1
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Chemparathy A, Le Guen Y, Chen S, Lee EG, Leong L, Gorzynski JE, Jensen TD, Ferrasse A, Xu G, Xiang H, Belloy ME, Kasireddy N, Peña-Tauber A, Williams K, Stewart I, Talozzi L, Wingo TS, Lah JJ, Jayadev S, Hales CM, Peskind E, Child DD, Roeber S, Keene CD, Cong L, Ashley EA, Yu CE, Greicius MD. APOE loss-of-function variants: Compatible with longevity and associated with resistance to Alzheimer's disease pathology. Neuron 2024; 112:1110-1116.e5. [PMID: 38301647 PMCID: PMC10994769 DOI: 10.1016/j.neuron.2024.01.008] [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: 05/31/2023] [Revised: 10/31/2023] [Accepted: 01/08/2024] [Indexed: 02/03/2024]
Abstract
The ε4 allele of apolipoprotein E (APOE) is the strongest genetic risk factor for sporadic Alzheimer's disease (AD). Knockdown of ε4 may provide a therapeutic strategy for AD, but the effect of APOE loss of function (LoF) on AD pathogenesis is unknown. We searched for APOE LoF variants in a large cohort of controls and patients with AD and identified seven heterozygote carriers of APOE LoF variants. Five carriers were controls (aged 71-90 years), one carrier was affected by progressive supranuclear palsy, and one carrier was affected by AD with an unremarkable age at onset of 75 years. Two APOE ε3/ε4 controls carried a stop-gain affecting ε4: one was cognitively normal at 90 years and had no neuritic plaques at autopsy; the other was cognitively healthy at 79 years, and lumbar puncture at 76 years showed normal levels of amyloid. These results suggest that ε4 drives AD risk through the gain of abnormal function and support ε4 knockdown as a viable therapeutic option.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA; Quantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, USA
| | - Sunny Chen
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Eun-Gyung Lee
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - Lesley Leong
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA
| | - John E Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Tanner D Jensen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Alexis Ferrasse
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Guangxue Xu
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Hong Xiang
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Michael E Belloy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Andrés Peña-Tauber
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Kennedy Williams
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Lia Talozzi
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA
| | - Thomas S Wingo
- Emory University School of Medicine, Atlanta, GA, USA; Goizueta Alzheimer's Disease Center, Emory University School of Medicine, Atlanta, GA, USA
| | - James J Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA, USA
| | - Chadwick M Hales
- Department of Neurology, Emory University School of Medicine, Atlanta, GA, USA; Department of Neurology, University of Washington, Seattle, WA, USA
| | - Elaine Peskind
- Veterans Affairs Northwest Network Mental Illness Research, Education, and Clinical Center, Veteran Affairs Puget Sound Health Care System, Seattle, WA, USA; Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA, USA
| | - Daniel D Child
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Sigrun Roeber
- Center for Neuropathology and Prion Research, Faculty of Medicine, LMU Munich, Munich, Germany
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA, USA
| | - Le Cong
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA
| | - Euan A Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA, USA; Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA, USA
| | - Chang-En Yu
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA, USA; Department of Medicine, University of Washington, Seattle, WA, USA
| | - Michael D Greicius
- Department of Neurology and Neurological Sciences, Stanford University, Stanford, CA, USA.
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2
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Chemparathy A, Guen YL, Zeng Y, Gorzynski J, Jensen T, Yang C, Kasireddy N, Talozzi L, Belloy ME, Stewart I, Gitler AD, Wagner AD, Mormino E, Henderson VW, Wyss-Coray T, Ashley E, Cruchaga C, Greicius MD. A 3'UTR Insertion Is a Candidate Causal Variant at the TMEM106B Locus Associated with Increased Risk for FTLD-TDP. medRxiv 2023:2023.07.06.23292312. [PMID: 37461476 PMCID: PMC10350161 DOI: 10.1101/2023.07.06.23292312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 07/27/2023]
Abstract
Background and Objectives Single nucleotide variants near TMEM106B associate with risk of frontotemporal lobar dementia with TDP-43 inclusions (FTLD-TDP) and Alzheimer's disease (AD) in genome-wide association studies (GWAS), but the causal variant at this locus remains unclear. Here we asked whether a novel structural variant on TMEM106B is the causal variant. Methods An exploratory analysis identified structural variants on neurodegeneration-related genes. Subsequent analyses focused on an Alu element insertion on the 3'UTR of TMEM106B. This study included data from longitudinal aging and neurogenerative disease cohorts at Stanford University, case-control cohorts in the Alzheimer's Disease Sequencing Project (ADSP), and expression and proteomics data from Washington University in St. Louis (WUSTL). 432 individuals from two Stanford aging cohorts were whole-genome long-read and short-read sequenced. 16,906 samples from ADSP were short-read sequenced. Genotypes, transcriptomics, and proteomics data were available in 1,979 participants from an aging and dementia cohort at WUSTL. Selection criteria were specific to each cohort. In primary analyses, the linkage disequilibrium between the TMEM106B locus variants in the FTLD-TDP GWAS and the 3'UTR insertion was estimated. We then estimated linkage by ancestry in the ADSP and evaluated the effect of the TMEM106B lead variant on mRNA and protein levels. Results The primary analysis included 432 participants (52.5% females, age range 45-92 years old). We identified a 316 bp Alu insertion overlapping the TMEM106B 3'UTR tightly linked with top GWAS variants rs3173615(C) and rs1990622(A). In ADSP European-ancestry participants, this insertion is in equivalent linkage with rs1990622(A) (R2=0.962, D'=0.998) and rs3173615(C) (R2=0.960, D'=0.996). In African-ancestry participants, the insertion is in stronger linkage with rs1990622(A) (R2=0.992, D'=0.998) than with rs3173615(C) (R2=0.811, D'=0.994). In public datasets, rs1990622 was consistently associated with TMEM106B protein levels but not with mRNA expression. In the WUSTL dataset, rs1990622 is associated with TMEM106B protein levels in plasma and cerebrospinal fluid, but not with TMEM106B mRNA expression. Discussion We identified a novel Alu element insertion in the 3'UTR of TMEM106B in tight linkage with the lead FTLD-TDP risk variant. The lead variant is associated with TMEM106B protein levels, but not expression. The 3'UTR insertion is a lead candidate for the causal variant at this complex locus, pending confirmation with functional studies.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Yi Zeng
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - John Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Tanner Jensen
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Chengran Yang
- Neurogenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Lia Talozzi
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Michael E. Belloy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Aaron D. Gitler
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Anthony D. Wagner
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Elizabeth Mormino
- Wu Tsai Neurosciences Institute, Stanford University, Stanford, CA, USA
- Department of Psychology, Stanford University, Stanford, CA, USA
| | - Victor W. Henderson
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Department of Epidemiology and Population Health, Stanford University, Stanford, CA, USA
| | - Tony Wyss-Coray
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Euan Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Carlos Cruchaga
- Neurogenomics and Informatics Center, Washington University School of Medicine, St. Louis, MO
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
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Chemparathy A, Guen YL, Chen S, Lee EG, Leong L, Gorzynski J, Xu G, Belloy M, Kasireddy N, Tauber AP, Williams K, Stewart I, Wingo T, Lah J, Jayadev S, Hales C, Peskind E, Child DD, Keene CD, Cong L, Ashley E, Yu CE, Greicius MD. APOE loss-of-function variants: Compatible with longevity and associated with resistance to Alzheimer's Disease pathology. medRxiv 2023:2023.07.20.23292771. [PMID: 37547016 PMCID: PMC10402217 DOI: 10.1101/2023.07.20.23292771] [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] [Subscribe] [Scholar Register] [Indexed: 08/08/2023]
Abstract
The ε4 allele of apolipoprotein E (APOE) is the strongest genetic risk factor for sporadic Alzheimer's Disease (AD). Knockdown of this allele may provide a therapeutic strategy for AD, but the effect of APOE loss-of-function (LoF) on AD pathogenesis is unknown. We searched for APOE LoF variants in a large cohort of older controls and patients with AD and identified six heterozygote carriers of APOE LoF variants. Five carriers were controls (ages 71-90) and one was an AD case with an unremarkable age-at-onset between 75-79. Two APOE ε3/ε4 controls (Subjects 1 and 2) carried a stop-gain affecting the ε4 allele. Subject 1 was cognitively normal at 90+ and had no neuritic plaques at autopsy. Subject 2 was cognitively healthy within the age range 75-79 and underwent lumbar puncture at between ages 75-79 with normal levels of amyloid. The results provide the strongest human genetics evidence yet available suggesting that ε4 drives AD risk through a gain of abnormal function and support knockdown of APOE ε4 or its protein product as a viable therapeutic option.
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Affiliation(s)
- Augustine Chemparathy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Yann Le Guen
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
- Quantitative Sciences Unit, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Sunny Chen
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
| | - Eun-Gyung Lee
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
| | - Lesley Leong
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
| | - John Gorzynski
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
| | - Guangxue Xu
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Michael Belloy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Nandita Kasireddy
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Andrés Peña Tauber
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Kennedy Williams
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Ilaria Stewart
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
| | - Thomas Wingo
- Emory University School of Medicine, Atlanta, GA
- Goizueta Alzheimer’s Disease Center, Emory University School of Medicine, Atlanta, GA
| | - James Lah
- Department of Neurology, Emory University School of Medicine, Atlanta, GA
| | - Suman Jayadev
- Department of Neurology, University of Washington, Seattle, WA
| | - Chad Hales
- Emory University School of Medicine, Atlanta, GA
- Goizueta Alzheimer’s Disease Center, Emory University School of Medicine, Atlanta, GA
| | - Elaine Peskind
- Veterans Affairs Northwest Network Mental Illness Research, Education, and Clinical Center, Veteran Affairs Puget Sound Health Care System, Seattle, WA
- Department of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA
| | - Daniel D Child
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA
| | - C Dirk Keene
- Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, WA
| | - Le Cong
- Department of Pathology, Stanford University School of Medicine, Stanford, CA
| | - Euan Ashley
- Department of Genetics, Stanford University School of Medicine, Stanford, CA
- Center for Inherited Cardiovascular Disease, Stanford University, Stanford, CA
- Division of Cardiology, Department of Medicine, Stanford University School of Medicine, Stanford, CA
| | - Chang-En Yu
- Geriatric Research, Education, and Clinical Center, VA Puget Sound Health Care System, Seattle, WA
- Department of Medicine, University of Washington, Seattle, WA
| | - Michael D. Greicius
- Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA
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4
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Ward A, Chemparathy A, Seneviratne M, Gaskari S, Mathew R, Wood M, Donnelly LF, Lee GM, Scheinker D, Shin AY. The Association Between Central Line-Associated Bloodstream Infection and Central Line Access. Crit Care Med 2023; 51:787-796. [PMID: 36920081 DOI: 10.1097/ccm.0000000000005838] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
OBJECTIVES Identifying modifiable risk factors associated with central line-associated bloodstream infections (CLABSIs) may lead to modifications to central line (CL) management. We hypothesize that the number of CL accesses per day is associated with an increased risk for CLABSI and that a significant fraction of CL access may be substituted with non-CL routes. DESIGN We conducted a retrospective cohort study of patients with at least one CL device day from January 1, 2015, to December 31, 2019. A multivariate mixed-effects logistic regression model was used to estimate the association between the number of CL accesses in a given CL device day and prevalence of CLABSI within the following 3 days. SETTING A 395-bed pediatric academic medical center. PATIENTS Patients with at least one CL device day from January 1, 2015, to December 31, 2019. INTERVENTIONS None. MEASUREMENTS AND MAIN RESULTS There were 138,411 eligible CL device days across 6,543 patients, with 639 device days within 3 days of a CLABSI (a total of 217 CLABSIs). The number of per-day CL accesses was independently associated with risk of CLABSI in the next 3 days (adjusted odds ratio, 1.007; 95% CI, 1.003-1.012; p = 0.002). Of medications administered through CLs, 88% were candidates for delivery through a peripheral line. On average, these accesses contributed a 6.3% increase in daily risk for CLABSI. CONCLUSIONS The number of daily CL accesses is independently associated with risk of CLABSI in the next 3 days. In the pediatric population examined, most medications delivered through CLs could be safely administered peripherally. Efforts to reduce CL access may be an important strategy to include in contemporary CLABSI-prevention bundles.
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Affiliation(s)
- Andrew Ward
- Department of Electrical Engineering, Stanford University, Stanford, CA
| | - Augustine Chemparathy
- Stanford University School of Medicine, Stanford University, Stanford, CA
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA
| | | | - Shabnam Gaskari
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA
| | - Roshni Mathew
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA
| | - Matthew Wood
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA
| | - Lane F Donnelly
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA
| | - Grace M Lee
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA
| | - David Scheinker
- Department of Management Science and Engineering, Stanford University, Stanford, CA
| | - Andrew Y Shin
- Lucile Packard Children's Hospital, Stanford University, Stanford, CA
- Stanford Cardiovascular Institute, Stanford, CA
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5
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Lin X, Liu Y, Liu S, Zhu X, Wu L, Zhu Y, Zhao D, Xu X, Chemparathy A, Wang H, Cao Y, Nakamura M, Noordermeer JN, La Russa M, Wong WH, Zhao K, Qi LS. Nested epistasis enhancer networks for robust genome regulation. Science 2022; 377:1077-1085. [PMID: 35951677 DOI: 10.1126/science.abk3512] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mammalian genomes possess multiple enhancers spanning an ultralong distance (>megabases) to modulate important genes, yet it is unclear how these enhancers coordinate to achieve this task. Here, we combine multiplexed CRISPRi screening with machine learning to define quantitative enhancer-enhancer interactions. We find that the ultralong distance enhancer network possesses a nested multi-layer architecture that confers functional robustness of gene expression. Experimental characterization reveals that enhancer epistasis is maintained by three-dimensional chromosomal interactions and BRD4 condensation. Machine learning prediction of synergistic enhancers provides an effective strategy to identify non-coding variant pairs associated with pathogenic genes in diseases beyond Genome-Wide Association Studies (GWAS) analysis. Our work unveils nested epistasis enhancer networks, which can better explain enhancer functions within cells and in diseases.
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Affiliation(s)
- Xueqiu Lin
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Yanxia Liu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Shuai Liu
- Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung and Blood Institute NIH, Bethesda, MD 20892, USA
| | - Xiang Zhu
- Department of Statistics, Stanford University, Stanford, CA 94305, USA.,Department of Statistics, The Pennsylvania State University, University Park, PA 16802, USA.,Huck Institutes of the Life Sciences, The Pennsylvania State University, University Park, PA 16802, USA
| | - Lingling Wu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Yanyu Zhu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Dehua Zhao
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Xiaoshu Xu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | | | - Haifeng Wang
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Yaqiang Cao
- Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung and Blood Institute NIH, Bethesda, MD 20892, USA
| | - Muneaki Nakamura
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | | | - Marie La Russa
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Wing Hung Wong
- Department of Statistics, Stanford University, Stanford, CA 94305, USA.,Department of Biomedical Data Science, Stanford University, Stanford, CA 94305, USA
| | - Keji Zhao
- Laboratory of Epigenome Biology, Systems Biology Center, National Heart, Lung and Blood Institute NIH, Bethesda, MD 20892, USA
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.,ChEM-H, Stanford University, Stanford, CA 94305, USA.,Chan Zuckerberg BioHub, San Francisco, CA 94158, USA
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6
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Zeng L, Liu Y, Nguyenla XH, Abbott TR, Han M, Zhu Y, Chemparathy A, Lin X, Chen X, Wang H, Rane DA, Spatz JM, Jain S, Rustagi A, Pinsky B, Zepeda AE, Kadina AP, Walker JA, Holden K, Temperton N, Cochran JR, Barron AE, Connolly MD, Blish CA, Lewis DB, Stanley SA, La Russa MF, Qi LS. Broad-spectrum CRISPR-mediated inhibition of SARS-CoV-2 variants and endemic coronaviruses in vitro. Nat Commun 2022; 13:2766. [PMID: 35589813 PMCID: PMC9119983 DOI: 10.1038/s41467-022-30546-7] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [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: 10/28/2021] [Accepted: 05/06/2022] [Indexed: 12/13/2022] Open
Abstract
A major challenge in coronavirus vaccination and treatment is to counteract rapid viral evolution and mutations. Here we demonstrate that CRISPR-Cas13d offers a broad-spectrum antiviral (BSA) to inhibit many SARS-CoV-2 variants and diverse human coronavirus strains with >99% reduction of the viral titer. We show that Cas13d-mediated coronavirus inhibition is dependent on the crRNA cellular spatial colocalization with Cas13d and target viral RNA. Cas13d can significantly enhance the therapeutic effects of diverse small molecule drugs against coronaviruses for prophylaxis or treatment purposes, and the best combination reduced viral titer by over four orders of magnitude. Using lipid nanoparticle-mediated RNA delivery, we demonstrate that the Cas13d system can effectively treat infection from multiple variants of coronavirus, including Omicron SARS-CoV-2, in human primary airway epithelium air-liquid interface (ALI) cultures. Our study establishes CRISPR-Cas13 as a BSA which is highly complementary to existing vaccination and antiviral treatment strategies.
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Affiliation(s)
- Leiping Zeng
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Yanxia Liu
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Xammy Huu Nguyenla
- Department of Molecular and Cellular Biology, University of California, Berkeley, CA, 94720, USA
| | - Timothy R Abbott
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Mengting Han
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Yanyu Zhu
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | | | - Xueqiu Lin
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Xinyi Chen
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Haifeng Wang
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Draven A Rane
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Jordan M Spatz
- Department of Pediatrics, Stanford University, Stanford, CA, 94305, USA
| | - Saket Jain
- University of California San Francisco, San Francisco, CA, 94143, USA
| | - Arjun Rustagi
- Department of Medicine, Stanford University, Stanford, CA, 94305, USA
| | - Benjamin Pinsky
- Department of Medicine, Stanford University, Stanford, CA, 94305, USA
- Department of Pathology, Stanford University, Stanford, CA, USA
| | | | | | | | | | - Nigel Temperton
- Viral Pseudotype Unit, Medway School of Pharmacy, Chatham, Kent ME4 4TB, UK
| | - Jennifer R Cochran
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | - Annelise E Barron
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA
| | | | - Catherine A Blish
- Department of Medicine, Stanford University, Stanford, CA, 94305, USA
- Chan Zuckerberg BioHub, San Francisco, CA, 94158, USA
| | - David B Lewis
- Department of Pediatrics, Stanford University, Stanford, CA, 94305, USA
| | - Sarah A Stanley
- Department of Molecular and Cellular Biology, University of California, Berkeley, CA, 94720, USA.
| | - Marie F La Russa
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
- Chan Zuckerberg BioHub, San Francisco, CA, 94158, USA.
- Sarafan ChEM-H, Stanford University, Stanford, CA, 94305, USA.
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7
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Xu X, Chemparathy A, Zeng L, Kempton HR, Shang S, Nakamura M, Qi LS. Engineered miniature CRISPR-Cas system for mammalian genome regulation and editing. Mol Cell 2021; 81:4333-4345.e4. [PMID: 34480847 DOI: 10.1016/j.molcel.2021.08.008] [Citation(s) in RCA: 147] [Impact Index Per Article: 49.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2021] [Revised: 06/29/2021] [Accepted: 08/05/2021] [Indexed: 12/17/2022]
Abstract
Compact and versatile CRISPR-Cas systems will enable genome engineering applications through high-efficiency delivery in a wide variety of contexts. Here, we create an efficient miniature Cas system (CasMINI) engineered from the type V-F Cas12f (Cas14) system by guide RNA and protein engineering, which is less than half the size of currently used CRISPR systems (Cas9 or Cas12a). We demonstrate that CasMINI can drive high levels of gene activation (up to thousands-fold increases), while the natural Cas12f system fails to function in mammalian cells. We show that the CasMINI system has comparable activities to Cas12a for gene activation, is highly specific, and allows robust base editing and gene editing. We expect that CasMINI can be broadly useful for cell engineering and gene therapy applications ex vivo and in vivo.
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Affiliation(s)
- Xiaoshu Xu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | | | - Leiping Zeng
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Hannah R Kempton
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Stephen Shang
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Muneaki Nakamura
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA; ChEM-H, Stanford University, Stanford, CA 94305, USA.
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Lin X, Liu Y, Chemparathy A, Pande T, La Russa M, Qi LS. A comprehensive analysis and resource to use CRISPR-Cas13 for broad-spectrum targeting of RNA viruses. Cell Rep Med 2021; 2:100245. [PMID: 33778788 PMCID: PMC7985958 DOI: 10.1016/j.xcrm.2021.100245] [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] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 02/20/2021] [Accepted: 03/17/2021] [Indexed: 12/26/2022]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) and variants has led to significant mortality. We recently reported that an RNA-targeting CRISPR-Cas13 system, called prophylactic antiviral CRISPR in human cells (PAC-MAN), offered an antiviral strategy against SARS-CoV-2 and influenza A virus. Here, we expand in silico analysis to use PAC-MAN to target a broad spectrum of human- or livestock-infectious RNA viruses with high specificity, coverage, and predicted efficiency. Our analysis reveals that a minimal set of 14 CRISPR RNAs (crRNAs) is able to target >90% of human-infectious viruses across 10 RNA virus families. We predict that a set of 5 experimentally validated crRNAs can target new SARS-CoV-2 variant sequences with zero mismatches. We also build an online resource (crispr-pacman.stanford.edu) to support community use of CRISPR-Cas13 for broad-spectrum RNA virus targeting. Our work provides a new bioinformatic resource for using CRISPR-Cas13 to target diverse RNA viruses to facilitate the development of CRISPR-based antivirals.
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Affiliation(s)
- Xueqiu Lin
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Yanxia Liu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Augustine Chemparathy
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Management Science and Engineering, Stanford University, Stanford, CA 94305, USA
| | - Tara Pande
- Los Altos High School, Los Altos, CA 94022, USA
| | - Marie La Russa
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Lei S. Qi
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
- Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA
- ChEM-H, Stanford University, Stanford, CA 94305, USA
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Abstract
Large-scale CRISPR-Cas pooled screens have shown great promise to investigate functional links between genotype and phenotype at the genome-wide scale. In addition to technological advancement, there is a need to develop computational methods to analyze the large datasets obtained from high-throughput CRISPR screens. Many computational methods have been developed to identify reliable gene hits from various screens. In this review, we provide an overview of the technology development of CRISPR screening platforms, with a focus on recent advances in computational methods to identify and model gene effects using CRISPR screen datasets. We also discuss existing challenges and opportunities for future computational methods development.
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Affiliation(s)
- Xueqiu Lin
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA
| | | | - Marie La Russa
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA
| | - Timothy Daley
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA
- Department of Statistics, Stanford University, Stanford, California 94305, USA
| | - Lei S. Qi
- Department of Bioengineering, Stanford University, Stanford, California 94305, USA
- Department of Chemical and Systems Biology and ChEM-H (Chemistry, Engineering, and Medicine for Human Health), Stanford University, Stanford, California 94305, USA
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Abbott TR, Dhamdhere G, Liu Y, Lin X, Goudy L, Zeng L, Chemparathy A, Chmura S, Heaton NS, Debs R, Pande T, Endy D, La Russa MF, Lewis DB, Qi LS. Development of CRISPR as an Antiviral Strategy to Combat SARS-CoV-2 and Influenza. Cell 2020; 181:865-876.e12. [PMID: 32353252 PMCID: PMC7189862 DOI: 10.1016/j.cell.2020.04.020] [Citation(s) in RCA: 285] [Impact Index Per Article: 71.3] [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: 03/11/2020] [Revised: 03/24/2020] [Accepted: 04/13/2020] [Indexed: 12/26/2022]
Abstract
The coronavirus disease 2019 (COVID-19) pandemic, caused by the SARS-CoV-2 virus, has highlighted the need for antiviral approaches that can target emerging viruses with no effective vaccines or pharmaceuticals. Here, we demonstrate a CRISPR-Cas13-based strategy, PAC-MAN (prophylactic antiviral CRISPR in human cells), for viral inhibition that can effectively degrade RNA from SARS-CoV-2 sequences and live influenza A virus (IAV) in human lung epithelial cells. We designed and screened CRISPR RNAs (crRNAs) targeting conserved viral regions and identified functional crRNAs targeting SARS-CoV-2. This approach effectively reduced H1N1 IAV load in respiratory epithelial cells. Our bioinformatic analysis showed that a group of only six crRNAs can target more than 90% of all coronaviruses. With the development of a safe and effective system for respiratory tract delivery, PAC-MAN has the potential to become an important pan-coronavirus inhibition strategy.
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Affiliation(s)
- Timothy R Abbott
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Girija Dhamdhere
- Department of Pediatrics, Stanford University, Stanford, CA 94305, USA
| | - Yanxia Liu
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Xueqiu Lin
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Laine Goudy
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Leiping Zeng
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Augustine Chemparathy
- Department of Management Science and Engineering, Stanford University, Stanford, CA 94305, USA
| | | | - Nicholas S Heaton
- Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC 27710, USA
| | | | - Tara Pande
- Los Altos High School, Los Altos, CA 94022, USA
| | - Drew Endy
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA
| | - Marie F La Russa
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.
| | - David B Lewis
- Department of Pediatrics, Stanford University, Stanford, CA 94305, USA.
| | - Lei S Qi
- Department of Bioengineering, Stanford University, Stanford, CA 94305, USA; Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA; ChEM-H, Stanford University, Stanford, CA 94305, USA.
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