Integrative Single-Cell Transcriptomic, Mendelian Randomization and In Silico Perturbation Analyses Prioritize MUC20 as a Candidate Gene Associated with Osteoporosis and Metabolic Dysfunction-Associated Steatotic Liver Disease in the Liver-Bone Axis.

Hui Jin, Xiangting Ye, Gonghui Jian, Hui Xiong

Abstract read

In one paragraph

Article in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hui JinSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, China.

Xiangting YeGraduate School, Hunan University of Chinese Medicine, Changsha 410208, China.

Gonghui JianSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, China.

Hui XiongSchool of Integrated Chinese and Western Medicine, Hunan University of Chinese Medicine, Changsha 410208, China.

Funding

Department of Science and Technology of Hunan Province 2024JJ6342

6 · The paper itself

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) and osteoporosis (OP) are epidemiologically linked, but shared cell-type-specific molecular features remain unclear. We integrated public single-cell/single-nucleus transcriptomic datasets for OP (GSE147287) and MASLD (GSE289173) with two-sample Mendelian randomization (MR), colocalization, network annotation, macrophage-focused in silico perturbation, and exploratory serum assessment. After quality control, 13,753 OP cells and 42,438 MASLD cells/nuclei were analyzed. Macrophages were consistently identified in both datasets and showed disease-associated expansion. Directionally concordant macrophage differentially expressed genes yielded 147 shared candidate genes, with enrichment mainly involving lipid/sterol metabolism, extracellular matrix and adhesion processes, immune presentation, lysosomal processing, and phagocytic pathways. MR prioritized

Indexed as

Fatty LiverMucinsOsteoporosisTranscriptomeBone and BonesComputer SimulationGene Expression ProfilingGenetic Predisposition to DiseaseHumansLiverMacrophagesMendelian Randomization AnalysisSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisMucinsin silico perturbationmendelian randomizationmetabolic dysfunction-associated steatotic liver diseaseosteoporosissingle-cell transcriptomics

Identifiers

PMID42353169

DOI10.3390/ijms27125453

PMCPMC13300151

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