Daily Endocrinology Research Analysis
Analyzed 33 papers and selected 3 impactful papers.
Summary
Three studies advance endocrine-metabolic science and practice: a cohort-plus–systematic review identifies plasma vitamin K1 as a sensitive screening marker for Class I familial hypobetalipoproteinemia, an MRI-based model using liver fat homogeneity accurately detects MASH in obesity, and multi-omics profiling links higher SHBG to lower carotid plaque in men with HIV, revealing gut–metabolite–protein signatures.
Research Themes
- Noninvasive diagnostics in metabolic liver disease
- Endocrine biomarkers and cardiovascular risk in HIV
- Micronutrient-based screening for genetic dyslipidemia
Selected Articles
1. Vitamin K1 as a screening marker to facilitate the genetic diagnosis of class I familial hypobetalipoproteinemia: A prospective cohort study with a systematic review analysis.
In a prospective cohort enriched for very low LDL-C and a parallel systematic review, plasma vitamin K1 emerged as the strongest independent predictor of Class I FHBL. Vitamin K1 was reduced by ~50% in heterozygous APOB variant carriers and was the only fat-soluble vitamin consistently decreased in both homozygous and heterozygous Class I FHBL.
Impact: Identifies a practical, measurable biomarker that can triage patients with very low LDL-C for genetic testing, potentially reducing missed diagnoses of APOB-related FHBL and enabling earlier management.
Clinical Implications: Measure plasma vitamin K1 in patients with LDL-C <30 mg/dL to prioritize genetic testing for Class I FHBL and initiate early management of fat-soluble vitamin deficiencies and steatotic liver disease, including vitamin K supplementation and monitoring.
Key Findings
- Whole-exome sequencing of 18 consecutive HBL cases (LDL-C <30 mg/dL) identified 7 novel pathogenic APOB variants in 7 Class I FHBL cases.
- Plasma vitamin K1 was the strongest independent predictor of Class I FHBL in genotype–phenotype analyses.
- Vitamin K1 levels were reduced by approximately 50% in heterozygous FHBL1 compared with controls.
- Systematic review (n=472) found vitamin K1 uniquely decreased in both homozygous and heterozygous Class I FHBL.
Methodological Strengths
- Prospective cohort with detailed genotype–phenotype analyses
- Whole-exome sequencing plus complementary systematic review
Limitations
- Small number of sequenced HBL cases (n=18) limits precision
- Lack of externally validated diagnostic cutoffs; potential confounding by diet/assay variability
Future Directions: Validate vitamin K1 thresholds for screening in independent cohorts, integrate into diagnostic algorithms, and test whether early detection and vitamin K repletion improve clinical outcomes.
BACKGROUND: While low levels of LDL-cholesterol can be atheroprotective, homozygous Class I familial hypobetalipoproteinemia (Ho-Class I FHBL) and heterozygous Class I FHBL (He-Class I FHBL) due to APOB variants (i.e., heterozygous FHBL1 (HeFHBL1)) have serious complications due to genetic defects in the chylomicron/VLDL secretion pathway. However, Ho-Class I FHBL with milder phenotypes and HeFHBL1 are often underdiagnosed due to overlapping lipid profiles with other forms of hypobetalipoproteinemia. OBJECTIVE: Additional screening markers are warranted. METHODS: We established a prospective HBL cohort and performed detailed genotype-phenotype analyses to identify biomarkers associated with Class I FHBL. For further exploration, we systematically reviewed cases with Class I FHBL. RESULTS: In our lipid genome cohort (n = 440), whole-exome sequencing of 18 consecutive cases of HBL (LDL-C <30 mg/dL) identified 7 novel pathogenic variants in 7 cases of Class I FHBL. Genotype-phenotype analyses revealed that plasma vitamin K1 is the strongest independent predictor of Class I FHBL. The vitamin K1 levels in HeFHBL1 were significantly reduced by approximately 50% compared to controls, reflecting the half-normal lipoprotein secretion. Systematic review analyses (n = 472) revealed that vitamin K1 is the only fat-soluble vitamin that is significantly decreased not only in Ho-Class I FHBL but also in HeFHBL1. CONCLUSION: Plasma vitamin K1 may serve as a sensitive screening marker of fat malabsorption, facilitating the genetic diagnosis of Class I FHBL, enabling early management of its complications, such as fat malabsorption, fat-soluble vitamin deficiency, potential vitamin K deficiency, and steatotic liver disease.
2. Multi-omics profiles of sex hormone-binding globulin are associated with subclinical atherosclerosis in men with HIV.
In 321 men from MACS/WIHS, higher SHBG was inversely associated with carotid plaque among men with HIV (OR 0.60 per SD). SHBG-related microbiome, metabolite, and proteomic profiles were inter-correlated and also inversely associated with plaque, whereas in men without HIV, estrone-sulfate was positively associated with plaque.
Impact: Links an endocrine biomarker (SHBG) to subclinical atherosclerosis via integrated gut–metabolite–protein pathways in men with HIV, suggesting protective roles and new mechanistic targets.
Clinical Implications: SHBG and its multi-omics signatures could support cardiovascular risk stratification in men with HIV and inform development of microbiome- or metabolism-targeted interventions; longitudinal validation is needed before clinical adoption.
Key Findings
- Among men with HIV, SHBG inversely associated with carotid plaque (OR 0.60 per 1-SD; 95% CI 0.41–0.90).
- Higher SHBG was linked to specific gut microbial composition (lower Prevotella, Fibrobacter, Coprococcus) and to lipid/carnitine metabolites and adhesion-pathway proteins.
- SHBG-related microbiome, metabolite, and proteomic scores were inter-correlated and inversely associated with plaque in men with HIV.
- In men without HIV, estrone-sulfate positively associated with plaque (OR 3.80; 95% CI 1.41–10.22) without corresponding omics signals.
Methodological Strengths
- Integrated multi-omics profiling (microbiome, metabolome, proteome) with carotid ultrasound endpoints
- Stratified analyses by HIV status with covariate and multiple-testing adjustment
Limitations
- Cross-sectional design limits causal inference and temporality
- Generalizability may be limited to older men; residual confounding possible
Future Directions: Prospective and mechanistic studies to test causality, mediation by omics pathways, and interventional modulation of SHBG-related signatures in diverse HIV populations.
BACKGROUND: Sex hormones and HIV infection both influence cardiovascular health. However, the association between sex hormones and subclinical atherosclerosis is not fully understood, especially in the context of HIV. METHODS: Among 321 men (65% with HIV) from the MACS/WIHS Combined Cohort Study, we measured 14 serum sex hormones and sex hormone-binding globulin (SHBG), assessed carotid artery plaque (IMT > 1.5 mm) using high-resolution B-mode ultrasound, and performed metagenomic sequencing on stool samples. In 312 men, we measured 986 plasma metabolites via liquid chromatography-tandem mass spectrometry and 2883 plasma proteins using the Olink Explore 3072 platform. In stratified analyses of men with (MWH) and without HIV (MWOH) and adjusting for covariates and multiple testing, we (1) examined associations of sex hormones with plaque; (2) characterized multi-omics profiles related to sex hormones; and (3) generated sex hormone-related omics scores via linear combination of related species, metabolites, and proteins, respectively, to explore whether these sex hormone-related multi-omics profiles were associated with plaque. RESULTS: Median age of participants was 62 years (interquartile range: 58-68), and 31.5% had carotid artery plaque. Sex hormones were differentially associated with plaque in MWH and MWOH. In MWH, an inverse association was observed between SHBG and plaque (OR = 0.60 per 1-SD increase, 95% CI: 0.41, 0.90). Furthermore, higher SHBG levels were associated with overall gut microbial composition, lower abundance of species from genera Prevotella, Fibrobacter and Coprococcus, higher levels of certain metabolites (primarily lipid and carnitine metabolites) and proteins enriched in the cell-cell adhesion pathway. Some SHBG-related species (e.g., Mediterranea massiliensis), metabolites (e.g., phosphatidylcholine-based lipids) and proteins (e.g., enriched in immune response pathway) were also associated with plaque in MWH. All three SHBG-related omics scores were inter-correlated and inversely associated with plaque in MWH. In MWOH, estrone-sulfate was positively associated with plaque (OR = 3.80, 95% CI: 1.41, 10.22) but not with any species, metabolites or proteins. CONCLUSIONS: Higher SHBG, and related microbial species, circulating metabolites, and proteins, were inversely associated with carotid artery plaque. These findings suggested that SHBG may play a protective role in subclinical atherosclerosis in MWH.
3. Homogeneity of Liver Fat Distribution Serves as a Diagnostic Marker for Metabolic Dysfunction-Associated Steatohepatitis.
In 107 biopsy-confirmed fatty liver cases (44 MASH), MASH showed higher liver fat across segments and more homogeneous right-lobe fat distribution. The MRI-derived raw-MASH score (right-lobe PDFF mean and SD plus ALT and waist circumference) achieved AUROC 0.90, outperforming HAIR, ION, and acNASH and improving performance with a dual-threshold strategy.
Impact: Introduces spatial homogeneity of liver fat as a diagnostic hallmark and provides a practical MRI-based score that could reduce reliance on biopsy for MASH identification in obesity.
Clinical Implications: The raw-MASH score, derived from standard MRI-PDFF and routine labs, may help noninvasively identify MASH in obesity, prioritize patients for biopsy or therapy, and standardize risk stratification pending external validation.
Key Findings
- Among 107 biopsy-confirmed fatty liver patients, 44 had MASH.
- MASH displayed higher PDFF across segments and more homogeneous right-lobe fat distribution than non-MASH.
- raw-MASH score (right-lobe PDFF mean and SD, ALT, waist circumference) achieved AUROC 0.90 (95% CI 0.84–0.95).
- raw-MASH outperformed HAIR, ION, and acNASH (all p<0.05) and trended higher than MR-MASH (0.90 vs 0.85; p=0.066); dual-thresholding improved sensitivity and specificity.
Methodological Strengths
- Biopsy reference standard with contemporaneous MRI-PDFF
- Machine learning-assisted model and head-to-head comparison with established scores
Limitations
- Single-center cohort with modest sample size; external validation pending
- Potential spectrum bias and MRI protocol generalizability need assessment
Future Directions: External multicenter validation of raw-MASH thresholds, integration into clinical workflows, and evaluation of prognostic value and treatment decision impact.
RATIONALE AND OBJECTIVES: To characterize liver fat distribution in metabolic dysfunction-associated steatohepatitis (MASH) and propose a magnetic resonance imaging proton density fat fraction (MRI-PDFF)-based score for MASH identification in obesity. MATERIALS AND METHODS: Individuals with obesity were recruited for liver biopsy and contemporaneous MR scanning. The variability in fat distribution was evaluated by calculating the standard deviation (SD), range, and coefficient of variation of MRI-PDFF across liver lobes. A machine learning-assisted strategy was employed to establish a diagnostic model for MASH. RESULTS: A total of 107 participants with biopsy-confirmed fatty liver were included, and 44 were diagnosed with MASH. The MASH group exhibited significantly higher fat content in all liver segments and more homogeneous fat distribution in the right liver lobe than those with non-MASH. A raw-MASH score, incorporating the mean value and SD of PDFF in the right lobe, alanine aminotransferase levels, and waist circumference, was then established to identify MASH with an area under the receiver operating characteristic curve (AUROC) of 0.90 (95%CI 0.84-0.95). It performed better than HAIR, ION, and acNASH (all p < 0.05), and exhibited higher AUROC than MR-MASH model (0.90 vs. 0.85, p = 0.066). Besides, the dual threshold strategy of raw-MASH improved the diagnostic performance with high sensitivity and specificity. CONCLUSION: In addition to the hepatic fat content, the homogeneity of fat distribution may represent another significant hallmark of MASH. The raw-MASH score, which is available from MR imaging and routine clinical collection, shows great potential for identifying MASH in obesity.