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首发精神障碍中新型血清炎症生物标志物的回顾性评估:诊断潜力与免疫失调

Retrospective evaluation of novel serum inflammatory biomarkers in first-episode psychiatric disorders: diagnostic potential and immune dysregulation.

作者信息

Qiu Min, Zhang Chenkai, Zhang Haiqing, Chen Hao, Lei Yingjia, Li Ping, Zhang Shaochuan

机构信息

Department of Clinical Laboratory, The Mental Health Center of Kunming Medical University, Kunming, China.

Department of Clinical Laboratory, Yunnan Fuwai Cardiovascular Hospital, Kunming, China.

出版信息

Front Psychiatry. 2024 Dec 11;15:1442954. doi: 10.3389/fpsyt.2024.1442954. eCollection 2024.

DOI:10.3389/fpsyt.2024.1442954
PMID:39722850
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11668741/
Abstract

BACKGROUND

This study assessed the diagnostic capabilities of eight inflammatory biomarkers in first-episode schizophrenia (SCZ), bipolar disorder (BD), and depression (D), examining their differential expression across these psychiatric disorders. The markers studied include neutrophils/lymphocyte ratio (NLR), aggregate index of systemic inflammation (AISI), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), lymphocytes/high-density lipoprotein (HDL) ratio (LHR), monocytes/HDL ratio (MHR), neutrophils/HDL ratio (NHR), and platelets/HDL ratio (PHR).

METHODS

We conducted a retrospective observational study involving 335 individuals with SCZ, 68 with BD, 202 with D, and 282 healthy controls (C) to evaluate hematologic parameters from untreated patients and controls.

RESULTS

Significant differences in biomarker levels were found between patient groups and controls. Logistic regression analysis indicated that NHR and MHR ( < 0.001), as well as LHR and NLR ( < 0.01), were predictive factors for SCZ. MHR was a predictive factor for BD ( < 0.05). NHR ( < 0.01) and MHR ( < 0.001) were predictive factors for distinguishing between D and C. The area under the curve (AUC) value of the NHR + MHR + NLR composite index model for the SCZ group was 0.846 ( < 0.001). In the BD group, the AUC value for the MHR was 0.816 ( < 0.001). The D group's combined AUC value of NHR + MHR was 0.824 ( < 0.001).

CONCLUSION

This study highlights the diagnostic value of inflammatory biomarkers in distinguishing SCZ, BD, and D based on their differential expression.

摘要

背景

本研究评估了八种炎症生物标志物在首发精神分裂症(SCZ)、双相情感障碍(BD)和抑郁症(D)中的诊断能力,研究了它们在这些精神疾病中的差异表达。所研究的标志物包括中性粒细胞/淋巴细胞比值(NLR)、全身炎症聚集指数(AISI)、全身免疫炎症指数(SII)、全身炎症反应指数(SIRI)、淋巴细胞/高密度脂蛋白(HDL)比值(LHR)、单核细胞/HDL比值(MHR)、中性粒细胞/HDL比值(NHR)和血小板/HDL比值(PHR)。

方法

我们进行了一项回顾性观察研究,纳入了335例SCZ患者、68例BD患者、202例D患者和282名健康对照(C),以评估未治疗患者和对照的血液学参数。

结果

患者组与对照组之间的生物标志物水平存在显著差异。逻辑回归分析表明,NHR和MHR(<0.001)以及LHR和NLR(<0.01)是SCZ的预测因素。MHR是BD的预测因素(<0.05)。NHR(<0.01)和MHR(<0.001)是区分D与C的预测因素。SCZ组NHR + MHR + NLR复合指数模型的曲线下面积(AUC)值为0.846(<0.001)。在BD组中,MHR的AUC值为0.816(<0.001)。D组NHR + MHR的联合AUC值为0.824(<0.001)。

结论

本研究强调了炎症生物标志物基于其差异表达在区分SCZ、BD和D方面的诊断价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c10/11668741/1e7ac58ff090/fpsyt-15-1442954-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c10/11668741/5f949836fd1f/fpsyt-15-1442954-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c10/11668741/1e7ac58ff090/fpsyt-15-1442954-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c10/11668741/5f949836fd1f/fpsyt-15-1442954-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4c10/11668741/1e7ac58ff090/fpsyt-15-1442954-g002.jpg

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