Evidence map›Paper›PMID 41756409›Full record

ArticleFrontiers in cellular and infection microbiology2025

The disturbance of ABC transporters in patients with dengue fever: integration of metabolomics and transcriptomics.

Chengxin Liu, Bei Ye, Kai Wang, Jiafang Chen, Huiting Huang, Yong Jiang, Geng Li, Shaofeng Zhan

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Chengxin Liu *The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Bei Ye *The First Clinical Medical School, Guangzhou University of Chinese Medicine, Guangzhou, China.
Kai Wang *The First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Jiafang ChenShenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China.
Huiting HuangThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.
Yong JiangShenzhen Hospital of Integrated Traditional Chinese and Western Medicine, Shenzhen, China.
Geng LiLaboratory Animal Center, Guangzhou University of Chinese Medicine, Guangzhou, China.
Shaofeng ZhanThe First Affiliated Hospital, Guangzhou University of Chinese Medicine, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: DENV virus (DENV) infection can cause various symptoms and organ damage, even severe dengue fever. However, the underlying host response products and interfering metabolic pathways and mechanisms of DENV infection remain unclear. In this study, we characterized the metabolites and metabolic pathway changes during DENV infection using liquid chromatography- (LC-MS) and gas chromatography-mass spectrometry (GC-MS). And identify the hub differentially expressed targets associated with major metabolism pathways combining transcriptomics. Methods: Plasma from adult patients infected with DENV infection was characterized by untargeted metabolomics using LC-MS and GC-MS. Potential diagnostic biomarkers for dengue fever were indicated using ROC curve analysis. KEGG and GSEA functional enrichment analysis was the strategy to determine the mechanisms of key metabolic pathways in dengue fever. Potential targets were identified by combining transcriptomic in Gene Expression Omnibus (GEO) datasets, and gene databases from GeneCards and the Comparative Toxicogenomics Database (CTD). Results: A total of 41 dengue patients and 23 healthy volunteers were recruited for the study. 61 up-regulated and 136 down-regulated metabolites were identified via untargeted metabolomics. The top10 up-regulated metabolites with high AUC values included trans-cinnamic acid, L-Acetylcarnitine, SM(d17:1/17:0), 1,2,4,5-cyclohexanetetrol, 5-(hydroxymethyl) pyrrolidin-2-one, 1,2,3,4-tetrahydro-6-propanoylpyridine, 2-C-methyl-D-erythritol-4-phosphate, Physalolactone, S-Japonin, and 9-tridecynoic acid, and they were supposed to be the potential diagnostic biomarkers for dengue fever. The disturbance of ATP-binding cassette (ABC) transporters, protein digestion and absorption, aminoacyl-tRNA biosynthesis, mineral absorption, and D-amino acid metabolism were enriched in the metabolic pathways. ABCC5, ABCB1, and ABCG5 were identified as hub differentially expressed targets through transcriptome profiling and protein-protein interaction networks. Conclusions: The current study revealed a shift in metabolite profiles and disturbance in ABC transporters in dengue fever, which can be used for further functional verification.

Indexed as

ATP-Binding Cassette TransportersDengueMetabolomicsTranscriptomeAdultBiomarkersChromatography, LiquidDengue VirusFemaleGas Chromatography-Mass SpectrometryGene Expression ProfilingHumansMaleMetabolic Networks and PathwaysMetabolomeATP-Binding Cassette TransportersBiomarkersABC transportersdengue fevermetabolic biomarkerstranscriptomicsuntargeted metabolomics

Identifiers

PMID41756409
PMCPMC12932462

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.