ArticleMedComm2026
Robust Diagnostic and Therapeutic Biomarkers for Tuberculosis Identified Through Multi-Omics and Mendelian Randomization Analysis.
Article in MedComm, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Total Neoadjuvant Therapy Versus Neoadjuvant Chemotherapy Alone for High-Risk Locally Advanced Rectal Cancer: a Propensity Score Matched Study.Journal of gastrointestinal cancer · 2026Article
- mRNA vaccine development for tuberculosis: antigen design, immune mechanisms, and translational challenges.Archives of microbiology · 2026Review
- Lipid metabolism in the resuscitation of dormant mycobacterium tuberculosis: molecular resilience, host hijacking, and clinical opportunities.Frontiers in cellular and infection microbiology · 2026Review
- Article
- Transformer-Based Multiomics Study Identifies Important Role of Glycine, Serine, and Threonine Metabolism Pathway in Rheumatoid Arthritis Complicated by Anemia.Computational and structural biotechnology journal · 2026Article
- Systemic Host Proteomic Signatures as Dynamic Markers for Monitoring Pulmonary Tuberculosis Treatment Response.Infection and drug resistance · 2026Review
- Harnessing the gut microbiome to combat tuberculosis: a technological and clinical review.Frontiers in cellular and infection microbiology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tuberculosis (TB) remains a major global health challenge. In this study, we applied UPLC-MS/MS lipidomics and data-independent acquisition proteomics to profile plasma from healthy controls, active TB patients, and cured individuals to identify differentially expressed lipids and proteins. Mendelian randomization prioritized phosphatidylcholine (PC) lipids (PC(18:2/18:2), PC(14:0/20:4) and PC(18:0/20:4)) and proteins (haptoglobin [HP], retinol binding protein 4 [RBP4], coagulation factor XIII B subunit [F13B] and inter-alpha-trypsin inhibitor heavy chain 1 [ITIH1]) as candidate diagnostic and cure biomarkers. Binary multi-omics random-forest classifiers constructed with these markers achieved strong diagnostic (AUC = 0.967, 95% CI: 0.928-1.000) and cure-monitoring (AUC = 0.981, 95% CI: 0.956-1.000) performance, which was further assessed with ten-fold cross-validation. Integration with transcriptomic data and lipid-related gene analysis provided additional molecular support for HP. Independent validation in the GSE34608 cohort (AUC = 0.965) and ELISA verification (AUC = 0.969) confirmed HP's diagnostic utility at gene and protein levels. GSVA enrichment implicated HP in iron homeostasis and immune response pathways, suggesting a role in
Indexed as
Identifiers
What Socratic 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 Socratic graph.