Evidence map›Paper›PMID 41872929›Full record

ArticleBiology direct2026

PHGDH mediated serine biosynthesis metabolism suppresses vascular calcification.

Liao Tan, Jie Liu, Ruizheng Shi, Yubo Liu

Abstract read
In one paragraph

Article in Biology direct, 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

4 authors.

Liao TanDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Jie LiuDepartment of Critical Care Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Ruizheng ShiDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
Yubo LiuDepartment of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China. liuyuboxy@csu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVascular calcification is a major pathological process driving cardiovascular morbidity and mortality, yet effective therapies are lacking. This study aims to identify novel causal plasma proteins and therapeutic targets for vascular calcification through an integrative multi-omics approach and to further explore their functional roles and regulatory mechanisms in vascular calcification.

methodsWe performed a high-throughput Mendelian randomization (MR) analysis using protein quantitative trait loci from two large-scale proteomic studies (deCODE and UKB-PPP) as genetic instruments. Summary-level data for vascular calcification were obtained from genome-wide association studies. Candidate proteins underwent rigorous sensitivity analyses, colocalization, and external replication. Transcriptomic data were analyzed to assess expression changes in calcified vascular smooth muscle cells. Functional validation and mechanism exploration was conducted in high-phosphate-induced human aortic smooth muscle cells (HASMCs) and a 5/6 nephrectomy mouse model of vascular calcification using siRNA, overexpression plasmids, and the pharmacological inhibitor NCT-503. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Phosphoglycerate DehydrogenaseSerineVascular CalcificationAnimalsGenome-Wide Association StudyHumansMiceMuscle, Smooth, VascularMyocytes, Smooth MuscleQuantitative Trait LociPhosphoglycerate DehydrogenaseSerineL-serineMendelian randomizationOxidative stressPhosphoglycerate dehydrogenaseVascular calcification

Identifiers

PMID41872929
PMCPMC13130525

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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 OpenQuestion graph.