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Linking epidemiology and genomics of maternal smoking during pregnancy in utero and in ageing: a population-based study using human foetuses and the UK Biobank cohort.
EBioMedicine
February 2025
Institute of Medical Sciences, School of Medicine, Medical Sciences & Nutrition, University of Aberdeen, Aberdeen, UK; Institute for Clinical Research and Systems Medicine, Health and Medical University, Potsdam, Germany.
Background: Maternal smoking and foetal exposure to nicotine and other harmful chemicals in utero remains a serious public health issue with little knowledge about the underlying genetics and consequences of maternal smoking in ageing individuals. Here, we investigated the epidemiology and genomic architecture of maternal smoking in a middle-aged population and compare the results to effects observed in the developing foetus.
Methods: In the current project, we included 351,562 participants from the UK Biobank (UKB) and estimated exposure to maternal smoking status during pregnancy through self-reporting from the UKB participants about the mother's smoking status around their birth.
Neurodevelopmental and psychiatric conditions in 600 Swedish children with the avoidant/restrictive food intake disorder phenotype.
J Child Psychol Psychiatry
March 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
Background: Avoidant restrictive food intake disorder (ARFID) is a feeding and eating disorder characterized by extremely restricted dietary variety and/or quantity resulting in serious consequences for physical health and psychosocial functioning. ARFID often co-occurs with neurodevelopmental conditions (NDCs) and psychiatric conditions, but previous data are mostly limited to small clinical samples examining a narrow range of conditions. Here, we examined NDCs and psychiatric conditions in a large, population-based group of children with ARFID.
View Article and Find Full Text PDFPeople are not becoming "AIholic": Questioning the "ChatGPT addiction" construct.
Addict Behav
March 2025
Institute of Psychology, University of Lausanne, Lausanne, Switzerland; Center for Excessive Gambling, Addiction Medicine, Lausanne University Hospital (CHUV), Lausanne, Switzerland. Electronic address:
Generative artificial intelligence (AI) chatbots such as ChatGPT have rapidly gained popularity in many daily life spheres, even sparking scholarly debate about a potential "ChatGPT addiction." Throughout history, new technologies have repeatedly been associated with widespread concerns and "moral panics," especially when their adoption is sudden and involves significant changes in daily functioning. It is thus no surprise that researchers have examined whether intensive use of ChatGPT can be considered an addictive behavior.
View Article and Find Full Text PDFGut IgA-antibody secreting cells segregate into four Blimp1+ subsets based on differential expression of IgA and Ki-67 and are retained following prolonged αCD20 B cell depletion in mice.
J Immunol
March 2025
Department of Microbiology and Immunology, Medical College of Wisconsin, Milwaukee, WI, United States.
B cell depletion is an efficacious therapy for multiple sclerosis, but its long-term safety profile in the gastrointestinal tract has not been specifically studied. This is of importance because the gut is the largest reservoir of IgA in the body, which maintains gut homeostasis in part by regulating the composition of the gut microbiota. This was addressed by development of a prolonged B cell depletion model using human CD20 transgenic mice and B cell depletion with the anti-human CD20 antibodies rituximab, a humanized mouse monoclonal, and 2H7, the mouse precursor to ocrelizumab.
View Article and Find Full Text PDFGranule Margin-Based Feature Selection in Weighted Neighborhood Systems.
IEEE Trans Cybern
March 2025
Neighborhood rough sets are an effective model for handling numerical and categorical data entangled with vagueness, imprecision, or uncertainty. However, existing neighborhood rough set models and their feature selection methods treat each sample equally, whereas different types of samples inherently play different roles in constructing neighborhood granules and evaluating the goodness of features. In this study, the sample weight information is first introduced into neighborhood rough sets, and a novel weighted neighborhood rough set model is consequently constructed.
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