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Pregled bibliografske jedinice broj: 1273924

Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies


Louca, Panayiotis; Nogal, Ana; Moskal, Aurélie; Goulding, Neil J.; Shipley, Martin J.; Alkis, Taryn; Lindbohm, Joni V.; Hu, Jie; Kifer, Domagoj; Wang, Ni et al.
Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies // Metabolites, 12 (2022), 7; 601, 14 doi:10.3390/metabo12070601 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1273924 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies

Autori
Louca, Panayiotis ; Nogal, Ana ; Moskal, Aurélie ; Goulding, Neil J. ; Shipley, Martin J. ; Alkis, Taryn ; Lindbohm, Joni V. ; Hu, Jie ; Kifer, Domagoj ; Wang, Ni ; Chawes, Bo ; Rexrode, Kathryn M. ; Ben- Shlomo, Yoav ; Kivimaki, Mika ; Murphy, Rachel A. ; Yu, Bing ; Gunter, Marc J. ; Suhre, Karsten ; Lawlor, Deborah A. ; Mangino, Massimo ; Menni, Cristina

Izvornik
Metabolites (2218-1989) 12 (2022), 7; 601, 14

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
hypertension ; metabolite ; markers

Sažetak
Hypertension is the main modifiable risk factor for cardiovascular morbidity and mortality but discovering molecular mechanisms for targeted treatment has been challenging. Here we investigate associations of blood metabolite markers with hypertension by integrating data from nine intercontinental cohorts from the COnsortium of METabolomics Studies. We included 44, 306 individuals with circulating metabolites (up to 813). Metabolites were aligned and inverse normalised to allow intra-platform comparison. Logistic models adjusting for covariates were performed in each cohort and results were combined using random-effect inverse-variance meta-analyses adjusting for multiple testing. We further conducted canonical pathway analysis to investigate the pathways underlying the hypertension-associated metabolites. In 12, 479 hypertensive cases and 31, 827 controls without renal impairment, we identified 38 metabolites, associated with hypertension after adjusting for age, sex, body mass index, ethnicity, and multiple testing. Of these, 32 metabolite associations, predominantly lipid (steroids and fatty acyls) and organic acids (amino-, hydroxy-, and keto-acids) remained after further adjusting for comorbidities and dietary intake. Among the identified metabolites, 5 were novel, including 2 bile acids, 2 glycerophospholipids, and ketoleucine. Pathway analysis further implicates the role of the amino- acids, serine/glycine, and bile acids in hypertension regulation. In the largest cross- sectional hypertension-metabolomics study to date, we identify 32 circulating metabolites (of which 5 novel and 27 confirmed) that are potentially actionable targets for intervention. Further in- vivo studies are needed to identify their specific role in the aetiology or progression of hypertension.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Temeljne medicinske znanosti, Kliničke medicinske znanosti



POVEZANOST RADA


Ustanove:
Farmaceutsko-biokemijski fakultet, Zagreb

Profili:

Avatar Url Domagoj Kifer (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Louca, Panayiotis; Nogal, Ana; Moskal, Aurélie; Goulding, Neil J.; Shipley, Martin J.; Alkis, Taryn; Lindbohm, Joni V.; Hu, Jie; Kifer, Domagoj; Wang, Ni et al.
Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies // Metabolites, 12 (2022), 7; 601, 14 doi:10.3390/metabo12070601 (međunarodna recenzija, članak, znanstveni)
Louca, P., Nogal, A., Moskal, A., Goulding, N., Shipley, M., Alkis, T., Lindbohm, J., Hu, J., Kifer, D. & Wang, N. (2022) Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies. Metabolites, 12 (7), 601, 14 doi:10.3390/metabo12070601.
@article{article, author = {Louca, Panayiotis and Nogal, Ana and Moskal, Aur\'{e}lie and Goulding, Neil J. and Shipley, Martin J. and Alkis, Taryn and Lindbohm, Joni V. and Hu, Jie and Kifer, Domagoj and Wang, Ni and Chawes, Bo and Rexrode, Kathryn M. and Ben- Shlomo, Yoav and Kivimaki, Mika and Murphy, Rachel A. and Yu, Bing and Gunter, Marc J. and Suhre, Karsten and Lawlor, Deborah A. and Mangino, Massimo and Menni, Cristina}, year = {2022}, pages = {14}, DOI = {10.3390/metabo12070601}, chapter = {601}, keywords = {hypertension, metabolite, markers}, journal = {Metabolites}, doi = {10.3390/metabo12070601}, volume = {12}, number = {7}, issn = {2218-1989}, title = {Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies}, keyword = {hypertension, metabolite, markers}, chapternumber = {601} }
@article{article, author = {Louca, Panayiotis and Nogal, Ana and Moskal, Aur\'{e}lie and Goulding, Neil J. and Shipley, Martin J. and Alkis, Taryn and Lindbohm, Joni V. and Hu, Jie and Kifer, Domagoj and Wang, Ni and Chawes, Bo and Rexrode, Kathryn M. and Ben- Shlomo, Yoav and Kivimaki, Mika and Murphy, Rachel A. and Yu, Bing and Gunter, Marc J. and Suhre, Karsten and Lawlor, Deborah A. and Mangino, Massimo and Menni, Cristina}, year = {2022}, pages = {14}, DOI = {10.3390/metabo12070601}, chapter = {601}, keywords = {hypertension, metabolite, markers}, journal = {Metabolites}, doi = {10.3390/metabo12070601}, volume = {12}, number = {7}, issn = {2218-1989}, title = {Cross-Sectional Blood Metabolite Markers of Hypertension: A Multicohort Analysis of 44,306 Individuals from the COnsortium of METabolomics Studies}, keyword = {hypertension, metabolite, markers}, chapternumber = {601} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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