Background: Stroke is one of the leading causes of disability worldwide. Early prediction of poststroke disability using clinical models is of great interest, especially in the rehabilitation field. Although some biomarkers and neuroimaging techniques have shown potential predictive value, there are still insufficient data to support their clinical utility in predicting poststroke functional recovery. We aimed to assess the value of serum biomarkers (C-reactive protein [CRP], D-dimer, fibrinogen, and S100β protein) in predicting medium-term (12 weeks) functional outcome in patients with acute ischemic stroke.
Methods: This is an observational, prospective study in a sample of patients hospitalized for ischemic stroke (N = 131). Peripheral blood levels of biomarkers of interest were determined at admission (CRP, D-dimer, and fibrinogen) or at 48 hours poststroke (S100β protein). Functional status was accessed at 48 hours and 12 weeks poststroke using the modified Rankin Scale (mRS).
Results: S100β protein levels measured at 48 hours were significantly associated with mRS scores at 12 weeks (odds ratio = 1.005, 95% confidence interval [CI] [1.005-1.007]; P <.001). This association was not seen for the remaining biomarkers of interest. The S100β cutoff for poor functionality at 12 weeks was 140.5 ng/L or more (sensibility 83.8%; specificity 71.4%; area under the curve = .80, 95% CI [.722, .879]).
Conclusions: S100β levels in peripheral blood at 48 hours poststroke reflect acute stroke severity and predict functional outcome at 12 weeks with a cutoff value of 140.5 ng/dL. The value of S100β as predictor of functional recovery after stroke should be emphasized in further clinical research and clinical practice.
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http://dx.doi.org/10.1016/j.jstrokecerebrovasdis.2018.02.046 | DOI Listing |
IUBMB Life
January 2025
Precision Medicine Laboratory, School of Medical Technology and Engineering, Henan University of Science and Technology, Luoyang, China.
Triple-negative breast cancer (TNBC) remains a significant global health challenge, emphasizing the need for precise identification of patients with specific therapeutic targets and those at high risk of metastasis. This study aimed to identify novel therapeutic targets for personalized treatment of TNBC patients by elucidating their roles in cell cycle regulation. Using weighted gene co-expression network analysis (WGCNA), we identified 83 hub genes by integrating gene expression profiles with clinical pathological grades.
View Article and Find Full Text PDFClin Chem Lab Med
January 2025
Deparment of Laboratory Medicine, 16268 La Paz University Hospital, Madrid, Spain.
Objectives: Cardiac biomarkers are useful for the diagnostic and prognostic assessment of myocardial injury (MI) and heart failure. By measuring specific proteins released into the bloodstream during heart stress or damage, these biomarkers help clinicians detect the presence and extent of heart injury and tailor appropriate treatment plans. This study aims to provide robust biological variation (BV) data for cardiac biomarkers in athletes, specifically focusing on those applied to detect or exclude MI, such as myoglobin, creatine kinase-myocardial band (CK-MB) and cardiac troponins (cTn), and those related to heart failure and cardiac dysfunction, brain natriuretic peptide (BNP) and N-terminal brain natriuretic pro-peptide (NT-proBNP).
View Article and Find Full Text PDFHead Neck
January 2025
Departement de Pathologie, Centre Hospitalo-Universitaire Montpellier, Montpellier, France.
Background: The detection rate of oncogenic human papillomaviruses (HPVs) in sinonasal squamous cell carcinomas (SNSCCs) varies among studies. The mutational landscape of SNSCCs remains poorly investigated.
Methods: We investigated the prevalence and prognostic significance of HPV infections based on p16 protein expression, HPV-DNA detection, and E6/E7 mRNA expression using immunohistochemistry, polymerase chain reaction, and in situ hybridization, respectively.
Genome Biol Evol
January 2025
Department of Biological Sciences, University of Alberta, BS CW405 Edmonton, AB, T6G 2R3, Canada.
Fungi are well known for their ability to both produce and catabolize complex carbohydrates to acquire carbon, often in the most extreme of environments. Glucuronoxylomannan (GXM)-based gel matrices are widely produced by fungi in nature and though they are of key interest in medicine and pharmaceuticals, their biodegradation is poorly understood. Though some organisms, including other fungi, are adapted to life in and on GXM-like matrices in nature, they are almost entirely unstudied, and it is unknown if they are involved in matrix degradation.
View Article and Find Full Text PDFPest Manag Sci
January 2025
Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Synthetic Biology, Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Background: Exogenous double-stranded RNA (dsRNA) has the potential to serve as an effective alternative to conventional chemical pesticides for the control of insect pests, because it can specifically inhibit essential gene expression in these organisms. However, identifying suitable gene targets remains a crucial step in the development of RNA interference (RNAi)-based pest control strategies.
Results: In this study, three apoptosis-related genes were selected to evaluate their potential for RNAi-induced lethality in Henosepilachna vigintioctopunctata via foliar spray dsRNAs.
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