Literature DB >> 26891661

Biomarkers in Post-stroke Depression.

Vinicius Sousa Pietra Pedroso, Milene Alvarenga Rachid, Antonio Lucio Teixeira1.   

Abstract

Depression is the most frequent neuropsychiatric complication after a stroke. Post-stroke depression has a significant impact on the outcome and prognosis of affected patients. Its diagnosis is complex and currently based only on clinical parameters. In recent years, efforts have been made to find biomarkers related to post-stroke outcomes, including complications such as depression. We carried out a systematic review of the literature looking for studies that investigated biomarkers associated with post-stroke depression (PSD) in Medline, Lilacs and PsycInfo databases. The results of 37 studies are discussed, describing the evidence for each evaluated biomarker. In conclusion, no evidence was found supporting the use of a particular biomarker for PSD. However, several changes were observed in inflammatory balance, oxidative stress, glutamatergic neurotransmission, production of neurotrophic factors, and genetic susceptibility that can be related to PSD. Research in the area of post-stroke biomarkers has the potential to provide personalized approach of stroke patients, also aiding in the diagnosis and understanding of the pathophysiology of this common neuropsychiatric complication.

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Year:  2016        PMID: 26891661     DOI: 10.2174/1567202613666160219120114

Source DB:  PubMed          Journal:  Curr Neurovasc Res        ISSN: 1567-2026            Impact factor:   1.990


  5 in total

1.  Depression Comorbid With Stroke, Traumatic Brain Injury, Parkinson's Disease, and Multiple Sclerosis: Diagnosis and Treatment.

Authors:  Susan K Conroy; Katherine B Brownlowe; Thomas W McAllister
Journal:  Focus (Am Psychiatr Publ)       Date:  2020-04-23

2.  Point of Care Test Technology Suitable for Early Detection and Monitoring of Ischemic Stroke.

Authors:  Young Mi Lee; Mi Jung Bae; Ye Seul Choi; Eunmi Lee; Junghwan Cho; Myung-Gwan Kim; Minh Tan Le; Thi Hong Duc Nguyen; Hyung Soo Han; Nora Jee-Young Park; Gun Oh Chong
Journal:  Curr Neurovasc Res       Date:  2021       Impact factor: 2.294

3.  Predictors of cerebrovascular event reoccurrence in patients with depression: a retrospective cohort study.

Authors:  Wa Cai; Christoph Mueller; Hitesh Shetty; Gayan Perera; Robert Stewart
Journal:  BMJ Open       Date:  2020-01-07       Impact factor: 2.692

Review 4.  Matrix Metalloproteinase-9 as an Important Contributor to the Pathophysiology of Depression.

Authors:  Hongmin Li; Zhaofu Sheng; Suliman Khan; Ruiyi Zhang; Yang Liu; Yan Zhang; V Wee Yong; Mengzhou Xue
Journal:  Front Neurol       Date:  2022-03-18       Impact factor: 4.003

5.  Predictive Value of Red Blood Cell Distribution Width in Poststroke Depression.

Authors:  Ming Dai; Qiyao Wei; Yuxin Zhang; Chuanqin Fang; Ping Qu; Lei Cao
Journal:  Comput Math Methods Med       Date:  2021-07-19       Impact factor: 2.238

  5 in total

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