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Piperni E, Nguyen LH, Manghi P, Kim H, Pasolli E, Andreu-Sánchez S, Arrè A, Bermingham KM, Blanco-Míguez A, Manara S, Valles-Colomer M, Bakker E, Busonero F, Davies R, Fiorillo E, Giordano F, Hadjigeorgiou G, Leeming ER, Lobina M, Masala M, Maschio A, McIver LJ, Pala M, Pitzalis M, Wolf J, Fu J, Zhernakova A, Cacciò SM, Cucca F, Berry SE, Ercolini D, Chan AT, Huttenhower C, Spector TD, Segata N, Asnicar F. Intestinal Blastocystis is linked to healthier diets and more favorable cardiometabolic outcomes in 56,989 individuals from 32 countries. Cell 2024; 187:4554-4570.e18. [PMID: 38981480 DOI: 10.1016/j.cell.2024.06.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Revised: 02/23/2024] [Accepted: 06/11/2024] [Indexed: 07/11/2024]
Abstract
Diet impacts human health, influencing body adiposity and the risk of developing cardiometabolic diseases. The gut microbiome is a key player in the diet-health axis, but while its bacterial fraction is widely studied, the role of micro-eukaryotes, including Blastocystis, is underexplored. We performed a global-scale analysis on 56,989 metagenomes and showed that human Blastocystis exhibits distinct prevalence patterns linked to geography, lifestyle, and dietary habits. Blastocystis presence defined a specific bacterial signature and was positively associated with more favorable cardiometabolic profiles and negatively with obesity (p < 1e-16) and disorders linked to altered gut ecology (p < 1e-8). In a diet intervention study involving 1,124 individuals, improvements in dietary quality were linked to weight loss and increases in Blastocystis prevalence (p = 0.003) and abundance (p < 1e-7). Our findings suggest a potentially beneficial role for Blastocystis, which may help explain personalized host responses to diet and downstream disease etiopathogenesis.
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Affiliation(s)
- Elisa Piperni
- Department CIBIO, University of Trento, Trento, Italy; IEO, Istituto Europeo di Oncologia IRCSS, Milan, Italy
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA; Harvard Chan Microbiome in Public Health Center, Boston, MA, USA
| | - Paolo Manghi
- Department CIBIO, University of Trento, Trento, Italy
| | - Hanseul Kim
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA
| | - Edoardo Pasolli
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
| | - Sergio Andreu-Sánchez
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alberto Arrè
- Department CIBIO, University of Trento, Trento, Italy; Zoe Ltd, London, UK
| | - Kate M Bermingham
- Zoe Ltd, London, UK; Department of Nutritional Sciences, King's College London, London, UK
| | | | - Serena Manara
- Department CIBIO, University of Trento, Trento, Italy
| | | | | | - Fabio Busonero
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | | | - Edoardo Fiorillo
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | | | | | - Emily R Leeming
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
| | - Monia Lobina
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - Marco Masala
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - Andrea Maschio
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | | | - Mauro Pala
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | - Maristella Pitzalis
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy
| | | | - Jingyuan Fu
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands; Department of Pediatrics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Alexandra Zhernakova
- Department of Genetics, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Simone M Cacciò
- Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, Italy
| | - Francesco Cucca
- Istituto di Ricerca Genetica e Biomedica, Consiglio Nazionale delle Ricerche (CNR), Monserrato, Cagliari, Italy; Dipartimento di Scienze Biomediche, Università degli Studi di Sassari, Sassari, Italy
| | - Sarah E Berry
- Department of Nutritional Sciences, King's College London, London, UK
| | - Danilo Ercolini
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, MA, USA; Harvard Chan Microbiome in Public Health Center, Boston, MA, USA
| | - Curtis Huttenhower
- Harvard T.H. Chan School of Public Health, Boston, MA, USA; The Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Tim D Spector
- Department of Twins Research and Genetic Epidemiology, King's College London, London, UK
| | - Nicola Segata
- Department CIBIO, University of Trento, Trento, Italy; IEO, Istituto Europeo di Oncologia IRCSS, Milan, Italy; Department of Twins Research and Genetic Epidemiology, King's College London, London, UK.
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Zhu Y, Shutta KH, Huang T, Balasubramanian R, Zeleznik OA, Clish CB, Ávila-Pacheco J, Hankinson SE, Kubzansky LD. Persistent PTSD symptoms are associated with plasma metabolic alterations relevant to long-term health: A metabolome-wide investigation in women. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.08.07.24311628. [PMID: 39148851 PMCID: PMC11326341 DOI: 10.1101/2024.08.07.24311628] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Background Posttraumatic stress disorder (PTSD) is characterized by severe distress and associated with cardiometabolic diseases. Studies in military and clinical populations suggest dysregulated metabolomic processes may be a key mechanism. Prior work identified and validated a metabolite-based distress score (MDS) linked with depression and anxiety and subsequent cardiometabolic diseases. Here, we assessed whether PTSD shares metabolic alterations with depression and anxiety and also if additional metabolites are related to PTSD. Methods We leveraged plasma metabolomics data from three subsamples nested within the Nurses' Health Study II, including 2835 women with 2950 blood samples collected across three timepoints (1996-2014) and 339 known metabolites consistently assayed by mass spectrometrybased techniques. Trauma and PTSD exposures were assessed in 2008 and characterized as follows: lifetime trauma without PTSD, lifetime PTSD in remission, and persistent PTSD symptoms. Associations between the exposures and the MDS or individual metabolites were estimated within each subsample adjusting for potential confounders and combined in random-effects meta-analyses. Results Persistent PTSD symptoms were associated with higher levels of the previously developed MDS for depression and anxiety. Out of 339 metabolites, we identified nine metabolites (primarily elevated glycerophospholipids) associated with persistent symptoms (false discovery rate<0.05). No metabolite associations were found with the other PTSD-related exposures. Conclusions As the first large-scale, population-based metabolomics analysis of PTSD, our study highlighted shared and distinct metabolic differences linked to PTSD versus depression or anxiety. We identified novel metabolite markers associated with PTSD symptom persistence, suggesting further connections with metabolic dysregulation that may have downstream consequences for health.
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Affiliation(s)
- Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Katherine H. Shutta
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Oana A. Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Clary B. Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Julián Ávila-Pacheco
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Susan E. Hankinson
- Department of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, USA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA
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3
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Wang K, Lo CH, Mehta RS, Nguyen LH, Wang Y, Ma W, Ugai T, Kawamura H, Ugai S, Takashima Y, Mima K, Arima K, Okadome K, Giannakis M, Sears CL, Meyerhardt JA, Ng K, Segata N, Izard J, Rimm EB, Garrett WS, Huttenhower C, Giovannucci EL, Chan AT, Ogino S, Song M. An Empirical Dietary Pattern Associated with the Gut Microbial Features in Relation to Colorectal Cancer Risk. Gastroenterology 2024:S0016-5085(24)05300-9. [PMID: 39117122 DOI: 10.1053/j.gastro.2024.07.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 07/02/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND & AIMS Epidemiologic evidence for dietary influence on colorectal cancer (CRC) risk through the gut microbiome remains limited. METHODS Leveraging 307 men and 212 women with stool metagenomes and dietary data, we characterized and validated a sex-specific dietary pattern associated with the CRC-related gut microbial signature (CRC Microbial Dietary Score [CMDS]). We evaluated the associations of CMDS with CRC risk according to Fusobacterium nucleatum, pks+Escherichia coli, and enterotoxigenic Bacteroides fragilis status in tumor tissue using Cox proportional hazards regression in the Health Professionals Follow-Up Study (1986-2018), Nurses' Health Study (1984-2020), and Nurses' Health Study II (1991-2019). RESULTS The CMDS was characterized by high industrially processed food and low unprocessed fiber-rich food intakes. In 259,200 participants, we documented 3854 incident CRC cases over 6,467,378 person-years of follow-up. CMDS was associated with a higher risk of CRC (Ptrend < .001), with a multivariable hazard ratio (HRQ5 vs Q1) of 1.25 (95% CI, 1.13-1.39). The association remained after adjusting for previously established dietary patterns, for example, the Western and prudent diets. Notably, the association was stronger for tumoral F nucleatum-positive (HRQ5 vs Q1, 2.51; 95% CI, 1.68-3.75; Ptrend < .001; Pheterogeneity = .03, positivity vs negativity), pks+E coli-positive (HRQ5 vs Q1, 1.68; 95% CI, 0.84-3.38; Ptrend = .005; Pheterogeneity = .01, positivity vs negativity), and enterotoxigenic Bacteroides fragilis-positive CRC (HRQ5 vs Q1, 2.06; 95% CI, 1.10-3.88; Ptrend = .016; Pheterogeneity = .06, positivity vs negativity), compared with their negative counterparts. CONCLUSIONS CMDS was associated with increased CRC risk, especially for tumors with detectable F nucleatum, pks+E coli, and enterotoxigenic Bacteroides fragilis in tissue. Our findings support a potential role of the gut microbiome underlying the dietary effects on CRC.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Chun-Han Lo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Department of Internal Medicine, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, Nevada
| | - Raaj S Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yiqing Wang
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Tomotaka Ugai
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Hidetaka Kawamura
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Satoko Ugai
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Yasutoshi Takashima
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kosuke Mima
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kota Arima
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kazuo Okadome
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Marios Giannakis
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Cynthia L Sears
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jeffrey A Meyerhardt
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kimmie Ng
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Nicola Segata
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy; European Institute of Oncology Scientific Institute for Research, Hospitalization and Healthcare, Milan, Italy
| | - Jacques Izard
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska; Frederick F. Paustian Inflammatory Bowel Disease Center, University of Nebraska Medical Center, Omaha, Nebraska
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Wendy S Garrett
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts; Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts; Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber/Harvard Cancer Center, Boston, Massachusetts; Tokyo Medical and Dental University, Institute of Science Tokyo, Tokyo, Japan
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Żebrowska M, Strohmaier S, Huttenhower C, Eliassen AH, Zeleznik OA, Westgarth C, Huang T, Laden F, Hart JE, Rosner B, Kawachi I, Chavarro JE, Okereke OI, Schernhammer ES. Pet Attachment and Anxiety and Depression in Middle-Aged and Older Women. JAMA Netw Open 2024; 7:e2424810. [PMID: 39088217 PMCID: PMC11294964 DOI: 10.1001/jamanetworkopen.2024.24810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2024] [Accepted: 05/29/2024] [Indexed: 08/02/2024] Open
Abstract
Importance Understanding how attachment to pets can alleviate depression and anxiety offers valuable insights for developing preventive and therapeutic strategies, particularly for those with insecure attachment styles from childhood trauma. Objective To determine if a close bond with a pet is associated with reduced depression and anxiety, especially among women who experienced childhood abuse. Design, Setting, and Participants This cross-sectional study involved women who voluntarily enrolled in the Mind Body Study (MBS), a substudy of the Nurses' Health Study II (NHS2) focusing on psychosocial factors. Women reporting childhood abuse were oversampled to capture their psychosocial distress in adulthood. MBS participants were invited to complete comprehensive online questionnaires, which were administered twice (March 2013 and February 2014). Exposure Pet attachment measured by Lexington Attachment to Pets Scale (LAPS). Main Outcomes and Measures Levels of depression and anxiety (10-item Centre for Epidemiologic Studies Depression Scale [CESD-10]; Kessler Psychological Distress Scale [K6]; 7-item Generalized Anxiety Disorder scale [GAD-7]; Crown Crisp Experiential Index phobic anxiety subscale [CCI]), considered individually and combined into an overall z-score measure of anxiety and depression symptoms. Results A total of 214 women (mean [SD] age, 60.8 [3.9] years) were included; 156 women (72.6%) reported a history of childhood abuse. Of 688 invited MBS participants in 2013, 293 (42.6%) expressed interest; there were 228 completed questionnaires (response rate, 77.8%) in 2013 and 208 questionnaires (response rate, 71.0%) in 2014. LAPS scores were provided by 140 participants (65.4%), 78 (55.7%) for dogs and 46 (32.9%) for cats. Overall higher pet attachment on the LAPS score was significantly associated with lower GAD-7 scores (β = -0.17; 95% CI, -0.29 to -0.06), but there was no association for phobic anxiety or depression. There were no statistically significant associations between cat attachment and depression or anxiety. Higher dog attachment was associated with significantly lower scores in depression (CESD-10: β, -0.47; 95% CI, -0.68 to -0.26; K6: β = -0.42; 95% CI, -0.54 to -0.31), generalized anxiety (GAD-7: β = -0.47; 95% CI, -0.65 to -0.3), and the overall measure of anxiety and depression (z score: β = -0.12; 95% CI, -0.17 to -0.08), but there was no association between dog attachment and phobic anxiety (CCI: β = -0.08; 95% CI, -0.24 to 0.09). All effect sizes for associations were higher when analyses were restricted to women with a history of childhood abuse. Conclusions and relevance In this explorative cross-sectional study, strong attachment to pets, especially dogs, was associated with lower anxiety and depression symptoms. The favorable association was particularly apparent in women with a history of childhood abuse.
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Affiliation(s)
- Magdalena Żebrowska
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Susanne Strohmaier
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Broad Institute of Harvard and MIT, Cambridge, Massachusetts
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Oana A. Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Carri Westgarth
- Department of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, United Kingdom
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Francine Laden
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jaime E. Hart
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Bernard Rosner
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Ichiro Kawachi
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jorge E. Chavarro
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Olivia I. Okereke
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Eva S. Schernhammer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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5
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Guimond AJ, Ke S, Tworoger SS, Huang T, Chan AT, Kubzansky LD, Liu YY. Fulfilled Mind, Healthy Gut? Relationships of Eudaimonic Psychological Well-Being With the Gut Microbiome in Postmenopausal Women. Psychosom Med 2024; 86:398-409. [PMID: 38345311 PMCID: PMC11142870 DOI: 10.1097/psy.0000000000001278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/20/2024]
Abstract
OBJECTIVE Eudaimonic facets of psychological well-being (PWB), like purpose in life and sense of mastery, are associated with healthy aging. Variation in the gut microbiome may be one pathway by which mental health influences age-related health outcomes. However, associations between eudaimonic PWB and the gut microbiome are understudied. We examined whether purpose in life and sense of mastery, separately, were associated with features of the gut microbiome in older women. METHODS Participants were from the Mind-Body Study ( N = 206, mean age = 61 years), a substudy of the Nurses' Health Study II cohort. In 2013, participants completed the Life Engagement Test and the Pearlin Mastery Scale. Three months later, up to two pairs of stool samples were collected, 6 months apart. Covariates included sociodemographics, depression, health status, and health behaviors. Analyses examined associations of PWB with gut microbiome taxonomic diversity, overall community structure, and specific species/pathways. To account for multiple testing, statistical significance was established using Benjamini-Hochberg adjusted p values (i.e., q values ≤0.25). RESULTS We found no evidence of an association between PWB and gut microbiome alpha diversity. In multivariate analysis, higher purpose levels were significantly associated with lower abundance of species previously linked with poorer health outcomes, notably Blautia hydrogenotrophica and Eubacterium ventriosum ( q values ≤0.25). No significant associations were found between PWB and metabolic pathways. CONCLUSIONS These findings offer early evidence suggesting that eudaimonic PWB is linked with variation in the gut microbiome, and this might be one pathway by which PWB promotes healthy aging.
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Affiliation(s)
- Anne-Josee Guimond
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Shanlin Ke
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USA
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T. H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Yang-Yu Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, 02115, USA
- Center for Artificial Intelligence and Modeling, The Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA
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6
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Denckla CA, Hahn J, Cowden RG, Ho S, Gao K, Espinosa Dice AL, Jha SC, Kang JH, Shear MK. Bereavement, Memorial Attendance, and Mental Health During the COVID-19 Pandemic: Longitudinal Results from the Nurses' Health Study. Am J Geriatr Psychiatry 2023; 31:1045-1057. [PMID: 37460375 PMCID: PMC10299945 DOI: 10.1016/j.jagp.2023.06.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/12/2023] [Accepted: 06/13/2023] [Indexed: 07/20/2023]
Abstract
BACKGROUND Mortality increased during the COVID-19 pandemic. Many bereaved individuals were not able to gather to memorialize their loved ones, yet it is unknown if this contributed to worsening mental health. OBJECTIVE Examine the association of bereavement in the early part of the COVID-19 pandemic with subsequent psychological distress and the role of memorial attendance in reducing psychological distress among the bereaved. DESIGN, SETTINGS, SUBJECTS In May 2020, 39,564 older females from the Nurses' Health Study II enrolled in a longitudinal COVID-19 substudy (meanage = 65.2 years, SD = 4.5). METHODS Linear regression analyses estimated associations of bereavement reported between March and October, 2020 with subsequent psychological distress between January and October 2021, adjusting for sociodemographic and prepandemic depression symptoms. Secondary models examined associations between memorial attendance and psychological distress. RESULTS Bereavement during the early part of the COVID-19 pandemic was associated with higher psychological distress (adjusted β = 0.21, 95% CI: 0.15, 0.26) assessed over the next year. Among the bereaved, memorial attendance was associated with lower psychological distress (in-person: adjusted β = -0.41, 95% CI: -0.53, -0.29; online: adjusted β = -0.24, 95% CI: -0.46, --0.02). CONCLUSION Attending memorials was associated with lower subsequent psychological distress among bereaved older females.
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Affiliation(s)
- Christy A Denckla
- Department of Social and Behavioral Sciences (CAD, JH), Harvard TH Chan School of Public Health, Boston, MA.
| | - Jill Hahn
- Department of Social and Behavioral Sciences (CAD, JH), Harvard TH Chan School of Public Health, Boston, MA
| | - Richard G Cowden
- Human Flourishing Program (RGC, SH), Harvard University, Cambridge, MA
| | - Samuel Ho
- Human Flourishing Program (RGC, SH), Harvard University, Cambridge, MA
| | - Katie Gao
- Department of Neuroscience, Harvard University (KG), Cambridge, MA
| | | | - Shaili C Jha
- Department of Epidemiology (ALED, SCJ), Harvard TH Chan School of Public Health, Boston, MA
| | - Jae H Kang
- Channing Division of Network Medicine (JHK), Brigham and Women's Hospital, Boston, MA
| | - M Katherine Shear
- Center for Prolonged Grief, Columbia University School of Social Work (MKS), Columbia University College of Physicians and Surgeons
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7
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Ke S, Guimond AJ, Tworoger SS, Huang T, Chan AT, Liu YY, Kubzansky LD. Gut feelings: associations of emotions and emotion regulation with the gut microbiome in women. Psychol Med 2023; 53:7151-7160. [PMID: 36942524 PMCID: PMC10511660 DOI: 10.1017/s0033291723000612] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 02/09/2023] [Accepted: 02/20/2023] [Indexed: 03/23/2023]
Abstract
BACKGROUND Accumulating evidence suggests that positive and negative emotions, as well as emotion regulation, play key roles in human health and disease. Recent work has shown the gut microbiome is important in modulating mental and physical health through the gut-brain axis. Yet, its association with emotions and emotion regulation are understudied. Here we examined whether positive and negative emotions, as well as two emotion regulation strategies (i.e. cognitive reappraisal and suppression), were associated with the gut microbiome composition and functional pathways in healthy women. METHODS Participants were from the Mind-Body Study (N = 206, mean age = 61), a sub-study of the Nurses' Health Study II cohort. In 2013, participants completed measures of emotion-related factors. Two pairs of stool samples were collected, 6 months apart, 3 months after emotion-related factors measures were completed. Analyses examined associations of emotion-related factors with gut microbial diversity, overall microbiome structure, and specific species/pathways and adjusted for relevant covariates. RESULTS Alpha diversity was negatively associated with suppression. In multivariate analysis, positive emotions were inversely associated with the relative abundance of Firmicutes bacterium CAG 94 and Ruminococcaceae bacterium D16, while negative emotions were directly correlated with the relative abundance of these same species. At the metabolic pathway level, negative emotions were inversely related to the biosynthesis of pantothenate, coenzyme A, and adenosine. CONCLUSIONS These findings offer human evidence supporting linkages of emotions and related regulatory processes with the gut microbiome and highlight the importance of incorporating the gut microbiome in our understanding of emotion-related factors and their associations with physical health.
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Affiliation(s)
- Shanlin Ke
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Anne-Josee Guimond
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Lee Kum Sheung Center for Health and Happiness, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA
| | - Yang-Yu Liu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Center for Artificial Intelligence and Modeling, The Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Champaign, IL 61801, USA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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8
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Ratanatharathorn A, Roberts AL, Chibnik LB, Choi KW, De Vivo I, Kim Y, Nishimi K, Rimm EB, Sumner JA, Kubzansky LD, Koenen KC. Posttraumatic Stress Disorder, Depression, and Accelerated Aging: Leukocyte Telomere Length in the Nurses' Health Study II. BIOLOGICAL PSYCHIATRY GLOBAL OPEN SCIENCE 2023; 3:510-518. [PMID: 37519465 PMCID: PMC10382693 DOI: 10.1016/j.bpsgos.2022.05.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 05/10/2022] [Accepted: 05/14/2022] [Indexed: 10/18/2022] Open
Abstract
Background Exposure to trauma, posttraumatic stress disorder (PTSD), and depression have been independently associated with leukocyte telomere length (LTL), a cellular marker of aging associated with mortality and age-related diseases. However, the joint contributions of trauma and its psychological sequelae on LTL have not been examined. Methods We conducted an analysis of LTL in a subset of women from the Nurses' Health Study II (N = 1868). Lifetime exposure to traumatic events, PTSD, and depression was assessed with validated measures. DNA was extracted from peripheral blood leukocytes and telomere repeat copy number to single gene copy number was determined by quantitative real-time polymerase chain reaction telomere assay. Linear regression models assessed the association of trauma, PTSD, and depression with LTL after adjustment for health behaviors and medical conditions. Results Trauma, PTSD, and depression were not independently associated with LTL in mutually adjusted models. However, individuals with severe psychological distress-characterized by comorbid PTSD and depression-had shorter LTL equivalent to being 7.62 years older (95% CI, 0.02 to 17.97) than participants who had never experienced a traumatic event and were not depressed. Further examination found only an association among individuals with the highest number of PTSD symptoms and comorbid depression equivalent to 9.71 additional years of aging (95% CI, 1.36 to 20.49). No effect was found among individuals meeting the minimum threshold for probable PTSD with comorbid depression. Conclusions Severe psychological distress, as indicated by the presence of comorbid PTSD and depression, may be associated with shorter LTL.
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Affiliation(s)
- Andrew Ratanatharathorn
- Department of Epidemiology, Columbia University Mailman School of Public Health, New York, New York
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Andrea L. Roberts
- Environmental Health, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Lori B. Chibnik
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts
| | - Karmel W. Choi
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts
| | - Immaculata De Vivo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Brigham and Women's Hospital - Harvard Medical School, Boston, Massachusetts
| | - Yongjoo Kim
- College of Korean Medicine, Sangji University, Wonju, Republic of Korea
| | - Kristen Nishimi
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Mental Health Service, San Francisco Veterans Affairs Health Care System, San Francisco, California
- Department of Psychiatry, University of California San Francisco, San Francisco, California
| | - Eric B. Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Jennifer A. Sumner
- Department of Psychology, University of California, Los Angeles, Los Angeles, California
| | - Laura D. Kubzansky
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
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9
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Wang K, Mehta RS, Ma W, Nguyen LH, Wang DD, Ghazi AR, Yan Y, Al-Shaar L, Wang Y, Hang D, Fu BC, Ogino S, Rimm EB, Hu FB, Carmody RN, Garrett WS, Sun Q, Chan AT, Huttenhower C, Song M. The gut microbiome modifies the associations of short- and long-term physical activity with body weight changes. MICROBIOME 2023; 11:121. [PMID: 37254152 PMCID: PMC10228038 DOI: 10.1186/s40168-023-01542-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 04/05/2023] [Indexed: 06/01/2023]
Abstract
BACKGROUND The gut microbiome regulates host energy balance and adiposity-related metabolic consequences, but it remains unknown how the gut microbiome modulates body weight response to physical activity (PA). METHODS Nested in the Health Professionals Follow-up Study, a subcohort of 307 healthy men (mean[SD] age, 70[4] years) provided stool and blood samples in 2012-2013. Data from cohort long-term follow-ups and from the accelerometer, doubly labeled water, and plasma biomarker measurements during the time of stool collection were used to assess long-term and short-term associations of PA with adiposity. The gut microbiome was profiled by shotgun metagenomics and metatranscriptomics. A subcohort of 209 healthy women from the Nurses' Health Study II was used for validation. RESULTS The microbial species Alistipes putredinis was found to modify the association between PA and body weight. Specifically, in individuals with higher abundance of A. putredinis, each 15-MET-hour/week increment in long-term PA was associated with 2.26 kg (95% CI, 1.53-2.98 kg) less weight gain from age 21 to the time of stool collection, whereas those with lower abundance of A. putredinis only had 1.01 kg (95% CI, 0.41-1.61 kg) less weight gain (pinteraction = 0.019). Consistent modification associated with A. putredinis was observed for short-term PA in relation to BMI, fat mass%, plasma HbA1c, and 6-month weight change. This modification effect might be partly attributable to four metabolic pathways encoded by A. putredinis, including folate transformation, fatty acid β-oxidation, gluconeogenesis, and stearate biosynthesis. CONCLUSIONS A greater abundance of A. putredinis may strengthen the beneficial association of PA with body weight change, suggesting the potential of gut microbial intervention to improve the efficacy of PA in body weight management. Video Abstract.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Raaj S Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Dong D Wang
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew R Ghazi
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yan Yan
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Laila Al-Shaar
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yiqing Wang
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Dong Hang
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology and Biostatistics, International Joint Research Center On Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Benjamin C Fu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
- Department of Pathology, Program in MPE Molecular Pathological Epidemiology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Rachel N Carmody
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Human Evolutionary Biology, Harvard University, Cambridge, MA, USA
| | - Wendy S Garrett
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Curtis Huttenhower
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, 667 Huntington Avenue, Kresge 906A, Boston, MA, 02115, USA.
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
- Harvard Chan Microbiome in Public Health Center, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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10
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Dew MA, DiMartini AF, Posluszny DM, Myaskovsky L, Switzer GE, Puttarajappa C, Hickey GW, Sanchez PG, DeVito Dabbs AJ. Health-related quality of life and psychological indicators of thriving 15-19 years after heart or lung transplantation. Clin Transplant 2022; 36:e14768. [PMID: 35801650 PMCID: PMC9756395 DOI: 10.1111/ctr.14768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Revised: 06/29/2022] [Accepted: 07/05/2022] [Indexed: 12/01/2022]
Abstract
BACKGROUND Survival into the second decade after cardiothoracic transplantation (CTX) is no longer uncommon. Few data exist on any health-related quality of life (HRQOL) impairments survivors face, or whether they may even experience positive psychological outcomes indicative of "thriving" (e.g., personal growth). We provide such data in a long-term survivor cohort. METHODS Among 304 patients prospectively studied across the first 2 years post-CTX, we re-interviewed patients ≥15 years post-CTX. We (a) examined levels of HRQOL and positive psychological outcomes (posttraumatic growth related to CTX, purpose in life, life satisfaction) at follow-up, (b) evaluated change since transplant with mixed-effects models, and (c) identified psychosocial and clinical correlates of study outcomes with multivariable regression. RESULTS Of 77 survivors, 64 (83%) were assessed (35 heart, 29 lung recipients; 15-19 years post-CTX). Physical HRQOL was poorer than the general population norm and earlier post-transplant levels (P's < .001). Mental HRQOL exceeded the norm (P < .001), with little temporal change (P = .070). Mean positive psychological outcome scores exceeded scales' midpoints at follow-up. Life satisfaction, assessed longitudinally, declined over time (P < .001) but remained similar to the norm at follow-up. Recent hospitalization and dyspnea increased patients' likelihood of poor physical HRQOL at follow-up (P's ≤ .022). Lower sense of mastery and poorer caregiver support lessened patients' likelihood of positive psychological outcomes (P's ≤ .049). Medical comorbidities and type of CTX were not associated with study outcomes at follow-up. CONCLUSIONS Despite physical HRQOL impairment, long-term CTX survivors otherwise showed favorable outcomes. Clinical attention to correlates of HRQOL and positive psychological outcomes may help maximize survivors' well-being.
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Affiliation(s)
- Mary Amanda Dew
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Departments of Psychology, Epidemiology, and Biostatistics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Acute and Tertiary Care, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA
- Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Andrea F. DiMartini
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Donna M. Posluszny
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- UPMC Hillman Cancer Center, Pittsburgh, Pennsylvania, USA
| | - Larissa Myaskovsky
- Department of Internal Medicine, University of New Mexico School of Medicine and Center for Healthcare Equity in Kidney Disease, University of New Mexico Health Sciences Center, Albuquerque, New Mexico, USA
| | - Galen E. Switzer
- Department of Psychiatry, School of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Clinical and Translational Science Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Chethan Puttarajappa
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Gavin W. Hickey
- Department of Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
- UPMC Heart and Vascular Institute, Pittsburgh, Pennsylvania, USA
| | - Pablo G. Sanchez
- Department of Cardiothoracic Surgery, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA
| | - Annette J. DeVito Dabbs
- Department of Acute and Tertiary Care, University of Pittsburgh School of Nursing, Pittsburgh, Pennsylvania, USA
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11
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Haslam DE, Li J, Dillon ST, Gu X, Cao Y, Zeleznik OA, Sasamoto N, Zhang X, Eliassen AH, Liang L, Stampfer MJ, Mora S, Chen ZZ, Terry KL, Gerszten RE, Hu FB, Chan AT, Libermann TA, Bhupathiraju SN. Stability and reproducibility of proteomic profiles in epidemiological studies: comparing the Olink and SOMAscan platforms. Proteomics 2022; 22:e2100170. [PMID: 35598103 PMCID: PMC9923770 DOI: 10.1002/pmic.202100170] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 05/02/2022] [Accepted: 05/03/2022] [Indexed: 01/14/2023]
Abstract
Limited data exist on the performance of high-throughput proteomics profiling in epidemiological settings, including the impact of specimen collection and within-person variability over time. Thus, the Olink (972 proteins) and SOMAscan7Kv4.1 (7322 proteoforms of 6596 proteins) assays were utilized to measure protein concentrations in archived plasma samples from the Nurses' Health Studies and Health Professionals Follow-Up Study. Spearman's correlation coefficients (r) and intraclass correlation coefficients (ICCs) were used to assess agreement between (1) 42 triplicate samples processed immediately, 24-h or 48-h after blood collection from 14 participants; and (2) 80 plasma samples from 40 participants collected 1-year apart. When comparing samples processed immediately, 24-h, and 48-h later, 55% of assays had an ICC/r ≥ 0.75 and 87% had an ICC/r ≥ 0.40 in Olink compared to 44% with an ICC/r ≥ 0.75 and 72% with an ICC/r ≥ 0.40 in SOMAscan7K. For both platforms, >90% of the assays were stable (ICC/r ≥ 0.40) in samples collected 1-year apart. Among 817 proteins measured with both platforms, Spearman's correlations were high (r > 0.75) for 14.7% and poor (r < 0.40) for 44.8% of proteins. High-throughput proteomics profiling demonstrated reproducibility in archived plasma samples and stability after delayed processing in epidemiological studies, yet correlations between proteins measured with the Olink and SOMAscan7K platforms were highly variable.
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Affiliation(s)
- Danielle E. Haslam
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Jun Li
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Simon T. Dillon
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Department of Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Xuesong Gu
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Department of Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Yin Cao
- Division of Public Health Sciences, Department of Surgery, Washington University in St. Louis, St. Louis, Missouri, USA,Alvin J. Siteman Cancer Center, Washington University School of Medicine, St. Louis, Missouri, USA,Division of Gastroenterology, Department of Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Oana A. Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Naoko Sasamoto
- Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Liming Liang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Meir J. Stampfer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Samia Mora
- Division of Preventive Medicine and Cardiovascular Division of Medicine and Center for Lipid Metabolomics, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Zsu-Zsu Chen
- Department of Internal Medicine, Division of Endocrinology, Diabetes, and Metabolism, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Kathryn L. Terry
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Obstetrics and Gynecology, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Robert E. Gerszten
- Division of Cardiovascular Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA,Broad Institute of MIT and Harvard Program in Metabolism, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Frank B. Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Andrew T. Chan
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA,Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA,Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Towia A. Libermann
- Genomics, Proteomics, Bioinformatics and Systems Biology Center, Department of Medicine, Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | - Shilpa N. Bhupathiraju
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA
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12
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Huang T, Zeleznik OA, Roberts AL, Balasubramanian R, Clish CB, Eliassen AH, Rexrode KM, Tworoger SS, Hankinson SE, Koenen KC, Kubzansky LD. Plasma Metabolomic Signature of Early Abuse in Middle-Aged Women. Psychosom Med 2022; 84:536-546. [PMID: 35471987 PMCID: PMC9167800 DOI: 10.1097/psy.0000000000001088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Abstract
OBJECTIVE Metabolomic profiling may provide insights into biological mechanisms underlying the strong epidemiologic links observed between early abuse and cardiometabolic disorders in later life. METHODS We examined the associations between early abuse and midlife plasma metabolites in two nonoverlapping subsamples from the Nurses' Health Study II, comprising 803 (mean age = 40 years) and 211 women (mean age = 61 years). Liquid chromatography-tandem mass spectrometry assays were used to measure metabolomic profiles, with 283 metabolites consistently measured in both subsamples. Physical and sexual abuse before age 18 years was retrospectively assessed by validated questions integrating type/frequency of abuse. Analyses were conducted in each sample and pooled using meta-analysis, with multiple testing adjustment using the q value approach for controlling the positive false discovery rate. RESULTS After adjusting for age, race, menopausal status, body size at age 5 years, and childhood socioeconomic indicators, more severe early abuse was consistently associated with five metabolites at midlife (q value < 0.20 in both samples), including lower levels of serotonin and C38:3 phosphatidylethanolamine plasmalogen and higher levels of alanine, proline, and C40:6 phosphatidylethanolamine. Other metabolites potentially associated with early abuse (q value < 0.05 in the meta-analysis) included triglycerides, phosphatidylcholine plasmalogens, bile acids, tyrosine, glutamate, and cotinine. The association between early abuse and midlife metabolomic profiles was partly mediated by adulthood body mass index (32% mediated) and psychosocial distress (13%-26% mediated), but not by other life-style factors. CONCLUSIONS Early abuse was associated with distinct metabolomic profiles of multiple amino acids and lipids in middle-aged women. Body mass index and psychosocial factors in adulthood may be important intermediates for the observed association.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Oana A. Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Andrea L. Roberts
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | | | - A. Heather Eliassen
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
| | - Shelley S. Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | - Karestan C. Koenen
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
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13
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Isehunwa OO, Warner ET, Spiegelman D, Zhang Y, Palmer JR, Kanaya AM, Cole SA, Tworoger SS, Shields LO, Gu Y, Kent BV, De Vivo I, Shields AE. Depression, religiosity, and telomere length in the Study on Stress, Spirituality, and Health (SSSH). Int J Ment Health Addict 2022; 20:1465-1484. [PMID: 35747346 PMCID: PMC9211376 DOI: 10.1007/s11469-020-00455-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/22/2022] Open
Abstract
Prospective studies on the association between depression and telomere length have produced mixed results and have been largely limited to European ancestry populations. We examined the associations between depression and telomere length, and the modifying influence of religion and spirituality, in four cohorts, each representing a different race/ethnic population. Relative leukocyte telomere length (RTL) was measured by a quantitative polymerase chain reaction. Our result showed that depression was not associated with RTL (percent difference: 3.0 95% CI: -3.9, 10.5; p = 0.41; p-heterogeneity across studies = 0.67) overall or in cohort-specific analyses. However, in cohort-specific analyses, there was some evidence of effect modification by the extent of religiosity or spirituality, religious congregation membership, and group prayer. Further research is needed to investigate prospective associations between depression and telomere length, and the resources of resilience including dimensions of religion and spirituality that may impact such dynamics in diverse racial/ethnic populations.
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Affiliation(s)
- Oluwaseyi O. Isehunwa
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Erica T. Warner
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
- Clinical Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Donna Spiegelman
- Department of Biostatistics and Global Health, Yale School of Public Health, New Haven, CT, USA; Center for Methods on Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA; Department of Statistics and Data Science, Yale University, New Haven, CT, USA
| | - Ying Zhang
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Julie R. Palmer
- Slone Epidemiology Center, Boston University, Boston, MA, USA
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Alka M. Kanaya
- Division of General Internal Medicine, University of California, San Francisco (UCSF), San Francisco, CA, USA
| | - Shelley A. Cole
- Population Health Program, Texas Biomedical Research Institute San Antonio, TX, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | | | - Yue Gu
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Blake Victor Kent
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
| | - Immaculata De Vivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Program in Genetic Epidemiology and Statistical Genetics, Harvard School of Public Health, Boston, MA, USA
| | - Alexandra E. Shields
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, and Harvard Medical School, Boston, MA, USA
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14
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Shutta KH, Balasubramanian R, Huang T, Jha SC, Zeleznik OA, Kroenke CH, Tinker LF, Smoller JW, Casanova R, Tworoger SS, Manson JE, Clish CB, Rexrode KM, Hankinson SE, Kubzansky LD. Plasma metabolomic profiles associated with chronic distress in women. Psychoneuroendocrinology 2021; 133:105420. [PMID: 34597898 PMCID: PMC8547060 DOI: 10.1016/j.psyneuen.2021.105420] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/18/2021] [Revised: 09/10/2021] [Accepted: 09/12/2021] [Indexed: 11/19/2022]
Abstract
Several forms of chronic distress including anxiety and depression are associated with adverse cardiometabolic outcomes. Metabolic alterations may underlie these associations. Whether these forms of distress are associated with metabolic alterations even after accounting for comorbid conditions and other factors remains unclear. Using an agnostic approach, this study examines a broad range of metabolites in relation to chronic distress among women. For this cross-sectional study of chronic distress and 577 plasma metabolites, data are from different substudies within the Women's Health Initiative (WHI) and Nurses' Health Studies (NHSI, NHSII). Chronic distress was characterized by depressive symptoms and other depression indicators in the WHI and NHSII substudies, and by combined indicators of anxiety and depressive symptoms in the NHSI substudy. We used a two-phase discovery-validation framework, with WHI (N = 1317) and NHSII (N = 218) substudies in the discovery phase (identifying metabolites associated with distress) and NHSI (N = 558) substudy in the validation phase. A differential network analysis provided a systems-level assessment of metabolomic alterations under chronic distress. Analyses adjusted for potential confounders and mediators (demographics, comorbidities, medications, lifestyle factors). In the discovery phase, 46 metabolites were significantly associated with depression measures. In validation, six of these metabolites demonstrated significant associations with chronic distress after adjustment for potential confounders. Among women with high distress, we found lower gamma-aminobutyric acid (GABA), threonine, biliverdin, and serotonin and higher C16:0 ceramide and 3-methylxanthine. Our findings suggest chronic distress is associated with metabolomic alterations and provide specific targets for future study of biological pathways in chronic diseases.
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Affiliation(s)
- Katherine H Shutta
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 010 Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA.
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 010 Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA.
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA.
| | - Candyce H Kroenke
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA.
| | - Lesley F Tinker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
| | - Jordan W Smoller
- Department of Psychiatry and Psychiatric and Neurodevelopmental Genetics Unit, Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA.
| | | | - Shelley S Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Cancer Epidemiology, Moffit Cancer Center, Tampa, FL, USA.
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA.
| | - Kathryn M Rexrode
- Harvard Medical School, Boston, MA, USA; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA.
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, 010 Arnold House, 715 North Pleasant Street, Amherst, MA 01003, USA.
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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15
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Wang Y, Nguyen LH, Mehta RS, Song M, Huttenhower C, Chan AT. Association Between the Sulfur Microbial Diet and Risk of Colorectal Cancer. JAMA Netw Open 2021; 4:e2134308. [PMID: 34767023 PMCID: PMC8590167 DOI: 10.1001/jamanetworkopen.2021.34308] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
IMPORTANCE Sulfur-metabolizing bacteria that reduce dietary sulfur to hydrogen sulfide have been associated with colorectal cancer (CRC). However, there are limited studies investigating the association between diet and sulfur-metabolizing bacteria in the development of CRC. OBJECTIVE To develop a dietary score that correlates with gut sulfur-metabolizing bacteria and to examine its association with CRC risk. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study included data from the Health Professionals Follow-up Study (1986-2014), Nurses' Health Study (1984-2016), and Nurses' Health Study II (1991-2017). Participants were US male health professionals and female registered nurses who were free of inflammatory bowel disease and cancer at baseline, with a subsample of participants who provided stool samples from 2012 to 2014. Statistical analysis was conducted from September 1, 2020, to June 1, 2021. EXPOSURE A dietary pattern, assessed by a food-frequency questionnaire, that most correlated with 43 sulfur-metabolizing bacteria identified through taxonomic and functional profiling of gut metagenome data. MAIN OUTCOMES AND MEASURES Incident CRC. RESULTS Among 214 797 participants comprising 46 550 men (mean [SD] age at baseline, 54.3 [9.7] years) and 168 247 women (mean [SD] age at baseline, 43.0 [9.2] years), 3217 incident cases of CRC (1.5%) were documented during 5 278 048 person-years of follow-up. The sulfur microbial diet, developed in a subsample of 307 men (mean [SD] age, 70.5 [4.3] years) and 212 women (mean [SD] age, 61.0 [3.8] years), was characterized by high intakes of low-calorie beverages, french fries, red meats, and processed meats and low intakes of fruits, yellow vegetables, whole grains, legumes, leafy vegetables, and cruciferous vegetables. After adjustment for other risk factors, greater adherence to the sulfur microbial diet was associated with an increased risk of CRC, with a hazard ratio (HR) of 1.27 (95% CI, 1.12-1.44) comparing the highest vs the lowest quintile of the diet score (linear trend of diet score quintiles; P < .001 for trend). When assessed by anatomical subsites, greater adherence to the sulfur microbial diet was positively associated with distal CRC (HR, 1.25; 95% CI, 1.05-1.50; P = .02 for trend) but not proximal colon cancer (HR, 1.13; 95% CI, 0.93-1.39; P = .19 for trend). CONCLUSIONS AND RELEVANCE Adherence to the sulfur microbial diet was associated with an increased risk of CRC, suggesting a potential mediating role of sulfur-metabolizing bacteria in the associaton between diet and CRC. Further research is needed to confirm these findings and to determine the underlying mechanisms.
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Affiliation(s)
- Yiqing Wang
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Long H. Nguyen
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Raaj S. Mehta
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Mingyang Song
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Andrew T. Chan
- Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts
- Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
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16
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Huang T, Balasubramanian R, Yao Y, Clis CB, Shadyab AH, Liu B, Tworoger SS, Rexrode KM, Manson JE, Kubzansky LD, Hankinson SE. Associations of depression status with plasma levels of candidate lipid and amino acid metabolites: a meta-analysis of individual data from three independent samples of US postmenopausal women. Mol Psychiatry 2021; 26:3315-3327. [PMID: 32859999 PMCID: PMC7914294 DOI: 10.1038/s41380-020-00870-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 08/04/2020] [Accepted: 08/14/2020] [Indexed: 01/05/2023]
Abstract
Recent animal and small clinical studies have suggested depression is related to altered lipid and amino acid profiles. However, this has not been examined in a population-based sample, particularly in women. We identified multiple metabolites associated with depression as potential candidates from prior studies. Cross-sectional data from three independent samples of postmenopausal women were analyzed, including women from the Women's Health Initiative-Observational Study (WHI-OS, n = 926), the WHI-Hormone Trials (WHI-HT; n = 1,325), and the Nurses' Health Study II Mind-Body Study (NHSII-MBS; n = 218). Positive depression status was defined as having any of the following: elevated depressive symptoms, antidepressant use, or depression history. Plasma metabolites were measured using liquid chromatography-tandem mass spectrometry (21 phosphatidylcholines (PCs), 7 lysophosphatidylethanolamines, 5 ceramides, 3 branched chain amino acids, and 9 neurotransmitters). Associations between depression status and metabolites were evaluated using multivariable linear regression; results were pooled by random-effects meta-analysis with multiple testing adjustment using the false discovery rate (FDR). Prevalence rates of positive depression status were 24.4% (WHI-OS), 25.7% (WHI-HT), and 44.7% (NHSII-MBS). After multivariable adjustment, positive depression status was associated with higher levels of glutamate and PC 36 : 1/38 : 3, and lower levels of tryptophan and GABA-to-glutamate and GABA-to-glutamine ratio (FDR-p < 0.05). Positive associations with LPE 18 : 0/18 : 1 and inverse associations with valine and serotonin were also observed, although these associations did not survive FDR adjustment. Associations of positive depression status with several candidate metabolites including PC 36 : 1/38 : 3 and amino acids involved in neurotransmission suggest potential depression-related metabolic alterations in postmenopausal women, with possible implications for later chronic disease.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, and Harvard Medical School, Boston, MA, USA.
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | - Yubing Yao
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
| | | | - Aladdin H. Shadyab
- Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA
| | - Buyun Liu
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, IA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Kathryn M. Rexrode
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA,Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - JoAnn E. Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA,Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Susan E. Hankinson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA,Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA
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17
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Isehunwa OO, Warner ET, Spiegelman D, Huang T, Tworoger SS, Kent BV, Shields AE. Religion, spirituality and diurnal rhythms of salivary cortisol and dehydroepiandrosterone in postmenopausal women. COMPREHENSIVE PSYCHONEUROENDOCRINOLOGY 2021; 7. [PMID: 34308392 PMCID: PMC8297624 DOI: 10.1016/j.cpnec.2021.100064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background Religion and spirituality (R/S) are important resources for coping with stress and are hypothesized to influence health outcomes via modulation of the hypothalamic-pituitary-adrenal (HPA) axis, though this has not been evaluated extensively. In this study, we examined associations between several measures of religiosity or spirituality (R/S) and three HPA axis biomarkers: cortisol, dehydroepiandrosterone (DHEA), and cortisol:DHEA ratio. Methods Sample included 216 female postmenopausal Nurses’ Health Study II participants who provided up to five timed saliva samples: immediately upon awakening, 45 min, 4 h, and 10 h after waking, and prior to going to sleep during a single day in 2013. Multivariable-adjusted linear mixed models with piecewise cubic spline functions and adjustment for potential covariates were used to estimate the cross-sectional associations of eight R/S measures with diurnal rhythms of cortisol, DHEA, and the cortisol/DHEA ratio. Results There was little evidence of association between the eight R/S measures analyzed and diurnal rhythms of cortisol, DHEA, and the cortisol/DHEA ratio. Women who reported that R/S was very involved in understanding or dealing with stressful situations had slower night rise in cortisol than those who did not. Greater levels of religious struggles were associated with higher cortisol levels throughout the day. Higher non-theistic daily spiritual experiences scores were associated with slower DHEA night rise, and a higher cortisol/DHEA ratio upon waking and at night. However, these associations were significantly attenuated when we excluded women reporting bedtimes at least 30 min later than usual. Conclusion Observed associations were driven by those with late sleep schedules, and given the number of comparisons made, could be due to chance. Future research using larger, more diverse samples of individuals is needed to better understand the relationship between R/S and HPA axis biomarkers. We examined the influence of religion and spirituality on HPA-axis diurnal rhythms of cortisol, DHEA, and their ratio. Religious coping, religious struggles, and non-theistic DSES were associated with modest alterations in HPA axis rhythms. Observed associations were driven by those with late sleep schedules.
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Affiliation(s)
- Oluwaseyi O. Isehunwa
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Corresponding author. 50 Staniford St., Suite 802, Boston, MA, 02114, USA.
| | - Erica T. Warner
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Clinical Translational Epidemiology Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Donna Spiegelman
- Department of Biostatistics and Global Health, Yale School of Public Health, New Haven, CT, USA
- Center for Methods on Implementation and Prevention Science, Yale School of Public Health, New Haven, CT, USA
- Department of Statistics and Data Science, Yale University, New Haven, CT, USA
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Shelley S. Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, FL, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Blake Victor Kent
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
- Department of Sociology, Westmont College, Santa Barbara, CA, USA
| | - Alexandra E. Shields
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
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18
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Ogbenna BT, Ryu S, Lee S, Slopen N. Discrimination and Sleep among Asians and Pacific Islanders Adults. Sleep 2021; 44:6257851. [PMID: 33912974 DOI: 10.1093/sleep/zsab109] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2020] [Revised: 03/13/2021] [Indexed: 11/14/2022] Open
Abstract
STUDY OBJECTIVES To examine the association between discrimination and sleep duration and difficulty among Asians and Pacific Islanders (APIs) in the United States, and to test nativity and ethnic identity (EI) as effect modifiers. METHODS This cross-sectional study of 1,765 adults from the National Epidemiology Study of Alcohol and Related Conditions III, assessed discrimination using the Experiences of Discrimination scale. Discrimimation was classified as low, moderate, and high. Regression models were used to examine self-reported sleep duration and difficulty. RESULTS In bivariate analyses, individuals with high discrimination had the shortest sleep and reported sleep difficulty most often. Using linear models adjusted for sociodemographic and health characteristics, moderate and high discrimination were associated with 9 minutes (standard error [SE]: 4.8, p <0.10) and 14.4 minutes (SE: 6.0, p <0.05) less sleep, respectively, relative to low discrimination. Individuals with moderate and high discrimination had higher prevalence of sleep difficulty compared to those with low discrimination (prevalence ratio [PR]: 1.51, 95% confidence interval [CI]: 1.14-1.99 and PR: 1.73, 95% CI: 1.33-2.24, respectively). Interaction effect was observed in sleep difficulty by nativity and EI, but not duration. The association between discrimination and sleep difficulty was stronger among US-born relative to foreign-born participants. Among participants with low EI, moderate and high discrimination were associated with sleep difficulty, whereas among those with high EI, only high discrimination displayed this association. CONCLUSIONS Discrimination is associated with sleep duration and difficulty, and varies by nativity and EI. Research is needed to improve sleep among APIs that experience discrimination.[.
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Affiliation(s)
- Bethany Townsend Ogbenna
- University of Maryland School of Public Health, Department of Epidemiology and Biostatistics, USA
| | - Soomin Ryu
- University of Maryland, College Park, School of Public Policy, USA
| | - Sunmin Lee
- University of California, Irvine, School of Medicine, Department of Medicine, USA
| | - Natalie Slopen
- Harvard T. H. Chan School of Public Health, Department of Social and Behavioral Sciences, USA
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Everett C, Li C, Wilkinson JE, Nguyen LH, McIver LJ, Ivey K, Izard J, Palacios N, Eliassen AH, Willett WC, Ascherio A, Sun Q, Tworoger SS, Chan AT, Garrett WS, Huttenhower C, Rimm EB, Song M. Overview of the Microbiome Among Nurses study (Micro-N) as an example of prospective characterization of the microbiome within cohort studies. Nat Protoc 2021; 16:2724-2731. [PMID: 33883746 DOI: 10.1038/s41596-021-00519-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Accepted: 02/16/2021] [Indexed: 02/06/2023]
Abstract
A lack of prospective studies has been a major barrier for assessing the role of the microbiome in human health and disease on a population-wide scale. To address this significant knowledge gap, we have launched a large-scale collection targeting fecal and oral microbiome specimens from 20,000 women within the Nurses' Health Study II cohort (the Microbiome Among Nurses study, or Micro-N). Leveraging the rich epidemiologic data that have been repeatedly collected from this cohort since 1989; the established biorepository of archived blood, urine, buccal cell, and tumor tissue specimens; the available genetic and biomarker data; the cohort's ongoing follow-up; and the BIOM-Mass microbiome research platform, Micro-N furnishes unparalleled resources for future prospective studies to interrogate the interplay between host, environmental factors, and the microbiome in human health. These prospectively collected materials will provide much-needed evidence to infer causality in microbiome-associated outcomes, paving the way toward development of microbiota-targeted modulators, preventives, diagnostics and therapeutics. Here, we describe a generalizable, scalable and cost-effective platform used for stool and oral microbiome specimen and metadata collection in the Micro-N study as an example of how prospective studies of the microbiome may be carried out.
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Affiliation(s)
- Christine Everett
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Chengchen Li
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jeremy E Wilkinson
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Long H Nguyen
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Lauren J McIver
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Kerry Ivey
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,South Australian Health and Medical Research Institute, Infection and Immunity Theme, School of Medicine, Flinders University, Adelaide, Australia.,Department of Nutrition and Dietetics, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
| | - Jacques Izard
- Food Science and Technology Department, Institute of Agriculture and Natural Resources, University of Nebraska, Lincoln, NE, USA.,Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska, USA
| | - Natalia Palacios
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Public Health, Zuckerberg College of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - A Heather Eliassen
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Walter C Willett
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Alberto Ascherio
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Qi Sun
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Shelley S Tworoger
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Cancer Epidemiology, Moffitt Cancer Center, Tampa, FL, USA
| | - Andrew T Chan
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.,Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Wendy S Garrett
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Molecular Metabolism, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Medicine, Harvard Medical School, Boston, MA, USA.,Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA, USA
| | - Curtis Huttenhower
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Broad Institute of Harvard and MIT, Cambridge, MA, USA.,Department of Immunology and Infectious Diseases, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA.,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Mingyang Song
- Harvard Chan Microbiome in Public Health Center, Harvard T. H. Chan School of Public Health, Boston, MA, USA. .,Clinical and Translational Epidemiology Unit, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. .,Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. .,Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA. .,Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
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20
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Bowen DJ, Fernandez Poole S, White M, Lyn R, Flores DA, Haile HG, Williams DR. The Role of Stress in Breast Cancer Incidence: Risk Factors, Interventions, and Directions for the Future. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18041871. [PMID: 33671879 PMCID: PMC7918955 DOI: 10.3390/ijerph18041871] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 02/06/2021] [Accepted: 02/07/2021] [Indexed: 12/27/2022]
Abstract
Stress is a common belief among breast cancer patients and the public to explain variation in breast cancer incidence. Epidemiological studies interrogating the relationship between stress and cancer have reported mixed results. The impact of the topic and the lack of consensus has sparked this review of the literature to investigate gaps in knowledge and identify areas of research. We first present a brief summary of the biopsychosocial model generally used to conduct research on stress. We then divide the overview of the literature into areas of research focus. These include the role of distressing life events in breast cancer incidence, the role of adverse childhood events in later breast cancer incidence, the importance of race and socioeconomic status (SES) as social determinants of breast cancer incidence, and the specific role of chronic stress in relation to breast cancer. For each topic, we discuss the potential of stress as a risk factor and possible intervention strategies that could reduce the effects of stress. We then identify further research questions to be probed to fill the gaps in knowledge. We conclude with a discussion of future research directions for stress research as it relates to breast cancer incidence.
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Affiliation(s)
- Deborah J. Bowen
- Department of Bioethics and Humanities, University of Washington, Seattle, WA 98195, USA;
- Correspondence:
| | - Senaida Fernandez Poole
- Office of the President, California Breast Cancer Research Program, University of California, Oakland, CA 94607, USA;
| | | | - Rodney Lyn
- School of Public Health, Georgia State University, Atlanta, GA 30302, USA;
| | - Debra A. Flores
- Kaiser Permanente Greater Southern Alameda Area, San Leandro, CA 94577, USA;
| | - Helen G. Haile
- Department of Bioethics and Humanities, University of Washington, Seattle, WA 98195, USA;
| | - David R. Williams
- Department of Social and Behavioral Sciences, Harvard University, Boston, MA 02138, USA;
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21
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Warner ET, Zhang Y, Gu Y, Taporoski TP, Pereira A, DeVivo I, Spence ND, Cozier Y, Palmer JR, Kanaya AM, Kandula NR, Cole SA, Tworoger S, Shields A. Physical and sexual abuse in childhood and adolescence and leukocyte telomere length: A pooled analysis of the study on psychosocial stress, spirituality, and health. PLoS One 2020; 15:e0241363. [PMID: 33125425 PMCID: PMC7598522 DOI: 10.1371/journal.pone.0241363] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2020] [Accepted: 10/13/2020] [Indexed: 12/21/2022] Open
Abstract
Introduction We examined whether abuse in childhood and/or adolescence was associated with shorter telomere length in a pooled analysis of 3,232 participants from five diverse cohorts. We also assessed whether religion or spirituality (R/S) could buffer deleterious effects of abuse. Methods Physical and sexual abuse in childhood (age <12) and adolescence (age 12–18) was assessed using the Revised Conflict Tactics Scale and questions from a 1995 Gallup survey. We measured relative leukocyte telomere lengths (RTL) using quantitative real time polymerase chain reaction. We used generalized estimating equations to assess associations of physical and sexual abuse with log-transformed RTL z-scores. Analyses were conducted in each cohort, overall, and stratified by extent of religiosity or spirituality and religious coping in adulthood. We pooled study‐specific estimates using random‐effects models and assessed between-study heterogeneity. Results Compared to no abuse, severe sexual abuse was associated with lower RTL z-scores, in childhood: -15.6%, 95% CI: -25.9, -4.9; p-trend = 0.04; p-heterogeneity = 0.58 and in adolescence: -16.5%, 95% CI: -28.1, -3.0; p-trend = 0.08; p-heterogeneity = 0.68. Sexual abuse experienced in both childhood and adolescence was associated with 11.3% lower RTL z-scores after adjustment for childhood and demographic covariates (95% CI: -20.5%, -2.0%; p-trend = 0.03; p-heterogeneity = 0.62). There was no evidence of effect modification by R/S. Physical abuse was not associated with telomere length. Conclusions Sexual abuse in childhood or adolescence was associated with a marker of accelerated biological aging, decreased telomere length. The lack of moderation by R/S may be due to inability to capture the appropriate time period for those beliefs and practices.
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Affiliation(s)
- Erica T. Warner
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Medicine, Clinical Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- * E-mail:
| | - Ying Zhang
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Division of Sleep Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Yue Gu
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Tâmara P. Taporoski
- Department of Neurology (Sleep Medicine), Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of São Paulo Medical School, São Paulo, São Paulo, Brazil
| | - Alexandre Pereira
- Laboratory of Genetics and Molecular Cardiology, Heart Institute (Incor), University of São Paulo Medical School, São Paulo, São Paulo, Brazil
| | - Immaculata DeVivo
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Nicholas D. Spence
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
- Department of Sociology, University of Toronto, Toronto, Ontario, Canada
| | - Yvette Cozier
- Slone Epidemiology Center, Boston University, Boston, Massachusetts, United States of America
| | - Julie R. Palmer
- Slone Epidemiology Center, Boston University, Boston, Massachusetts, United States of America
| | - Alka M. Kanaya
- Division of General Internal Medicine, University of California San Francisco, San Francisco, Califonia, United States of America
| | - Namratha R. Kandula
- Department of Medicine, Northwestern University, Evanston, Illinois, United States of America
| | - Shelley A. Cole
- Department of Genetics, Texas Biomedical Research Institute, San Antonio, Texas, United States of America
| | - Shelley Tworoger
- Department of Cancer Epidemiology, Moffitt Cancer Center and Research Institute, Tampa, Florida, United States of America
| | - Alexandra Shields
- MGH/Harvard Center on Genomics, Vulnerable Populations, and Health Disparities, Mongan Institute, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
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22
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Trudel-Fitzgerald C, Tworoger SS, Zhang X, Giovannucci EL, Meyerhardt JA, Kubzansky LD. Anxiety, Depression, and Colorectal Cancer Survival: Results from Two Prospective Cohorts. J Clin Med 2020; 9:E3174. [PMID: 33007946 PMCID: PMC7599619 DOI: 10.3390/jcm9103174] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2020] [Revised: 09/24/2020] [Accepted: 09/29/2020] [Indexed: 12/20/2022] Open
Abstract
Given the unalterable nature of most risk factors for colorectal cancer (CRC) survival (e.g., disease stage), identifying modifiable determinants is critical. We investigated whether anxiety and depression were related to CRC survival using data from the Nurses' Health Study (NHS) and Health Professional Follow-up Study (HPFS). Participants who received a CRC diagnosis and provided information about anxiety (nNHS = 335; nHPFS = 232) and depression (nNHS = 893; nHPFS = 272) within 4 years of diagnosis were included. Cox regression models estimated hazard ratios (HR) and 95% confidence intervals (CI) of overall mortality, while controlling for covariates (sociodemographics, cancer characteristics, and lifestyle factors). Pooled risk estimates were derived from fixed effects meta-analyses of the cohorts. Among 1732 CRC patients, 814 deaths occurred during the 28-year follow-up. Each 1 standard deviation increase in anxiety or depression symptoms was associated with a similar 16% higher mortality risk (anxiety: 95% CI = 1.05-1.29; depression: 95% CI = 1.07-1.26). Comparable results were observed across all sensitivity analyses (introducing a 1-year lag, restricting to CRC-related mortality, considering potential behavioral pathways) and stratified models (cancer stage, sex). Our findings suggest greater anxiety and depression symptoms can not only impede adherence to healthy habits and reduce quality of life in cancer patients but could also be a marker for accelerated CRC progression.
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Affiliation(s)
- Claudia Trudel-Fitzgerald
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
| | - Shelley S. Tworoger
- Division of Population Science, Moffitt Cancer Center, Tampa, FL 33612, USA;
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
| | - Xuehong Zhang
- Channing Division of Network Medicine, Department of Medicine Brigham and Women’s Hospital and Harvard Medical School, Boston, MA 02115, USA;
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02115, USA;
| | - Edward L. Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Jeffrey A. Meyerhardt
- Department of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, MA 02115, USA;
| | - Laura D. Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA;
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23
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Blanc J, Seixas A, Donley T, Bubu OM, Williams N, Jean-Louis G. Resilience factors, race/ethnicity and sleep disturbance among diverse older females with hypertension. J Affect Disord 2020; 271:255-261. [PMID: 32479324 PMCID: PMC7266829 DOI: 10.1016/j.jad.2020.03.148] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/26/2019] [Revised: 02/15/2020] [Accepted: 03/29/2020] [Indexed: 01/08/2023]
Abstract
BACKGROUND This study examined the relationships between resilience and sleep disturbance in a diverse sample of older women with a history of hypertension and whether this relationship is moderated by individuals' race/ethnicity. METHODS Sample includes 700 females from a community-based study in Brooklyn, New York with a mean age of 60.7 years (SD=6.52). Of the participants, 28.1% were born in the U.S.; 71% were African-descent, 17.4% were European and 11.6% were Hispanics descents. Data were gathered on demographics and sleep disturbance using the Comprehensive Assessment and Referral Evaluation (CARE) and the Stress Index Scale (SIS). Resilience Factors were assessed with both the Index of Self-Regulation of Emotion (ISE) and religious health beliefs. Chi-Square, Anova, Student t-tests, and multilinear regression analysis were conducted to explore associations between resilience factors and sleep disturbance. Associations between resilience factors and sleep disturbance were examined using stratified multilinear regression analysis in three models by race/ethnicity. Regression models was conducted examining the interaction between resilience factors and stress RESULTS: Resilience factor, ISE emerged as the strongest independent predictor of sleep disturbance [B(SE) = -0.368(0.008); p < .001] for African descents. ISE was not a significant predictor of sleep disturbance among Hispanic participants [B(SE) = -0.218(0.022);p = .052], however interaction effect analysis revealed that stress level moderates significantly the relationship between ISE, and their sleep disturbance [B(SE) = 0.243(0.001);p = .036]. CONCLUSIONS Results of our study suggest that resilience factors might be a more important protective factor for sleep disturbance among diverse older females.
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Affiliation(s)
- Judite Blanc
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health, 180 Madison Avenue, 7th Floor,7-23C, New York, NY 10016, United States.
| | - Azizi Seixas
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health
| | - Tiffany Donley
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health
| | - Omonigho Michael Bubu
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health
| | - Natasha Williams
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health
| | - Girardin Jean-Louis
- Department of Population Health, Center for Healthful Behavior Change, New York University Langone Health
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24
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Orta OR, Huang T, Kubzansky LD, Terry KL, Coull BA, Williams MA, Tworoger SS. The association between abuse history in childhood and salivary rhythms of cortisol and DHEA in postmenopausal women. Psychoneuroendocrinology 2020; 112:104515. [PMID: 31784054 PMCID: PMC6935398 DOI: 10.1016/j.psyneuen.2019.104515] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/07/2019] [Revised: 08/22/2019] [Accepted: 11/12/2019] [Indexed: 12/11/2022]
Abstract
A history of child abuse (CA) is associated with morbidity and mortality in adulthood, and one proposed mechanism is dysregulation of the hypothalamic-pituitary-adrenal (HPA) axis. Therefore, we evaluated whether a history of physical and sexual CA was associated with daily rhythms of HPA hormones (cortisol and dehydroepiandrosterone (DHEA)) among postmenopausal women (mean age: 60.6 years). In 2013, 233 participants from the Nurses' Health Study II provided up to 5-timed saliva samples over the course of a day: immediately upon awakening, 45 min, 4 h, and 10 h after waking, and prior to going to sleep. Among these 233 participants, 217 provided ≥4 timed saliva samples. Assessment of physical and sexual CA history occurred in 2001 using the Revised Conflict Tactics Scale. Cumulative CA history was derived by combining reports of physical and sexual abuse prior to age 18. Piecewise linear mixed models compared diurnal rhythms of cortisol and DHEA between participants with none-to-moderate CA (n = 104, reference group) versus high-to-severe CA (n = 113). Models adjusted for characteristics at each saliva collection, health status, sleep quality, medications, and hormone use. Compared to those with none-to-moderate CA, women with high-to-severe CA had different diurnal rhythms in the early and evening hours, including blunted (less steep) early declines in DHEA (% difference (%D) = 10.7, 95 % Confidence Interval (CI) 4.3, 17.5), and steeper late declines in both cortisol and DHEA (cortisol %D = -2.5, 95 % CI -4.8, -0.1, and DHEA %D= -3.9, 95 % CI -6.0, -1.8). In conclusion, high-to-severe abuse history prior to age 18 was more strongly associated with differences in DHEA rather than cortisol, suggesting that early life abuse may be related to dysregulation of stress-response mechanisms later in life.
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Affiliation(s)
- Olivia R Orta
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Epidemiology, Boston University School of Public Health, Boston, MA, United States.
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women'S Hospital and Harvard Medical School, Boston, MA, United States
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Kathryn L Terry
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Ob/Gyn Epidemiology, Department of Obstetrics and Gynecology, Brigham and Women'S Hospital and Harvard Medical School, Boston, MA, United States
| | - Brent A Coull
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Michelle A Williams
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Shelley S Tworoger
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida, United States
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