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Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma.

Publication ,  Journal Article
Benson, MD; Eisman, AS; Tahir, UA; Katz, DH; Deng, S; Ngo, D; Robbins, JM; Hofmann, A; Shi, X; Zheng, S; Keyes, M; Yu, Z; Gao, Y; Farrell, L ...
Published in: Cell Metab
September 5, 2023

Although many novel gene-metabolite and gene-protein associations have been identified using high-throughput biochemical profiling, systematic studies that leverage human genetics to illuminate causal relationships between circulating proteins and metabolites are lacking. Here, we performed protein-metabolite association studies in 3,626 plasma samples from three human cohorts. We detected 171,800 significant protein-metabolite pairwise correlations between 1,265 proteins and 365 metabolites, including established relationships in metabolic and signaling pathways such as the protein thyroxine-binding globulin and the metabolite thyroxine, as well as thousands of new findings. In Mendelian randomization (MR) analyses, we identified putative causal protein-to-metabolite associations. We experimentally validated top MR associations in proof-of-concept plasma metabolomics studies in three murine knockout strains of key protein regulators. These analyses identified previously unrecognized associations between bioactive proteins and metabolites in human plasma. We provide publicly available data to be leveraged for studies in human metabolism and disease.

Duke Scholars

Published In

Cell Metab

DOI

EISSN

1932-7420

Publication Date

September 5, 2023

Volume

35

Issue

9

Start / End Page

1646 / 1660.e3

Location

United States

Related Subject Headings

  • Signal Transduction
  • Proteomics
  • Polymorphism, Single Nucleotide
  • Mice
  • Metabolomics
  • Humans
  • Genome-Wide Association Study
  • Endocrinology & Metabolism
  • Animals
  • 3205 Medical biochemistry and metabolomics
 

Citation

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MLA
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Benson, M. D., Eisman, A. S., Tahir, U. A., Katz, D. H., Deng, S., Ngo, D., … Gerszten, R. E. (2023). Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma. Cell Metab, 35(9), 1646-1660.e3. https://doi.org/10.1016/j.cmet.2023.07.012
Benson, Mark D., Aaron S. Eisman, Usman A. Tahir, Daniel H. Katz, Shuliang Deng, Debby Ngo, Jeremy M. Robbins, et al. “Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma.Cell Metab 35, no. 9 (September 5, 2023): 1646-1660.e3. https://doi.org/10.1016/j.cmet.2023.07.012.
Benson MD, Eisman AS, Tahir UA, Katz DH, Deng S, Ngo D, et al. Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma. Cell Metab. 2023 Sep 5;35(9):1646-1660.e3.
Benson, Mark D., et al. “Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma.Cell Metab, vol. 35, no. 9, Sept. 2023, pp. 1646-1660.e3. Pubmed, doi:10.1016/j.cmet.2023.07.012.
Benson MD, Eisman AS, Tahir UA, Katz DH, Deng S, Ngo D, Robbins JM, Hofmann A, Shi X, Zheng S, Keyes M, Yu Z, Gao Y, Farrell L, Shen D, Chen Z-Z, Cruz DE, Sims M, Correa A, Tracy RP, Durda P, Taylor KD, Liu Y, Johnson WC, Guo X, Yao J, Chen Y-DI, Manichaikul AW, Jain D, Yang Q, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Bouchard C, Sarzynski MA, Rich SS, Rotter JI, Wang TJ, Wilson JG, Clish CB, Sarkar IN, Natarajan P, Gerszten RE. Protein-metabolite association studies identify novel proteomic determinants of metabolite levels in human plasma. Cell Metab. 2023 Sep 5;35(9):1646-1660.e3.
Journal cover image

Published In

Cell Metab

DOI

EISSN

1932-7420

Publication Date

September 5, 2023

Volume

35

Issue

9

Start / End Page

1646 / 1660.e3

Location

United States

Related Subject Headings

  • Signal Transduction
  • Proteomics
  • Polymorphism, Single Nucleotide
  • Mice
  • Metabolomics
  • Humans
  • Genome-Wide Association Study
  • Endocrinology & Metabolism
  • Animals
  • 3205 Medical biochemistry and metabolomics