Daily Endocrinology Research Analysis
Analyzed 76 papers and selected 3 impactful papers.
Summary
Three studies stood out today: a large UK Biobank proteomics analysis linking insulin resistance to multi-organ disease and mortality, a secondary analysis of the EDEN RCT identifying GIP as a predictive biomarker for feeding strategy in ARDS, and a mechanistic discovery of a gain-of-function CLCN2 germline mutation causing nonclassical primary aldosteronism. Together, they advance precision risk stratification, biomarker-guided critical care, and genetic mechanisms in endocrine hypertension.
Research Themes
- Systems proteomics to decode insulin resistance and predict cardio-renal-metabolic outcomes
- Biomarker-guided nutrition strategies in critical illness (HTE and incretins)
- Ion channel genetics underlying endocrine hypertension (primary aldosteronism)
Selected Articles
1. Plasma proteomic profiling deciphers molecular dynamics linking insulin resistance to multiple chronic diseases and mortality.
Using 2,920 plasma proteins in 19,556 UK Biobank participants, elastic net-derived IR proteomic signatures predicted incident T2D, IHD, stroke, CKD, and mortality over >12 years. eGDR outperformed other IR surrogates, and mediation implicated proteins such as HAVCR1, CXCL17, and GDF15, highlighting immune-inflammatory pathways.
Impact: This work provides scalable, blood-based proteomic signatures that connect insulin resistance to broad disease risk and mortality, enabling precision stratification beyond glucose metrics.
Clinical Implications: Proteomic signatures and eGDR may refine risk prediction for CKM outcomes, guiding earlier preventive strategies and targeting inflammatory pathways linked to IR.
Key Findings
- Elastic net identified IR-associated plasma protein signatures from 2,920 proteins in 19,556 participants.
- IR proteomic signatures predicted incident T2D, IHD, stroke, CKD, and mortality over >12 years.
- eGDR showed superior predictive discrimination among IR surrogates; mediation implicated HAVCR1, CXCL17, GDF15 and immune-inflammatory pathways.
Methodological Strengths
- Large prospective cohort with long follow-up and adjudicated outcomes
- Integrative analytics (elastic net, Cox models, mediation) linking proteins to incident disease
Limitations
- Observational design limits causal inference and residual confounding is possible
- Generalizability beyond UK Biobank demographics requires external validation
Future Directions: Validate proteomic signatures across ancestries, test incremental clinical utility over standard risk models, and evaluate pathway-targeted interventions informed by mediating proteins.
BACKGROUND: Insulin resistance (IR) correlates with a wide spectrum of diseases and death. However, the specific proteomic signatures of IR and their associations with health outcomes remain incompletely understood. METHODS: Leveraging data of 2,920 plasma proteins from 19,556 individuals in UK biobank study, we employed the elastic net model to dissect IR-related proteins and construct proteomic signature scores. Cox proportional hazards model was fitted to examine the longitudinal associations of distinct IR indicators and their proteomic signatures with multiple chronic disease and mortality. Mediation analyses were conducted to explore the role of individual proteins and proteomic signatures in IR-disease associations. RESULTS: Over a mean follow-up of over 12 years, higher levels of IR surrogate makers were linked to cardiovascular-kidney-metabolic events and mortality, with eGDR outperforming other metrics in predictive discrimination. Furthermore, most IR proteomic signatures were prospectively associated with the incidence of type 2 diabetes mellitus, ischemic heart diseases, stroke, chronic kidney diseases, and mortality. Proteins associated with IR were primarily enriched in inflammation, immune response, and lipid metabolism, with immune-related proteins holding crucial roles. Multiple IR-disease associations were significantly mediated by proteomic signatures and specific proteins, like HAVCR1, CXCL17, and GDF15. CONCLUSION: This study probed into the plasma proteomic profiles in IR settings and the associations of relevant protein signatures with multiple chronic diseases and mortality, providing additional guidelines on targeted intervention strategies for cardiovascular-kidney-metabolic outcomes.
2. Incretins Predict Response to Enteral Nutrition Strategies in the EDEN Trial: A Secondary Analysis.
Pre-intervention GIP levels predicted heterogeneity of treatment effect in EDEN: patients in the highest GIP tertile had lower 60-day mortality with trophic versus full enteral feeding, whereas GLP-1 and ARDS subphenotypes did not predict response.
Impact: Identifies a readily measurable endocrine biomarker (GIP) to personalize feeding strategies in ARDS, a long-standing clinical equipoise.
Clinical Implications: If validated, pre-feeding GIP could guide the choice of trophic versus full feeds in ARDS, potentially improving survival in a biomarker-defined subgroup.
Key Findings
- Among 889 EDEN participants, GIP predicted HTE with a significant treatment×GIP interaction (p=0.01).
- Highest GIP tertile: lower 60-day mortality with trophic feeds (14.1%) versus full feeds (27.2%).
- GLP-1 levels, ARDS subphenotypes, and baseline mortality risk did not predict feeding response.
Methodological Strengths
- Biomarker measured pre-intervention, minimizing reverse causation
- Interaction testing with multivariable adjustment in a large RCT dataset
Limitations
- Secondary analysis; findings require external validation and prospective stratified trials
- Not randomized by biomarker; potential unmeasured confounding remains
Future Directions: Prospectively validate GIP-guided feeding strategies and assess mechanisms linking GIP biology to tolerance of trophic feeding.
RATIONALE: The Early versus Delayed Enteral Nutrition (EDEN) trial found no significant difference in mortality between trophic and full enteral nutrition strategies in acute respiratory distress syndrome (ARDS) patients. Heterogeneity of treatment effect (HTE) has been identified in prior ARDS trials. We previously identified intestine-derived incretin hormones (glucose-dependent insulinotropic peptide [GIP] and glucagon-like peptide [GLP]-1 as potential predictive biomarkers in the response to nutrition. OBJECTIVES: To investigate incretins as biomarkers predictive of HTE in EDEN. METHODS: GIP, GLP-1, and host immune response biomarkers were measured from pre-intervention EDEN plasma samples. We investigated HTE with 60-day mortality as a primary outcome by testing interaction of treatment with circulating incretin levels in analyses adjusted for demographics, severity of illness, diabetes mellitus, and circulating interleukin-6, and assessed mortality by treatment arm across incretin tertiles. We additionally tested for HTE by de novo ARDS subphenotypes and by risk of mortality. MEASUREMENTS & MAIN RESULTS: 889 participants were included (452 randomized to trophic and 437 to full enteral nutrition). GIP predicted HTE to enteral nutrition strategies (adjusted interaction p-value 0.01) with lower mortality from trophic feeds (14.1% vs 27.2% in full) in patients in the highest GIP tertile but similar mortality in other tertiles. GLP-1, ARDS subphenotypes, and baseline risk of mortality did not predict HTE. CONCLUSIONS: GIP was unique among incretins in predicting HTE to enteral nutrition strategies in EDEN. Further studies are needed to validate our findings as GIP might serve as a biomarker to guide level of enteral nutrition for ARDS patients.
3. Novel gain-of-function CLCN2 germline mutation associated with nonclassical lateralizing primary aldosteronism.
A heterozygous germline CLCN2 p.R363C variant was identified in unilateral PA with nonclassical mAPM histology. Functional assays demonstrated gain-of-function ClC-2 channel activity and increased aldosterone production, establishing a mechanistic link between CLCN2 channelopathy and nonclassical lateralizing PA.
Impact: First mechanistic association of a gain-of-function CLCN2 germline mutation with nonclassical mAPM, expanding the genetic architecture and diagnostic targets of primary aldosteronism.
Clinical Implications: Genetic testing for CLCN2 may be warranted in unilateral PA with nonclassical histology, informing diagnosis, familial screening, and potentially channel-targeted therapies in the future.
Key Findings
- Identified a heterozygous germline CLCN2 p.R363C variant in unilateral PA with nonclassical mAPM.
- Functional assays showed gain-of-function ClC-2 (enhanced stability, membrane expression, higher open probability) and increased aldosterone production.
- Dominant gain-of-function observed when co-expressed with wild-type, supporting pathogenicity.
Methodological Strengths
- Multi-layer evidence: histopathology, targeted genomic analyses, electrophysiology, and hormone assays
- CYP11B2-guided macrodissection increasing mutation detection specificity
Limitations
- Single-patient report without family segregation analysis limits generalizability
- Clinical benefit beyond adrenalectomy not assessed; need larger cohorts
Future Directions: Screen PA cohorts for CLCN2 variants, perform family segregation and genotype–phenotype studies, and explore pharmacologic modulation of ClC-2.
Primary aldosteronism (PA) is commonly caused by somatic and germline mutations in various genes. Patients with unilateral PA may display classical or nonclassical histopathologic features in adrenal tumors. Somatic and germline mutations are linked to classical unilateral and familial PA, respectively. Herein, we aim to search for novel gene mutation causing nonclassical lateralizing PA. Surgically resected adrenal tumor tissues from patients enrolled in a PA cohort were subject to histopathologic evaluation. Genetic analyses were performed for genomic DNA isolated from peripheral blood leukocytes and CYP11B2 immunohistochemistry-guided macrodissected adrenal tissues to identify novel variants. A PA patient with a 1.8-cm mass in the right adrenal gland underwent laparoscopic right adrenalectomy, and achieved complete biochemical success at 12 months, but partial clinical improvement. Post-adrenalectomy tissues displayed the nonclassical histopathologic feature with multiple aldosterone-producing micronodules (mAPM), but no solitary aldosterone-producing adenoma. Genetic analyses identified a heterozygous CLCN2 germline variant, c.1087C>T (p.R363C), that was likely pathogenic based on bioinformatic evaluations. In vitro biochemical, electrophysiological, and hormone assays revealed that the human ClC-2 R363C channel displayed significant gain-of-function phenotypes, including enhanced protein stability and cell surface expression, higher channel open probability at physiological membrane potentials, and increased aldosterone production in human adrenocortical cells. Dominant gain-of-function effect of ClC-2 R363C was also observed when we co-expressed the variant with its wild-type counterpart. Altogether, we report the first association of gain-of-function CLCN2 germline mutation with nonclassical mAPM, providing new insight to the pathogenic mechanisms of PA.