ObjectiveTo explore the efficacy and mechanisms of Sini San in the treatment of depression and liver injury based on gut microbiota. MethodsThirty-two male Sprague-Dawley （SD） rats were randomly divided into a normal group， model group （M）， Sini San group （MS， 2.5 g·kg^-1）， and fluoxetine group （MF， 2 mg·kg^-1）. Except for the normal group， rats in the other three groups were subjected to chronic unpredictable mild stress （CUMS）. After 8 weeks， the open-field test and sucrose preference test were conducted. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum corticosterone （CORT）， adrenocorticotropic hormone （ACTH）， corticotropin-releasing factor （CRF）， lipopolysaccharide （LPS）， Zonulin， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， γ-aminobutyric acid （GABA） levels in the hippocampus and prefrontal cortex， and brain-derived neurotrophic factor （BDNF） levels in the hippocampus. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect hippocampal BDNF mRNA expression. Serum alanine aminotransferase （ALT） and aspartate aminotransferase （AST） levels were measured using the ultraviolet lactate dehydrogenase method. The ultrastructure of the intestinal epithelium was observed by electron microscopy， and gut microbiota in rat feces were analyzed using 16S rDNA high-throughput sequencing. ResultsCompared with the normal group， the sucrose preference of rats in the model group was significantly reduced （P0.01）， whereas it was significantly increased in the Sini San group compared with the model group （P0.05）. Compared with the normal group， hippocampal GABA protein levels and BDNF mRNA expression in the model group were significantly decreased （P0.05）， and compared with the model group， both were significantly increased in the Sini San group （P0.05， P0.01）. Compared with the normal group， serum LPS and Zonulin levels in the model group were significantly increased （P0.05， P0.01）， and compared with the model group， Zonulin levels in the Sini San group were significantly decreased （P0.05）. No obvious changes were observed in the ultrastructure of the jejunal mucosa among groups. Compared with the normal group， widened and blurred tight junctions， sparse and shortened microvilli， and mitochondrial swelling with cristae disruption in epithelial cells were observed in the ileal and colonic mucosa of the model group， which were markedly improved in the Sini San and fluoxetine groups. The results of 16S rDNA high-throughput sequencing showed that Sini San improved CUMS-induced dysbiosis of Bacteroidetes and Proteobacteria. Correlation analysis indicated that Bacteroidetes and Proteobacteria were significantly correlated with depression-related indicators， liver function， and intestinal mucosal permeability. ConclusionSini San exerts antidepressant and hepatoprotective effects by improving Bacteroidetes and Proteobacteria and inhibiting the increase in intestinal mucosal permeability in CUMS rats.

ObjectiveTo explore the efficacy and mechanisms of Sini San in the treatment of depression and liver injury based on gut microbiota. MethodsThirty-two male Sprague-Dawley （SD） rats were randomly divided into a normal group， model group （M）， Sini San group （MS， 2.5 g·kg^-1）， and fluoxetine group （MF， 2 mg·kg^-1）. Except for the normal group， rats in the other three groups were subjected to chronic unpredictable mild stress （CUMS）. After 8 weeks， the open-field test and sucrose preference test were conducted. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum corticosterone （CORT）， adrenocorticotropic hormone （ACTH）， corticotropin-releasing factor （CRF）， lipopolysaccharide （LPS）， Zonulin， interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， γ-aminobutyric acid （GABA） levels in the hippocampus and prefrontal cortex， and brain-derived neurotrophic factor （BDNF） levels in the hippocampus. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to detect hippocampal BDNF mRNA expression. Serum alanine aminotransferase （ALT） and aspartate aminotransferase （AST） levels were measured using the ultraviolet lactate dehydrogenase method. The ultrastructure of the intestinal epithelium was observed by electron microscopy， and gut microbiota in rat feces were analyzed using 16S rDNA high-throughput sequencing. ResultsCompared with the normal group， the sucrose preference of rats in the model group was significantly reduced （P<0.01）， whereas it was significantly increased in the Sini San group compared with the model group （P<0.05）. Compared with the normal group， hippocampal GABA protein levels and BDNF mRNA expression in the model group were significantly decreased （P<0.05）， and compared with the model group， both were significantly increased in the Sini San group （P<0.05， P<0.01）. Compared with the normal group， serum LPS and Zonulin levels in the model group were significantly increased （P<0.05， P<0.01）， and compared with the model group， Zonulin levels in the Sini San group were significantly decreased （P<0.05）. No obvious changes were observed in the ultrastructure of the jejunal mucosa among groups. Compared with the normal group， widened and blurred tight junctions， sparse and shortened microvilli， and mitochondrial swelling with cristae disruption in epithelial cells were observed in the ileal and colonic mucosa of the model group， which were markedly improved in the Sini San and fluoxetine groups. The results of 16S rDNA high-throughput sequencing showed that Sini San improved CUMS-induced dysbiosis of Bacteroidetes and Proteobacteria. Correlation analysis indicated that Bacteroidetes and Proteobacteria were significantly correlated with depression-related indicators， liver function， and intestinal mucosal permeability. ConclusionSini San exerts antidepressant and hepatoprotective effects by improving Bacteroidetes and Proteobacteria and inhibiting the increase in intestinal mucosal permeability in CUMS rats.

OBJECTIVE To upgrade the drug traceability code management system for a pediatric hospital under the “payment by code” background， aiming to comprehensively enhance traceability integrity， efficiency， and compliance. METHODS Taking Xiamen Children’s Hospital as the implementation setting， a before-and-after control design was adopted to construct an intelligent drug traceability code management system through systematic upgrades involving the technology platform， core mechanisms， and coordination with medical insurance. Key interventions included： upgrading a traceability code management platform and designing a dynamic code pool； innovating differentiated traceability mechanisms for routine， split-dose， and special drugs； establishing a tiered early-warning and emergency response system； and constructing a data coordination and quality control system. The drug traceability code upload rate served as the primary outcome. Process indicators such as the root causes distribution of failed uploads and the duration of medication returns， and a comprehensive outcome （the number of insurance-flagged abnormal prescriptions） were also analyzed. The data between the baseline period （April 2025） and the observation period （June-August 2025） were compared and evaluated. RESULTS After the upgrade， the overall upload rate of drug traceability codes increased from 9.21% （baseline） to 99.86% （August 2025）. The upload rate of traceability codes in previously unmanaged areas， such as the inpatient pharmacy and pharmacy intravenous admixture services， soared from 0 to nearly 100%. The proportion of non-uploads due to system issues fell from 66.44% （June 2025） to 2.62% （August Additionally， the number of insurance-flagged） abnormal prescriptions dropped sharply from 2 275.00 in the first “payment by code” policy month （July 2025） to 212.00 by the end of the observation period （August 2025）， a 90.70% decrease. CONCLUSIONS The developed management system effectively addresses complex scenario challenges such as high-frequency drug splitting. It significantly enhances traceability code upload performance and ensures a high degree of compliance with medical insurance data requirements. These outcomes contribute to proactive risk mitigation against insurance claim denials and demonstrate a concurrent optimization of pharmacy operations.

This study introduces the practice of renovating the sewage treatment system in an old campus of a large com-prehensive hospital.The practice involves redesigning the treatment capacity and overall layout of the sewage treatment system,as well as optimizing the sewage treatment process and daily operations to integrate the sewage treatment capacity of the entire district and improve the operational efficiency of sewage treatment.The findings of this study can serve as a reference for optimizing and renovating sewage treatment systems in other hospitals.

To investigate the prevalence of influenza D virus(IDV)in cattle and swine populations in Jilin Province,China,277 nasopharyngeal swabs were collected from livestock exhibiting influ-enza-like symptoms for IDV detection.Virus isolation was performed using swine testicular(ST)cells for PCR-positive samples,followed by comprehensive analyses including whole-genome se-quencing,phylogenetic analysis,electron microscopic observation of viral morphology,and glycosy-lation site prediction.Two IDV strains were successfully isolated from bovine samples,designated as D/bovine/China/JL22/2024(JL22)and D/bovine/China/JL34/2024(JL34).These strains were demonstrated to have specific hemagglutination activity against turkey red blood cells,while no he-magglutination to chicken,rabbit,or guinea pig erythrocytes.Virus-inoculated ST cells exhibited distinct cytopathic effects(CPE)within 48 h,with a hemagglutination titer of 4 log2 in the culture supernatant.Phylogenetic analysis of the hemagglutinin-esterase-fusion(HEF)gene indicated that these strains were most closely related to the Japanese isolate D/Yamagata2019,belonging to the YAMA2019 lineage.Genomic sequence analysis showed the absence of genetic reassortment in these isolates.In this study,two IDV strains were successfully isolated and characterized,which provides preliminary insights into their genomic sequences and biological properties.The findings confirm the presence of IDV in bovine populations in Jilin Province and provide the fundamental data for future epidemiological surveillance and control strategies of IDV.

As the incidence of autism rises annually,its unknown pathogenesis makes it challenging to treat the varied repetitive and stereotyped behaviors that characterize its core symptoms.The striatum is an important brain region for the control of locomotor behaviors,featuring a unique mosaic structure,complex neural origin,and finely regulated developmental process that is highly susceptible to genetic and environmental influences.Both clinical and basic studies have indicated that abnormal development of the striatal nuclei may contribute to the pathogenesis of these repetitive stereotyped behaviors in autism.Clinical imaging data have primarily identified gross anatomical variations in the stratum(e.g.,its general outline),but lack the resolution necessary to detect the cellular and subcellular alterations within the region.By introducing the abnormalities in the spatiotemporal development of the striatum and their links to the characteristic behaviors of autism,this review aims to advance our understanding of the role of the striatum in autism pathogenesis and to inform future animal studies and clinical research.

Objective:To explore the longitudinal predictive relationship between self-neglect and frailty among older adults.Methods:Data were drawn from the Chinese Longitudinal Healthy Longevity Survey conducted in 2011 (T1), 2014 (T2), and 2018 (T3). A total of 1 495 older adults aged≥65 years at T1 who participated in three consecutive surveys and had no missing key variables were included. General demographic information, self-neglect scores, and frailty status were extracted. Spearman correlation analysis was used to examine the association between self-neglect and frailty. Cross-lagged analysis was employed to investigate the potential causal relationship between the two variables.Results:The self-neglect scores for 1 495 older adults at T1, T2, and T3 were (2.84±1.39), (2.47±1.30), and (2.41±1.20), respectively, showing a declining trend. The frailty scores at T1, T2, and T3 were 0 (0, 1.00), 0 (0, 2.00), and 1.00 (0, 2.00), respectively, indicating an increasing trend. Cross-lagged analysis revealed that self-neglect at T1 positively predicted frailty at T2 (β=0.076, P=0.004). Frailty at both T1 and T2 positively predicted self-neglect at T2 (β=0.057, P=0.044) and T3 (β=0.058, P=0.029), respectively. Conclusions:Frailty among older adults positively predicts self-neglect, and self-neglect also has a certain predictive effect on frailty. Medical staff should strengthen early screening and intervention for frailty in older adults to delay the occurrence and progression of self-neglect.

As the incidence of autism rises annually,its unknown pathogenesis makes it challenging to treat the varied repetitive and stereotyped behaviors that characterize its core symptoms.The striatum is an important brain region for the control of locomotor behaviors,featuring a unique mosaic structure,complex neural origin,and finely regulated developmental process that is highly susceptible to genetic and environmental influences.Both clinical and basic studies have indicated that abnormal development of the striatal nuclei may contribute to the pathogenesis of these repetitive stereotyped behaviors in autism.Clinical imaging data have primarily identified gross anatomical variations in the stratum(e.g.,its general outline),but lack the resolution necessary to detect the cellular and subcellular alterations within the region.By introducing the abnormalities in the spatiotemporal development of the striatum and their links to the characteristic behaviors of autism,this review aims to advance our understanding of the role of the striatum in autism pathogenesis and to inform future animal studies and clinical research.

Objective:To explore the longitudinal predictive relationship between self-neglect and frailty among older adults.Methods:Data were drawn from the Chinese Longitudinal Healthy Longevity Survey conducted in 2011 (T1), 2014 (T2), and 2018 (T3). A total of 1 495 older adults aged≥65 years at T1 who participated in three consecutive surveys and had no missing key variables were included. General demographic information, self-neglect scores, and frailty status were extracted. Spearman correlation analysis was used to examine the association between self-neglect and frailty. Cross-lagged analysis was employed to investigate the potential causal relationship between the two variables.Results:The self-neglect scores for 1 495 older adults at T1, T2, and T3 were (2.84±1.39), (2.47±1.30), and (2.41±1.20), respectively, showing a declining trend. The frailty scores at T1, T2, and T3 were 0 (0, 1.00), 0 (0, 2.00), and 1.00 (0, 2.00), respectively, indicating an increasing trend. Cross-lagged analysis revealed that self-neglect at T1 positively predicted frailty at T2 (β=0.076, P=0.004). Frailty at both T1 and T2 positively predicted self-neglect at T2 (β=0.057, P=0.044) and T3 (β=0.058, P=0.029), respectively. Conclusions:Frailty among older adults positively predicts self-neglect, and self-neglect also has a certain predictive effect on frailty. Medical staff should strengthen early screening and intervention for frailty in older adults to delay the occurrence and progression of self-neglect.

Objective:To integrate the best available evidence regarding the management of perinatal intraventricular hemorrhage (IVH) in preterm infants.Methods:Using keywords such as "intracranial hemorrhage", "intraventricular hemorrhage", "germinal matrix hemorrhage", and their Chinese equivalents, we systematically searched for clinical decisions, guidelines, expert consensuses, evidence summaries, group standards, systematic reviews, and meta-analyses related to IVH management in preterm infants. Data sources included BMJ Best Practice, UpToDate, World Health Organization website, Guidelines International Network, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, Registered Nurses' Association of Ontario, National Guideline Clearinghouse, American Academy of Pediatrics, Canadian Paediatric Society, European Foundation for the Care of Newborn Infants, British Association of Perinatal Medicine, Yiigle, Cochrane Library, Joanna Briggs Institute, PubMed, Web of Science, CINAHL, MEDLINE, Embase, China National Knowledge Infrastructure, Wanfang Data, and SinoMed. The search period spanned from January 2015 to December 2024. Literature screening, quality appraisal, evidence extraction, and synthesis were performed independently according to uniform standards.Results:A total of 12 publications were included, comprising three clinical decisions, three evidence-based guidelines, and six expert consensuses. Thirty-seven best evidence statements were synthesized across four domains: risk factor identification, diagnosis and monitoring, antenatal and delivery room management, and neonatal intensive care unit management. These included 28 strong recommendations (Grade A) and nine weak recommendations (Grade B).Conclusion:The 37 summarized best evidence statements provide an evidence-based foundation for developing clinical management protocols for perinatal IVH in preterm infants.