Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

Objective:To investigate the adjunctive diagnostic value of retinal imaging structural parameters combined with apolipoprotein E (ApoE) gene polymorphisms for Alzheimer′s disease (AD).Methods:It was a case-control study, 71 confirmed AD patients who attended the Department of Neurology in Sichuan Provincial People′s Hospital from May 2023 to June 2024 and 156 healthy medical checkups who participated in medical checkups in the Health Management Center were continuously with convenience sampling method; the subjects were included as the AD case group and healthy control group, respectively. Optical coherence tomography (OCT) was used to measure the structural parameters of retinal imaging such as the thickness of the retinal nerve fiber layer (RNFL) and the retinal nerve fiber layer-inner plexiform layer (RNFL-IPL) in the study subjects. Information on demographic characteristics and disease history of the study participants were collected through a questionnaire, and venous blood was collected to test for ApoE gene polymorphisms. The retinal imaging structural parameters, ApoE gene polymorphisms and other related indicators were included in a multifactorial logistic regression model to analyze the main factors affecting the risk of AD. Based on the results of the multifactorial analysis, the receiver operating characteristic (ROC) curves were plotted and the areas under the curve (AUC) were calculated to evaluate the efficacy of different models in the adjunctive diagnosis of AD.Results:Of the 227 study subjects included in the analysis, 153 were females and 74 were males; there were 71 cases in the AD case group with a mean age of (66.73±8.83) years, and there were 156 subjects in the healthy control group with an average age of (61.95±8.21) years. Educational attainment of elementary school and below ( OR=4.683, 95% CI: 2.133-10.282), living visual acuity<0.5 ( OR=2.716, 95% CI: 1.12-6.583), and carrying ≥1 ApoE ε4 genes ( OR=5.331, 95% CI: 2.309-11.891) were positively correlated with the risk of AD. RNFL thickening ( OR=0.923, 95% CI: 0.854-0.998) was negatively associated with the risk of AD (all P<0.05). The AD risk assessment model (Model 4), which included fundus imaging features and ApoE gene polymorphisms, had the highest predictive efficacy (AUC=0.857, P<0.001). Conclusion:Retinal imaging structural parameters differ significantly between AD patients and healthy examinees, and a risk assessment model combining retinal imaging structural parameters and ApoE gene polymorphisms has high predictive value and is expected to serve as an auxiliary diagnostic tool for AD.

Objective:To assess the value of chromosomal microarray analysis (CMA) for the detection of low-level mosaicisms in amniotic fluid samples, and to retrospectively analyze the rare cases of mosaicisms.Methods:Chromosomal karyotype of the fetus was determined by G-banding analysis of cultured amniotic fluid cells. CMA was used to detect copy number variation of fetal chromosomes, and fluorescence in situ hybridization (FISH) was used to determine the proportion of fetal chromosomal mosaicisms in uncultured amniotic fluid cells. Results:Among 825 prenatal samples, 4 cases of true fetal mosaicisms were detected, which yielded an incidence of 0.48%. Two cases were sex chromosomal mosaicisms, and two were autosomal mosaicisms, which involved chromosomes 8 and 9, respectively. All cases were verified by G-banding analysis of cultured amniotic fluid cells, CMA, and/or FISH.Conclusion:CMA has a great value for detecting low-level mosaicisms in amniotic fluid samples, though the positive results need to be verified by other techniques and should be interpreted with caution. The review of rare cases can provide a basis for prenatal genetic counseling.

As a physical treatment technique, modified electro-convulsive therapy (MECT) is used to treat mental and certain neurological disorders by causing seizures with short, suitable electrical currents applied to the brain while the patient is under general anesthesia and muscle relaxants. MECT is recognized for its therapeutic efficacy and clinical safety, rendering it one of the most prevalent interventions in psychiatric care. To enhance clinical outcomes and minimize adverse effects, this consensus document delineates the indications, therapeutic parameters, therapeutic procedures, potential adverse effects, and associated management strategies for MECT. These guidelines are informed by the latest clinical research and expert consensus, integrating evidence-based medicine methodologies. The objective is to furnish clinicians with precise operational guidelines and to advance the standardization of MECT practices in clinical settings.

OBJECTIVE: To assess the value of chromosomal microarray analysis (CMA) for the detection of low-level mosaicisms in amniotic fluid samples, and to retrospectively analyze the rare cases of mosaicisms. METHODS: Chromosomal karyotype of the fetus was determined by G-banding analysis of cultured amniotic fluid cells. CMA was used to detect copy number variation of fetal chromosomes, and fluorescence in situ hybridization (FISH) was used to determine the proportion of fetal chromosomal mosaicisms in uncultured amniotic fluid cells. RESULTS: Among 825 prenatal samples, 4 cases of true fetal mosaicisms were detected, which yielded an incidence of 0.48%. Two cases were sex chromosomal mosaicisms, and two were autosomal mosaicisms, which involved chromosomes 8 and 9, respectively. All cases were verified by G-banding analysis of cultured amniotic fluid cells, CMA, and/or FISH. CONCLUSION CMA has a great value for detecting low-level mosaicisms in amniotic fluid samples, though the positive results need to be verified by other techniques and should be interpreted with caution. The review of rare cases can provide a basis for prenatal genetic counseling.
Humans ; Female ; Amniotic Fluid/metabolism* ; Pregnancy ; Mosaicism/embryology* ; Prenatal Diagnosis/methods* ; Adult ; In Situ Hybridization, Fluorescence ; Microarray Analysis/methods* ; Karyotyping ; Retrospective Studies ; Male

Objective To delineate the current research landscape,emerging hotspots,and frontiers re-garding the relationship between the oral microbiome and digestive system diseases.Methods We retrieved publications from the Web of Science Core Collection database using topic-specific queries on"oral microbi-ome"and"digestive diseases."Bibliometric analysis was performed using VOSviewer,CiteSpace,and the"bibliometrix"package in R for data mining and visualization.Results A total of 1228 eligible articles were included.Analysis revealed that research on the correlation between oral microbiota and digestive system diseases will remain a global hotspot.Academic institutions dominated the publications,with centralized institutional distribution and team-based collaboration,though overall collaboration networks remained fragmented.Geo-graphically,the United States emerged as the leading contributor,followed by China and the United Kingdom.While China-U.S.collaborations were prominent,China's engagement with other regions remained limited.Current research hotspots focus on the interplay between oral microbiota and gut microbiota,inflam-matory bowel disease(IBD),and digestive system tumors.Conclusions Research in this field demonstrates high activity and diversity.Studies on the associations of oral microbiota with gut microbiota,IBD,and diges-tive system tumors(particularly esophageal,gastric,pancreatic,and colorectal cancers)remain prominent.Future studies should prioritize elucidating underlying mechanisms and innovating in biomarker discovery and application.However,insufficient collaboration and resource-sharing among institutions currently hinder pro-gress in this field.

Objective:To evaluate left ventricular systolic function in patients with systemic scleroderma (SSc) with normal left ventricular ejection fraction using pressure-strain loop (PSL) .Methods:To collect 30 patients with SSc who were treated in the Rheumatology and Immunology Department of Jining Medical University from January 2022 to March 2024 as the observation group, 30 healthy volunteers were selected as the control group after 1:1 matching with the observation group according to the age ±3 years old and the same gender. Clinical and ultrasound data were collected, PSL was used to evaluate and compare the differences between the two groups in left ventricular longitudinal strain (GLS), global work index (GWI), global useful work (GCW), global useless work (GWW) and global work efficiency (GWE), and the statistically significant variables were analyzed by multivariate logistic regression to analyze the independent predictors of early left ventricular function impairment in patients with SSc,and constructed receiver operating characteristic (ROC) curve to analyze the predictive value of GLS, GWI, GCW, GWW and GWE in early left ventricular function impairment in SSc patients.Results:Compared with the control group, the observation group GLS,GWI, GCW and GWE decreased( P<0.05), while the GWW increased( P<0.05). Multivariate logistic regression analysis showed that GLS[ OR(95% CI)=0.51(0.26, 1.02), P=0.055]、GWI[ OR(95% CI)=1.00(0.99, 1.01), P=0.969)、GCW[ OR(95% CI)=1.00(0.99, 1.02), P=0.771]、GWW[ OR(95% CI)=0.90(0.81, 1.01), P=0.075]and GWE[ OR(95% CI)=0.02(0.00, 0.55), P=0.022], in which GWE had the highest significance in predicting left ventricular myocardial work in SSc patients. ROC curve showed that compared with GLS, GWI, GCW and GWW, the area under GWE curve (0.953) was the largest, and the sensitivity of GWE≤94% to predict myocardial damage in SSc patients was 80.0%, and the specificity was 93.3%. The results of the repeatability test showed that the reproducibility of the intra-observer and inter-observer measurements was good. Conclusion:The PSL provides a new method for the quantitative assessment of early left ventricular systolic function impairment in patients with SSc, and GWE can be used as a sensitive index to predict early left ventricular systolic function impairment in patients with SSc.

Objective:To explore the lived experiences of family members of terminal ICU patients regarding their humanistic care needs and provide theoretical foundations for developing nursing care plans tailored to their needs.Methods:This study was a descriptive qualitative study. From April to December 2023, 16 family members of terminally ill ICU patients in Shanghai East Hospital, Tongji University were selected for semi-structured interviews using purposive sampling method, and the interview data were qualitatively analyzed using Colaizzi 7-step analysis.Results:The humanistic care needs of family members of terminally ill ICU patients can be categorized into five themes, namely, the need to know the condition at the first time; the need to participate in treatment and decision-making; the need to respect the wishes of terminally ill patients; the need for psychological care; and the need for social support.Conclusions:The humanistic care needs of family members of terminal ICU patients remain largely unmet. Nursing professionals should consider these needs and preferences and provide family members with professional guidance to help them establish positive coping mechanisms.

Objective To delineate the current research landscape,emerging hotspots,and frontiers re-garding the relationship between the oral microbiome and digestive system diseases.Methods We retrieved publications from the Web of Science Core Collection database using topic-specific queries on"oral microbi-ome"and"digestive diseases."Bibliometric analysis was performed using VOSviewer,CiteSpace,and the"bibliometrix"package in R for data mining and visualization.Results A total of 1228 eligible articles were included.Analysis revealed that research on the correlation between oral microbiota and digestive system diseases will remain a global hotspot.Academic institutions dominated the publications,with centralized institutional distribution and team-based collaboration,though overall collaboration networks remained fragmented.Geo-graphically,the United States emerged as the leading contributor,followed by China and the United Kingdom.While China-U.S.collaborations were prominent,China's engagement with other regions remained limited.Current research hotspots focus on the interplay between oral microbiota and gut microbiota,inflam-matory bowel disease(IBD),and digestive system tumors.Conclusions Research in this field demonstrates high activity and diversity.Studies on the associations of oral microbiota with gut microbiota,IBD,and diges-tive system tumors(particularly esophageal,gastric,pancreatic,and colorectal cancers)remain prominent.Future studies should prioritize elucidating underlying mechanisms and innovating in biomarker discovery and application.However,insufficient collaboration and resource-sharing among institutions currently hinder pro-gress in this field.