The prognostic value of plasma nesfatin-1 concentrations in patients with traumatic brain injury

Wu, Gang-Qun; Chou, Xiao-Min; Ji, Wen-Jian; Yang, Xiaofei; Lan, Luo-Xin; Sheng, Yan-Jun; Shen, Yang-Fang; Lǐ, Jiànróng; Huang, Guozhong; Yu, Wenhua; Dong, Xiao-Qiao; Du, Qin; Yang, Dan; Zhang, Zu-Yong; Wang, Hao; Shen, Yong-Feng; Jiang, Li

doi:10.1016/j.cca.2016.05.001

Cited by 10 publications

(4 citation statements)

References 34 publications

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“…Both these phenotypes were also associated with NUCB2 , which encodes Nesfatin-1. NUCB2 is linked to inflammation and coagulopathies, and is correlated with mortality following brain injury [ 40 ]. As TCF7 and NUCB2 expression are associated with temporal headache in patients with GCA, these genes could also raise suspicion of poor visual outcome in patients presenting with temporal headache with GCA diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis

et al. 2018

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BackgroundGiant cell arteritis (GCA) is the most common form of vasculitis affecting elderly people. It is one of the few true ophthalmic emergencies but symptoms and signs are variable thereby making it a challenging disease to diagnose. A temporal artery biopsy is the gold standard to confirm GCA, but there are currently no specific biochemical markers to aid diagnosis. We aimed to identify a less invasive method to confirm the diagnosis of GCA, as well as to ascertain clinically relevant predictive biomarkers by studying the transcriptome of purified peripheral CD4+ and CD8+ T lymphocytes in patients with GCA.MethodsWe recruited 16 patients with histological evidence of GCA at the Royal Victorian Eye and Ear Hospital, Melbourne, Australia, and aimed to collect blood samples at six time points: acute phase, 2–3 weeks, 6–8 weeks, 3 months, 6 months and 12 months after clinical diagnosis. CD4+ and CD8+ T-cells were positively selected at each time point through magnetic-assisted cell sorting. RNA was extracted from all 195 collected samples for subsequent RNA sequencing. The expression profiles of patients were compared to those of 16 age-matched controls.ResultsOver the 12-month study period, polynomial modelling analyses identified 179 and 4 statistically significant transcripts with altered expression profiles (FDR < 0.05) between cases and controls in CD4+ and CD8+ populations, respectively. In CD8+ cells, two transcripts remained differentially expressed after 12 months; SGTB, associated with neuronal apoptosis, and FCGR3A, associatied with Takayasu arteritis. We detected genes that correlate with both symptoms and biochemical markers used for predicting long-term prognosis. 15 genes were shared across 3 phenotypes in CD4 and 16 across CD8 cells. In CD8, IL32 was common to 5 phenotypes including Polymyalgia Rheumatica, bilateral blindness and death within 12 months.ConclusionsThis is the first longitudinal gene expression study undertaken to identify robust transcriptomic biomarkers of GCA. Our results show cell type-specific transcript expression profiles, novel gene-phenotype associations, and uncover important biological pathways for this disease. In the acute phase, the gene-phenotype relationships we have identified could provide insight to potential disease severity and as such guide in initiating appropriate patient management.Electronic supplementary materialThe online version of this article (10.1186/s12920-018-0376-4) contains supplementary material, which is available to authorized users.

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Section: Discussionmentioning

confidence: 99%

Longitudinal expression profiling of CD4+ and CD8+ cells in patients with active to quiescent giant cell arteritis

et al. 2018

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“…Nesfatin-1 is related to inflammation and is an independent predictor for hospital mortality. Its concentrations in plasma are related to the severity of TBI, and it has the potential to become a reliable prognostic marker for these injuries [ 2 ]. Resistin, commonly referred to as adipocyte-secreted factor (ADSF), is an adipose tissue-specific secretory factor.…”

Section: Reviewmentioning

confidence: 99%

“…Traumatic brain injury (TBI) is responsible for the majority of trauma-related deaths and is a leading cause of disability [ 1 ]. It is characterized by an inflammatory process involved in the progression of secondary brain injury [ 2 ]. Clinically, it is measured by the Glasgow Coma Scale (GCS), a scoring system that relies on categories of eye-opening, verbal response, and motor response [ 3 ].…”

Section: Introductionmentioning

confidence: 99%

“…Studies have reported elevated levels of inflammatory cytokines such as IL-6 and IL-8 in severe TBI [ 4 , 6 ]. In addition, TBI can cause dysregulation of the endocrine system, thus leading to an array of symptoms [ 2 , 7 , 8 ]. Lastly, protein markers such as S100 calcium binding protein B (S100B) have been extensively studied [ 9 - 13 ].…”

Section: Introductionmentioning

confidence: 99%

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Systematic Review of Serum Biomarkers in Traumatic Brain Injury

Mozaffari¹,

Dejam²,

Duong³

et al. 2021

Cureus

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Traumatic brain injury (TBI) is responsible for the majority of trauma-related deaths and is a leading cause of disability. It is characterized by an inflammatory process involved in the progression of secondary brain injury. TBI is measured by the Glasgow Coma Scale (GCS) with scores ranging from 15-3, demonstrating mild to severe brain injury. Apart from this clinical assessment of TBI, compendiums of literature have been published on TBI-related serum markers.Herein we create a comprehensive appraisal of the most prominent serum biomarkers used in the assessment and care of TBI.The PubMed, Scopus, Cochrane, and Web of Science databases were queried with the terms “biomarker” and “traumatic brain injury” as search terms with only full-text, English articles within the past 10 years selected. Non-human studies were excluded, and only adult patients fell within the purview of this analysis. A total of 528 articles were analyzed in the initial search with 289 selected for screening. A further 152 were excluded for primary screening. Of the remaining 137, 54 were included in the final analysis. Serum biomarkers were listed into the following broad categories for ease of discussion: immune markers and markers of inflammation, hormones as biomarkers, coagulation and vasculature, genetic polymorphisms, antioxidants and oxidative stress, apoptosis and degradation pathways, and protein markers. Glial fibrillary acidic protein(GFAP), S100, and neurons specific enolase (NSE) were the most prominent and frequently cited markers. Amongst these three, no single serum biomarker demonstrated neither superior sensitivity nor specificity compared to the other two, therefore noninvasive panels should incorporate these three serum biomarkers to retain sensitivity and maximize specificity for TBI.

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