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Wang K, Lo CH, Mehta RS, Nguyen LH, Wang Y, Ma W, Ugai T, Kawamura H, Ugai S, Takashima Y, Mima K, Arima K, Okadome K, Giannakis M, Sears CL, Meyerhardt JA, Ng K, Segata N, Izard J, Rimm EB, Garrett WS, Huttenhower C, Giovannucci EL, Chan AT, Ogino S, Song M. An Empirical Dietary Pattern Associated with the Gut Microbial Features in Relation to Colorectal Cancer Risk. Gastroenterology 2024:S0016-5085(24)05300-9. [PMID: 39117122 DOI: 10.1053/j.gastro.2024.07.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Revised: 07/02/2024] [Accepted: 07/29/2024] [Indexed: 08/10/2024]
Abstract
BACKGROUND & AIMS Epidemiologic evidence for dietary influence on colorectal cancer (CRC) risk through the gut microbiome remains limited. METHODS Leveraging 307 men and 212 women with stool metagenomes and dietary data, we characterized and validated a sex-specific dietary pattern associated with the CRC-related gut microbial signature (CRC Microbial Dietary Score [CMDS]). We evaluated the associations of CMDS with CRC risk according to Fusobacterium nucleatum, pks+Escherichia coli, and enterotoxigenic Bacteroides fragilis status in tumor tissue using Cox proportional hazards regression in the Health Professionals Follow-Up Study (1986-2018), Nurses' Health Study (1984-2020), and Nurses' Health Study II (1991-2019). RESULTS The CMDS was characterized by high industrially processed food and low unprocessed fiber-rich food intakes. In 259,200 participants, we documented 3854 incident CRC cases over 6,467,378 person-years of follow-up. CMDS was associated with a higher risk of CRC (Ptrend < .001), with a multivariable hazard ratio (HRQ5 vs Q1) of 1.25 (95% CI, 1.13-1.39). The association remained after adjusting for previously established dietary patterns, for example, the Western and prudent diets. Notably, the association was stronger for tumoral F nucleatum-positive (HRQ5 vs Q1, 2.51; 95% CI, 1.68-3.75; Ptrend < .001; Pheterogeneity = .03, positivity vs negativity), pks+E coli-positive (HRQ5 vs Q1, 1.68; 95% CI, 0.84-3.38; Ptrend = .005; Pheterogeneity = .01, positivity vs negativity), and enterotoxigenic Bacteroides fragilis-positive CRC (HRQ5 vs Q1, 2.06; 95% CI, 1.10-3.88; Ptrend = .016; Pheterogeneity = .06, positivity vs negativity), compared with their negative counterparts. CONCLUSIONS CMDS was associated with increased CRC risk, especially for tumors with detectable F nucleatum, pks+E coli, and enterotoxigenic Bacteroides fragilis in tissue. Our findings support a potential role of the gut microbiome underlying the dietary effects on CRC.
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Affiliation(s)
- Kai Wang
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Chun-Han Lo
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Department of Internal Medicine, Kirk Kerkorian School of Medicine, University of Nevada, Las Vegas, Nevada
| | - Raaj S Mehta
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Long H Nguyen
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Yiqing Wang
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Wenjie Ma
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts
| | - Tomotaka Ugai
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Hidetaka Kawamura
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Satoko Ugai
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Yasutoshi Takashima
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kosuke Mima
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kota Arima
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Kazuo Okadome
- Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts
| | - Marios Giannakis
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Cynthia L Sears
- Division of Infectious Diseases, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Jeffrey A Meyerhardt
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Kimmie Ng
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts
| | - Nicola Segata
- Department of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy; European Institute of Oncology Scientific Institute for Research, Hospitalization and Healthcare, Milan, Italy
| | - Jacques Izard
- Department of Internal Medicine, University of Nebraska Medical Center, Omaha, Nebraska; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, Nebraska; Frederick F. Paustian Inflammatory Bowel Disease Center, University of Nebraska Medical Center, Omaha, Nebraska
| | - Eric B Rimm
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Wendy S Garrett
- Harvard Medical School, Boston, Massachusetts; Department of Medical Oncology, Dana-Farber Cancer Institute, Boston, Massachusetts; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Curtis Huttenhower
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts
| | - Edward L Giovannucci
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts
| | - Andrew T Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts; Department of Immunology and Infectious Disease, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
| | - Shuji Ogino
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Program in Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital, Boston, Massachusetts; Broad Institute of Massachusetts Institute of Technology and Harvard University, Cambridge, Massachusetts; Cancer Immunology and Cancer Epidemiology Programs, Dana-Farber/Harvard Cancer Center, Boston, Massachusetts; Tokyo Medical and Dental University, Institute of Science Tokyo, Tokyo, Japan
| | - Mingyang Song
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, Massachusetts; Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts; Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital, Boston, Massachusetts; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
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Dong Z, Richie JP, Gao X, Al-Shaar L, Nichenametla SN, Shen B, Orentreich D. Cumulative Consumption of Sulfur Amino Acids and Risk of Diabetes: A Prospective Cohort Study. J Nutr 2022; 152:2419-2428. [PMID: 36774108 DOI: 10.1093/jn/nxac172] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 05/17/2022] [Accepted: 08/02/2022] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Cross-sectional studies have suggested that consumption of sulfur amino acids (SAAs), including methionine and cysteine, is associated with a higher risk of type 2 diabetes (T2D) in humans and with T2D-related biomarkers in animals. But whether higher long-term SAA intake increases the risk of T2D in humans remains unknown. OBJECTIVES We aimed to investigate the association between long-term dietary SAA intake and risk of T2D. METHODS We analyzed data collected from 2 different cohorts of the Framingham Heart Study, a long-term, prospective, and ongoing study. The Offspring cohort (1991-2014) included participants from fifth through ninth examinations, and the Third-Generation cohort (2002-2011) included participants from first and second examinations. After excluding participants with a clinical history of diabetes, missing dietary data, or implausible total energy intake, 3222 participants in the Offspring cohort and 3205 participants in the Third-Generation cohort were included. Dietary intake was assessed using a validated FFQ. The relations between energy-adjusted total SAA (methionine and cysteine) intake or individual SAA intake (in quintiles) and risk of incident T2D were estimated via Cox proportional hazards models after adjusting for dietary and nondietary risk factors. Associations across the 2 cohorts were determined by direct combination and meta-analysis. RESULTS During the 23 y of follow-up, 472 participants reported a new diagnosis of T2D in the 2 cohorts. In the meta-analysis, the HRs of T2D comparing the highest with the lowest intake of total SAAs, methionine, and cysteine were 1.8 (95% CI: 1.3, 2.5), 1.7 (95% CI: 1.2, 2.3), and 1.4 (95% CI: 1.0, 2.1), respectively. The association of SAA intake with T2D was attenuated after adjusting animal protein intake in sensitivity analyses. CONCLUSIONS Our findings show that excess intake of SAAs is associated with higher risk of T2D. Dietary patterns that are low in SAAs could help in preventing T2D.
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Affiliation(s)
- Zhen Dong
- Orentreich Foundation for the Advancement of Science, Inc, Cold Spring, NY, USA.
| | - John P Richie
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - Xiang Gao
- Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, USA
| | - Laila Al-Shaar
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | | | - Biyi Shen
- Department of Public Health Sciences, Pennsylvania State University College of Medicine, Hershey, PA, USA
| | - David Orentreich
- Orentreich Foundation for the Advancement of Science, Inc, Cold Spring, NY, USA
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Li J, Yu P, Lai P, Zou J, Liu Z, Yi X, Wang W, Pan C. Regioselective Radical Reaction of Monometallofullerene Y@C 2v(9)-C 82 With N-arylbenzamidine Mediated by Silver Carbonate. Front Chem 2020; 8:593602. [PMID: 33195099 PMCID: PMC7606928 DOI: 10.3389/fchem.2020.593602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 09/01/2020] [Indexed: 11/13/2022] Open
Abstract
A novel radical reaction of monometallofullerene Y@C2v(9)-C82 with N-arylbezamidine (1) is successfully conducted through catalysis with silver carbonate. The high-performance liquid chromatographic and mass spectrum results demonstrate that the reaction is highly regioselective to afford only one monoadduct (2) with an imidazoline group added on C82 cage, and computations through density functional theory reveal the addition group is attached to a specific [5, 6]-bond (C20-C76) near the Y atom. Furthermore, the analysis of prymidalization angle of the carbon atoms demonstrates the geometry of carbon cage is in favor of the regioselective formation of isomer (20, 76).
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Affiliation(s)
- Jia Li
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an, China
| | - Pengyuan Yu
- State Key Laboratory of Materials Processing and Die & Mold Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
| | - Peng Lai
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an, China
| | - Jiajun Zou
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an, China
| | - Zhe Liu
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an, China
| | - Xiuguang Yi
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an, China
| | - Wei Wang
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an, China
| | - Changwang Pan
- School of Chemistry and Chemical Engineering, Jinggangshan University, Ji'an, China.,State Key Laboratory of Materials Processing and Die & Mold Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, China
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Pan A, Sun Q, Bernstein AM, Schulze MB, Manson JE, Willett WC, Hu FB. Red meat consumption and risk of type 2 diabetes: 3 cohorts of US adults and an updated meta-analysis. Am J Clin Nutr 2011; 94:1088-96. [PMID: 21831992 PMCID: PMC3173026 DOI: 10.3945/ajcn.111.018978] [Citation(s) in RCA: 464] [Impact Index Per Article: 35.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND The relation between consumption of different types of red meats and risk of type 2 diabetes (T2D) remains uncertain. OBJECTIVE We evaluated the association between unprocessed and processed red meat consumption and incident T2D in US adults. DESIGN We followed 37,083 men in the Health Professionals Follow-Up Study (1986-2006), 79,570 women in the Nurses' Health Study I (1980-2008), and 87,504 women in the Nurses' Health Study II (1991-2005). Diet was assessed by validated food-frequency questionnaires, and data were updated every 4 y. Incident T2D was confirmed by a validated supplementary questionnaire. RESULTS During 4,033,322 person-years of follow-up, we documented 13,759 incident T2D cases. After adjustment for age, BMI, and other lifestyle and dietary risk factors, both unprocessed and processed red meat intakes were positively associated with T2D risk in each cohort (all P-trend <0.001). The pooled HRs (95% CIs) for a one serving/d increase in unprocessed, processed, and total red meat consumption were 1.12 (1.08, 1.16), 1.32 (1.25, 1.40), and 1.14 (1.10, 1.18), respectively. The results were confirmed by a meta-analysis (442,101 participants and 28,228 diabetes cases): the RRs (95% CIs) were 1.19 (1.04, 1.37) and 1.51 (1.25, 1.83) for 100 g unprocessed red meat/d and for 50 g processed red meat/d, respectively. We estimated that substitutions of one serving of nuts, low-fat dairy, and whole grains per day for one serving of red meat per day were associated with a 16-35% lower risk of T2D. CONCLUSION Our results suggest that red meat consumption, particularly processed red meat, is associated with an increased risk of T2D.
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Affiliation(s)
- An Pan
- Department of Nutrition, Harvard School of Public Health, Boston, MA 02115, USA
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