Based on the theory of "yang governs and yin follows"， it is believed that pediatric obesity is primarily involves the key pathogenesis of constraint and stagnation due to yang deficiency， and the excessive accumulation of yin turbid. The root cause lies in the spleen-stomach yang deficiency and impaired digestion and transformation， while the branch manifestation is characterized by constraint and stagnation in sanjiao （三焦） and excessive accumulation of yin turbid. This emphasizes the imbalance between the governing function of yang qi and the transformation mechanism of yin essence in the overall pathological process. Accordingly， the treatment approach of reinforcing yang and unblocking stagnation， inhibiting yin and resolving turbid has been proposed. And a comprehensive treatment plan is suggested， including abdominal tuina combined with spinal manipulation， timed acupuncture according to the the eightfold method of the sacred tortoise， syndrome differentiation-based acupuncture， and mild moxibustion. This approach aims to provide an integrated approach for the prevention and treatment of pediatric obesity.

Objective To explore the effect of remote ischemic preconditioning (RIPC) on preoperative heart rate variability in patients with heart valves. Methods Patients scheduled to undergo on-pump cardiac valve surgery in the Department of Cardiovascular Surgery, General Hospital of Northern Theater Command, between January and July 2022 were initially enrolled. Eligible patients were randomly assigned at a 1 : 1 ratio to either the RIPC group or the control group. Relevant indicators of heart rate variability [standard deviation of NN interval (SDNN), standard deviation of mean value of NN interval in every five minutes (SDANN), mean square root of difference between consecutive NN intervals (RMSSD), percentage of adjacent RR interval>50 ms (PNN50), low frequency (LF) component, high frequency (HF) component and LF/HF] at 8 hours in the morning on the surgical day between two groups were compared. Results A total of 118 patients were initially assessed. After screening, 58 patients were excluded, and 60 patients provided written informed consent and were enrolled in the trial, with 30 allocated to the RIPC group and 30 to the control group. Seven patients in the control group and 5 patients in the RIPC group were subsequently excluded due to missing heart rate variability data resulting from cancelled operations. Finally, 23 patients in the control group and 25 patients in the RIPC group were included in the analysis. There was no statistical difference in baseline characteristics between the two groups, and there was no significant difference in heart rate variability 24 hours before intervention (P>0.05). After the intervention measures were taken, the comparison of the results of heart rate variability at 8 hours on the day of operation showed that SDNN and SDANN of patients in the RIPC group were higher than those in the control group, with statistical differences (P<0.05). Conclusion RIPC can stabilize the preoperative heart rate variability of patients undergoing cardiac valve surgery.

The Chinese health index assessment system integrates the dialectical thinking of traditional philosophy， taking the Taoist cosmology， Confucian ethical view， and the holistic perspective of traditional Chinese medicine （TCM） as its theoretical foundation. It deeply analyzes the sages' conceptions of the ideal personality and social order， as well as their ideas on mind-body cultivation， while incorporating modern health concepts from psychology， medicine. The study systematically explicates the connotation and characteristics of eight components of the Chinese health index， including harmony， dedication， compassion， happiness， peace of mind， innovation， fulfillment， and adaptability. This system establishes a multidimensional assessment framework covering physical health， psychological well-being， human-social relations， and the relationship with nature， which demonstrates high cultural adaptability and practical applicability， offering theoretical reference for assessing the mind-body health of the Chinese population and for informing health promotion policies.

ObjectiveTo develop and validate a diagnostic prediction model for differentiating pulmonary tuberculosis from community-acquired pneumonia based on routine blood parameters. MethodsA total of 642 patients with pulmonary tuberculosis and 503 patients with community-acquired pneumonia were retrospectively enrolled from the Seventh Hospital of Tangshan. They were randomly divided into a training set and an internal validation set at a 7∶3 ratio. Additionally， 218 patients from the 981st Hospital were independently included as an external validation set. The Boruta algorithm and recursive feature elimination were employed to select predictors from 82 blood parameters， sex， and age. A multivariate Logistic regression model was established and evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis. ResultsThe final model incorporated eight predictors， namely uric acid， urea nitrogen， alkaline phosphatase， monoamine oxidase， alanine aminotransferase， glutathione， neutrophil percentage， and age. The model achieved areas under the curve （AUCs） of 0.800 （95%CI： 0.769-0.830）， 0.787 （95%CI： 0.738-0.836）， and 0.736 （95%CI： 0.667-0.835） in the training， internal validation， and external validation sets， respectively. The model demonstrated good calibration， and decision curve analysis showed clinical net benefit within the threshold probability range of 10%-80%. ConclusionThe developed model exhibits good discriminative ability and clinical utility， serving as an effective early screening tool for primary healthcare institutions.

This study investigated the potential pathogenicity and genetic characteristics of ST314 Salmonella Kentucky(S.Ken-tucky)isolates from a broiler slaughterhouse.Antimicrobial susceptibility testing and whole-genome sequencing(WGS)were used to determine antimicrobial resistance,virulence factors,and the presence of antimicrobial resistance genes(ARGs)and mobile genetic elements(MGEs)among the isolates.The three multidrug resistant(MDR)isolates exhibited high resistance to multiple antimicrobial agents.The F4-2S strain exhibited resistance to 14 drugs across seven categories,whereas the F4T strain showed resistance to 13 drugs in the same number of categories.In contrast,the Y23 strain was resistant to nine drugs in six categories.Notably,F4-2S dem-onstrated high homology with F4T:both possessed 13 ARGs distributed across nine categories,in addition to a wide range of virulence factors,including secretion systems and effector proteins.The presence of IncR and IncX1 plasmids significantly enhanced both the antimicrobial resistance and pathogenicity of the isolates.The genome map of Y23 revealed a chromosome alongside two plasmids.The chromosome containedonly one resistance gene but several virulence factors,including the type III secretion system(T3SS),which is crucial for bacterial invasion.The plasmid pY23-1 contained eight types of 19 ARGs.Comparative analysis indicated that pY23-1 ex-hibited high homology with pZ1323SSL0055 and pSAL-045,all of which contained multiple ARGs,thus suggesting critical roles of these genes in the evolution of bacterial resistance.In conclusion,ST314 S.Kentucky demonstrated a complex mechanism of resis-tance coupled with significant pathogenic potential.The ARGs and MGEs in the plasmid contributed to the emergence and dissemina-tion of antimicrobial resistance.The multiple virulence factors present in the chromosome may be key factors driving the increasing virulence of ST314 S.Kentucky.

Berberine is a kind of isoquinoline alkaloid extracted from the roots and rhizomes of many medicinal plants,such as Coptis chinensis of Ranunculus family,Phellodendron chinensis of rutaceae family,and Berberine Sanacanthus family.In recent years,with the deepening of research,berberine has shown re-markable prevention and treatment effect in a variety of neuro-psychiatric disease models.This paper summarizes the research progress of berberine in neuropsychiatric diseases and provides theoretical support for further clinical prevention and treatment of neuropsychiatric diseases.

Aim To explore the role of zinc transporter 6(SLC30A6)on the proliferation,migration and inva-sion capabilities of hepatocellular carcinoma(HCC)cell line Huh7,and to identify potential traditional Chi-nese medicine(TCM)small-molecule inhibitors targe-ting SLC30A6 from the China Natural Products Data-base(CNPD)using virtual screening techniques.Methods The expression levels,clinical characteris-ticsand prognostic value of SLC30A6 in HCC were pre-dicted based on TCGA and ICGC datasets.SLC30A6 was knocked down in Huh7 cells using lentiviral trans-fection.The effects on cell proliferation,migration,and invasion were assessed using CCK-8,EdU,wound heal-ing,and Transwell assays.The regulation of HCC cancer stem cell markers(CD44,CD133,CD90)by SLC30A6 was also examined.Based on the CNPD,a docking-based virtual screening strategy was employed,including high-throughput virtual screening,standard precision virtual screening,and high-precision virtual screening,to identify the potential drug candidates with high specificity and favorable drug-likeness.Results SLC30A6 expression was upregulated in HCC tissues.Higher SLC30A6 levels were associated with advanced pathological stages,histological grades,alpha-fetopro-tein(AFP)levels,vascular invasion,and poor progno-sis in HCC patients.SLC30A6 knockdown significantly inhibited the proliferation,migration,and invasion of Huh7 cells and reduced the levels of HCC cancer stem cell markers.Virtual screening identified six potential TCM small-molecule inhibitors.Conclusions SLC30A6 can regulate the proliferation,migrationand invasion of HCC cells.SLC30A6 may serve as a poten-tial prognostic biomarker and therapeutic target for HCC.

Objective Under the theory guidance of the Fuxingjue and the Tang-Ye-Jing-Fa map,this study aims to explore the common patterns and unique characteristics of five-flavor combinations in formulas for treating different syndromes of cough.Methods Chinese herbal formulas for cough treatment were collected from traditional Chinese medicine(TCM)clinical practice guidelines,consensuses,and textbooks,and their flavor combinations and distribution were clarified.Based on the theory of the Tang-Ye-Jing-Fa map regarding the five flavors for lung diseases(sour for tonifying,salty for purging,and pungent for transforming),the dominant flavors in each formula were statistically analyzed.Further classification was conducted according to the cold-heat properties and the amount of phlegm,and the characteristics and five-flavor combination patterns of formulas for different syndromes were analyzed.Results A total of 21 formulas for treating different syndromes of cough were statistically analyzed,among which 85.7%of the formulas had dominant flavors of"sour,salty,and pungent".For hot cough(9 formulas),sour was mainly used to tonify the lung and bitter to purge the heart(e.g.,Sangxing Tang and Qingjin Huatan Tang);for cold cough(4 formulas),pungent was mainly used to tonify the liver and warm yang(e.g.,San'ao Tang combined with Zhike San and Xiaoqinglong Tang);for cough with abundant phlegm(7 formulas),the focus was on using pungent to purge the spleen and eliminate dampness(e.g.,Erchen Tang combined with Sanzi Yangqin Tang);for cough with little or no phlegm(6 formulas),sour was used as the core to tonify the lung and nourish yin(e.g.,Sha Shen Mai Dong Tang).Conclusion From the perspective of the Tang-Ye-Jing-Fa map,the flavors of"sour,salty,and pungent"play an important role in the composition of formulas for treating cough.Although the five-flavor combinations of formulas for different syndromes of cough vary,they share common characteristics when classified according to cold-heat properties and phlegm amount.These findings provide a theoretical basis for optimizing the combination of Chinese herbal formulas for cough treatment by adjusting the proportion of the five flavors in clinical practice.

Objective:This study aimed to integrate RNA-seq data to identify key genes associated with macrophage-ferroptosis and develop a prognostic model for hepatocellular carcinoma(HCC).Methods:We retrieved a dataset from the GEO database containing transcriptome data and clinical information for 163 samples.Macrophage-related genes were identified using WGCNA and immune infiltration analyses.Ferroptosis-related genes from the FerrDbV2 database were intersected with differentially expressed genes to obtain significant macrophage-ferroptosis-related genes.Hub genes were screened via protein interaction network construction,and key genes were identified using four machine learning algorithms.These genes exhibited significant expression differences between cancer and normal tissues and were closely linked to patient prognosis.ROC curve and KM survival analyses were performed,and expression levels were validated at the transcriptome and proteome levels.Results:Four key genes RRM2,KIF20A,PCK2,and PDK4 were identified and evaluated.RRM2 and KIF20A demonstrated high importance in classification prediction models and reliable performance in ROC and KM analyses(AUC＞0.9,P＜0.05).These genes regulate cancer cell proliferation/survival and macrophage polarization/function,influencing the tumor microenvironment and HCC progression.Conclusion:RRM2 and KIF20A regulate cancer cell proliferation and survival,modulate macrophage polarization and function,and influence the immune response in the tumor microenvironment.They can serve as prognostic biomarkers and potential immunotherapy targets for hepatocellular carcinoma.

Objective To investigate the role of additional platelet protein kinase C epsilon(PKCε)assay in risk stratification and additional diagnostic testing in elderly patients with acute chest pain and normal hypersensitive cardiac troponin I(hs-cTnI)level.Methods A prospective trial was conducted on 220 consecutive elderly patients with angina-like acute chest pain and normal hs-cTnI level in our hospital from April 2022 to April 2023.According to whether major adverse cardiovascular events(MACE)occurred during the 1-year follow-up period,they were assigned in-to MACE group(24 cases)and non-MACE group(196 cases).Their general clinical data and platelet PKCε expression were compared between the two groups.Kaplan-Meier survival curve was plotted to analyzed the event-free time between the platelet PKCε expression＜2.05％group and the≥2.05％group.Multivariate Cox regression analysis was used to investigate the impact of baseline data on the occurrence of MACE during the 1-year follow-up period.Decision tree model was employed to analyze the influencing factors for MACE.Results During 1-year follow-up,24 patients(10.91％)developed MACE.The platelet PKCε expression was significantly higher in the MACE group than the non-MACE group[9.25％(6.60％,15.25％)vs 1.70％(0.80％,3.25％),Z=-7.596,P＜0.01].Kaplan-Meier survival curve analysis showed that the patients in the PKCε＜2.05％group had no events within 360 d,while those in the ≥2.05％group had an average event-free time of 297.13±12.77 d,with a statistical difference(log rank Chi-square=27.051,P=0.000).Multivariate Cox regression analysis showed that highly suspicious angina,hs-cTnI and platelet PKCε were independent risk factors for MACE within 1 year of follow-up(HR=3.011,95％CI:1.049-8.641,P=0.040;HR=1.216,95％CI:1.044-1.418,P=0.012;HR=1.160,95％CI:1.104-1.218,P=0.000).In the decision tree model,the 1-year incidence of MACE was notably higher in the platelet PKCε≥2.05％group than the＜2.05％group(P=0.011).The probability of severe coronary artery stenosis or myocardial ischemia in the platelet PKCε≥2.05％group was remarkably higher than the＜2.05％group(P=0.006).Conclusion In elderly patients suffering from acute chest pain with normal hs-cTnI level,additional platelet PKCε detection appears to have a good prognostic gain.