1
|
Zhu K, Qian F, Lu Q, Li R, Qiu Z, Li L, Li R, Yu H, Deng Y, Yang K, Pan A, Liu G. Modifiable Lifestyle Factors, Genetic Risk, and Incident Peripheral Artery Disease Among Individuals With Type 2 Diabetes: A Prospective Study. Diabetes Care 2024; 47:435-443. [PMID: 38181303 DOI: 10.2337/dc23-1503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Accepted: 12/11/2023] [Indexed: 01/07/2024]
Abstract
OBJECTIVE To prospectively evaluate the association between modifiable lifestyle factors and peripheral artery disease (PAD) among individuals with type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS We included 14,543 individuals with T2D from the UK Biobank. We defined a weighted healthy lifestyle score using nonsmoking, regular physical activity, high-quality diet, moderate alcohol consumption, optimal waist-to-hip ratio, and adequate sleep duration, and categorized into unfavorable, intermediate, and favorable lifestyles. We created a genetic risk score (GRS) using 19 single nucleotide polymorphisms previously found to be associated with PAD. We modeled the association between lifestyle score and PAD, overall and stratified by PAD genetic susceptibility. RESULTS After a median 13.5 years of follow-up, 628 incident cases of PAD were documented. A linear inverse association between the weighted lifestyle score and PAD was observed, with a hazard ratio (HR) (95% CI) of 0.27 (0.19, 0.38) for favorable compared with unfavorable lifestyle (Ptrend < 0.0001). An estimated 58.3% (45.0%, 69.1%) of PAD in this population could be potentially avoidable if all participants attained a favorable lifestyle. Moreover, the PAD GRS was associated with increased PAD risk (HR [95% CI] per SD increment: 1.13 [1.03, 1.23]). A favorable lifestyle was able to partially mitigate the excess risk of PAD associated with higher GRS, albeit as a nonsignificant interaction. Several biomarkers in the lipid metabolism, hepatic/renal function, and systemic inflammation pathways collectively explained 13.3% (8.5%, 20.1%) of the association between weighted lifestyle score and PAD. CONCLUSIONS A favorable lifestyle was associated with lower risk of PAD among individuals with T2D, independent of genetic predisposition to PAD.
Collapse
Affiliation(s)
- Kai Zhu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA
| | - Qi Lu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Rui Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zixin Qiu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ruyi Li
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hancheng Yu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yulei Deng
- Department of Geriatrics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Kun Yang
- Department of Endocrinology, Affiliated Dongfeng Hospital, Hubei University of Medicine, Shiyan, China
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, and State Key Laboratory of Environment Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| |
Collapse
|
2
|
Laguzzi F, Åkesson A, Marklund M, Qian F, Gigante B, Bartz TM, Bassett JK, Birukov A, Campos H, Hirakawa Y, Imamura F, Jäger S, Lankinen M, Murphy RA, Senn M, Tanaka T, Tintle N, Virtanen JK, Yamagishi K, Allison M, Brouwer IA, De Faire U, Eiriksdottir G, Ferrucci L, Forouhi NG, Geleijnse JM, Hodge AM, Kimura H, Laakso M, Risérus U, van Westing AC, Bandinelli S, Baylin A, Giles GG, Gudnason V, Iso H, Lemaitre RN, Ninomiya T, Post WS, Psaty BM, Salonen JT, Schulze MB, Tsai MY, Uusitupa M, Wareham NJ, Oh SW, Wood AC, Harris WS, Siscovick D, Mozaffarian D, Leander K. Role of Polyunsaturated Fat in Modifying Cardiovascular Risk Associated With Family History of Cardiovascular Disease: Pooled De Novo Results From 15 Observational Studies. Circulation 2024; 149:305-316. [PMID: 38047387 PMCID: PMC10798593 DOI: 10.1161/circulationaha.123.065530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 10/25/2023] [Indexed: 12/05/2023]
Abstract
BACKGROUND It is unknown whether dietary intake of polyunsaturated fatty acids (PUFA) modifies the cardiovascular disease (CVD) risk associated with a family history of CVD. We assessed interactions between biomarkers of low PUFA intake and a family history in relation to long-term CVD risk in a large consortium. METHODS Blood and tissue PUFA data from 40 885 CVD-free adults were assessed. PUFA levels ≤25th percentile were considered to reflect low intake of linoleic, alpha-linolenic, and eicosapentaenoic/docosahexaenoic acids (EPA/DHA). Family history was defined as having ≥1 first-degree relative who experienced a CVD event. Relative risks with 95% CI of CVD were estimated using Cox regression and meta-analyzed. Interactions were assessed by analyzing product terms and calculating relative excess risk due to interaction. RESULTS After multivariable adjustments, a significant interaction between low EPA/DHA and family history was observed (product term pooled RR, 1.09 [95% CI, 1.02-1.16]; P=0.01). The pooled relative risk of CVD associated with the combined exposure to low EPA/DHA, and family history was 1.41 (95% CI, 1.30-1.54), whereas it was 1.25 (95% CI, 1.16-1.33) for family history alone and 1.06 (95% CI, 0.98-1.14) for EPA/DHA alone, compared with those with neither exposure. The relative excess risk due to interaction results indicated no interactions. CONCLUSIONS A significant interaction between biomarkers of low EPA/DHA intake, but not the other PUFA, and a family history was observed. This novel finding might suggest a need to emphasize the benefit of consuming oily fish for individuals with a family history of CVD.
Collapse
Affiliation(s)
- Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | - Agneta Åkesson
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | - Matti Marklund
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (M.M., W.S.P)
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia (M.M.)
| | - Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian and Avedisian School of Medicine, MA (F.Q.)
- Department of Nutrition (F.Q.), Boston, MA
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine Solna (B.G.), Karolinska Institutet, Stockholm, Sweden
| | - Traci M. Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics (T.M.B.), University of Washington, Seattle
- Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
| | - Julie K. Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia (J.K.B., A.M.H., G.G.G.)
| | - Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (A.K.B., S.J., M.B.S.)
- German Center for Diabetes Research, Neuherberg (A.K.B., S.J., M.B.S.)
| | - Hannia Campos
- Harvard T.H. Chan School of Public Health (H.C.), Boston, MA
| | - Yoichiro Hirakawa
- Departments of Epidemiology and Public Health and Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (Y.H., T.N.)
| | - Fumiaki Imamura
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, UK (F.I., N.G.F., N.J.W.)
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (A.K.B., S.J., M.B.S.)
| | - Maria Lankinen
- Institutes of Public Health and Clinical Nutrition (M. Lankinen, J.K.V., M.U.), University of Eastern Finland, Kuopio
| | - Rachel A. Murphy
- Cancer Control Research, BC Cancer Agency, Vancouver, Canada (R.A.M.)
- School of Population and Public Health, University of British Columbia, Vancouver, Canada (R.A.M.)
| | - Mackenzie Senn
- United States Department of Agriculture/Agricultural Research Service Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX (M.S., A.C.W.)
- Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany (M.B.S.)
| | - Toshiko Tanaka
- Longitudinal Study Section, National Institute on Aging, Baltimore, MD (T.T., L.F.)
| | - Nathan Tintle
- Fatty Acid Research Institute, Sioux Falls, SD (N.T., W.S.H.)
- Department of Population Health Nursing Science, University of Illinois – Chicago (N.T.)
| | - Jyrki K. Virtanen
- Institutes of Public Health and Clinical Nutrition (M. Lankinen, J.K.V., M.U.), University of Eastern Finland, Kuopio
| | - Kazumasa Yamagishi
- Department of Public Health Medicine, Institute of Medicine (K.Y., H.K.), University of Tsukuba, Japan
- Health Services Research and Development Center (K.Y., H.K.), University of Tsukuba, Japan
| | - Matthew Allison
- Department of Family Medicine, University of California, San Diego, La Jolla (M.A.)
| | - Ingeborg A. Brouwer
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, The Netherlands (I.A.B.)
- Amsterdam Public Health Research Institute, The Netherlands (I.A.B.)
| | - Ulf De Faire
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| | | | - Luigi Ferrucci
- Longitudinal Study Section, National Institute on Aging, Baltimore, MD (T.T., L.F.)
| | - Nita G. Forouhi
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, UK (F.I., N.G.F., N.J.W.)
| | - Johanna M. Geleijnse
- Division of Human Nutrition and Health, Wageningen University and Research, The Netherlands (J.M.G., A.C.v.W.)
| | - Allison M Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia (J.K.B., A.M.H., G.G.G.)
- Centre for Epidemiology and Biostatistics, University of Melbourne, Victoria, Australia (A.M.H., G.G.G.)
| | - Hitomi Kimura
- Department of Public Health Medicine, Institute of Medicine (K.Y., H.K.), University of Tsukuba, Japan
- Health Services Research and Development Center (K.Y., H.K.), University of Tsukuba, Japan
| | - Markku Laakso
- Clinical Medicine, Internal Medicine (M. Laakso), University of Eastern Finland, Kuopio
- Kuopio University Hospital (M. Laakso), University of Eastern Finland, Kuopio
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Sweden (M.M., U.R)
| | - Anniek C. van Westing
- United States Department of Agriculture/Agricultural Research Service Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX (M.S., A.C.W.)
- Division of Human Nutrition and Health, Wageningen University and Research, The Netherlands (J.M.G., A.C.v.W.)
| | - Stefania Bandinelli
- Geriatric Unit, Azienda Unità Sanitaria Locale Toscana Centro, Florence, Italy (S.B.)
| | - Ana Baylin
- University of Michigan School of Public Health, Ann Arbor (A. Baylin)
| | - Graham G. Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia (J.K.B., A.M.H., G.G.G.)
- Centre for Epidemiology and Biostatistics, University of Melbourne, Victoria, Australia (A.M.H., G.G.G.)
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia (G.G.G.)
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kopavogur (G.E., V.G.)
- Faculty of Medicine, University of Iceland, Reykjavik (V.G.)
| | - Hiroyasu Iso
- Public Health, Department of Social Medicine, Osaka University Graduate School of Medicine, Suita, Japan (H.I.)
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan (H.I.)
| | | | - Toshiharu Ninomiya
- Departments of Epidemiology and Public Health and Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan (Y.H., T.N.)
| | - Wendy S. Post
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (M.M., W.S.P)
- Department of Medicine, Division of Cardiology, Johns Hopkins University School of Medicine, Baltimore, MD (W.S.P.)
| | - Bruce M. Psaty
- Medicine (T.M.B., R.N.L., B.M.P.), University of Washington, Seattle
- Epidemiology (B.M.P.), University of Washington, Seattle
- Health Systems and Population Health (B.M.P.), University of Washington, Seattle
| | - Jukka T. Salonen
- Metabolic Analytical Services Oy, Helsinki, Finland (J.T.S.)
- University of Helsinki, the Faculty of Medicine, Department of Public Health, Finland (J.T.S.)
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal (A.K.B., S.J., M.B.S.)
- German Center for Diabetes Research, Neuherberg (A.K.B., S.J., M.B.S.)
| | - Michael Y. Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis (M.Y.T.)
| | - Matti Uusitupa
- Institutes of Public Health and Clinical Nutrition (M. Lankinen, J.K.V., M.U.), University of Eastern Finland, Kuopio
| | - Nicholas J. Wareham
- Medical Research Council Epidemiology Unit, University of Cambridge School of Clinical Medicine, UK (F.I., N.G.F., N.J.W.)
| | - Seung-Won Oh
- Department of Family Medicine, Seoul National University College of Medicine, and Healthcare System Gangnam Center, Seoul National University Hospital, Republic of Korea (S.W.O.)
| | - Alexis C. Wood
- United States Department of Agriculture/Agricultural Research Service Children’s Nutrition Research Center, Baylor College of Medicine, Houston, TX (M.S., A.C.W.)
| | - William S. Harris
- Fatty Acid Research Institute, Sioux Falls, SD (N.T., W.S.H.)
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls (W.S.H.)
| | | | - Dariush Mozaffarian
- Food Is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (D.M.)
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine (F.L., A.A., U.D.F., K.L.), Karolinska Institutet, Stockholm, Sweden
| |
Collapse
|
3
|
Li H, Zou X, Zhang R, Zou S, Qian F, Zheng J, Xiao AY, Guo X. Association of chronic conditions and physical multimorbidity with new-onset incontinence in a nationwide prospective cohort study of older adults ≥ 50 years in China. Age Ageing 2024; 53:afad258. [PMID: 38251743 PMCID: PMC10801828 DOI: 10.1093/ageing/afad258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2023] [Revised: 10/22/2023] [Indexed: 01/23/2024] Open
Abstract
BACKGROUND The relationship between multimorbidity (i.e. ≥ 2 chronic conditions) and incontinence (i.e. urinary and/or faecal incontinence) is underexplored. This study investigated the association between multimorbidity and incident incontinence in Chinese adults aged ≥50 years. METHODS Data from the 2011 and 2015 waves of the China Health and Retirement Longitudinal Study were used. The association between 12 chronic conditions, multimorbidity and new-onset incontinence was analysed using weighted logistic regression models. Mediation analysis was conducted to explore the potential mediators (self-reported health, subjective memory, depressive symptoms, disability, cognitive function, handgrip strength, mobility limitations, medications and frailty status) between multimorbidity and incontinence. FINDINGS Among 9,986 individuals aged ≥50 years who were continent at baseline, 5.3% (n = 521) were newly incontinent 4 years later (incident cases). The risk of incident incontinence increased with physical multimorbidity (OR 2.04, 95% CI 1.62-2.57). Compared to no chronic condition, having 1, 2, 3 and ≥ 4 chronic conditions were associated with incident incontinence with OR (95% CI): 1.41 (1.01-1.97), 1.74 (1.24-2.44), 2.82 (1.93-4.12) and 3.99 (2.29-6.95), respectively. The association between multimorbidity and incontinence was mediated by self-reported health (41.2%), medications (26.6%), mobility limitations (20.9%), depressive symptoms (12.8%), disability (11.6%), subjective memory (8.7%) and frailty status (8.3%). CONCLUSION This longitudinal study found that physical multimorbidity and specific chronic conditions may increase the risk of new-onset incontinence among Chinese adults aged ≥50 years. Self-reported health, medications and mobility limitations seemed to be important intermediate conditions between multimorbidity and incident incontinence.
Collapse
Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
| | - Xinye Zou
- Cambridge Institute of Public Health, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Ruolin Zhang
- Department of Natural and Applied Science, Duke Kunshan University, No. 8 Duke Ave., Kunshan, Jiangsu 215316, China
| | - Siyu Zou
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, 615 N. Wolfe Street, Baltimore, MD 21205, USA
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jin Zheng
- Department of Radiology, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Angela Y Xiao
- Department of International Studies, Macalester College, 1600 Grand Avenue St. Paul, St Paul, MN 55105, USA
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| |
Collapse
|
4
|
Zhou Y, Zhang X, Gao Y, Alvi RM, Erqou S, Chen Y, Wang H, Wang W, Li X, Zanni MV, Neilan TG, Vermund SH, Qian HZ, Qian F. Risk of death and readmission among individuals with heart failure and HIV: A systematic review and meta-analysis. J Infect Public Health 2024; 17:70-75. [PMID: 37992436 DOI: 10.1016/j.jiph.2023.11.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/10/2023] [Accepted: 11/02/2023] [Indexed: 11/24/2023] Open
Abstract
The association between human immunodeficiency virus (HIV) status and readmissions and death outcomes in patients with established heart failure (HF) remains unclear. We conducted a systematic search of PubMed, EMBASE, Cochrane Library, and Web of Science up to March 1st, 2023, for cohort studies of adult patients (≥18 years) diagnosed with HF and recorded HIV status at baseline. Our analysis included 7 studies with 10,328 HF patients living with HIV and 48,757 HF patients without HIV. Compared to HF patients without HIV, those with HIV had a higher risk of all-cause deaths (HR: 1.20, 95% CI: 1.15-1.25). HIV infection was also associated with increased risks of HF-associated readmission (HR: 1.34, 95% CI: 1.03-1.75) and all-cause readmission (HR: 1.27, 95% CI: 1.10-1.46). Our study highlights the independent association between HIV and poor HF outcomes, emphasizing the need for improved management in individuals living with HIV.
Collapse
Affiliation(s)
- Yaqin Zhou
- Xiangya Nursing School, Central South University, Changsha, China.
| | | | - Yanxiao Gao
- Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.
| | - Raza M Alvi
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sebhat Erqou
- Department of Medicine, Alpert Medical School of Brown University, Providence, RI, USA.
| | - Yuqing Chen
- Xiangya Nursing School, Central South University, Changsha, China.
| | - Honghong Wang
- Xiangya Nursing School, Central South University, Changsha, China.
| | - Wenru Wang
- Alice Lee Centre for Nursing Studies, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
| | - Xianhong Li
- Xiangya Nursing School, Central South University, Changsha, China; School of International Education, Hainan Medical College, Haikou, China.
| | - Markella V Zanni
- Metabolism Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Tomas G Neilan
- Division of Cardiology, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sten H Vermund
- School of Public Health, Yale University, New Haven, CT, USA.
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, CT, USA.
| | - Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
| |
Collapse
|
5
|
O’Keefe JH, Tintle NL, Harris WS, O’Keefe EL, Sala-Vila A, Attia J, Garg GM, Hure A, Bork CS, Schmidt EB, Venø SK, Chien KL, Chen YY(A, Egert S, Feldreich TR, Ärnlöv J, Lind L, Forouhi NG, Geleijnse JM, Pertiwi K, Imamura F, de Mello Laaksonen V, Uusitupa WM, Tuomilehto J, Laakso M, Lankinen MA, Laurin D, Carmichael PH, Lindsay J, Leander K, Laguzzi F, Swenson BR, Longstreth WT, Manson JE, Mora S, Cook NR, Marklund M, van Lent DM, Murphy R, Gudnason V, Ninomiya T, Hirakawa Y, Qian F, Sun Q, Hu F, Ardisson Korat AV, Risérus U, Lázaro I, Samieri C, Le Goff M, Helmer C, Steur M, Voortman T, Ikram MK, Tanaka T, Das JK, Ferrucci L, Bandinelli S, Tsai M, Guan W, Garg P, Verschuren WMM, Boer JMA, Biokstra A, Virtanen J, Wagner M, Westra J, Albuisson L, Yamagishi K, Siscovick DS, Lemaitre RN, Mozaffarian D. Omega-3 Blood Levels and Stroke Risk: A Pooled and Harmonized Analysis of 183 291 Participants From 29 Prospective Studies. Stroke 2024; 55:50-58. [PMID: 38134264 PMCID: PMC10840378 DOI: 10.1161/strokeaha.123.044281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Accepted: 10/30/2023] [Indexed: 12/24/2023]
Abstract
BACKGROUND The effect of marine omega-3 PUFAs on risk of stroke remains unclear. METHODS We investigated the associations between circulating and tissue omega-3 PUFA levels and incident stroke (total, ischemic, and hemorrhagic) in 29 international prospective cohorts. Each site conducted a de novo individual-level analysis using a prespecified analytical protocol with defined exposures, covariates, analytical methods, and outcomes; the harmonized data from the studies were then centrally pooled. Multivariable-adjusted HRs and 95% CIs across omega-3 PUFA quintiles were computed for each stroke outcome. RESULTS Among 183 291 study participants, there were 10 561 total strokes, 8220 ischemic strokes, and 1142 hemorrhagic strokes recorded over a median of 14.3 years follow-up. For eicosapentaenoic acid, comparing quintile 5 (Q5, highest) with quintile 1 (Q1, lowest), total stroke incidence was 17% lower (HR, 0.83 [CI, 0.76-0.91]; P<0.0001), and ischemic stroke was 18% lower (HR, 0.82 [CI, 0.74-0.91]; P<0.0001). For docosahexaenoic acid, comparing Q5 with Q1, there was a 12% lower incidence of total stroke (HR, 0.88 [CI, 0.81-0.96]; P=0.0001) and a 14% lower incidence of ischemic stroke (HR, 0.86 [CI, 0.78-0.95]; P=0.0001). Neither eicosapentaenoic acid nor docosahexaenoic acid was associated with a risk for hemorrhagic stroke. These associations were not modified by either baseline history of AF or prevalent CVD. CONCLUSIONS Higher omega-3 PUFA levels are associated with lower risks of total and ischemic stroke but have no association with hemorrhagic stroke.
Collapse
Affiliation(s)
- James H O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | | | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, SD
- University of South Dakota, Sioux Falls, SD
| | - Evan L O’Keefe
- Saint Luke’s Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, MO
| | - Aleix Sala-Vila
- Fatty Acid Research Institute, Sioux Falls, SD
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - John Attia
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - G Manohar Garg
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | - Alexis Hure
- The University of Newcastle, School of Biomedical Sciences and Pharmacy, Callaghan, Australia
| | | | - Erik Berg Schmidt
- Aalborg University Hospital, Department of Clinical Medicine, Aalborg, Denmark
| | - Stine Krogh Venø
- Aalborg University Hospital, Department of Clinical Biochemistry, Aalborg, Denmark
| | - Kuo-Liong Chien
- National Taiwan University, Institute of Epidemiology and Preventive Medicine, Taipei Taiwan
| | - Yun-Yu (Amelia) Chen
- Taichung Veterans General Hospital, Department of Medical Research, Taichung, Taiwan
| | - Sarah Egert
- University of Bonn, Institute of Nutrition and Food Sciences and Nutritional Physiology, Bonn, Germany
| | | | - Johan Ärnlöv
- Karolinska Institutet, Division of Family Medicine and Primary Care, Department of Neurobiology Care Sciences & Society, Solna, Sweden
| | - Lars Lind
- Uppsala University, Department of Medical Sciences Cardiovascular Epidemiology, Uppsala, Sweden
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Johanna M Geleijnse
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Kamalita Pertiwi
- Wageningen University & Research, Division of Human Nutrition and Health, Wageningen, Netherlands
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Vanessa de Mello Laaksonen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - W Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Tuomilehto
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Markku Laakso
- University of Eastern Finland, School of Medicine, Department of Internal Medicine, Kuopio, Finland
| | - Maria Anneli Lankinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Danielle Laurin
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Pierre-Hugues Carmichael
- CHU de Québec-Université Laval and VITAM Research Centers, Centre d’Excellence sur le Vieillissement de Québec, Québec, Canada
| | - Joan Lindsay
- University of Ottawa, School of Epidemiology and Public Health, Ottawa, Canada
| | - Karin Leander
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Federica Laguzzi
- Karolinska Institutet, Institute of Environmental Medicine, Unit of Cardiovascular and Nutritional Epidemiology, Stockholm, Sweden
| | - Brenton R Swenson
- University of Washington, Cardiovascular Health Research Unit, Seattle, WA
| | - William T Longstreth
- University of Washington, Departments of Neurology and Epidemiology, Seattle, WA
| | - JoAnn E Manson
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Samia Mora
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Nancy R Cook
- Harvard Medical School, Department of Medicine, Brigham & Women’s Hospital, Boston, MA
| | - Matti Marklund
- The George Institute for Global Health, University of New South Wales, Newtown, NSW Australia; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland: and Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Debora Melo van Lent
- University of Texas, Glenn Biggs Institute for Alzheimer’s and Neurodegenerative Diseases, San Antonio, TX
| | - Rachel Murphy
- University of British Columbia, Cancer Control Research, British Columbia Cancer, School of Population and Public Health, Vancouver, Canada
| | | | - Toshihara Ninomiya
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Yoichiro Hirakawa
- Kyushu University, Department of Epidemiology and Public Health and Center for Cohort Studies, Fukouka, Japan
| | - Frank Qian
- Harvard Medical School, T.H. Chan School of Public Health and Beth Deaconess Medical Center, Boston, MA
| | - Qi Sun
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | - Frank Hu
- Harvard Medical School, T.H. Chan School of Public Health and Channing Division of Network Medicine Brigham and Women’s Hospital, Boston, MA
| | | | - Ulf Risérus
- Uppsala University, Department of Public Health and Caring Sciences Clinical Nutrition and Metabolism Unit, Uppsala, Sweden
| | - Iolanda Lázaro
- Hospital del Mar Medical Research Institute, Barcelona, Spain
| | - Cecilia Samieri
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Mélanie Le Goff
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Catherine Helmer
- University of Bordeaux, Bordeaux Population Health Research Centre, Bordeaux, France
| | - Marinka Steur
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Trudy Voortman
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - M Kamran Ikram
- University Medical Center Rotterdam, Department of Epidemiology, Rotterdam, The Netherlands
| | - Toshiko Tanaka
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Luigi Ferrucci
- National Institute of Health, National Institute on Aging, Longitudinal Studies Section, Baltimore, MD
| | | | - Michael Tsai
- University of Minnesota, Department of Laboratory Medicine and Pathology, Minneapolis, MN
| | - Weihua Guan
- University of Minnesota, Division of Biostatistics, Minneapolis, MN
| | - Parveen Garg
- University of Southern California, Department of Medicine, Cardiology, Los Angeles, CA
| | - WM Monique Verschuren
- National Institute for Public Health and the Environment Bilthoven, The Netherlands, Julius Center for Health Sciences and Primary Care and Centre for Nutrition, Prevention and Health Services, Utrecht, The Netherlands
| | - Jolanda MA Boer
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Anneke Biokstra
- National Institute for Public Health and the Environment Bilthoven, The Netherlands
| | - Jyrki Virtanen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Michael Wagner
- University Hospital, Depts of Neurodegenerative Diseases and Geriatric Psychiatry and German Center for Neurodegenerative Diseases, Bonn, Germany
| | | | | | - Kazumasa Yamagishi
- University of Tsukubu, Department of Public Health Medicine, Tsukuba, Japan
| | - David S Siscovick
- New York Academy of Medicine, Department of Epidemiology, New York, New York
| | | | | |
Collapse
|
6
|
Qian F, Siscovick D. Reply: Omega-3 Fatty Acids and Atrial Fibrillation: The Importance of the Clinical Question. J Am Coll Cardiol 2023; 82:e207. [PMID: 37968027 DOI: 10.1016/j.jacc.2023.09.808] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 09/13/2023] [Indexed: 11/17/2023]
Affiliation(s)
- Frank Qian
- Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts, USA; Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, Massachusetts, USA
| | | |
Collapse
|
7
|
Garg PK, Guan W, Nomura S, Weir NL, Tintle N, Virtanen JK, Hirakawa Y, Qian F, Sun Q, Rimm E, Lemaitre RN, Jensen PN, Heckbert SR, Imamura F, Steur M, Leander K, Laguzzi F, Voortman T, Ninomiya T, Mozaffarian D, Harris WS, Siscovick DS, Tsai MY. n-6 fatty acid biomarkers and incident atrial fibrillation: an individual participant-level pooled analysis of 11 international prospective studies. Am J Clin Nutr 2023; 118:921-929. [PMID: 37769813 DOI: 10.1016/j.ajcnut.2023.09.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 09/02/2023] [Accepted: 09/18/2023] [Indexed: 10/03/2023] Open
Abstract
BACKGROUND The presence of atrial fibrillation (AF) is associated with an over 2-fold increased risk of stroke, heart failure, and cardiovascular mortality. Long chain n-6 PUFAs have been suggested to have a variety of beneficial biologic effects that may reduce AF development; however, prior studies evaluating this relationship are limited. OBJECTIVES We prospectively evaluated the association between circulating levels of linoleic acid (LA) and arachidonic acid (AA) with incident AF. METHODS We used participant-level data from a global consortium of 11 prospective cohort studies with measurements of LA and AA in adults (aged ≥18 y). Participating studies conducted de novo analyses using a prespecified analytical plan with harmonized definitions for exposures, outcomes, covariates, and subgroups. Associations were pooled using inverse-variance weighted meta-analysis. RESULTS Among 41,335 participants, 6173 incident cases of AF were ascertained, with median follow-up time of 14 y. In multivariable analysis, per interquintile range (difference between the 10th and 90th percentiles for each fatty acid), circulating n-6 levels were not associated with incident AF. For LA, the hazard ratio per interquintile range was 0.96 (95% confidence interval [CI]: 0.89, 1.04), and for AA, 1.02 (95% CI: 0.94, 1.10), with little evidence of heterogeneity between cohorts. Associations were similarly nonsignificant across subgroups of age, race, and biomarker fraction. CONCLUSIONS Biomarkers of n-6 fatty acids including LA and AA are not associated with incident AF. These findings suggest that overall effects of n-6 PUFAs on influencing AF development are neutral.
Collapse
Affiliation(s)
- Parveen K Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, CA, United States
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN, United States
| | - Sarah Nomura
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Natalie L Weir
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States
| | - Nathan Tintle
- Department of Population Health Sciences, College of Nursing, University of Illinois-Chicago, Chicago, IL, United States
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Eric Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Paul N Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, United States
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA, United States
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Marinka Steur
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center, Rotterdam, the Netherlands
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States; Division of Cardiology, Tufts Medical Center, Boston, MA, United States
| | - William S Harris
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, United States
| | | | - Michael Y Tsai
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States.
| |
Collapse
|
8
|
Li H, Qian F, Han L, Feng W, Zheng D, Guo X, Zhang H. Association of Healthy Sleep Patterns with Risk of Mortality and Life Expectancy at Age 30 Years: A Population-Based Cohort Study. QJM 2023:hcad237. [PMID: 37831896 DOI: 10.1093/qjmed/hcad237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 09/26/2023] [Indexed: 10/15/2023] Open
Abstract
BACKGROUND The importance of sleep on cardiovascular health has been increasingly acknowledged. However, the effect of combined sleep behaviors on life expectancy remains understudied. AIM To investigate the association between sleep patterns with total and cause-specific mortality and life expectancy, using a nationally representative sample of US adults. DESIGN Population based cohort study. METHODS This cohort study included 172,321 adults aged 18 years or older in the National Health Interview Survey (2013-2018) with linkage to the National Death Index records up to December 31st, 2019. The life expectancy at age 30 years by the number of low-risk sleep score was estimated using a flexible parametric survival model. RESULTS During a median follow-up of 4.3 years, of the 172,321 adults (50.9% women; mean [SE] age, 46.98 [0.10] years), 8,681 individuals died. The adjusted hazard ratios (95% CI) of participants with five versus 0-1 low-risk sleep factors for all-cause, cardiovascular, and cancer mortality were 0.70 (0.63-0.77), 0.79 (0.67-0.93) and 0.81 (0.66-0.98), respectively. Nearly 8% (population attributable fraction 7.9%, 95% CI: 5.5-10.4) of mortality in this cohort could be attributed to suboptimal sleep patterns. When compared to those with 0-1 low-risk sleep factors, life expectancy at age 30 years for individuals with all five low-risk sleep factors was 4.7 (95% CI: 2.7-6.7) years greater for men and 2.4 (95% CI: 0.4-4.4) years greater for women. CONCLUSIONS Our findings suggest that greater adherence to a low-risk sleep pattern may lead to significant gains in life expectancy among US adults.
Collapse
Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Heart Center and Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Frank Qian
- Section of Cardiovascular Medicine, Boston Medical Center and Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
| | - Lu Han
- Medical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China
| | - Wei Feng
- Neuroscience Department, Washington University in Saint Louis, St. Louis, MO, USA
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Xiuhua Guo
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Hongjia Zhang
- Department of Cardiovascular Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
- Beijing Lab for Cardiovascular Precision Medicine, Beijing, China
| |
Collapse
|
9
|
Qian F, Tintle N, Jensen PN, Lemaitre RN, Imamura F, Feldreich TR, Nomura SO, Guan W, Laguzzi F, Kim E, Virtanen JK, Steur M, Bork CS, Hirakawa Y, O'Donoghue ML, Sala-Vila A, Ardisson Korat AV, Sun Q, Rimm EB, Psaty BM, Heckbert SR, Forouhi NG, Wareham NJ, Marklund M, Risérus U, Lind L, Ärnlöv J, Garg P, Tsai MY, Pankow J, Misialek JR, Gigante B, Leander K, Pester JA, Albert CM, Kavousi M, Ikram A, Voortman T, Schmidt EB, Ninomiya T, Morrow DA, Bayés-Genís A, O'Keefe JH, Ong KL, Wu JHY, Mozaffarian D, Harris WS, Siscovick DS. Omega-3 Fatty Acid Biomarkers and Incident Atrial Fibrillation. J Am Coll Cardiol 2023; 82:336-349. [PMID: 37468189 DOI: 10.1016/j.jacc.2023.05.024] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/04/2023] [Accepted: 05/09/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND The relationship between omega-3 fatty acids and atrial fibrillation (AF) remains controversial. OBJECTIVES This study aimed to determine the prospective associations of blood or adipose tissue levels of eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with incident AF. METHODS We used participant-level data from a global consortium of 17 prospective cohort studies, each with baseline data on blood or adipose tissue omega-3 fatty acid levels and AF outcomes. Each participating study conducted a de novo analyses using a prespecified analytical plan with harmonized definitions for exposures, outcome, covariates, and subgroups. Associations were pooled using inverse-variance weighted meta-analysis. RESULTS Among 54,799 participants from 17 cohorts, 7,720 incident cases of AF were ascertained after a median 13.3 years of follow-up. In multivariable analysis, EPA levels were not associated with incident AF, HR per interquintile range (ie, the difference between the 90th and 10th percentiles) was 1.00 (95% CI: 0.95-1.05). HRs for higher levels of DPA, DHA, and EPA+DHA, were 0.89 (95% CI: 0.83-0.95), 0.90 (95% CI: 0.85-0.96), and 0.93 (95% CI: 0.87-0.99), respectively. CONCLUSIONS In vivo levels of omega-3 fatty acids including EPA, DPA, DHA, and EPA+DHA were not associated with increased risk of incident AF. Our data suggest the safety of habitual dietary intakes of omega-3 fatty acids with respect to AF risk. Coupled with the known benefits of these fatty acids in the prevention of adverse coronary events, our study suggests that current dietary guidelines recommending fish/omega-3 fatty acid consumption can be maintained.
Collapse
Affiliation(s)
- Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt University, Sioux Center, Iowa, USA; Fatty Acid Research Institute, Sioux Falls, South Dakota, USA
| | - Paul N Jensen
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, Washington, USA
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Tobias Rudholm Feldreich
- School of Health and Social Sciences, Dalarna University, Falun, Sweden; Center for Clinical Research Dalarna, Region Dalarna, Falun, Sweden
| | - Sarah Oppeneer Nomura
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, Minnesota, USA
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Eunjung Kim
- Division of Preventive Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Marinka Steur
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Christian S Bork
- Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Michelle L O'Donoghue
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Aleix Sala-Vila
- Fatty Acid Research Institute, Sioux Falls, South Dakota, USA; Cardiovascular Risk and Nutrition - Hospital Del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Andres V Ardisson Korat
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, Massachusetts, USA
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology and Health Systems and Population Health, University of Washington, Seattle, Washington, USA
| | - Susan R Heckbert
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, Washington, USA
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, United Kingdom
| | - Matti Marklund
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden; Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA; The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Johan Ärnlöv
- Center for Clinical Research Dalarna, Region Dalarna, Falun, Sweden; School of Health and Social Studies, Dalarna University, Falun, Sweden; Division of Family Medicine and Primary Care, Department of Neurobiology, Care Sciences and Society (NVS), Karolinska Institute, Stockholm, Sweden
| | - Parveen Garg
- Division of Cardiology, University of Southern California Keck School of Medicine, Los Angeles, California, USA
| | - Michael Y Tsai
- Department of Lab Medicine and Pathology, University of Minnesota, Minneapolis, Minnesota, USA
| | - James Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Jeffrey R Misialek
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Julie A Pester
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Christine M Albert
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA
| | - Maryam Kavousi
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Arfan Ikram
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center, Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University and Research, Wageningenn, the Netherlands
| | - Erik B Schmidt
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan; Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - David A Morrow
- TIMI Study Group, Cardiovascular Division, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Antoni Bayés-Genís
- Department of Cardiology, Heart Institute, Hospital Universitari Germans Trias i Pujol, Barcelona, Spain; Department of Medicine, Universitat Autònoma de Barcelona, Barcelona, Spain; Centro de Investigación Biomédica en Red Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - James H O'Keefe
- Saint Luke's Mid America Heart Institute, University of Missouri-Kansas City, Kansas City, Missouri, USA
| | - Kwok Leung Ong
- NHMRC Clinical Trials Centre, University of Sydney, Sydney, New South Wales, Australia
| | - Jason H Y Wu
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, Massachusetts, USA; Division of Cardiology, Tufts Medical Center, Boston, Massachusetts, USA
| | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, South Dakota, USA; Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, South Dakota, USA
| | | |
Collapse
|
10
|
Hsu WT, Lee YT, Tan J, Chang YH, Qian F, Liu KY, Hsiung JC, Yo CH, Tang SC, Jiang X, Lee CC. Genome-phenome wide association study of broadly defined headache. Brain Commun 2023; 5:fcad167. [PMID: 37288313 PMCID: PMC10243784 DOI: 10.1093/braincomms/fcad167] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 02/13/2023] [Accepted: 05/22/2023] [Indexed: 06/09/2023] Open
Abstract
Until recently, most genetic studies of headache have been conducted on participants with European ancestry. We therefore conducted a large-scale genome-wide association study of self-reported headache in individuals of East Asian ancestry (specifically those who were identified as Han Chinese). In this study, 108 855 participants were enrolled, including 12 026 headache cases from the Taiwan Biobank. For broadly defined headache phenotype, we identified a locus on Chromosome 17, with the lead single-nucleotide polymorphism rs8072917 (odds ratio 1.08, P = 4.49 × 10-8), mapped to two protein-coding genes RNF213 and ENDOV. For severe headache phenotype, we found a strong association on Chromosome 8, with the lead single-nucleotide polymorphism rs13272202 (odds ratio 1.30, P = 1.02 × 10-9), mapped to gene RP11-1101K5.1. We then conducted a conditional analysis and a statistical fine-mapping of the broadly defined headache-associated loci and identified a single credible set of loci with rs8072917 supporting that this lead variant was the true causal variant on RNF213 gene region. RNF213 replicated the result of previous studies and played important roles in the biological mechanism of broadly defined headache. On the basis of the previous results found in the Taiwan Biobank, we conducted phenome-wide association studies for the lead variants using data from the UK Biobank and found that the causal variant (single-nucleotide polymorphism rs8072917) was associated with muscle symptoms, cellulitis and abscess of face and neck, and cardiogenic shock. Our findings foster the genetic architecture of headache in individuals of East Asian ancestry. Our study can be replicated using genomic data linked to electronic health records from a variety of countries, therefore affecting a wide range of ethnicities globally. Our genome-phenome association study may facilitate the development of new genetic tests and novel drug mechanisms.
Collapse
Affiliation(s)
| | | | - Jasmine Tan
- Health Data Science Research Group, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Yung-Han Chang
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei 100, Taiwan
- Department of Biostatistics, University of California, Los Angeles, CA 90095, USA
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA
| | - Kuei-Yu Liu
- Health Data Science Research Group, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Jo-Ching Hsiung
- Department of Pediatrics, Einstein Medical Center-Philadelphia, National Taiwan University Hospital, Philadelphia, PA 19141, USA
| | - Chia-Hung Yo
- Department of Emergency Medicine, Far Eastern Memorial Hospital, New Taipei City 220, Taiwan
| | - Sung-Chun Tang
- Department of Neurology, National Taiwan University Hospital, Taipei 100, Taiwan
| | - Xia Jiang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Clinical Neuroscience, Center for Molecular Medicine, Karolinska Institutet, 171 76 Stockholm, Sweden
| | - Chien-Chang Lee
- Correspondence to: Chien-Chang Lee, MD, ScD The Center for Intelligent Healthcare, Department of Emergency Medicine Health Data Science Research Group, National Taiwan University Hospital No.7, Chung Shan S. Rd., Zhongzheng Dist., Taipei City 100, Taiwan E-mail:
| |
Collapse
|
11
|
Zhang C, Zhou C, Xu W, Zheng S, Gao Y, Li P, Deng L, Zhang X, Jiang Q, Qian F, Li X, Wang H, Zou H, Xia Y, Wang T, Lu H, Qian HZ. Transmission risk of asymptomatic SARS-CoV-2 infection: a systematic review and meta-analysis. Infect Med (Beijing) 2023; 2:11-18. [PMID: 38013777 PMCID: PMC9757919 DOI: 10.1016/j.imj.2022.12.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/24/2022] [Accepted: 12/03/2022] [Indexed: 12/23/2022]
Abstract
Background Global evidence on the transmission of asymptomatic SARS-CoV-2 infection needs to be synthesized. Methods A search of 4 electronic databases (PubMed, EMBASE, Cochrane Library, and Web of Science databases) as of January 24, 2021 was performed. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed. Studies which reported the transmission rate among close contacts with asymptomatic SARS-CoV-2 cases were included, and transmission activities occurred were considered. The transmission rates were pooled by zero-inflated beta distribution. The risk ratios (RRs) were calculated using random-effects models. Results Of 4923 records retrieved and reviewed, 15 studies including 3917 close contacts with asymptomatic indexes were eligible. The pooled transmission rates were 1.79 per 100 person-days (or 1.79%, 95% confidence interval [CI] 0.41%-3.16%) by asymptomatic index, which is significantly lower than by presymptomatic (5.02%, 95% CI 2.37%-7.66%; p<0.001), and by symptomatic (5.27%, 95% CI 2.40%-8.15%; p<0.001). Subgroup analyses showed that the household transmission rate of asymptomatic index was (4.22%, 95% CI 0.91%-7.52%), four times significantly higher than non-household transmission (1.03%, 95% CI 0.73%-1.33%; p=0.03), and the asymptomatic transmission rate in China (1.82%, 95% CI 0.11%-3.53%) was lower than in other countries (2.22%, 95% CI 0.67%-3.77%; p=0.01). Conclusions People with asymptomatic SARS-CoV-2 infection are at risk of transmitting the virus to their close contacts, particularly in household settings. The transmission potential of asymptomatic infection is lower than symptomatic and presymptomatic infections. This meta-analysis provides evidence for predicting the epidemic trend and promulgating vaccination and other control measures. Registered with PROSPERO International Prospective Register of Systematic Reviews, CRD42021269446; https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=269446.
Collapse
Affiliation(s)
- Ci Zhang
- Xiangya School of Nursing, Central South University, Changsha, China
- Xiangya Center for Evidence-Based Nursing Practice & Healthcare Innovation (A JBI Affiliated Group), Changsha, Hunan Province, China
| | - Chao Zhou
- Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China
| | - Wanqing Xu
- T.H. Chan School of Public Health, Harvard University, Boston, MA, USA
| | - Shimin Zheng
- Department of Biostatistics and Epidemiology, East Tennessee State University, Johnson City, TN, USA
| | - Yanxiao Gao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Peiqi Li
- School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Luojia Deng
- Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China
| | | | - Qianxue Jiang
- Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Xianhong Li
- Xiangya School of Nursing, Central South University, Changsha, China
- Xiangya Center for Evidence-Based Nursing Practice & Healthcare Innovation (A JBI Affiliated Group), Changsha, Hunan Province, China
| | - Honghong Wang
- Xiangya School of Nursing, Central South University, Changsha, China
- Xiangya Center for Evidence-Based Nursing Practice & Healthcare Innovation (A JBI Affiliated Group), Changsha, Hunan Province, China
| | - Huachun Zou
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Yinglin Xia
- Department of Medicine, University of Illinois at Chicago, Chicago, IL, USA
| | - Tao Wang
- Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China
| | - Hui Lu
- Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, Shanghai, China
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, CT, USA
| |
Collapse
|
12
|
Li H, Qian F. LOW-RISK SLEEP PATTERNS, MORTALITY, AND LIFE EXPECTANCY AT AGE 30 YEARS: A PROSPECTIVE STUDY OF 172 321 US ADULTS. J Am Coll Cardiol 2023. [DOI: 10.1016/s0735-1097(23)02119-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
|
13
|
Ardisson Korat AV, Qian F, Malik V, Lehr M, Imamura F, Tintle N, Laakso M, van Dam R, Harris W, Marklund M, Samieri C, Senn M, Leander K, Forouhi N, Riserus U, Chien KL, Chen A, Wood A, Guan W, Tsai MY, Murphy R, Siscovick DS, Lemaitre R, Mozaffarian D, Sun Q. Abstract MP62: Fatty Acid Biomarkers of 15:0, 17:0 and
Trans
16:1n-7 and Incident Coronary Heart Disease and Stroke: A Pooling Project of 15 Prospective Cohorts in the Fatty Acids and Outcomes Research Consortium. Circulation 2023. [DOI: 10.1161/circ.147.suppl_1.mp62] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Introduction:
Previous studies have reported inverse associations of circulating and tissue levels of pentadecanoic acid (15:0), heptadecanoic acid (17:0) and
trans
-palmitoleic acid (
trans
16:1n-7), which have been proposed as potential biomarkers of dairy fat intake, with risk of type-2 diabetes and certain cardiovascular outcomes.
Hypothesis:
We assessed the hypothesis that circulating and tissue levels of 15:0, 17:0,
trans
16:1n-7 are inversely associated with risk of incident coronary heart disease (CHD) and stroke in a global consortium of prospective studies.
Methods:
We used data from 15 prospective cohorts in the Fatty Acids and Outcomes Research Consortium. We included adults (age≥18 years) who were free of cardiovascular diseases and had blood or adipose tissue measurements of 15:0, 17:0 or
trans
16:1n-7. We used a harmonized analysis protocol with each exposure standardized to the interquintile range (IQR): difference between the 10
th
and 90
th
percentiles of each fatty acid to conduct new individual participant-level analyses. We harmonized covariate definitions across studies to include demographic, lifestyle and health variables, and levels of other fatty acids associated with CHD or stroke. We used inverse-variance meta-analysis to calculate the pooled relative risks (RR) and 95% confidence intervals (CI) for each outcome. We also calculated Spearman correlation coefficients between levels of each fatty acid exposure and potential dietary determinants of their levels (intakes of total, high-fat and low-fat dairy, meat from ruminant animals, fish and dietary fiber) among 6 studies with dietary data.
Results and Conclusions:
Among 34,187 participants, 5,790 incident CHD and 3,098 stroke cases were documented during a maximum follow-up of 23.3 years. We did not observe significant associations of any of the fatty acid biomarkers with risk of CHD or stroke. The pooled multivariate RR and 95% CI of CHD per IQR were 0.97 (0.92, 1.02) for 15:0, 0.97 (0.92, 1.02) for 17:0, 1.11 (0.97, 1.26) for
trans
16:1n-7, and 0.98 (0.92, 1.04) for the sum of the fatty acids. The respective RR and 95% of stroke were 1.01 (0.93, 1.09) for 15:0, 0.91 (0.81, 1.03) for 17:0, 0.99 (0.83, 1.18) for
trans
16:1n-7, and 0.93 (0.85, 1.04) for the summed fatty acids. Additionally, we did not observe significant heterogeneity by age, sex, race/ethnicity, world region, baseline hypertension status or lipid compartment. Circulating and tissue levels of 15:0, 17:0 and
trans
16:1n-7 were weakly correlated with intakes of total or high-fat dairy (Spearman correlations [
r
= 0.05 to 0.37]) but were not correlated with intakes of low-fat dairy, ruminant meat, fish or dietary fiber [
r
= -0.08 to 0.09]. In conclusion, circulating and tissue levels of 15:0, 17:0,
trans
16:1n-7 were not associated with risk of CHD or stroke. Our study suggests a limited role for these fatty acids in the etiology of cardiovascular disease.
Collapse
Affiliation(s)
| | | | | | - Marcus Lehr
- Jean Mayer USDA Human Nutrition Rsch Cntr on Aging at Tufts Univ (HNRCA), Boston, MA
| | | | | | - Markku Laakso
- Institute of Clinical Medicine, Univ of Eastern Finland, Kuopio, Finland, Kuopio, Finland
| | - Rob van Dam
- Saw Swee Hock Sch of Public Health, National Univ of Singapore, Singapore, Singapore, Singapore
| | - William Harris
- Dept of Internal Medicine, Sanford Sch of Medicine, Univ of South Dakota, Sioux Falls, SD, USA. The Fatty Acid Rsch Institute, Sioux Falls, SD, USA, Siux Falls, SD
| | - Matti Marklund
- The George Institute for Global Health and the Faculty of Medicine, Univ New South Wales, Sydney, Australia
| | | | - MacKenzie Senn
- USDA/ARS Children's Nutrition Rsch Cntr, Baylor College of Medicine, Houston, TX
| | | | - Nita Forouhi
- MRC Epidemiology Unit, Univ of Cambridge Sch of Clinical Medicine, Cambridge, United Kingdom
| | | | - Kou-Liong Chien
- 1. Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan Univ and Dept of Internal Medicine, National Taiwan Univ Hosp and College of Medicine, Taipei, Taiwan
| | - Amelia Chen
- Dept of Med Rsch, Taichung Veterans General Hosp, Taichung, Taiwan. 2. Heart Rhythm Cntr, Div of Cardiology, Dept of Medicine, Taipei Veterans General Hosp, Taipei, Taiwan, Tapei, Taiwan
| | | | - Weihua Guan
- Univ Minnesota, Minneapolis, United States Minor Outlying Islands
| | | | | | | | - Rozenn Lemaitre
- 26. Cardiovascular Health Rsch Unit, Dept of Medicine, Univ of Washington, Seattle, WA
| | | | - Qi Sun
- HARVARD SCHOOL OF PUBLIC HEALTH, Boston, MA
| |
Collapse
|
14
|
Ong KL, Marklund M, Huang L, Rye KA, Hui N, Pan XF, Rebholz CM, Kim H, Steffen LM, van Westing AC, Geleijnse JM, Hoogeveen EK, Chen YY, Chien KL, Fretts AM, Lemaitre RN, Imamura F, Forouhi NG, Wareham NJ, Birukov A, Jäger S, Kuxhaus O, Schulze MB, de Mello VD, Tuomilehto J, Uusitupa M, Lindström J, Tintle N, Harris WS, Yamasaki K, Hirakawa Y, Ninomiya T, Tanaka T, Ferrucci L, Bandinelli S, Virtanen JK, Voutilainen A, Jayasena T, Thalamuthu A, Poljak A, Bustamante S, Sachdev PS, Senn MK, Rich SS, Tsai MY, Wood AC, Laakso M, Lankinen M, Yang X, Sun L, Li H, Lin X, Nowak C, Ärnlöv J, Risérus U, Lind L, Le Goff M, Samieri C, Helmer C, Qian F, Micha R, Tin A, Köttgen A, de Boer IH, Siscovick DS, Mozaffarian D, Wu JH. Association of omega 3 polyunsaturated fatty acids with incident chronic kidney disease: pooled analysis of 19 cohorts. BMJ 2023; 380:e072909. [PMID: 36653033 PMCID: PMC9846698 DOI: 10.1136/bmj-2022-072909] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 12/12/2022] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To assess the prospective associations of circulating levels of omega 3 polyunsaturated fatty acid (n-3 PUFA) biomarkers (including plant derived α linolenic acid and seafood derived eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid) with incident chronic kidney disease (CKD). DESIGN Pooled analysis. DATA SOURCES A consortium of 19 studies from 12 countries identified up to May 2020. STUDY SELECTION Prospective studies with measured n-3 PUFA biomarker data and incident CKD based on estimated glomerular filtration rate. DATA EXTRACTION AND SYNTHESIS Each participating cohort conducted de novo analysis with prespecified and consistent exposures, outcomes, covariates, and models. The results were pooled across cohorts using inverse variance weighted meta-analysis. MAIN OUTCOME MEASURES Primary outcome of incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m2. In a sensitivity analysis, incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m2 and <75% of baseline rate. RESULTS 25 570 participants were included in the primary outcome analysis and 4944 (19.3%) developed incident CKD during follow-up (weighted median 11.3 years). In multivariable adjusted models, higher levels of total seafood n-3 PUFAs were associated with a lower incident CKD risk (relative risk per interquintile range 0.92, 95% confidence interval 0.86 to 0.98; P=0.009, I2=9.9%). In categorical analyses, participants with total seafood n-3 PUFA level in the highest fifth had 13% lower risk of incident CKD compared with those in the lowest fifth (0.87, 0.80 to 0.96; P=0.005, I2=0.0%). Plant derived α linolenic acid levels were not associated with incident CKD (1.00, 0.94 to 1.06; P=0.94, I2=5.8%). Similar results were obtained in the sensitivity analysis. The association appeared consistent across subgroups by age (≥60 v <60 years), estimated glomerular filtration rate (60-89 v ≥90 mL/min/1.73 m2), hypertension, diabetes, and coronary heart disease at baseline. CONCLUSIONS Higher seafood derived n-3 PUFA levels were associated with lower risk of incident CKD, although this association was not found for plant derived n-3 PUFAs. These results support a favourable role for seafood derived n-3 PUFAs in preventing CKD.
Collapse
Affiliation(s)
- Kwok Leung Ong
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Matti Marklund
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- The Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Liping Huang
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Kerry-Anne Rye
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Nicholas Hui
- Lipid Research Group, School of Biomedical Sciences, University of New South Wales, Sydney, NSW, Australia
| | - Xiong-Fei Pan
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China
- Shuangliu Institute of Women's and Children's Health, Shuangliu Maternal and Child Health Hospital, Chengdu, Sichuan, China
| | - Casey M Rebholz
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Hyunju Kim
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Lyn M Steffen
- University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Anniek C van Westing
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Johanna M Geleijnse
- Division of Human Nutrition and Health, Wageningen University, Wageningen, The Netherlands
| | - Ellen K Hoogeveen
- Department of Nephrology, Jeroen Bosch Hospital, Den Bosch, The Netherlands
- Institute of Epidemiology and Preventive Medicine College of Public Health, National Taiwan University, Taipei, Taiwan
- Department of Medical Research, Taichung Veterans General Hospital, Taichung, Taiwan
- Heart Rhythm Center, Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | | | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine College of Public Health, National Taiwan University, Taipei, Taiwan
| | - Amanda M Fretts
- Department of Epidemiology, University of Washington, Seattle, WA, USA
| | | | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Nicholas J Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, UK
| | - Anna Birukov
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Susanne Jäger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Olga Kuxhaus
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- German Center for Diabetes Research (DZD), München-Neuherberg, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Vanessa Derenji de Mello
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaakko Tuomilehto
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
- Department of Public Health, University of Helsinki, Helsinki, Finland
- Saudi Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Matti Uusitupa
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Jaana Lindström
- Population Health Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Nathan Tintle
- The Fatty Acid Research Institute, Sioux Falls, SD, USA
- Department of Population Health Nursing Science, College of Nursing, University of Illinois-Chicago, Chicago, IL, USA
| | - William S Harris
- The Fatty Acid Research Institute, Sioux Falls, SD, USA
- Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Keisuke Yamasaki
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Toshiko Tanaka
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, MD, USA
| | - Luigi Ferrucci
- Translational Gerontology Branch, National Institute on Aging, National Institute of Health, Baltimore, MD, USA
| | | | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Ari Voutilainen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Tharusha Jayasena
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Anbupalam Thalamuthu
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | - Anne Poljak
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
| | - Sonia Bustamante
- Mark Wainwright Analytical Centre, University of New South Wales, Sydney, NSW, Australia
- Centre for Healthy Brain Ageing, School of Psychiatry, University of New South Wales, Sydney, NSW, Australia
| | | | - Mackenzie K Senn
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Stephen S Rich
- Department of Public Health Sciences, University of Virginia, Charlottesville, VA, USA
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA, USA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, USA
| | - Alexis C Wood
- USDA/ARS Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Kuopio University Hospital, Kuopio, Finland
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, School of Medicine, University of Eastern Finland, Kuopio, Finland
| | - Xiaowei Yang
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Liang Sun
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Huaixing Li
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Xu Lin
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
- Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Christoph Nowak
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden
| | - Johan Ärnlöv
- Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, Sweden
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - Mélanie Le Goff
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Cécilia Samieri
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Catherine Helmer
- Bordeaux Population Health Research Centre, INSERM, UMR 1219, University of Bordeaux, Bordeaux, France
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Renata Micha
- Department of Food Science and Nutrition, University of Thessaly, Karditsa, Greece
- The Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Adrienne Tin
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Department of Medicine, University of Mississippi Medical Center, Jackson, MS, USA
| | - Anna Köttgen
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
- Institute of Genetic Epidemiology, Department of Data Driven Medicine, Faculty of Medicine and Medical Centre, University of Freiburg, Freiburg, Germany
| | - Ian H de Boer
- Division of Nephrology, Department of Medicine, University of Washington, Seattle, WA, USA
- Kidney Research Institute, University of Washington, Seattle, WA, USA
- Puget Sound VA Healthcare System, Seattle, WA, USA
| | | | - Dariush Mozaffarian
- The Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA
| | - Jason Hy Wu
- The George Institute for Global Health, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
- School of Population Health, University of New South Wales, Sydney, NSW, Australia
| |
Collapse
|
15
|
Liu G, Li Y, Pan A, Hu Y, Chen S, Qian F, Rimm EB, Manson JE, Stampfer MJ, Giatsidis G, Sun Q. Adherence to a Healthy Lifestyle in Association With Microvascular Complications Among Adults With Type 2 Diabetes. JAMA Netw Open 2023; 6:e2252239. [PMID: 36701156 PMCID: PMC9880795 DOI: 10.1001/jamanetworkopen.2022.52239] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
IMPORTANCE The association between an overall healthy lifestyle and the subsequent risk of microvascular complications among patients with diabetes remains unclear. OBJECTIVE To examine the association between adherence to a healthy lifestyle before and after diabetes diagnosis and the risk of subsequent microvascular complications among adults with diabetes. DESIGN, SETTING, AND PARTICIPANTS This prospective cohort study included incident patients with type 2 diabetes who were free of cardiovascular disease and cancer at the time of diabetes diagnosis and completed the diabetes supplementary questionnaires in the Nurses' Health Study (in 2000 and 2005) and the Health Professionals Follow-Up Study (in 2000, 2004, and 2008) in the US. Data were analyzed from April to August 2021. EXPOSURES Diet and lifestyle factors before and after diabetes diagnosis were assessed by validated questionnaires. A healthy lifestyle consisted of nonsmoking, having a healthy body weight (a body mass index of ≥18.5 or <25), engaging in moderate-to-vigorous physical activity (≥150 minutes per week), consuming a high-quality diet (top 40th percentile of the Alternative Healthy Eating Index), and moderate alcohol drinking (5-15 g/d for women and 5-30 g/d for men). MAIN OUTCOMES AND MEASURES Physician-diagnosed microvascular complications including diabetic neuropathy, retinopathy, nephropathy, and foot disorders were self-reported at questionnaire surveys. RESULTS A total of 7077 patients with type 2 diabetes were included in the cohort (4982 women in NHS and 2095 men in HPFS, mean [SD] age 61 [8.8], 94.2% White). During follow-up, 2878 patients developed microvascular complications. After multivariable adjustment, adherence to a healthy lifestyle before and after diabetes diagnosis were both associated with a lower risk of developing microvascular complications. The relative risk (RR) for participants with 4 or more low-risk lifestyle factors before diabetes diagnosis compared with zero was 0.73 (95% CI, 0.60-0.91) for any microvascular complications, 0.71 (95% CI, 0.54-0.93) for diabetic neuropathy, 0.76 (95% CI, 0.57-1.01) for diabetic retinopathy, 0.42 (95% CI, 0.23-0.79) for diabetic nephropathy, and 0.60 (95% CI, 0.35-1.00) for diabetic foot disorders. Similar results were observed for adherence to a healthy lifestyle after diabetes diagnosis, with an RR of 0.68 (95% CI, 0.55-0.83) for any microvascular complications, 0.67 (95% CI, 0.51-0.88) for diabetic neuropathy, 0.65 (95% CI, 0.48-0.86) for diabetic retinopathy, 0.57 (95% CI, 0.34-0.98) for diabetic nephropathy, and 0.62 (95% CI, 0.37-1.05) for diabetic foot disorders. In addition, greater improvement in lifestyle factors from before to after diabetes diagnosis was also significantly associated with a lower risk of neuropathy or total microvascular complications. Each increment in number of low-risk lifestyle factors was associated with a 6% (RR, 0.94; 95% CI, 0.90-0.98) lower risk for any microvascular complications and a 9% (RR, 0.91; 95% CI, 0.86-0.96) lower risk for diabetic neuropathy. Consistent results were observed when analyses were stratified by age at diabetes diagnosis, sex/cohort, or lifestyle factors before diabetes diagnosis. CONCLUSIONS AND RELEVANCE In this cohort study, adhering to an overall healthy lifestyle was associated with a significantly lower risk of microvascular complications among individuals with diabetes. These findings suggest substantial reduction in the burden of microvascular complications associated with adopting a healthy lifestyle among patients with type 2 diabetes.
Collapse
Affiliation(s)
- Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - An Pan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Siyu Chen
- Department of Endocrinology and Metabolism, Suzhou Dushu Lake Hospital (Dushu Lake Hospital Affiliated to Soochow University), Suzhou, Jiangsu, China
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Eric B. Rimm
- 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
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - JoAnn E. Manson
- Department of Epidemiology, 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
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Meir J. Stampfer
- 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
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Giorgio Giatsidis
- Department of Surgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
| | - Qi Sun
- 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
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts
- Joslin Diabetes Center, Boston, Massachusetts
| |
Collapse
|
16
|
Chen Z, Qian F, Hu Y, Voortman T, Li Y, Rimm EB, Sun Q. Dietary phytoestrogens and total and cause-specific mortality: results from 2 prospective cohort studies. Am J Clin Nutr 2023; 117:130-140. [PMID: 36789932 PMCID: PMC10196593 DOI: 10.1016/j.ajcnut.2022.10.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 10/14/2022] [Accepted: 10/28/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Evidence regarding dietary phytoestrogens in relation to mortality remains limited. OBJECTIVES The objective of the study is to examine the associations of intake of isoflavones, lignans, and coumarins with total and cause-specific mortality in US males and females. METHODS We followed 75,981 females in the Nurses' Health Study (1984-2018) and 44,001 males in the Health Professionals Follow-up Study (1986-2018), who were free of cardiovascular disease (CVD), diabetes, or cancer at baseline. Their diet was repeatedly assessed using validated food frequency questionnaires every 2-4 y. Associations with mortality were assessed using time-dependent Cox models with adjustments for demographics, dietary and lifestyle factors, and medical history. RESULTS During 3,427,156 person-years of follow-up, we documented 50,734 deaths, including 12,492 CVD deaths, 13,726 cancer deaths, and 24,516 other non-CVD and noncancer deaths. After multivariable adjustment, the higher total phytoestrogen intake was associated with lower risk of total CVD and other non-CVD and noncancer mortality: comparing extreme quintiles, the pooled HRs (95% CIs) were 0.89 (0.87, 0.92), 0.90 (0.85, 0.96), and 0.86 (0.82, 0.90), respectively. We did not find a significant association with cancer mortality [0.97 (0.92, 1.03)]. For individual phytoestrogens in relation to total mortality, the pooled HRs (95% CIs) comparing extreme quintiles were 0.90 (0.87, 0.92) for isoflavones, 0.93 (0.90, 0.96) for lignans, and 0.93 (0.90, 0.95) for coumarins. Individual phytoestrogens were also significantly associated with lower risk of CVD mortality and other types of mortality. Primary food sources of phytoestrogens, including tofu, soy milk, whole grains, tea, and flaxseed, were also inversely associated with total mortality. CONCLUSIONS A higher intake of total phytoestrogens, including isoflavones, lignans, and coumarins, and foods rich in these compounds was associated with lower risk of total and certain cause-specific mortality in generally healthy US adults. These data suggest that these phytochemicals and their dietary sources may be integrated into an overall healthy diet to achieve a longer life span.
Collapse
Affiliation(s)
- Zhangling Chen
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Yang Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands
| | - Yanping Li
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Eric B Rimm
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network 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
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network 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; Joslin Diabetes Center, Boston, Massachusetts, USA.
| |
Collapse
|
17
|
Yang J, Tobias DK, Li S, Bhupathiraju SN, Ley SH, Hinkle SN, Qian F, Chen Z, Zhu Y, Bao W, Chavarro JE, Hu FB, Zhang C. Habitual coffee consumption and subsequent risk of type 2 diabetes in individuals with a history of gestational diabetes - a prospective study. Am J Clin Nutr 2022; 116:1693-1703. [PMID: 36373514 PMCID: PMC9761754 DOI: 10.1093/ajcn/nqac241] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Accepted: 08/26/2022] [Indexed: 11/16/2022] Open
Abstract
BACKGROUND Females with a history of gestational diabetes mellitus (GDM) are at higher risk of developing type 2 diabetes mellitus (T2D) later in life. OBJECTIVE This study prospectively examined whether greater habitual coffee consumption was related to a lower risk of T2D among females with a history of GDM. METHODS We followed 4522 participants with a history of GDM in the NHS II for incident T2D between 1991 and 2017. Demographic, lifestyle factors including diet, and disease outcomes were updated every 2-4 y. Participants reported consumption of caffeinated and decaffeinated coffee on validated FFQs. Fasting blood samples were collected in 2012-2014 from a subset of participants free of diabetes to measure glucose metabolism biomarkers (HbA1c, insulin, C-peptide; n = 518). We used multivariable Cox regression models to calculate adjusted HRs and 95% CIs for the risk of T2D. We estimated the least squares mean of glucose metabolic biomarkers according to coffee consumption. RESULTS A total of 979 participants developed T2D. Caffeinated coffee consumption was inversely associated with the risk of T2D. Adjusted HR (95% CI) for ≤1 (nonzero), 2-3, and 4+ cups/d compared with 0 cup/d (reference) was 0.91 (0.78, 1.06), 0.83 (0.69, 1.01), and 0.46 (0.28, 0.76), respectively (P-trend = 0.004). Replacement of 1 serving/d of sugar-sweetened beverage and artificially sweetened beverage with 1 cup/d of caffeinated coffee was associated with a 17% (risk ratio [RR] = 0.83, 95% CI: 0.75, 0.93) and 9% (RR = 0.91, 95% CI: 0.84, 0.99) lower risk of T2D, respectively. Greater caffeinated coffee consumption was associated with lower fasting insulin and C-peptide concentrations (all P-trend <0.05). Decaffeinated coffee intake was not significantly related to T2D but was inversely associated with C-peptide concentrations (P-trend = 0.003). CONCLUSIONS Among predominantly Caucasian females with a history of GDM, greater consumption of caffeinated coffee was associated with a lower risk of T2D and a more favorable metabolic profile.
Collapse
Affiliation(s)
- Jiaxi Yang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Shanshan Li
- Department of Medicine, Boston University School of Medicine, Boston, MA, USA
| | | | - Sylvia H Ley
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Stefanie N Hinkle
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Zhangling Chen
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland, CA, USA
| | - Wei Bao
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Jorge E Chavarro
- Department of Epidemiology, 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
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Cuilin Zhang
- Global Center for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity & Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Rockville, MD, USA
| |
Collapse
|
18
|
Li Y, Jiang H, Qian F, Cheng Y, Zhang Y, Lu J, Lou Y, Han B, Zhang W. 81P Is PD-1 inhibitor based treatment better than chemotherapy for metastatic NSCLC patients with PD-L1≥50% who develop EGFR-TKI resistance? A real-world investigation. Immuno-Oncology and Technology 2022. [DOI: 10.1016/j.iotech.2022.100185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
|
19
|
Deng L, Li P, Zhang X, Jiang Q, Turner D, Zhou C, Gao Y, Qian F, Zhang C, Lu H, Zou H, Vermund SH, Qian HZ. Risk of SARS-CoV-2 reinfection: a systematic review and meta-analysis. Sci Rep 2022; 12:20763. [PMID: 36456577 PMCID: PMC9714387 DOI: 10.1038/s41598-022-24220-7] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Accepted: 11/11/2022] [Indexed: 12/02/2022] Open
Abstract
This meta-analysis aims to synthesize global evidence on the risk of reinfection among people previously infected with SARS-CoV-2. We systematically searched PubMed, Scopus, Embase and Web of Science as of April 5, 2021. We conducted: (1) meta-analysis of cohort studies containing data sufficient for calculating the incidence rate of SARS-CoV-2 reinfection; (2) systematic review of case reports with confirmed SARS-CoV-2 reinfection cases. The reinfection incidence was pooled by zero-inflated beta distribution. The hazard ratio (HR) between reinfection incidence among previously infected individuals and new infection incidence among infection-naïve individuals was calculated using random-effects models. Of 906 records retrieved and reviewed, 11 studies and 11 case reports were included in the meta-analysis and the systematic review, respectively. The pooled SARS-CoV-2 reinfection incidence rate was 0.70 (standard deviation [SD] 0.33) per 10,000 person-days. The incidence of reinfection was lower than the incidence of new infection (HR = 0.12, 95% confidence interval 0.09-0.17). Our meta-analysis of studies conducted prior to the emergency of the more transmissible Omicron variant showed that people with a prior SARS-CoV-2 infection could be re-infected, and they have a lower risk of infection than those without prior infection. Continuing reviews are needed as the reinfection risk may change due to the rapid evolution of SARS-CoV-2 variants.
Collapse
Affiliation(s)
- Luojia Deng
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Peiqi Li
- School of Acupuncture-Moxibustion and Tuina, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Xuezhixing Zhang
- Yale School of Public Health, Yale University, 300 George Street, New Haven, CT, USA
| | - Qianxue Jiang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | | | - Chao Zhou
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Yanxiao Gao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Ci Zhang
- Xiangya Nursing School, Central South University, Changsha, China
| | - Hui Lu
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
| | - Huachun Zou
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Sten H Vermund
- Yale School of Public Health, Yale University, 300 George Street, New Haven, CT, USA
| | - Han-Zhu Qian
- Yale School of Public Health, Yale University, 300 George Street, New Haven, CT, USA.
- GSK plc, Rockville, MD, USA.
| |
Collapse
|
20
|
Yang J, Qian F, Chavarro JE, Ley SH, Tobias DK, Yeung E, Hinkle SN, Bao W, Li M, Liu A, Mills JL, Sun Q, Willett WC, Hu FB, Zhang C. Modifiable risk factors and long term risk of type 2 diabetes among individuals with a history of gestational diabetes mellitus: prospective cohort study. BMJ 2022; 378:e070312. [PMID: 36130782 PMCID: PMC9490550 DOI: 10.1136/bmj-2022-070312] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To evaluate the individual and combined associations of five modifiable risk factors with risk of type 2 diabetes among women with a history of gestational diabetes mellitus and examine whether these associations differ by obesity and genetic predisposition to type 2 diabetes. DESIGN Prospective cohort study. SETTING Nurses' Health Study II, US. PARTICIPANTS 4275 women with a history of gestational diabetes mellitus, with repeated measurements of weight and lifestyle factors and followed up between 1991 and 2009. MAIN OUTCOME MEASURE Self-reported, clinically diagnosed type 2 diabetes. Five modifiable risk factors were assessed, including not being overweight or obese (body mass index <25.0), high quality diet (top two fifthsof the modified Alternate Healthy Eating Index), regular exercise (≥150 min/week of moderate intensity or ≥75 min/week of vigorous intensity), moderate alcohol consumption (5.0-14.9 g/day), and no current smoking. Genetic susceptibility for type 2 diabetes was characterised by a genetic risk score based on 59 single nucleotide polymorphisms associated with type 2 diabetes in a subset of participants (n=1372). RESULTS Over a median 27.9 years of follow-up, 924 women developed type 2 diabetes. Compared with participants who did not have optimal levels of any of the risk factors for the development of type 2 diabetes, those who had optimal levels of all five factors had >90% lower risk of the disorder. Hazard ratios of type 2 diabetes for those with one, two, three, four, and five optimal levels of modifiable factors compared with none was 0.94 (95% confidence interval 0.59 to 1.49), 0.61 (0.38 to 0.96), 0.32 (0.20 to 0.51), 0.15 (0.09 to 0.26), and 0.08 (0.03 to 0.23), respectively (Ptrend<0.001). The inverse association of the number of optimal modifiable factors with risk of type 2 diabetes was seen even in participants who were overweight/obese or with higher genetic susceptibility (Ptrend<0.001). Among women with body mass index ≥25 (n=2227), the hazard ratio for achieving optimal levels of all the other four risk factors was 0.40 (95% confidence interval 0.18 to 0.91). Among women with higher genetic susceptibility, the hazard ratio of developing type 2 diabetes for having four optimal factors was 0.11 (0.04 to 0.29); in the group with optimal levels of all five factors, no type 2 diabetes events were observed. CONCLUSIONS Among women with a history of gestational diabetes mellitus, each additional optimal modifiable factor was associated with an incrementally lower risk of type 2 diabetes. These associations were seen even among individuals who were overweight/obese or were at greater genetic susceptibility.
Collapse
Affiliation(s)
- Jiaxi Yang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Frank Qian
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Jorge E Chavarro
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvia H Ley
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Deirdre K Tobias
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Edwina Yeung
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - Stefanie N Hinkle
- Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wei Bao
- Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Mengying Li
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - Aiyi Liu
- Biostatistics & Bioinformatics Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - James L Mills
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| | - Qi Sun
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Walter C Willett
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Cuilin Zhang
- Global Centre for Asian Women's Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Epidemiology Branch, Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Rockville, MD, USA
| |
Collapse
|
21
|
Yan M, Li ZY, Lin X, Ye XS, Qian F, Shi Y, Zhao YL. [Effect of duodenal stump reinforcement on postoperative complications in patients undergoing laparoscopic radical gastrectomy]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:590-595. [PMID: 35844121 DOI: 10.3760/cma.j.cn441530-20210930-00392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Objective: To evaluate the influence of duodenal stump reinforcing on the short-term complications after laparoscopic radical gastrectomy. Methods: A retrospective cohort study with propensity score matching (PSM) was conducted. Clinical data of 1204 patients with gastric cancer who underwent laparoscopic radical gastrectomy at the First Affiliated Hospital of Army Medical University from April 2009 to December 2018 were collected. The digestive tract reconstruction methods included Billroth II anastomosis, Roux-en-Y anastomosis and un-cut-Roux- en-Y anastomosis. A linear stapler was used to transected the stomach and the duodenum. Among 1204 patients, 838 were males and 366 were females with mean age of (57.0±16.0) years. Duodenal stump was reinforced in 792 cases (reinforcement group) and unreinforced in 412 cases (non-reinforcement group). There were significant differences in resection range and anastomotic methods between the two groups (both P<0.001). The two groups were matched by propensity score according to the ratio of 1∶1, and the reinforcement group was further divided into purse string group and non-purse string group. The primary outcome was short-term postoperative complications (within one month after operation). Complications with Clavien-Dindo grade ≥ III a were defined as severe complications, and the morbidity of complication between the reinforcement group and the non-reinforcement group, as well as between the purse string group and the non-purse string group was compared. Results: After PSM, 411 pairs were included in the reinforcement group and the non-reinforcement group, and there were no significant differences in baseline data between the two groups (all P>0.05). No perioperative death occurred in any patient.The short-term morbidity of postoperative complication was 7.4% (61/822), including 14 cases of anastomotic leakage (23.0%), 11 cases of abdominal hemorrhage (18.0%), 8 cases of duodenal stump leakage (13.1%), 2 cases of incision dehiscence (3.3%), 6 cases of incision infection (9.8%) and 20 cases of abdominal infection (32.8%). Short-term postoperative complications were found in 25 patients (6.1%) and 36 patients (8.8%) in the reinforcement group and the non-reinforcement group, respectively, without significant difference (χ2=2.142, P=0.143). Nineteen patients (2.3%) developed short-term severe complications (Clavien-Dindo grade ≥IIIa), while no significant difference in severe complications was found between the two groups (1.7% vs. 2.9%, χ2=1.347, P=0.246). Sub-group analysis showed that the morbidity of short-term postoperative complication of the purse string group was 2.6% (9/345), which was lower than 24.2% (16/66) of the non-purse string group (χ2=45.388, P<0.001). Conclusion: Conventional reinforcement of duodenal stump does not significantly reduce the incidence of duodenal stump leakage, so it is necessary to choose whether to reinforce the duodenal stump individually, and purse string suture should be the first choice when decided to reinforce.
Collapse
Affiliation(s)
- M Yan
- Department of General Surgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
| | - Z Y Li
- Department of General Surgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
| | - X Lin
- Department of General Surgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
| | - X S Ye
- Department of General Surgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
| | - F Qian
- Department of General Surgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
| | - Y Shi
- Department of General Surgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
| | - Y L Zhao
- Department of General Surgery, the First Hospital Affiliated to Army Medical University, Chongqing 400038, China
| |
Collapse
|
22
|
Chen Z, Qian F, Hu Y, Voortman T, Li Y, Rimm E, Sun Q. Dietary Phytoestrogens and Total and Cause-Specific Mortality: Results From Two Prospective Cohort Studies. Curr Dev Nutr 2022. [PMCID: PMC9193782 DOI: 10.1093/cdn/nzac067.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Objectives Evidence regarding dietary phytoestrogens in relation to mortality remains limited and mixed. We aimed to examine associations of dietary intake of total and subclasses of phytoestrogens, specifically: isoflavones, lignans, and coumarins, with total and cause-specific mortality in US men and women. Methods We prospectively followed 75,981 women in the Nurses’ Health Study (1984–2018), and 44,001 men in the Health Professionals Follow-up Study (1986–2018), who were free of cardiovascular disease (CVD), diabetes, or cancer at baseline. Diet was repeatedly assessed using validated food frequency questionnaires every 2–4 years. Associations with total and cause-specific mortality (CVD, cancer, and other) were assessed using time-dependent Cox models with adjustments for demographics, dietary and lifestyle factors, and medical history. Results During 3,427,156 person-years of follow-up, we documented 50,734 deaths, including 12,492 CVD deaths, 13,726 cancer deaths, and 24,516 other deaths. In multivariable-adjusted analyses, higher total phytoestrogen intake was associated with lower total, CVD, and other mortality: comparing extreme quintiles, the pooled HRs (95%CIs) were 0.89 (0.87, 0.92) for total mortality, 0.90 (0.85, 0.96) for CVD mortality, and 0.86 (0.82, 0.90) for other mortality. Furthermore, isoflavones, lignans, and coumarins were all inversely associated with mortality. Specifically, for total mortality, comparing extreme quintiles, the pooled HRs (95%CIs) were 0.90 (0.87, 0.92) for total isoflavones, 0.93 (0.90, 0.96) for total lignans, and 0.93 (0.90, 0.95) for coumarins. These phytoestrogens were also significantly associated with lower CVD mortality or other mortality, although only coumarins were significantly associated with lower cancer mortality. Primary food sources of phytoestrogens, such as tofu, soymilk, whole grains, tea, flaxseed, and flaxseed oil, were inversely associated with total mortality. Conclusions Higher intake of total phytoestrogens, including isoflavones, lignans, and coumarins as well as foods rich in these compounds were associated with lower total and certain cause-specific mortality in generally healthy U.S. adults. These data suggest that these phytochemicals and their dietary sources may be integrated into an overall healthy diet to achieve a longer life span. Funding Sources NIH.
Collapse
Affiliation(s)
| | - Frank Qian
- Harvard T.H. Chan School of Public Health
| | - Yang Hu
- Harvard T.H. Chan School of Public Health
| | | | - Yanping Li
- Harvard T.H. Chan School of Public Health
| | - Eric Rimm
- Harvard T.H. Chan School of Public Health
| | - Qi Sun
- Harvard T.H. Chan School of Public Health
| |
Collapse
|
23
|
Li H, Zuo Y, Qian F, Chen S, Tian X, Wang P, Li X, Guo X, Wu S, Wang A. Triglyceride-glucose index variability and incident cardiovascular disease: a prospective cohort study. Cardiovasc Diabetol 2022; 21:105. [PMID: 35689232 PMCID: PMC9188105 DOI: 10.1186/s12933-022-01541-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 16.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 05/30/2022] [Indexed: 11/22/2022] Open
Abstract
Background Recent studies have suggested that triglyceride-glucose (TyG) index is an independent predictor of cardiovascular disease (CVD). However, the impact of long-term visit-to-visit variability in TyG index on the risk of CVD is not known. We aimed to investigate the longitudinal association between baseline and mean TyG index as well as TyG index variability and incident CVD in a Chinese population. Methods We included 49,579 participants without previous history of CVD in the Kailuan study who underwent three health examinations (2006, 2008, and 2010) and were followed up for clinical events until 2019. TyG index was calculated as Ln [fasting triglyceride (mg/dL) × fasting glucose (mg/dL)/2]. We measured TyG index variability as the SD of the residuals obtained from a linear regression on the three TyG index measurements for each individual. Multivariate-adjusted Cox models were used to estimate the adjusted hazard ratio (aHR) and 95% confidence interval (CI) with incident CVD. Results During a median follow-up time of 9.0 years, 2404 developed CVD. The highest tertile (T3) of baseline and mean TyG index were each associated with higher CVD incidence as compared with the lowest tertile (T1): aHR, 1.25; 95% CI 1.11–1.42; and aHR 1.40; 95% CI 1.24–1.58, respectively. Tertile 3 of TyG index variability was associated with increased CVD incidence compared to T1 group (aHR, 1.12; 95% CI 1.01–1.24). Similar findings were observed in a series of sensitivity analyses. Conclusion Higher TyG index level and greater TyGindex variability were each independently associated with a higher incidence of CVD. Supplementary Information The online version contains supplementary material available at 10.1186/s12933-022-01541-5.
Collapse
Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Capital Medical University, Beijing, China
| | - Yingting Zuo
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China
| | - Xue Tian
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Penglian Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Melbourne, VIC, Australia
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital, North China University of Science and Technology, Tangshan, China.
| | - Anxin Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China. .,China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
| |
Collapse
|
24
|
Lai HTM, Imamura F, Korat AVA, Murphy RA, Tintle N, Bassett JK, Chen J, Kröger J, Chien KL, Senn M, Wood AC, Forouhi NG, Schulze MB, Harris WS, Vasan RS, Hu F, Giles GG, Hodge A, Djousse L, Brouwer IA, Qian F, Sun Q, Wu JHY, Marklund M, Lemaitre RN, Siscovick DS, Fretts AM, Shadyab AH, Manson JE, Howard BV, Robinson JG, Wallace RB, Wareham NJ, Chen YDI, Rotter JI, Tsai MY, Micha R, Mozaffarian D. Trans Fatty Acid Biomarkers and Incident Type 2 Diabetes: Pooled Analysis of 12 Prospective Cohort Studies in the Fatty Acids and Outcomes Research Consortium (FORCE). Diabetes Care 2022; 45:854-863. [PMID: 35142845 PMCID: PMC9114723 DOI: 10.2337/dc21-1756] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 01/10/2022] [Indexed: 02/03/2023]
Abstract
OBJECTIVE Trans fatty acids (TFAs) have harmful biologic effects that could increase the risk of type 2 diabetes (T2D), but evidence remains uncertain. We aimed to investigate the prospective associations of TFA biomarkers and T2D by conducting an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS We included data from an international consortium of 12 prospective cohorts and nested case-control studies from six nations. TFA biomarkers were measured in blood collected between 1990 and 2008 from 25,126 participants aged ≥18 years without prevalent diabetes. Each cohort conducted de novo harmonized analyses using a prespecified protocol, and findings were pooled using inverse-variance weighted meta-analysis. Heterogeneity was explored by prespecified between-study and within-study characteristics. RESULTS During a mean follow-up of 13.5 years, 2,843 cases of incident T2D were identified. In multivariable-adjusted pooled analyses, no significant associations with T2D were identified for trans/trans-18:2, relative risk (RR) 1.09 (95% CI 0.94-1.25); cis/trans-18:2, 0.89 (0.73-1.07); and trans/cis-18:2, 0.87 (0.73-1.03). Trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated with T2D (RR 0.81 [95% CI 0.67-0.99], 0.86 [0.75-0.99], and 0.84 [0.74-0.96], respectively). Findings were not significantly different according to prespecified sources of potential heterogeneity (each P ≥ 0.1). CONCLUSIONS Circulating individual trans-18:2 TFA biomarkers were not associated with risk of T2D, while trans-16:1n-9, total trans-18:1, and total trans-18:2 were inversely associated. Findings may reflect the influence of mixed TFA sources (industrial vs. natural ruminant), a general decline in TFA exposure due to policy changes during this period, or the relatively limited range of TFA levels.
Collapse
Affiliation(s)
- Heidi T M Lai
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,Department of Primary Care and Public Health, Imperial College London, London, U.K
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Andres V Ardisson Korat
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Rachel A Murphy
- School of Population & Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt University, Sioux Center, IA.,Fatty Acid Research Institute, Sioux Falls, SD
| | - Julie K Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Jiaying Chen
- Division of Aging, Brigham and Women's Hospital, Boston, MA
| | - Janine Kröger
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei City, Republic of China
| | - Mackenzie Senn
- U.S. Department of Agriculture/Agriculture Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Alexis C Wood
- U.S. Department of Agriculture/Agriculture Research Service Children's Nutrition Research Center, Department of Pediatrics, Baylor College of Medicine, Houston, TX
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Matthias B Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.,German Center for Diabetes Research (DZD), Neuherberg, Germany.,Institute of Nutritional Science, University of Potsdam, Nuthetal, Germany
| | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, SD.,Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
| | - Ramachandran S Vasan
- Boston University School of Medicine, Boston, MA.,The Framingham Heart Study, Framingham, MA
| | - Frank Hu
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Parkville, Victoria, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Allison Hodge
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Victoria, Australia
| | - Luc Djousse
- Divisions of Aging, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ingeborg A Brouwer
- Department of Health Sciences, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam Public Health Research Institute, Amsterdam, the Netherlands
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Qi Sun
- Department of Nutrition and Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Jason H Y Wu
- The George Institute for Global Health, the Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Matti Marklund
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,The George Institute for Global Health, the Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.,Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | | | - Amanda M Fretts
- Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Aladdin H Shadyab
- Family Medicine and Public Health, School of Medicine, University of California, San Diego, La Jolla, CA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Barbara V Howard
- Georgetown University Medical Center, Georgetown University, Hyattsville, MD
| | | | | | - Nick J Wareham
- MRC Epidemiology Unit, University of Cambridge, Cambridge, U.K
| | - Yii-Der Ida Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA
| | - Michael Y Tsai
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN
| | - Renata Micha
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | | |
Collapse
|
25
|
Lynch H, Qian F, Wong MD, Thomas RJ, Kapur N. Lung parenchymal calcifications in a child with cystic fibrosis. Respirol Case Rep 2022; 10:e0941. [PMID: 35386578 PMCID: PMC8968259 DOI: 10.1002/rcr2.941] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/15/2022] [Accepted: 03/18/2022] [Indexed: 11/15/2022] Open
Abstract
We describe a 6‐year‐old girl with homozygous p.Phe508del cystic fibrosis with severe multi‐lobar bronchiectasis and obstructive lung disease who was found to have prominent parenchymal calcifications in the right middle lobe on a computed tomography scan of the chest. Histopathology from the calcified area of lung biopsy showed fibrous tissue with chronic inflammation with CD3+ T‐lymphocytes and macrophages with no granulomas. Dystrophic calcification was seen within this necrotic debris.
Collapse
Affiliation(s)
- Heidi Lynch
- Department of Pediatric Respiratory and Sleep Medicine Queensland Children's Hospital South Brisbane Queensland Australia
| | - Frank Qian
- Department of Pediatric Respiratory and Sleep Medicine Queensland Children's Hospital South Brisbane Queensland Australia
| | - Matthew D. Wong
- Department of Pediatric Respiratory and Sleep Medicine Queensland Children's Hospital South Brisbane Queensland Australia
- Child Health Research Centre University of Queensland South Brisbane Queensland Australia
- Children's Health Queensland Clinical Unit, Faculty of Medicine University of Queensland South Brisbane Queensland Australia
| | - Rahul J. Thomas
- Department of Pediatric Respiratory and Sleep Medicine Queensland Children's Hospital South Brisbane Queensland Australia
- Child Health Research Centre University of Queensland South Brisbane Queensland Australia
- Children's Health Queensland Clinical Unit, Faculty of Medicine University of Queensland South Brisbane Queensland Australia
| | - Nitin Kapur
- Department of Pediatric Respiratory and Sleep Medicine Queensland Children's Hospital South Brisbane Queensland Australia
- Child Health Research Centre University of Queensland South Brisbane Queensland Australia
- Children's Health Queensland Clinical Unit, Faculty of Medicine University of Queensland South Brisbane Queensland Australia
| |
Collapse
|
26
|
Ye XS, Lin X, Liu JJ, Shi Y, Qian F, Yu PW, Zhao YL. [Comparison of clinical efficacy and quality of life between uncut Roux-en-Y and Billroth II with Braun anastomosis in laparoscopic distal gastrectomy for gastric cancer]. Zhonghua Wei Chang Wai Ke Za Zhi 2022; 25:166-172. [PMID: 35176829 DOI: 10.3760/cma.j.cn441530-20210702-00257] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Objective: To compare the clinical efficacy and quality of life between uncut Roux-en-Y and Billroth II with Braun anastomosis in laparoscopic distal gastrectomy for gastric cancer patients. Methods: A retrospective cohort study was performed. Inclusion criteria: (1) 18 to 75 years old; (2) gastric cancer proved by preoperative gastroscopy, CT and pathological results and tumor was suitable for D2 radical distal gastrectomy; (3) postoperative pathological diagnosis stage was T1-4aN0-3M0 (according to the AJCC-7th TNM tumor stage), and the margin was negative; (4) Eastern Cooperative Oncology Group (ECOG) physical status score <2 points, and American Association of Anesthesiologists (ASA) grade 1 to 3; (5) no mental illness; (6) able to answer questionnaires independently; (7) patients agreed to undergo laparoscopic distal gastrectomy and signed an informed consent. Exclusion criteria: (1) patients with severe chronic diseases and American Association of Anesthesiologists (ASA) grade >3; (2) patients with other malignant tumors; (3) patients suffered from serious mental diseases; (4) patients received neoadjuvant chemotherapy or immunotherapy. According to the above criteria, clinical data of 200 patients who underwent laparoscopic distal gastrectomy at the Department of General Surgery of the First Affiliated Hospital of Army Medical University from January 2016 to December 2019 were collected. Of the 200 patients, 108 underwent uncut Roux-en-Y anastomosis and 92 underwent Billroth II with Braun anastomosis. The general data, intraoperative and postoperative conditions, complications, and endoscopic evaluation 1 year after the surgery were compared. Besides, the quality of life of two groups was also compared using the Chinese version of the European Organization For Research and Treatment of Cancer (EORTC) quality of life questionnaire-Core 30 (QLQ-C30) and quality of life questionnaire-stomach 22 (QLQ-STO22). Results: There were no significant differences in baseline data between the two groups (all P>0.05). All the 200 patients successfully underwent laparoscopic distal gastrectomy without intraoperative complications, conversion to open surgery or perioperative death. There were no significant differences between two groups in operative time, intraoperative blood loss, postoperative complications, time to flatus, time to removal of gastric tube, time to liquid diet, time to removal of drainage tube or length of postoperative hospital stay (all P>0.05). Endoscopic evaluation was conducted 1 year after surgery. Compared to Billroth II with Braun group, the uncut Roux-en-Y group had a significantly lower incidences of gastric stasis [19.8% (17/86) vs. 37.0% (27/73), χ(2)=11.199, P=0.024], gastritis [11.6% (10/86) vs. 34.2% (25/73), χ(2)=20.892, P<0.001] and bile reflux [1.2% (1/86) vs. 28.8% (21/73), χ(2)=25.237, P<0.001], and the differences were statistically significant. The EORTC questionnaire was performed 1 year after surgery, there were no significant differences in the scores of QLQ-C30 scale between the two groups (all P>0.05), while the scores of QLQ-STO22 showed that, compared to the Billroth II with Braun group, the uncut Roux-en-Y group had a lower pain score (median: 8.3 vs. 16.7, Z=-2.342, P=0.019) and reflux score (median: 0 vs 5.6, Z=-2.284, P=0.022), and the differences were statistically significant (all P<0.05), indicating milder symptoms. Conclusion: The uncut Roux-en-Y anastomosis is safe and reliable in laparoscopic distal gastrectomy, which can reduce the incidences of gastric stasis, gastritis and bile reflux, and improve the quality of life of patients after surgery.
Collapse
Affiliation(s)
- X S Ye
- Department of General Surgery, The First Affiliated Hospital, The Army Medical University, Chongqing 400038, China
| | - X Lin
- Department of General Surgery, The First Affiliated Hospital, The Army Medical University, Chongqing 400038, China
| | - J J Liu
- Department of General Surgery, The First Affiliated Hospital, The Army Medical University, Chongqing 400038, China
| | - Y Shi
- Department of General Surgery, The First Affiliated Hospital, The Army Medical University, Chongqing 400038, China
| | - F Qian
- Department of General Surgery, The First Affiliated Hospital, The Army Medical University, Chongqing 400038, China
| | - P W Yu
- Department of General Surgery, The First Affiliated Hospital, The Army Medical University, Chongqing 400038, China
| | - Y L Zhao
- Department of General Surgery, The First Affiliated Hospital, The Army Medical University, Chongqing 400038, China
| |
Collapse
|
27
|
Li H, Qian F, Zuo Y, Yuan J, Chen S, Wu S, Wang A. U-Shaped Relationship of High-Density Lipoprotein Cholesterol and Incidence of Total, Ischemic and Hemorrhagic Stroke: A Prospective Cohort Study. Stroke 2022; 53:1624-1632. [PMID: 35086360 DOI: 10.1161/strokeaha.121.034393] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
BACKGROUND We aimed to investigate the association between serially measured HDL-C (high-density lipoprotein cholesterol) levels and stroke risk in a prospective cohort study. METHODS We included 96 258 individuals (79.6% men, mean age 51.5 years) without a history of stroke, myocardial infarction, or cancer at baseline from the Kailuan Study, with repeated measurements of HDL-C in 2006, 2008, 2010, 2012, 2014, and 2016. Cumulatively, averaged HDL-C concentrations were calculated using all available HDL-C measurements before incidence stroke or end of follow-up (December 31, 2017). Incident stroke cases were confirmed by review of medical records and further subclassified into ischemic or hemorrhagic stroke. Cox proportional hazards regression and restricted cubic splines were used to examine these associations. RESULTS During a median follow-up of 10.7 years, 5012 incident stroke cases occurred. Restricted cubic splines analysis suggested a U-shaped association between concentrations of cumulatively averaged HDL-C and risk of stroke (Pnonlinearity <0.001), with the nadir of risk at 1.29 mmol/L. After adjustment for cardiovascular risk factors, individuals with cumulatively averaged HDL-C ≤1.06 mmol/L or ≥2.05 mmol/L had hazard ratios for total stroke of 1.31 (95% CI, 1.15-1.49) and 1.85 (1.63-2.09) compared with those with HDL-C of 1.26 to 1.39 mmol/L. Corresponding hazard ratios were 1.29 (1.11-1.48) and 1.84 (1.60-2.11) for ischemic stroke and 1.54 (1.12-2.12) and 2.29 (1.73-3.04) for hemorrhagic stroke, respectively. CONCLUSIONS Both low and high cumulatively averaged HDL-C were associated with an increased risk of ischemic and hemorrhagic strokes.
Collapse
Affiliation(s)
- Haibin Li
- Department of Cardiac Surgery, Heart Center & Beijing Key Laboratory of Hypertension, Beijing Chaoyang Hospital, Capital Medical University, China (H.L.).,Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, China (H.L.).,Beijing Laboratory for Cardiovascular Precision Medicine, China (H.L.)
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA (F.Q.)
| | - Yingting Zuo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China (Y.Z.)
| | - Jinhuan Yuan
- Department of Epidemiology and Health Statistics, School of Public Health (J.Y.), North China University of Science and Technology, Tangshan, China
| | - Shuohua Chen
- Department of Cardiology, Kailuan Hospital (S.C., S.W.), North China University of Science and Technology, Tangshan, China
| | - Shouling Wu
- Department of Cardiology, Kailuan Hospital (S.C., S.W.), North China University of Science and Technology, Tangshan, China
| | - Anxin Wang
- China National Clinical Research Center for Neurological Diseases (A.W.), Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
28
|
Abstract
BACKGROUND Previous meta-analyses did not explore the immediate and long-term effect of non-invasive brain stimulation (NIBS) on different cognitive domains in Alzheimer's disease (AD). The meta-analysis aimed to assess the therapy effect of repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) on different cognitive domains in AD in randomized controlled trials (RCTs). METHODS Studies published before December 2021 and exploring therapy effect of rTMS, tDCS on different cognitive domains in AD were searched in the following databases: PubMed and Web of Science. We used STATA 12.0 software to compute the standard mean difference (SMD) and a 95% confidence interval (CI). RESULTS The present study included 16 articles (including 372 AD patients treated with rTMS and 310 treated with sham rTMS) for rTMS and 11 articles (including 152 AD patients treated with tDCS and 134 treated with sham tDCS) for tDCS. The present study showed better immediate and long-term general cognitive function increase effects in AD given rTMS, compared to those given sham rTMS with random effects models (immediate effect: SMD = 2.07, 95% CI = 0.37 to 3.77, I2 = 97.8%, p < 0.001; long-term effect: SMD = 5.04, 95% CI = 2.25 to 7.84, I2 = 97.8%, p < 0.001). The present study showed no significant immediate and long-term effects of rTMS on attention, executive, language and memory functions. In addition, the present study showed no significant difference in immediate or long-term effects of tDCS on general cognitive function, attention, language or memory functions between tDCS group and sham tDCS group. CONCLUSIONS RTMS was an effective treatment technique for general cognitive function in AD, whereas tDCS showed no significant therapy effect on cognitive function in AD. More large-scale studies were essential to explore the effect of NIBS on various cognitive function in AD.
Collapse
Affiliation(s)
- L Gu
- Lihua Gu, PhD, Department of Neurology, Affiliated ZhongDa Hospital, Medical School, Southeast University, No. 87 Dingjiaqiao Road, Nanjing, Jiangsu, China, 210009, Tel: 0086-25-83262241, Fax: 0086-25-83285132, E-mail:
| | | | | |
Collapse
|
29
|
Chen Z, Qian F, Liu G, Li M, Voortman T, Tobias DK, Ley SH, Bhupathiraju SN, Li LJ, Chavarro JE, Sun Q, Hu FB, Zhang C. Prepregnancy plant-based diets and the risk of gestational diabetes mellitus: a prospective cohort study of 14,926 women. Am J Clin Nutr 2021; 114:1997-2005. [PMID: 34510175 PMCID: PMC8634573 DOI: 10.1093/ajcn/nqab275] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 08/04/2021] [Indexed: 01/08/2023] Open
Abstract
BACKGROUND Emerging evidence suggests beneficial impacts of plant-based diets on glucose metabolism among generally healthy individuals. Whether adherence to these diets is related to risk of gestational diabetes mellitus (GDM) is unknown. OBJECTIVES We aimed to examine associations between plant-based diets and GDM in a large prospective study. METHODS We included 14,926 women from the Nurses' Health Study II (1991-2001), who reported ≥1 singleton pregnancy and without previous GDM before the index pregnancy. Prepregnancy adherence to plant-based diets was measured by an overall plant-based diet index (PDI), healthful plant-based diet index (hPDI), and unhealthful plant-based diet index (uPDI) as assessed by FFQs every 4 y. Incident first-time GDM was ascertained from a self-reported physician diagnosis, which was previously validated by review of medical records. We used log-binomial models with generalized estimating equations to calculate RRs and 95% CIs for associations of PDIs with GDM. RESULTS We documented 846 incident GDM cases over the 10-y follow-up among 20,707 pregnancies. Greater adherence to the PDI and hPDI was associated with lower GDM risk. For the PDI, the multivariable-adjusted RR (95% CI) comparing the highest and lowest quintiles (Q5 compared with Q1) was 0.70 (0.56, 0.87) (Ptrend = 0.0004), and for each 10-point increment was 0.80 (0.71, 0.90). For the hPDI, the RR (95% CI) of Q5 compared with Q1 was 0.75 (0.59, 0.94) (Ptrend = 0.009) and for each 10-point increment was 0.86 (0.77, 0.95). After further adjustment for prepregnancy BMI, the associations were attenuated but remained significant: for the PDI, the RR (95% CI) for each 10-point increment was 0.89 (0.79, 1.00) and the corresponding RR (95% CI) was 0.89 (0.80, 0.99) for the hPDI. The uPDI was not associated with GDM. CONCLUSIONS Our study suggests that greater prepregnancy adherence to a healthful plant-based diet was associated with lower risk of GDM, whereas an unhealthful plant-based diet was not related to GDM risk.
Collapse
Affiliation(s)
- Zhangling Chen
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Frank Qian
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Gang Liu
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengying Li
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, USA
| | - Trudy Voortman
- Department of Epidemiology, Erasmus Medical Center, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Deirdre K Tobias
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Division of Preventive Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Sylvia H Ley
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA
| | - Shilpa N Bhupathiraju
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Ling-Jun Li
- Department of Obstetrics and Gynecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jorge E Chavarro
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Qi Sun
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Frank B Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, MA, USA
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, NIH, Bethesda, MD, USA
| |
Collapse
|
30
|
Duazo C, Hsiung JC, Qian F, Sherrod CF, Ling DA, Wu IJ, Hsu WT, Liu Y, Wei C, Tehrani B, Hsu TC, Lee CC. In-hospital Cardiac Arrest in Patients With Sepsis: A National Cohort Study. Front Med (Lausanne) 2021; 8:731266. [PMID: 34722572 PMCID: PMC8553946 DOI: 10.3389/fmed.2021.731266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 09/08/2021] [Indexed: 11/15/2022] Open
Abstract
Background: Little is known about the risk of in-hospital cardiac arrest (IHCA) among patients with sepsis. We aimed to characterize the incidence and outcome of IHCA among patients with sepsis in a national database. We then determined the major risk factors associated with IHCA among sepsis patients. Methods: We used data from a population-based cohort study based on the National Health Insurance Research Database of Taiwan (NHRID) between 2000 and 2013. We used Martin's implementation that combined the explicit ICD-9 CM codes for sepsis and six major organ dysfunction categories. IHCA among sepsis patients was identified by the presence of cardiopulmonary resuscitation procedures. The survival impact was analyzed with the Cox proportional-hazards model using inverse probability of treatment weighting (IPTW). The risk factors were identified by logistic regression models with 10-fold cross-validation, adjusting for competing risks. Results: We identified a total of 20,022 patients with sepsis, among whom 2,168 developed in-hospital cardiac arrest. Sepsis patients with a higher burden of comorbidities and organ dysfunction were more likely to develop in-hospital cardiac arrest. Acute respiratory failure, hematological dysfunction, renal dysfunction, and hepatic dysfunction were associated with increased risk of IHCA. Regarding the source of infection, patients with respiratory tract infections were at the highest risk, whereas patients with urinary tract infections and primary bacteremia were less likely to develop IHCA. The risk of IHCA correlated well with age and revised cardiac risk index (RCRI). The final competing risk model concluded that acute respiratory failure, male gender, and diabetes are the three strongest predictors for IHCA. The effect of IHCA on survival can last 1 year after hospital discharge, with an IPTW-weighted hazard ratio of 5.19 (95% CI: 5.06, 5.35) compared to patients who did not develop IHCA. Conclusion: IHCA in sepsis patients had a negative effect on both short- and long-term survival. The risk of IHCA among hospitalized sepsis patients was strongly correlated with age and cardiac risk index. The three identified risk factors can help clinicians to identify patients at higher risk for IHCA.
Collapse
Affiliation(s)
- Catherine Duazo
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Jo-Ching Hsiung
- Department of Medicine, National Taiwan University, Taipei, Taiwan
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, United States
| | - Charles Fox Sherrod
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Dean-An Ling
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - I-Ju Wu
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Wan-Ting Hsu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States
| | - Ye Liu
- Department of Health Care Organization and Policy, University of Alabama at Birmingham, School of Public Health, Birmingham, AL, United States
| | - Chen Wei
- Department of Medicine, Harvard Medical School, Boston, MA, United States.,Department of Internal Medicine, Stanford Health Care, Stanford, CA, United States
| | - Babak Tehrani
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, United States
| | - Tzu-Chun Hsu
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Center of Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan.,Byers Center for Biodesign, Stanford University, Stanford, CA, United States
| |
Collapse
|
31
|
Trieu K, Bhat S, Dai Z, Leander K, Gigante B, Qian F, Korat AVA, Sun Q, Pan XF, Laguzzi F, Cederholm T, de Faire U, Hellénius ML, Wu JHY, Risérus U, Marklund M. Biomarkers of dairy fat intake, incident cardiovascular disease, and all-cause mortality: A cohort study, systematic review, and meta-analysis. PLoS Med 2021; 18:e1003763. [PMID: 34547017 PMCID: PMC8454979 DOI: 10.1371/journal.pmed.1003763] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Accepted: 08/11/2021] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND We aimed to investigate the association of serum pentadecanoic acid (15:0), a biomarker of dairy fat intake, with incident cardiovascular disease (CVD) and all-cause mortality in a Swedish cohort study. We also systematically reviewed studies of the association of dairy fat biomarkers (circulating or adipose tissue levels of 15:0, heptadecanoic acid [17:0], and trans-palmitoleic acid [t16:1n-7]) with CVD outcomes or all-cause mortality. METHODS AND FINDINGS We measured 15:0 in serum cholesterol esters at baseline in 4,150 Swedish adults (51% female, median age 60.5 years). During a median follow-up of 16.6 years, 578 incident CVD events and 676 deaths were identified using Swedish registers. In multivariable-adjusted models, higher 15:0 was associated with lower incident CVD risk in a linear dose-response manner (hazard ratio 0.75 per interquintile range; 95% confidence interval 0.61, 0.93, P = 0.009) and nonlinearly with all-cause mortality (P for nonlinearity = 0.03), with a nadir of mortality risk around median 15:0. In meta-analyses including our Swedish cohort and 17 cohort, case-cohort, or nested case-control studies, higher 15:0 and 17:0 but not t16:1n-7 were inversely associated with total CVD, with the relative risk of highest versus lowest tertile being 0.88 (0.78, 0.99), 0.86 (0.79, 0.93), and 1.01 (0.91, 1.12), respectively. Dairy fat biomarkers were not associated with all-cause mortality in meta-analyses, although there were ≤3 studies for each biomarker. Study limitations include the inability of the biomarkers to distinguish different types of dairy foods and that most studies in the meta-analyses (including our novel cohort study) only assessed biomarkers at baseline, which may increase the risk of misclassification of exposure levels. CONCLUSIONS In a meta-analysis of 18 observational studies including our new cohort study, higher levels of 15:0 and 17:0 were associated with lower CVD risk. Our findings support the need for clinical and experimental studies to elucidate the causality of these relationships and relevant biological mechanisms.
Collapse
Affiliation(s)
- Kathy Trieu
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Saiuj Bhat
- School of Medicine, The University of Western Australia, Crawley, Australia
| | - Zhaoli Dai
- Centre for Health Systems and Safety Research, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, Australia
- Sydney Pharmacy School and the Charles Perkins Centre, Faculty of Medicine and Health Sciences, University of Sydney, Sydney, Australia
| | - Karin Leander
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Bruna Gigante
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, United States of America
| | - Andres V. Ardisson Korat
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Qi Sun
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, United States of America
| | - Xiong-Fei Pan
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Federica Laguzzi
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Tommy Cederholm
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Ulf de Faire
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Mai-Lis Hellénius
- Unit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Jason H. Y. Wu
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Ulf Risérus
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
| | - Matti Marklund
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, Australia
- Department of Public Health and Caring Sciences, Clinical Nutrition and Metabolism, Uppsala University, Uppsala, Sweden
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
- * E-mail:
| |
Collapse
|
32
|
Han B, Yang Z, Wang Y, Chen Y, Qian F, Zhang Y, Hu M, Zhang W. 1163P Combined large cell neuroendocrine carcinoma: Clinical characteristics, prognosis and postoperative management. Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.1766] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
|
33
|
Hinkle SN, Bao W, Wu J, Sun Y, Ley SH, Tobias DK, Qian F, Rawal S, Zhu Y, Chavarro JE, Hu FB, Zhang C. Association of Habitual Alcohol Consumption With Long-term Risk of Type 2 Diabetes Among Women With a History of Gestational Diabetes. JAMA Netw Open 2021; 4:e2124669. [PMID: 34499132 PMCID: PMC8430455 DOI: 10.1001/jamanetworkopen.2021.24669] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
IMPORTANCE Women with gestational diabetes are at high risk for type 2 diabetes. Identifying modifiable dietary and lifestyle factors, such as alcohol intake, that can be useful in delaying or preventing progression to overt type 2 diabetes is of particular interest. OBJECTIVE To evaluate the association between alcohol consumption and risk for type 2 diabetes among women with a history of gestational diabetes. DESIGN, SETTING, AND PARTICIPANTS This cohort study included women from the Nurses' Health Study II cohort who reported a history of gestational diabetes and were followed up from January 1, 1991, to December 31, 2017, as part of the Diabetes & Women's Health Study. Data analysis was performed from 2020 to 2021. EXPOSURES Dietary intakes, including alcohol, were assessed every 4 years using validated food-frequency questionnaires. MAIN OUTCOMES AND MEASURES Multivariable Cox proportional hazards regression models were used to estimate hazard ratios (HRs) and 95% CIs for the association of alcohol intake with risk for incident type 2 diabetes after a pregnancy during which gestational diabetes was diagnosed. RESULTS A total of 4740 women were included in the study; the mean (SD) age at baseline was 38.2 (5.0) years, and the median follow-up time was 24 years (interquartile range, 18-28 years), resulting in 78 328 person-years of follow-up. During this period, 897 incident cases of type 2 diabetes were reported. After adjustment for major dietary and lifestyle factors, compared with women who did not consume any alcohol, only alcohol consumption of 5.0 to 14.9 g/d was associated with decreased risk for incident type 2 diabetes (HR, 0.45; 95% CI, 0.33-0.61); there was no association of alcohol consumption of 0.1 to 4.9 g/d or 15.0 g/d or more (maximum, 74.2 g/d) with risk of type 2 diabetes (0.1 to 4.9 g/d: HR, 0.87 [95% CI, 0.73-1.03]; ≥15.0 g/d: HR, 0.62 [95% CI, 0.37-1.04]). After additional adjustment for body mass index, women who reported alcohol consumption of 5.0 to 14.9 g/d had a 41% lower risk for developing incident type 2 diabetes (HR, 0.59; 95% CI, 0.42-0.81); consumption of 0.1 to 4.9 g/d and consumption of 15.0 g/d or more were still not associated with risk of type 2 diabetes, but the results were attenuated (0.1-4.9 g/d: HR, 1.02 [95% CI, 0.85-1.23]; ≥15.0 g/d: HR, 0.75 [95% CI, 0.42-1.33]). CONCLUSIONS AND RELEVANCE In this cohort study, among women with a history of gestational diabetes, usual alcohol intake of 5.0 to 14.9 g/d (approximately 0.5-1 drinks per day) was associated with a lower risk for type 2 diabetes. These findings should be interpreted in the context of other known risks and benefits of alcohol consumption when considering clinical recommendations for individual women with a history of gestational diabetes.
Collapse
Affiliation(s)
- Stefanie N. Hinkle
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| | - Wei Bao
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City
| | - Jing Wu
- Glotech Inc, Rockville, Maryland
| | - Yangbo Sun
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City
- Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis
| | - Sylvia H. Ley
- Department of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana
| | - Deirdre K. Tobias
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, Massachusetts
| | - Frank Qian
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, Massachusetts
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts
| | - Shristi Rawal
- Department of Clinical and Preventive Nutrition Sciences, School of Health Professions, Rutgers University, Newark, New Jersey
| | - Yeyi Zhu
- Division of Research, Kaiser Permanente Northern California, Oakland
| | - Jorge E. Chavarro
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Frank B. Hu
- Department of Nutrition, Harvard TH Chan School of Public Health, Boston, Massachusetts
- Department of Epidemiology, Harvard TH Chan School of Public Health, Boston, Massachusetts
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Cuilin Zhang
- Epidemiology Branch, Division of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland
| |
Collapse
|
34
|
Xu L, Qian F, Sun L. [Dibenzyl trisulfide inhibits proliferation and induces apoptosis of HN30 cells via Akt/ p53 signaling pathway]. Nan Fang Yi Ke Da Xue Xue Bao 2021; 41:847-853. [PMID: 34238736 DOI: 10.12122/j.issn.1673-4254.2021.06.06] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
OBJECTIVE To explore the effect of dibenzyl trisulfide (DTS) on cell proliferation and apoptosis in human head and neck squamous cell carcinoma (HNSCC) HN30 cells. OBJECTIVE The effects of DTS on proliferation of HNSCC cell lines HN30, HN12, and SCC25 were examined by assessing colony formation ability of the treated cells. The effect of different concentrations of DTS on viability of HN30 cells was assessed using MTT assay. HN30 cells were treated with 3, 10, or 30 μmol/L DTS for 24 h, and the cell apoptosis and mitochondrial membrane potential (MMP) were detected using flow cytometry with annexin Ⅴ-FITC/PI double staining and JC-1 fluorescent probe staining. Western blotting was performed to determine the protein expressions of caspase-3, cleaved caspase-3 and Bcl-2 in the treated cells. The phosphorylation levels of Akt and p53 in HN30 cells were detected using Western blotting after treatment with 10 μmol/L DTS for 0.5, 1, 2, 4, 8, or 16 h. OBJECTIVE DTS at 1 μmol/L significantly inhibited the proliferation of HN30, HN12 and SCC25 cells as shown by colony formation assay. MTT assay showed that DTS dose-dependently decreased HN30 cell viability as compared with the solvent control group, and 100 μmol/L DTS produced the strongest inhibitory effect (P < 0.0001). Treatment with DTS below 30 μmol/L concentrationdependently promoted apoptosis (P < 0.01) and lowered the MMP (P < 0.01) of HN30 cells, and after treatment for 24 h, the cells showed significantly increased cleaved caspase-3 (P < 0.01) and decreased Bcl-2 expression (P < 0.01). Treatment with 10 μmol/L DTS for 16 h significantly inhibited Akt phosphorylation (P < 0.001) and enhanced p53 phosphorylation (P < 0.01) in HN30 cells. OBJECTIVE DTS inhibits proliferation and induces apoptosis of HN30 cells possibly through mechanisms involving the inhibition of Akt and the activation of p53.
Collapse
Affiliation(s)
- L Xu
- Engineering Research Center of Cell and Therapeutic Antibody, School of Pharmacy, Shanghai Jiaotong University, Shanghai 200240, China
| | - F Qian
- Engineering Research Center of Cell and Therapeutic Antibody, School of Pharmacy, Shanghai Jiaotong University, Shanghai 200240, China
| | - L Sun
- Engineering Research Center of Cell and Therapeutic Antibody, School of Pharmacy, Shanghai Jiaotong University, Shanghai 200240, China
| |
Collapse
|
35
|
Deng L, Zhang X, Gao Y, Turner D, Qian F, Lu H, Vermund SH, Zhang Y, Qian HZ. Association of HIV infection and cognitive impairment in older adults: A meta-analysis. Ageing Res Rev 2021; 68:101310. [PMID: 33640473 PMCID: PMC10767715 DOI: 10.1016/j.arr.2021.101310] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 01/27/2021] [Accepted: 02/22/2021] [Indexed: 12/13/2022]
Abstract
OBJECTIVE To synthesize evidence on the association between human immunodeficiency virus (HIV) infection and cognitive impairment in older adults. DESIGN Meta-analysis. PARTICIPANTS Adults aged 50 years or older. METHODS In this systematic literature review and meta-analysis, we searched PubMed, Scopus, Embase, and APA/PsycNet for studies published before July 21, 2020, that assessed the association between HIV-infection and cognitive impairment. We calculated pooled odds ratios (ORs) of cognitive impairment for people living with HIV (PLWH) and 95 % confidence intervals (CIs) using random-effect models and calculated pooled mean difference (MD) for major cognitive domains between PLWH and HIV-uninfected adults. We assessed risk of bias using the Newcastle-Ottawa scale. RESULTS Of the 4432 studies identified, 21 cross-sectional studies were eligible for the meta-analysis, including 15 examining global cognitive impairment. The meta-analysis showed that older PLWH were more likely to be cognitively impaired than HIV-uninfected controls (OR = 2.44, 95 % CI = [1.69, 3.53], number of estimates (k) = 15, I2 = 71 %). This higher likelihood was shown in studies from high income countries (OR = 2.63, 95 % CI = [1.76, 3.94], k = 12, I2 = 55 %), but not from upper-middle income countries (OR = 1.96, 95 % CI = [0.26, 14.68], k = 3, I2 = 91 %). PLWH had lower scores than HIV-uninfected adults in 5 out of 7 major cognitive domains, including executive function (MD = -0.42, 95 % CI = [-0.72, -0.11], k = 5, I2 = 32 %), processing speed (MD = -0.33, 95 % CI = [-0.59, -0.08], k = 6, I2 = 16 %), verbal (MD=-0.29, 95 % CI = [-0.48, -0.10], k = 6, I2 = 0%), recall (MD = -0.24, 95 % CI = [-0.38, -0.10], k = 6, I2 = 0%) and motor/psychomotor (MD = -0.38, 95 % CI = [-0.59, -0.16], k = 5, I2 = 31 %) performance. CONCLUSIONS/IMPLICATIONS Our meta-analysis provides empirical evidence that HIV infection is associated with an increased risk of cognitive impairment among older adults, especially in cognitive domains of executive function, processing speed, verbal, recall, and motor/psychomotor.
Collapse
Affiliation(s)
- Luojia Deng
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Ting University, Shanghai, China.
| | - Xuezhixing Zhang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Ting University, Shanghai, China.
| | - Yanxiao Gao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China.
| | - DeAnne Turner
- Center for Interdisciplinary Research on AIDS, Yale University, New Haven, CT, USA; School of Public Health, Yale University, New Haven, CT, USA.
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
| | - Hui Lu
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Ting University, Shanghai, China; SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China.
| | - Sten H Vermund
- School of Public Health, Yale University, New Haven, CT, USA.
| | - Yue Zhang
- Department of Bioinformatics and Biostatistics, School of Life Sciences and Biotechnology, Shanghai Jiao Ting University, Shanghai, China; SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China.
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, CT, USA; SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai, China.
| |
Collapse
|
36
|
Wang CH, Yang CC, Hsu WT, Qian F, Ding J, Wu HP, Tsai JJ, Yang CJ, Su MY, Chen SC, Lee CC. Optimal initial antibiotic regimen for the treatment of acute appendicitis: a systematic review and network meta-analysis with surgical intervention as the common comparator. J Antimicrob Chemother 2021; 76:1666-1675. [PMID: 33792691 DOI: 10.1093/jac/dkab074] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2020] [Accepted: 02/14/2021] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND The optimal antibiotic regimen for the medical management of acute appendicitis remains unknown due to a lack of head-to-head comparisons between different antibiotic regimens. METHODS We systematically searched the PubMed, EMBASE, Scopus and Cochrane Central Register of Controlled Trials databases from their inception through to August 2020. We selected randomized controlled trials (RCTs) or observational studies comparing antibiotic therapy and appendectomy as the initial treatment for adult or paediatric patients with acute appendicitis. We performed a Bayesian network meta-analysis (NMA) to obtain the indirect comparison results between different antibiotic regimens by employing the group managed by surgery as a common comparator. Antibiotic regimens were classified into three categories: those including a carbapenem; those including a cephalosporin; and those including a β-lactam/β-lactamase inhibitor combination. RESULTS A total of 9 RCTs (adults, n = 8; paediatrics, n = 1) and 12 observational studies (adults, n = 3; paediatrics, n = 9) were included in the NMA, with a total of 4551 patients. The most commonly administered regimen was a β-lactam/β-lactamase inhibitor combination (9/21; 43%), followed by a cephalosporin (7/21; 33%) or a carbapenem (5/21; 24%). The NMA indicated that surgery significantly increased 1 year treatment success, compared with cephalosporins [OR: 16.79; 95% credible interval: 3.8-127.64] or β-lactam/β-lactamase inhibitor combinations (OR: 19.99; 95% credible interval: 4.87-187.57), but not carbapenems (OR: 3.50, 95% credible interval: 0.55-38.63). In contrast, carbapenems were associated with fewer treatment-related complications compared with surgery (OR: 0.12; 95% credible interval: 0.01-0.85). CONCLUSIONS Carbapenems might be recommended as the initial antibiotic regimen for the non-operative management of adult patients with acute appendicitis. Nevertheless, due to the imprecise estimates in our NMA, additional RCTs are needed to corroborate these findings, especially for paediatric patients.
Collapse
Affiliation(s)
- Chih-Hung Wang
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Department of Emergency Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Chi-Chun Yang
- Department of Medicine, College of Medicine, National Taiwan University, Taipei, Taiwan
| | - Wan-Ting Hsu
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Julia Ding
- Department of Medicine, Warren Alpert Medical School of Brown University, Providence, RI, USA
| | - Han-Ping Wu
- Department of Pediatric Emergency Medicine and Medical Research, Children's Hospital, China Medical University, Taichung, Taiwan.,Department of Medicine, School of Medicine, China Medical University, Taichung, Taiwan
| | - Jih-Jin Tsai
- Tropical Medicine Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,Division of Infectious Diseases, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan.,School of Medicine, College of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Chia-Jui Yang
- Department of Internal Medicine, Far Eastern Memorial Hospital, New Taipei City, Taiwan.,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Ming Yang Su
- Department of Medicine, College of Medicine, National Cheng-Kung University, Tainan City, Taiwan
| | - Shyr-Chyr Chen
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.,Center of Intelligent Healthcare, National Taiwan University Hospital, Taipei, Taiwan
| |
Collapse
|
37
|
Trieu K, Bhat S, Dai Z, Leander K, Gigante B, Qian F, Ardisson Korat A, Sun Q, Pan X, Laguzzi F, Cederholm T, De Faire U, Hellenius ML, Wu JH, Risérus U, Marklund M. Abstract 026: Biomarkers Of Dairy Fat Intake Associated With Lower Cardiovascular Disease Risk: A Cohort Study And Meta-analysis. Circulation 2021. [DOI: 10.1161/circ.143.suppl_1.026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Introduction:
Dietary recommendations promote low-fat rather than full fat dairy consumption. Emerging evidence, however, has raised doubts if avoidance of dairy fat will lower CVD risk. Traditionally, self-reported estimates of dairy fat intake were used to study its relationship with CVD, which are subject to recall biases and measurement error. Here, we employed circulating levels of pentadecanoic acid [15:0] as a biomarker of dairy fat intake to examine its association with CVD incidence and all-cause mortality in a Swedish population-based cohort. We also conducted a systematic review of prospective studies that assessed 15:0, and other dairy fat biomarkers (heptadecanoic acid [17:0] and
trans
-palmitoleic acid [
t
16n-7]) and their associations with CVD and all-cause mortality.
Hypothesis:
We assessed the hypothesis that higher levels of dairy fat biomarkers 15:0, 17:0 and
t
16n-7 would be associated with lower risk of incident CVD events and all-cause mortality.
Methods:
In a cohort of 60-year old Swedish women (n=2133) and men (n=2017), we measured 15:0 in serum cholesterol esters at baseline in 1997-99. Cox proportional hazard models were used to assess the associations between serum 15:0 with CVD outcomes and all-cause mortality, after adjusting for demographics and CVD risk factors. In the meta-analysis, five databases were searched to include prospective observational studies that examined the associations between circulating or adipose tissues levels of 15:0, 17:0 and
t
16n-7 and CVD and mortality risks. Pooled associations of each dairy fat biomarker with incidence of CVD and all-cause mortality were estimated using a random-effects model.
Results:
During a median follow-up of 16.6 years, 578 incident CVD events and 676 deaths were identified using national registers. In multivariable-adjusted models, higher serum 15:0 was associated with lower incidence of CVD in a linear dose-response manner [HR: 0.75 per interquintile range; 95% CI: 0.61, 0.93), but in a non-linear relationship with all-cause mortality (P
nonlinearity
= 0.03); with a nadir of mortality risk around the median level of 15:0. In the meta-analysis including our Swedish cohort and 17 other studies, the relative risk of total CVD comparing the highest versus the lowest tertile was 0.88 (0.78, 0.99) for 15:0 (n=17), 0.86 (0.79, 0.93) for 17:0 (n=12), and 1.01 (0.91, 1.12) for t16n-7 (n=6). In meta-analyses of ≤3 studies, there was little evidence that dairy fat biomarkers were associated with all-cause mortality.
Conclusion:
In conclusion, our de novo Swedish cohort study and an updated systematic review including 18 studies suggests that higher levels of dairy fat biomarkers (15:0 and 17:0) were associated with a lower risk of CVD incidence. These results justify further investigation in interventional and experimental studies to elucidate the potential causality of these relationships and relevant mechanisms.
Collapse
Affiliation(s)
- Kathy Trieu
- The George Institute for Global Health, Newtown, Australia
| | - Saiuj Bhat
- The Univ of Western Australia, Crawley, Australia
| | | | | | - Bruna Gigante
- Institute for Environmental Medicine, Stockholm, Sweden
| | | | | | - Qi Sun
- Harvard T.H. Chan Sch of Public Health, Boston, Australia
| | - Xiongfei Pan
- The George Institute for Global Health, Newtown, Australia
| | | | | | | | | | - Jason H Wu
- The George Institute for Global Health, Newtown, Australia
| | | | - Matti Marklund
- The George Institute for Global Health, Newtown, Australia
| |
Collapse
|
38
|
Qian F, Aggarwal R, Chiu N, Bhatt DL. COMPREHENSIVE PHARMACOLOGIC THERAPIES FOR THE PREVENTION OF CARDIORENAL OUTCOMES IN PATIENTS WITH TYPE 2 DIABETES AND CHRONIC KIDNEY DISEASE: A COMPARATIVE ANALYSIS OF RANDOMIZED CONTROLLED TRIALS. J Am Coll Cardiol 2021. [DOI: 10.1016/s0735-1097(21)02827-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
39
|
Chen Y, Gao Y, Zhou Y, Li X, Wang H, Polonsky TS, Vermund SH, Qian HZ, Qian F. Human Immunodeficiency Virus Infection and Incident Heart Failure: A Meta-Analysis of Prospective Studies. J Acquir Immune Defic Syndr 2021; 87:741-749. [PMID: 33492019 PMCID: PMC10768809 DOI: 10.1097/qai.0000000000002629] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 01/11/2021] [Indexed: 11/25/2022]
Abstract
OBJECTIVES To systematically analyze available prospective evidence on the association between HIV infection and incident heart failure (HF). METHODS A systematic search of PubMed, EMBASE, Web of Science, and manual search of relevant articles through June 1st, 2020, was conducted. Two authors independently performed full-text assessments and data extraction. The pooled relative risk with 95% confidence interval was estimated using DerSimonian and Laird random-effects models, with inverse-variance fixed-effects meta-analysis used as a sensitivity analysis. Heterogeneity was explored using subgroup analyses and meta-regressions. RESULTS We included 8 reports among 8,848,569 participants with 101,335 incident cases of HF [1941 among 131,632 people living with HIV (PLWH) and 99,394 among 8,716,937 control participants]. In the overall analysis using a random-effect model, HIV infection was positively associated with incident HF [relative risk, 1.80 (95% confidence interval: 1.51 to 2.15)], although with significant heterogeneity. A similar association was observed with a fixed-effects model, 1.59 (1.50 to 1.68). In subgroup analyses, associations between HIV infection and HF were nominally stronger in younger adults (age < 50 years), women, and individuals with low CD4 count (<200 cells/mm3). Publication bias was suggested from visual examination of funnel plots, correcting for this did not abolish the association, 1.52 (1.25 to 1.85). CONCLUSIONS Our meta-analysis provides additional evidence that HIV is associated with an increased risk of HF, particularly among younger adults, women, and individuals with low CD4 count.
Collapse
Affiliation(s)
- Yuqing Chen
- Xiangya Nursing School, Central South University, Changsha, China
| | - Yanxiao Gao
- School of Public Health (Shenzhen), Sun Yat-sen University, Shenzhen, China
| | - Yaqin Zhou
- Xiangya Nursing School, Central South University, Changsha, China
| | - Xianhong Li
- Xiangya Nursing School, Central South University, Changsha, China
| | - Honghong Wang
- Xiangya Nursing School, Central South University, Changsha, China
| | | | - Sten H. Vermund
- School of Public Health, Yale University, New Haven, CT, USA
| | - Han-Zhu Qian
- School of Public Health, Yale University, New Haven, CT, USA
| | - Frank Qian
- Department of Medicine, University of Chicago, Chicago, IL, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| |
Collapse
|
40
|
Qian F, Ardisson Korat AV, Imamura F, Marklund M, Tintle N, Virtanen JK, Zhou X, Bassett JK, Lai H, Hirakawa Y, Chien KL, Wood AC, Lankinen M, Murphy RA, Samieri C, Pertiwi K, de Mello VD, Guan W, Forouhi NG, Wareham N, Hu ICFB, Riserus U, Lind L, Harris WS, Shadyab AH, Robinson JG, Steffen LM, Hodge A, Giles GG, Ninomiya T, Uusitupa M, Tuomilehto J, Lindström J, Laakso M, Siscovick DS, Helmer C, Geleijnse JM, Wu JHY, Fretts A, Lemaitre RN, Micha R, Mozaffarian D, Sun Q. n-3 Fatty Acid Biomarkers and Incident Type 2 Diabetes: An Individual Participant-Level Pooling Project of 20 Prospective Cohort Studies. Diabetes Care 2021; 44:1133-1142. [PMID: 33658295 PMCID: PMC8132316 DOI: 10.2337/dc20-2426] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Accepted: 02/04/2021] [Indexed: 02/06/2023]
Abstract
OBJECTIVE Prospective associations between n-3 fatty acid biomarkers and type 2 diabetes (T2D) risk are not consistent in individual studies. We aimed to summarize the prospective associations of biomarkers of α-linolenic acid (ALA), eicosapentaenoic acid (EPA), docosapentaenoic acid (DPA), and docosahexaenoic acid (DHA) with T2D risk through an individual participant-level pooled analysis. RESEARCH DESIGN AND METHODS For our analysis we incorporated data from a global consortium of 20 prospective studies from 14 countries. We included 65,147 participants who had blood measurements of ALA, EPA, DPA, or DHA and were free of diabetes at baseline. De novo harmonized analyses were performed in each cohort following a prespecified protocol, and cohort-specific associations were pooled using inverse variance-weighted meta-analysis. RESULTS A total of 16,693 incident T2D cases were identified during follow-up (median follow-up ranging from 2.5 to 21.2 years). In pooled multivariable analysis, per interquintile range (difference between the 90th and 10th percentiles for each fatty acid), EPA, DPA, DHA, and their sum were associated with lower T2D incidence, with hazard ratios (HRs) and 95% CIs of 0.92 (0.87, 0.96), 0.79 (0.73, 0.85), 0.82 (0.76, 0.89), and 0.81 (0.75, 0.88), respectively (all P < 0.001). ALA was not associated with T2D (HR 0.97 [95% CI 0.92, 1.02]) per interquintile range. Associations were robust across prespecified subgroups as well as in sensitivity analyses. CONCLUSIONS Higher circulating biomarkers of seafood-derived n-3 fatty acids, including EPA, DPA, DHA, and their sum, were associated with lower risk of T2D in a global consortium of prospective studies. The biomarker of plant-derived ALA was not significantly associated with T2D risk.
Collapse
Affiliation(s)
- Frank Qian
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA
| | - Andres V Ardisson Korat
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Fumiaki Imamura
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Matti Marklund
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.,Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Nathan Tintle
- Department of Mathematics and Statistics, Dordt University, Sioux Center, IA.,Fatty Acid Research Institute, Sioux Falls, SD
| | - Jyrki K Virtanen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Xia Zhou
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | | | - Heidi Lai
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,Imperial College London, London, U.K
| | - Yoichiro Hirakawa
- Department of Medicine and Clinical Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | - Kuo-Liong Chien
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Taipei, Taiwan.,Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan
| | - Alexis C Wood
- Children's Nutrition Research Center, U.S. Department of Agriculture/Agricultural Research Service, Houston, TX
| | - Maria Lankinen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Rachel A Murphy
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Cecilia Samieri
- INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Kamalita Pertiwi
- Division of Human Nutrition, Wageningen University, Wageningen, the Netherlands
| | - Vanessa D de Mello
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Weihua Guan
- Division of Biostatistics, University of Minnesota, Minneapolis, MN
| | - Nita G Forouhi
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - Nick Wareham
- MRC Epidemiology Unit, University of Cambridge School of Clinical Medicine, Cambridge, U.K
| | - InterAct Consortium Frank B Hu
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA.,Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA.,Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA
| | - Ulf Riserus
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Lars Lind
- Clinical Nutrition and Metabolism, Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden.,Department of Medical Sciences, Uppsala University, Uppsala, Sweden
| | - William S Harris
- Fatty Acid Research Institute, Sioux Falls, SD.,Department of Internal Medicine, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
| | - Aladdin H Shadyab
- Department of Family Medicine and Public Health, University of California San Diego School of Medicine, La Jolla, CA
| | | | - Lyn M Steffen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
| | - Allison Hodge
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia
| | - Graham G Giles
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN.,Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, Australia.,Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, Victoria, Australia
| | - Toshiharu Ninomiya
- Department of Epidemiology and Public Health, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.,Center for Cohort Studies, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan
| | | | - Jaakko Tuomilehto
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland.,Diabetes Research Group, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Jaana Lindström
- Public Health Promotion Unit, Finnish Institute for Health and Welfare, Helsinki, Finland
| | - Markku Laakso
- Institute of Clinical Medicine, University of Eastern Finland, Kuopio, Finland
| | | | - Catherine Helmer
- University of British Columbia, Vancouver, British Columbia, Canada
| | - Johanna M Geleijnse
- INSERM, UMR 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Jason H Y Wu
- The George Institute for Global Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Amanda Fretts
- Department of Epidemiology, University of Washington School of Public Health, Seattle, WA
| | - Rozenn N Lemaitre
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Renata Micha
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA
| | - Dariush Mozaffarian
- Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA.,Division of Cardiology, Tufts Medical Center, Boston, MA
| | | | | |
Collapse
|
41
|
Wei C, Qian F, Liu Y, Maione L, Hsu HC, Hsu WT, Lee CC. Impact of obesity on influenza compared to pneumonia hospitalization outcomes. Obes Res Clin Pract 2021; 15:235-242. [PMID: 33832874 DOI: 10.1016/j.orcp.2021.03.010] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2020] [Revised: 03/06/2021] [Accepted: 03/19/2021] [Indexed: 12/12/2022]
Abstract
OBJECTIVES Previous literature has suggested that obesity impacts mortality risk differently in bacterial versus viral infections. This study sought to further elucidate this association in pneumonia versus influenza. DESIGN Retrospective cohort study. SETTING AND PARTICIPANTS Data were collected from the US Nationwide Readmission Database from 2013 to 2014. METHODS Patients were categorized into three weight groups: normal weight (BMI 18.5-25.0 kg/m2), obese (BMI 30-40.0 kg/m2), and morbidly obese (BMI ≥ 40 kg/m2). To minimize confounding, we excluded patients with a history of smoking, alcoholism, or chronic wasting conditions, as suggested by the Global BMI Mortality Collaboration. To further isolate obesity from baseline differences across cohorts, we performed a three-way propensity matching analysis. The association between body weight and in-hospital all-cause 30-day mortality was assessed using Cox proportional hazard regression analysis. RESULTS 132,965 influenza and 34,177 pneumonia hospitalizations were identified. For patients with influenza, obesity (hazard ratio [HR]: 1.51; 95% CI: 1.01-2.26) and morbid obesity (HR: 1.64; 95% CI: 1.10-2.44) were associated with higher in-hospital 30-day mortality compared to normal weight. For pneumonia, obesity (HR, 0.41; 95% CI, 0.20-0.84) and morbid obesity (HR, 0.49; 95% CI, 0.25-0.96) were associated with reduced 30-day mortality compared to normal weight. CONCLUSIONS AND IMPLICATIONS Obesity may increase 30-day mortality risk during influenza hospitalization but provide mortality benefit in pneumonia, a divergent effect not adequately explained by lower admission threshold.
Collapse
Affiliation(s)
- Chen Wei
- Harvard Medical School, Boston, MA, USA
| | - Frank Qian
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Ye Liu
- Department of Health Care Organization and Policy, University of Alabama at Birmingham, School of Public Health, Birmingham, AL, USA
| | - Luigi Maione
- Division of Endocrinology, Diabetes and Hypertension, Brigham and Women's Hospital, Boston, MA, USA; Paris-Sud/Paris-Saclay University: Endocrinology and Reproductive Diseases, Orsay, Île-de-France, France
| | - Huei-Ching Hsu
- Traditional Chinese Medicine Department, Pingtung Hospital, Ministry of Health and Welfare, Pingtung, Taiwan; Harvard Medical School Executive Education Program, Boston, MA, USA
| | - Wan-Ting Hsu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Chien-Chang Lee
- Department of Emergency Medicine, National Taiwan University Hospital, Taipei, Taiwan.
| |
Collapse
|
42
|
Han B, Qian F, Zhang Y, Zhang B, Wang S. P46.04 Identify Lung Adenocarcinoma among Pulmonary Micro-nodules through Blood Gene Expression Profiles. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
43
|
Han B, Qian F, Zhang Y, Zhang B, Wang S. P46.05 A Blood Six-Gene Test for Early-Stage Lung Adenocarcinoma Screening in Asympomatic Population. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.854] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
44
|
Han B, Zhang W, Zhang B, Chen Y, Zhang Y, Lou Y, Dong Y, Qian F, Zhou W, Yang Z. P48.09 Anlotinib Plus Etoposide and Carboplatin as First-Line Treatment for Extensive-Stage Small Cell Lung Cancer: A Single Arm Phase II Trial. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
45
|
Han B, Zhang W, Shi C, Chu T, Zhong H, Zhang Y, Lou Y, Dong Y, Qian F, Zhou W, Chen Y, Yang Z. P15.07 Safety and Efficacy Profile of TQB-2450 Alone/with Anlotinib in Previously-Treated Advanced NSCLC: A Phase IB Single-Arm Trial. J Thorac Oncol 2021. [DOI: 10.1016/j.jtho.2021.01.544] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
46
|
Hazard ML, Wicker C, Qian F, Williamson AE, Teixeira FB. Accuracy of cold sensibility testing on teeth with full-coverage restorations: a clinical study. Int Endod J 2021; 54:1008-1015. [PMID: 33550601 DOI: 10.1111/iej.13490] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 02/03/2021] [Indexed: 01/19/2023]
Abstract
AIM This clinical study evaluated the reliability of the 1,1,1,2-tetrafluoroethane (Endo Ice) cold test to determine the pulpal diagnosis of teeth with full-coverage restorations (FCR). The effect of several variables on its reliability was also investigated. METHODOLOGY Data collected from 825 patients treated in the Advanced Education Program in Endodontics at the University of Iowa, USA were analysed. The experimental group included 425 teeth with FCR, whilst the control group consisted of 400 teeth with natural crowns (NC). The pulp sensibility test results, tooth type, tooth number, type of crown, age, gender, presence or absence of caries and recent use of analgesics were recorded. Bivariate analyses were performed to assess the variables associated with the accuracy of dental pulp sensibility tests for either teeth with crowns or teeth without crowns using chi-square tests, Fisher's exact tests, Cochran-Mantel-Haenszel tests, and the Wilcoxon rank-sum tests. A P-value of less than 0.05 was used as a criterion for statistical significance, and a P-value in 0.05 < P < 0.10 was used as a criterion for marginal relevance. RESULTS The sensibility test results for FCR teeth had an accuracy of 0.866; sensitivity of 0.835; specificity of 0.879; a positive predictive value of 0.746; and a negative predictive value of 0.926. The data indicated a significant difference in the accuracy of pulp sensibility test results between the experimental and control groups (P < 0.001). Although the cold test in FCR teeth still had high accuracy, teeth with NC were significantly more likely to have true-positive and true-negative results (91.5% NC vs. 86.6% FCR, P = 0.024). No significant differences between FCR and NC were found concerning gender, tooth type, type of crown, the presence of abutment and recent use of analgesic (P > 0.05). CONCLUSION Pulp sensibility cold testing with 1,1,1,2-tetrafluoroethane (TFE) on teeth with FCR was less accurate than on teeth without full-coverage crowns. However, the use of TFE cold testing is still a relevant and reliable diagnostic tool, particularly for teeth with a pulpal diagnosis of symptomatic irreversible pulpitis. Clinicians should routinely carry out cold pulp sensibility testing on teeth when making a pulpal diagnosis.
Collapse
Affiliation(s)
- M L Hazard
- Department of Endodontics, College of Dentistry and Dental Clinics, University of Iowa, Iowa City, IA, USA
| | - C Wicker
- Department of Endodontics, College of Dentistry and Dental Clinics, University of Iowa, Iowa City, IA, USA
| | - F Qian
- Division of Biostatistics and Computational Biology, College of Dentistry and Dental Clinics, University of Iowa, Iowa City, IA, USA
| | - A E Williamson
- Department of Endodontics, College of Dentistry and Dental Clinics, University of Iowa, Iowa City, IA, USA
| | - F B Teixeira
- Department of Endodontics, College of Dentistry and Dental Clinics, University of Iowa, Iowa City, IA, USA
| |
Collapse
|
47
|
Li H, Qian F, Hou C, Li X, Gao Q, Luo Y, Tao L, Yang X, Wang W, Zheng D, Guo X. Longitudinal Changes in Depressive Symptoms and Risks of Cardiovascular Disease and All-Cause Mortality: A Nationwide Population-Based Cohort Study. J Gerontol A Biol Sci Med Sci 2021; 75:2200-2206. [PMID: 31588954 DOI: 10.1093/gerona/glz228] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Indexed: 01/20/2023] Open
Abstract
BACKGROUND There remains a relative paucity of evidence for the association between changes in depressive symptoms with cardiovascular disease (CVD) and mortality. This study aimed to evaluate the association of change in depressive symptoms and incident CVD and mortality in a large prospective cohort of middle-aged and older adults. METHODS A total of 6,810 participants free of CVD in the China Health and Retirement Longitudinal Study with two assessments of depressive symptoms at wave 1 (2011-2012) and wave 2 (2013-2014) were included. Elevated depressive symptoms were defined as a score of ≥12 on the 10-item Center for Epidemiologic Studies Depression scale. We used a modified Poisson regression to examine the association of changes in depressive symptoms (never, onset, remitted, and persistent) and incident CVD (a composite endpoint of heart disease or stroke) and mortality at wave 3 (2015-2016). RESULTS During follow-up, 457 CVDs and 148 deaths occurred. Multivariable analyses revealed that persistent depressive symptoms were associated with an elevated risk of CVD (risk ratio = 1.77, 95% confidence interval = 1.38-2.26) and mortality (risk ratio = 1.63, 95% confidence interval = 1.01-2.64) compared with participants without any depressive symptoms. New-onset depressive symptoms increased the mortality risk (risk ratio = 2.37, 95% confidence interval = 1.52-3.69), but not CVD (risk ratio = 1.15, 95% confidence interval = 0.84-1.58). Remitted depressive symptoms were associated with a 35% and 13% excess risk of CVD and mortality, respectively. CONCLUSION Persistent and remitted depressive symptoms were associated with an increased risk of CVD. New-onset depressive symptoms predicted elevated mortality risk.
Collapse
Affiliation(s)
- Haibin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Frank Qian
- Department of Medicine, University of Chicago, Illinois
| | - Chenbei Hou
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Bundoora, Victoria, Australia
| | - Qi Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Lixin Tao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Wei Wang
- Global Health and Genomics, School of Medical Sciences and Health, Edith Cowan University, Perth, Western Australia, Australia
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China.,Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| |
Collapse
|
48
|
Bhat S, Trieu K, Dai Z, Leander K, Gigante B, Qian F, Korat A, Sun Q, Pan X, Laguzzi F, Cederholm T, de Faire U, Hellénius M, Wu J, Risérus U, Marklund M. Biomarkers of Dairy Fat Intake, Incident Cardiovascular Disease, and All-Cause Mortality: A Systematic Review and Meta-analysis. Heart Lung Circ 2021. [DOI: 10.1016/j.hlc.2021.06.405] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
49
|
Miao Y, Ishfaq M, Liu Y, Wu Z, Wang J, Li R, Qian F, Ding L, Li J. Baicalin attenuates endometritis in a rabbit model induced by infection with Escherichia coli and Staphylococcus aureus via NF-κB and JNK signaling pathways. Domest Anim Endocrinol 2021; 74:106508. [PMID: 32861957 DOI: 10.1016/j.domaniend.2020.106508] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 05/20/2020] [Accepted: 06/02/2020] [Indexed: 12/12/2022]
Abstract
In this study, a rabbit endometritis model was developed to study cow endometritis. In addition, the protective effects of baicalin (a flavonoid) against endometritis were investigated. Clinical symptoms, differential leukocyte counting, uterine secretion smear microscopy and chemical examination, urine testing, and signs of necropsy showed abnormal changes and inflammatory responses in the uterus of rabbits. Histopathological results revealed visible inflammatory exudates and blood spots between intercellular spaces which confirmed that the rabbit endometritis model was successfully developed. Most importantly, these inflammatory signs were partially attenuated with baicalin treatment. The data revealed that the increased body temperature and leukocyte cells, pus, and the detachment of epithelial cells were alleviated with baicalin administration in a dose-dependent manner. Histopathological tissue changes such as inflammatory cells infiltrates, hyperemia, hemorrhages, and shedding of epithelial cells were partially attenuated with baicalin treatment. In addition, the mRNA expression of inflammation-related genes (iNOS, IL-1β, TNF-α, IL-10, IL-4, and IL-6) was significantly altered in RAW264.7 cells after LPS treatment. Further, the phosphorylated protein expression of JNK, p65, and IκBα were significantly reduced with LPS treatment. Intriguingly, baicalin pretreatment reversed the alteration in mRNA expression of inflammation-related genes and significantly reduced the phosphorylation of JNK, p65, and IκBα. In summary, our results suggest that baicalin has protective effects on bacterial-induced endometritis in rabbits that involve the suppression of NF-κB and JNK signaling pathways and pro-inflammatory cytokines.
Collapse
Affiliation(s)
- Y Miao
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China
| | - M Ishfaq
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China
| | - Y Liu
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China
| | - Z Wu
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China
| | - J Wang
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China
| | - R Li
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China
| | - F Qian
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China
| | - L Ding
- College of Life Science, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China.
| | - J Li
- Heilongjiang Key Laboratory for Animal Disease Control and Pharmaceutical Development, College of Veterinary Medicine, Northeast Agricultural University, 600 Changjiang Road, Xiangfang District, Harbin 150030, China.
| |
Collapse
|
50
|
Li H, Qian F, Hou C, Li X, Gao Q, Luo Y, Tao L, Yang X, Wang W, Zheng D, Guo X. Corrigendum to: Longitudinal Changes in Depressive Symptoms and Risks of Cardiovascular Disease and All-Cause Mortality: A Nationwide Population-Based Cohort Study. J Gerontol A Biol Sci Med Sci 2020; 75:2237. [DOI: 10.1093/gerona/glaa220] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Affiliation(s)
- Haibin Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Frank Qian
- Department of Medicine, University of Chicago, Illinois
| | - Chenbei Hou
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Xia Li
- Department of Mathematics and Statistics, La Trobe University, Bundoora, Victoria, Australia
| | - Qi Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Yanxia Luo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Lixin Tao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Xinghua Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Wei Wang
- Global Health and Genomics, School of Medical Sciences and Health, Edith Cowan University, Perth, Western Australia, Australia
| | - Deqiang Zheng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| | - Xiuhua Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, Beijing, China
- Beijing Municipal Key Laboratory of Clinical Epidemiology, Capital Medical University, China
| |
Collapse
|