Evidence map›Paper›PMID 41593562›Full record

ArticleBMC psychiatry2026

Effects of serum hypersensitive C-reactive protein and BMI on cognitive dysfunction in first-episode and drug-naive patients with major depressive disorder.

Jingping Wu, Yuanyuan Huang, Hongxin Lu, Hehua Li, Sumiao Zhou, Zhendong Zhang, Ziyun Zhang, Shixuan Feng, Chenyu Liu, Lam Mei Fong and 2 more

Abstract read
In one paragraph

Article in BMC psychiatry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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

  1. Pooled it
  2. Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Article
  5. Article
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.

Jingping Wu *Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Yuanyuan Huang *Department of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Hongxin LuDepartment of Psychiatry, Longyan Third Hospital of Fujian Province Department of Psychiatric Medicine, Longyan, Fujian, 364030, China.
Hehua LiDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Sumiao ZhouDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Zhendong ZhangDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Ziyun ZhangDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Shixuan FengDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Chenyu LiuDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Lam Mei FongPsychiatric Service of the Centro Hospitalar Conde de São Januário, Macao, 999078, China.
Kai WuDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China.
Fengchun WuDepartment of Psychiatry, The Affiliated Brain Hospital, Guangzhou Medical University, No. 36 Ming Xin Road, Liwan District, Guangzhou, Guangdong, 510370, China. 13580380071@163.com.

Funding

Clinical Collaboration Project on Integrated Traditional Chinese and Western Medicine for Major and Difficult Diseases Bipolar Disorder, ZDYN-2024-A-121Construction Project of the 'Flagship' Department of Chinese and Western Medicine Coordination Hanw/2024-221Guangzhou Key Clinical Specialty Clinical Medical Research InstituteKey-Area Research and Development Program of Guangdong Province 2023B0303020001National Key Research and Development Program of China 2025YFC3410000, 2025YFC3410005National Natural Science Foundation of China 82301688Natural Science Foundation of Guangdong 2025A1515010507, 2023A1515011383Research capacity improvement project of Guangzhou Medical University 2024SRP200Science and Technology Program of Guangzhou 2025A03J3357
6 · The paper itself

Abstract

backgroundMajor Depressive Disorder (MDD) is among the most prevalent psychiatric disorders worldwide, contributing substantially to global disease burden and disability. Besides its core symptoms, the cognitive dysfunction in MDD patients seriously impairs their social functioning and warrants attention. Cognitive dysfunction in MDD may be related to demographic characteristics, serum inflammatory indices levels and Body Mass Index (BMI, calculated as weight divided by height squared, in kg/m²). This study focuses on the cognitive dysfunction and its associated factors in first-episode, drug-naive patients with MDD.

methodsThe study enrolled overall 116 first-episode, drug-naive patients with MDD and 100 healthy controls (HC) for comparison. Demographic information was obtained from all participants. We used the Chinese version of the MATRICS Consensus Cognitive Battery (MCCB) to assess cognitive function and the 17-item Hamilton Depression Rating Scale (HAMD-17) to evaluate MDD symptoms. Levels of serum inflammatory indices, such as hypersensitive C-reactive protein (hs-CRP), leukocyte (WBC), neutrophil, and eosinophil were measured. Subsequently, multiple linear regression analysis was utilized to determine factors linked to cognitive dysfunction across the five domains with MDD patients.

resultsIn this study, MDD patients exhibited significantly poorer cognitive function across five domains - speed of processing (SOP), attention/vigilance (AV), working memory (WM), verbal learning (VIS), and visual learning (VRB) - compared with HC (p < 0.001). Their serum levels of hs-CRP (p = 0.022), WBC (p = 0.015), and neutrophil (p < 0.001) were significantly elevated than HC, whereas the level of eosinophil (p = 0.031) was significantly lower. The results of Spearman correlation analysis indicated that BMI was connected to cognitive function among MDD patients, specifically in the domains of SOP (r = 0.274, p = 0.003) and AV (r = 0.189, p = 0.042). Multiple linear regression analysis indicated that education years and hs-CRP level were significantly influenced by the cognitive function in the VIS domain among patients with MDD.

conclusionOur study shows a potential link between serum hs-CRP levels, BMI and cognitive dysfunction in MDD patients. This finding establish serum hs-CRP and BMI as robust, clinically accessible correlates of cognitive dysfunction in MDD, supporting their potential utility as complementary indicators for identifying patients at highest risk of cognitive impairment. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Body Mass IndexCognitive DysfunctionC-Reactive ProteinMajor Depressive DisorderAdultCase-Control StudiesFemaleHumansMaleMiddle AgedNeuropsychological TestsYoung AdultC-Reactive ProteinBody mass indexCognitive dysfunctionMajor depressive disorderSerum hypersensitive C-reactive protein

Identifiers

PMID41593562
PMCPMC12918109

What OpenQuestion 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 OpenQuestion graph.