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Daily Report

Daily Endocrinology Research Analysis

05/04/2025
3 papers selected
3 analyzed

Three impactful endocrinology papers emerged: a multi-omic study delineates transcriptional programs distinguishing metastatic potential in pheochromocytoma/paraganglioma; a meta-analysis shows blood pressure response to mineralocorticoid-pathway drugs is independent of baseline renin; and a cross-sectional study identifies the Chinese Visceral Adiposity Index as the strongest obesity/IR-related marker for subclinical carotid atherosclerosis in type 1 diabetes.

Summary

Three impactful endocrinology papers emerged: a multi-omic study delineates transcriptional programs distinguishing metastatic potential in pheochromocytoma/paraganglioma; a meta-analysis shows blood pressure response to mineralocorticoid-pathway drugs is independent of baseline renin; and a cross-sectional study identifies the Chinese Visceral Adiposity Index as the strongest obesity/IR-related marker for subclinical carotid atherosclerosis in type 1 diabetes.

Research Themes

  • Molecular stratification in endocrine tumors
  • Aldosterone pathway therapeutics and patient selection
  • Visceral adiposity and vascular risk in diabetes

Selected Articles

1. Single-cell chromosome and bulk transcriptome analysis as a diagnostic tool to differentiate between localized and metastatic pheochromocytoma and sympathetic paraganglioma.

80Level IIICohort
Oncogene · 2025PMID: 40319142

Using single-cell whole-genome sequencing and bulk RNA-seq, the authors show that PPGLs exhibit ongoing chromosomal instability but share broadly similar genomic landscapes across localized and metastatic disease. Crucially, transcriptomic programs (including TNFα/TGFβ signaling) distinguish metastatic PPGL and are detectable in primary tumors that later metastasize, enabling earlier risk stratification.

Impact: This study identifies early transcriptional signatures of metastatic potential in PPGL, addressing a major unmet need in prognostication where genomic markers have been insufficient.

Clinical Implications: Transcriptomic profiling could augment initial risk stratification and surveillance planning in PPGL, guiding intensity of follow-up and consideration of adjuvant strategies pending prospective validation.

Key Findings

  • PPGLs exhibited complex karyotypes with recurrent aneuploidies and high cell-to-cell karyotype variability, indicating ongoing chromosomal instability in both localized and metastatic tumors.
  • Bulk transcriptome analysis revealed differences between localized and metastatic PPGL, including enrichment of TNFα and TGFβ signaling in metastatic tumors.
  • These transcriptional differences were detectable in primary tumors that later developed metachronous metastases, suggesting utility for early risk stratification.

Methodological Strengths

  • Integration of single-cell whole-genome sequencing with bulk RNA-seq across clinically distinct PPGL cohorts
  • Inclusion of both synchronous and metachronous metastatic cases to interrogate early markers

Limitations

  • Sample size and exact diagnostic performance metrics are not provided in the abstract
  • Lack of external prospective validation and unclear clinical assay standardization

Future Directions: Prospective validation of transcriptomic classifiers, development of clinically deployable assays, and integration with imaging/biochemical markers.

Approximately 10-20% of patients with pheochromocytoma or sympathetic paraganglioma (PPGL) develop metastatic disease, most often as metachronous lesions. Unfortunately, there is a lack of accurate biomarkers that can predict the biologic behavior of a PPGL at the initial diagnosis. We investigated tumor samples from patients with PPGL and a diagnosis of either localized or metastatic disease with synchronous or metachronous metastases and performed a comprehensive molecular analysis through application of single-cell whole-genome sequencing and bulk transcriptome analysis, including variant detection analysis of RNA sequences. We found that PPGL displayed complex karyotypes with recurrent aneuploidies and substantial cell-to-cell karyotype variability, indicating ongoing chromosomal instability (CIN) in both localized and metastatic tumors. Transcriptome analysis on the other hand revealed several differences between localized and metastatic PPGL including TNFα and TGFβ signaling in metastatic PPGL that were already detectable in primary tumor samples of initially non-metastatic-appearing PPGLs that developed metachronous metastases. Altogether our findings indicate that while localized and metastatic PPGL in general have comparable genomic landscapes, they do show transcriptional differences that are already detectable in primary tumor PPGL before development of metastases. This finding could provide an important tool for improvement of patient stratification at initial diagnosis.

2. Blood pressure response to mineralocorticoid receptor antagonists or aldosterone synthase inhibitors according to baseline renin levels.

65.5Level IMeta-analysis
Journal of human hypertension · 2025PMID: 40319182

A random-effects meta-analysis of four RCTs shows that blood pressure reduction with MRAs or aldosterone synthase inhibitors does not depend on baseline plasma renin. These findings challenge renin-based stratification for selecting patients for aldosterone-pathway therapies.

Impact: By aggregating randomized evidence, this study questions a common clinical heuristic—using renin to predict response to aldosterone-targeted therapy—and supports broader applicability.

Clinical Implications: Routine renin testing may be unnecessary for predicting BP response to MRAs/ASi, simplifying treatment decisions while emphasizing other clinical indicators.

Key Findings

  • Random-effects meta-analysis of four randomized clinical trials was conducted.
  • Blood pressure response to MRAs or aldosterone synthase inhibitors was independent of baseline plasma renin levels.
  • Findings question renin-based patient stratification for aldosterone-pathway antihypertensives.

Methodological Strengths

  • Restriction to randomized clinical trials reduces confounding
  • Use of random-effects model accommodates between-trial heterogeneity

Limitations

  • Only four RCTs included; statistical power and generalizability may be limited
  • Effect sizes by renin strata and heterogeneity statistics are not detailed in the abstract

Future Directions: Larger IPD meta-analyses and trials testing renin-guided versus usual care strategies to confirm lack of predictive value.

Plasma renin is a surrogate marker of sodium retention in hypertension, and its levels are suppressed in conditions of heightened aldosterone production. We performed a random-effects meta-analysis of randomized clinical trials focusing on the impact of mineralocorticoid receptor antagonists (MRA) and aldosterone synthase inhibitors (ASi) on blood pressure according to baseline renin levels. We included four randomized clinical trials, and we found that the response to MRA or ASi was independent of baseline plasma renin levels.

3. Association of obesity- and insulin resistance-related indices with subclinical carotid atherosclerosis in type 1 diabetes: a cross-sectional study.

61.5Level IIICohort
Cardiovascular diabetology · 2025PMID: 40319311

In 418 adults with type 1 diabetes, multiple adiposity/insulin resistance indices were compared for their association with subclinical carotid atherosclerosis. CVAI showed the strongest adjusted association (per 1 SD increase OR 1.68, 95% CI 1.16–2.47), suggesting promise as a screening marker pending longitudinal validation.

Impact: This work benchmarks a wide panel of obesity/IR indices and highlights CVAI as a practical, potentially superior marker for vascular risk assessment in type 1 diabetes.

Clinical Implications: CVAI may help identify T1D patients with subclinical carotid disease for targeted prevention and monitoring; however, prospective studies are needed before routine adoption.

Key Findings

  • Among 418 adults with T1D, numerous adiposity/IR indices were evaluated against subclinical carotid atherosclerosis using multivariable logistic models, RCS, and ROC analyses.
  • CVAI demonstrated the strongest adjusted association with subclinical carotid atherosclerosis (per 1 SD increase OR 1.68, 95% CI 1.16–2.47).
  • Findings support CVAI as a candidate marker for vascular risk stratification in T1D, warranting longitudinal validation.

Methodological Strengths

  • Comprehensive comparison across many established adiposity/IR indices
  • Use of multivariable adjustment, restricted cubic splines, and ROC analyses

Limitations

  • Single-center, inpatient cohort in China limits generalizability
  • Cross-sectional design precludes causal inference; follow-up data not provided

Future Directions: Prospective studies to test predictive value of CVAI for incident atherosclerotic events and to define actionable thresholds in diverse T1D populations.

BACKGROUND: Obesity and insulin resistance are well-established risk factors for atherosclerosis and cardiovascular disease (CVD). Although some obesity- and insulin resistance-related indices (OIRIs) have been linked to CVD, their associations with subclinical carotid atherosclerosis (SCA) in individuals with type 1 diabetes (T1D) remain unclear. This study aims to systematically explore and compare the associations of various common OIRIs with SCA in T1D population. METHODS: A total of 418 adult inpatients with classic T1D admitted from October 2008 to June 2021 to the First Affiliated Hospital of Air Force Medical University in Xi'an, China were included in this study. Demographic, anthropometric, and laboratory data were collected. Studied OIRIs comprised body mass index, waist-to-height ratio, waist-to-hip ratio (WHR), a body shape index, abdominal volume index, body adiposity index, body roundness index, conicity index, triglyceride-glucose index, visceral adiposity index, Chinese visceral adiposity index (CVAI), lipid accumulation product, estimated glucose disposal rate (eGDR), triglyceride-to-HDL ratio, and cardiometabolic index. Binary logistic regression, restricted cubic spline (RCS), and receiver operating characteristic curves were used to examine the associations of these indices with SCA. RESULTS: In multivariable logistic regression analyses, after adjusting for potential confounders, per 1.0-standard deviation (SD) increase in CVAI (OR, 95% CI: 1.68, 1.16-2.47), eGDR CONCLUSION: Among various OIRIs, CVAI shows the strongest association with SCA in adults with T1D. These findings suggest that CVAI may merit further longitudinal investigation as a potential marker for SCA assessment in this population.