Non-alcoholic fatty liver disease （NAFLD） is one of the most prevalent forms of liver diseases globally. Its progression can lead to cirrhosis and end-stage liver disease， and there is currently a lack of effective pharmacological treatments. Adenosine monophosphate-activated protein kinase （AMPK）， as a regulatory hub for maintaining cellular energy homeostasis， can coordinate key cellular processes such as adipogenesis， glucose metabolism， and mitochondrial functions. Its activation exerts metabolic regulatory effects through pathways including inhibiting lipogenesis， enhancing mitochondrial β-oxidation， regulating inflammation and oxidative stress， and promoting autophagy. Accordingly， AMPK emerges as a potential target for the prevention and treatment of NAFLD. Traditional Chinese Medicine （TCM）， with low toxicity， high accessibility， and multi-component， multi-target synergistic effects， has demonstrated unique value in NAFLD treatment， particularly showing notable advantages in regulating the AMPK signaling pathway. Sichuan is known as the treasure house of TCM， and the active components of its authentic medicinal materials such as Coptidis Rhizoma not only reflect regional characteristics in AMPK signaling regulation but also form a multi-level metabolic regulatory network through crosstalk with pathways such as sirtuin 1 （SIRT1） and peroxisome proliferator-activated receptor α （PPARα）. They can achieve specific regulation by directly activating AMPK and modulating upstream and downstream targets， exerting prominent effects in ameliorating hepatic steatosis and inflammation. This study systematically reviews the research findings on TCM for the prevention and treatment of NAFLD over the past five years， elaborating the mechanisms by which TCM treats NAFLD through regulating the AMPK signaling pathway. It aims to provide new perspectives and references for clinical diagnosis and treatment， basic research， and drug development.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Objective To investigate the predictive performance of serum soluble CD40 ligand(sCD40L),interleukin-17(IL-17)and neutrophil extracellular traps(NETs)in combination for intracranial aneurysm rupture.Methods A total of 120 patients with intracranial aneurysms admitted from January 2022 to January 2025 were selected and divided into low-risk group and medium-high-risk group according to different rupture risks.After propensity score matching with 1:1 ratio and caliper matching(caliper=0.02),there were 60 patients in each group.The general data and serum levels of sCD40 L,IL-17 and NETs were compared between the two groups.Multivariate logistic regression analysis was used to analyze the risk factors of intracranial aneurysm rupture.The linear relationship between serum sCD40 L,IL-17,NETs and the risk of intracranial aneurysm rupture was analyzed by smoothing curve fitting.The receiver operating characteristic(ROC)curve,clinical impact curve(CIC)and clinical decision curve analysis(DCA)were used to evaluate the predictive performance of serum sCD40L,IL-17 and NETs for intracranial aneurysm rupture.Results The irregular shape of aneurysms,the proportion of the longest diameter of aneurysms≥7 mm and the levels of serum sCD40L,IL-17 and NETs in the low-risk group were lower than those in the medium-high-risk group(P<0.01).The shape of aneurysm,the longest diameter of aneurysm,sCD40L,IL-17 and NETs were the independent risk factors for intracranial aneurysm rupture(P<0.05).After adjusting for other covariates,serum sCD40L,IL-17 and NETs were positively correlated with the risk of intracranial aneurysm rupture(P<0.05).The ROC curve showed that the area under the curve of serum sCD40L,IL-17 and NETs in combination for predicting the risk of intracranial aneurysm rupture was the largest.The DCA and CIC showed that both the net benefit of the combined prediction model of serum sCD40L,IL-17 and NETs in predicting the risk of intracranial aneurysm rupture and the coincidence rate with the actual situation were relatively high.Conclusion The elevated levels of serum sCD40L,IL-17,and NETs in patients with intracranial aneurysms are associated with their rupture risk.The combination of the three indicators has a high predictive performance for the risk of intracranial aneurysm rupture.

Objective:To analyze the epidemiological characteristics and trends of preterm births in China using medical institution survey data, thereby providing epidemiological data support for perinatal care.Methods:Based on a nationwide sampling survey on healthcare quality data from 2017 to 2022, this study included 3 547, 4 436, 4 513, 4 535, 5 068, and 5 790 medical institutions, with 7 039 107, 8 926 441, 9 006 420, 7 051 984, 7 311 862, and 7 354 062 parturient women, respectively. The overall rates of preterm birth (live births at 28 to 36 +6 weeks of gestation/overall live births) and early preterm birth (live births at 28 to <34 weeks of gestation/overall live births) were calculated at the national level, across diverse provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, and for various levels of medical institutions. Generalized estimating equations were used to analyze the influence of maternal characteristics and medical institution characteristics on the rates of preterm birth and early preterm birth. Results:From 2017 to 2022, both the preterm birth rate and the early preterm birth rate in China showed a continuous increase. The preterm birth rate rose from 5.13% (363 036/7 079 454) in 2017 to 6.56% (487 150/7 424 734) in 2022, and the early preterm birth rate increased from 1.32% (118 021/8 971 870) in 2018 to 1.43% (106 157/7 424 734) in 2022. These rates showed an overall increasing trend in private, secondary public specialty, and general hospitals. In tertiary public specialty hospitals, these rates fluctuated around 8.0% and 2.0% from the year 2018, respectively, while in tertiary public general hospitals, these rates peaked in 2020 at 8.63% (205 570/2 381 523) and 2.19% (52 197/2 381 523), respectively. Compared with 2017, by 2022, the preterm birth rate had increased to varying degrees in all provinces, autonomous regions, municipalities and Xinjiang Production and Construction Corps, except for Henan Province [preterm birth rate in 2017 was 6.22% (27 173/437 187); preterm birth rate in 2022 was 5.83% (37 604/645 104)]. As for the early preterm birth rate, it showed a decline in Fujian, Guangdong, Guangxi, Hainan, Henan, Jiangsu, Shanghai, Xinjiang, Yunnan, and Zhejiang, but had increased to varying degrees in all other provinces , autonomous regions, municipalities and Xinjiang Production and Construction Corps across the country. The grade and location of medical institutions both had a significant impact on the preterm birth rate and early preterm birth rate (both P<0.05). For every 1% increase in the proportions of multiparous women, women of advanced maternal age, or twin pregnancies, the preterm birth rate increased by 0.014%, 0.042%, and 0.763%, and the early preterm birth rate increased by 0.004%, 0.013%, and 0.239%, respectively (all P<0.05). Conclusion:From 2017 to 2022, the preterm birth rate and early preterm birth rate in China have continued to rise, reflecting the dual challenges of changing characteristics in the childbearing population and the uneven distribution of medical and health resources faced by maternal and child healthcare in China.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

OBJECTIVE To explore the APOA5 gene polymorphisms,serum lipase(LPS),soluble programmed death ligand 1(sPD-L1)and procalcitonin(PCT)in the severe acute pancreatitis(SAP)patients with secondary infectious pancreatic necrosis(IPN).METHODS A total of 122 patients with SAP who were treated in the First Affiliated Hospital of Hebei North University from Jan.2020 to Nov.2023 were recruited as the research subjects and were divided into the secondary group with 31 cases and the non-secondary group with 91 cases according to the status of secondary IPN.The APOA5 gene polymorphisms were detected for the two groups of patients by means of polymerase chain reaction-restriction fragment length polymorphism(PCR-RFLP).The levels of LPS,sPD-L1 and PCT as well as Ranson score were compared between he two groups.The association of the serum LPS,sPD-L1 and PCT with Ranson score was observed by Spearman analysis.The value of the joint detection of LPS,sPD-L1 and PCT in diagnosis of secondary IPN in the SAP patients was analyzed by means of receiver oper-ating characteristic(ROC)curves.RESULTS The frequencies of AA genotype and A allele at rs619054 locus of APOA5 gene were higher in the secondary group than in the non-secondary group(P＜0.05),and the frequency of G allele of the secondary group was lower than that of the non-secondary group(P＜0.05).There were significant differences in the levels of serum LPS,sPD-L1 and PCT as well as Ranson score between the secondary group and the non-secondary group(P＜0.05).Spearman analysis showed that the Ranson score was positively correlated with the levels of serum LPS,sPD-L1 and PCT(r=0.738,0.701,0.721,P＜0.05).ROC curve analysis indicated that the area under the curve(AUC)of the joint detection of the three indexes was higher than that of the single detection in diagnosis of secondary IPN in the SAP patients(P＜0.05),with the sensitivity 90.30％,the specifici-ty 84.60％.CONCLUSIONS The SAP patients with secondary IPN show the high expressions of LPS,sPD-L1 and PCT.The joint detection of the indexes may facilitate the diagnosis of the secondary IPN in the SAP patients.There is association between the levels of LPS,sPD-L1 and PCT and the Ranson score.The rs619054 locus of APOA5 gene may be involved in pathogenesis of secondary IPN in the SAP patients.

The wide application of assisted reproductive technology (ART) has brought the hope of fertility to infertile couples worldwide. However, with the gradual popularization of ART, the long-term health status of ART children has attracted extensive attention from society. Adolescence is a critical developmental period for individuals to transition from childhood to adulthood, with significant physical and psychological changes, so the health status of ART offspring during this period has a profound impact on their overall future health. This article reviews the existing studies, focusing on the effects of ART on multiple aspects of adolescent health, especially growth and development, cardiovascular health, endocrine function, fertility, cancer risk, atopic diseases, mental health, epigenetic changes and other aspects. The possible mechanisms leading to these health problems, including genetic factors, environmental exposures, and the long-term effects of early life interventions, were explored. Future research should continue to explore the long-term effects of ART on the health of offspring and further clarify the mechanisms of these effects, so as to provide a scientific basis for the development of effective prevention and intervention measures.

Objective:To investigate the clinical and neonatal outcomes of nonobstructive azoospermia (NOA) patients undergoing a second microdissection testicular sperm extraction (microTESE) combined with intracytoplasmic sperm injection (ICSI).Methods:A retrospective self-controll study and a cohort study were conducted in 29 NOA patients who underwent the second microTESE-ICSI treatments at the Assisted Reproduction Center of Northwest Women's and Children's Hospital between October 2013 and December 2024, with successful sperm retrieval in the first microTESE for all included patients. The sperm retrieval rate (SRR), the two-pronuclei (2PN) rate, the high-quality embryo rate, the transferable embryo rate, the blastocyst formation rate, the pregnancy and neonatal outcomes between the two microTESE-ICSI cycles were analyzed. According to whether sperm was detected during the second microTESE, the patients were divided into detected sperm group ( n=22) and without detected sperm group ( n=7). The surgical interval, preoperative hormone levels, testicular volume, and patient pathological type were compared between the two groups. Patients who had achieved at least one biochemical pregnancy in the first cycle were classified as the pregnancy group, while those who had not achieved a biochemical pregnancy were classified as the non-pregnancy group, and the pregnancy outcomes of patients during the second microTESE-ICSI treatment were compared between the two groups. Previous surgical recordings were also analyzed. Results:The SRR of the second microTESE was 75.9% (22/29). There were no statistically significant differencs in surgical interval, preoperative hormones level, testicular volume, and patient pathological type between detected sperm group and without detected group during the second examination (all P>0.05). SRR showed no difference between idiopathic and non-idiopathic NOA ( P>0.05). 2PN rate, high-quality embryo rate, transferable embryo rate, blastocyst formation rate did not differ statistically between the two cycles (all P>0.05). Among patients completing follow-up in the second microTESE-ICSI cycle, cumulative pregnancy and live birth rates after all embryos transfer were 52.4% (11/21) and 42.9% (9/21), respectively. Further analysis revealed that patients in pregnancy group [75.0% (6/8)] had significantly higher cumulative live birth rate than that in non-pregnancy group [23.1% (3/13), P=0.032] in the second cycle. No birth defects were observed in neonates. Surgical video review suggested that excessive microdissection and low-magnification electrocautery hemostasis might increase intratesticular scarring. Conclusion:For NOA patients with failed initial microTESE-ICSI, the second treatment can effectively retrieve sperm and achieve favorable pregnancy and neonatal outcomes. Patients with prior biochemical pregnancy may benefit from higher live birth rate in subsequent cycles.

Artificial intelligence(AI)has emerged as a cutting-edge technology leading the future and is a key engine for China's development.In the innovation and research of medical devices,AI has provided critical support in the areas of intelligent diagnostic assistance,intelligent therapeutic assis-tance,intelligent monitoring,life support,et al.Ma-chine learning-enabled device software functions(ML-DSFs)have become an essential component of many medical devices.Recently,the United States Food and Drug Administration(FDA)released a draft guidance titled"Marketing Submission Rec-ommendations for a Predetermined Change Con-trol Plan for Artificial Intelligence/Machine Learn-ing(AI/ML)-Enabled Device Software Functions(Draft)."that aimed to provide a forward-looking approach to foster the development of ML medical devices.By supporting iterative updates through modifications,this approach ensures the continu-ous safety and effectiveness of the devices.This guidance represents the latest in regulatory direc-tion and is especially beneficial for enhancing the quality and efficiency of clinical trials for AI prod-ucts.Therefore,we plan to provide a detailed intro-duction and interpretation of the guidance,with the aim of learning from international advanced regulatory concepts and experiences to promote the development of ML-DSFs with more profound international influence.

Objective To identify risk factors for colorectal adenomatous polyps using logistic regression analysis,construct a prediction model based on these identified factors,and subsequently evaluate the performance of the model.Methods Encompassed 1,023 patients who underwent large intestine polyp resection at the First Hospital of Handan between January 2017 and January 2022.Among these patients,676 had adenomatous polyps(adenomatous polyp group)and 347 had non-adenomatous polyps(non-adenomatous polyp group).We collected data on basic information,medical history,colonoscopy results,and polyp pathology.By comparing the two groups,we identified significant differences in various indicators,which were selected as candidate factors for model construction.Patients were randomly divided into a training set and a validation set at an 8∶2 ratio.Using the training set data,we constructed a risk prediction model and developed a nomogram using R Studio software to visually present the model.Finally,we internally validated the model using the validation set.The model's discrimination ability was evaluated using the ROC curve,its accuracy was assessed via the calibration curve,and its clinical utility was evaluated through decision curve analysis(DCA).Results Significant differences were observed between the two groups in terms of age,drinking habits,family history of colorectal cancer,hyperlipid-emia,history of cholecystectomy,HP infection,and history of appendectomy(P<0.05).These variables were included in the model construction.A total of 818 participants were randomly assigned to the training set,while 205 were allocated to the validation set.Multivariate logistic regression analysis on the training set confirmed that age(OR=1.021,95%CI:1.006～1.036,P=0.006),alcohol consumption(OR=3.440,95%CI:2.251～5.257,P<0.001),first-degree relatives with colorectal cancer(OR=3.775,95%CI:1.881～7.577,P<0.001),hyperlipidemia(OR=3.428,95%CI:2.443～4.808,P<0.001),history of cholecystectomy(OR=3.916,95%CI:1.756～8.735,P<0.001),Helicobacter pylori(HP)infection(OR=3.292,95%CI:2.309～4.693,P<0.001),and history of appendectomy(OR=3.819,95%CI:2.002～7.286,P<0.001)were independent risk factors for adenomatous polyps.Consequently,a prediction model for large intestine adenomatous polyps was developed using the formula P=1/(1+e-Y),where Y=0.020×age+1.328×first-degree relatives with colorectal cancer+1.235×alcohol consumption+1.232×hyperlipidemia+1.365×cholecystectomy+1.192×HP infection+1.340×appendectomy-1.995.The model demonstrated good performance with AUC values of 0.763(95%CI:0.729～0.797)for the training set and 0.769(95%CI:0.644～0.787)for the validation set.The calibration curve indicated a good fit,and decision curve analysis showed that the model could achieve positive net benefit across a wide range of threshold probabilities,confirming its clinical utility.Conclusions Age,alcohol consumption,a family history of colorectal cancer in first-degree relatives,hyperlipidemia,cholecystectomy,HP infection,and appendectomy were identified as independent risk factors for adenomatous polyps.A prediction model incorporating these risk factors holds significant practical value for predicting the occurrence of colorectal adenomatous polyps.