Evidence map›Paper›PMID 42429294›Full record

ArticleBiomedical chromatography : BMC2026

Dynamic Metabolic Profiling and Diagnostic Biomarkers of Acute Graft-Versus-Host Disease Based on Metabolomics.

Ruigeng Yang, Lei Wang, Nannan Li, Shufeng Li, Jiancheng Fang, Wenli Sun, Chunfei Jiang, Meng Li, Xiaofei Luo, Yang Xue and 2 more

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Ruigeng YangDepartment of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China.
Lei WangDepartment of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China.
Nannan LiDepartment of Bone Marrow Transplant, Hebei Yanda Lu Daopei Hospital, Langfang, China.
Shufeng LiBeijing Hexin Technology co., Ltd, Beijing, China.
Jiancheng FangDepartment of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China.
Wenli SunDepartment of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China.
Chunfei JiangDepartment of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China.
Meng LiDepartment of Laboratory Medicine, Beijing Lu Daopei Hospital, Beijing, China.
Xiaofei LuoBeijing Hexin Technology co., Ltd, Beijing, China.
Yang XueDepartment of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China.
Jing LongBeijing Lu Daopei Institute of Hematology, Beijing, China.ORCID https://orcid.org/0009-0006-7964-3181
Hongxing LiuDepartment of Laboratory Medicine, Hebei Yanda Lu Daopei Hospital, Langfang, China.ORCID https://orcid.org/0000-0002-0547-5721

Funding

Science and Technology Research and Development Program of Langfang 2024013100
6 · The paper itself

Abstract

This study utilized LC-MS/MS-based metabolomics to characterize the dynamic metabolic changes associated with the onset and progression of acute graft-versus-host disease (aGVHD), aiming to identify potential noninvasive biomarkers for diagnosis and prognostic assessment. A total of 110 patients with AML who underwent allogeneic hematopoietic stem cell transplantation (allo-HSCT) were enrolled in the study. Plasma samples from these patients were analyzed using an untargeted metabolomics platform. Differential metabolites and their clinical relevance were investigated using multiple statistical approaches, including pathway enrichment, hierarchical clustering, and ROC curve analysis. The results showed that compared with patients without aGVHD, 36 plasma metabolites were significantly dysregulated in those with aGVHD (VIP > 1, p < 0.05). Among these, six glycerophospholipids-PC(P-16:0/18:1), PC(20:4/20:4), PC(16:0/16:0), PC(18:0/20:3), PE(P-18:0/20:5), and PC(o-16:1/18:0)-exhibited regular alterations across different stages of aGVHD. The combined AUC under the six metabolites was 0.960, highlighting their strong diagnostic potential. Multivariate analysis further indicated that this six-metabolite signature was predictive of 4-year overall survival, with several metabolites serving as independent prognostic factors. In conclusion, these six glycerophospholipid metabolites display dynamic changes during aGVHD progression and hold promise as noninvasive biomarkers for both diagnosis and prognostic stratification. Validation in larger patient cohorts is warranted to confirm these findings.

Indexed as

BiomarkersGraft vs Host DiseaseMetabolomeMetabolomicsAdolescentAdultFemaleGlycerophospholipidsHematopoietic Stem Cell TransplantationHumansLiquid Chromatography-Mass SpectrometryMaleMiddle AgedTandem Mass SpectrometryYoung AdultBiomarkersGlycerophospholipidsaGVHDbiomarkerglycerophospholipid metabolitesmetabolomics

Identifiers

PMID42429294
PMCPMC13353037

What Socratic holds

Textmetadata
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.