Show Notes
Kjærgaard J et al., Cell - This episode reviews a study that links in vivo insulin sensitivity phenotyping with proteome and signaling-pathway mapping to define molecular-phenotype associations across heterogeneous populations. The paper emphasizes population heterogeneity and maps proteomic signatures to functional signaling pathways associated with insulin sensitivity. Key terms: population heterogeneity, insulin sensitivity, proteome mapping, signaling pathways, molecular-phenotype association.
Study Highlights:
The study performs in vivo insulin sensitivity phenotyping alongside proteome mapping and signaling pathway mapping to characterize molecular-phenotype associations. It highlights population heterogeneity as a central feature influencing phenotype–molecular links. The authors present maps connecting proteomic signatures and signaling pathways to variation in insulin sensitivity across cohorts.
Conclusion:
Proteome and signaling-pathway mapping integrated with in vivo insulin sensitivity phenotyping reveals molecular-phenotype associations and underscores population heterogeneity.
Music:
Enjoy the music based on this article at the end of the episode.
Article title:
Personalized molecular signatures of insulin resistance and type 2 diabetes
First author:
Kjærgaard J
Journal:
Cell
DOI:
10.1016/j.cell.2025.05.005
Reference:
Kjærgaard J., Stocks B., Henderson J., Freemantle J.B., Rizo-Roca D., Puglia M., et al.. Personalized molecular signatures of insulin resistance and type 2 diabetes. Cell, 188, 4106-4122.e16. (2025). https://doi.org/10.1016/j.cell.2025.05.005
License:
This episode is based on an open-access article published under the Creative Commons Attribution 4.0 International License (CC BY 4.0) – https://creativecommons.org/licenses/by/4.0/
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Episode link: https://basebybase.com/episodes/population-heterogeneity-insulin-proteome-signaling-mapping
QC:
This episode was checked against the original article PDF and publication metadata for the episode release published on 2025-06-11.
QC Scope:
- article metadata and core scientific claims from the narration
- excludes analogies, intro/outro, and music
- transcript coverage: Substantive audit of the transcript's core scientific narrative: insulin resistance in skeletal muscle, clamp methodology, proteomics/phosphoproteomics mapping, continuous molecular signatures vs binary labels, baseline proteome predictive power, LDHA/LDHB dynamics, S65 AMPK gamma3 phosphorylation, JNK-P38 stress signa
- transcript topics: Skeletal muscle insulin resistance paradox and continuous phenotype spectrum; Hyperinsulinemic-euglycemic clamp methodology and M value; DIA-based proteomics and phosphorylation mapping (proteome >3000 proteins; ~29000 phosphosites); Baseline (fasting) proteome as predictor of insulin sensitivity; LDHA/LDHB glycolytic vs oxidative enzyme balance; S65 phosphorylation on AMPK gamma 3 as a predictor and human-specific site; pig mutation context
QC Summary:
- factual score: 10/10
- metadata score: 10/10
- supported core claims: 6
- claims flagged for review: 0
- metadata checks passed: 4
- metadata issues found: 0
Metadata Audited:
- article_doi
- article_title
- article_journal
- license
Factual Items Audited:
- Discovery and validation cohorts: 77 and 46 participants respectively
- Hyperinsulinemic-euglycemic clamp used to measure insulin resistance; M value derived
- Continuous molecular spectrum that correlates with M value, not binary diabetic vs. healthy labels
- Baseline fasting muscle proteome predicts whole-body insulin sensitivity, outperforming HbA1c
- >3,000 distinct muscle proteins mapped; ~29,000 phosphorylation sites quantified
- LDHA/LDHB protein ratio correlates with insulin resistance (glycolytic vs oxidative bias)
QC result: Pass.
