ArticleBrazilian journal of otorhinolaryngology
Systematic elucidation of the cross-omics regulatory network in chronic rhinosinusitis: the LAT-IL23R metabolic axis.
Article in Brazilian journal of otorhinolaryngology. 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe pathological mechanisms underlying Chronic Rhinosinusitis (CRS) remain incompletely understood, and current treatments exhibit low response rates alongside a scarcity of specific drugs targeting the disease's fundamental characteristics. Although dysregulation of protein interactions and metabolic reprogramming have been confirmed as contributors to the progression of CRS, a systematic elucidation of the cross-omics regulatory network encompassing genetics, proteins, and metabolites is still needed.
methodsThis study employed a multi-stage comprehensive analytical strategy that integrates MR, mediation analysis, and proteomics. Initially, using pQTL data from the deCODE and UKB-PP databases, as well as CRS GWAS data from the FinnGen database, MR was utilized to identify proteins associated with CRS. Following this, a two-step mediation analysis was conducted to construct a protein-protein-metabolic regulatory network.
resultsThe study identified that the LAT-IL23R metabolic axis mediates CRS through γ-glutamyltyrosine and trans-4-hydroxyproline.
conclusionThis study systematically reveals, for the first time, the promoting role of the LAT-IL23R-amino acid metabolic network in CRS, providing a theoretical basis for the development of targeted combination therapies. LEVEL OF EVIDENCE: Level 3 (causal inference from cohort-derived genetic data).
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.