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Kaplan RC, Williams-Nguyen JS, Huang Y, Mossavar-Rahmani Y, Yu B, Boerwinkle E, Gellman MD, Daviglus M, Chilcoat A, Van Horn L, Faurot K, Qi Q, Greenlee H. Identification of Dietary Supplements Associated with Blood Metabolites in the Hispanic Community Health Study/Study of Latinos Cohort Study. J Nutr 2023; 153:1483-1492. [PMID: 36822396 PMCID: PMC10356961 DOI: 10.1016/j.tjnut.2023.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2022] [Revised: 01/09/2023] [Accepted: 02/16/2023] [Indexed: 02/23/2023] Open
Abstract
BACKGROUND Metabolomics approaches have been widely used to define the consumption of foods but have less often been used to study exposure to dietary supplements. OBJECTIVES This study aimed to identify dietary supplements associated with metabolite levels and to examine whether these metabolites predicted incident diabetes risk. METHODS We studied 3972 participants from a prospective cohort study of 18-74-y-old Hispanic/Latino adults. At a baseline examination, we ascertained use of dietary supplements using recall methods and concurrently, a serum metabolomic panel. After adjustment for potential confounders, we identified dietary supplements associated with metabolites. We then examined the association of these metabolites with incident diabetes at the 6-y study examination. RESULTS We observed a total of 110 dietary supplement-metabolite associations that met the criteria for statistical significance adjusted for age, sex, field center, Hispanic/Latino background, body mass index, diet, smoking, physical activity, and number of medications (adjusted P < 0.05). This included 13 metabolites uniquely associated with only one dietary supplement ingredient. Vitamin C had the most associated metabolites (n = 15), including positive associations with oxalate, tartronate, threonate, and isocitrate, which were each in turn protective for the risk of incident diabetes. Vitamin C was also associated with higher N-acetylvaline level, which was an unfavorable diabetes risk factor. Other findings related to branched chain amino acid related compounds including α-hydroxyisovalerate and 2-hydroxy-3-methylvalerate, which were inversely associated with thiamine or riboflavin intake and also predicted higher diabetes risk. Vitamin B12 had an inverse association with γ-glutamylvaline, levels of which were positively associated with the risk of diabetes. CONCLUSIONS Our data point to potential metabolite changes associated with vitamin C and B vitamins, which may have favorable metabolic effects. Knowledge of blood metabolites that can be modified by dietary supplement intake may aid understanding the health effects of dietary supplements and identify potential biological mediators.
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Affiliation(s)
- Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | | | - Yuhan Huang
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Epidemiology, School of Public Health, University of Washington, Seattle, WA, USA
| | - Yasmin Mossavar-Rahmani
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, The University of Texas Health Science Center at Houston, Houston, TX, USA; Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
| | - Marc D Gellman
- Department of Psychology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Martha Daviglus
- Institute for Minority Health Research, University of Illinois-Chicago, Chicago, IL, USA
| | - Aisha Chilcoat
- Program on Integrative Medicine, Department of Physical Medicine & Rehabilitation, University of North Carolina-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Linda Van Horn
- Department of Preventive Medicine, Northwestern University School of Medicine, Chicago, IL, USA
| | - Kim Faurot
- Program on Integrative Medicine, Department of Physical Medicine & Rehabilitation, University of North Carolina-Chapel Hill School of Medicine, Chapel Hill, NC, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Heather Greenlee
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
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2
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Liu H, Ling W, Hua X, Moon JY, Williams-Nguyen JS, Zhan X, Plantinga AM, Zhao N, Zhang A, Knight R, Qi Q, Burk RD, Kaplan RC, Wu MC. Kernel-based genetic association analysis for microbiome phenotypes identifies host genetic drivers of beta-diversity. Microbiome 2023; 11:80. [PMID: 37081571 PMCID: PMC10116795 DOI: 10.1186/s40168-023-01530-0] [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] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 03/21/2023] [Indexed: 05/03/2023]
Abstract
BACKGROUND Understanding human genetic influences on the gut microbiota helps elucidate the mechanisms by which genetics may influence health outcomes. Typical microbiome genome-wide association studies (GWAS) marginally assess the association between individual genetic variants and individual microbial taxa. We propose a novel approach, the covariate-adjusted kernel RV (KRV) framework, to map genetic variants associated with microbiome beta-diversity, which focuses on overall shifts in the microbiota. The KRV framework evaluates the association between genetics and microbes by comparing similarity in genetic profiles, based on groups of variants at the gene level, to similarity in microbiome profiles, based on the overall microbiome composition, across all pairs of individuals. By reducing the multiple-testing burden and capturing intrinsic structure within the genetic and microbiome data, the KRV framework has the potential of improving statistical power in microbiome GWAS. RESULTS We apply the covariate-adjusted KRV to the Hispanic Community Health Study/Study of Latinos (HCHS/SOL) in a two-stage (first gene-level, then variant-level) genome-wide association analysis for gut microbiome beta-diversity. We have identified an immunity-related gene, IL23R, reported in a previous microbiome genetic association study and discovered 3 other novel genes, 2 of which are involved in immune functions or autoimmune disorders. In addition, simulation studies show that the covariate-adjusted KRV has a greater power than other microbiome GWAS methods that rely on univariate microbiome phenotypes across a range of scenarios. CONCLUSIONS Our findings highlight the value of the covariate-adjusted KRV as a powerful microbiome GWAS approach and support an important role of immunity-related genes in shaping the gut microbiome composition. Video Abstract.
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Affiliation(s)
- Hongjiao Liu
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Wodan Ling
- Division of Biostatistics, Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, 10065, USA
| | - Xing Hua
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Jessica S Williams-Nguyen
- Institute for Research and Education to Advance Community Health, Washington State University, Seattle, WA, 98101, USA
| | - Xiang Zhan
- Department of Biostatistics and Beijing International Center for Mathematical Research, Peking University, Beijing, 100191, China
| | - Anna M Plantinga
- Department of Mathematics and Statistics, Williams College, Williamstown, MA, 01267, USA
| | - Ni Zhao
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Angela Zhang
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
| | - Rob Knight
- Departments of Pediatrics, Computer Science & Engineering, and Bioengineering; Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
- Departments of Pediatrics; Microbiology & Immunology; and, Obstetrics, Gynecology & Women's Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Robert C Kaplan
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Michael C Wu
- Department of Biostatistics, University of Washington, Seattle, WA, 98195, USA.
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, 98109, USA.
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3
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Wang Z, Usyk M, Vázquez-Baeza Y, Chen GC, Isasi CR, Williams-Nguyen JS, Hua S, McDonald D, Thyagarajan B, Daviglus ML, Cai J, North KE, Wang T, Knight R, Burk RD, Kaplan RC, Qi Q. Microbial co-occurrence complicates associations of gut microbiome with US immigration, dietary intake and obesity. Genome Biol 2021; 22:336. [PMID: 34893089 PMCID: PMC8665519 DOI: 10.1186/s13059-021-02559-w] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [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: 02/15/2021] [Accepted: 11/23/2021] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Obesity and related comorbidities are major health concerns among many US immigrant populations. Emerging evidence suggests a potential involvement of the gut microbiome. Here, we evaluated gut microbiome features and their associations with immigration, dietary intake, and obesity in 2640 individuals from a population-based study of US Hispanics/Latinos. RESULTS The fecal shotgun metagenomics data indicate that greater US exposure is associated with reduced ɑ-diversity, reduced functions of fiber degradation, and alterations in individual taxa, potentially related to a westernized diet. However, a majority of gut bacterial genera show paradoxical associations, being reduced with US exposure and increased with fiber intake, but increased with obesity. The observed paradoxical associations are not explained by host characteristics or variation in bacterial species but might be related to potential microbial co-occurrence, as seen by positive correlations among Roseburia, Prevotella, Dorea, and Coprococcus. In the conditional analysis with mutual adjustment, including all genera associated with both obesity and US exposure in the same model, the positive associations of Roseburia and Prevotella with obesity did not persist, suggesting that their positive associations with obesity might be due to their co-occurrence and correlations with obesity-related taxa, such as Dorea and Coprococcus. CONCLUSIONS Among US Hispanics/Latinos, US exposure is associated with unfavorable gut microbiome profiles for obesity risk, potentially related to westernized diet during acculturation. Microbial co-occurrence could be an important factor to consider in future studies relating individual gut microbiome taxa to environmental factors and host health and disease.
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Affiliation(s)
- Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Mykhaylo Usyk
- Departments of Pediatrics, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Yoshiki Vázquez-Baeza
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA USA
- Jacobs School of Engineering, University of California, San Diego, La Jolla, CA USA
| | - Guo-Chong Chen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | | | - Simin Hua
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Daniel McDonald
- Department of Pediatrics, University of California, San Diego, La Jolla, CA USA
| | | | | | - Jianwen Cai
- University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Kari E. North
- University of North Carolina at Chapel Hill, Chapel Hill, NC USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA USA
- Department of Pediatrics, University of California, San Diego, La Jolla, CA USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA USA
| | - Robert D. Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
- Department of Obstetrics & Gynecology and Women’s Health, Albert Einstein College of Medicine, Bronx, NY USA
- Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY USA
| | - Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA USA
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4
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Kaplan RC, Baldoni PL, Strizich GM, Pérez-Stable EJ, Saccone NL, Peralta CA, Perreira KM, Gellman MD, Williams-Nguyen JS, Rodriguez CJ, Lee DJ, Daviglus M, Talavera GA, Lash JP, Cai J, Franceschini N. Current Smoking Raises Risk of Incident Hypertension: Hispanic Community Health Study-Study of Latinos. Am J Hypertens 2021; 34:190-197. [PMID: 32968788 DOI: 10.1093/ajh/hpaa152] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [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: 04/28/2020] [Revised: 08/28/2020] [Accepted: 09/22/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Hypertension has been implicated as a smoking-related risk factor for cardiovascular disease but the dose-response relationship is incompletely described. Hispanics, who often have relatively light smoking exposures, have been understudied in this regard. METHODS We used data from a 6-year follow-up study of US Hispanic adults aged 18-76 to address the dose-response linking cigarette use with incident hypertension, which was defined by measured blood pressure above 140/90 mm Hg or initiation of antihypertensive medications. Adjustment was performed for potential confounders and mediators, including urinary albumin-to-creatinine ratio which worsened over time among smokers. RESULTS Current smoking was associated with incident hypertension, with a threshold effect above 5 cumulative pack-years of smoking (vs. never smokers, hazard ratio for hypertension [95% confidence interval] of 0.95 [0.67, 1.35] for 0-5 pack-years, 1.47 [1.05, 2.06] for 5-10 pack-years, 1.40 [1.00, 1.96] for 10-20 pack-years, and 1.34 [1.09, 1.66] for ≥20 pack-years, P = 0.037). In contrast to current smokers, former smokers did not appear to have increased risk of hypertension, even at the highest cumulative pack-years of past exposure. CONCLUSIONS The results confirm that smoking constitutes a hypertension risk factor in Hispanic adults. A relatively modest cumulative dose of smoking, above 5 pack-years of exposure, raises risk of hypertension by over 30%. The increased hypertension risk was confined to current smokers, and did not increase further with higher pack-year levels. The lack of a smoking-hypertension association in former smokers underscores the value of smoking cessation.
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Affiliation(s)
- Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA
| | - Pedro L Baldoni
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA
| | - Garrett M Strizich
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Eliseo J Pérez-Stable
- National Institute on Minority Health and Health Disparities, Bethesda, Maryland, USA
| | - Nancy L Saccone
- Division of Biology and Biomedical Sciences, Washington University, St. Louis, Missouri, USA
| | - Carmen A Peralta
- Department of Medicine, University of California-San Francisco, San Francisco, California, USA
| | - Krista M Perreira
- Department of Social Medicine, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA
| | - Marc D Gellman
- Department of Psychology, University of Miami, Miami, Florida, USA
| | | | - Carlos J Rodriguez
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - David J Lee
- Department of Public Health Sciences, University of Miami, Coral Gables, Florida, USA
| | - Martha Daviglus
- Department of Medicine, University of Illinois-Chicago, Chicago, Illinois, USA
| | - Gregory A Talavera
- School of Public Health, San Diego State University, San Diego, California, USA
| | - James P Lash
- Department of Medicine, University of Illinois-Chicago, Chicago, Illinois, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA
| | - Nora Franceschini
- Department of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, USA
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5
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Mei Z, Chen GC, Wang Z, Usyk M, Yu B, Baeza YV, Humphrey G, Benitez RS, Li J, Williams-Nguyen JS, Daviglus ML, Hou L, Cai J, Zheng Y, Knight R, Burk RD, Boerwinkle E, Kaplan RC, Qi Q. Dietary factors, gut microbiota, and serum trimethylamine-N-oxide associated with cardiovascular disease in the Hispanic Community Health Study/Study of Latinos. Am J Clin Nutr 2021; 113:1503-1514. [PMID: 33709132 PMCID: PMC8168354 DOI: 10.1093/ajcn/nqab001] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Accepted: 01/04/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Trimethylamine-N-oxide (TMAO), a diet-derived and gut microbiota-related metabolite, is associated with cardiovascular disease (CVD). However, major dietary determinants and specific gut bacterial taxa related to TMAO remain to be identified in humans. OBJECTIVES We aimed to identify dietary and gut microbial factors associated with circulating TMAO. METHODS This cross-sectional study included 3972 participants (57.3% women) aged 18-74 y from the Hispanic Community Health Study/Study of Latinos in the United States. Dietary information was collected by 24-h dietary recalls at baseline interview (2008-2011), and baseline serum TMAO and its precursors were measured by an untargeted approach. Gut microbiome was profiled by shotgun metagenomic sequencing in a subset of participants (n = 626) during a follow-up visit (2016-2018). Logistic and linear regression were used to examine associations of inverse-normalized metabolites with prevalent CVD, dietary intake, and bacterial species, respectively, after adjustment for sociodemographic, behavioral, and clinical factors. RESULTS TMAO was positively associated with prevalent CVD (case number = 279; OR = 1.34; 95% CI: 1.17, 1.54, per 1-SD). Fish (P = 1.26 × 10-17), red meat (P = 3.33 × 10-16), and egg (P = 3.89 × 10-5) intakes were top dietary factors positively associated with TMAO. We identified 9 gut bacterial species significantly associated with TMAO (false discovery rate <0.05). All 4 species positively associated with TMAO belong to the order Clostridiales, of which 3 might have homologous genes encoding carnitine monooxygenase, an enzyme converting carnitine to trimethylamine (TMA). The red meat-TMAO association was more pronounced in participants with higher abundances of these 4 species compared with those with lower abundance (Pinteraction = 0.013), but such microbial modification was not observed for fish-TMAO or egg-TMAO associations. CONCLUSION In US Hispanics/Latinos, fish, red meat, and egg intakes are major dietary factors associated with serum TMAO. The identified potential TMA-producing gut microbiota and microbial modification on the red meat-TMAO association support microbial TMA production from dietary carnitine, whereas the fish-TMAO association is independent of gut microbiota.
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Affiliation(s)
- Zhendong Mei
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China,Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Guo-Chong Chen
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mykhaylo Usyk
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Bing Yu
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Greg Humphrey
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | | | - Jun Li
- Department of Nutrition and Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | | | - Martha L Daviglus
- Institute of Minority Health Research, University of Illinois College of Medicine, Chicago, IL, USA
| | - Lifang Hou
- Institute for Public Health and Medicine, Northwestern University, Chicago, IL, USA
| | - Jianwen Cai
- Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yan Zheng
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, and School of Life Sciences, Fudan University, Shanghai, China,Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Rob Knight
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA,Department of Computer Science and Engineering, Jacobs School of Engineering, and Center for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA,Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA,Department of Microbiology and Immunology, and Department of Obstetrics, Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Eric Boerwinkle
- Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA,Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Qibin Qi
- Address correspondence to QQ (E-mail: )
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6
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Kaplan RC, Wang Z, Usyk M, Sotres-Alvarez D, Daviglus ML, Schneiderman N, Talavera GA, Gellman MD, Thyagarajan B, Moon JY, Vázquez-Baeza Y, McDonald D, Williams-Nguyen JS, Wu MC, North KE, Shaffer J, Sollecito CC, Qi Q, Isasi CR, Wang T, Knight R, Burk RD. Author Correction: Gut microbiome composition in the Hispanic Community Health Study/Study of Latinos is shaped by geographic relocation, environmental factors, and obesity. Genome Biol 2020; 21:50. [PMID: 32098632 PMCID: PMC7043042 DOI: 10.1186/s13059-020-01970-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [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: 11/10/2022] Open
Abstract
Following publication of the original paper [1], an error was reported in the third paragraph in the section "Analysis of GMB composition and its correlates" (page 3 of the PDF). The first sentence of the text should refer to Table 2, but mistakenly refers to Table 1.
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Affiliation(s)
- Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA. .,Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Mykhaylo Usyk
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago College of Medicine, Chicago, IL, USA
| | | | - Gregory A Talavera
- Division of Health Promotion and Behavioral Science, San Diego State University, San Diego, CA, USA
| | - Marc D Gellman
- Department of Psychology, University of Miami, Miami, FL, USA
| | - Bharat Thyagarajan
- Division of Molecular Pathology and Genomics, University of Minnesota, Minneapolis, MN, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Yoshiki Vázquez-Baeza
- Jacobs School of Engineering, University of California, San Diego, La Jolla, CA, USA.,Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - Daniel McDonald
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | | | - Michael C Wu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA
| | - Justin Shaffer
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
| | | | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Carmen R Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA.,Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA.,Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA.,Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY, 10461, USA.,Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA.,Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
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7
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Kaplan RC, Wang Z, Usyk M, Sotres-Alvarez D, Daviglus ML, Schneiderman N, Talavera GA, Gellman MD, Thyagarajan B, Moon JY, Vázquez-Baeza Y, McDonald D, Williams-Nguyen JS, Wu MC, North KE, Shaffer J, Sollecito CC, Qi Q, Isasi CR, Wang T, Knight R, Burk RD. Gut microbiome composition in the Hispanic Community Health Study/Study of Latinos is shaped by geographic relocation, environmental factors, and obesity. Genome Biol 2019; 20:219. [PMID: 31672155 PMCID: PMC6824043 DOI: 10.1186/s13059-019-1831-z] [Citation(s) in RCA: 70] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 09/23/2019] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Hispanics living in the USA may have unrecognized potential birthplace and lifestyle influences on the gut microbiome. We report a cross-sectional analysis of 1674 participants from four centers of the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), aged 18 to 74 years old at recruitment. RESULTS Amplicon sequencing of 16S rRNA gene V4 and fungal ITS1 fragments from self-collected stool samples indicate that the host microbiome is determined by sociodemographic and migration-related variables. Those who relocate from Latin America to the USA at an early age have reductions in Prevotella to Bacteroides ratios that persist across the life course. Shannon index of alpha diversity in fungi and bacteria is low in those who relocate to the USA in early life. In contrast, those who relocate to the USA during adulthood, over 45 years old, have high bacterial and fungal diversity and high Prevotella to Bacteroides ratios, compared to USA-born and childhood arrivals. Low bacterial diversity is associated in turn with obesity. Contrasting with prior studies, our study of the Latino population shows increasing Prevotella to Bacteroides ratio with greater obesity. Taxa within Acidaminococcus, Megasphaera, Ruminococcaceae, Coriobacteriaceae, Clostridiales, Christensenellaceae, YS2 (Cyanobacteria), and Victivallaceae are significantly associated with both obesity and earlier exposure to the USA, while Oscillospira and Anaerotruncus show paradoxical associations with both obesity and late-life introduction to the USA. CONCLUSIONS Our analysis of the gut microbiome of Latinos demonstrates unique features that might be responsible for health disparities affecting Hispanics living in the USA.
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Affiliation(s)
- Robert C. Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Mykhaylo Usyk
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY USA
| | - Daniela Sotres-Alvarez
- Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC USA
| | - Martha L. Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago College of Medicine, Chicago, IL USA
| | | | - Gregory A. Talavera
- Division of Health Promotion and Behavioral Science, San Diego State University, San Diego, CA USA
| | - Marc D. Gellman
- Department of Psychology, University of Miami, Miami, FL USA
| | - Bharat Thyagarajan
- Division of Molecular Pathology and Genomics, University of Minnesota, Minneapolis, MN USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Yoshiki Vázquez-Baeza
- Jacobs School of Engineering, University of California, San Diego, La Jolla, CA USA
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA USA
| | - Daniel McDonald
- Department of Pediatrics, University of California, San Diego, La Jolla, CA USA
| | | | - Michael C. Wu
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA USA
| | - Kari E. North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC USA
| | - Justin Shaffer
- Department of Pediatrics, University of California, San Diego, La Jolla, CA USA
| | | | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Carmen R. Isasi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA USA
- Department of Pediatrics, University of California, San Diego, La Jolla, CA USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA USA
| | - Robert D. Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461 USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY USA
- Department of Microbiology & Immunology, Albert Einstein College of Medicine, Bronx, NY USA
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8
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Kim HN, Nance RM, Williams-Nguyen JS, Chris Delaney JA, Crane HM, Cachay ER, Martin J, Mathews WC, Chander G, Franco R, Hurt CB, Geng EH, Rodriguez B, Moore RD, Saag MS, Kitahata MM. Effectiveness of Direct-Acting Antiviral Therapy in Patients With Human Immunodeficiency Virus-Hepatitis C Virus Coinfection in Routine Clinical Care: A Multicenter Study. Open Forum Infect Dis 2019; 6:ofz100. [PMID: 30949539 PMCID: PMC6441587 DOI: 10.1093/ofid/ofz100] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Accepted: 02/25/2019] [Indexed: 02/06/2023] Open
Abstract
Background Direct-acting antiviral (DAA) therapy have been shown to be highly successful in clinical trials and observational studies, but less is known about treatment success in patients with a high burden of comorbid conditions, including mental health and substance use disorders. We evaluated DAA effectiveness across a broad spectrum of patients with human immunodeficiency virus (HIV)-hepatitis C virus (HCV) coinfection in routine clinical care, including those with psychosocial comorbid conditions. Methods The primary end point was sustained virologic response (SVR), defined as HCV RNA not detected or <25 IU/mL ≥10 weeks after treatment. We calculated SVR rates and 95% confidence intervals (CIs) in a modified intent-to-treat analysis. We repeated this analysis after multiply imputing missing SVR values. Results Among 642 DAA-treated patients, 536 had SVR assessments. The median age was 55 years; 79% were men, 59% black, and 32% white. Cirrhosis (fibrosis-4 index>3.25) was present in 24%, and 17% were interferon treatment experienced; 96% had genotype 1 infection and 432 (81%) had received ledipasvir-sofosbuvir. SVR occurred in 96.5% (95% CI, 94.5%-97.9%). Patients who were black, treatment experienced, or cirrhotic all had SVR rates >95%. Patients with depression and/or anxiety, psychotic disorder, illicit drug use, or alcohol use disorder also had high SVR rates, ranging from 95.4% to 96.8%. The only factor associated with lower SVR rate was early discontinuation (77.8%; 95% CI, 52.4%-93.6%). Similar results were seen in multiply imputed data sets. Conclusions Our study represents a large multicenter examination of DAA therapy in HIV/HCV-coinfected patients. The broad treatment success we observed across this diverse group of patients with significant comorbid conditions is highly affirming and argues for widespread implementation of DAA therapy.
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Affiliation(s)
- H Nina Kim
- Department of Medicine, University of Washington, Seattle
| | - Robin M Nance
- Department of Medicine, University of Washington, Seattle
| | | | | | - Heidi M Crane
- Department of Medicine, University of Washington, Seattle
| | | | - Jeffrey Martin
- Department of Medicine, University of California, San Francisco
| | | | | | - Ricardo Franco
- Department of Medicine, University of Alabama, Birmingham
| | - Christopher B Hurt
- Institute for Global Health & Infectious Diseases, University of North Carolina, Chapel Hill
| | - Elvin H Geng
- Department of Medicine, University of California, San Francisco
| | | | - Richard D Moore
- Department of Medicine, Johns Hopkins University, Baltimore, Maryland
| | - Michael S Saag
- Department of Medicine, University of Alabama, Birmingham
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