Objective To explore the mechanism of electroacupuncture in improving lipid metabolism in polycystic ovary syndrome(PCOS)based on metabolomics combined with transcriptomics.Methods Eight-een SD rats were divided into the control group,the PCOS group and the electroacupuncture group,with 6 rats in each group.The PCOS group and the electroacupuncture group used intragastric letrozole to establish the PCOS model.After the model was established,the electroacupuncture group was intervened with electroacu-puncture,while the control group was only given sodium carboxymethyl cellulose by gavage.Observed the changes in body weight and estrous cycle of the three groups,detected the sex hormones,blood lipids,liver function,ovarian morphology,plasma metabolism and liver function indicators of the three groups.Metabolo-mics was used to analyze the differences in metabolites in plasma,the differences in gene expression in the liv-er were detected by RT-qPCR.Results Weight gain and estrous cycle disorder occurred in the PCOS group,and the ovarian morphology showed a thinning of the granulosa cell layer,with a significant reduction in the number of corpus luteum and mature follicles.Meanwhile,sex hormones were abnormal(total testosterone and androgen levels were increased,estradiol and progesterone levels were decreased),dyslipidemia occurred(TC,TG,LDL-C were increased,HDL-C level was decreased),and liver function was abnormal(AST,total protein,ALB,TBIL were increased).The electroacupuncture group significantly reduced weight.It improved the estrous cycle,and the granulosa cell layer of the ovary thickened,with a significant increasing in the num-ber of corpus luteum and mature follicles.Meanwhile,sex hormone levels were improved(androgen and total testosterone levels were decreased,estradiol level was increased),lipid balance(TC,TG,LDL-C levels were reduced,HDL-C level was increased)and liver function(AST,total protein,ALB,and TBIL levels were de-creased)was restored.Transcriptomics suggested that electroacupuncture down-regulated the expression of cytochrome P450(CYPs)family genes related to steroid hormones and lipid metabolism,and the results were confirmed by RT-qPCR.Combined omics analysis revealed that electroacupuncture might mainly exert its effect on improving lipid metabolism disorders in PCOS rats through the linoleic acid metabolic pathway.Con-clusion Electroacupuncture can regulate lipid metabolism in rats with PCOS.

Objective To investigate the inhibitory effect of long non-coding RNA(lncRNA)GAS5 on mi-croRNA-21(miR-21)in lung cancer cells through phosphatidylinositol 3-kinase(PI3K)/protein kinase B(Akt)/mammalian target of rapamycin(mTOR)signaling pathway on epithalium-mesenchymal transforma-tion and autophagy.Methods Real-time quantitative polymerase chain reaction(qPCR)was used to detect the expression of lncRNA GAS5 in 5 patients with non-small cell lung cancer(NSCLC)and adjacent groups.Dual luciferase reporter gene assay was used to detect the targeting effect of lncRNA GAS5 on miR-21.A549 cells were divided into 5 groups,including pcDNA-null group,pcDNA-GAS5 group,pcDNA-GAS5+mimic group,pcDNA-GAS5+mimic group and pcDNA-GAS5+mimic+BEZ235 group.lncRNA GAS5 and miR-21 expression were detected by qPCR.PI3K,phosphorylated Akt(p-Akt),phosphorylated mTOR(p-mTOR),Beclin1,microtubule-associated protein light chain 3(LC3)-Ⅱ,LC3-Ⅰ,E-cadherin,N-cadherin,Vimentin,Twist1,proliferation associated nuclear antigen(Ki67)and proliferating cell nuclear antigen(PCNA)expres-sion.The cell proliferation activity was measured by 3-(4,5-dimethylthiazole-2-yl)-2,5-diphenyltetrazolium bromide method.Results lncRNA GAS5 expression in NSCLC group was significantly higher than that in ad-jacent group,with statistical significance(P<0.05).Dual luciferase reporter gene assay determined that ln-cRNA GAS5 in A549 cells had a direct targeting effect on miR-21.Compared with pcDNA-null group,cell pro-liferation activity decreased in pcDNA-GAS5 group.lncRNA GAS5,PI3K,p-Akt,p-mTOR,Beclin1,LC3-Ⅱ,N-cadherin,Vimentin,Twist1,Ki67 and PCNA were down-regulated,while miR-21,LC3-Ⅰ and E-cadherin were up-regulated,the difference was statistically significant(P<0.05).Compared with pcDNA-GAS5+mimic group,the cell proliferation activity of pcDNA-GAS5+mimic group was up-regulated.The expressions of PI3K,p-Akt,p-mTOR,Beclin1,LC3-Ⅱ,N-cadherin,Vimentin,Twist1,Ki67,and PCNA were up-regulated,while the expressions of miR-21,LC3-Ⅰ,and E-cadherin were down-regulated,with statistical significance(P<0.05).Compared with pcDNA-GAS5+mimic group,the cell proliferation activity of pcDNA-GAS5+mimic+BEZ235 group was down-regulated.The expressions of PI3K,p-Akt,p-mTOR,Beclin1,LC3-Ⅱ,N-cadherin,Vimentin,Twist1,Ki67 and PCNA were down-regulated,while the expressions of LC3-Ⅰ and E-cad-herin were up-regulated,with statistical significance(P<0.05).Conclusion lncRNA GAS5 inhibits PI3K/Akt/mTOR signaling pathway through miR-21,thereby inhibiting epithelial-mesenchymal transformation and autophagy of lung cancer cells,and reducing cell proliferation activity.

Objective: To analyze the impact of maternal metal exposure during early pregnancy on the physical development of offspring at 1 and 3 years of age, so as to provide scientific evidence for reducing the adverse effects of heavy metals on their health. Methods: From 2024 to 2018, a total of 1 588 mother child pairs from the Jiangsu Birth Cohort (JBC) were included in this study. Multiple linear regression models, generalized estimating equations (GEE), and weighted quantile sum (WQS) regression models were used to assess the associations between 24 urinary metal mass concentrations (adjusted for specific gravity, SG) during early pregnancy and offspring growth outcomes, including length/height for age Z score(HAZ), weight for age Z score(WAZ), weight for length/height Z score(WHZ), and head circumference for age Z score(HCAZ) at 1 and 3 years of age. Results: After adjusting for confounders, GEE analysis revealed that each natural log unit increase in maternal urinary concentrations of vanadium, tin, cerium, lead, and uranium during early pregnancy was associated with an average reduction in HCAZ by 14.29%, 4.82%, 2.62 %, 5.04 %, and 8.33%, respectively, at 1 and 3 years of age (FDR- P <0.05). Multiple linear regression analysis revealed that increased urinary vanadium concentration was associated with reduced HAZ at 1 year of age, while increased urinary concentrations of vanadium, chromium, tin, antimony, and uranium were associated with reduced HCAZ at 1 year of age (FDR- P <0.05). In the WQS regression model, each unit increase in the WQS index was associated with a 22.64% reduction in HCAZ at 1 year of age, with tin (22.2%) contributing the highest weight, followed by uranium (16.2%), lead (11.5%), vanadium (10.0%), arsenic (6.5%), and chromium (5.0%). Conclusions Prenatal exposure to specific metals and their mixtures may significantly impact the physical development of offspring at 1 and 3 years of age, particularly head circumference. These findings highlight the need to enhance monitoring of maternal metal exposure during early pregnancy to reduce the potential health risks posed by environmental metal pollution to infants and young children.

Objective To analyze the differences in distribution of traditional Chinese medicine (TCM) syndrome elements and salivary microbiota between the individuals with pulmonary nodules and those without, and to explore the potential correlation between the distribution of TCM syndrome elements and salivary microbiota in patients with pulmonary nodules. Methods We retrospectively recruited 173 patients with pulmonary nodules (PN) and 40 healthy controls (HC). The four diagnostic information was collected from all participants, and syndrome differentiation method was used to analyze the distribution of TCM syndrome elements in both groups. Saliva samples were obtained from the subjects for 16S rRNA high-throughput sequencing to obtain differential microbiota and to explore the correlation between TCM syndrome elements and salivary microbiota in the evolution of the pulmonary nodule disease. Results The study found that in the PN group, the primary TCM syndrome elements related to disease location were the lung and liver, and the primary TCM syndrome elements related to disease nature were yin deficiency and phlegm. In the HC group, the primary TCM syndrome elements related to disease location were the lung and spleen, and the primary TCM syndrome elements related to disease nature were dampness and qi deficiency. There were differences between the two groups in the distribution of TCM syndrome elements related to disease location (lung, liver, kidney, exterior, heart) and disease nature (yin deficiency, phlegm, qi stagnation, qi deficiency, dampness, blood deficiency, heat, blood stasis) (P<0.05). The species abundance of the salivary microbiota was higher in the PN group than that in the HC group (P<0.05), and there was significant difference in community composition between the two groups (P<0.05). Correlation analysis using multiple methods, including Mantel test network heatmap analysis and Spearman correlation analysis and so on, the results showed that in the PN group, Prevotella and Porphyromonas were positively correlated with disease location in the lung, and Porphyromonas and Granulicatella were positively correlated with disease nature in yin deficiency (P<0.05). Conclusion The study concludes that there are notable differences in the distribution of TCM syndrome elements and the species abundance and composition of salivary microbiota between the patients with pulmonary nodules and the healthy individuals. The distinct external syndrome manifestations in patients with pulmonary nodules, compared to healthy individuals, may be a cascade event triggered by changes in the salivary microbiota. The dual correlation of Porphyromonas with both disease location and nature suggests that changes in its abundance may serve as an objective indicator for the improvement of symptoms in patients with yin deficiency-type pulmonary nodules.

Objective To explore the recognition capabilities of electronic nose combined with machine learning in identifying the breath odor map of benign and malignant pulmonary nodules and Traditional Chinese Medicine (TCM) syndrome elements. Methods The study design was a single-center observational study. General data and four diagnostic information were collected from 108 patients with pulmonary nodules admitted to the Department of Cardiothoracic Surgery of Hospital of Chengdu University of TCM from April 2023 to March 2024. The patients' TCM disease location and nature distribution characteristics were analyzed using the syndrome differentiation method. The Cyranose 320 electronic nose was used to collect the odor profiles of oral exhalation, and five machine learning algorithms including random forest (RF), K-nearest neighbor (KNN), logistic regression (LR), support vector machine (SVM), and eXtreme gradient boosting (XGBoost) were employed to identify the exhaled breath profiles of benign and malignant pulmonary nodules and different TCM syndromes. Results (1) The common disease locations in pulmonary nodules were ranked in descending order as liver, lung, and kidney; the common disease natures were ranked in descending order as Yin deficiency, phlegm, dampness, Qi stagnation, and blood deficiency. (2) The electronic nose combined with the RF algorithm had the best efficacy in identifying the exhaled breath profiles of benign and malignant pulmonary nodules, with an AUC of 0.91, accuracy of 86.36%, specificity of 75.00%, and sensitivity of 92.85%. (3) The electronic nose combined with RF, LR, or XGBoost algorithms could effectively identify the different TCM disease locations and natures of pulmonary nodules, with classification accuracy, specificity, and sensitivity generally exceeding 80.00%.Conclusion Electronic nose combined with machine learning not only has the potential capabilities to differentiate the benign and malignant pulmonary nodules, but also provides new technologies and methods for the objective diagnosis of TCM syndromes in pulmonary nodules.

BACKGROUND: Spicy food consumption has been reported to be inversely associated with mortality from multiple diseases. However, the effect of spicy food intake on the incidence of vascular diseases in the Chinese population remains unclear. This study was conducted to explore this association. METHODS: This study was performed using the large-scale China Kadoorie Biobank (CKB) prospective cohort of 486,335 participants. The primary outcomes were vascular disease, ischemic heart disease (IHD), major coronary events (MCEs), cerebrovascular disease, stroke, and non-stroke cerebrovascular disease. A Cox proportional hazards regression model was used to assess the association between spicy food consumption and incident vascular diseases. Subgroup analysis was also performed to evaluate the heterogeneity of the association between spicy food consumption and the risk of vascular disease stratified by several basic characteristics. In addition, the joint effects of spicy food consumption and the healthy lifestyle score on the risk of vascular disease were also evaluated, and sensitivity analyses were performed to assess the reliability of the association results. RESULTS: During a median follow-up time of 12.1 years, a total of 136,125 patients with vascular disease, 46,689 patients with IHD, 10,097 patients with MCEs, 80,114 patients with cerebrovascular disease, 56,726 patients with stroke, and 40,098 patients with non-stroke cerebrovascular disease were identified. Participants who consumed spicy food 1-2 days/week (hazard ratio [HR] = 0.95, 95% confidence interval [95% CI] = [0.93, 0.97], P <0.001), 3-5 days/week (HR = 0.96, 95% CI = [0.94, 0.99], P = 0.003), and 6-7 days/week (HR = 0.97, 95% CI = [0.95, 0.99], P = 0.002) had a significantly lower risk of vascular disease than those who consumed spicy food less than once a week ( Ptrend <0.001), especially in those who were younger and living in rural areas. Notably, the disease-based subgroup analysis indicated that the inverse associations remained in IHD ( Ptrend = 0.011) and MCEs ( Ptrend = 0.002) risk. Intriguingly, there was an interaction effect between spicy food consumption and the healthy lifestyle score on the risk of IHD ( Pinteraction = 0.037). CONCLUSIONS Our findings support an inverse association between spicy food consumption and vascular disease in the Chinese population, which may provide additional dietary guidance for the prevention of vascular diseases.
Humans ; Male ; Female ; Prospective Studies ; Middle Aged ; Aged ; Vascular Diseases/etiology* ; Risk Factors ; China/epidemiology* ; Adult ; Proportional Hazards Models ; Cerebrovascular Disorders/epidemiology* ; East Asian People

Objective To compare the value of standard deviation(SD)method and root mean square(RMS)method for measuring signal-to-noise ratio(SNR)of MRI of American College of Radiology(ACR)phantom based on phased array coils.Methods ACR phantom was scanned with head coil(Head),abdominal coil(Anterior),dual piece flexible coil(Flex L)and abdominal coil+flexible coil(Anterior+Flex L)each for 6 times,respectively,with sequences of axial T 1W-spin echo(SE)and T2W-SE.And the scanning schemes were divided into 8 groups based on 4 types of coils and 2 sequences.SNR of 8 groups were measured with standard deviation method and root mean square method,respectively,and the differences between the above 2 methods were observed.Results For T1W-SE sequence,SNRsD of MRI based on Head,Anterior,Flex L and Anterior+Flex L was 1.25±0.07,0.56±0.02,1.15±0.10 and 1.04±0.11,respectively,while SNRRMs was 1.10±0.07,0.58±0.03,1.01±0.13 and 1.31±0.15,respectively.For T2W-SE sequence,SNRsD was 1.40±0.08,0.48±0.02,1.04±0.07 and 1.08±0.06,respectively,while SNRRMs was 1.29±0.09,0.53±0.03,0.84±0.08 and 1.35±0.12,respectively.Compared pairwise,significant difference of SNRsD was found in 9 pairs(all P＜0.05),while of SNRRMs was detected in 10 pairs(all P＜0.05).Conclusion Compared with standard deviation method,root mean square method was more suitable for measuring SNR of MRI of ACR phantom based on phased array coils.

Cancer stands as a significant global public health challenge,and cancer screening serves as a pivotal strategy for reducing its mortality.Presently,only a limited number of cancer types have appropriate screening methods available.Traditional single-cancer screen-ing approaches are fraught with limitations,including invasiveness,low accuracy,and poor patient compliance.Multi-cancer early detection(MCED)leveraging liquid biopsy technology enables non-invasive and efficient early detection of multiple cancers by analyzing biomarkers such as cell-free DNA,cell-free RNA,proteins,and metabolites in blood and other bodily fluids.This innovative approach substantially broadens the spectrum of detectable cancers and enhances population coverage,showcasing immense potential for improving existing can-cer screening strategies.This expert consensus comprehensively reviews the progress of liquid biopsy-based MCED,biomarker selection and detection technologies,the criteria for cancer type selection,research design and clinical utility evaluation,as well as implementation path-ways.The overarching goal of this consensus is to offer scientific guidance for further research and the widespread adoption of MCED,thereby facilitating the continuous optimization of cancer screening strategies.

Objective:To analyze the degree of intervertebral disc degeneration above and below the vertebral body in pilots with lumbar spondylolysis.Methods:The medical records of 66 pilots who underwent lumbar imaging examinations at the Air Force Medical Center between September 2011 and January 2025 were retrospectively analyzed. The degree of intervertebral disc degeneration was compared between 33 pilots with lumbar spondylolysis and another 33 age-matched pilots without spondylolysis. The spondylolysis group was divided into subgroups with/without spondylolisthesis and unilateral/bilateral subgroups. The degree of disc degeneration above and below the vertebral body was compared between these subgroups using the modified Pfirrmann grading system.Results:The modified Pfirrmann scores of the discs above and below the spondylolytic vertebral body in the spondylolysis group were significantly higher than those at the corresponding segments in the non-spondylolysis group ( Z=-2.39, -4.41, P=0.017,<0.001). In pilots with spondylolysis accompanied by spondylolisthesis, the modified Pfirrmann score of the disc below the slipped vertebral body was significantly higher than that in pilots without spondylolisthesis ( Z=-3.02, P=0.003). However, there was no statistically significant difference in the modified Pfirrmann score of the disc above the slipped vertebral body between pilots with and without spondylolisthesis ( P>0.05). No significant differences were observed in the modified Pfirrmann scores of the discs above and below the vertebral body between pilots with unilateral and bilateral spondylolysis (both P>0.05). Conclusions:Pilots with lumbar spondylolysis exhibit severe intervertebral disc degeneration above and below the affected vertebral body. Spondylolisthesis can continue to exacerbate degeneration in the disc inferior to the affected vertebra.

Objective:To investigate the longitudinal relationships among resilience, social support, and negative emotions in college students.Methods:Questionnaire surveys were administered to 1 739 college students from a university in Hebei Province born in the same year in November 2020 and November 2021 respectively, and 1 183 valid responses were finally obtained. The survey battery comprised the 11-item resilience scale, the social support questionnaire, and the 21-item depression anxiety stress scales. Cross-lagged panel analysis was conducted using Mplus 8.3 software. Mediating effects were tested via the Bootstrap method.Results:The scores of resilience, social support and negative emotion at T1 were 58 (51, 65), 57 (51, 66), and 3 (0, 10), respectively. The scores of resilience, social support and negative emotion at T2 were 59 (48, 66), 56 (44, 65), and 11 (1, 24), respectively. Resilience at T1 and T2 were significantly and positively correlated with social support at T1 and T2 ( r=0.66, 0.75, 0.40, 0.33, all P<0.01), while negatively correlated with negative emotion at T1 and T2( r=-0.45, -0.23, -0.26, -0.24, all P<0.01). Social support at T1 and T2 were negatively correlated with negative emotion at T1 and T2( r=-0.44, -0.28, -0.28, -0.28, all P<0.01). T1 resilience significantly and positively predicted T2 resilience ( β=0.35) and T2 social support ( β=0.15). T1 social support significantly and positively predicted T2 resilience ( β=0.07) and T2 social support ( β=0.35), while negatively predicted T2 negative emotion ( β=-0.15). T1 negative emotion significantly and negatively predicted T2 resilience ( β=-0.06) and T2 social support ( β=-0.07). The total effect of T1 resilience on T2 negative emotion was -0.35, and the mediating effect of T2 social support was -0.09, accounting for 25.71% of the total effect. Conclusion:T2 social support partially mediates the relationship between T1 resilience and T2 negative emotions.