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CRISP3在成人脓毒症中的上调及其临床价值:基于微阵列和两项回顾性队列研究的综合分析

Upregulation of CRISP3 and its clinical values in adult sepsis: a comprehensive analysis based on microarrays and a two-retrospective-cohort study.

作者信息

Zhang An-Qiang, Wen Da-Lin, Ma Xin-Xin, Zhang Fei, Chen Guo-Sheng, Maimaiti Kelimu, Xu Gang, Jiang Jian-Xin, Lu Hong-Xiang

机构信息

State Key Laboratory of Trauma, Burn and Combined Injury, Third Military Medical University, Chongqing, China.

Graduate School of Xinjiang Medical University, Urumuqi, China.

出版信息

Front Immunol. 2024 Nov 18;15:1492538. doi: 10.3389/fimmu.2024.1492538. eCollection 2024.

DOI:10.3389/fimmu.2024.1492538
PMID:39624089
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11609069/
Abstract

BACKGROUND

Current lines of evidence indicate that cysteine-rich secretory protein 3 (CRISP3) is an immunoregulatory factor. Nevertheless, no study has explored the relationships between the values of CRISP3 and sepsis.

METHODS

We conducted a comprehensive literature search and meta-analysis from the Gene Expression Omnibus (GEO) and ArrayExpress to determine the expression of CRISP3 in sepsis patients. Then, we explored whether plasma CRISP3 could serve as a potential biomarker to predict the risk of sepsis via two retrospective trauma cohorts. We evaluated the prediction power using the area under the curve (AUC).

RESULTS

A total of 23 datasets were recruited for the comprehensive meta-analysis, and the combined standardized mean difference (SMD) of CRISP3 was 0.90 (0.50-1.30) (p < 0.001), suggesting that CRISP3 was overexpressed in sepsis patients. Meanwhile, sepsis patients had higher CRISP3 concentrations than non-sepsis patients in 54 trauma patients (p < 0.001). Plasma CRISP3 on admission was significantly associated with the incidence of sepsis [OR = 1.004 (1.002-1.006), p < 0.001]. As a predictive biomarker, CRISP3 obtained a better AUC [0.811 (0.681-0.905)] than C-reactive protein (CRP) [0.605 (0.463-0.735)], procalcitonin (PCT) [0.554 (0.412-0.689)], and Sequential Organ Failure Assessment (SOFA) [0.754 (0.618-0.861)]. Additionally, the clinical relationships between plasma CRISP3 and sepsis were verified in another trauma cohort with 166 patients [OR = 1.002 (1.001-1.003), p < 0.001]. The AUC of CRISP3 was 0.772 (0.701-0.834), which was better than that of CRP [0.521 (0.442-0.599)] and PCT [0.531 (0.452-0.609)], but not SOFA [0.791 (0.717-0.853)].

CONCLUSION

Our study indicated and validated that CRISP3 was highly expressed in sepsis. More importantly, CRISP3 may serve as a latent biomarker to predict the risk of sepsis.

摘要

背景

目前的证据表明,富含半胱氨酸的分泌蛋白3(CRISP3)是一种免疫调节因子。然而,尚无研究探讨CRISP3值与脓毒症之间的关系。

方法

我们从基因表达综合数据库(GEO)和ArrayExpress进行了全面的文献检索和荟萃分析,以确定CRISP3在脓毒症患者中的表达。然后,我们通过两个回顾性创伤队列探讨血浆CRISP3是否可作为预测脓毒症风险的潜在生物标志物。我们使用曲线下面积(AUC)评估预测能力。

结果

共纳入23个数据集进行综合荟萃分析,CRISP3的合并标准化均值差(SMD)为0.90(0.50 - 1.30)(p < 0.001),表明CRISP3在脓毒症患者中过表达。同时,在54例创伤患者中,脓毒症患者的CRISP3浓度高于非脓毒症患者(p < 0.001)。入院时血浆CRISP3与脓毒症的发生率显著相关[比值比(OR) = 1.004(1.002 - 1.006),p < 0.001]。作为预测生物标志物,CRISP3获得的AUC[0.811(0.681 - 0.905)]优于C反应蛋白(CRP)[0.605(0.463 - 0.735)]、降钙素原(PCT)[0.554(0.412 - 0.689)]和序贯器官衰竭评估(SOFA)[0.754(0.618 - 0.861)]。此外,在另一个包含166例患者的创伤队列中验证了血浆CRISP3与脓毒症之间的临床关系[OR = 1.002(1.001 - 1.003),p < 0.001]。CRISP3的AUC为0.772(0.701 - 0.834),优于CRP[0.521(0.442 - 0.599)]和PCT[0.531(0.452 - 0.609)],但不如SOFA[0.791(0.717 - 0.853)]。

结论

我们的研究表明并验证了CRISP3在脓毒症中高表达。更重要的是,CRISP3可能作为预测脓毒症风险的潜在生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/29eacbaccbdc/fimmu-15-1492538-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/e3e5c2c44367/fimmu-15-1492538-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/c807e4cf4baa/fimmu-15-1492538-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/264a28c168dd/fimmu-15-1492538-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/29eacbaccbdc/fimmu-15-1492538-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/e3e5c2c44367/fimmu-15-1492538-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/c807e4cf4baa/fimmu-15-1492538-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/264a28c168dd/fimmu-15-1492538-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1bf3/11609069/29eacbaccbdc/fimmu-15-1492538-g004.jpg

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2
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Front Med (Lausanne). 2024 Aug 15;11:1431791. doi: 10.3389/fmed.2024.1431791. eCollection 2024.
3
Computational insights into CRISP3 downregulation in cervical cancer and its cervical lineages pattern.
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Precis Clin Med. 2024 Jul 24;7(3):pbae016. doi: 10.1093/pcmedi/pbae016. eCollection 2024 Sep.
4
Multi-omics landscapes reveal heterogeneity in long COVID patients characterized with enhanced neutrophil activity.多组学图谱揭示长新冠患者的异质性,其特征为中性粒细胞活性增强。
J Transl Med. 2024 Aug 12;22(1):753. doi: 10.1186/s12967-024-05560-6.
5
The pathogenesis and potential therapeutic targets in sepsis.脓毒症的发病机制及潜在治疗靶点
MedComm (2020). 2023 Nov 20;4(6):e418. doi: 10.1002/mco2.418. eCollection 2023 Dec.
6
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7
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8
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