Diabetic retinopathy （DR） is a microvascular complication of diabetes and one of its most common complications. Prolonged hyperglycemia induces oxidative stress， inflammatory responses， apoptosis， and pathological angiogenesis， ultimately disrupting the blood-retinal barrier（BRB） and leading to visual impairment or even blindness. Recent studies show that the nuclear factor erythroid 2-related factor 2 （Nrf2） signaling pathway plays an important role in the development of DR's pathological changes. Meanwhile， Chinese herbal monomers have been shown to modulate the Nrf2 signaling pathway， thereby intervening in the development of DR. In terms of inhibiting oxidative stress， saponin compounds such as platycodin-D and ginsenoside Rb1 downregulate the expression of malondialdehyde （MDA）， thereby ameliorating retinal oxidative stress. Flavonoids such as total flavonoids from Pueraria lobata flower and puerarin upregulate the expression of superoxide dismutase （SOD） and glutathione peroxidase （GPx）， effectively clearing lipid peroxides. Regarding the suppression of inflammation， phenolic compounds like resveratrol and chlorogenic acid inhibit the nuclear factor kappa B （NF-κB） pathway， reducing the release of tumor necrosis factor-alpha （TNF-α） and mitigating inflammatory responses. In the context of inhibiting apoptosis， polysaccharides such as Polygonatum sibiricum polysaccharide and Angelica sinensis polysaccharide downregulate the expression of the pro-apoptotic protein Bcl-2-associated X protein （Bax） and suppress the activity of the executioner Caspase-3， thereby reducing the apoptosis rate. As for the inhibition of neovascularization， compounds including bilobalide and physcion significantly decrease the protein expression of vascular endothelial growth factor （VEGF）， leading to a reduction in retinal pathological angiogenesis. Furthermore， Chinese herbal compound prescriptions such as Tongluo Zhujing pills， Yiqi Huoxue Yangyin decoction， Qiming granules， and Danlou tablets can also intervene in the onset and progression of DR through the mechanisms described above. In summary， both Chinese herbal monomers and Chinese herbal compound prescriptions can modulate the Nrf2 signaling pathway to inhibit oxidative stress， alleviate inflammation， and participate in maintaining BRB integrity， suppressing retinal neovascularization， and preventing neurodegeneration， thereby delaying the progression of DR. Therefore， this paper reviews and summarizes recent studies at home and abroad on how traditional Chinese medicine （TCM） works to treat DR， and the relationship between the Nrf2 pathway and DR. It aims to provide research ideas for preventing and treating DR.

Objective:To investigate the prevalence of sarcopenia and potential influencing factors in middle-aged and elderly populations in Zhejiang Province.Methods:Data were obtained from Zhejiang Provincial Household Economic Status Survey, a cross-sectional survey was condcuted in middle-aged and olde adults selected through multi-stage sampling in three cities in Zhejiang (Huzhou, Jiaxing and Shaoxing) in July 2023. A total of 3 019 study participants, average age 62.3 years old, 53.5% men, were included according to the inclusion and exclusion criteria. Sarcopenia screening was conducted by using the questionnaire with five sarcopenia related-items. Univariable and multivariable logistic regression analysis was used to identify the factors associated with sarcopenia.Results:The prevalence of sarcopenia in the middle-aged and old study participants was 4.47%. Significant differences were observed between the participants with or without sarcopenia in terms of age, educational level, BMI, alcohol consumption status, diet habit, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, adulthood community socioeconomic status, muscle strength, walking assistance, ability to stand from seat, ability to climb stairs, and fall frequency ( P<0.05). Multivariable logistic regression analysis revealed that old age (≥75 years: OR=2.82, 95% CI: 1.60-4.97), low body weight ( OR=1.96, 95% CI: 1.06-3.62), unhealthy diet habit ( OR=1.57, 95% CI: 1.01-2.46), physical inactivity ( OR=5.80, 95% CI: 3.09-10.88), poor or very poor sleep quality ( OR=1.65, 95% CI:1.23-2.41), number of chronic diseases (1 chronic disease: OR=1.84, 95% CI: 1.08-3.14; 2 chronic diseases: OR=3.22, 95% CI: 1.81-5.71; 3 or more chronic diseases: OR=3.74, 95% CI: 2.11-6.65), poor childhood socioeconomic status ( OR=2.98, 95% CI: 1.23-7.20), and poor adulthood community socioeconomic status ( OR=3.87, 95% CI: 1.63-9.17) were significant risk factors for sarcopenia. Conclusions:The prevalence of sarcopenia was relatively low in middle-aged and old population in Zhejiang. Age, BMI, unhealthy diet, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, and adulthood community socioeconomic status were identified as significant influencing factors.

Smart healthcare plays an important role in easing the strain on medical resources and improving the continuity of chronic disease management. This study analysed the iatrogenic risks from the intrinsic attributes and the external environment of smart healthcare, including doctor-patient conflict risk, technical operation risk, information leakage risk, humanistic absence risk, legal risk, regulatory risk and ethical risk. Based on the " structure process result" model, suggestions were proposed to optimize the construction of a smart healthcare platform for chronic diseases, improve the legal system and industry standards, strengthen talent cultivation and capacity building, establish an integrated regulatory system, and regularly evaluate the effectiveness of chronic disease management. These suggestions provided references for creating a healthy, orderly, and safe smart healthcare environment for chronic disease patients.

Objective To understand the clinical characteristics of patients with Streptococcus anginosus group(SAG)pulmonary abscess and resistance of SAG.Methods 67 patients with pulmonary abscess admitted to a hos-pital from January 2018 to May 2022 were retrospectively analyzed,clinical data of patients with SAG pulmonary abscess were analyzed,and the minimum inhibitory concentration of antimicrobial agents to 18 SAG strains was de-tected by microbroth dilution method,the carriage of resistance genes and virulence genes of SAG were detected by high-throughput sequencing technology.Results Among 67 patients with pulmonary abscess,SAG accounted for 29.9％(20/67),out of which 2 were excluded due to bacterial inactivation,and 18 patients were included for fur-ther studies.18 patients with SAG pulmonary abscess were all community acquired,with an average age of(60.9±9.1)years.There were 13(72.2％)male patients,most patients(94.4％)complicated chronic pulmonary disease,with cough(94.4％)and expectoration(88.9％)as the initial symptoms,some patients(44.4％)had chest pain,and more than half(61.1％)didn't have fever.The proportion of neutrophils,erythrocyte sedimentation rate,and C-reactive protein were mostly elevated,while procalcitonin was normal.The resistance rate of 18 SAG strains to erythromycin,clindamycin,and tetracycline was＞65％,out of which 14 strains carried resistance gene ermB,13 strains carried resistance gene tetM,and 1 strain carried both resistance gene msrD and mefA.18 SAG strains were detected virulence gene psaA,out of which 3 strains were detected virulence gene nan A.Conclusion SAG is an im-portant pathogen that causes pulmonary abscess,and the patients'complications are mainly chronic pulmonary di-seases,with non-specific clinical manifestations;Most strains carry ermB and tetM genes,mediating resistance to macrolides,lincosamides,and tetracyclines.

Recently, intelligent care is gradually changing the traditional care way, and artificial intelligence (AI) application is gradually broadening in the field of assisted reproduction. This review systematically analyzes the AI application in multiple aspects of reproductive health care. It also indicates the challenge during the process, including data privacy, technical reliability, ethics and legal provisions, and humanistic care. Both the opportunities of AI in assisted reproduction are highlighted and the ensuing problems are analyzed in depth. The purpose is to provide ideas for future studies to ensure that AI technology can be safely, efficiently and responsibly integrated with the field of reproductive health care.

Oocyte maturation disorders and fertilization failures are caused by a variety of factors, including complex factors such as chromosomal abnormalities and poor oocyte quality. With the widespread use of high-throughput sequencing technology, more and more genetic mutations have been found to be associated with oocyte maturation and fertilization process in infertile patients. This paper summarizes and discusses 11 key genes ( TRIP13, TBPL2, LHX8, PATL2, TUBB8, CDC20, WEE2, ZP, ASTL, JUNO and CD9) related to oocyte maturation and fertilization-related disorders in females, providing a basis for research on the prevention of diseases associated with oocyte maturation blockage and fertilization failure and the development of targeted therapies.

Non-classical congenital adrenal hyperplasia (NCCAH), an autosomal recessive disorder, stems from genetic mutations affecting the enzymes and cofactors integral to adrenal steroidogenesis. These mutations may result in diminished activity or a complete loss of function for critical enzymes, such as 21-hydroxylase, 11β-hydroxylase, 3β-hydroxysteroid dehydrogenase, 17α-hydroxylase, and the steroidogenic acute regulatory protein (StAR). The impairment of these enzymatic processes has profound implications for reproductive health in females, mediated through both genetic and endocrine pathways. This review aims to explore the pathogenesis of various enzyme defects in different types of NCCAH, their clinical features, and their impact on female fertility. It is hoped that this will help refine the diagnostic strategies for infertility associated with NCCAH, thereby enhancing fertility of patients and providing new directions and opportunities for further research in this field.

Recently, intelligent care is gradually changing the traditional care way, and artificial intelligence (AI) application is gradually broadening in the field of assisted reproduction. This review systematically analyzes the AI application in multiple aspects of reproductive health care. It also indicates the challenge during the process, including data privacy, technical reliability, ethics and legal provisions, and humanistic care. Both the opportunities of AI in assisted reproduction are highlighted and the ensuing problems are analyzed in depth. The purpose is to provide ideas for future studies to ensure that AI technology can be safely, efficiently and responsibly integrated with the field of reproductive health care.

Oocyte maturation disorders and fertilization failures are caused by a variety of factors, including complex factors such as chromosomal abnormalities and poor oocyte quality. With the widespread use of high-throughput sequencing technology, more and more genetic mutations have been found to be associated with oocyte maturation and fertilization process in infertile patients. This paper summarizes and discusses 11 key genes ( TRIP13, TBPL2, LHX8, PATL2, TUBB8, CDC20, WEE2, ZP, ASTL, JUNO and CD9) related to oocyte maturation and fertilization-related disorders in females, providing a basis for research on the prevention of diseases associated with oocyte maturation blockage and fertilization failure and the development of targeted therapies.

Non-classical congenital adrenal hyperplasia (NCCAH), an autosomal recessive disorder, stems from genetic mutations affecting the enzymes and cofactors integral to adrenal steroidogenesis. These mutations may result in diminished activity or a complete loss of function for critical enzymes, such as 21-hydroxylase, 11β-hydroxylase, 3β-hydroxysteroid dehydrogenase, 17α-hydroxylase, and the steroidogenic acute regulatory protein (StAR). The impairment of these enzymatic processes has profound implications for reproductive health in females, mediated through both genetic and endocrine pathways. This review aims to explore the pathogenesis of various enzyme defects in different types of NCCAH, their clinical features, and their impact on female fertility. It is hoped that this will help refine the diagnostic strategies for infertility associated with NCCAH, thereby enhancing fertility of patients and providing new directions and opportunities for further research in this field.