Childhood obesity has become a global public health issue. Current research indicates that early life obesogen exposure has emerged as a significant risk factor for childhood obesity. While obesogens have been confirmed to influence the development and progression of childhood obesity through mechanisms such as endocrine disruption and epigenetic programming, controversies remain regarding the establishment of causal relationships, assessment of combined exposures, and validation of transgenerational effects in humans. In recent years, novel approaches including multi-omics technologies, exposome-based analysis, and multigenerational cohort studies have integrated dynamic biomarker monitoring with analyses of social-environmental interactions, offering new perspectives and methodologies for constructing a systematic "exposure-mechanism-outcome" research framework. This article reviews literature from PubMed and Web of Science up to August 2025 on the association between early life obesogen exposure and childhood obesity, summarizing evidence on the health effects of early life obesogen exposure, major exposure pathways and internal exposure assessment, interactions and amplifying effects of social and environmental factors, as well as the biological mechanisms underlying obesogen action. It further examines current research frontiers and challenges, aiming to provide a theoretical foundation for early prevention and precision intervention of childhood obesity.

In recent years,significant breakthroughs have been achieved in the immunotherapy for Alzheimer's disease.In line with global advancements,two anti-amyloid-β monoclonal antibodies have been approved and successfully launched in China for clinical use.Lecanemab and Donanemab were officially used in June 2024 and April 2025 in China,respectively.In order to standardize the rational and safe application of anti-amyloid-β monoclonal antibodies for Alzheimer's disease in China,this article integrates recom-mendations from the clinical trials and real-world experience from the author's team and domestic peers to further update the recom-mendations for the clinical use of anti-amyloid-β monoclonal antibody based on the 2024 version.It includes indications for therapy,pre-treatment evaluation and preparation,administration protocols and safety measures during treatment,and post-treatment monitor-ing strategies.

Objective: To understand current status and related factors of breakfast among primary and secondary school students in Zhejiang Province, so as to provide a scientific basis for improving breakfast habits of primary and secondary school students. Methods: During May to November of 2023, 33 326 students from grade four to six of primary schools and grade one to two of secondary schools were selected from 90 counties and cities in Zhejiang Province by using the stratified cluster random sampling method. General information and breakfast consumption were collected by questionnaire. Multivariate Logistic regression was used to analyze the related factors of breakfast. Results: About 81.29% of the primary and secondary school students reported regular breakfast consumption. The rate of regular breakfast consumption was higher on the school days (92.23%) than on the weekends (85.17%), and higher in primary school students (85.83%) compared to secondary school students (74.71%), with statistically significant differences ( χ 2=827.42, 655.03, P <0.01). About 49.19% of primary and secondary school students had their breakfast within 10 minutes or less, and 83.30% of primary and secondary school students had 3-5 food groups for breakfast. The proportions of students who consumed cereals and potatoes, milk, and eggs were respectively 18.76%, 28.85%, 14.63%. About 22.84%, 28.00 %, 32.60% and 32.23% of the students had no meat, soybeans, vegetables and fruits in their breakfast. The results of multivariate Logistic regression analysis showed that girls, rural area, secondary school, place of living (dormitory, others), migrant parent (one or both outside the hometown), late bedtime (22:00-22:59, 23:00 and later) and late wake up time (9:00 and later) on the weekends were positively correlated with no having breakfast every day ( OR=1.22, 1.40, 1.46, 1.20, 1.20, 1.34, 1.36, 1.41 , 3.51, 2.32, P <0.05). The time of physical activity per day (30-<60, 60-<90, 90-120, >120 min), bedtime (21:00-21:59, 22:00-22:59) and wake up time (6:00-6:59, 7:00-7:59) on school days were negatively correlated with no having breakfast every day ( OR=0.75, 0.64, 0.67, 0.64, 0.77, 0.82, 0.75, 0.67, P <0.05). Conclusions There is a considerable number of primary and secondary school students with irregular breakfast consumption, which are related to multiple factors. Therefore, it is necessary to strengthen nutrition education and improve the behavior of breakfast for primary and secondary school students.

Objective: The study aimed to analyze the association between different types of obesity and dyslipidemia among rural primary and middle school students in Zhejiang Province, so as to inform strategies for prevention and control of childhood obesity and hyperlipidemia. Methods: As part of Nutrition Improvement Programme for Rural Compulsory Education Students, 1 244 participants were selected by stratified cluster random sampling in 5 counties of Zhejiang Province during September to December 2021. Physical examination, detection of blood lipid and questionnaire survey were conducted. The Chi -square test and Logistic regression analyses were used to assess the association between different types of obesity and dyslipidemia. Results: The prevalence rates of overweight, obesity, abdominal obesity, and hyperlipidemia were 15.11%, 12.46%, 17.60%, and 21.78%. Obesity and abdominal obesity were correlated to high risk of high triglycerides ( OR =3.97, 95% CI =2.54-6.20; OR =4.45, 95% CI =2.95- 6.72 )( P <0.05). Compared with the non overweight and obese group with normal waist circumference,the overweight and obesity group were correlated to high risk of high cholesterol ( OR=2.53, 95%CI =1.45-4.42, P <0.05). Abdominal overweight or obese group had the highest risk for dyslipidemia and triglycerides ( OR =1.82, 95% CI =1.33-2.48; OR =3.64, 95% CI =2.45-5.43) ( P < 0.05). Conclusions The prevalence rates of overweight, obesity, abdominal obesity, and hyperlipidemia are relatively high in rural primary and middle school students of Nutrition Improvement Programme for Rural Compulsory Education Students in Zhejiang Province. Abdominal obesity is a more important risk factor for hyperlipidemia. Waist circumference should be the focus of considerable attention.

ObjectiveTo screen the differential markers by analyzing volatile components in Dalbergia odorifera and its counterfeits， in order to provide reference for authentication of D. odorifera. MethodThe volatile components in D. odorifera and its counterfeits were detected by headspace gas chromatography-mass spectrometry（HS-GC-MS）， and the GC conditions were heated by procedure（the initial temperature of the column was 50 ℃， the retention time was 1 min， and then the temperature was raised to 300 ℃ at 10 ℃ for 10 min）， the carrier gas was helium， and the flow rate was 1.0 mL·min^-1， the split ratio was 10∶1， and the injection volume was 1 mL. The MS conditions used electron bombardment ionization（EI） with the scanning range of m/z 35-550. The compound species were identified by database matching， the relative content of each component was calculated by the peak area normalization method， and principal component analysis（PCA）， orthogonal partial least squares-discrimination analysis（OPLS-DA） and cluster analysis were performed on the detection results by SIMCA 14.1 software， and the differential components of D. odorifera and its counterfeits were screened out according to the variable importance in the projection（VIP） value>2 and P<0.05. ResultA total of 26， 17， 8， 22， 24 and 7 volatile components were identified from D. odorifera， D. bariensis， D. latifolia， D. benthamii， D. pinnata and D. cochinchinensis， respectively. Among them， there were 11 unique volatile components of D. odorifera， 6 unique volatile components of D. bariensis， 3 unique volatile components of D. latifolia， 6 unique volatile components of D. benthamii， 8 unique volatile components of D. pinnata， 4 unique volatile components of D. cochinchinensis. The PCA results showed that， except for D. latifolia and D. cochinchinensis， which could not be clearly distinguished， D. odorifera and other counterfeits could be distributed in a certain area， respectively. The OPLS-DA results showed that D. odorifera and its five counterfeits were clustered into one group each， indicating significant differences in volatile components between D. odorifera and its counterfeits. Finally， a total of 31 differential markers of volatile components between D. odoriferae and its counterfeits were screened. ConclusionHS-GC-MS combined with SIMCA 14.1 software can systematically elucidate the volatile differential components between D. odorifera and its counterfeits， which is suitable for rapid identification of them.

ObjectiveTo establish the identification method of Dalbergiae Odoriferae Lignum（DOL） and its counterfeits by nuclear magnetic resonance hydrogen spectrum（¹H-NMR） combined with multivariate statistical analysis. Method¹H-NMR spectra of DOL and its counterfeits were obtained by NMR， and the full composition information was established and transformed into a data matrix， and the detection conditions were as follows：taking dimethyl sulfoxide-d₆（DMSO-d₆） containing 0.03% tetramethylsilane（TMS） as the solvent， the constant temperature at 298 K（1 K=-272.15 ℃）， pulse interval of 1.00 s， spectrum width of 12 019.23 Hz， the scanning number of 16 times， and the sampling time of 1.08 s. Similarity examination and hierarchical cluster analysis（HCA） were performed on the data matrix of DOL and its counterfeits， and orthogonal partial least squares-discriminant analysis（OPLS-DA） was used to analyze the data matrix and identify the differential components between them. In the established OPLS-DA category variable value model， the category variable value of DOL was set as 1， and the category variable value of the counterfeits was set as 0， and the threshold was set as ±0.3， in order to identify the commercially available DOL. The OPLS-DA score plot was used to determine the types of counterfeits in commercially available DOL， and it was verified by thin layer chromatography（TLC）. ResultThe results of similarity analysis and HCA showed that there was a significant difference between DOL and its counterfeits. OPLS-DA found that the differential component between DOL and its counterfeits was trans-nerolidol. The established category variable value model could successfully identify the authenticity of the commercially available DOL. The results of the OPLS-DA score plot showed that there were heartwood of Dalbergia pinnata and D. cochinchinensis in the commercially available DOL， and were consistent with the TLC verification results. ConclusionThere is a phenomenon that heartwood of D. pinnata and D. cochinchinensis are sold as DOL in the market. ¹H-NMR combined with multivariate statistical analysis can effectively distinguish DOL and its counterfeits， which can provide a reference for the identification of them.

Objective:To build the standardized knowledge base for hierarchical prevention care of neonatal hypoglycemia based on the risk prediction model of neonatal hypoglycemia, and to provide a decision-making basis for risk management to achieve predicitive neonatal hypoglycemia.Methods:Based on the best evidence summarized in strategies for the prevention and management of neonatal hypoglycemia published in 2020, evidence on the prevention and management of neonatal hypoglycemia was searched from BMJ Best Practice, UpToDate, Registered Nurses Association of Ontario, CNKI and other domestic and foreign databases and professional association websites. The retrieval period was from September 1, 2019 to August 31, 2022. The quality of newly included literature was evaluated, new evidence was extracted, and the best evidence in the prevention and management strategy of neonatal hypoglycemia published in 2020 was summarized and combined to form the first draft of the knowledge base. Experts in the field of neonatal nursing were invited to revise and discuss each item of the knowledge base, and the final draft of the knowledge base was formed. The final draft of the knowledge base was coded using the 2.5 version of the Clinical care classification system as the standardized language.Results:The risk prediction model of neonatal hypoglycemia was used as a grading tool, the final draft of the knowledge included 1 nursing diagnosis, 6 modules and 18 specific preventive nursing measures.Conclusions:The knowledge base for hierarchical prevention care of neonatal hypoglycemia based on risk prediction model can realize the prospective hierarchical nursing of neonatal hypoglycemia, which is scientific and practical, and is the basis to assist nurses to make clinical decisions.

Objective:To construct an evaluation index system for comprehensive budget management at public hospitals and conduct empirical research for reference in evaluation of comprehensive budget management at public hospitals.Methods:From May to June 2022, based on the Implementation Measures for the Comprehensive Budget Management System of Public Hospitals and its interpretations, literature analysis, and expert interviews, a preliminary evaluation index system was developed for comprehensive budget management of public hospitals. Then the Delphi method was applied for two rounds of expert consultation, with experts invited to evaluate the importance of indexes, while the analytic hierarchy process was used to calculate the weight values of indexes. Based on such a comprehensive budget management evaluation index system, a questionnaire was developed, and tertiary public hospitals were selected based on the principle of convenient sampling. Then a questionnaire survey was conducted from June to October 2022. The questionnaire was filled out by hospital level leaders(chief accountants), finance/audit leaders, and directors of finance/audit/operation management departments from the sample hospitals with professional knowledge and rich operational management experience in budget management. The comprehensive budget management level of the sample hospital was thus evaluated based on the survey results. Results:The comprehensive budget management evaluation index system for public hospitals was composed of 2 first-level indexes, 4 second-level indexes, and 20 third-level ones. The weights for the 2 first-level indexes of target building and management orientation were both 0.500, while the weights for the 4 second-level indexes, namely strategic implementation, comprehensive coverage, performance evaluation, and adaptation matching were all 0.250. Among the third-level indexes, the weights of budget execution, system improvement, system establishment, organizational construction, and revenue and expenditure business ranked top five, with weights of 0.070, 0.069, 0.066, 0.066, and 0.064, respectively. A total of 95 hospitals were selected for questionnaire survey, and the evaluation found 46 of them with a comprehensive budget management level of " excellent" and " good" , 27 with a " moderate" level, and 22 with a " poor" and " very poor" level. Scores of the third-level indexes were between 39-94 points, while the score of 6 third-level indexes were below 60 points, namely interconnection, budget analysis, compatibility and adaptation, system improvement, participation level, and assessment application.Conclusions:The evaluation index system for comprehensive budget management at public hospitals in this study proves rational and practical, serving as a reference for the evaluation of comprehensive budget management at public hospitals and related researches.

Light adaptation enables the vertebrate visual system to operate over a wide range of ambient illumination. Regulation of phototransduction in photoreceptors is considered a major mechanism underlying light adaptation. However, various types of neurons and glial cells exist in the retina, and whether and how all retinal cells interact to adapt to light/dark conditions at the cellular and molecular levels requires systematic investigation. Therefore, we utilized single-cell RNA sequencing to dissect retinal cell-type-specific transcriptomes during light/dark adaptation in mice. The results demonstrated that, in addition to photoreceptors, other retinal cell types also showed dynamic molecular changes and specifically enriched signaling pathways under light/dark adaptation. Importantly, Müller glial cells (MGs) were identified as hub cells for intercellular interactions, displaying complex cell‒cell communication with other retinal cells. Furthermore, light increased the transcription of the deiodinase Dio2 in MGs, which converted thyroxine (T4) to active triiodothyronine (T3). Subsequently, light increased T3 levels and regulated mitochondrial respiration in retinal cells in response to light conditions. As cones specifically express the thyroid hormone receptor Thrb, they responded to the increase in T3 by adjusting light responsiveness. Loss of the expression of Dio2 specifically in MGs decreased the light responsive ability of cones. These results suggest that retinal cells display global transcriptional changes under light/dark adaptation and that MGs coordinate intercellular communication during light/dark adaptation via thyroid hormone signaling.
Animals ; Mice ; Dark Adaptation ; Light ; Retina ; Retinal Cone Photoreceptor Cells/metabolism* ; Adaptation, Ocular ; Neuroglia/physiology* ; Cell Communication ; Thyroid Hormones

COVID-19 is caused by a novel coronavirus-severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2), which has being spreading around the world, posing a serious threat to human health and lives. Neutralizing antibodies and small molecule inhibitors for virus replication cycle are the main antiviral treatment for novel coronavirus recommended in China. To further promote the rational use of antiviral therapy in clinical practice, the National Center for Infectious Diseases (Beijing Ditan Hospital Capital Medical University and the First Affiliated Hospital, Zhejiang University School of Medicine) invited experts in fields of infectious diseases, respiratory and intensive care to develop an Expert Consensus on Antiviral Therapy of COVID-19 based on the Diagnosis and Treatment Guideline for COVID-19 ( trial version 10) and experiences in the diagnosis and treatment of COVID-19 in China. The consensus is concise, practical and highly operable, hopefully it would improve the understanding of antiviral therapy for clinicians and provide suggestions for standardized medication in treatment of COVID-19.