Objective: To investigate the association of physical activity and screen time with overweight and obesity among children and adolescents with special needs in Tianjin, so as to provide scientific evidence for childhood obesity prevention and intervention measures in the population. Methods: From January 2022 to June 2024, 296 children and adolescents with intellectual disabilities and autism spectrum disorders aged 2-18 years were recruited from special education schools and institutions in Tianjin. Height and weight were measured, and a standardized questionnaire was used to assess physical activity and screen time. Binary Logistic regression analysis was carried out to investigate the association of physical activity and screen time with overweight and obesity. Results: The prevalence of overweight and obesity among children and adolescents with special needs in Tianjin were 17.2% and 21.6%, respectively, and the combined prevalence of overweight and obesity was 38.9%. The median of moderatetovigorous physical activity (MVPA) time was 0.20 h/d, and physical activity sufficiency rate was 7.8%. The median of screen time was 1.79 h/d, and the screen time compliance rate was 68.2%. The binary Logistic regression results showed that lower levels of MVPA time and increased screen time were associated with a higher risk of overweight and obesity among children and adolescents with special needs [OR(95%CI)=1.80(1.06-3.07), 2.40(1.42-4.07),P<0.05]. Conclusions Insufficient physical activity and excessive screen time are associated with an increased risk of overweight and obesity among children and adolescents with special needs. Therefore, comprehensive intervention measures should be implemented as early as possible to prevent and reduce the incidence of overweight and obesity in this population.

ObjectiveTo investigate the expression level of lysophosphatidyllecithin acyltransferase 4 （LPCAT4） in pancreatic cancer and its effect on the proliferation of pancreatic cancer cells. MethodsIn this study， the differentially expressed genes of patients with KRAS mutant and wild-type pancreatic cancer were analyzed by online database LinkedOmics. The LPCAT4 expression in pancreatic cancer tissues was analyzed online by the University of Alabama at Birmingham Cancer Data Analysis （UALCAN）， Sangerbox and gene expression profile interaction analysis 2 （GEPIA2）. Kaplan-Meier Plotter database was used to explore the correlation between LPCAT4 and the prognosis of patients with pancreatic cancer. The expression of LPCAT4 in human pancreatic cancer cells were detected by quantitative real-time PCR and Western blot analysis. LPCAT4 was knocked down in the high-expressing SW1990 cell line and overexpressed in the low-expressing MIA PaCa-2 cell line. The effects of LPCAT4 expression on cell proliferation were assessed using CCK-8 and EdU assays. STRING and GEPIA2 databases were used to obtain LPCAT4 binding and coexpressed genes in tumors， which were then analyzed by GO and KEGG. ResultsAnalysis of the LinkedOmics online database revealed a significant upregulation of LPCAT4 in patients with KRAS mutant pancreatic cancer compared to patients with KRAS wild-type pancreatic cancer. The online analysis of GEPIA2， UALCAN and Sangerbox 3.0 showed that the expression of LPCAT4 was higher in pancreatic cancer than in normal tissues. Analysis of the Kaplan-Meier Plotter database revealed that high LPCAT4 expression was associated with poorer prognosis in pancreatic cancer patients.Western blot and qPCR results showed that expression of LPCAT4 in pancreatic cancer cell lines was significantly higher than in normal pancreatic ductal epithelial cells. Knockdown of LPCAT4 in SW1990 cells inhibited proliferation， while overexpression in MIA PaCa-2 cells promoted proliferation. Enrichment analysis indicated that LPCAT4 was closely related to sulfur metabolism. ConclusionsLPCAT4 is highly expressed in pancreatic cancer and is associated with poor prognosis of patients. It plays a significant regulatory role in the proliferation of pancreatic cancer cells， with its expression level closely correlated with cell proliferation capacity. These findings reveal the critical role of LPCAT4 in the malignant progression of pancreatic cancer and provide important evidence for its potential as a therapeutic target.

Objective To evaluate the effect of donor gender on short-term survival rate of lung transplant recipients. Methods A retrospective analysis was conducted on the data of 1 066 lung transplant recipients. The log-rank test was used to evaluate the differences in short-term fatality among different donor gender groups and donor-recipient gender combination groups. Multivariate Cox regression, propensity score (PS) regression, and propensity score matching (PSM) were employed to control for confounding factors and further assess the differences in fatality. Subgroup analyses were also performed based on donor gender. Results Multivariate Cox regression analysis showed no statistically significant differences in fatality at 30 days, 1 year, 2 years and 3 years postoperatively between male and female donor groups (all P>0.05). After PS regression and PSM, univariate Cox regression analysis indicated that recipients from female donors had a higher fatality at 2 years postoperatively compared to those from male donors, with hazard ratios (95% confidence intervals) of 1.29 (1.01-1.65) and 1.36 (1.03-1.80) respectively. Multivariate Cox regression analysis also revealed no statistically significant differences in fatality at various follow-up time points among different donor-recipient gender combination groups (all P>0.05). Subgroup analyses based on donor sex showed no statistically significant differences in fatality among recipients of different gender within either male or female donor groups (all P>0.05). Conclusions Female donors may reduce the short-term postoperative survival rate of lung transplant recipients, but this negative impact is not sustainable in the long term. At present, there is no evidence to support the inclusion of sex as a factor in lung allocation rules.

OBJECTIVE To investigate ameliorative effects and mechanisms of two probiotics （Bacillus subtilis， Lactobacillus acidophilus） combined with Aurantii Fructus Immaturus （AFI） on functional dyspepsia （FD） in rats. METHODS Rats were randomly divided into blank group， model group， positive control group （domperidone group， 2.7 mg/kg）， AFI group （9 g/kg）， L. acidophilus group （5×107 cfu/kg）， B. subtilis group （5×107 cfu/kg）， L. acidophilus+ AFI group （L. acidophilus 5×107 cfu/kg+ AFI 9 g/kg）， and B. subtilis+AFI group （B. subtilis 5×107 cfu/kg+AFI 9 g/kg）， with 8 rats in each group. Except for the blank group， FD model was established by tail-clamping stimulation+hunger and satiety disorder+swimming exhaustion in other groups. After modeling， each group was given the corresponding drug/probiotic suspensions/physiological saline intragastrically， once a day， for 14 consecutive days. After the last medication， gastric emptying rate and the rate of propulsion of the small intestine in rats were measured； the levels of brain-gut peptide-related indicators [gastrin （GAS）， substance P （SP）， vasoactive intestinal peptide （VIP）， somatostatin （SS） and cholecystokinin （CCK）] in the serum of rats were measured. The pathological morphology of the gastric antrum tissue and duodenal tissue was observed. Cecal contents from the rats were collected for gut microbiota sequencing analysis. The protein expression levels of tyrosine kinase receptor c-Kit and stem cell factor （SCF） in the gastric antrum tissue， as well as Toll-like receptor 4 （TLR4）， myeloid differentiation factor 88 （MyD88）， and nuclear factor κB （NF-κB） in the duodenal tissue of the rats were detected. RESULTS Compared with the blank group， model group showed significantly lower gastric emptying rate， small intestinal propulsion rate， serum levels of GAS and SP， relative abundance of Firmicutes， Ace， Chao and Sobs indexes of the gut microbiota， and protein levels of SCF and c-Kit in gastric antrum （P＜0.05）， while serum levels of VIP， SS and CCK， relative abundance of Bacteroidetes， as well as protein expressions of TLR4， MyD88， and NF-κB， were significantly higher （P＜0.05）. The histological structure JZYC23S53） of the gastric antrum tissue appeared basically normal； however， abnormalities were observed in the duodenal structure， with a significant infiltration of inflammatory cells visible. Compared with the model group， all treatment groups significantly modulated most of the above indexes （P＜0.05）. The histological structure of the gastric antrum tissue was normal. Except for the B. subtilis group and the B. subtilis+AFI group， the pathological states of the duodenum in the remaining rats gradually recovered. Compared with each single drug group， most of above indexes in rats from each combination group showed further improvement （P＜0.05）. CONCLUSIONS The combination of AFI with two probiotics can improve gastrointestinal motility in FD rats， and the effect is superior to that of using the drugs alone. The specific underlying mechanisms may be related to the activation of the SCF/c-Kit signaling pathway and the inhibition of the TLR4/MyD88/NF-κB signaling pathway.

ObjectiveTo investigate the potential mechanism of the Jianpi Yishen Huatan Formula （健脾益肾化痰方，JPYSHF） in treating squamous cell lung cancer through the LncRNA ALAL-1/USP4/HDAC2 signaling pathway. MethodsForty Sprague-Dawley （SD） rats were randomly divided into a control group and high-， medium-， and low-dose JPYSHF group with 10 rats in each group. Rats in the JPYSHF groups were administered JPYSHF concentrated liquid at doses of 45， 30， and 15 g/（kg·d） via intragastric gavage， respectively， while the control group received 10 ml/（kg·d） of normal saline， once daily for 10 consecutive days before preparation of drug containing serum. Human lung squamous carcinoma SK-MES-1 cells were divided into a control group and low-， medium-， and high-dose JPYSHF-medicated serum groups. The control group was cultured with 10% saline-containing serum， while the JPYSHF groups were cultured with 10% low-， medium-， or high-dose medicated serum. After 48 hours of incubation， flow cytometry was used to detect apoptosis rates， and a cell scratch assay was performed to evaluate migration areas at 0 h and 24 h to calculate migration rate. Additional SK-MES-1 cells were divided into control serum， JPYSHF-medicated serum （low-， medium-， high-） dose， LncRNA-silenced group （transfected with ALAL-1 siRNA）， USP4-inhibited group （treated with 35 μmol/L PR-619， a deubiquitinase inhibitor）， and HDAC2-inhibited group （treated with 60 μmol/L Vorinostat）. After 24 and 48 hours of culture， cell viability was assessed using the CCK-8 assay； LncRNA ALAL-1， USP4， and HDAC2 mRNA levels were quantified by qPCR after 24 hours； USP4 and HDAC2 protein levels were measured by Western Blot after 48 hours. ResultsCompared with the control serum group， the total apoptosis rate of cells in middle- and high-JPYSHF-medicated serum group significantly increased， and the cell migration rate of cells in the low-， middle- and high-JPYSHF-medicated serum group significantly decreased （P＜0.05 or P＜0.01）. The cell migration rate of the low-， medium- and high-JPYSHF-medicated serum groups decreased with the increase of concentration in a concentration-dependent manner （P＜0.05 or P＜0.01）. Compared with the control serum group at the same time， the cell viability at 24 h and 48 h significantly decreased in all groups （P＜0.05 or P＜0.01）. Compared with the low-JPYSHF-medicated serum group at the same time， the cell viability at 24 h and 48 h also decreased in the high-JPYSHF-medicated serum group and the LncRNA silencing group （P＜0.05）. Compared with the control serum group， the expression of USP4 and HDAC2 mRNA reduced in the low- and medium-dose JPYSHF-medicated serum groups and the USP4 inhibitor group， and the expression of LncRNA ALAL-1， USP4 and HDAC2 mRNA reduced in the high-dose JPYSHF-medicated serum group and LncRNA-silencing group， and HDAC2 mRNA expression reduced in the HDAC2 inhibitor group. USP4 and HDAC2 protein levels were reduced in cells of all groups except for USP4 protein level in HDAC2 inhibitor group （P＜0.05 or P＜0.01）. ConclusionJPYSHF-medicated serum inhibits proliferation and promotes apoptosis of human lung squamous carcinoma cells， and its mechanism of action may be related to its inhibition of the LncRNA ALAL-1/USP4/HDAC2 pathway， with best effect at a high concentration.

Cervical cancer is one of the most common gynecological malignant tumors in China. Given their lack of obviously early symptoms, more than half of patients with cervical cancer are diagnosed in the middle and late stages of this malignancy, resulting in poor prognosis. Finding new therapeutic targets is the current research direction. Metabolomics, as a new omics technology, is expected to provide new targets for tumor precision diagnosis and treatment through the analysis of the changes and potential mechanisms of metabolites in tumor occurrence and development by chromatography, mass spectrometry, and other technologies. Herein, we review the research methods of metabolomics; metabolic characteristics of cervical cancer; and progress of the research on metabolomics in cervical cancer diagnosis, curative effect prediction, and prognosis evaluation to provide new ideas for the precise diagnosis and treatment of cervical cancer.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

OBJECTIVE To explore the in vitro and in vivo inhibitory effects and mechanism of metformin on the malignant biological behavior of esophageal squamous cell carcinoma （ESCC） cells by the hypoxia inducible factor-1α （HIF-1α）/interleukin-8 （IL-8） signaling pathway. METHODS Human ESCC TE1 cells were assigned into blank group， metformin low-， medium-， and high-dose groups （0.5， 1， 2 mmol/L）， IDF-11774 （HIF-1α inhibitor） group （20 μmol/L）， and high-dose metformin+HIF-1α activator dimethyloxalylglycine （DMOG） group. After 24 h treatment， cell proliferation [measured by the positive rate of 5-ethynyl- 2′-deoxyuridine （EdU） and optical density at 450 nm （OD450 value）]， apoptosis， invasion and migration as well as mRNA expressions of proliferating cell nuclear antigen （PCNA）， Bcl-2 interacting mediator of cell death （Bim）， migration and invasion enhancer 1 （MIEN1）， and matrix metalloproteinase-9 （MMP-9）， and protein expressions of HIF-1α and IL-8 in the cells were detected. The xenograft tumor model of nude mice was established. Thirty nude mice were randomly divided into blank group， metformin low-， medium-， and high-dose groups （i.g. administration of metformin 62.5， 125， 250 mg/kg+i.p. administration of equal volume of normal saline）， IDF-11774 group （i.g. administration of 50 mg/kg IDF-11774+i.p. administration of equal volume of normal saline） and high-dose metformin+DMOG group （i.g. administration of metformin 250 mg/kg+i.p. administration of DMOG 250 mg/kg）， with 5 mice in each group. They were given relevant medicine， once a day， for 4 consecutive weeks； the mass and volume of the tumor and protein expressions of HIF-1α and IL-8 in the tumor tissue were determined. RESULTS The EdU positive rate， OD450 value， cell invasion number， scratch healing rate， mRNA expressions of PCNA， MIEN1 and MMP-9， protein expressions of HIF-1α and IL-8， as well as the mass and volume of transplanted tumors and protein expressions of HIF-1α and IL-8 in tumor tissues were decreased by metformin in concentration/dose-dependent manner （P＜0.05）. Additionally，metformin increased the apoptosis rate and mRNA expression of Bim in cells （P＜0.05）. The trend of changes in corresponding indicators in the IDF-11774 group was consistent with that in the metformin groups， whereas DMOG could significantly attenuate the aforementioned effects of high-concentration/high-dose metformin （P＜0.05）. CONCLUSIONS Metformin can inhibit the proliferation， invasion， migration of TE1 cells， and tumor growth of nude mice， and induce cell apoptosis， the mechanism of which may be related to the inhibition of HIF-1α/IL-8 signaling pathway.

Background The association between occupational physical activity (OPA) and cardiometabolic risk factors remains controversial, potentially due to differences in the associations between OPA and various cardiometabolic indicators, as well as the lack of a clearly defined optimal OPA range for multiple-indicator synergistic benefits. Objective To investigate the relationship between OPA and cardiometabolic risk factors in individuals at high risk of cardiovascular disease (CVD) in Hubei Province, and to explore an optimal OPA range for multi-indicator improvements. Methods Data were derived from the Hubei Province dataset of the China Health Evaluation And Risk Reduction Through Nationwide Teamwork from 2015 to 2023, including 19028 high-risk CVD individuals. OPA (metabolic equivalent·h·d⁻¹, MET·h·d⁻¹) was assessed using the China Kadoorie Biobank physical activity questionnaire, anthropometric measurements (height, weight, waist circumference) and cardiometabolic indicators (blood pressure, fasting blood glucose, lipid profiles) were measured. Multivariate logistic regression was used to analyze the association between logOPA quartiles (Q1-Q4) and abnormal cardiometabolic indicators, while restricted cubic spline (RCS) models were employed to explore their dose-response relationships. Subgroup and interaction analyses were also conducted by gender. Results The median OPA of all participants was 12.86 MET·h·d⁻¹ (male: 14.40 MET·h·d⁻¹, female: 11.14 MET·h·d⁻¹). After adjusting for confounders, compared with the Q1 group, logOPA in the Q4 group was associated with 20% (OR=0.80, 95%CI: 0.72, 0.89), 14% (OR=0.86, 95%CI: 0.78, 0.96), and 13% (OR=0.87, 95%CI: 0.79, 0.95) reduction in the risk of abdominal obesity, low high-density lipoprotein cholesterol (HDL-C), and metabolic syndrome (MS), respectively, and 33% (OR=1.33, 95%CI: 1.18, 1.49), 33% (OR=1.33, 95%CI: 1.18, 1.50), and 38% (OR=1.38, 95%CI: 1.21, 1.57) increase in the risk of high total cholesterol (TC), high low-density lipoprotein cholesterol (LDL-C), and high non-HDL-C, respectively. Similar trends were observed in males and females, with significant positive associations of logOPA with high TC and high non-HDL-C in males (P_interaction<0.05). The risk of low HDL-C decreased rapidly when logOPA was more than 2.213 (OPA>9.14 MET·h·d⁻¹), showing an inverted L-shaped trend. The risk of high TC, high LDL-C, and high non-HDL-C increased beyond logOPA thresholds of 3.244, 2.476, and 3.377 (OPA >25.64, 11.89, and 29.28 MET·h·d⁻¹), respectively, showing a J-shaped trend. However, logOPA exhibited a U-shaped nonlinear dose-response relationship with blood pressure and fasting blood glucose abnormalities (P_non-linear<0.05) , with minimal risks at logOPA 2.969 and 2.372 (OPA of 19.47 and 10.72 MET·h·d⁻¹). Conclusion OPA exhibits heterogeneous dose-response patterns across cardiometabolic indicators. Integrating the inverted L-, J-, and U-shaped association patterns, we suggest an optimal OPA range of 9.14−25.64 MET·h·d⁻¹ for multiple cardiometabolic indicators in total individuals at high-risk of CVD, with ranges of 9.61−31.34 MET·h·d⁻¹ for males and 8.97−22.87 MET·h·d⁻¹ for females. These findings provide critical evidence for developing OPA interventions strategies targeting high-risk population for CVD.