ArticlePeerJ2025
PCK1 as a potential hub gene in distinguishing lactate metabolism between rheumatoid arthritis and osteoarthritis.
Article in PeerJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Integrative bioinformatics and machine learning reveal hub genes and immune signatures bridging type 2 diabetes mellitus, fracture susceptibility, and osteoblast differentiation dysfunction.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- The emerging role of lactate in skeletal homeostasis and disorders: Integrated mechanisms and translational opportunities.Journal of orthopaedic translation · 2026Review
- Exploring the mechanism of Dieda Qili Tablet on fracture healing based on network pharmacology combined with machine learning models.Scientific reports · 2026Article
- The PANoptotic mosaic of rheumatoid arthritis: epitranscriptomic regulation, systemic relays, and precision death-mode editing.Frontiers in immunology · 2026Review
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Lactate is notably involved in the advancement of rheumatoid arthritis (RA) and osteoarthritis (OA). Nevertheless, the causal association between these conditions and lactate remains uncertain. This study aims to use Mendelian randomization (MR) to investigate their relationship with lactate and understand the genetic differences in lactate metabolism between them. Methods: Genetic data for RA, OA, and lactate metabolism were obtained from GWAS, GEO, and MSigDB databases. MR analysis was performed using the inverse variance weighted (IVW) method. Differential gene expression analysis was conducted using the "limma" package, and Gene Set Enrichment Analysis (GSEA) was performed with GSEA software. Immune cell infiltration was assessed using the CIBERSORT platform. Validation of differentially expressed genes was carried out Results: MR analysis indicated a causal relationship between RA and OA with lactate levels. Differential gene expression analysis revealed that PCK1 is a key gene underlying the metabolic differences in lactate levels between RA and OA. Conclusion: This study provides genetic evidence supporting the causal relationship between RA, OA, and lactate levels. Additionally, PCK1 is identified as a pivotal target implicated in the metabolic disparities of lactate between RA and OA, highlighting its potential significance in RA therapeutics.
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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.