Evidence map›Paper›PMID 36245866›Full record

ArticleFrontiers in psychiatry2022

Plasma metabolomics of schizophrenia with cognitive impairment: A pilot study.

Yihe Jiang, Xiujia Sun, Miaowen Hu, Lei Zhang, Nan Zhao, Yifeng Shen, Shunying Yu, Jingjing Huang, Huafang Li, Wenjuan Yu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 12% of its field
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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Review
  5. Article
  6. Article
  7. Effects of antipsychotic drugs on energy metabolism.European archives of psychiatry and clinical neuroscience · 2024
    Article
  8. Article
  9. Review
  10. Observational
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

10 authors at 4 institutions in 1 country.

Yihe JiangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Xiujia SunShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Miaowen HuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Lei ZhangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Nan ZhaoShanghai Pudong New Area Mental Health Center, School of Medicine, Tongji University, Shanghai, China.
Yifeng ShenShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shunying YuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Jingjing HuangShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Huafang LiShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Wenjuan YuShanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Shanghai Jiao Tong University · CNShanghai Mental Health Center · CNShanghai Clinical Research Center · CNTongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Schizophrenia (SCZ) acts as a complex and burdensome disease, in which the functional outcome can be validly predicted by cognitive impairment, as one of the core features. However, there still lack considerable markers of cognitive deficits in SCZ. Based on metabolomics, it is expected to identify different metabolic characteristics of SCZ with cognitive impairment. In the present study, 17 SCZ patients with cognitive impairment (CI), 17 matched SCZ patients with cognitive normal (CN), and 20 healthy control subjects (HC) were recruited, whose plasma metabolites were measured using ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). The result of metabolic profiling indicated the identification of 46 differentially expressed metabolites between HC, CN, and CI groups, with 7 differentially expressed metabolites between CN and CI groups. Four differential metabolites (imidazolepropionic acid, Homoserine, and Aspartic acid) were repeatedly found in both screenings, by which the formed biomarker panel could discriminate SCZ with cognitive impairment from matched patients (AUC = 0.974) and health control (AUC = 0.841), respectively. Several significant metabolic pathways were highlighted in pathway analysis, involving Alanine, aspartate and glutamate metabolism, D-glutamine and D-glutamate metabolism, and Citrate cycle (TCA cycle). In this study, several differentially expressed metabolites were identified in SCZ with cognitive impairment, providing novel insights into clinical treatment strategies.

Indexed as

biomarkercognitive impairmentmetabolomicsSchizophreniaUPLC-MS/MS

Identifiers

PMID36245866
PMCPMC9554540
OpenAlexW4297546027

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.