Evidence map›Paper›PMID 41767617›Full record

ArticleNeuropsychiatric disease and treatment2026

Association Between Clinical Symptoms and Inflammatory Markers in First-Episode Unmedicated Patients with Major Depressive Disorder.

Huarui Guan, Jingyao Sun, Jun Cheng, Long Chen, Yueming Zhao, Xiao Yang, DongMei Wang, Xulai Zhang

Abstract read
In one paragraph

Article in Neuropsychiatric disease and treatment, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
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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

8 authors.

Huarui GuanSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Jingyao SunSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Jun ChengSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Long ChenDepartment of Psychiatry, Anhui Mental Health Center, Hefei Fourth People's Hospital, Hefei, Anhui, People's Republic of China.ORCID 0009-0005-9441-8356
Yueming ZhaoSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.
Xiao YangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.
DongMei WangMental Health Key Laboratory, Institute of Psychology, Chinese Academy of Sciences, Beijing, People's Republic of China.
Xulai ZhangSchool of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression represents a serious psychiatric disorder globally, imposing significant burdens on patients'daily lives. Numerous hypotheses including the inflammatory hypothesis. Changes in inflammatory factors within the bodies of individuals with depression may represent a key biological mechanism. Multiple clinical investigations have demonstrated that pro-inflammatory cytokine levels in the peripheral blood of depressed patients are markedly higher than in healthy controls, with the degree of elevation in these inflammatory markers positively correlating with the severity of depressive symptoms. We shall examine changes in specific pro-inflammatory and anti-inflammatory factors. Method: We employed the enzyme-linked immunosorbent assay (ELISA) to detect inflammatory cytokine levels in subject's serum samples. Clinical symptoms were assessed using the Childhood Trauma Questionnaire (CTQ), the 17-item Hamilton Depression Rating Scale (HAMD-17), and the Quick Inventory of Depressive Symptomatology (Self-Rating) (QIDS-SR16). Results: Compared to the healthy group, the depression group exhibited a significantly higher IFN-γ and IL-17 (p<0.05) and lower IL-4, MCP-1, MIP-1β, and IL-8 (p<0.05). Serum IL-4 levels showed significant positive correlations with HAMD-17 score (p=0.03), QIDS-SR 16 scores (p=0.009). IL-17 level was positively correlated with the QIDS-SR16 score (p=0.04). Several markers showed significant discriminatory power. IL-4 demonstrated the highest AUC of 0.72 (P < 0.01), with a sensitivity of 87.10% and specificity of 51.61%, indicating a moderate predictive value for depression. Conclusion: The distinct inflammatory profile-characterized by elevated IFN-γ/IL-17 and reduced IL-4/MCP-1/IL-8/MIP-1β-in first-episode MDD patients underscores the role of immune imbalance in early depression pathophysiology. The strong association of IL-4 with symptom severity and its high sensitivity for disease identification highlight its potential as a valuable clinical biomarker. These findings support further investigation into immune-based stratification of MDD patients, which could pave the way for more personalized diagnostic and therapeutic strategies targeting specific inflammatory pathways".

Indexed as

depressionIL-17IL-4inflammatory cytokineMDD

Identifiers

PMID41767617
PMCPMC12948769

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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.