Evidence map›Paper›PMID 42780538›Full record

ArticleFrontiers in endocrinology2026

Metabolomics identifies candidate diagnostic biomarkers for pituitary apoplexy.

Rui Xu, Shan Xie, Chenxi Li, Bowen Shang, Dongqi Shao, Yaning Chen, Hao Lang, Tianyang Wu, Yu Li, Henian Li and 2 more

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Article in Frontiers in endocrinology, 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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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Rui Xu *The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Shan Xie *Department of Neurosurgery, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Chenxi Li *The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Bowen Shang *The First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Dongqi ShaoDepartment of Neurosurgery, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Yaning ChenThe First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Hao LangThe First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Tianyang WuThe First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Yu LiDepartment of Neurosurgery, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Henian LiThe First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Xialin ZhengDepartment of Neurosurgery, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.
Zhiquan JiangDepartment of Neurosurgery, the First Affiliated Hospital of Bengbu Medical University, Bengbu, Anhui, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Pituitary apoplexy is a clinical emergency resulting from hemorrhage or infarction of a pituitary adenoma, which leads to a sudden increase in tumor volume, acute neuroendocrine dysfunction, and local compressive symptoms. In severe cases, it may be life-threatening. The diagnosis of this condition remains challenging, especially in patients without a prior history of pituitary disease, and reliable serum biomarkers are currently lacking. Metabolomics enables the systematic identification of metabolic alterations under physiological and pathological conditions, thereby providing a powerful tool for elucidating disease mechanisms and discovering diagnostic biomarkers. Methods: In this study, untargeted metabolomics analysis using UPLC-MS/MS was performed on serum samples collected from 39 patients with nonapoplectic pituitary adenoma and 11 patients with pituitary apoplexy. Principal component analysis (PCA) and orthogonal partial least squares discriminant analysis (OPLS-DA) were applied to assess differences in metabolic profiles between the two groups. Differential metabolites were identified based on variable importance in projection (VIP > 1) and an independent-samples Results: Compared with the nonapoplectic pituitary adenoma group, the pituitary apoplexy group showed distinct serum metabolic profiles, with 92 metabolites upregulated and 310 metabolites downregulated. Further analysis revealed two key differential metabolites-glycerol-3-phosphate (G-3-P) and Conclusions: This study reveals distinct serum metabolic profiles between the pituitary apoplexy group and the nonapoplectic pituitary adenoma group, offering novel metabolic insights into the pathogenesis of pituitary apoplexy.

Indexed as

AdenomaBiomarkersMetabolomeMetabolomicsPituitary ApoplexyPituitary NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedTandem Mass SpectrometryBiomarkersbiomarkersglycerol-3-phosphateN-Acetyl-D-galactosaminepituitary apoplexyuntargeted metabolomics

Identifiers

PMID42780538
PMCPMC13597359

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