ObjectiveTo investigate the mechanisms by which Huanglian Jiedutang （HLJDT） modulates microglial （MG） phenotypes through the sialic acid-binding Ig-like lectin 2 （SIGLEC2/CD22）/Src-homology-2-domain-containing protein tyrosine phosphatase-1 （SHP-1）/phosphorylated protein kinase B （p-Akt） signaling pathway， thereby promoting myelin repair and alleviating agitation-like behaviors in vascular dementia （VAD）. MethodsSixty C57BL/6J mice were randomly assigned to a sham （normal） group， model group， HLJDT low-， medium-， and high-dose groups （2.5， 5， and 10 g·kg^-1·d^-1）， and a risperidone group （2 mg·kg^-1·d^-1）， with 10 mice per group. VAD was induced by bilateral common carotid artery stenosis （BCAS）. From day 42， mice received drug interventions for 2 weeks. Agitation-like behaviors were assessed using the resident-intruder test. After behavioral testing， ventrolateral part of the ventromedial hypothalamus （VMHvl） tissues were collected. Western blot was used to measure protein levels of myelin oligodendrocyte glycoprotein （MOG）， myelin basic protein （MBP）， proteolipid protein （PLP）， inducible nitric oxide synthase （iNOS）， arginase-1 （Arg1）， CD86， CD206， and CD22， SHP-1， and p-Akt. Immunofluorescence was used to evaluate myelin-associated glycoprotein （MAG） intensity and the proportion of iNOS⁺/ionized calcium-binding adapter molecule 1 （Iba1）⁺ cells. ELISA was used to detect tumor necrosis factor-α （TNF-α）， interleukin （IL）-6， and IL-1β. ResultsCompared with the normal group， the model group exhibited markedly increased biting and aggressive behaviors and shortened attack latency （P<0.01）. MOG， MBP， and PLP protein levels and MAG fluorescence intensity were significantly reduced （P<0.05， P<0.01）. INOS and CD86 expression and TNF-α， IL-6， and IL-1β levels were significantly elevated （P<0.01）. CD22 and SHP-1 expression increased significantly （P<0.01）， whereas p-Akt expression decreased （P<0.01）. Compared with the model group， the medium- and high-dose HLJDT groups and the risperidone group showed markedly reduced biting and aggression （P<0.05， P<0.01） and prolonged attack latency （P<0.01）. MOG， MBP， and PLP levels and MAG fluorescence intensity were significantly increased （P<0.05， P<0.01）. INOS， CD86， TNF-α， IL-6， and IL-1β levels decreased significantly （P<0.05， P<0.01）. CD22 and SHP-1 expression decreased， while p-Akt expression increased significantly （P<0.05， P<0.01）. ConclusionHLJDT may modulate CD22/SHP-1/p-Akt signaling in the VMHvl， promote the shift of MG toward an anti-inflammatory and phagocytic phenotype， enhance myelin repair， and improve agitation-like behaviors in VAD mice.

Chronic mucocutaneous candidiasis (CMC) is an infectious phenotype characterized by recurrent or persistent infections caused by Candida species that affect the skin, nails, oral, and genital mucosae for a duration exceeding six months. Current research suggests that CMC is an immunodeficiency disease with a complex pathogenesis. Patients with CMC have various defects in nonspecific and/or specific immunity against Candida infection, resulting in the inability of patients to defend themselves against Candida infection. CMC can be stratified into primary CMC and secondary CMC based on etiology. Primary CMC is often associated with genetic mutations leading to immunodeficiencies in T helper cell 17 and interleukin-17, whereas secondary CMC is frequently linked to factors such as human immunodeficiency virus infection, diabetes mellitus, and immunosuppressive therapy. Primary CMC typically manifests as Candida infections, with distinct genetic mutations often correlating to varied concomitant symptoms. Secondary CMC may present with not only superficial mucosal Candida infections and manifestations of the underlying primary disease but also with invasive fungal infections. Diagnosing CMC requires an integration of medical history and clinical presentation, supplemented by the outcomes of auxiliary diagnostic procedures, including microscopic examination of fungal smear, fungal culture, immunological testing, and genetic sequencing and analysis. Furthermore, confirming primary CMC requires exclusion of the aforementioned secondary factors. At present, antifungal drugs such as triazoles, echinocandins, and polyenes are the main treatment for CMC. Moreover, immunotherapy with biologics such as Janus kinase (JAK) inhibitors provides more options for the clinical treatment of patients with CMC. Gene therapy also has potential clinical application value. In this review, we discuss the etiologies, pathogenesis, clinical manifestations, diagnosis, and treatments of CMC, aiming to provide a reference for the clinical diagnosis and treatment of CMC.

The Hazardous Drug Exposure Management: Information for Healthcare Settings (2023 Edition) released by the National Institute for Occupational Safety and Health (NIOSH) of US provided detailed protection recommendations for medical personnel to mitigate the risks of occupational exposure to hazardous drugs. This study reviewed the literature in terms of hazard identification, occupational exposure assessment, risk assessment, risk management planning, and waste and spill control. It also explored the precautions for each step of hazardous drug handling, aiming to raise medical personnel's awareness of hazardous drug protection and improve their self-protection skills. The findings provided valuable references for medical institutions to develop hazardous drug disposal plans and reduce employees' exposure to hazardous drugs and occupational injuries.

Objective: To explore the impact of sleep quality, experience of childhood maltreatment, and their interaction on depressive symptoms among middle school students, so as to provide the reference for early intervention of depressive symptoms among middle school students. Methods: From September to December 2023, a questionnaire survey was conducted among 1 231 students from two secondary schools in Harbin, Heilongjiang Province by a convenient sampling method. The survey included general demographic information, Childhood Trauma Questionnaire Short Form, Pittsburgh Sleep Quality Index and Short Version of Center for Epidemiological Studies Depression Scale. The Chi square test was used to analyze the differences in depressive symptom, sleep quality and childhood maltreatment among students with different demographic characteristics. Correlation analysis was conducted using Logistic regression, and interaction analysis was performed by both additive and multiplicative interaction models. Results: The detection rate of depressive symptoms among middle school students was 22.7%, and the rate for high school students (35.2%) was significantly higher than that for middle school students (17.0%) ( χ 2=50.35, P <0.01). The detection rates of depressive symptoms among middle school students with a history of childhood maltreatment and poor sleep quality were 45.8% and 44.0%, respectively. Multivariate Logistic regression analysis showed that compared to students without a history of childhood maltreatment, students with a history of childhood maltreatment had a higher risk of depressive symptoms ( OR =4.49，95% CI =3.31~ 6.09 , P <0.01);students with poor sleep quality had a higher risk of depressive symptoms than students with good sleep quality ( OR = 5.99，95% CI =4.37~8.22, P <0.01).The interaction results showed that the presence of childhood maltreatment and poor sleep quality had an additive interaction on the occurrence of depression in middle school students. Compared with students without childhood maltreatment and having good sleep quality, students with childhood maltreatment and poor sleep quality had a 22.49 times higher risk of developing depression ( OR =22.49，95% CI =14.22~35.59, P <0.01). Conclusion Depressive symptoms among middle school students are associated with childhood maltreatment and poor sleep quality, and there is an additive interaction between childhood maltreatment and poor sleep quality on the impact of depressive symptoms.

ObjectivePatients with hepatic glycogen storage disease（GSD）have recurrent episodes of hypoglycemia. This study aimed to investigate and analyze blood glucose and biochemical indicators in pediatric patients with hepatic GSD， thus provide data support for hypoglycemia prevention and its clinical management. MethodsA cross-sectional field study was conducted among patients with hepatic GSD treated in the Department of Pediatrics of Guangdong Provincial People's Hospital on July 14， 2024. We collected the peripheral blood samples of the patients and their healthy family controls on site， then analyzed and compared their blood glucose and biochemical indicators. ResultsOf the 44 patients with hepatic GSD， there were 34 males and 10 females， including GSD Ib（n =14）， GSD Ia（n=15）， GSD Ⅲ（n=2）， GSD Ⅵ（n=7）and GSD Ⅸ（n=6）. The average age was 7.60（5.08-11.98）years. All patients were on uncooked cornstarch（UCCS）therapy. Of the patients， 77.3%（34/44）had hepatomegaly， 61.4%（27/44）had recurrent hypoglycemia， 61.4%（27/44）had blood glucose ≤ 3.9 mmol/L， 18.2%（8/44）had blood glucose ≤ 2.8 mmol/L， and none of the 8 cases was GSD Ib. The lowest blood glucose level was 1.19 mmol/L and no episodes of hypoglycemia occurred. Of the family control subjects， 65.9%（29/44）had blood glucose ≤ 3.9 mmol/L. There was no significant difference in hypoglycemia prevalence between hepatic GSD group and control group（P=0.658）. The hepatic GSD patients had hyperlactacemia， hyperuricemia and hypercholesterolemia prevalence rates of 65.9%， 45.5% and 9.1%， respectively， as compared with 18.2%， 43.2% and 15.9%， respectively， for the family control subjects. No significant difference was found in the prevalence rates of hyperuricemia and hypercholesterolemia between the two groups（P=0.830 and P=0.334， respectively）. ConclusionsAsymptomatic hypoglycemia is common in patients with hepatic GSD， especially in non-GSD-Ib patients. It is necessary to optimize the diet management of UCCS， conduct dynamic blood glucose monitoring and follow a light diet， so as to decrease hyperuricemia and hypercholesterolemia， avoid and reduce the serious adverse reactions and complications caused by severe hypoglycemia.

In this study, we constructed a GLP-2R-HEK293 cell line and established a method for the determination of the in vitro biological activity of teduglutide based on HTRF, after optimizing experimental conditions and methodological verification. We also carried out relative potency detection of teduglutide pharmaceutical products using this method. The result showed that there was a quantitative-efficient relationship between the teduglutide activity and cAMP contents in GLP-2R-HEK293 cells, which conformed to four-parameter model. Method verification results of five concentrations of teduglutide (64%, 80%, 100%, 125% and 156%) met the requirements of the General Rules of Chinese Pharmacopoeia, 2020 edition, Volume IV (9401). We then analyzed the relative potency of three batches of teduglutide drug substances and three batches of drug products. The linearity, regression and parallelism of the obtained curves all fit the system suitability requirements. The relative potency of six batches of teduglutide was from 83% to 105%. In summary, the biological activity detection method established in this study was accurate, precise, simple and time-saving, which can be used for quality control of teduglutide pharmaceutical products.

Objective To evaluate the performance of the artificial intelligence (AI)-enabled snail identification system for recognition of Oncomelania hupensis robertsoni and Tricula in schistosomiasis-endemic areas of Yunnan Province. Methods Fifty O. hupensis robertsoni and 50 Tricula samples were collected from Yongbei Township, Yongsheng County, Lijiang City, a schistosomiasis-endemic area in Yunnan Province in May 2024. A total of 100 snail sample images were captured with smartphones, including front-view images of 25 O. hupensis robertsoni and 25 Tricula samples (upward shell opening) and back-view images of 25 O. hupensis robertsoni and 25 Tricula samples (downward shell opening). Snail samples were identified as O. hupensis robertsoni or Tricula by schistosomiasis control experts with a deputy senior professional title and above according to image quality and morphological characteristics. A standard dataset for snail image classification was created, and served as a gold standard for recognition of snail samples. A total of 100 snail sample images were recognized with the AI-enabled intelligent snail identification system based on a WeChat mini program in smartphones. Schistosomiasis control professionals were randomly sampled from stations of schistosomisis prevention and control and centers for disease control and prevention in 18 schistosomiasis-endemic counties (districts, cities) of Yunnan Province, for artificial identification of 100 snail sample images. All professionals are assigned to two groups according the median years of snail survey experiences, and the effect of years of snail survey experiences on O. hupensis robertsoni sample image recognition was evaluated. A receiver operating characteristic (ROC) curve was plotted, and the sensitivity, specificity, accuracy, Youden’s index and the area under the curve (AUC) of the AI-enabled intelligent snail identification system and artificial identification were calculated for recognition of snail sample images. The snail sample image recognition results of AI-enabled intelligent snail identification system and artificial identification were compared with the gold standard, and the internal consistency of artificial identification results was evaluated with the Cronbach’s coefficient alpha. Results A total of 54 schistosomiasis control professionals were sampled for artificial identification of snail sample image recognition, with a response rate of 100% (54/54), and the accuracy, sensitivity, specificity, Youden’s index, and AUC of artificial identification were 90%, 86%, 94%, 0.80 and 0.90 for recognition of snail sample images, respectively. The overall Cronbach’s coefficient alpha of artificial identification was 0.768 for recognition of snail sample images, and the Cronbach’s coefficient alpha was 0.916 for recognition of O. hupensis robertsoni snail sample images and 0.925 for recognition of Tricula snail sample images. The overall accuracy of artificial identification was 90% for recognition of snail sample images, and there was no significant difference in the accuracy of artificial identification for recognition of O. hupensis robertsoni (86%) and Tricula snail sample images (94%) (χ² = 1.778, P > 0.05). There was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (88%) and downward shell openings (92%) (χ² = 0.444, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less (75%) and more than 6 years (90%) (χ² = 7.792, P < 0.05). The accuracy, sensitivity, specificity and AUC of the AI-enabled intelligent snail identification system were 88%, 100%, 76% and 0.88 for recognition of O. hupensis robertsoni snail sample images, and there was no significant difference in the accuracy of recognition of O. hupensis robertsoni snail sample images between the AI-enabled intelligent snail identification system and artificial identification (χ² = 0.204, P > 0.05). In addition, there was no significant difference in the accuracy of artificial identification for recognition of snail sample images with upward (90%) and downward shell openings (86%) (χ² = 0.379, P > 0.05), and there was a significant difference in the accuracy of artificial identification for recognition of snail sample images between schistosomiasis control professionals with snail survey experiences of 6 years and less and more than 6 years (χ² = 5.604, P_adjusted < 0.025). Conclusions The accuracy of recognition of snail sample images is comparable between the AI-enabled intelligent snail identification system and artificial identification by schistosomiasis control professionals, and the AI-enabled intelligent snail identification system is feasible for recognition of O. hupensis robertsoni and Tricula in Yunnan Province.

ObjectiveTo investigate the effect and mechanism of Yijingtang （YJT） in treating diminished ovarian reserve （DOR） in rats by regulating the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsFifty female SD rats with normal estrous cycles were randomly allocated into blank， model， low- and high-dose （12.579 and 25.158 g·kg^-1， respectively） YJT， and dehydroepiandrosterone （7.487 5 mg·kg^-1） groups， with 10 rats in each group. The rats in other groups except the blank group were administrated with the tripterygium glycosides tablet suspension （5 mg·kg^-1） by gavage for 14 days for the modeling of DOR. The rats in the drug treatment groups were administrated with corresponding drugs by gavage from day 15 for 30 consecutive days， and those in the blank and model groups received equal volumes of distilled water. The vaginal exfoliated cell smears were observed to assess the changes in the estrous cycle. The wet weight of bilateral ovaries was weighed for calculation of the ovarian index. Hematoxylin-eosin staining was performed to observe the histopathological changes in the ovaries and the proportions of follicles at various levels were calculated. The serum levels of sex hormones ［follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， and anti-Müllerian hormone （AMH）］ and inflammatory factors ［tumor necrosis factor-alpha （TNF-α）， interleukin-1beta （IL-1β）， and interleukin-10 （IL-10）］ were determined by enzyme-linked immunosorbent assay. Real-time quantitative polymerase chain reaction（Real-time PCR） was conducted to determine the mRNA levels of TLR4， MyD88， NF-κB profilin α （IκBα）， NF-κB and inflammatory factors in the ovarian tissue. Western blot was employed to measure the protein levels of factors related to the TLR4/MyD88/NF-κB signaling pathway in the ovarian tissue. Immunofluorescence （IF） was used to detect the nuclear translocation of NF-κB p65 in the ovarian tissue. ResultsCompared with the blank group， the model group showed disturbed estrous cycles， increased inflammatory infiltration in the ovarian tissue， decreases in ovarian index and proportion of presinusoidal follicles， and an increase in the proportion of atretic follicles （P<0.05， P<0.01）. In addition， the model group showed elevated serum levels of FSH， LH， TNF-α， and IL-1β， up-regulated mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.01）， lowered serum levels of AMH， E₂， and IL-10， down-regulated mRNA level of IL-10 （P<0.01）， and massive nuclear translocation of NF-κB p65 in the ovarian tissue. Compared with the model group， dehydroepiandrosterone and low and high doses of YJT restored the disturbed estrous cycle， reduced inflammatory infiltration in the ovarian tissue， increased the ovarian index （P<0.01）， and changed the follicular composition ratio （P<0.01）. Furthermore， the drugs lowered the serum levels of FSH， LH， TNF-α， and IL-1β， down-regulated the mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and the protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.05， P<0.01）， raised the serum levels of AMH， E₂， and IL-10， up-regulated the mRNA level of IL-10 （P<0.05， P<0.01）， and reduced the nuclear translocation of NF-κB p65 in the ovarian tissue. ConclusionYJT may inhibit the release and expression of inflammatory factors by regulating the TLR4/MyD88/NF-κB signaling pathway to attenuate the inflammatory responses in the ovarian tissue， thereby improving the ovarian function in DOR rats.

The classic formula Fangji Fulingtang is from ZHANG Zhongjing's Synopsis of the Golden Chamber in the Eastern Han dynasty. It is composed of Stephaniae Tetrandrae Radix， Astragali Radix， Cinnamomi Ramulus， Poria， and Glycyrrhizae Radix et Rhizoma， with the effects of reinforcing Qi and invigorating spleen， warming Yang and promoting urination. By a review of ancient medical books， this paper summarizes the composition， original plants， processing， dosage， decocting methods， indications and other key information of Fangji Fulingtang， aiming to provide a literature basis for the research， development， and clinical application of preparations based on this formula. Synonyms of Fangji Fulingtang exist in ancient medical books， while the formula composition in the Synopsis of the Golden Chamber is more widespread and far-reaching. In this formula， Stephaniae Tetrandrae Radix， Astragali Radix， Cinnamomi Ramulus， Poria， and Glycyrrhizae Radix et Rhizoma are the dried root of Stephania tetrandra， the dried root of Astragalus embranaceus var. mongholicus， the dried shoot of Cinnamomum cassia， the dried sclerotium of Poria cocos， and the dried root and rhizome of Glycyrrhiza uralensis， respectively. Fangji Fulingtang is mainly produced into powder， with the dosage and decocting method used in the past dynasties basically following the original formula. Each bag is composed of Stephaniae Tetrandrae Radix 13.80 g， Astragali Radix 13.80 g， Cinnamomi Ramulus 13.80 g， Poria 27.60 g， and Glycyrrhizae Radix et Rhizoma 9.20 g. The raw materials are purified， decocted in water from 1 200 mL to 400 mL， and the decoction should be taken warm， 3 times a day. Fangji Fulingtang was originally designed for treating skin edema， and then it was used to treat impediment in the Qing dynasty. In modern times， it is mostly used to treat musculoskeletal and connective tissue diseases and circulatory system diseases， demonstrating definite effects on various types of edema and heart failure. This paper clarifies the inheritance of Fangji Fulingtang and reveals its key information （attached to the end of this paper）， aiming to provide a theoretical basis for the development of preparations based on this formula.

ObjectiveTo investigate the effect and mechanism of Yijingtang （YJT） in treating diminished ovarian reserve （DOR） in rats by regulating the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB） signaling pathway. MethodsFifty female SD rats with normal estrous cycles were randomly allocated into blank， model， low- and high-dose （12.579 and 25.158 g·kg^-1， respectively） YJT， and dehydroepiandrosterone （7.487 5 mg·kg^-1） groups， with 10 rats in each group. The rats in other groups except the blank group were administrated with the tripterygium glycosides tablet suspension （5 mg·kg^-1） by gavage for 14 days for the modeling of DOR. The rats in the drug treatment groups were administrated with corresponding drugs by gavage from day 15 for 30 consecutive days， and those in the blank and model groups received equal volumes of distilled water. The vaginal exfoliated cell smears were observed to assess the changes in the estrous cycle. The wet weight of bilateral ovaries was weighed for calculation of the ovarian index. Hematoxylin-eosin staining was performed to observe the histopathological changes in the ovaries and the proportions of follicles at various levels were calculated. The serum levels of sex hormones ［follicle-stimulating hormone （FSH）， luteinizing hormone （LH）， estradiol （E₂）， and anti-Müllerian hormone （AMH）］ and inflammatory factors ［tumor necrosis factor-alpha （TNF-α）， interleukin-1beta （IL-1β）， and interleukin-10 （IL-10）］ were determined by enzyme-linked immunosorbent assay. Real-time quantitative polymerase chain reaction（Real-time PCR） was conducted to determine the mRNA levels of TLR4， MyD88， NF-κB profilin α （IκBα）， NF-κB and inflammatory factors in the ovarian tissue. Western blot was employed to measure the protein levels of factors related to the TLR4/MyD88/NF-κB signaling pathway in the ovarian tissue. Immunofluorescence （IF） was used to detect the nuclear translocation of NF-κB p65 in the ovarian tissue. ResultsCompared with the blank group， the model group showed disturbed estrous cycles， increased inflammatory infiltration in the ovarian tissue， decreases in ovarian index and proportion of presinusoidal follicles， and an increase in the proportion of atretic follicles （P<0.05， P<0.01）. In addition， the model group showed elevated serum levels of FSH， LH， TNF-α， and IL-1β， up-regulated mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.01）， lowered serum levels of AMH， E₂， and IL-10， down-regulated mRNA level of IL-10 （P<0.01）， and massive nuclear translocation of NF-κB p65 in the ovarian tissue. Compared with the model group， dehydroepiandrosterone and low and high doses of YJT restored the disturbed estrous cycle， reduced inflammatory infiltration in the ovarian tissue， increased the ovarian index （P<0.01）， and changed the follicular composition ratio （P<0.01）. Furthermore， the drugs lowered the serum levels of FSH， LH， TNF-α， and IL-1β， down-regulated the mRNA levels of TLR4， MyD88， IκBα， NF-κB， TNF-α， and IL-1β and the protein levels of TLR4， MyD88， p-IκBα， and p-NF-κB p65 （P<0.05， P<0.01）， raised the serum levels of AMH， E₂， and IL-10， up-regulated the mRNA level of IL-10 （P<0.05， P<0.01）， and reduced the nuclear translocation of NF-κB p65 in the ovarian tissue. ConclusionYJT may inhibit the release and expression of inflammatory factors by regulating the TLR4/MyD88/NF-κB signaling pathway to attenuate the inflammatory responses in the ovarian tissue， thereby improving the ovarian function in DOR rats.