Evidence map›Paper›PMID 42415100›Full record

ArticleBMC medical genomics2026

Integrated transcriptomic and metabolomic analysis identifies a core gene-metabolite network linking lysine degradation and propanoate metabolism to psoriasis pathogenesis.

Hongkai Zheng, Rujun Xue, Wei Li, Xiaonan Sima, Jingyao Liang, Sanquan Zhang

Abstract read
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Article in BMC medical genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Hongkai Zheng *Institute of Dermatology, Guangzhou Medical University, Guangzhou, 510095, P.R. China.
Rujun Xue *Institute of Dermatology, Guangzhou Medical University, Guangzhou, 510095, P.R. China.
Wei LiInstitute of Dermatology, Guangzhou Medical University, Guangzhou, 510095, P.R. China.
Xiaonan SimaInstitute of Dermatology, Guangzhou Medical University, Guangzhou, 510095, P.R. China.
Jingyao LiangInstitute of Dermatology, Guangzhou Medical University, Guangzhou, 510095, P.R. China. ljy20221228@163.com.
Sanquan ZhangInstitute of Dermatology, Guangzhou Medical University, Guangzhou, 510095, P.R. China. zsq1157300174@163.com.

Funding

Guangzhou Basic Research Plan Jointly Funded by the City, School (Hospital), and/or Enterprise No.2023A03J0944 and 2023A03J0465Scientific Research Project of Guangdong Provincial Bureau of Traditional Chinese Medicine No. 20261300
6 · The paper itself

Abstract

backgroundPsoriasis is a complex chronic inflammatory disease with cutaneous manifestations, driven by intricate interactions between genetic, immunological, and metabolic dysregulations. However, the integrated molecular networks connecting transcriptional alterations to metabolic reprogramming remain incompletely elucidated.

methodsWe performed a comprehensive integrated analysis of transcriptomics and targeted metabolomics using serum samples from 11 psoriasis vulgaris patients and 11 healthy controls to dissect the core gene-metabolite regulatory axes underlying psoriasis.

resultsRNA sequencing identified 5,186 differentially expressed genes (DEGs), with a striking predominance of downregulation (5,147 DEGs), and targeted metabolomic profiling detected 208 significantly altered metabolites, including upregulated propanoic acid and downregulated L-allysine. KEGG pathway enrichment analysis revealed six dysregulated metabolic pathways shared by DEGs and altered metabolites, notably lysine degradation, propanoate metabolism, and central carbon metabolism in cancer-with the latter identified as a novel pathogenic pathway in psoriasis vulgaris. Weighted Gene Co-expression Network Analysis (WGCNA) further delineated strong correlations between core genes (TP53, MTOR, AKT3) and key metabolites (propanoic acid, L-allysine), forming a functional network that links cellular energy metabolism to immune-inflammatory responses. Protein-protein interaction network analysis confirmed these core genes as hub regulators within the dysregulated pathways.

conclusionIn this exploratory pilot study, integrated transcriptomic and metabolomic profiling revealed preliminary associations between lysine degradation, propanoate metabolism, and psoriasis status. The observed crosstalk with central carbon metabolism, potentially involving TP53, MTOR, and AKT3, generates hypotheses that require validation in independent, larger cohorts before any clinical or mechanistic inferences can be drawn.

Indexed as

Gene Regulatory NetworksLysineMetabolomeMetabolomicsPropionatesPsoriasisTranscriptomeAdultCase-Control StudiesFemaleGene Expression ProfilingHumansMaleMultiomicsLysinePropionatespropionic acidMetabolomicsPsoriasisTranscriptomicsWGCNA

Identifiers

PMID42415100
PMCPMC13632293

What Socratic holds

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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.