With the drastic expansion of the games industry, psychological research is concerned with the question as to why certain genres might be more addictive than others. Besides specific games characteristics and motivational profiles of gamers, skills that are relevant to play certain games and genres might provide more insights for answering this question. An exploratory online survey was designed, asking for played genres, subjective relevance of required skills to play the game, gaming motives, and symptom severity. The analyses aimed at investigating which genres are associated with higher and lower symptoms of their players and the relationship between the relevance of skills required for certain genres and the symptom severity of players. In total, 727 data sets were collected. Descriptive results indicated that the most pronounced difference between genres associated with low and high symptom severity appeared among the indicated relevance of communicating with others, the social motive for gaming, and among the relevance of required executive function skills such as attentional vigilance. The communication skill is discussed as a vulnerability factor for maintaining problematic gaming behaviors despite the occurrence of negative consequences, whereas certain executive functions could be constitutional factors of the experience of a flow state. The association between flow and addictive gaming tendencies is a topic yet to be investigated in future research.
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http://dx.doi.org/10.1089/cyber.2022.0019 | DOI Listing |
Adv Clin Chem
January 2025
Department of Obstetrics and Gynecology, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil. Electronic address:
Preeclampsia (PE), a pregnancy-related syndrome, has motivated extensive research to understand its pathophysiology and develop early diagnostic methods. 'Omic' technologies, focusing on genes, mRNA, proteins, and metabolites, have revolutionized biological system studies. Urine emerges as an ideal non-invasive specimen for omics analysis, offering accessibility, easy collection, and stability, making it valuable for identifying biomarkers.
View Article and Find Full Text PDFAdv Clin Chem
January 2025
Center for Orphan Drug Research, Department of Experimental and Clinical Pharmacology, College of Pharmacy, University of Minnesota, Minneapolis, MN, United States. Electronic address:
Gaucher disease (GD) is a rare lysosomal disorder characterized by the accumulation of glycosphingolipids in macrophages resulting from glucocerebrosidase (GCase) deficiency. The accumulation of toxic substrates, which causes the hallmark symptoms of GD, is dependent on the extent of enzyme dysfunction. Accordingly, three distinct subtypes have been recognized, with type 1 GD (GD1) as the common and milder form, while types 2 (GD2) and 3 (GD3) are categorized as neuronopathic and severe.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
Wuhan Third hospital, Tongren Hospital of Wuhan University, 241 Pengliuyang Road, Wuhan 430060, China. Electronic address:
Parkinson's disease (PD), a neurodegenerative disorder without cure, is characterized by the pathological aggregation of α-synuclein (α-Syn) in Lewy bodies. Classic deposition pathway and condensation pathway contribute to α-Syn aggregation, and liquid-liquid phase separation is the driving force for condensate formation, which subsequently undergo liquid-solid phase separation to form toxic fibrils. Traditional Chinese Medicine (TCM) has a long history in treating neurodegenerative disease, herein; we identified chemicals from herbs that inhibit α-Syn aggregation.
View Article and Find Full Text PDFJ Affect Disord
January 2025
Department of Psychiatry and Psychotherapy, University of Marburg, Germany; Center for Mind, Brain and Behavior (CMBB), University of Marburg, Germany.
Background: Major depressive disorder (MDD) comes along with an increased risk of recurrence and poor course of illness. Machine learning has recently shown promise in the prediction of mental illness, yet models aiming to predict MDD course are still rare and do not quantify the predictive value of established MDD recurrence risk factors.
Methods: We analyzed N = 571 MDD patients from the Marburg-Münster Affective Disorder Cohort Study (MACS).
J Affect Disord
January 2025
Department of Psychiatry and Behavioral Sciences, Duke University, Durham, NC, USA; Department of Medicine, Duke University, Durham, NC, USA; Duke Institute of Brain Sciences, Duke University, Durham, NC, USA. Electronic address:
Metabolomics provides powerful tools that can inform about heterogeneity in disease and response to treatments. In this exploratory study, we employed an electrochemistry-based targeted metabolomics platform to assess the metabolic effects of three randomly-assigned treatments: escitalopram, duloxetine, and Cognitive-Behavioral Therapy (CBT) in 163 treatment-naïve outpatients with major depressive disorder. Serum samples from baseline and 12 weeks post-treatment were analyzed using targeted liquid chromatography-electrochemistry for metabolites related to tryptophan, tyrosine metabolism and related pathways.
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