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ArticleEuropean archives of psychiatry and clinical neuroscience2026

The neutrophil-to-lymphocyte ratio: a psychoneuroimmunological nexus linking depression and cardiovascular comorbidity.

Chengyu Du, Hongyue Zhao, Yelei Han, You Yu, Rui Yu

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Article in European archives of psychiatry and clinical neuroscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Chengyu DuLiaoning University of Chinese Medicine, Shenyang, 110032, China.
Hongyue ZhaoLiaoning University of Chinese Medicine, Shenyang, 110032, China.
Yelei HanLiaoning University of Chinese Medicine, Shenyang, 110032, China.
You YuLiaoning University of Traditional Chinese Medicine Affiliated Second Hospital, Shenyang, 110034, China. yuyou_lnzy@163.com.
Rui YuLiaoning University of Chinese Medicine, Shenyang, 110032, China. ruiyu19690923@163.com.

Funding

Liaoning Provincial Department of Science and Technology Joint Fund Doctoral Research Start-up Project No. 2023-BSBA-214Liaoning Provincial Doctoral Research Start-up Fund Program No. 2025-BS-0710Liaoning Provincial Science and Technology Plan Project No. 2023JH2/101600030the National Natural Science Foundation of China No. 82274494the National Natural Science Foundation of China No.82505715
6 · The paper itself

Abstract

backgroundA significant worldwide health concern linked to ongoing low-grade inflammatory processes is depression concomitant with cardiovascular disease (CVD). There aren't many pertinent clinical biomarkers, though. This study aims to clarify the underlying mechanisms of the neutrophil-to-lymphocyte ratio (NLR) and ascertain if it is associated with depression-CVD comorbidity.

methodsMultivariable logistic regression and restricted cubic spline (RCS) analysis were used to examine the nonlinear connection between NLR and depression-cardiovascular comorbidity based on data from the National Health and Nutrition Examination Survey (NHANES). Predictive models were built using seven machine learning techniques, and the outcomes were interpreted using SHapley Additive exPlanations (SHAP). Gene function and pathway enrichment analyses were carried out following network pharmacology screening for core targets.

resultsNLR and depression-CVD comorbidity were shown to be significantly correlated (highest quartile odds ratio = 1.44). In terms of prediction, the logistic regression model performed better (AUC = 0.88). Ten important targets, including TNF and IL-6, were found via network pharmacological analysis. These targets were found to be strongly linked to the AGE-RAGE signalling cascade, lipid metabolism, inflammatory reactions, and atherosclerosis, according to enrichment analysis.

conclusionNLR may be a biomarker for the co-occurrence of depression and CVD. Its activities are part of an immunological, metabolic, and inflammatory network that is controlled by important targets like TNF and IL-6. The study offers a fresh viewpoint on the pathophysiology, early identification, and focused management of this comorbidity.

Indexed as

Cardiovascular DiseasesDepressionLymphocytesNeutrophilsComorbidityFemaleHumansMachine LearningMaleMiddle AgedNutrition SurveysDepression and cardiovascular disease comorbidityInflammation-immune processesMachine learningNetwork pharmacologyNeutrophil-to-lymphocyte ratio

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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.