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

Phototherapy plays a significant role in vitiligo treatment.Narrow-band ultraviolet B(NB-UVB)remains the first-line phototherapy for non-segmental vitiligo in clinical practice.In recent years,visible light has emerged as a novel therapeutic approach for vitiligo.Studies indicate that helium-neon laser demonstrates superior efficacy in segmental vitiligo,blue light is more effective for localized vitiligo,and NB-UVB is better suited for generalized or extensive vitiligo.Different phototherapy modalities exhibit distinct mechanisms of action,involving multiple biological proteins and signaling pathways in melanocyte activation and repigmentation.This review sum-marizes recent advances in phototherapy for vitiligo treatment.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Microfluidic chips have revolutionized analytical sciences through miniaturization and high-throughput capabilities.However,conventional static devices are constrained by fixed architectures,functional rigidity,and high customization costs.In recent years,,the emerging configurable and reconfigurable microfluidic technologies have provided solutions for these limitations through dynamic adaptability.Configurable systems enable post-fabrication customization via modular assembly or boundary modification,offering cost-effective functional versatility.Reconfigurable microfluidics represents a more advanced paradigm,incorporating real-time decision-making and dynamic control through physical/virtual boundary adjustments during operation.These adaptive systems enable precise manipulation of microenvironments for applications ranging from single-cell manipulation to dynamic biochemical synthesis.In this review,a ″static-dynamic boundary″ framework to systematically analyze both technologies was proposed,and the design rationales,operational mechanisms,and implementation strategies were compared.The development history of these two techniques was introduced,and the applications demonstrated their transformative potential in developing intelligent lab-on-chip systems,while technical challenges in standardization and control interfaces were critically assessed.The development trend on integrating smart materials and AI-driven automation to advance next-generation adaptive microfluidic platforms was prospected.

Objective:To explore the association between cumulative blood pressure (BP) and the risk of cerebrovascular disease (CVD) in older adults.Methods:This retrospective cohort study consecutively selected 4 480 older adults who participated in the Chinese Longitudinal Healthy Longevity Survey from 2008 to 2009 as the study subjects. The cumulative BP was calculated using the area under the curve from measurements taken at baseline (2008-2009), the first follow-up (2011), and the second follow-up (2014). The subjects were grouped with the quartiles (Q1-Q4) of cumulative systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP). The Cox proportional hazards regression models were used to analyze the hazard ratios (HR) and 95% CI for the association between cumulative BP and the risk of CVD among older adults. The restricted cubic spline function was employed to examine the potential dose-response pattern between cumulative BP and the risk of CVD. Results:During a total of 40 230 person-years of follow-up, with a mean follow-up duration of (8.98±2.16) years, 768 new cases of CVD were identified. The older adults in the highest quartile (Q4) of cumulative SBP, DBP, and PP had a significantly higher risk of CVD compared to those in the lowest quartile (Q1), with a HR of 1.68 (95% CI: 1.36-2.06), 1.67 (95% CI: 1.36-2.06), and 1.52 (95% CI: 1.24-1.84), respectively (all P<0.001). For every 10 mmHg (1 mmHg=0.133 kPa)×year increase in cumulative SBP, DBP, and PP, the risk of CVD increased by 2% ( HR=1.02, 95% CI: 1.01-1.03), 3% ( HR=1.03, 95% CI: 1.01-1.05), and 2% ( HR=1.02, 95% CI: 1.01-1.03), respectively (all P<0.05). The restricted cubic spline model revealed a linear positive correlation between cumulative SBP, DBP, and PP with the risk of CVD among older adults (all P for nonlinearity>0.05). When cumulative SBP, DBP, and PP exceeded 791.9 mmHg×years, 462.9 mmHg×years, and 323.6 mmHg×years, corresponding to an average BP level of 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively, the risk of CVD began to increase. Conclusions:Elevated long-term cumulative BP may increase the risk of CVD in older adults. Caution is warranted when SBP, DBP, and PP exceed 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Phototherapy plays a significant role in vitiligo treatment.Narrow-band ultraviolet B(NB-UVB)remains the first-line phototherapy for non-segmental vitiligo in clinical practice.In recent years,visible light has emerged as a novel therapeutic approach for vitiligo.Studies indicate that helium-neon laser demonstrates superior efficacy in segmental vitiligo,blue light is more effective for localized vitiligo,and NB-UVB is better suited for generalized or extensive vitiligo.Different phototherapy modalities exhibit distinct mechanisms of action,involving multiple biological proteins and signaling pathways in melanocyte activation and repigmentation.This review sum-marizes recent advances in phototherapy for vitiligo treatment.

Objective:To explore the association between cumulative blood pressure (BP) and the risk of cerebrovascular disease (CVD) in older adults.Methods:This retrospective cohort study consecutively selected 4 480 older adults who participated in the Chinese Longitudinal Healthy Longevity Survey from 2008 to 2009 as the study subjects. The cumulative BP was calculated using the area under the curve from measurements taken at baseline (2008-2009), the first follow-up (2011), and the second follow-up (2014). The subjects were grouped with the quartiles (Q1-Q4) of cumulative systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP). The Cox proportional hazards regression models were used to analyze the hazard ratios (HR) and 95% CI for the association between cumulative BP and the risk of CVD among older adults. The restricted cubic spline function was employed to examine the potential dose-response pattern between cumulative BP and the risk of CVD. Results:During a total of 40 230 person-years of follow-up, with a mean follow-up duration of (8.98±2.16) years, 768 new cases of CVD were identified. The older adults in the highest quartile (Q4) of cumulative SBP, DBP, and PP had a significantly higher risk of CVD compared to those in the lowest quartile (Q1), with a HR of 1.68 (95% CI: 1.36-2.06), 1.67 (95% CI: 1.36-2.06), and 1.52 (95% CI: 1.24-1.84), respectively (all P<0.001). For every 10 mmHg (1 mmHg=0.133 kPa)×year increase in cumulative SBP, DBP, and PP, the risk of CVD increased by 2% ( HR=1.02, 95% CI: 1.01-1.03), 3% ( HR=1.03, 95% CI: 1.01-1.05), and 2% ( HR=1.02, 95% CI: 1.01-1.03), respectively (all P<0.05). The restricted cubic spline model revealed a linear positive correlation between cumulative SBP, DBP, and PP with the risk of CVD among older adults (all P for nonlinearity>0.05). When cumulative SBP, DBP, and PP exceeded 791.9 mmHg×years, 462.9 mmHg×years, and 323.6 mmHg×years, corresponding to an average BP level of 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively, the risk of CVD began to increase. Conclusions:Elevated long-term cumulative BP may increase the risk of CVD in older adults. Caution is warranted when SBP, DBP, and PP exceed 132.0 mmHg, 77.2 mmHg, and 53.9 mmHg, respectively.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.