Evidence map›Paper›PMID 40901264›Full record

ArticleFrontiers in psychiatry2025

The link between systemic inflammation and mental disorders: a study on CLR, depression, and anxiety in a US cohort.

Yue Su, Yuhan Ge, Hui Yang, Guojie Zhai, Xiaolan Cheng

Abstract read
In one paragraph

Article in Frontiers in psychiatry, 2025. 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
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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

5 authors.

Yue SuSchool of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Yuhan GeSchool of Health Preservation and Rehabilitation, Nanjing University of Chinese Medicine, Nanjing, China.
Hui YangSchool of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.
Guojie ZhaiDepartment of Neurology, Suzhou Ninth People's Hospital, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, China.
Xiaolan ChengSchool of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Depression and anxiety are significant global health concerns, with systemic inflammation playing a critical role in their pathophysiology. Recent studies have highlighted the C-reactive protein to lymphocyte ratio (CLR) as a potential biomarker of inflammation that may be associated with these mental health conditions. However, the relationship between CLR and depression and anxiety, especially within a diverse population, remains underexplored. Methods: This study utilized data from the National Health and Nutrition Examination Survey (NHANES) (2015-2023) to examine the association between CLR and the prevalence of depression and anxiety. A total of 22,308 participants were included for depression analysis, and 16,138 participants were included for anxiety analysis. Depression was assessed using the PHQ-9, and anxiety was assessed through self-reported anxiety symptoms and medication use. CLR was calculated as the ratio of C-reactive protein to lymphocyte count, and logistic regression models were applied to analyze associations, adjusting for demographic and health-related variables. Results: Higher CLR levels were significantly associated with increased odds of depression (OR: 1.49; 95% CI: 1.25-1.78) and anxiety (OR: 1.13; 95% CI: 1.02-1.26) after full adjustment for confounders. Non-linear relationships were observed, with specific inflection points for both depression (CLR = 0.96) and anxiety (CLR = 0.88), beyond which the risk of mental health disorders increased sharply. Subgroup analyses revealed that younger individuals and those without hypertension showed stronger associations between CLR and depression. Conclusion: Elevated CLR is associated with an increased risk of depression and anxiety, suggesting the potential role of systemic inflammation in influencing mental health outcomes. CLR may serve as a useful biomarker for identifying populations at higher risk, underscoring the need for further research into early intervention strategies and targeted approaches to address systemic inflammation in mental health care.

Indexed as

anxietyC-reactive protein to lymphocyte ratiodepressioninflammationmental healthNHANES

Identifiers

PMID40901264
PMCPMC12399671

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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 Socratic graph.