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王峰磊

职称:研究员 博士生导师

邮箱:fengleiwang@bjmu.edu.cn

研究领域:营养数据科学

王峰磊,博士,研究员,任职于北京大学公共卫生学院营养与食品卫生学系。2025年入选国家海外高层次人才计划青年项目。

长期致力于整合营养流行病学与现代组学技术(例如代谢组学、肠道菌群等),全面深入研究饮食与慢性疾病之间的关系和机制。研究成果以第一作者(含共同)在Nature Medicine, Nature Metabolism, Nature Communications, JAMA Internal Medicine, Diabetologia, The American Journal of Clinical Nutrition等期刊发表论文50余篇。先后受邀为十几个国际期刊审稿,包括Diabetes Care, Microbiome, SCIENCE CHINA Life Sciences, Annals of Internal Medicine, Metabolism, The American Journal of Clinical Nutrition, Clinical Nutrition, Nutrition Reviews等。

教育经历

2017 – 2021 博士,营养流行病,哈佛大学

2020 – 2021 硕士,生物统计,哈佛大学陈曾熙公共卫生学院

2014 – 2017 硕士,浙江大学

2010 – 2014 本科,浙江大学

工作经历

2026 – 至今  研究员              北京大学公共卫生学院,营养与食品卫生学系

2024 – 2026 副研究员           哈佛大学陈曾熙公共卫生学院,营养系

2021 – 2024 博士后研究员    哈佛大学陈曾熙公共卫生学院,营养系

获奖荣誉

2025 Lifestyle and Cardiometabolic Health Early Career Investigator Award Finalists, AHA Scientific Sessions

2025 Emerging Leaders in Nutrition Science Poster Competition Finalists, ASN Annual Meeting

2025 Top Reviewers for The American Journal of Clinical Nutrition (AJCN)

2021 Paul Dudley White International Scholar Award, AHA Scientific Sessions

2021 Paul Dudley White International Scholar Award, AHA EPI | Lifestyle Annual Conference

2020 Scholar-in-Training Award, AACR Annual Meeting

2019 Irene M. & Fredrick J. Stare Nutrition Education Fund, Department of Nutrition, Harvard T.H. Chan School of Public Health (HSPH)

2016 New Investigators Award (Top Ten), ISSFAL Congress

2016 浙江大学竺可桢奖学金

2016 研究生国家奖学金

研究方向

课题组围绕营养数据科学,主要从以下两个方向展开研究:

(1) 饮食、生活方式与慢性疾病(特别是老年健康相关疾病和肿瘤代谢)的多组学研究;

(2) 利用系统流行病学方法开发客观反映食物摄入的生物标记物。

出版专著

参编 食物与健康——科学证据共识,人民卫生出版社

科研项目

主持 2025 – 2026 NIH Pathway to Independence Award (K99/R00) “Molecular profiles for mortality risk and longevity: a multiomics approach” ($993,828)

主持 2022 – 2023 AHA Postdoctoral Fellowship “Multi-omics analysis of healthy and unhealthy plant-based diets in relation to cardiometabolic health” ($137,604)

代表著作

1. Wang F, Glenn AJ, Tessier AJ, et al., Integration of epidemiological and blood biomarker analysis links haem iron intake to increased type 2 diabetes risk. Nat Metab. 2024;6(9):1807-1818.

2. Mei Z*, Wang F*, Bhosle A, et al., Strain-specific gut microbial signatures in type 2 diabetes identified in a cross-cohort analysis of 8,117 metagenomes. Nat Med. 2024;30:2265-2276. (*contributed equally)

3. Wang F, Tessier AJ, Liang L, et al., Plasma metabolomic profiles associated with mortality and longevity in a prospective analysis of 13,512 individuals. Nat Commun. 2023;14(1):5744.

4. Shan Z*, Wang F*, Li Y, et al., Healthy eating patterns and risk of total and cause-specific mortality. JAMA Intern Med. 2023;183(2):142-153. (*contributed equally)

5. Wang F*, Tomotaka U*, Haruki K*, Wan Y*, et al., Healthy and unhealthy plant‐based diets in relation to the incidence of colorectal cancer overall and by molecular subtypes. Clin Transl Med. 2022;12:e.893. (*contributed equally)

6. Wang F, Chandler PD, Zeleznik OA, et al., Plasma metabolite profiles of red meat, poultry, and fish consumption, and their associations with colorectal cancer risk. Nutrients. 2022;14:978.

7. Li Y*, Wang F*, Li J, et al., Dietary lignans, plasma enterolactone levels, and metabolic risk in men: exploring the role of the gut microbiome. BMC Microbiol. 2022;1:1-13. (*contributed equally)

8. Wang F*, Baden MY*, Guash-Ferré M, et al., Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes. Diabetologia. 2022;65:1119-1132. (*contributed equally)

9. Wang F, Wu K, Li Y, et al. Association of folate intake and colorectal cancer risk in the postfortification era in US women. Am J Clin Nutr. 2021;114:49-58.

10. Wang F*, Wan Y*, Yin K, et al. Lower circulating branched‐chain amino acid concentrations among vegetarians are associated with changes in gut microbial composition and function. Mol Nutr Food Res. 2019;63:1900612. (*contributed equally)

11. Wan Y*, Wang F*, Yuan J, et al. Effects of dietary fat on gut microbiota and faecal metabolites, and their relationship with cardiometabolic risk factors: a 6-month randomised controlled-feeding trial. Gut. 2019;68:14171429. (*contributed equally)

12. Wan Y*, Wang F*, Yuan J, et al. Effects of macronutrient distribution on weight and related cardiometabolic profile in healthy non-obese Chinese: a 6-month, randomized controlled-feeding trial. EBioMedicine. 2017;22:200-207. (*contributed equally)

13. Wang F, Liu H, Wan Y, et al. Age of complementary foods introduction and risk of anemia in children aged 4–6 years: A prospective birth cohort in China. Sci Rep. 2017;7:44726.

14. Wang F, Liu H, Wan Y, et al. Sleep duration and overweight/obesity in preschool-aged children: a prospective study of up to 48,922 children of the Jiaxing birth cohort. Sleep. 2016;39:2013-2019.

15. Wang F, Liu H, Wan Y, et al. Prolonged exclusive breastfeeding duration is positively associated with risk of anemia in infants aged 12 months. J Nutr. 2016;146:1707-1713.

16. Wang F, Fu Y, Cai W, et al. Anti-inflammatory activity and mechanisms of a lipid extract from hard-shelled mussel (Mytilus coruscus) in mice with dextran sulphate sodium-induced colitis. J Funct Foods. 2016;23:389-399.

17. Wang F, Zheng J, Yang B, et al. Effects of vegetarian diets on blood lipids: a systematic review and meta‐analysis of randomized controlled trials. J Am Heart Assoc. 2015 Oct 27;4(10):e002408.

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