Literature DB >> 32116029

Plasma levels of nesfatin-1 as a new biomarker in depression in Asians: evidence from meta-analysis.

Min Liu1, Xiaoli Shen2, Xixun Du1, Hong Jiang1.   

Abstract

Objective: This study aims to review the alteration of plasma nesfatin-1 levels in patients with depression.
Methods: Under the guidance of the latest PRISMA checklist, a systematic review and meta-analysis were conducted by searching English database (PubMed, Web of Science, EMDASE) and Chinese database for relevant studies up to August, 2019. Pooled standardised mean difference (SMD) with 95% confidence intervals (CI) was calculated with the random effects model.
Results: Nine studies that reported the association between plasma levels of nesfatin-1 and the risk of depression with 567 patients and 447 control participants were included in the meta-analysis. Compared with the healthy controls, depressive patients had a higher plasma level of nesfatin-1 [SMD (95% CI):1.58(0.75, 2.41), Z = 3.74, p for Z < 0.001; I2 = 96.8%, p for I2 < 0.001]. The subgroup analyses and meta-regression failed to find the source of the heterogeneity. No evidence of publication bias was found either in Begg's test (p = 0.348) or the Egger's test (p = 0.523).
Conclusion: The present meta-analysis indicated that a higher plasma level of nesfatin-1 was associated with an increased risk of depression.

Entities:  

Keywords:  Plasma nesfatin-1; biomarkers; depression; diagnosis; meta-analysis

Mesh:

Substances:

Year:  2020        PMID: 32116029     DOI: 10.1080/1354750X.2020.1736157

Source DB:  PubMed          Journal:  Biomarkers        ISSN: 1354-750X            Impact factor:   2.658


  2 in total

Review 1.  "Sibling" battle or harmony: crosstalk between nesfatin-1 and ghrelin.

Authors:  Xi Chen; Jing Dong; Qian Jiao; Xixun Du; Mingxia Bi; Hong Jiang
Journal:  Cell Mol Life Sci       Date:  2022-03-03       Impact factor: 9.261

2.  Serum Cortisol, Nesfatin-1, and IL-1β: Potential Diagnostic Biomarkers in Elderly Patients with Treatment-Resistant Depression.

Authors:  Xiaoping Wu; Biao Dai; Fanfan Yan; Yang Chen; Yayun Xu; Qingrong Xia; Xulai Zhang
Journal:  Clin Interv Aging       Date:  2022-04-21       Impact factor: 3.829

  2 in total

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