Research

Hormonal

Plasma proteome profiling can identify specific protein panels that correlate with insulin resistance (HOMA-IR) and BMI better than or equal to traditional markers like adiponectin, allowing for the identification of high metabolic burden subgroups.

Current clinical markers may not fully capture metabolic risk. Proteomic profiling can identify specific protein panels that correlate better with insulin resistance and BMI than traditional markers like adiponectin. This suggests that future diagnostic tools may use these panels to more accurately identify individuals with high metabolic burden and tailor interventions accordingly.

GoodSupportsHIGH confidence
Remarkably, of all proteins in our dataset, the five proteins most significantly correlating with BMI were inflammation factors... Nearly 40 plasma proteins correlated significantly with HOMA-IR... remarkably nine plasma proteins were even more significant [than adiponectin].
Philipp E. Geyer et al. · Molecular Systems Biology · 2016

Why this rating

High-quality proteomics data, strong correlations, but observational in nature regarding the markers.

Source

Proteomics reveals the effects of sustained weight loss on the human plasma proteome

Philipp E. Geyer et al. · Molecular Systems Biology · 2016

DOI 10.15252/msb.20167357

cohort · n=52Cited 261×
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DOI resolved against Crossref · corpus check 2026-06-10

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