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Daily Endocrinology Research Analysis

3 papers

Three impactful studies advance endocrine-metabolic science: (1) a human GR variant (rs6190) mechanistically elevates cholesterol and atherosclerosis via hepatic PCSK9/BHLHE40 with sex-specific effects; (2) periportal THRSP–MIF–CD74+ lipid-associated macrophage crosstalk drives MASH and is druggable with a small-molecule inhibitor; (3) a multimodal, explainable AI integrating fundus imaging and clinical data predicts 5‑year CKD risk in type 2 diabetes across binational cohorts.

Summary

Three impactful studies advance endocrine-metabolic science: (1) a human GR variant (rs6190) mechanistically elevates cholesterol and atherosclerosis via hepatic PCSK9/BHLHE40 with sex-specific effects; (2) periportal THRSP–MIF–CD74+ lipid-associated macrophage crosstalk drives MASH and is druggable with a small-molecule inhibitor; (3) a multimodal, explainable AI integrating fundus imaging and clinical data predicts 5‑year CKD risk in type 2 diabetes across binational cohorts.

Research Themes

  • Sex-specific genetic mechanisms driving dyslipidemia and atherosclerosis
  • Immunometabolic crosstalk and spatial zonation in fatty liver disease (MASLD/MASH)
  • Explainable multimodal AI for chronic kidney disease risk prediction in type 2 diabetes

Selected Articles

1. The human glucocorticoid receptor variant rs6190 increases blood cholesterol and promotes atherosclerosis.

85.5Level IICohortThe Journal of clinical investigation · 2025PMID: 40591411

A common GR coding variant (rs6190) elevates circulating cholesterol and atherosclerosis risk via hepatic transactivation of PCSK9 and BHLHE40, suppressing LDLR/HDLR. The effect shows sex specificity: attenuated by corticosterone/testosterone in males and additive with estrogen loss in females; mechanisms validate in CRISPR-edited human hepatocyte-like cells.

Impact: It uncovers a GR-dependent, targetable pathway linking a prevalent human variant to dyslipidemia and atherosclerosis with clear sex-specific biology, integrating human population data with mechanistic in vivo and in vitro validation.

Clinical Implications: Highlights PCSK9/BHLHE40 as mediators of GR-driven hypercholesterolemia, supporting intensified lipid-lowering (e.g., PCSK9 inhibition) in genetically at‑risk women and prompting consideration of sex hormones’ modulatory roles.

Key Findings

  • rs6190 associates with higher cholesterol in women in UK Biobank and All of Us.
  • SNP-genocopy mice show hepatic GR-driven transactivation of Pcsk9 and Bhlhe40, elevating all lipoprotein fractions and atherosclerosis.
  • Liver knockdown of Pcsk9/Bhlhe40 abrogates atherogenesis; CRISPR-edited human hepatocyte-like cells recapitulate the mutant program.
  • Corticosterone/testosterone mitigate, while estrogen loss augments, the mutant GR lipid program.

Methodological Strengths

  • Convergent evidence from large human cohorts (UK Biobank, All of Us), SNP-genocopy mice, and CRISPR-edited human iPSC-derived hepatocytes.
  • Causal pathway interrogation via in vivo liver knockdown of Pcsk9 and Bhlhe40 with sex-hormone modulation experiments.

Limitations

  • Translational extrapolation from mouse hAPOE*2/*2 background to human pathophysiology may not fully capture complexity.
  • Population associations, while robust, are observational and do not quantify clinical benefit of targeted interventions.

Future Directions: Assess clinical lipid/atherosclerosis outcomes by rs6190 genotype under PCSK9 inhibition and evaluate sex hormone interactions; explore BHLHE40 as a therapeutic target.

2. MIF-mediated crosstalk between THRSP + hepatocytes and CD74 + lipid-associated macrophages in hepatic periportal zone drives MASH.

80Level IVCase-controlHepatology (Baltimore, Md.) · 2025PMID: 40590856

Spatial transcriptomics pinpoints periportal THRSP-high hepatocytes as hubs recruiting CD74+ LAMs through MIF, driving MASH. THRSP augments palmitate via de novo lipogenesis and prevents FASN ubiquitination (FASN–TRIM21 disruption). A small-molecule THRSP inhibitor (C6) significantly ameliorates MASH in mice.

Impact: It elucidates spatially resolved immunometabolic crosstalk underpinning MASH and validates THRSP as a druggable node with a proof‑of‑concept small-molecule inhibitor that reverses disease in vivo.

Clinical Implications: Supports targeting THRSP–MIF–CD74+ LAM axis for MASH therapy, prioritizing periportal processes and offering a new class of agents beyond metabolic/anti-inflammatory standards.

Key Findings

  • Periportal zones in MASH show increased myeloid cells and THRSP-high hepatocytes.
  • THRSP drives MASH by MIF-mediated recruitment of CD74+ lipid-associated macrophages.
  • THRSP increases palmitate via de novo lipogenesis and blocks FASN ubiquitination by disrupting FASN–TRIM21.
  • A THRSP inhibitor (C6) significantly ameliorates MASH in mice.

Methodological Strengths

  • Spatial transcriptomics with ligand–receptor inference (CellPhoneDB) and in situ co-localization.
  • Mechanistic gain/loss-of-function with pathway dissection and in vivo therapeutic testing of a novel inhibitor.

Limitations

  • Preclinical models; human causal validation and safety/PK of C6 are pending.
  • Quantitative contribution of periportal vs pericentral zones in human MASH progression remains to be defined.

Future Directions: Advance THRSP inhibitors to IND-enabling studies; biomarker development for periportal THRSP/MIF/CD74 activity; patient stratification by zonation signatures.

3. A Multimodal Predictive Model for Chronic Kidney Disease and Its Association With Vascular Complications in Patients With Type 2 Diabetes: Model Development and Validation Study in South Korea and the U.K.

73Level IICohortDiabetes care · 2025PMID: 40590663

An ensemble multimodal model combining fundus photographs (VGG16) and clinical data (DNN) achieved AUC 0.88 internally and 0.72 externally for 5‑year incident CKD in T2D. Explainability (SHAP/Grad‑CAM) highlighted eGFR and optic disc features; higher model probabilities aligned with elevated macro- and microvascular event risks.

Impact: Demonstrates clinically actionable, explainable AI integrating imaging and clinical modalities for CKD risk stratification across diverse cohorts, linking predictions to vascular outcomes.

Clinical Implications: Supports fundus-and-clinical multimodal screening to identify high-risk T2D patients for CKD prevention, earlier nephroprotective therapy, and vascular risk management.

Key Findings

  • Internal AUC 0.880 and external AUC 0.722 for 5-year incident CKD prediction in T2D using fundus images plus clinical data.
  • Explainability identified eGFR and optic disc features as key predictors (SHAP, Grad‑CAM).
  • Higher model probability associated with increased macrovascular (HR up to 1.64) and microvascular (HR 1.30) risks.

Methodological Strengths

  • Large discovery cohort with external validation in UK Biobank, enhancing generalizability.
  • Explainable AI (SHAP/Grad-CAM) clarifies imaging and clinical feature contributions.

Limitations

  • External performance attenuation (AUC 0.722) indicates domain shift; prospective impact studies are needed.
  • CKD definition includes codes and eGFR thresholds; potential misclassification bias.

Future Directions: Prospective deployment with clinical decision support to test outcome improvement; domain adaptation to enhance cross-population performance; integration with nephroprotective treatment pathways.