Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes

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Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes. / Wang, Fenglei; Baden, Megu Y; Guasch-Ferré, Marta; Wittenbecher, Clemens; Li, Jun; Li, Yanping; Wan, Yi; Bhupathiraju, Shilpa N; Tobias, Deirdre K; Clish, Clary B; Mucci, Lorelei A; Eliassen, A Heather; Costenbader, Karen H; Karlson, Elizabeth W; Ascherio, Alberto; Rimm, Eric B; Manson, JoAnn E; Liang, Liming; Hu, Frank B.

In: Diabetologia, Vol. 65, No. 7, 2022, p. 1119-1132.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Wang, F, Baden, MY, Guasch-Ferré, M, Wittenbecher, C, Li, J, Li, Y, Wan, Y, Bhupathiraju, SN, Tobias, DK, Clish, CB, Mucci, LA, Eliassen, AH, Costenbader, KH, Karlson, EW, Ascherio, A, Rimm, EB, Manson, JE, Liang, L & Hu, FB 2022, 'Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes', Diabetologia, vol. 65, no. 7, pp. 1119-1132. https://doi.org/10.1007/s00125-022-05692-8

APA

Wang, F., Baden, M. Y., Guasch-Ferré, M., Wittenbecher, C., Li, J., Li, Y., Wan, Y., Bhupathiraju, S. N., Tobias, D. K., Clish, C. B., Mucci, L. A., Eliassen, A. H., Costenbader, K. H., Karlson, E. W., Ascherio, A., Rimm, E. B., Manson, J. E., Liang, L., & Hu, F. B. (2022). Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes. Diabetologia, 65(7), 1119-1132. https://doi.org/10.1007/s00125-022-05692-8

Vancouver

Wang F, Baden MY, Guasch-Ferré M, Wittenbecher C, Li J, Li Y et al. Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes. Diabetologia. 2022;65(7):1119-1132. https://doi.org/10.1007/s00125-022-05692-8

Author

Wang, Fenglei ; Baden, Megu Y ; Guasch-Ferré, Marta ; Wittenbecher, Clemens ; Li, Jun ; Li, Yanping ; Wan, Yi ; Bhupathiraju, Shilpa N ; Tobias, Deirdre K ; Clish, Clary B ; Mucci, Lorelei A ; Eliassen, A Heather ; Costenbader, Karen H ; Karlson, Elizabeth W ; Ascherio, Alberto ; Rimm, Eric B ; Manson, JoAnn E ; Liang, Liming ; Hu, Frank B. / Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes. In: Diabetologia. 2022 ; Vol. 65, No. 7. pp. 1119-1132.

Bibtex

@article{9c50e01d6bf448f7b01ca5a473aee8b1,
title = "Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes",
abstract = "AIMS/HYPOTHESIS: Plant-based diets, especially when rich in healthy plant foods, have been associated with a lower risk of type 2 diabetes. However, whether plasma metabolite profiles related to plant-based diets reflect this association was unknown. The aim of this study was to identify the plasma metabolite profiles related to plant-based diets, and to evaluate the associations between the identified metabolite profiles and the risk of type 2 diabetes.METHODS: Within three prospective cohorts (Nurses' Health Study, Nurses' Health Study II and Health Professionals Follow-up Study), we measured plasma metabolites from 10,684 participants using high-throughput LC MS. Adherence to plant-based diets was assessed by three indices derived from the food frequency questionnaire: an overall Plant-based Diet Index (PDI), a Healthy Plant-based Diet Index (hPDI), and an Unhealthy Plant-based Diet Index (uPDI). Multi-metabolite profiles related to plant-based diet were identified using elastic net regression with a training/testing approach. The prospective associations between metabolite profiles and incident type 2 diabetes were evaluated using multivariable Cox proportional hazards regression. Metabolites potentially mediating the association between plant-based diets and type 2 diabetes risk were further identified.RESULTS: We identified multi-metabolite profiles comprising 55 metabolites for PDI, 93 metabolites for hPDI and 75 metabolites for uPDI. Metabolite profile scores based on the identified metabolite profiles were correlated with the corresponding diet index (Pearson r = 0.33-0.35 for PDI, 0.41-0.45 for hPDI, and 0.37-0.38 for uPDI, all p<0.001). Metabolite profile scores of PDI (HR per 1 SD higher = 0.81 [95% CI 0.75, 0.88]) and hPDI (HR per 1 SD higher = 0.77 [95% CI 0.71, 0.84]) showed an inverse association with incident type 2 diabetes, whereas the metabolite profile score for uPDI was not associated with the risk. Mutual adjustment for metabolites selected in the metabolite profiles, including trigonelline, hippurate, isoleucine and a subset of triacylglycerols, attenuated the associations of diet indices PDI and hPDI with lower type 2 diabetes risk. The explainable proportion of PDI/hPDI-related diabetes risk by these metabolites ranged between 8.5% and 37.2% (all p<0.05).CONCLUSIONS/INTERPRETATION: Plasma metabolite profiles related to plant-based diets, especially a healthy plant-based diet, were associated with a lower risk of type 2 diabetes among a generally healthy population. Our findings support the beneficial role of healthy plant-based diets in diabetes prevention and provide new insights for future investigation.",
keywords = "Diabetes Mellitus, Type 2/epidemiology, Diet, Diet, Vegetarian, Follow-Up Studies, Humans, Prospective Studies",
author = "Fenglei Wang and Baden, {Megu Y} and Marta Guasch-Ferr{\'e} and Clemens Wittenbecher and Jun Li and Yanping Li and Yi Wan and Bhupathiraju, {Shilpa N} and Tobias, {Deirdre K} and Clish, {Clary B} and Mucci, {Lorelei A} and Eliassen, {A Heather} and Costenbader, {Karen H} and Karlson, {Elizabeth W} and Alberto Ascherio and Rimm, {Eric B} and Manson, {JoAnn E} and Liming Liang and Hu, {Frank B}",
note = "{\textcopyright} 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.",
year = "2022",
doi = "10.1007/s00125-022-05692-8",
language = "English",
volume = "65",
pages = "1119--1132",
journal = "Diabetologia",
issn = "0012-186X",
publisher = "Springer",
number = "7",

}

RIS

TY - JOUR

T1 - Plasma metabolite profiles related to plant-based diets and the risk of type 2 diabetes

AU - Wang, Fenglei

AU - Baden, Megu Y

AU - Guasch-Ferré, Marta

AU - Wittenbecher, Clemens

AU - Li, Jun

AU - Li, Yanping

AU - Wan, Yi

AU - Bhupathiraju, Shilpa N

AU - Tobias, Deirdre K

AU - Clish, Clary B

AU - Mucci, Lorelei A

AU - Eliassen, A Heather

AU - Costenbader, Karen H

AU - Karlson, Elizabeth W

AU - Ascherio, Alberto

AU - Rimm, Eric B

AU - Manson, JoAnn E

AU - Liang, Liming

AU - Hu, Frank B

N1 - © 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

PY - 2022

Y1 - 2022

N2 - AIMS/HYPOTHESIS: Plant-based diets, especially when rich in healthy plant foods, have been associated with a lower risk of type 2 diabetes. However, whether plasma metabolite profiles related to plant-based diets reflect this association was unknown. The aim of this study was to identify the plasma metabolite profiles related to plant-based diets, and to evaluate the associations between the identified metabolite profiles and the risk of type 2 diabetes.METHODS: Within three prospective cohorts (Nurses' Health Study, Nurses' Health Study II and Health Professionals Follow-up Study), we measured plasma metabolites from 10,684 participants using high-throughput LC MS. Adherence to plant-based diets was assessed by three indices derived from the food frequency questionnaire: an overall Plant-based Diet Index (PDI), a Healthy Plant-based Diet Index (hPDI), and an Unhealthy Plant-based Diet Index (uPDI). Multi-metabolite profiles related to plant-based diet were identified using elastic net regression with a training/testing approach. The prospective associations between metabolite profiles and incident type 2 diabetes were evaluated using multivariable Cox proportional hazards regression. Metabolites potentially mediating the association between plant-based diets and type 2 diabetes risk were further identified.RESULTS: We identified multi-metabolite profiles comprising 55 metabolites for PDI, 93 metabolites for hPDI and 75 metabolites for uPDI. Metabolite profile scores based on the identified metabolite profiles were correlated with the corresponding diet index (Pearson r = 0.33-0.35 for PDI, 0.41-0.45 for hPDI, and 0.37-0.38 for uPDI, all p<0.001). Metabolite profile scores of PDI (HR per 1 SD higher = 0.81 [95% CI 0.75, 0.88]) and hPDI (HR per 1 SD higher = 0.77 [95% CI 0.71, 0.84]) showed an inverse association with incident type 2 diabetes, whereas the metabolite profile score for uPDI was not associated with the risk. Mutual adjustment for metabolites selected in the metabolite profiles, including trigonelline, hippurate, isoleucine and a subset of triacylglycerols, attenuated the associations of diet indices PDI and hPDI with lower type 2 diabetes risk. The explainable proportion of PDI/hPDI-related diabetes risk by these metabolites ranged between 8.5% and 37.2% (all p<0.05).CONCLUSIONS/INTERPRETATION: Plasma metabolite profiles related to plant-based diets, especially a healthy plant-based diet, were associated with a lower risk of type 2 diabetes among a generally healthy population. Our findings support the beneficial role of healthy plant-based diets in diabetes prevention and provide new insights for future investigation.

AB - AIMS/HYPOTHESIS: Plant-based diets, especially when rich in healthy plant foods, have been associated with a lower risk of type 2 diabetes. However, whether plasma metabolite profiles related to plant-based diets reflect this association was unknown. The aim of this study was to identify the plasma metabolite profiles related to plant-based diets, and to evaluate the associations between the identified metabolite profiles and the risk of type 2 diabetes.METHODS: Within three prospective cohorts (Nurses' Health Study, Nurses' Health Study II and Health Professionals Follow-up Study), we measured plasma metabolites from 10,684 participants using high-throughput LC MS. Adherence to plant-based diets was assessed by three indices derived from the food frequency questionnaire: an overall Plant-based Diet Index (PDI), a Healthy Plant-based Diet Index (hPDI), and an Unhealthy Plant-based Diet Index (uPDI). Multi-metabolite profiles related to plant-based diet were identified using elastic net regression with a training/testing approach. The prospective associations between metabolite profiles and incident type 2 diabetes were evaluated using multivariable Cox proportional hazards regression. Metabolites potentially mediating the association between plant-based diets and type 2 diabetes risk were further identified.RESULTS: We identified multi-metabolite profiles comprising 55 metabolites for PDI, 93 metabolites for hPDI and 75 metabolites for uPDI. Metabolite profile scores based on the identified metabolite profiles were correlated with the corresponding diet index (Pearson r = 0.33-0.35 for PDI, 0.41-0.45 for hPDI, and 0.37-0.38 for uPDI, all p<0.001). Metabolite profile scores of PDI (HR per 1 SD higher = 0.81 [95% CI 0.75, 0.88]) and hPDI (HR per 1 SD higher = 0.77 [95% CI 0.71, 0.84]) showed an inverse association with incident type 2 diabetes, whereas the metabolite profile score for uPDI was not associated with the risk. Mutual adjustment for metabolites selected in the metabolite profiles, including trigonelline, hippurate, isoleucine and a subset of triacylglycerols, attenuated the associations of diet indices PDI and hPDI with lower type 2 diabetes risk. The explainable proportion of PDI/hPDI-related diabetes risk by these metabolites ranged between 8.5% and 37.2% (all p<0.05).CONCLUSIONS/INTERPRETATION: Plasma metabolite profiles related to plant-based diets, especially a healthy plant-based diet, were associated with a lower risk of type 2 diabetes among a generally healthy population. Our findings support the beneficial role of healthy plant-based diets in diabetes prevention and provide new insights for future investigation.

KW - Diabetes Mellitus, Type 2/epidemiology

KW - Diet

KW - Diet, Vegetarian

KW - Follow-Up Studies

KW - Humans

KW - Prospective Studies

U2 - 10.1007/s00125-022-05692-8

DO - 10.1007/s00125-022-05692-8

M3 - Journal article

C2 - 35391539

VL - 65

SP - 1119

EP - 1132

JO - Diabetologia

JF - Diabetologia

SN - 0012-186X

IS - 7

ER -

ID: 347808698