For a full list of ZhengLab's publication, pleace click Google Scholar |PubMed.

(# Equal contribution, * Corresponding authors)



    2023

  1. Gou W#, Miao Z#, Deng K#, Zheng JS*. Nutri-microbiome epidemiology, an emerging field to disentangle the interplay between nutrition and microbiome for human health. Protein&Cell. 2023.
  2. Liang X#, Fu Y#, Lu S, Shuai M, Miao Z, Gou W, ..., Hu WS*, Zheng JS*. Continuous glucose monitoring-derived glycemic metrics and adverse pregnancy outcomes among women with gestational diabetes: a prospective cohort study. The Lancet Regional Health–Western Pacific. 2023.
  3. Zheng JS. Mapping the Chinese microbiome: it's time for a united effort. Nature. 2023.
  4. Miao Z#, Zeng F#, Tian Y, Xiao C, Yan Y, Jiang Z,...,Chen YM*, Zheng JS*. Furan fatty acid metabolite CMPF was associated with lower risk of type 2 diabetes, but not chronic kidney disease: A longitudinal population-based cohort study. American Journal of Clinical Nutrition. 2023.
  5. Jia J#, Shuai M#, Yan W, Tang Q, Wang B, Tang W, ..., Fu Y*, Cai W*, Zheng JS. Conserved covarying gut microbial network in preterm infants and childhood growth during the first 5 years of life: a prospective cohort study. American Journal of Clinical Nutrition. 2023.
  6. Liang X, Miao Z, Lu S, Ye M, Wang J, Zhao H, Xiao C, Shuai M, Gou W, Liang Y, Xu F, Shi M, Wu Y, Wang X, Cai F, Xu M, Fu Y, Hu W*, Zheng JS*. Integration of multiomics with precision nutrition for gestational diabetes: Study protocol for the Westlake Precision Birth Cohort. iMeta. 2023.
  7. Tian Y, Gou W, Ma Y, Shuai M, Liang X, Fu Y*, Zheng JS*. The Short-Term Variation of Human Gut Mycobiome in Response to Dietary Intervention of Different Macronutrient Distributions. Nutrients. 2023.
  8. Xu F, Yu EY, Cai X, Yue L, Jing LP, Liang X, Fu Y, Miao Z, Yang M, Shuai M, Gou W, Xiao C, Xue Z, Xie Y, Li S, Lu S, Shi M, Wang X, Hu W, Langenberg C, Yang J, Chen YM*, Guo T*, Zheng JS*. Genome-wide genotype-serum proteome mapping provides insights into the cross-ancestry differences in cardiometabolic disease susceptibility. Nature Communications. 2023.
  9. Deng K, Xu JJ, Shen L, Zhao H, Gou W, Xu F, Fu Y, Jiang Z, Shuai M, Li BY, Hu W, Zheng JS*, Chen YM*. Comparison of fecal and blood metabolome reveals inconsistent associations of the gut microbiota with cardiometabolic diseases. Nature Communications. 2023.


    2022

  1. Liang X#, Fu Y#, Cao WT#, Wang Z#, Zhang K, Jiang Z, Jia X, Liu CY, Lin HR, Zhong H, Miao Z, Gou W, Shuai M, Huang Y, Chen S*, Zhang B*, Chen YM*, Zheng JS*. Gut microbiome, cognitive function and brain structure: a multi-omics integration analysis. Translational Neurodegeneration. 2022.
  2. Gou W, Chen YM, Pan A, Wang HJ, Zhang K, Pan XF, He Y, Fu YQ, Jiang ZL, Miao ZL, Su C, Zhang JG, Hu WS, Zeng FF, Ma WJ, Cheng G, Zhu YM, Zhou HW, Zhang B, Zheng JS*. Westlake Gut Project: A consortium of microbiome epidemiology for the gut microbiome and health research in China. Medicine in Microecology. 2022.
  3. Wu YY, Gou W, Yan Y, Liu CY, Yang Y, Chen D, Xie K, Jiang Z, Fu Y, Zhu HL, Zheng JS*, Chen YM*. Gut microbiota and acylcarnitine metabolites connect the beneficial association between equol and adiposity in adults: a prospective cohort study. American Journal of Clinical Nutrition. 2022.
  4. Xiao C, Wang JT, Su C, Miao Z, Tang J, Ouyang Y, Yan Y, Jiang Z, Fu Y, Shuai M, Gou W, Xu F, Yu EY, Liang Y, Liang X, Tian Y, Wang J, Huang F, Zhang B, Wang H, Chen YM*, Zheng JS*. Associations of dietary diversity with the gut microbiome, fecal metabolites, and host metabolism: results from 2 prospective Chinese cohorts. American Journal of Clinical Nutrition. 2022.
  5. Miao Z#, Chen GD#, Huo S#, Fu Y#, Wu MY, Xu F, Jiang Z, Tang J, Gou W, Xiao C, Liu YP, Wu YY, Sun TY, Sun L, Shen LR, Lin X*, Chen YM*, Zheng JS*. Interaction of n-3 polyunsaturated fatty acids with host CD36 genetic variant for gut microbiome and blood lipids in human cohorts. Clinical Nutrition. 2022.
  6. Tang J, Gou W, Fu Y, Li K, Guo X, Huang T, Liu H*, Li D*, Zheng JS*. Association Between Postterm Pregnancy and Adverse Growth Outcomes in Preschool-Aged Children. American Journal of Clinical Nutrition. 2022.
  7. Miao Z#, Du W#, Xiao C#, Su C, Gou W, Shen L, Zhang J, Fu Y, Jiang Z, Wang Z, Jia X, Zheng JS*, Wang H*. Gut microbiota signatures of long-term and short-term plant-based dietary pattern and cardiometabolic health: a prospective cohort study. BMC Medicine. 2022.
  8. Jiang Z#, Zhuo LB#, He Y#, Fu Y, Shen L, Xu F, Gou W, Miao Z, Shuai M, Liang Y, Xiao C, Liang X, Tian Y, Wang J, Tang J, Deng K, Zhou H*, Chen YM*, Zheng JS*. The gut microbiota-bile acid axis links the positive association between chronic insomnia and cardiometabolic diseases. Nature Communications. 2022.
  9. Deng K, Shuai M, Zhang M, Jiang Z, Fu Y, Shen L, Zheng JS*, Chen YM*. Temporal relationship among adiposity, gut microbiota, and insulin resistance in a longitudinal human cohort. BMC Medicine. 2022.
  10. Wang H, Gou W, Su C, Du W, Zhang J, Miao Z, Xiao C, Jiang Z, Wang Z, Fu Y, Jia X, Ouyang Y, Jiang H, Huang F, Li L, Zhang B*, Zheng JS*. Association of gut microbiota with glycaemic traits and incident type 2 diabetes, and modulation by habitual diet: a population-based longitudinal cohort study in Chinese adults. Diabetologia. 2022.
  11. Shuai M#, Fu Y#, Zhong HL#, Gou W, Jiang Z, Liang Y, Miao Z, Xu JJ, Huynh T, Wahlqvist ML*, Chen YM*, Zheng JS*. Mapping the human gut mycobiome in middle-aged and elderly adults: multiomics insights and implications for host metabolic health. Gut. 2022.
  12. Shuai, M, Zhang G, Zeng F, Fu Y, Liang X, Yuan L, Xu F, Gou W, Miao Z, Jiang Z, Wang J, Zhuo L, Chen YM*, Ju F*, Zheng JS*. Human Gut Antibiotic Resistome and Progression of Diabetes. Advanced science. 2022.
  13. Gou W#, Yue L#, Tang XY#, Wu YY, Cai X, Shuai M, Miao Z, Fu Y, Chen H, Jiang Z, Wang J, Tian Y, Xiao C, Xiang N, Wu Z, Chen YM*, Guo T*, Zheng JS*. Circulating proteome and progression of type 2 diabetes. The Journal of Clinical Endocrinology and Metabolism. 2022.


    2021

  1. Zheng JS*, Ordovás JM. Precision nutrition for gut microbiome and diabetes research: Application of nutritional n-of-1 clinical trials. Journal Of Diabetes. 2021.
  2. Gou W#, Fu Y#, Yue L#, Chen GD#, Cai X#, Shuai M#, Xu F#, Yi X, Chen H, Zhu Y, Xiao ML, Jiang Z, Miao Z, Xiao C, Shen B, Wu X, Zhao H, Ling W, Wang J*, Chen YM*, Guo T*, Zheng JS*. Gut microbiota, inflammation, and molecular signatures of host response to infection. Journal of Genetics and Genomics. 2021.
  3. Ma Y#, Fu Y#, Tian Y#, Gou W, Miao Z, Yang M, Ordovás JM, Zheng JS*. Individual postprandial glycemic responses to diet in n-of-1 trials: Westlake N-of-1 Trials for Macronutrient Intake (WE-MACNUTR). Journal Of Nutrition. 2021.
  4. Fu Y#, Xu F#, Jiang L, Miao Z, Liang X, Yang J, Larsson SC, Zheng JS*. Circulating vitamin C concentration and risk of cancers: a Mendelian randomization study. BMC Medicine. 2021.
  5. Shuai M#, Zuo LS#, Miao Z, Gou W, Xu F, Jiang Z, Ling CW, Fu Y, Xiong F, Chen YM*, Zheng JS*. Multi-omics analyses reveal relationships among dairy consumption, gut microbiota and cardiometabolic health. EBioMedicine. 2021.
  6. Gou W, Ling CW, He Y, Jiang Z, Fu Y, Xu F, Miao Z, Sun TY, Lin JS, Zhu HL, Zhou H, Chen YM*, Zheng JS*. Interpretable machine learning framework reveals robust gut microbiome features associated with type 2 diabetes. Diabetes Care. 2021.
  7. Zheng JS, Luan J, Sofianopoulou E, ...(37 co-authors)..., Forouhi NG*, Wareham NJ*. Plasma Vitamin C and Type 2 Diabetes: Genome-Wide Association Study and Mendelian Randomization Analysis in European Populations. Diabetes Care. 2021.


    2020

  1. Miao Z, Lin JS, Mao Y, Chen GD, Zeng FF, Dong HL, Jiang Z, Wang J, Xiao C, Shuai M, Gou W, Fu Y, Imamura F, Chen YM*, Zheng JS*. Erythrocyte n-6 polyunsaturated fatty acids, gut microbiota, and incident type 2 diabetes: a prospective cohort study. Diabetes Care. 2020.
  2. Xu F#, Fu Y#, Sun TY, Jiang Z, Miao Z, Shuai M, Gou W, Ling CW, Yang J, Wang J*, Chen YM*, Zheng JS*. The interplay between host genetics and the gut microbiome reveals common and distinct microbiome features for complex human diseases. Microbiome. 2020.
  3. Jiang Z#, Sun TY#, He Y#, Gou W, Zuo LS, Fu Y, Miao Z, Shuai M, Xu F, Xiao C, Liang Y, Wang J, Xu Y, Jing LP, Ling W, Zhou H*, Chen YM*, Zheng JS*. Dietary fruit and vegetable intake, gut microbiota, and type 2 diabetes: results from two large human cohort studies. BMC Medicine. 2020.
  4. Fu Y#, Gou WL#, Hu WS#, Mao Y, Tian Y, Liang X, Guan Y, Huang T, Li K, Guo X, Liu H*, Li D*, Zheng JS*. Integration of an interpretable machine learning algorithm to identify early life risk factors of childhood obesity among preterm infants: a prospective birth cohort. BMC Medicine. 2020.
  5. Zheng JS, Luan J, Sofianopoulou E, ...(45 co-authors)..., Forouhi NG*, Wareham NJ*. The association between circulating 25-hydroxyvitamin D metabolites and type 2 diabetes in European populations: a meta-analysis and Mendelian randomisation analysis. PLoS Medicine. 2020.
  6. Zheng JS*, Wahlqvist ML. Regulobiosis: A regulatory and food system-sensitive role for fungal symbionts in human evolution and ecobiology. Asia Pacific Journal Of Clinical Nutrition. 2020.
  7. Zheng JS, Sharp SJ, Imamura F, ...(40 co-authors)..., Forouhi NG*, Wareham NJ*. Association of plasma biomarkers of fruit and vegetable intake with incident type 2 diabetes: EPIC-InterAct case-cohort study in eight European countries. British Medical Journal. 2020.
  8. Tang J, Wan Y, Zhao M, Zhong H, Zheng JS*, Feng F*. Legume and soy intake and risk of type 2 diabetes: a systematic review and meta-analysis of prospective cohort studies.American Journal of Clinical Nutrition. 2020.
  9. Tian Y, Ma Y, Fu Y, Zheng JS*. Application of n-of-1 Clinical Trials in Personalized Nutrition Research: A Trial Protocol for Westlake N-of-1 Trials for Macronutrient Intake (WE-MACNUTR). Current Developments in Nutrition. 2020.


    Before

  1. Zheng JS, Imamura F, Sharp SJ, Koulman A, Griffin JL, Mulligan AA, Luben R, Khaw KT, Wareham NJ, Forouhi NG*. Changes in plasma phospholipid fatty acid profiles over 13 years and correlates of change: European Prospective Investigation into Cancer and Nutrition-Norfolk Study. American Journal of Clinical Nutrition. 2019.
  2. Zheng JS, Imamura F, Sharp SJ, ...(34 co-authors)..., Forouhi NG*, Wareham NJ. Association of plasma vitamin D metabolites with incident type 2 diabetes: EPIC-InterAct case-cohort study. The Journal of Clinical Endocrinology and Metabolism. 2019.
  3. Zheng JS, Lin JS, Dong HL, Zeng FF, Li D, Song Y, Chen YM*. Association of erythrocyte n-3 polyunsaturated fatty acids with incident type 2 diabetes in a Chinese population. Clinical Nutrition. 2019.
  4. Zheng JS, Chen J, Wang L, Yang H, Fang L, Yu Y, Yuan L, Feng J, Li K, Tang J, Lin M, Lai CQ, Li D*. Replication of a gene-diet interaction at CD36, NOS3 and PPARG in response to omega-3 fatty acid supplements on blood lipids: a double-blind randomized controlled trial. EBioMedicine. 2018.
  5. Zheng JS, Sharp SJ, Imamura F, ...(40 co-authors)..., Forouhi NG*, Wareham NJ*. Association between plasma phospholipid saturated fatty acids and metabolic markers of lipid, hepatic, inflammation and glycaemic pathways in eight European countries: a cross-sectional analysis in the EPIC-InterAct study. BMC Medicine. 2017.
  6. Zheng JS, Liu H, Ong KK, Huang T, Guan Y, Huang Y, Yang B, Wang F, Li D*. Maternal Blood Pressure Rise During Pregnancy and Offspring Obesity Risk at 4 to 7 Years Old: The Jiaxing Birth Cohort. The Journal of Clinical Endocrinology and Metabolism.2017.
  7. Zheng JS, Lin M, Fang L, Yu Y, Yuan L, Jin Y, Feng J, Wang L, Yang H, Chen W, Li D, Tang J, Cai W, Shi M, Li Z, Wang F, Li D*. Effects of n-3 fatty acid supplements on glycemic traits in Chinese type 2 diabetic patients: A double-blind randomized controlled trial . Molecular Nutrition and Food Research. 2016.
  8. Zheng JS, Hu XJ, Zhao YM, Yang J, Li D*. Intake of fish and marine n-3 polyunsaturated fatty acids and risk of breast cancer: meta-analysis of data from 21 independent prospective cohort studies. British Medical Journal. 2013.
  9. Zheng JS, Arnett DK, Parnell LD, Smith CE, Li D, Borecki IB, Tucker KL, Ordovás JM, Lai CQ*. Modulation by dietary fat and carbohydrate of IRS1 association with type 2 diabetes traits in two populations of different ancestries. Diabetes Care. 2013.