Comparative epidemiological study in population of patients with schizophrenia in one of the Moscow regions revealed differential morbidity risk in posterity. Convincing proofs obtained showed sick children with schizophrenia prevalence in sick mothers, but not fathers' posterity. Such a conclusion on the representative populational material was made for the first time. The study showed the specificity of differential morbidity risk in control groups of patients with other disease entities analyzed. Different factors significance in so-called "maternal effect" manifestation are discussed.
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Biol Psychiatry Glob Open Sci
March 2025
Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
Background: Irritability affects up to 20% of youth and is a primary reason for referral to pediatric mental health clinics. Irritability is thought to be associated with disruptions in processing of reward, threat, and cognitive control; however, empirical study of these associations at both the behavioral and neural level have yielded equivocal findings that may be driven by small sample sizes and differences in study design. Associations between irritability and brain connectivity between cognitive control and reward- or threat-processing circuits remain understudied.
View Article and Find Full Text PDFWorld J Cardiol
January 2025
Cardiac Care Unit, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China.
Background: Myocardial ischemia/reperfusion (I/R) injury, which is associated with high morbidity and mortality, is a main cause of unexpected myocardial injury after acute myocardial infarction. However, the underlying mechanism remains unclear. Circular RNAs (circRNAs), which are formed from protein-coding genes, can sequester microRNAs or proteins, modulate transcription and interfere with splicing.
View Article and Find Full Text PDFCirculation
January 2025
Johns Hopkins Ciccarone Center for Prevention of Cardiovascular Disease, Baltimore, MD (Z.Y., E.T., Z.A.D., K.K.J., N.O., T.R., E.B., M.J.B.).
Background: Understanding the association of tobacco product use with subclinical markers is essential in evaluating health effects to inform regulatory policy. This is particularly relevant for noncigarette products (eg, cigars, pipes, and smokeless tobacco), which have been understudied because of their low prevalence in individual cohort studies.
Methods: This cross-sectional study included 98 450 participants from the Cross-Cohort Collaboration-Tobacco data set.
Sci Rep
January 2025
State Key Laboratory of Holistic Integrative Management of Gastrointestinal Cancers, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Pathology, Peking University Cancer Hospital and Institute, 52 Fucheng Road, Haidian District, Beijing, 100142, China.
Delta-like protein (DLL3) is a novel therapeutic target. DLL3 expression in gastroenteropancreatic neuroendocrine tumors (GEP-NECs) is poorly understood, complicating the distinction between well-differentiated neuroendocrine tumors G3 (NET G3) and poorly differentiated NEC. DLL3 immunohistochemistry (IHC) was performed on 248 primary GEP-NECs, correlating with clinicopathological parameters, NE markers, PD-L1, Ki67 index, and prognosis.
View Article and Find Full Text PDFSci Rep
January 2025
Departments of Breast Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, 210029, Jiangsu, People's Republic of China.
The impact of mitochondrial and lysosomal co-dysfunction on breast cancer patient outcomes is unclear. The objective of this study is to develop a predictive machine learning (ML) model utilizing mitochondrial and lysosomal co-regulators in order to provide a foundation for future studies focused on breast cancer (BC) patients' stratification and personalized interventions. Firstly, Differences and correlations of mitochondrial and lysosome related genes were screened and validated by differential analysis, copy number variation (CNV), single nucleotide polymorphism (SNPs) and correlation analysis.
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