This paper aimed to systematically evaluate the effects of hypoxic training at different fraction of inspired oxygen (FiO₂) on body composition, glucose metabolism, and lipid metabolism in obese individuals, and to determine the optimal oxygen concentration range to provide scientific evidence for personalized and precise hypoxic exercise prescriptions. A systematic search was conducted in the Cochrane Library, PubMed, Web of Science, Embase, and CNKI databases for randomized controlled trials and pre-post intervention studies published up to March 31, 2025, involving hypoxic training interventions in obese populations. Meta-analysis was performed using RevMan 5.4 software to assess the effects of different fraction of inspired oxygen (FiO₂≤14% vs. FiO₂>14%) on BMI, body fat percentage, waist circumference, fasting blood glucose, insulin, HOMA-IR, triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and high-density lipoprotein cholesterol (HDL-C), with subgroup analyses based on oxygen concentration. A total of 22 studies involving 292 participants were included. Meta-analysis showed that hypoxic training significantly reduced BMI (mean difference (MD)=-2.29,95%CI: -3.42 to -1.17, P<0.000 1), body fat percentage (MD=-2.32, 95%CI: -3.16 to -1.47, P<0.001), waist circumference (MD=-3.79, 95%CI: -6.73 to -0.85, P=0.01), fasting blood glucose (MD=-3.58, 95%CI: -6.23 to -0.93, P=0.008), insulin (MD=-1.60, 95%CI: -2.98 to -0.22, P=0.02), TG (MD=-0.18, 95%CI: -0.25 to -0.12, P<0.001), and LDL-C (MD=-0.25, 95%CI: -0.39 to -0.11, P=0.000 3). Greater improvements were observed under moderate hypoxic conditions with FiO₂>14%. Changes in HOMA-IR (MD=-0.74, 95%CI: -1.52 to 0.04,P=0.06) and HDL-C (MD=-0.09, 95%CI: -0.21 to 0.02, P=0.11) were not statistically significant. Hypoxic training can significantly improve body composition, glucose metabolism, and lipid metabolism indicators in obese individuals, with greater benefits observed under moderate hypoxia (FiO>14%). As a key parameter in hypoxic exercise interventions, the precise setting of oxygen concentration is crucial for optimizing intervention outcomes.

With the increasing prevalence of overweight and obesity among children and adolescents in China, pediatric metabolic syndrome has emerged as a significant public health challenge. The Developmental Origins of Health and Disease (DOHaD) theory underscores the critical influence of early environmental factors on lifelong metabolic health. Consequently, maternal nutritional status and physical activity during pregnancy have become key modifiable factors that have attracted considerable attention in recent years. Research indicates exposure to a maternal high-fat diet (HFD) during pregnancy has long-term effects on offspring health, which may be transmitted through placental transit disorder, inflammation, and oxidative stress. Similarly, a high-protein diet (HPD) during pregnancy exhibits a dose- and time-dependent biphasic effect: excessive intake may lead to fetal growth restriction and an increased risk of preterm birth, whereas moderate supplementation may instead reduce the susceptibility of offspring to obesity. Interestingly, caloric restriction (CR) during pregnancy presents a double-edged sword: while it may impair the development of metabolic organs in offspring, moderate CR in metabolically compromised mothers can ameliorate maternal metabolic dysfunction and reprogram oocyte DNA methylation, significantly lowering the risk of metabolic disorders in offspring. Notably, metabolic abnormalities induced by a low-protein diet (LPD) during pregnancy demonstrate lifecycle-accumulative effects and transgenerational inheritance, with offspring exhibiting obesity phenotypes during weaning, insulin resistance in adulthood, and hepatic decompensation in old age, mediated through oocyte epigenetic reprogramming. Additionally, maintaining an optimal micronutrient balance is crucial for the metabolic homeostasis of offspring, as both deficiency and excess can lead to detrimental outcomes. Maternal exercise has been established as a safe and effective non-pharmacological intervention that confers multigenerational metabolic benefits through diverse biological pathways. Maternal metabolic dysregulation represents a critical determinant of offspring metabolic disorders. Regular exercise during gestation exerts protective effects by attenuating maternal systemic inflammation and reducing the incidence of pregnancy-related complications, thereby effectively mitigating fetal overgrowth and metabolic dysfunction. This dual benefit for both mother and offspring underscores the pivotal role of gestational physical activity in promoting long-term metabolic health. The placenta, serving as the exclusive interface for maternal-fetal communication, mediates exercise-induced metabolic programming through enhanced secretion of key regulatory factors (including SOD3, Apelin, ADPN, and Irisin) and promotes the development of vascular networks, collectively optimizing nutrient transport efficiency. The intrauterine period represents a crucial window for epigenetic reprogramming, during which maternal exercise modulates DNA methylation patterns of critical metabolic genes (e.g., Ppargc-1α, Prdm16, Klf4, and Slc23a2) in offspring, thereby enhancing their capacity to resist metabolic disorders. Notably, the regulatory effects of maternal exercise extend beyond the gestational period. Postnatally, exercise-induced modifications in the bioactive components of breast milk and gut microbiota composition contribute to the sustained maintenance of metabolic homeostasis in offspring, establishing a continuum of metabolic protection from prenatal to postnatal stages. This review explores the potential of maternal combined nutrition-exercise interventions, suggesting that such strategies may synergistically enhance transgenerational health benefits through interactions within the metabolic-epigenetic network, thereby outperforming single interventions. Additionally, it examines current research limitations, including controversies surrounding transgenerational mechanisms, sex-specific responses, and undefined dynamic thresholds, while providing directions for future investigations. These findings pave the way for a theoretical foundation for early-life health interventions, potentially offering a more effective strategy for combatting intergenerational metabolic disorders.

ObjectiveTo explore the regulatory effects and mechanisms of Astragali Radix polysaccharide （APS） on inhibitor of differentiation1 （ID1） and protein kinase B （Akt） in gastric cancer. MethodsImmunohistochemical staining was used to detect the expression of ID1 and Akt in 61 gastric cancer tissue samples and 20 adjacent normal gastric tissue samples. Immunofluorescence was used to detect the localization of ID1 and Akt. The effects of APS at the concentrations of 0.625， 1.25， 2.5， 5， 10， 20 mg·L^-1 on the proliferation of gastric cancer MGC-803 cells were examined by the cell counting kit-8（CCK-8） method and the colony formation assay. The target information of APS was retrieved from the Traditional Chinese Medicine Systems Pharmacology and Analysis Platform and Swiss Target Prediction. Keywords such as gastric cancer， gastric tumor， and stomach cancer were searched against GeneCards， UniProt， DisGeNET， and Online Mendelian Inheritance in Man （OMIM） for the screening of gastric cancer-related targets. The online tool jvenn was used to create the Venn diagram to identify the common targets， and STRING and Cytoscape were used to construct the protein-protein interaction network. Gene Ontology （GO） and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analyses were conducted via R 4.2.2 to predict the potential roles of APS in the development of gastric cancer. The cell scratch assay was employed to assess the effect of APS on the migration of MGC-803 cells. The protein and mRNA levels of ID1 and Akt in the cells treated with APS were determined by Western blot and Real-time PCR， respectively. ResultsCompared with the adjacent normal gastric tissue， the gastric adenocarcinoma tissue showed increased positive expression of ID1 （χ² =81.00， P<0.01）. Immunofluorescence detection showed that ID1 and Akt were mainly located in the cytoplasm of gastric adenocarcinoma cells. Bioinformatics analysis identified 14 common genes shared between APS and gastric cancer. The average degree of protein-protein interaction network nodes was 14.29. GO and KEGG pathway enrichment results showed that ID1 and Akt were significantly enriched in the Rap1 and phosphatidylinositol-3-kinase （PI3K） /Akt signaling pathways. Cell experiments demonstrated that 5-fluorouracil （0.1 mg·L^-1） and APS （10， 20 mg·L^-1） groups showed decreased cell proliferation， migration， and colony formation. Compared with the control group， 10， 20 mg·L^-1 APS inhibited the proliferation of MGC-803 cells （P<0.01）， with 10 mg·L^-1 APS demonstrating stronger inhibitory effect. In addition， APS at 10， 20 mg·L^-1 inhibited the migration （P<0.01） and colony formation （P<0.05， P<0.01） of MGC-803 cells. Compared with the control group， APS at 10， 20 mg·L^-1 down-regulated the protein levels of ID1 （P<0.01） and Akt （P<0.05） and the mRNA levels of ID1 （P<0.05， P<0.01） and Akt （P<0.05， P<0.01） in MGC-803 cells. ConclusionID1 and Akt are highly expressed in the gastric adenocarcinoma tissue， which may be related to the development of gastric cancer. APS can down-regulate the protein and mRNA levels of ID1 and Akt to exert anti-tumor effects， which is expected to provide new therapeutic targets for gastric cancer treatment.

Objective To explore the application of plasma 7 microRNA (miR7) testing in the differential diagnosis of very early-stage hepatocellular carcinoma (HCC). Methods This study is a multicenter real-world study. Patients with single hepatic lesion (maximum diameter≤2 cm) who underwent plasma miR7 testing at Zhongshan Hospital, Fudan University, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Anhui Provincial Hospital, and Peking University People’s Hospital between January 2019 and December 2024 were retrospectively enrolled. Patients were divided into very early-stage HCC group and non-HCC group, and the clinical pathological characteristics of the two groups were compared. The value of plasma miR7 levels, alpha-fetoprotein (AFP), and des-gamma-carboxy prothrombin (DCP) in the differential diagnosis of very early-stage HCC was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). In patients with both negative AFP and DCP (AFP＜20 ng/mL, DCP＜40 mAU/mL), the diagnostic value of plasma miR7 for very early-stage HCC was analyzed. Results A total of 64 528 patients from 4 hospitals underwent miR7 testing, and 1 682 were finally included, of which 1 073 were diagnosed with very early-stage HCC and 609 were diagnosed with non-HCC. The positive rate of miR7 in HCC patients was significantly higher than that in non-HCC patients (67.9% vs 24.3%, P＜0.001). ROC curves showed that the AUCs for miR7, AFP, and DCP in distinguishing HCC patients from the non-HCC individuals were 0.718, 0.682, and 0.642, respectively. The sensitivities were 67.85%, 43.71%, and 44.45%, and the specificities were 75.70%, 92.78%, and 83.91%, respectively. The pairwise comparison of AUCs showed that the diagnostic efficacy of plasma miR7 detection was significantly better than that of AFP or DCP (P＜0.05). Although its specificity was slightly lower than AFP and DCP, the sensitivity was significantly higher. Among patients negative for both AFP and DCP, miR7 maintained an AUC of 0.728 for diagnosing very early-stage HCC, with 67.82% sensitivity and 77.73% specificity. Conclusions Plasma miR7 testing is a potential molecular marker with high sensitivity and specificity for the differential diagnosis of small hepatic nodules. In patients with very early-stage HCC lacking effective molecular markers (negative for both AFP and DCP), miR7 can serve as a novel and effective molecular marker to assist diagnosis.

Bronchial asthma （asthma） is a heterogeneous disease characterized by airflow limitation， airway remodeling， and recurrent symptoms such as wheezing， shortness of breath， chest tightness， and cough. Its prevalence is gradually increasing， and a portion of patients are still poorly controlled， leading to a serious social and medical burden. Modern studies have proposed the concept of the "lung-gut axis"， which is based on the crosstalk between microorganisms and their metabolites in the lungs and large intestine， and have indicated that microbial dysbiosis in these organs may affect the onset and progression of asthma. Traditional Chinese medicine （TCM） has found the phenomenon of lung-intestinal comorbidity and put forward the importance of "lung-intestinal coordination therapy" in the treatment of lung-related diseases. It has been found that intestinal flora and their metabolites can modulate immune responses through the lung-gut axis， demonstrating great potential for predicting asthma susceptibility， anticipating phenotypes， assessing asthma severity， and guiding treatment. TCM comopunds that embody lung-intestinal coordination therapy， including herbal formulas， single herbs， acupuncture， moxibustion， acupoint application， and spinal pinching therapy， has been shown to regulate intestinal flora， improve metabolism， regulate immunity， alleviate lung inflammation， reduce mucus secretion， inhibit airway remodeling， effectively alleviate symptoms， and delay lung function decline. Based on "lung-intestinal coordination therapy"， this paper used intestinal flora as the entry point to summarize the underlying mechanisms of TCM in asthma treatment and highlighted the pivotal role of intestinal flora in asthma， providing a new idea for its clinical treatment through the intestinal flora .

ObjectiveTo analyze the epidemiological characteristics of influenza virus in severe acute respiratory tract infection (SARI) cases in Jingzhou City, so as to provide a scientific basis for the formulation of influenza prevention and control policies in Jingzhou City. MethodsSARI surveillance was carried out in two sentinel hospitals in Jingzhou City from 2018 to 2023. Respiratory tract samples were collected from cases and influenza virus nucleic acid was measured using real-time fluorescent polymerase chain reaction (RT-PCR). ResultsA total of 2 603 SARI samples were tested from 2018 to 2023, and 338 samples were positive for influenza virus nucleic acid, with a detection rate of 12.99%. The highest positive detection rate was 20.22% in 2019, followed by 14.29% in 2022, and the lowest detection rate was 7.75% in 2020. There were significant differences for the positive detection rates of influenza in each monitoring year (χ²=30.386, P<0.001). There were epidemic peaks in the five surveillance years from 2018 to 2023 except 2020. There were winter epidemic peaks during 2018‒2019 and 2021‒2022, and an obvious summer epidemic peak was also observed from 2019 to 2022. H1N1, H3N2, B-Victoria and B-Yamagata were alternately prevalent in the six surveillance years. In 2019, H1N1, H3N2 and B-Victoria were alternately prevalent with time progress, in 2021 only B-Victoria was prevalent, and in 2022 H3N2 and B-Victoria were prevalent. There was no statistically significant difference for the positive detection rates of influenza virus between different genders (χ²=0.178, P=0.673). Among the four age groups, the positive rate of influenza virus in the age group of 15‒<25 years old was the highest (40.91%), followed by the age group of 25‒<60 years old (21.31%). There were statistically significant differences for the positive rates of influenza virus among different age groups (χ²=24.496, P<0.001). ConclusionThe surveillance of SARI cases in Jingzhou City could serve as an effective supplement to the surveillance of ILI in sentinel hospitals. It is suggested to expand the surveillance scope, strengthen public education and outreach on the prevention and control of respiratory diseases, thereby providing a scientific basis for influenza prevention and control.

ObjectiveINF2 is a member of the formins family. Abnormal expression and regulation of INF2 have been associated with the progression of various tumors, but the expression and role of INF2 in hepatocellular carcinoma (HCC) remain unclear. HCC is a highly lethal malignant tumor. Given the limitations of traditional treatments, this study explored the expression level, clinical value and potential mechanism of INF2 in HCC in order to seek new therapeutic targets. MethodsIn this study, we used public databases to analyze the expression of INF2 in pan-cancer and HCC, as well as the impact of INF2 expression levels on HCC prognosis. Quantitative real time polymerase chain reaction (RT-qPCR), Western blot, and immunohistochemistry were used to detect the expression level of INF2 in liver cancer cells and human HCC tissues. The correlation between INF2 expression and clinical pathological features was analyzed using public databases and clinical data of human HCC samples. Subsequently, the effects of INF2 expression on the biological function and Drp1 phosphorylation of liver cancer cells were elucidated through in vitro and in vivo experiments. Finally, the predictive value and potential mechanism of INF2 in HCC were further analyzed through database and immunohistochemical experiments. ResultsINF2 is aberrantly high expression in HCC samples and the high expression of INF2 is correlated with overall survival, liver cirrhosis and pathological differentiation of HCC patients. The expression level of INF2 has certain diagnostic value in predicting the prognosis and pathological differentiation of HCC. In vivo and in vitro HCC models, upregulated expression of INF2 triggers the proliferation and migration of the HCC cell, while knockdown of INF2 could counteract this effect. INF2 in liver cancer cells may affect mitochondrial division by inducing Drp1 phosphorylation and mediate immune escape by up-regulating PD-L1 expression, thus promoting tumor progression. ConclusionINF2 is highly expressed in HCC and is associated with poor prognosis. High expression of INF2 may promote HCC progression by inducing Drp1 phosphorylation and up-regulation of PD-L1 expression, and targeting INF2 may be beneficial for HCC patients with high expression of INF2.

Medical artificial intelligence （AI） is a new type of application formed by the combination of machine learning， computer vision， natural language processing， and other technologies with clinical medical treatment. With the continuous iteration and development of relevant technologies， medical AI has shown great potential in improving the efficiency of diagnosis and treatment， and service quality， but it also increases the possibility of triggering ethical issues. Ethical issues resulting from the clinical application of medical AI were analyzed， including the lack of algorithmic interpretability and transparency of medical AI， leading to information asymmetry and cognitive discrepancies； the concerning status of security and privacy protection of medical data； and the complex and unclear division of responsibilities due to the collaborative participation of multiple subjects in the clinical application of medical AI， resulting in increased difficulty in the identification of medical accidents and clarification of responsibilities. The paper proposed the principles of not harming patients’ interests， physician’s subjectivity， fairness and inclusiveness， and rapid response. It also explored the strategies and implementation paths for responding to the ethical issues of medical AI from multiple perspectives， including standardizing the environment and processes， clarifying responsibility attribution， continuously assessing the impact of data protection， guaranteeing data security， ensuring model transparency and interpretability， carrying out multi-subject collaboration， as well as the principles of being driven by ethical values and adhering to the “human health-centeredness.” It aimed to provide guidance for the healthy development of medical AI， ensuring technological progress while effectively managing and mitigating accompanying ethical risks， thereby promoting the benign development of medical AI technology and better serving the healthcare industry and patients.

Objective: To analyze the change trends in the body shape indicators and proportions of students in Harbin from 2010 to 2024, and to investigate ergonomic compatibility of functional dimensions of school desks and chairs with current student shape indicators, so as to provide a reference for revising furniture standards of desks and chairs. Methods: Between September and November of both 2010 and 2024, a combination of convenience sampling and stratified cluster random sampling was conducted across three districts in Harbin, yielding samples of 6 590 and 6 252 students, respectively. Anthropometric shape indicators cluding height, sitting height, crus length, and thigh length-and their proportional changes were compared over the 15-year period. The 2024 data were compared with current standard functional dimensions of school furniture. The statistical analysis incorporated t-test and Mann-Whitney U- test. Results: From 2010 to 2024, average height increased by 1.8 cm for boys and 1.5 cm for girls; sitting height increased by 1.5 cm for both genders; crus length increased by 0.3 cm for boys and 0.4 cm for girls; and thigh length increased by 0.5 cm for both genders. The ratios of sitting height to height, and sitting height to leg length increased by less than 0.1 . The difference between desk chair height and 1/3 sitting height ranged from 0.4-0.8 cm. Among students matched with size 0 desks and chairs, 22.0% had a desk to chair height difference less than 0, indicating that the desk to chair height difference might be insufficient for taller students. The differences between seat height and fibular height ranged from -1.4 to 1.1 cm; and the differences between seat depth and buttock popliteal length ranged from -9.8 to 3.4 cm. Among obese students, the differences between seat width and 1/2 hip circumference ranged from -20.5 to -8.7 cm, while it ranged from -12.2 to -3.8 cm among non obese students. Conclusion Current furniture standards basically satisfy hygienic requirements; however, in the case of exceptionally tall and obese students, ergonomic accommodations such as adaptive seating allocation or personalized adjustments are recommended to meet hygienic requirements.

Biomolecular condensates are formed through phase separation of biomacromolecules such as proteins and RNAs. These condensates exhibit liquid-like properties that can futher transition into more stable material states. They form complex internal structures via multivalent weak interactions, enabling precise spatiotemporal regulations. However, the use of inconsistent and non-standardized terminology has become increasingly problematic, hindering academic exchange and the dissemination of scientific knowledge. Therefore, it is necessary to discuss the terminology related to biomolecular condensates in order to clarify concepts, promote interdisciplinary cooperation, enhance research efficiency, and support the healthy development of this field.