Metabolism Center, Durham, NC, USA
| | | | - Bruce Wolfe
- Departments of Surgery and Medicine, Oregon Health & Science University,, Portland, OR, USA
| | - Jonathan Q Purnell
- Departments of Surgery and Medicine, Oregon Health & Science University,, Portland, OR, USA
| | - F Xavier Pi-Sunyer
- New York Obesity Research Center, Division of Endocrinology, Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA
| | - Haiying Chen
- Department of Biostatistics and Data Science, Wake Forest School of Medicine Medical Center, Winston-Salem, NC, USA
| | - Judy Bahnson
- Department of Biostatistics and Data Science, Wake Forest School of Medicine Medical Center, Winston-Salem, NC, USA
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, Durham, NC, USA.,Sarah W. Stedman Nutrition and Metabolism Center, Durham, NC, USA.,Department of Pharmacology & Cancer Biology and Division of Endocrinology, Department of Medicine, Duke University, Durham, DC, USA
| | - Svati H Shah
- Duke Molecular Physiology Institute, Durham, NC, USA.,Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, DC, USA
| | - Blandine Laferrère
- New York Obesity Research Center, Division of Endocrinology, Department of Medicine, Columbia University College of Physicians and Surgeons, New York, NY, USA.
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Enriquez-Hesles E, Smith DL, Maqani N, Wierman MB, Sutcliffe MD, Fine RD, Kalita A, Santos SM, Muehlbauer MJ, Bain JR, Janes KA, Hartman JL, Hirschey MD, Smith JS. A cell-nonautonomous mechanism of yeast chronological aging regulated by caloric restriction and one-carbon metabolism. J Biol Chem 2021; 296:100125. [PMID: 33243834 PMCID: PMC7949035 DOI: 10.1074/jbc.ra120.015402] [Citation(s) in RCA: 9] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 10/26/2020] [Accepted: 11/25/2020] [Indexed: 12/30/2022] Open
Abstract
Caloric restriction (CR) improves health span and life span of organisms ranging from yeast to mammals. Understanding the mechanisms involved will uncover future interventions for aging-associated diseases. In budding yeast, Saccharomyces cerevisiae, CR is commonly defined by reduced glucose in the growth medium, which extends both replicative and chronological life span (CLS). We found that conditioned media collected from stationary-phase CR cultures extended CLS when supplemented into nonrestricted (NR) cultures, suggesting a potential cell-nonautonomous mechanism of CR-induced life span regulation. Chromatography and untargeted metabolomics of the conditioned media, as well as transcriptional responses associated with the longevity effect, pointed to specific amino acids enriched in the CR conditioned media (CRCM) as functional molecules, with L-serine being a particularly strong candidate. Indeed, supplementing L-serine into NR cultures extended CLS through a mechanism dependent on the one-carbon metabolism pathway, thus implicating this conserved and central metabolic hub in life span regulation.
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Affiliation(s)
- Elisa Enriquez-Hesles
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Daniel L Smith
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA; Department of Nutrition Science, Nathan Shock Center of Excellence in the Basic Biology of Aging, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Nazif Maqani
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Margaret B Wierman
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Matthew D Sutcliffe
- Department of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Ryan D Fine
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Agata Kalita
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - Sean M Santos
- Department of Genetics, Nutrition and Obesity Research Center, Nathan Shock Center of Excellence in the Basic Biology of Aging, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Michael J Muehlbauer
- Department of Medicine, Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - James R Bain
- Department of Medicine, Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Kevin A Janes
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA; Department of Biomedical Engineering, University of Virginia School of Medicine, Charlottesville, Virginia, USA
| | - John L Hartman
- Department of Genetics, Nutrition and Obesity Research Center, Nathan Shock Center of Excellence in the Basic Biology of Aging, University of Alabama at Birmingham, Birmingham, Alabama, USA
| | - Matthew D Hirschey
- Department of Medicine, Duke Molecular Physiology Institute, Duke University, Durham, North Carolina, USA
| | - Jeffrey S Smith
- Department of Biochemistry and Molecular Genetics, University of Virginia School of Medicine, Charlottesville, Virginia, USA.
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Smith-Ryan AE, Blue MN, Anderson KC, Hirsch KR, Allen KD, Huebner JL, Muehlbauer MJ, Ilkayeva OR, Kraus VB, Kraus WE, Golightly YM, Huffman KM. Metabolic and physiological effects of high intensity interval training in patients with knee osteoarthritis: A pilot and feasibility study. Osteoarthritis and Cartilage Open 2020; 2:100083. [DOI: 10.1016/j.ocarto.2020.100083] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Accepted: 06/03/2020] [Indexed: 12/19/2022] Open
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30
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Liu Y, Kuang A, Talbot O, Bain JR, Muehlbauer MJ, Hayes MG, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, Lowe WL. Metabolomic and genetic associations with insulin resistance in pregnancy. Diabetologia 2020; 63:1783-1795. [PMID: 32556615 PMCID: PMC7416451 DOI: 10.1007/s00125-020-05198-1] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2020] [Accepted: 05/01/2020] [Indexed: 12/13/2022]
Abstract
AIMS/HYPOTHESIS Our study aimed to integrate maternal metabolic and genetic data related to insulin sensitivity during pregnancy to provide novel insights into mechanisms underlying pregnancy-induced insulin resistance. METHODS Fasting and 1 h serum samples were collected from women in the Hyperglycemia and Adverse Pregnancy Outcome study who underwent an OGTT at ∼28 weeks' gestation. We obtained targeted and non-targeted metabolomics and genome-wide association data from 1600 and 4528 mothers, respectively, in four ancestry groups (Northern European, Afro-Caribbean, Mexican American and Thai); 1412 of the women had both metabolomics and genome-wide association data. Insulin sensitivity was calculated using a modified insulin sensitivity index that included fasting and 1 h glucose and C-peptide levels after a 75 g glucose load. RESULTS Per-metabolite and network analyses across the four ancestries identified numerous metabolites associated with maternal insulin sensitivity before and 1 h after a glucose load, ranging from amino acids and carbohydrates to fatty acids and lipids. Genome-wide association analyses identified 12 genetic variants in the glucokinase regulatory protein gene locus that were significantly associated with maternal insulin sensitivity, including a common functional missense mutation, rs1260326 (β = -0.2004, p = 4.67 × 10-12 in a meta-analysis across the four ancestries). This SNP was also significantly associated with multiple fasting and 1 h metabolites during pregnancy, including fasting and 1 h triacylglycerols and 2-hydroxybutyrate and 1 h lactate, 2-ketoleucine/ketoisoleucine and palmitoleic acid. Mediation analysis suggested that 1 h palmitoleic acid contributes, in part, to the association of rs1260326 with maternal insulin sensitivity, explaining 13.7% (95% CI 4.0%, 23.3%) of the total effect. CONCLUSIONS/INTERPRETATION The present study demonstrates commonalities between metabolites and genetic variants associated with insulin sensitivity in the gravid and non-gravid states and provides insights into mechanisms underlying pregnancy-induced insulin resistance. Graphical abstract.
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Affiliation(s)
- Yu Liu
- Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA
- Department of Endocrinology, South Campus, Renji Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Alan Kuang
- Department of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - Octavious Talbot
- Department of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
| | - M Geoffrey Hayes
- Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA
| | - Olga R Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
| | - Lynn P Lowe
- Department of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA
| | - Boyd E Metzger
- Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Department of Medicine, Duke University School of Medicine, Durham, NC, USA
| | - Denise M Scholtens
- Department of Preventive Medicine (Biostatistics), Northwestern University Feinberg School of Medicine, 680 N. Lake Shore Drive, Suite 1400, Chicago, IL, 60611, USA.
| | - William L Lowe
- Department of Medicine, Northwestern University Feinberg School of Medicine, Rubloff 12, 420 E. Superior St, Chicago, IL, 60611, USA.
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31
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Sanford JA, Nogiec CD, Lindholm ME, Adkins JN, Amar D, Dasari S, Drugan JK, Fernández FM, Radom-Aizik S, Schenk S, Snyder MP, Tracy RP, Vanderboom P, Trappe S, Walsh MJ, Adkins JN, Amar D, Dasari S, Drugan JK, Evans CR, Fernandez FM, Li Y, Lindholm ME, Nogiec CD, Radom-Aizik S, Sanford JA, Schenk S, Snyder MP, Tomlinson L, Tracy RP, Trappe S, Vanderboom P, Walsh MJ, Lee Alekel D, Bekirov I, Boyce AT, Boyington J, Fleg JL, Joseph LJ, Laughlin MR, Maruvada P, Morris SA, McGowan JA, Nierras C, Pai V, Peterson C, Ramos E, Roary MC, Williams JP, Xia A, Cornell E, Rooney J, Miller ME, Ambrosius WT, Rushing S, Stowe CL, Jack Rejeski W, Nicklas BJ, Pahor M, Lu CJ, Trappe T, Chambers T, Raue U, Lester B, Bergman BC, Bessesen DH, Jankowski CM, Kohrt WM, Melanson EL, Moreau KL, Schauer IE, Schwartz RS, Kraus WE, Slentz CA, Huffman KM, Johnson JL, Willis LH, Kelly L, Houmard JA, Dubis G, Broskey N, Goodpaster BH, Sparks LM, Coen PM, Cooper DM, Haddad F, Rankinen T, Ravussin E, Johannsen N, Harris M, Jakicic JM, Newman AB, Forman DD, Kershaw E, Rogers RJ, Nindl BC, Page LC, Stefanovic-Racic M, Barr SL, Rasmussen BB, Moro T, Paddon-Jones D, Volpi E, Spratt H, Musi N, Espinoza S, Patel D, Serra M, Gelfond J, Burns A, Bamman MM, Buford TW, Cutter GR, Bodine SC, Esser K, Farrar RP, Goodyear LJ, Hirshman MF, Albertson BG, Qian WJ, Piehowski P, Gritsenko MA, Monore ME, Petyuk VA, McDermott JE, Hansen JN, Hutchison C, Moore S, Gaul DA, Clish CB, Avila-Pacheco J, Dennis C, Kellis M, Carr S, Jean-Beltran PM, Keshishian H, Mani D, Clauser K, Krug K, Mundorff C, Pearce C, Ivanova AA, Ortlund EA, Maner-Smith K, Uppal K, Zhang T, Sealfon SC, Zaslavsky E, Nair V, Li S, Jain N, Ge Y, Sun Y, Nudelman G, Ruf-zamojski F, Smith G, Pincas N, Rubenstein A, Anne Amper M, Seenarine N, Lappalainen T, Lanza IR, Sreekumaran Nair K, Klaus K, Montgomery SB, Smith KS, Gay NR, Zhao B, Hung CJ, Zebarjadi N, Balliu B, Fresard L, Burant CF, Li JZ, Kachman M, Soni T, Raskind AB, Gerszten R, Robbins J, Ilkayeva O, Muehlbauer MJ, Newgard CB, Ashley EA, Wheeler MT, Jimenez-Morales D, Raja A, Dalton KP, Zhen J, Suk Kim Y, Christle JW, Marwaha S, Chin ET, Hershman SG, Hastie T, Tibshirani R, Rivas MA. Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise. Cell 2020; 181:1464-1474. [DOI: 10.1016/j.cell.2020.06.004] [Citation(s) in RCA: 52] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 05/19/2020] [Accepted: 06/01/2020] [Indexed: 12/31/2022]
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Bartlett DB, Slentz CA, Willis LH, Hoselton A, Huebner JL, Kraus VB, Moss J, Muehlbauer MJ, Spielmann G, Muoio DM, Koves TR, Wu H, Huffman KM, Lord JM, Kraus WE. Rejuvenation of Neutrophil Functions in Association With Reduced Diabetes Risk Following Ten Weeks of Low-Volume High Intensity Interval Walking in Older Adults With Prediabetes - A Pilot Study. Front Immunol 2020; 11:729. [PMID: 32431698 PMCID: PMC7214668 DOI: 10.3389/fimmu.2020.00729] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Accepted: 03/31/2020] [Indexed: 12/19/2022] Open
Abstract
Neutrophil dysfunction is a common feature of aging, and is associated with the pathogenesis of many age-related diseases, including type 2 diabetes mellitus (T2DM). Although exercise training improves metabolic health, decreases risk of T2DM, and is associated with improving neutrophil functions, involvement in regular physical activity declines with age. The aim of this study was to determine if neutrophil functions could be improved in association with changes in fitness and metabolic parameters in older adults at risk for T2DM using 10-weeks of low volume high-intensity interval exercise training (HIIT). Ten older (71 ± 5 years) sedentary adults with prediabetes (HbA1c: 6.1 ± 0.3%) completed 10 weeks of a supervised HIIT program. Three 30 min sessions/week consisted of ten 60 s intervals of low intensity [50–60% heart rate reserve (HRR)] separated with similar durations of high intensity intervals (80–90% HRR). Before and after training, glucose and insulin sensitivity, neutrophil chemotaxis, bacterial phagocytosis, reactive oxygen species (ROS) production, and mitochondrial functions were assessed. Exercise-mediated changes in cardiorespiratory fitness (VO2peak) and neutrophil functions were compared to six young (23 ± 1 years) healthy adults. Following training, significant reductions in fasting glucose and insulin were accompanied by improved glucose control and insulin sensitivity (all p < 0.05). Before exercise training, VO2peak in the old participants was significantly less than that of the young controls (p < 0.001), but increased by 16 ± 11% following training (p = 0.002) resulting in a 6% improvement of the deficit. Neutrophil chemotaxis, phagocytosis and stimulated ROS production were significantly less than that of the young controls, while basal ROS were higher before training (all p < 0.05). Following training, chemotaxis, phagocytosis and stimulated ROS increased while basal ROS decreased, similar to levels observed in the young controls (all p < 0.05) and reducing the deficit of the young controls between 2 and 154%. In five of the adults with prediabetes, neutrophil mitochondrial functions were significantly poorer than the six young controls before training. Following training, mitochondrial functions improved toward those observed in young controls (all p < 0.05), reducing the deficit of the young controls between 14.3 and 451%. Ten weeks of HIIT in older adults at risk for T2DM reduced disease risk accompanied by improved primary and bioenergetic neutrophil functions. Our results are consistent with a reduced risk of infections mediated by relationships in exercise induced systemic and cellular metabolic features. Clinical Trial Registration:www.ClinicalTrials.gov, identifier NCT02441205, registered on May 12th, 2015.
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Affiliation(s)
- David B Bartlett
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States.,Division of Medical Oncology, School of Medicine, Duke University, Durham, NC, United States.,MRC-ARUK Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom
| | - Cris A Slentz
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Leslie H Willis
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Andrew Hoselton
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Janet L Huebner
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Virginia B Kraus
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Jennifer Moss
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Guillaume Spielmann
- Department of Kinesiology, Louisiana State University, Baton Rouge, LA, United States
| | - Deborah M Muoio
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Timothy R Koves
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Helena Wu
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Kim M Huffman
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
| | - Janet M Lord
- MRC-ARUK Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, United Kingdom.,NIHR Birmingham BRC in Inflammation, University Hospitals Birmingham, Birmingham, United Kingdom
| | - William E Kraus
- Duke Molecular Physiology Institute, School of Medicine, Duke University, Durham, NC, United States
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Baugh ME, Ilkayeva OR, Bain JR, Muehlbauer MJ, Marron MM, Newman AB, Farsijani S, Kritchevsky S. ALTERATIONS IN TARGETED METABOLOMICS PRIOR TO UNINTENTIONAL WEIGHT LOSS IN OLDER ADULTS. Innov Aging 2019. [PMCID: PMC6844844 DOI: 10.1093/geroni/igz038.3415] [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] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
In older adults, unintentional weight loss (UWL) is associated with poor outcomes, but its pathophysiology remains poorly understood. We sought to identify potential biomarkers of UWL using targeted metabolomics, including 8 conventional metabolites, 45 acylcarnitines, and 15 amino acids. We identified individuals from the Cardiovascular Health Study All Stars with UWL (n=40) or weight stability (WS; n=40) from Years 9 to 11. Participants had WS through Year 8. UWL was defined as experiencing >6% weight loss from Years 9 to 11 and self-reporting that loss as unintentional. Mean plasma metabolite concentrations measured in Year 9 were compared between individuals with UWL or WS between Years 9 and 11. The strongest signals in metabolomic differences between individuals going on to experience UWL versus WS were observed among the branched-chain amino acids, valine (236.54 ± 54.43 vs. 215.79 ± 32.69 μM, 95%CI: -40.81, -0.70) and isoleucine/leucine (159.09 ± 36.53 vs. 142.75 ± 23.78 μM, 95%CI:-30.10, -2.59); lactate (1.23 ± 0.44 vs. 1.00 ± 0.57 μM, 95%CI: -0.45, -0.001); histidine (35.69 ± 5.33 vs. 38.62 ± 4.86 μM, 95%CI: 0.65, 5.20); the medium-chain acylcarnitine octenoyl carnitine (C8:1) (0.23 ± 0.10 vs. 0.29 ± 0.14 μM, 95%CI: 0.01, 0.12); and long-chain acylcarnitine myristoyl carnitine (C14) (0.04 ± 0.01 vs. 0.03 ± 0.01 μM, 95%CI: -0.01, -0.002). These findings suggest altered branched-chain amino acid and fatty acid metabolism and increased oxidative stress and inflammation may be evident before individuals undergo UWL. Further investigation of these pathways may reveal novel preventive or treatment strategies for UWL.
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Affiliation(s)
| | - Olga R Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Durham, North Carolina, United States
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Durham, North Carolina, United States
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Durham, North Carolina, United States
| | - Megan M Marron
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | - Anne B Newman
- University of Pittsburgh, Pittsburgh, Pennsylvania, United States
| | | | - Stephen Kritchevsky
- Wake Forest School of Medicine, Winston-Salem, North Carolina, United States
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34
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Kadakia R, Talbot O, Kuang A, Bain JR, Muehlbauer MJ, Stevens RD, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, Lowe WL. Cord Blood Metabolomics: Association With Newborn Anthropometrics and C-Peptide Across Ancestries. J Clin Endocrinol Metab 2019; 104:4459-4472. [PMID: 31498869 PMCID: PMC6735762 DOI: 10.1210/jc.2019-00238] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [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: 01/30/2019] [Accepted: 06/28/2019] [Indexed: 12/18/2022]
Abstract
CONTEXT Newborn adiposity is associated with childhood obesity. Cord blood metabolomics is one approach that can be used to understand early-life contributors to adiposity and insulin resistance. OBJECTIVE To determine the association of cord blood metabolites with newborn adiposity and hyperinsulinemia in a multiethnic cohort of newborns. DESIGN Cross-sectional, observational study. SETTING Hyperglycemia and Adverse Pregnancy Outcome study. PARTICIPANTS One thousand six hundred multiethnic mother-newborn pairs. MAIN OUTCOME MEASURE Cord blood C-peptide, birthweight, and newborn sum of skinfolds. RESULTS Meta-analyses across four ancestry groups (Afro-Caribbean, Northern European, Thai, and Mexican American) demonstrated significant associations of cord blood metabolites with cord blood C-peptide, birthweight, and newborn sum of skinfolds. Several metabolites, including branched-chain amino acids (BCAAs), medium- and long-chain acylcarnitines, nonesterified fatty acids, and triglycerides were negatively associated with cord C-peptide but positively associated with birthweight and/or sum of skinfolds. 1,5-Anhydroglucitol, an inverse marker of recent maternal glycemia, was significantly inversely associated with birthweight and sum of skinfolds. Network analyses revealed groups of interrelated amino acid, acylcarnitine, and fatty acid metabolites associated with all three newborn outcomes. CONCLUSIONS Cord blood metabolites are associated with newborn size and cord blood C-peptide levels after adjustment for maternal body mass index and glucose during pregnancy. Negative associations of metabolites with C-peptide at birth were observed. 1,5-Anhydroglucitol appears to be a marker of adiposity in newborns. BCAAs were individually associated with birthweight and demonstrated possible associations with newborn adiposity in network analyses.
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Affiliation(s)
- Rachel Kadakia
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
- Ann and Robert H. Lurie Children’s Hospital of Chicago, Chicago, Illinois
- Correspondence and Reprint Requests: William L. Lowe, Jr., MD, Feinberg School of Medicine, Northwestern University, Rubloff Building, 12th Floor, 420 East Superior Street, Chicago, Ilinois 60611.
| | - Octavious Talbot
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Alan Kuang
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Robert D Stevens
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Olga R Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | - Lynn P Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Boyd E Metzger
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, North Carolina
- Duke Molecular Physiology Institute, Durham, North Carolina
- Duke University School of Medicine, Durham, North Carolina
| | | | - William L Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, Illinois
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Ilaiwy A, Ten Have GAM, Bain JR, Muehlbauer MJ, O'Neal SK, Berthiaume JM, Parry TL, Deutz NE, Willis MS. Identification of Metabolic Changes in Ileum, Jejunum, Skeletal Muscle, Liver, and Lung in a Continuous I.V. Pseudomonas aeruginosa Model of Sepsis Using Nontargeted Metabolomics Analysis. Am J Pathol 2019; 189:1797-1813. [PMID: 31439155 PMCID: PMC6723233 DOI: 10.1016/j.ajpath.2019.05.021] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2018] [Revised: 04/26/2019] [Accepted: 05/23/2019] [Indexed: 02/06/2023]
Abstract
Sepsis is a multiorgan disease affecting the ileum and jejunum (small intestine), liver, skeletal muscle, and lung clinically. The specific metabolic changes in the ileum, jejunum, liver, skeletal muscle, and lung have not previously been investigated. Live Pseudomonas aeruginosa, isolated from a patient, was given via i.v. catheter to pigs to induce severe sepsis. Eighteen hours later, ileum, jejunum, medial gastrocnemius skeletal muscle, liver, and lung were analyzed by nontargeted metabolomics analysis using gas chromatography/mass spectrometry. The ileum and the liver demonstrated significant changes in metabolites involved in linoleic acid metabolism: the ileum and lung had significant changes in the metabolism of valine/leucine/isoleucine; the jejunum, skeletal muscle, and liver had significant changes in arginine/proline metabolism; and the skeletal muscle and lung had significant changes in aminoacyl-tRNA biosynthesis, as analyzed by pathway analysis. Pathway analysis also identified changes in metabolic pathways unique for different tissues, including changes in the citric acid cycle (jejunum), β-alanine metabolism (skeletal muscle), and purine metabolism (liver). These findings demonstrate both overlapping metabolic pathways affected in different tissues and those that are unique to others and provide insight into the metabolic changes in sepsis leading to organ dysfunction. This may allow therapeutic interventions that focus on multiple tissues or single tissues once the relationship of the altered metabolites/metabolism to the underlying pathogenesis of sepsis is determined.
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Affiliation(s)
- Amro Ilaiwy
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina; Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Gabriella A M Ten Have
- Center for Translational Research in Aging and Longevity, Department of Health and Kinesiology, Texas A&M University, College Station, Texas
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina; Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University Medical Center, Durham, North Carolina
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - Sara K O'Neal
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, North Carolina
| | - Jessica M Berthiaume
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Traci L Parry
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana
| | - Nicolaas E Deutz
- Center for Translational Research in Aging and Longevity, Department of Health and Kinesiology, Texas A&M University, College Station, Texas
| | - Monte S Willis
- Department of Pathology and Laboratory Medicine, Indiana University School of Medicine, Indianapolis, Indiana; Krannert Institute of Cardiology, Indiana University School of Medicine, Indianapolis, Indiana; Indiana Center for Musculoskeletal Health, Indiana University School of Medicine, Indianapolis, Indiana.
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Chen Z, Newgard CB, Kim JS, IIkayeva O, Alderete TL, Thomas DC, Berhane K, Breton C, Chatzi L, Bastain TM, McConnell R, Avol E, Lurmann F, Muehlbauer MJ, Hauser ER, Gilliland FD. Near-roadway air pollution exposure and altered fatty acid oxidation among adolescents and young adults - The interplay with obesity. Environ Int 2019; 130:104935. [PMID: 31238265 PMCID: PMC6679991 DOI: 10.1016/j.envint.2019.104935] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [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: 04/12/2019] [Revised: 06/06/2019] [Accepted: 06/14/2019] [Indexed: 05/22/2023]
Abstract
BACKGROUND Air pollution exposure has been shown to increase the risk of obesity and metabolic dysfunction in animal models and human studies. However, the metabolic pathways altered by air pollution exposure are unclear, especially in adolescents and young adults who are at a critical period in the development of cardio-metabolic diseases. OBJECTIVES The aim of this study was to examine the associations between air pollution exposure and indices of fatty acid and amino acid metabolism. METHODS A total of 173 young adults (18-23 years) from eight Children's Health Study (CHS) Southern California communities were examined from 2014 to 2018. Near-roadway air pollution (NRAP) exposure (freeway and non-freeway) and regional air pollution exposure (nitrogen dioxide, ozone and particulate matter) during one year before the study visit were estimated based on participants' residential addresses. Serum concentrations of 64 targeted metabolites including amino acids, acylcarnitines, non-esterified fatty acid (NEFA) and glycerol were measured in fasting serum samples. Principal component analysis of metabolites was performed to identify metabolite clusters that represent key metabolic pathways. Mixed effects models were used to analyze the associations of air pollution exposure with metabolomic principal component (PC) scores and individual metabolite concentrations adjusting for potential confounders. RESULTS Higher lagged one-year averaged non-freeway NRAP exposure was associated with higher concentrations of NEFA oxidation byproducts and higher NEFA-related PC score (all p's ≤ 0.038). The effect sizes were larger among obese individuals (interaction p = 0.047). Among females, higher freeway NRAP exposure was also associated with a higher NEFA-related PC score (p = 0.042). Among all participants, higher freeway NRAP exposure was associated with a lower PC score for lower concentrations of short- and median-chain acylcarnitines (p = 0.044). CONCLUSIONS Results of this study indicate that NRAP exposure is associated with altered fatty acid metabolism, which could contribute to the metabolic perturbation in obese youth.
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Affiliation(s)
- Zhanghua Chen
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA.
| | - Christopher B Newgard
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Jeniffer S Kim
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Olga IIkayeva
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Tanya L Alderete
- Department of Integrative Physiology, University of Colorado at Boulder, Boulder, CO, USA
| | - Duncan C Thomas
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Kiros Berhane
- Division of Biostatistics, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Carrie Breton
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Leda Chatzi
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Theresa M Bastain
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Rob McConnell
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | - Edward Avol
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
| | | | - Michael J Muehlbauer
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Elizabeth R Hauser
- Duke Molecular Physiology Institute and Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center Durham, NC, USA
| | - Frank D Gilliland
- Division of Environmental Health, Department of Preventive Medicine, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA
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Wang H, Anstrom K, Ilkayeva O, Muehlbauer MJ, Bain JR, McNulty S, Newgard CB, Kraus WE, Hernandez A, Felker GM, Redfield M, Shah SH. Sildenafil Treatment in Heart Failure With Preserved Ejection Fraction: Targeted Metabolomic Profiling in the RELAX Trial. JAMA Cardiol 2019; 2:896-901. [PMID: 28492915 DOI: 10.1001/jamacardio.2017.1239] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [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] [Indexed: 12/19/2022]
Abstract
Importance Phosphodiesterase-5 inhibition with sildenafil compared with a placebo had no effect on the exercise capacity or clinical status of patients with heart failure with preserved ejection fraction (HFpEF) in the PhosphodiesteRasE-5 Inhibition to Improve Clinical Status and Exercise Capacity in Diastolic Heart Failure with Preserved Ejection Fraction (RELAX) clinical trial. Metabolic impairments may explain the neutral results. Objective To test the hypothesis that profiling metabolites in the RELAX trial would clarify the mechanisms of sildenafil effects and identify metabolites associated with clinical outcomes in HFpEF. Design, Setting, and Participants Paired baseline and 24-week plasma samples of 160 stable outpatient individuals with HFpEF enrolled in the RELAX clinical trial were analyzed using flow injection tandem mass spectrometry (60 metabolites) and conventional assays (5 metabolites). Interventions Sildenafil (n = 79) or a placebo (n = 81) administered orally at 20 mg, 3 times daily for 12 weeks, followed by 60 mg, 3 times daily for 12 weeks. Main Outcomes and Measures The primary measure was metabolite level changes between baseline and 24 weeks stratified by treatments. Secondary measures included correlations between metabolite level changes and clinical biomarkers and associations between baseline metabolite levels and the composite clinical score. Results No metabolites changed between baseline and 24 weeks in the group treated with a placebo; however, 7 metabolites changed in the group treated with sildenafil, including decreased amino acids (alanine and proline; median change [25th-75th], -38.26 [-100.3 to 28.19] and -28.24 [-56.29 to 12.08], respectively; false discovery rate-adjusted P = .01 and .03, respectively), and increased short-chain dicarboxylacylcarnitines glutaryl carnitine, octenedioyl carnitine, and adipoyl carnitine (median change, 6.19 [-3.37 to 14.18], 2.72 [-3 to 12.57], and 10.72 [-11.23 to 29.57], respectively; false discovery rate-adjusted P = .01, .04, and .05, respectively), and 1 long-chain acylcarnitine metabolite (palmitoyl carnitine; median change, 7.83 [-5.64 to 26.99]; false discovery rate-adjusted P = .03). The increases in long-chain acylarnitine metabolites and short-chain dicarboxylacylcarnitines correlated with increases in endothelin-1 and creatinine/cystatin C, respectively. Higher baseline levels of short-chain dicarboxylacylcarnitine metabolite 3-hydroxyisovalerylcarnitine/malonylcarnitine and asparagine/aspartic acid were associated with worse clinical rank scores in both treatment groups (β, -96.60, P = .001 and β, -0.02, P = .01; after renal adjustment, P = .09 and .02, respectively). Conclusions and Relevance Our study provides a potential mechanism for the effects of sildenafil that, through adverse effects on mitochondrial function and endoplasmic reticulum stress, could have contributed to the neutral trial results in RELAX. Short-chain dicarboxylacylcarnitine metabolites and asparagine/aspartic acid could serve as biomarkers associated with adverse clinical outcomes in HFpEF.
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Affiliation(s)
- Hanghang Wang
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Kevin Anstrom
- Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina.,Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - James R Bain
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Steven McNulty
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - William E Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina.,Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Adrian Hernandez
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.,Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - G Michael Felker
- Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.,Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | | | - Svati H Shah
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina.,Duke Clinical Research Institute, Duke University School of Medicine, Durham, North Carolina.,Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
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Irizarry KA, Mager DR, Triador L, Muehlbauer MJ, Haqq AM, Freemark M. Hormonal and metabolic effects of carbohydrate restriction in children with Prader-Willi syndrome. Clin Endocrinol (Oxf) 2019; 90:553-561. [PMID: 30614551 PMCID: PMC6805129 DOI: 10.1111/cen.13933] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [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: 07/06/2018] [Revised: 11/23/2018] [Accepted: 01/01/2019] [Indexed: 11/30/2022]
Abstract
OBJECTIVE Macronutrient regulation of hyperphagia and adiposity in Prader-Willi syndrome (PWS) is poorly understood. We compared fasting and postprandial concentrations of hormones and metabolites in eight PWS children (age 9-18 years) fed, in random order, low carbohydrate, high-fat (LC, 15% carb; 65% fat; 20% protein) and low-fat, high carbohydrate (LF, 65% carb, 15% fat, 20% protein) diets matched for calories and protein. METHODS Participants were randomized to consume either the LC or LF diet during a first hospital admission and the second diet during a subsequent admission. Blood samples were obtained after overnight fasting and 1 hour after a mixed meal. RESULTS Relative to subjects consuming the LF diet, subjects consuming the LC diet had: lower postprandial insulin concentrations (P = 0.02); higher fasting GLP-1 AND GIP concentrations and increased postprandial GLP-1 (P < 0.02); reduced ratio of fasting ghrelin to GLP-1 (P = 0.0078); increased FFA and fatty acid oxidation, as assessed by concentrations of even-chain acylcarnitines (P < 0.001); lower fasting TG and TG/HDL ratio (P < 0.01); and higher concentrations of branch chain amino acids (P < 0.01). There were no changes in glucose, PYY, or adiponectin. CRP, AST and ALT were all higher (P < 0.01) on the LC diet. CONCLUSIONS Increases in GLP-1 with low carbohydrate feeding and reductions in the ratio of ghrelin to GLP-1 might limit food intake and improve glycaemic control in PWS. Other potential benefits of carbohydrate restriction may include fat mobilization and oxidation and reductions in the TG/HDL ratio, a marker of insulin resistance. However, increases in CRP, AST and ALT necessitate longer-term studies of low carbohydrate efficacy and safety.
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Affiliation(s)
- Krystal A. Irizarry
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham NC
| | - Diana R. Mager
- Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Canada
| | - Lucila Triador
- Division of Pediatric Endocrinology, University of Alberta, Edmonton, Canada
| | | | - Andrea M. Haqq
- Division of Pediatric Endocrinology, University of Alberta, Edmonton, Canada
| | - Michael Freemark
- Division of Pediatric Endocrinology and Diabetes, Duke University Medical Center, Durham NC
- Duke Molecular Physiology Institute, Duke University Medical Center, Durham NC
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Kadakia R, Nodzenski M, Talbot O, Kuang A, Bain JR, Muehlbauer MJ, Stevens RD, Ilkayeva OR, O'Neal SK, Lowe LP, Metzger BE, Newgard CB, Scholtens DM, Lowe WL. Maternal metabolites during pregnancy are associated with newborn outcomes and hyperinsulinaemia across ancestries. Diabetologia 2019; 62:473-484. [PMID: 30483859 PMCID: PMC6374187 DOI: 10.1007/s00125-018-4781-1] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [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: 06/29/2018] [Accepted: 10/26/2018] [Indexed: 12/30/2022]
Abstract
AIMS/HYPOTHESIS We aimed to determine the association of maternal metabolites with newborn adiposity and hyperinsulinaemia in a multi-ethnic cohort of mother-newborn dyads. METHODS Targeted and non-targeted metabolomics assays were performed on fasting and 1 h serum samples from a total of 1600 mothers in four ancestry groups (Northern European, Afro-Caribbean, Mexican American and Thai) who participated in the Hyperglycemia and Adverse Pregnancy Outcome (HAPO) study, underwent an OGTT at ~28 weeks gestation and whose newborns had anthropometric measurements at birth. RESULTS In this observational study, meta-analyses demonstrated significant associations of maternal fasting and 1 h metabolites with birthweight, cord C-peptide and/or sum of skinfolds across ancestry groups. In particular, maternal fasting triacylglycerols were associated with newborn sum of skinfolds. At 1 h, several amino acids, fatty acids and lipid metabolites were associated with one or more newborn outcomes. Network analyses revealed clusters of fasting acylcarnitines, amino acids, lipids and fatty acid metabolites associated with cord C-peptide and sum of skinfolds, with the addition of branched-chain and aromatic amino acids at 1 h. CONCLUSIONS/INTERPRETATION The maternal metabolome during pregnancy is associated with newborn outcomes. Maternal levels of amino acids, acylcarnitines, lipids and fatty acids and their metabolites during pregnancy relate to fetal growth, adiposity and cord C-peptide, independent of maternal BMI and blood glucose levels.
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Affiliation(s)
- Rachel Kadakia
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
- Ann and Robert H. Lurie Children's Hospital of Chicago, 225 E Chicago Avenue, Box 54, Chicago, IL, 60611, USA.
| | - Michael Nodzenski
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Octavious Talbot
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Alan Kuang
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Robert D Stevens
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Olga R Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Sara K O'Neal
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | - Lynn P Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Boyd E Metzger
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke University Medical Center, Durham, NC, USA
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke University School of Medicine, Durham, NC, USA
| | | | - William L Lowe
- Feinberg School of Medicine, Northwestern University, Chicago, IL, USA
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Clinton CM, Bain JR, Muehlbauer MJ, O'Neal SK, Hughes BL, Truong T, Pieper CF, McElrath TF, Ferguson KK. 112: Urinary metabolomic profiles in pregnancy and association with fetal growth restriction. Am J Obstet Gynecol 2019. [DOI: 10.1016/j.ajog.2018.11.133] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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Scialla JJ, Brown L, Gurley S, Corcoran DL, Bain JR, Muehlbauer MJ, O’Neal SK, M. O’Connell T, Wolf M, Melamed ML, Hostetter TH, Abramowitz MK. Metabolic Changes with Base-Loading in CKD. Clin J Am Soc Nephrol 2018; 13:1244-1246. [PMID: 29934431 PMCID: PMC6086694 DOI: 10.2215/cjn.01830218] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
| | | | | | - David L. Corcoran
- Department of Medicine
- Duke Center for Genomic and Computational Biology, and
| | - James R. Bain
- Department of Medicine
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Michael J. Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Sara K. O’Neal
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Thomas M. O’Connell
- Department of Medicine
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
- Department of Otolaryngology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Myles Wolf
- Department of Medicine
- Duke Clinical Research Institute
| | - Michal L. Melamed
- Department of Medicine, Albert Einstein College of Medicine, Bronx, New York; and
| | - Thomas H. Hostetter
- Department of Medicine, University Hospitals Cleveland Medical Center, Case Western Reserve School of Medicine, Cleveland, Ohio
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Bhupathiraju SN, Guasch-Ferré M, Gadgil MD, Newgard CB, Bain JR, Muehlbauer MJ, Ilkayeva OR, Scholtens DM, Hu FB, Kanaya AM, Kandula NR. Dietary Patterns among Asian Indians Living in the United States Have Distinct Metabolomic Profiles That Are Associated with Cardiometabolic Risk. J Nutr 2018; 148:1150-1159. [PMID: 29893901 PMCID: PMC6251517 DOI: 10.1093/jn/nxy074] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [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: 11/28/2017] [Revised: 01/08/2018] [Accepted: 03/23/2018] [Indexed: 12/14/2022] Open
Abstract
Background Recent studies, primarily in non-Hispanic whites, suggest that dietary patterns have distinct metabolomic signatures that may influence disease risk. However, evidence in South Asians, a group with unique dietary patterns and a high prevalence of cardiometabolic risk, is lacking. Objective We investigated the metabolomic profiles associated with 2 distinct dietary patterns among a sample of Asian Indians living in the United States. We also examined the cross-sectional associations between metabolomic profiles and cardiometabolic risk markers. Methods We used cross-sectional data from 145 Asian Indians, aged 45-79 y, in the Metabolic Syndrome and Atherosclerosis in South Asians Living in America (MASALA) pilot study. Metabolomic profiles were measured from fasting serum samples. Usual diet was assessed by using a validated food-frequency questionnaire. We used principal components analysis to derive dietary and metabolomic patterns. We used adjusted general linear regression models to examine associations between dietary patterns, individual food groups, metabolite patterns, and cardiometabolic risk markers. Results We observed 2 major principal components or metabolite clusters, the first comprised primarily of medium- to long-chain acylcarnitines (metabolite pattern 1) and the second characterized by branched-chain amino acids, aromatic amino acids, and short-chain acylcarnitines (metabolite pattern 2). A "Western/nonvegetarian" pattern was significantly and positively associated with metabolite pattern 2 (all participants: β ± SE = 0.180 ± 0.090, P = 0.05; participants without type 2 diabetes: β ± SE = 0.323 ± 0.090, P = 0.0005). In all participants, higher scores on metabolite pattern 2 were adversely associated with measures of glycemia (fasting insulin: β ± SE = 2.91 ± 1.29, P = 0.03; 2-h insulin: β ± SE = 22.1 ± 10.3, P = 0.03; homeostasis model assessment of insulin resistance: β ± SE = 0.94 ± 0.42, P = 0.03), total adiponectin (β ± SE = -1.46 ± 0.47, P = 0.002), lipids (total cholesterol: β ± SE = 7.51 ± 3.45, P = 0.03; triglycerides: β ± SE = 14.4 ± 6.67, P = 0.03), and a radiographic measure of hepatic fat (liver-to-spleen attenuation ratio: β ± SE = -0.83 ± 0.42, P = 0.05). Conclusions Our findings suggest that a "Western/nonvegetarian" dietary pattern is associated with a metabolomic profile that is related to an adverse cardiometabolic profile in Asian Indians. Public health efforts to reduce cardiometabolic disease burden in this high-risk group should focus on consuming a healthy plant-based diet.
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Affiliation(s)
- Shilpa N Bhupathiraju
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston,
MA
- Channing Division of Network Medicine, Harvard Medical School, Boston, MA
| | - Marta Guasch-Ferré
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston,
MA
- Channing Division of Network Medicine, Harvard Medical School, Boston, MA
| | - Meghana D Gadgil
- Division of General Internal Medicine, Department of Medicine, University of
California, San Francisco, San Francisco, CA
| | - Christopher B Newgard
- Sarah W Stedman Nutrition and Metabolism Center, Duke Molecular Physiology
Institute, Duke University Medical Center, Durham, NC
| | - James R Bain
- Sarah W Stedman Nutrition and Metabolism Center, Duke Molecular Physiology
Institute, Duke University Medical Center, Durham, NC
| | - Michael J Muehlbauer
- Sarah W Stedman Nutrition and Metabolism Center, Duke Molecular Physiology
Institute, Duke University Medical Center, Durham, NC
| | - Olga R Ilkayeva
- Sarah W Stedman Nutrition and Metabolism Center, Duke Molecular Physiology
Institute, Duke University Medical Center, Durham, NC
| | | | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston,
MA
- Channing Division of Network Medicine, Harvard Medical School, Boston, MA
| | - Alka M Kanaya
- Division of General Internal Medicine, Department of Medicine, University of
California, San Francisco, San Francisco, CA
| | - Namratha R Kandula
- Division of General Internal Medicine and Geriatrics, Department of Medicine,
Northwestern University Feinberg School of Medicine, Chicago, IL
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Bartlett DB, Willis LH, Slentz CA, Hoselton A, Kelly L, Huebner JL, Kraus VB, Moss J, Muehlbauer MJ, Spielmann G, Kraus WE, Lord JM, Huffman KM. Ten weeks of high-intensity interval walk training is associated with reduced disease activity and improved innate immune function in older adults with rheumatoid arthritis: a pilot study. Arthritis Res Ther 2018; 20:127. [PMID: 29898765 PMCID: PMC6001166 DOI: 10.1186/s13075-018-1624-x] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Accepted: 05/14/2018] [Indexed: 12/15/2022] Open
Abstract
Background Rheumatoid arthritis (RA) is a chronic inflammatory disease in which adults have significant joint issues leading to poor health. Poor health is compounded by many factors, including exercise avoidance and increased risk of opportunistic infection. Exercise training can improve the health of patients with RA and potentially improve immune function; however, information on the effects of high-intensity interval training (HIIT) in RA is limited. We sought to determine whether 10 weeks of a walking-based HIIT program would be associated with health improvements as measured by disease activity and aerobic fitness. Further, we assessed whether HIIT was associated with improved immune function, specifically antimicrobial/bacterial functions of neutrophils and monocytes. Methods Twelve physically inactive adults aged 64 ± 7 years with either seropositive or radiographically proven (bone erosions) RA completed 10 weeks of high-intensity interval walking. Training consisted of 3 × 30-minute sessions/week of ten ≥ 60-second intervals of high intensity (80–90% VO2reserve) separated by similar bouts of lower-intensity intervals (50–60% VO2reserve). Pre- and postintervention assessments included aerobic and physical function; disease activity as measured by Disease Activity score in 28 joints (DAS28), self-perceived health, C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR); plasma interleukin (IL)-1β, IL-6, chemokine (C-X-C motif) ligand (CXCL)-8, IL-10, and tumor necrosis factor (TNF)-α concentrations; and neutrophil and monocyte phenotypes and functions. Results Despite minimal body composition change, cardiorespiratory fitness increased by 9% (change in both relative and absolute aerobic capacity; p < 0.001), and resting blood pressure and heart rate were both reduced (both p < 0.05). Postintervention disease activity was reduced by 38% (DAS28; p = 0.001) with significant reductions in ESR and swollen joints as well as improved self-perceived health. Neutrophil migration toward CXCL-8 (p = 0.003), phagocytosis of Escherichia coli (p = 0.03), and ROS production (p < 0.001) all increased following training. The frequency of cluster of differentiation 14-positive (CD14+)/CD16+ monocytes was reduced (p = 0.002), with both nonclassical (CD14dim/CD16bright) and intermediate (CD14bright/CD16positive) monocytes being reduced (both p < 0.05). Following training, the cell surface expression of intermediate monocyte Toll-like receptor 2 (TLR2), TLR4, and HLA-DR was reduced (all p < 0.05), and monocyte phagocytosis of E. coli increased (p = 0.02). No changes were observed for inflammatory markers IL-1β, IL-6, CXCL-8, IL-10, CRP, or TNF-α. Conclusions We report for the first time, to our knowledge, that a high-intensity interval walking protocol in older adults with stable RA is associated with reduced disease activity, improved cardiovascular fitness, and improved innate immune functions, indicative of reduced infection risk and inflammatory potential. Importantly, the exercise program was well tolerated by these patients. Trial registration ClinicalTrials.gov, NCT02528344. Registered on 19 August 2015.
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Affiliation(s)
- David B Bartlett
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA. .,Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27701, USA. .,MRC-ARUK Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.
| | - Leslie H Willis
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Cris A Slentz
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Andrew Hoselton
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Leslie Kelly
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Janet L Huebner
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Virginia B Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Jennifer Moss
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | | | - William E Kraus
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
| | - Janet M Lord
- MRC-ARUK Centre for Musculoskeletal Ageing Research, Institute of Inflammation and Ageing, University of Birmingham, Birmingham, UK.,NIHR Birmingham Biomedical Research Centre in Inflammation, University Hospital Birmingham, Birmingham, UK
| | - Kim M Huffman
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, USA
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Abaffy T, Bain JR, Muehlbauer MJ, Spasojevic I, Lodha S, Bruguera E, O'Neal SK, Kim SY, Matsunami H. A Testosterone Metabolite 19-Hydroxyandrostenedione Induces Neuroendocrine Trans-Differentiation of Prostate Cancer Cells via an Ectopic Olfactory Receptor. Front Oncol 2018; 8:162. [PMID: 29892571 PMCID: PMC5985834 DOI: 10.3389/fonc.2018.00162] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Accepted: 04/30/2018] [Indexed: 12/22/2022] Open
Abstract
Olfactory receptor OR51E2, also known as a Prostate Specific G-Protein Receptor, is highly expressed in prostate cancer but its function is not well understood. Through in silico and in vitro analyses, we identified 24 agonists and 1 antagonist for this receptor. We detected that agonist 19-hydroxyandrostenedione, a product of the aromatase reaction, is endogenously produced upon receptor activation. We characterized the effects of receptor activation on metabolism using a prostate cancer cell line and demonstrated decreased intracellular anabolic signals and cell viability, induction of cell cycle arrest, and increased expression of neuronal markers. Furthermore, upregulation of neuron-specific enolase by agonist treatment was abolished in OR51E2-KO cells. The results of our study suggest that OR51E2 activation results in neuroendocrine trans-differentiation. These findings reveal a new role for OR51E2 and establish this G-protein coupled receptor as a novel therapeutic target in the treatment of prostate cancer.
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Affiliation(s)
- Tatjana Abaffy
- Department of Molecular Genetics and Microbiology, Duke Cancer Institute, Duke University School of Medicine, Durham, NC, United States
| | - James R Bain
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - Ivan Spasojevic
- Department of Medicine, Duke University School of Medicine, Durham, NC, United States
| | - Shweta Lodha
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States
| | - Elisa Bruguera
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, United States
| | - Sara K O'Neal
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, NC, United States
| | - So Young Kim
- Department of Molecular Genetics and Microbiology, Functional Genomics Shared Resource, Duke University School of Medicine, Durham, NC, United States
| | - Hiroaki Matsunami
- Department of Molecular Genetics and Microbiology, Department of Neurobiology, Duke Institute for Brain Sciences, Duke Cancer Institute, Duke University School of Medicine, Durham, NC, United States
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Shantavasinkul PC, Muehlbauer MJ, Bain JR, Ilkayeva OR, Craig DM, Newgard CB, Svetkey LP, Shah SH, Torquati A. Improvement in insulin resistance after gastric bypass surgery is correlated with a decline in plasma 2-hydroxybutyric acid. Surg Obes Relat Dis 2018; 14:1126-1132. [PMID: 29805089 DOI: 10.1016/j.soard.2018.03.033] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [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: 02/06/2018] [Revised: 03/13/2018] [Accepted: 03/30/2018] [Indexed: 12/26/2022]
Abstract
BACKGROUND Gastric bypass surgery for weight reduction often corrects dysglycemia in diabetic patients, but a full understanding of the underlying biochemical pathways continues to be investigated. OBJECTIVES To explore the effects of weight loss by surgical and dietary interventions on plasma metabolites using both targeted and discovery-oriented metabolomics platforms. SETTING An academic medical center in the United States. METHODS Improvement in homeostatic model assessment for insulin resistance (HOMA-IR), as an index of insulin resistance, was compared at 6 months in 11 patients that underwent Roux-en-Y gastric bypass against 11 patients that were matched for weight loss in the Weight Loss Maintenance (WLM) program. Metabolites in plasma were evaluated by nontargeted gas chromatography/mass spectrometry for the potential detection of >1100 biochemical markers. RESULTS Among multiple metabolites detected, 2-hydroxybutyric acid (2-HBA) declined most significantly after 6 months in comparing patients that underwent Roux-en-Y gastric bypass with those in WLM (P < .001), corresponding with declines in HOMA-IR (P = .025). Baseline levels of 2-HBA for all patients were correlated with preintervention levels of HOMA-IR (R2 = .565, P < .001). Moreover, the changes in 2-HBA after 6 months were correlated with changes in HOMA-IR (R2 = .399, P = .0016). CONCLUSIONS Correlation between insulin resistance and 2-HBA suggests the utility of the latter as an excellent biomarker for tracking glycemic improvement, and offers further insight into the pathways that control diabetes. This is the first report of a decline in 2-HBA in response to bariatric surgery.
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Affiliation(s)
| | - Michael J Muehlbauer
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina.
| | - James R Bain
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Olga R Ilkayeva
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Damian M Craig
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Christopher B Newgard
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Laura P Svetkey
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina
| | - Svati H Shah
- Duke Molecular Physiology Institute, Duke University School of Medicine, Durham, North Carolina; Division of Cardiology, Department of Medicine, Duke University School of Medicine, Durham, North Carolina
| | - Alfonso Torquati
- Center for Weight Loss and Bariatric Surgery, Department of General Surgery, Rush University Medical Center, Chicago, Illinois
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Chondronikola M, Magkos F, Yoshino J, Okunade AL, Patterson BW, Muehlbauer MJ, Newgard CB, Klein S. Effect of Progressive Weight Loss on Lactate Metabolism: A Randomized Controlled Trial. Obesity (Silver Spring) 2018; 26:683-688. [PMID: 29476613 PMCID: PMC5866193 DOI: 10.1002/oby.22129] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [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] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/23/2017] [Revised: 12/13/2017] [Accepted: 12/26/2017] [Indexed: 02/01/2023]
Abstract
OBJECTIVE Lactate is an intermediate of glucose metabolism that has been implicated in the pathogenesis of insulin resistance. This study evaluated the relationship between glucose kinetics and plasma lactate concentration ([LAC]) before and after manipulating insulin sensitivity by progressive weight loss. METHODS Forty people with obesity (BMI = 37.9 ± 4.3 kg/m2 ) were randomized to weight maintenance (n = 14) or weight loss (n = 19). Subjects were studied before and after 6 months of weight maintenance and before and after 5%, 11%, and 16% weight loss. A hyperinsulinemic-euglycemic clamp procedure in conjunction with [6,6-2 H2 ]glucose tracer infusion was used to assess glucose kinetics. RESULTS At baseline, fasting [LAC] correlated positively with endogenous glucose production rate (r = 0.532; P = 0.001) and negatively with insulin sensitivity, assessed as the insulin-stimulated glucose disposal (r = -0.361; P = 0.04). Progressive (5% through 16%) weight loss caused a progressive decrease in fasting [LAC], and the decrease in fasting [LAC] after 5% weight loss was correlated with the decrease in endogenous glucose production (r = 0.654; P = 0.002) and the increase in insulin sensitivity (r = -0.595; P = 0.007). CONCLUSIONS This study demonstrates the interrelationships among weight loss, hepatic and muscle glucose kinetics, insulin sensitivity, and [LAC], and it suggests that [LAC] can serve as an additional biomarker of glucose-related insulin resistance.
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Affiliation(s)
- Maria Chondronikola
- Center for Human Nutrition and Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Faidon Magkos
- Center for Human Nutrition and Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St. Louis, MO, USA
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore & Clinical Nutrition Research Centre, A*STAR, Singapore
| | - Jun Yoshino
- Center for Human Nutrition and Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Adewole L. Okunade
- Center for Human Nutrition and Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Bruce W. Patterson
- Center for Human Nutrition and Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St. Louis, MO, USA
| | - Michael J. Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center & Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Christopher B. Newgard
- Sarah W. Stedman Nutrition and Metabolism Center & Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Samuel Klein
- Center for Human Nutrition and Atkins Center of Excellence in Obesity Medicine, Washington University School of Medicine, St. Louis, MO, USA
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An J, Wang L, Patnode ML, Ridaura VK, Haldeman JM, Stevens RD, Ilkayeva O, Bain JR, Muehlbauer MJ, Glynn EL, Thomas S, Muoio D, Summers SA, Vath JE, Hughes TE, Gordon JI, Newgard CB. Physiological mechanisms of sustained fumagillin-induced weight loss. JCI Insight 2018. [PMID: 29515039 DOI: 10.1172/jci.insight.99453] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [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: 02/06/2023] Open
Abstract
Current obesity interventions suffer from lack of durable effects and undesirable complications. Fumagillin, an inhibitor of methionine aminopeptidase-2, causes weight loss by reducing food intake, but with effects on weight that are superior to pair-feeding. Here, we show that feeding of rats on a high-fat diet supplemented with fumagillin (HF/FG) suppresses the aggressive feeding observed in pair-fed controls (HF/PF) and alters expression of circadian genes relative to the HF/PF group. Multiple indices of reduced energy expenditure are observed in HF/FG but not HF/PF rats. HF/FG rats also exhibit changes in gut hormones linked to food intake, increased energy harvest by gut microbiota, and caloric spilling in the urine. Studies in gnotobiotic mice reveal that effects of fumagillin on energy expenditure but not feeding behavior may be mediated by the gut microbiota. In sum, fumagillin engages weight loss-inducing behavioral and physiologic circuits distinct from those activated by simple caloric restriction.
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Affiliation(s)
- Jie An
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Liping Wang
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael L Patnode
- Center for Genome Sciences and Systems Biology and.,Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Vanessa K Ridaura
- Center for Genome Sciences and Systems Biology and.,Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jonathan M Haldeman
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Robert D Stevens
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Olga Ilkayeva
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Erin L Glynn
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Steven Thomas
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Deborah Muoio
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | - Scott A Summers
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
| | | | | | - Jeffrey I Gordon
- Center for Genome Sciences and Systems Biology and.,Center for Gut Microbiome and Nutrition Research, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Christopher B Newgard
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Departments of Pharmacology and Cancer Biology and Medicine, Duke University Medical Center, Durham, North Carolina, USA
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Okeke NL, Craig DM, Muehlbauer MJ, Ilkayeva O, Clement ME, Naggie S, Shah SH. Metabolites predict cardiovascular disease events in persons living with HIV: a pilot case-control study. Metabolomics 2018; 14:23. [PMID: 30760970 PMCID: PMC6370037 DOI: 10.1007/s11306-018-1318-z] [Citation(s) in RCA: 9] [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] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Persons living with HIV (PLWH) are at higher risk for cardiovascular disease (CVD) events than uninfected persons. Current risk-stratification methods to define PLWH at highest risk for CVD events are lacking. METHODS Using tandem flow injection mass spectrometry, we quantified plasma levels of 60 metabolites in 24 matched pairs of PLWH [1:1 with and without known coronary artery disease (CAD)]. Metabolite levels were reduced to interpretable factors using principal components analysis. RESULTS Factors derived from short-chain dicarboxylacylcarnitines (SCDA) (p = 0.08) and glutamine/valine (p = 0.003) were elevated in CAD cases compared to controls. CONCLUSION SCDAs and glutamine/valine may be valuable markers of cardiovascular risk among persons living with HIV in the future, pending validation in larger cohorts.
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Affiliation(s)
- Nwora Lance Okeke
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, 315 Trent Drive, Rm. 178, Durham, NC 27710, USA
| | - Damian M. Craig
- Duke Molecular Physiology Institute, Durham, NC, USA
- Nwora Lance Okeke,
| | | | - Olga Ilkayeva
- Duke Molecular Physiology Institute, Durham, NC, USA
| | - Meredith E. Clement
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, 315 Trent Drive, Rm. 178, Durham, NC 27710, USA
| | - Susanna Naggie
- Division of Infectious Diseases, Department of Medicine, Duke University Medical Center, 315 Trent Drive, Rm. 178, Durham, NC 27710, USA
- Duke Clinical Research Institute, Durham, NC, USA
| | - Svati H. Shah
- Duke Molecular Physiology Institute, Durham, NC, USA
- Duke Global Health Institute, Durham, NC, USA
- Division of Cardiology, Department of Medicine, Duke University Medical Center, Durham, NC, USA
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Lowe WL, Bain JR, Nodzenski M, Reisetter AC, Muehlbauer MJ, Stevens RD, Ilkayeva OR, Lowe LP, Metzger BE, Newgard CB, Scholtens DM. Erratum. Maternal BMI and Glycemia Impact the Fetal Metabolome. Diabetes Care 2017;40:902-910. Diabetes Care 2018; 41:640. [PMID: 29311154 PMCID: PMC5829957 DOI: 10.2337/dc18-er03b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
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50
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Parry TL, Starnes JW, O'Neal SK, Bain JR, Muehlbauer MJ, Honcoop A, Ilaiwy A, Christopher P, Patterson C, Willis MS. Untargeted metabolomics analysis of ischemia-reperfusion-injured hearts ex vivo from sedentary and exercise-trained rats. Metabolomics 2018; 14:8. [PMID: 30104954 PMCID: PMC6086497 DOI: 10.1007/s11306-017-1303-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [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] [Indexed: 11/24/2022]
Abstract
INTRODUCTION The effects of exercise on the heart and its resistance to disease are well-documented. Recent studies have identified that exercise-induced resistance to arrhythmia is due to the preservation of mitochondrial membrane potential. OBJECTIVES To identify novel metabolic changes that occur parallel to these mitochondrial alterations, we performed non-targeted metabolomics analysis on hearts from sedentary and exercise-trained rats challenged with isolated heart ischemia-reperfusion injury (I/R). METHODS Eight-week old Sprague-Dawley rats were treadmill trained 5 days/week for 6 weeks (exercise duration and intensity progressively increased to 1 h at 30 m/min up a 10.5% incline, 75-80% VO2max). The recovery of pre-ischemic function for sedentary rat hearts was 28.8 ± 5.4% (N = 12) compared to exercise trained hearts, which recovered 51.9% ± 5.7 (N = 14) (p < 0.001). RESULTS Non-targeted GC-MS metabolomics analysis of (1) sedentary rat hearts; (2) exercise-trained rat hearts; (3) sedentary rat hearts challenged with global ischemia-reperfusion (I/R) injury; and (4) exercise-trained rat hearts challenged with global I/R (10/group) revealed 15 statistically significant metabolites between groups by ANOVA using Metaboanalyst (p < 0.001). Enrichment analysis of these metabolites for pathway-associated metabolic sets indicated a > 10-fold enrichment for ammonia recycling and protein biosynthesis. Subsequent comparison of the sedentary hearts post-I/R and exercise-trained hearts post-I/R further identified significant differences in three metabolites (oleic acid, pantothenic acid, and campesterol) related to pantothenate and CoA biosynthesis (p ≤ 1.24E-05, FDR ≤ 5.07E-4). CONCLUSIONS These studies shed light on novel mechanisms in which exercise-induced cardioprotection occurs in I/R that complement both the mitochondrial stabilization and antioxidant mechanisms recently described. These findings also link protein synthesis and protein degradation (protein quality control mechanisms) with exercise-linked cardioprotection and mitochondrial susceptibility for the first time in cardiac I/R.
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Affiliation(s)
- Traci L Parry
- McAllister Heart Institute, University of North Carolina, Chapel Hill, NC, USA
- Department of Pathology & Laboratory Medicine, University of North Carolina, 111 Mason Farm Road, MBRB 2340B, Chapel Hill, NC, 27599, USA
| | - Joseph W Starnes
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Sara K O'Neal
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - James R Bain
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Michael J Muehlbauer
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
| | - Aubree Honcoop
- Toxicology Curriculum, University of North Carolina, Chapel Hill, NC, USA
| | - Amro Ilaiwy
- Sarah W. Stedman Nutrition and Metabolism Center, Duke Molecular Physiology Institute, Duke University Medical Center, Durham, NC, USA
- Division of Endocrinology, Metabolism, and Nutrition, Department of Medicine, Duke University Medical Center, Durham, NC, USA
| | - Peter Christopher
- Department of Kinesiology, University of North Carolina at Greensboro, Greensboro, NC, USA
| | - Cam Patterson
- Presbyterian Hospital/Weill-Cornell Medical Center, New York, NY, USA
| | - Monte S Willis
- McAllister Heart Institute, University of North Carolina, Chapel Hill, NC, USA.
- Department of Pathology & Laboratory Medicine, University of North Carolina, 111 Mason Farm Road, MBRB 2340B, Chapel Hill, NC, 27599, USA.
- Department of Pharmacology, University of North Carolina, Chapel Hill, NC, USA.
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