Objective: To investigate possible differences in peripheral levels of chemokines, BDNF and oxidative markers between patients with Schizophrenia (SZ) and matched healthy controls, and investigate the correlation of these biomarkers with cognitive performance.
Methods: Thirty individuals with SZ and 27 healthy controls were included and the following plasmatic biomarkers' levels were determined according to manufacturers' instructions: BDNF, TBARS, protein carbonyl content (PCC) and the chemokines CXCL-10/IP-10, CXCL-8/IL-8, CCL-11, CCL-24/Eotaxin-2, CCL-2/MCP-1, CCL-3/MIP-1. Selected neuropsychological tasks were administered to assess verbal learning (Hopkins Verbal Learning Test), verbal fluency (FAS test), working memory (Visual Working Memory Task, Keep Track Task, Letter Memory Task), set shifting (Plus-minus task, Number-letter task), inhibition (Computerized Stroop Task, Semantic Generation Task) and complex executive function tasks (Tower of London and the shortened version of the WCST-64).
Results: Compared with the healthy control group, individuals with SZ presented significantly higher levels of BDNF and the chemokine CCL-11, and lower levels of TBARS and the chemokine CXCL-10/IP-10. When we examined only the SZ group, BDNF levels were positively correlated with semantic generation tasks. Working memory ability was negatively correlated with PCC. Regarding chemokines, CCL-11 was negatively correlated to performance in working memory test, and positively correlated with cognitive flexibility task. CXCL-8/IL-8 was positively correlated with verbal fluency. CCL-24/Eotaxin-2 was positively correlated with semantic generation ability and letter memory task.
Conclusions: Our results indicate that cognitive performance in SZ is associated with mediators of neuroplasticity that can be measured peripherally.
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http://dx.doi.org/10.1016/j.jpsychires.2013.05.032 | DOI Listing |
Geroscience
December 2024
Laboratory of Neurodegenerative Diseases, Center for Interdisciplinary Research and Innovation, Aristotle University of Thessaloniki (CIRI-AUTh), 54124, Thessaloniki, Greece.
The accurate diagnosis of aging-related neurocognitive disorders as early as possible, even in a phase that is characterized by the absence of clinical symptoms, is nowadays the holy grail of the neurosciences. R4Alz-R is a novel cognitive tool designed to objectively detect the subtle cognitive changes that emerge as the very first result of the aging processes and could be developed and broadened in a continuum from healthy aging to subjective cognitive impairment (SCI) and mild cognitive impairment (MCI), before reaching some type of dementia. The goal of the present study was to examine whether the R4Alz-R battery has the potential to detect these subtle changes.
View Article and Find Full Text PDFJ Pers Med
December 2024
Department of Neurology, Faculty of Medicine, University of Debrecen, 4032 Debrecen, Hungary.
: Controlling hypertension may reduce the risk of cognitive impairment. A marker for the identification of hypertensive patients who are more likely to suffer cognitive impairment would be of clinical benefit. In our research, 105 patients with newly diagnosed primary hypertension were assessed at the Department of Neurology, the University of Debrecen.
View Article and Find Full Text PDFGeriatrics (Basel)
December 2024
Department of Occupational Therapy, School of Health Sciences, Fukushima Medical University, Fukushima 960-8516, Japan.
Maintaining functional independence and minimizing disability among older adults living in the community is paramount for mitigating rising care demands. Our study focused on shopping as a critical instrumental activity of daily living (ADL) to explore the association between shopping assistance and functional decline among older individuals receiving support through long-term care insurance (LTCI). This retrospective, cross-sectional study included 6202 participants aged >65 years living in a Japanese regional town receiving LTCI support, suggesting that they required assistance with local community life.
View Article and Find Full Text PDFBiomimetics (Basel)
December 2024
School of Computer Science and Technology, Dongguan University of Technology, Dongguan 523808, China.
In this paper, a deep reinforcement learning (DRL) approach based on generative adversarial imitation learning (GAIL) and long short-term memory (LSTM) is proposed to resolve tracking control problems for robotic manipulators with saturation constraints and random disturbances, without learning the dynamic and kinematic model of the manipulator. Specifically, it limits the torque and joint angle to a certain range. Firstly, in order to cope with the instability problem during training and obtain a stability policy, soft actor-critic (SAC) and LSTM are combined.
View Article and Find Full Text PDFClocks Sleep
December 2024
UR2NF-Neuropsychology and Functional Neuroimaging Research Unit, at CRCN-Centre for Research in Cognition and Neurosciences and UNI-ULB Neuroscience Institute, Université Libre de Bruxelles (ULB), 1050 Brussels, Belgium.
Continued solicitation of cognitive resources eventually leads to cognitive fatigue (CF), i.e., a decrease in cognitive efficiency that develops during sustained cognitive demands in conditions of constrained processing time, independently of sleepiness.
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