ArticleBMC endocrine disorders2026
MCD biomarkers Egfr, Hmox1, Lgmn identified in NAFLD.
Article in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
backgroundNon-alcoholic fatty liver disease (NAFLD) is associated with metabolic cell death (MCD), and this study aimed to dig deeper into the biomarkers associated with MCD in NAFLD, and to provide new references for the diagnosis and treatment of NAFLD.
methodsThe datasets and MCD-related genes (MCD-RGs) associated with NAFLD were downloaded from the Gene Expression Omnibus (GEO) database and the literature, respectively. Differentially expressed genes (DEGs) between NAFLD and control groups were identified and intersected with MCD-RGs to yield candidate genes. Biomarkers were obtained by screening under four machine learning models, Receiver Operating Characteristic (ROC) curves, and expression validation. Based on the biomarkers, functional enrichment, diagnostic model construction, network modulation, and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were performed. At the same time, differential infiltration of immune cells in the NAFLD and control groups was analysed.
resultsThe 17 candidate genes were mostly involved in processes such as immunity and apoptosis. After screening, Egfr, Hmox1, and Lgmn were identified as biomarkers. Among these, Egfr was down-regulated whereas Hmox1 and Lgmn were up-regulated in NAFLD. Based on these biomarkers, a nomogram diagnostic model was constructed and demonstrated excellent predictive performance (AUC = 0.997). Subsequent enrichment analyses showed enrichment in inflammatory regulation between biomarkers and NAFLD groups. In addition, in the TF-biomarker network, Egfr and Hmox1 co-predicted NF-κB1. SORAFENIB was co-predicted in drug prediction. Meanwhile, five differentially infiltrating immune cells, such as CD8 T cells, were found to be strongly negatively correlated (cor = -0.475) with Egfr in both the NAFLD and control groups.
conclusionIn this study, Egfr, Hmox1, and Lgmn were used as biomarkers showing transcriptomic correlation with with MCD in NAFLD, and an excellent nomogram diagnostic model was developed accordingly, which is expected to provide a practical tool for diagnosis and treatment of NAFLD. CLINICAL TRIAL NUMBER: Not applicable.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.