Objective: To analyze the correlation between serum homocysteine (Hcy) and both folic acid (FA) and sperm DNA fragmentation index (DFI), so as to provide the evidence for male fertility assessment. Methods: Males who visited and measured the serum Hcy in the Reproductive Medicine Center of Huzhou Maternal and Child Health Care Hospital from September 2022 to September 2023 were selected as the study subjects. Sperm quality parameters and sperm DFI were analyzed by collecting sperm. Hcy and FA were measured by collecting venous blood. Participants were stratified into a high Hcy group (Hcy≥15.0 μmol/L) and a normal group (Hcy<15.0 μmol/L). The correlations between serum Hcy and FA and sperm DFI were evaluated using linear regression models. Results: A total of 173 participants were enrolled, including 39 in the high Hcy group and 134 in the normal group. The sperm concentration in the high Hcy group was significantly lower than that in the normal group [(91.77±61.11)×106/mL vs. (144.21±106.82)×106/mL, P<0.05]. No statistically significant differences were observed in semen volume, sperm motility, curvilinear velocity, straight-line velocity, average path velocity, or sperm morphology normal rate (all P>0.05). The FA level in the high Hcy group was lower than that in the normal group [(4.44±1.79) nmol/L vs. (7.64±3.68) nmol/L, P<0.05]. The sperm DFI in the high Hcy group was higher than that in the normal group [(19.21±8.85)% vs. (13.07±6.43)%, P<0.05]. Serum Hcy level showed a negative correlation with FA level (r=-0.369, P<0.05) and a positive correlation with sperm DFI (r=0.351, P<0.05). Conclusion Serum Hcy level is associated with sperm concentration, FA and sperm DFI, suggesting that serum Hcy may affect sperm quality.

Objective: To explore the influencing factors for implementation of weight management services in primary medical and healthcare institutions, so as to provide references for implementing sustainable services of weight management. Methods: From May to June 2025, Pinghu City, Zhejiang Province was selected as the survey site. Personnel responsible for weight management in primary medical and healthcare institutions were selected as the survey subjects using a combined method of purposive sampling and snowball sampling. Based on the five core domains of the consolidated framework for implementation research (CFIR), a semi-structured interview outline for weight management services in primary medical and healthcare institutions was designed. Original data was collected through face-to-face semi-structured interviews. Interview data was organized and analyzed using framework analysis. Factors affecting weight management services were quantitatively analyzed by referencing CFIR's structural rating criteria. Results: A total of 21 participants completed interviews, covering positions in nutrition, endocrinology, traditional Chinese medicine, general practice, maternal health, and public health. There were 9 males and 12 females. Fifteen participants (71.43%) were aged 35 years and above, 18 (85.71%) held a bachelor's degree or higher, and 15 (71.43%) were frontline medical staff. Fifteen factors affecting weight management services were identified across five domains: innovation, outer setting, inner setting, individuals, and implementation process. Six barrier factors were identified: difficulties in policy implementation, time-consuming interventions, limited incentive measures, lack of professional skills, unclear weight-loss plans and goal setting, and imperfect follow-up and evaluation mechanisms. Three neutral factors were identified: the development and refinement of policies and regulations, the implementation of weight management training, and the optimization of the referral process within integrated healthcare systems (medical alliances / communities). Six facilitating factors were identified: the relatively significant advantages of lifestyle interventions, collaboration and coordination across multiple departments, cooperative communication among different units within the institution, the inherent convenience of primary care settings, a strong sense of professional responsibility, and the establishment of multidisciplinary teams. Conclusions The delivery of weight management services in primary medical and healthcare institutions is influenced by a wide array of factors across multiple domains. It requires policy support, multi-department coordination, a practice-oriented training system, optimized team resource allocation, incentives, and improved professional skills of medical staff to jointly promote long-term implementation.

Histological staining is the basis of pathological analysis,but the traditional staining method relies on chemical reagents,which not only consumes a lot of resources,but also causes harm to the environment and human health.In recent years,with the rapid development of deep learning technology,virtual staining technology,as a new method,is expected to effectively replace and supplement the traditional histological staining methods.It uses neural networks to analyze unstained tissue images,generate digital images that are highly similar to chemical staining effects,and even realize the mutual conversion between different staining modes,reducing the laboratory's dependence on chemical reagents and providing sustainable research programs.In this paper,the basic principles of virtual staining and its potential applications in histopathology are introduced in detail,and the current challenges and future research directions are discussed.

Anxiety disorders are psychiatric conditions characterized by high prevalence,chronicity,and comorbidity.The World Health Organization has listed anxiety disorders as a cause of health-related disabilities.Metabolomics can be used to qualitatively and quantita-tively analyze metabolites in organisms using modern analytical techniques,comprehensively revealing the overall characteristics of meta-bolic changes in the body and providing novel insights into diseases.It is important to identify potential biomarkers associated with anxiety disorders by investigating perturbations in metabolites and metabolic pathways in patients with anxiety disorders.This review addresses the application of metabolomics in anxiety disorders to provide a basis for revealing their pathogenesis,early diagnosis,and efficacy evalu-ation.

Anxiety disorders are psychiatric conditions characterized by high prevalence,chronicity,and comorbidity.The World Health Organization has listed anxiety disorders as a cause of health-related disabilities.Metabolomics can be used to qualitatively and quantita-tively analyze metabolites in organisms using modern analytical techniques,comprehensively revealing the overall characteristics of meta-bolic changes in the body and providing novel insights into diseases.It is important to identify potential biomarkers associated with anxiety disorders by investigating perturbations in metabolites and metabolic pathways in patients with anxiety disorders.This review addresses the application of metabolomics in anxiety disorders to provide a basis for revealing their pathogenesis,early diagnosis,and efficacy evalu-ation.

Histological staining is the basis of pathological analysis,but the traditional staining method relies on chemical reagents,which not only consumes a lot of resources,but also causes harm to the environment and human health.In recent years,with the rapid development of deep learning technology,virtual staining technology,as a new method,is expected to effectively replace and supplement the traditional histological staining methods.It uses neural networks to analyze unstained tissue images,generate digital images that are highly similar to chemical staining effects,and even realize the mutual conversion between different staining modes,reducing the laboratory's dependence on chemical reagents and providing sustainable research programs.In this paper,the basic principles of virtual staining and its potential applications in histopathology are introduced in detail,and the current challenges and future research directions are discussed.

Children and adults differ significantly in physiology,biochemistry and immune function,which leads to sig-nificant differences in blood transfusion strategies between children and adults.To guide the clinical transfusion practice of pediatric patients and improve the prognosis of children,the National Health Commission organized the formulation and re-lease of the health industry standard Guideline for Pediatric Transfusion(WS/T 795-2022).This paper will briefly introduce some concepts that help understand of the Standard and the preparation process of the Standard,and explain and interpret the preparation of the"scope","general provisions"and"factors to consider"of the Standard,hoping to contribute to the understanding and implementation of the Standard.

Obsessive-compulsive disorder (OCD) is a disabling mental disorder with unclear etiology. The association between OCD occurrence and development and gut microbiota has not been fully elucidated. Although the exact pathogenic mechanism of OCD remains obscure, existing evidence indicates that the brain-gut axis is involved in OCD via multiple pathways, including immune inflammation, neurotransmitters, and endocrinology. This article reviews new evidence on the role of microbiota in OCD pathophysiology and their potential as a novel treatment. It summarizes current research methods and limitations regarding the brain-gut axis. We discuss the potential and challenges of microbial reconditioning strategies such as probiotics and fecal microbiota transplantation for OCD treatment and envision future research directions. The perspective in-depth study of the brain-gut axis may provide new therapeutic targets and perspectives for OCD.

Obsessive-compulsive disorder (OCD) is a disabling mental disorder with unclear etiology. The association between OCD occurrence and development and gut microbiota has not been fully elucidated. Although the exact pathogenic mechanism of OCD remains obscure, existing evidence indicates that the brain-gut axis is involved in OCD via multiple pathways, including immune inflammation, neurotransmitters, and endocrinology. This article reviews new evidence on the role of microbiota in OCD pathophysiology and their potential as a novel treatment. It summarizes current research methods and limitations regarding the brain-gut axis. We discuss the potential and challenges of microbial reconditioning strategies such as probiotics and fecal microbiota transplantation for OCD treatment and envision future research directions. The perspective in-depth study of the brain-gut axis may provide new therapeutic targets and perspectives for OCD.