ObjectiveTo investigate the protective effect and mechanism of action of flavonoid combination of Alpiniae Officinarum Rhizoma （A. officinarum） against Helicobacter pylori （H. pylori） gastritis in mice. MethodsAfter acclimatization for one week， 56 SPF-grade healthy C57BL/6J mice were gavaged with mixed antibiotics for three consecutive days. They were randomly divided into a normal group， model group， positive drug group （triple therapy group）， and low- and high-dose groups （100， 200 mg·kg^-1） of flavonoid combination of A. officinarum. The H. pylori gastritis mice model was established by gavage with H. pylori bacterial suspension in each group except for the normal group. After successful modeling， mice were administrated with corresponding drugs once a day for two weeks. Hematoxylin-eosin （HE） staining was used to observe the pathological changes in gastric tissue. Rapid urease test paper was used to detect the positive rate of H. pylori. Silver staining was used to observe the H. pylori adherence on the surface of gastric tissue. Immunohistochemistry was used to detect the protein expression of interleukin-8 （IL）-8 and myeloid differentiation factor （MyD88） in gastric tissue. The serum levels of IL-6， tumor necrosis factor-α （TNF-α）， IL-8， and IL-1β were detected by enzyme-linked immunosorbent assay （ELISA）. The expressions of phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） protein were detected by Western blot. ResultsCompared with those in the normal group， mice in the model group had lower gastric weight coefficients， higher pH of gastric juice， 100% H. pylori infection rate， and significantly changed gastric histopathology. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the model group were significantly elevated， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly up-regulated in mice. Compared with that in the model group， the gastric weight coefficient of mice in each treatment group of the flavonoid combinations of A. officinarum was elevated （P<0.01）， and the pH of gastric juice was reduced （P<0.01）. The infection rate of H. pylori was reduced. The expressions of IL-8 and MyD88 proteins in the gastric tissue of mice in the treatment groups were significantly reduced （P<0.01）， and the serum levels of inflammatory factors IL-6， TNF-α， IL-8， and IL-1β were significantly reduced in a dose-dependent manner （P<0.01）. The flavonoid combinations of A. officinarum down-regulated the expression of PI3K and Akt proteins in H. pylori gastritis-infected cells （P<0.01）. ConclusionThe protective effect of flavonoid combinations of A. officinarum against H. pylori gastritis is associated with the inhibition of H. pylori infection rate and regulation of PI3K/Akt signaling pathway， resulting in inhibiting the release of inflammatory factors.

OBJECTIVE To investigate the effect and mechanism of Jingangteng capsules in the treatment of non-alcoholic fatty liver disease （NAFLD）. METHODS Thirty-two SD rats were randomly divided into normal group and modeling group. The modeling group was fed a high-fat diet to establish a NAFLD model. The successfully modeled rats were then randomly divided into model group， atorvastatin group[positive control， 2 mg/（kg·d）]， and Jingangteng capsules low- and high-dose groups [0.63 and 2.52 mg/（kg·d）]， with 6 rats in each group. The pathological changes of the liver were observed by hematoxylin-eosin staining and oil red O staining. Enzyme-linked immunosorbent assay was performed to determine the serum levels of triglycerides （TG）， total cholesterol （TC）， high-density lipoprotein cholesterol （HDL-C）， low-density lipoprotein cholesterol （LDL-C）， alanine transaminase （ALT）， aspartate transaminase （AST）， tumour necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， IL-6， IL-18. 16S rDNA amplicon sequencing and metabolomics techniques were applied to explore the effects of Jingangteng capsules on gut microbiota and metabolisms in NAFLD rats. Based on the E-mail：591146765@qq.com metabolomics results， Western blot analysis was performed to detect proteins related to the nuclear factor kappa-B （NF-κB）/NOD-like receptor family protein 3 （NLRP3） signaling pathway in the livers of NAFLD rats. RESULTS The experimental results showed that Jingangteng capsules could significantly reduce the serum levels of TG， TC， LDL-C， AST， ALT， TNF-α， IL-1β， IL-6， IL-18， while increased the level of HDL-C， and alleviated the hepatic cellular steatosis and inflammatory infiltration in NAFLD rats. They could regulate the gut microbiota disorders in NAFLD rats， significantly increased the relative abundance of Romboutsia and Oscillospira， and significantly decreased the relative abundance of Blautia （P＜0.05）. They also regulated metabolic disorders primarily by affecting secondary bile acid biosynthesis， fatty acid degradation， O-antigen nucleotide sugar biosynthesis， etc. Results of Western blot assay showed that they significantly reduced the phosphorylation levels of NF-κB p65 and NF-κB inhibitor α， and the protein expression levels of NLRP3， caspase-1 and ASC （P＜0.05 or P＜0.01）. CONCLUSIONS Jingangteng capsules could improve inflammation， lipid accumulation and liver injury in NAFLD rats， regulate the disorders of gut microbiota and metabolisms， and inhibit NF-κB/NLRP3 signaling pathway. Their therapeutic effects against NAFLD are mediated through the inhibition of the NF-κB/NLRP3 signaling pathway.

Background Maternal atmospheric pollution during pregnancy may alter fetal intrauterine development programming, thereby increasing the risk of childhood obesity in the future. Objective To investigate the effects of atmospheric pollution exposure during pregnancy on the incidence of childhood obesity in offspring. Methods English databases (PubMed, Web of Science, and Medline) and Chinese databases (Wanfang Data Knowledge Service Platform, China National Knowledge Infrastructure, and VIP Information Chinese Journal Service Platform) were searched for literature reporting exposure to atmospheric pollution during pregnancy and childhood obesity published from 1 January 2000 to 31 August 2023. The quality of the included literature was evaluated using the quality assessment tools for observational cohort and cross-sectional studies recommended by the US National Institutes of Health. Results Twenty-four studies meeting the inclusion criteria were identified and the associated atmospheric pollutants included particulate matter, ozone, nitrogen oxide, carbon oxide, and sulfur oxide. In comparison to the non-exposed group, prenatal exposure to various common atmospheric pollutants were significantly associated with an elevated risk of childhood obesity in offspring. Conclusion Maternal exposure to atmospheric pollution during pregnancy is associated with an elevated risk of childhood obesity in subsequent years. Future studies should pay more attention to the effects of atmospheric pollution on the distribution of children's body fat and metabolic development, and further identify potential mechanisms of atmospheric pollutant exposure leading to childhood obesity.

ObjectiveTo explore the method of optimizing the performance of traditional Chinese medicine （TCM） syndrome diagnostic models using Stacking ensemble learning. MethodsTaking the construction of TCM syndrome diagnostic model for lung cancer as an example， 2598 cases of clinical symptoms and signs from lung cancer patients in 9 hospitals were used as independent variables （i.e.， feature variables）， TCM syndrome information as dependent variables， and the clinical data were divided into training set and testing set in 8：2 ratio according to random number table method using Python 3.7 software. The stable features of TCM syndrome of lung cancer were screened using chi-square test， Spearman's correlation test， and Least Absolute Shrinkage and Selection Operator （LASSO） logistic regression analysis； nine machine learning algorithms are trained， including support vector machines （SVMs）， k-nearest neighbors （KNN） algorithm， Random Forest （RF）， Extremely Randomized Trees， Extreme Gradient Boosting （XGBoost）， Lightweight Gradient Boosting （LightGBM）， Adaptive Boosting （AdaBoost）， Gradient Boosting （GB） and the multi-layer perceptron （MLP）， to obtain 9 basic models. Four models with better performance were screened out from the above basic models and fused to form a fusion model by using the Stacking ensemble learning， and the fusion model was trained twice by the above nine machine learning algorithms and evaluated by accuracy rate， micro-average ROC curves， area under the curve （AUC）， and confusion matrix metrics， to screen the optimal diagnostic model. ResultsAfter data processing， 79 stable features and 13 TCM syndromes were obtained. In the basic model training， the comprehensive performance of RF， ExtraTrees， MLP and SVM basic models were better， so the predicted distributions of the syndromes of these four models were used as the secondary training data， and nine fusion models were obtained based on the Stacking ensemble learning （SVM， KNN， RF， ExtraTree， XGBoost， LightGBM， GB， AdaBoost， MLP）. Among them， the XGBoost fusion model performed the best， with an accuracy of 0.850 and 0.838 in the training set and test set， respectively， an overfitting difference of 0.012， and an area under the micro-average ROC curve of 0.996. All fusion models showed an improvement in accuracy and area under the micro-average ROC curve compared with the base model in the test set. ConclusionTaking the TCM syndrome information of lung cancer as an example， the XGBoost fusion model has significant advantages in improving the diagnostic performance of TCM syndrome information of lung cancer through Stacking ensemble learning. It can be seen that the advantages of Stacking ensemble learning to integrate multiple models and effectively improve the diagnostic efficiency of TCM diagnostic models， which provided a methodological reference for similar studies.

OBJECTIVE To establish UHPLC-ELSD fingerprint and multi-component content determination methods, compare the differences in sheep bile from different regions, and conduct antioxidant activity research to provide a basis for the in-depth development and utilization of sheep bile. METHODS Used UHPLC-ELSD method to establish 21 batches of bile fingerprints of sheep from different origins and conduct similarity analysis. Measured the content of 6 components, DPPH and ABTS free radical scavenging ability, iron ion reduction ability, and conducted entropy weighted TOPSIS and grey correlation analysis. RESULTS A total of 11 common peaks were identified in the fingerprint spectra of 21 batches of sheep bile. Through comparison with the control sample, 6 components were identified, including taurocholic acid(TCA), glycocholic acid(GCA), taurochenodeoxycholic acid(TCDCA), tauroursodeoxycholic acid(TDCA), glycodeoxycholic acid(GDCA), and cholic acid(CA). Except for 4 batches of samples, the similarity of the fingerprint spectra was greater than 0.90. The total content range of 6 components in the freeze-dried powder of 21 batches of sheep bile was 55.34% to 86.08%. The highest content of taurocholic acid ranged from 34.74% to 60.86%, indicating significant differences in the content of the six components in samples from different regions. Sheep bile from different regions had antioxidant activity, and there were also certain differences. The results of entropy weighted TOPSIS analysis using six component contents as variables showed that the top ten scoring groups were S2, S18, S16, S9, S8, S21, S1, S10, S20, and S15, indicating good quality and slightly better bile quality from sheep in the northern region. The grey correlation analysis results between the content of 6 components and 3 antioxidant indicators showed that all 6 components were correlated with each antioxidant indicator, and TCA, TDCA, and TCDCA had the highest correlation, which might be important components for sheep bile to exert antioxidant effects. CONCLUSION The use of entropy weighted TOPSIS and grey correlation analysis methods can effectively analyze the quality differences and antioxidant active components of sheep bile from different regions, providing scientific basis for its quality evaluation.

Objective To evaluate the antioxidant function of Chrysanthemum morifolium from different origins and to identify their antioxidant material basis.Methods The HPLC fingerprints of the water extracts of C.morifolium from different origins were established.The antioxidant activities of C.morifolium were assayed by measuring the 2.2-diphenyl-l-picrylhydrazyl(DPPH),hydroxyl radical,ABTS,superoxide anion radical scavenging capacity and ferric ion reducing capacity FRAP.Entropy-weighted TOPSIS was used to calculate the weighting coefficients of the single indexes.Grey relational analysis(GRA)and partial least squares were used for spectrum-effect analysis to identify the antioxidant material basis of C.morifolium.Results A total of 16 common peaks were discovered in the fingerprint of the water extracts of 10 batches of C.morifolium,among which 13 common components were identified.All the C.morifolium samples had good antioxidant capacity,and the results of entropy-weighted TOPSIS analysis showed that the ranking of total antioxidant potency of 10 batches of C.morifolium was follows:S1＞S8＞S3＞S5＞S4＞S10＞S7＞S2＞S9＞S6.The peaks of 1-5,9,10,12,14 were positively correlated with the antioxidant activity and the variable influence on projection(VIP)values were greater than 1.The correlation coefficients of these nine peaks in GRA were all greater than 0.7.Conclusion The entropy-weighted TOPSIS method combined with the spectrum-effect analysis could be used to screen out the antioxidant material basis of C.morifolium and the results provide a basis for establishing quality assessment system for C.morifolium based on Quality-markers thus improving the quality control level.

Objective To screen the anti-Helicobacter pylori gastritis active components of the ethyl acetate extract of Alpinia officinarum Hance.Methods The"knock-out"strategy combined with high-performance liquid chromatography(HPLC)detection was developed to separate the components of the ethyl acetate extract of A.officinarum while obtaining the negative samples without the components.A human gastric epithelial cell(GES-1)model of H.pylori gastritis was established,and the levels of interleukin-6(IL-6),tumor necrosis factor-α(TNF-α),interleukin-8(IL-8)and interleukin-1β(IL-1β)in the supernatant of the cells were determined by enzyme-linked immunosorbent assay(ELISA).Results The total flavonoid fraction,the negative fraction without total diphenylheptanoids,the negative fraction without 5-hydroxy-7-(4-hydroxy-3-methoxyphenyl)-1-phenyl-3-heptanone(DHPA),and galangin significantly reduced IL-6 levels in the supernatant of H.pylori infected GES-1 cells at a concentration of 8 μg·mL-1 with 24 h incubation.The total flavonoid fraction strongly inhibited the release of IL-6,TNF-α,IL-8,and IL-1β from H.pylori gastritis GES-1 cells at a concentration of 16 μg·mL-1.Conclusions The total flavonoid fraction is the major anti-H.pylori gastritis active component of the ethyl acetate extract of A.officinarum.The results lay the foundation for further elucidation of the material basis of A.officnarum against H.pylori gastritis.

Persistent Organic Pollutants (POPs) have the characteristics of resistance to environmental degradation, bioaccumulation and long-distance migration potential. Maternal exposure to POPs during pregnancy can enter the fetal blood circulation through the placental barrier, and have a potential impact on the functional development of the nervous system of the offspring. This in turn leads to the occurrence and development of neurological defects and diseases in adulthood. The purpose of this paper is to elucidate the effects of exposure to three major POPs (organochlorine compounds, perfluoroalkyl and polyfluoroalkyl substances, and polybrominated diphenyl ethers) during pregnancy on the functional development of the nervous system (social emotions, cognition, language, exercise, and adaptability) in children, and to provide reference for subsequent studies.

To have better clinical understanding of Schimke immuno-osseous dysplasia(SIOD) through analyzing the clinical features, treatment, and prognosis of four patients with SIOD.

Mutations in the SAMD9 and SAMD9L genes are associated with MIRAGE syndrome and ATXPC syndrome, respectively. This study reports the clinical characteristics and genetic analysis of one case with SAMD9 mutation (c.3809T > A, p.F1270Y) and two cases with SAMD9L mutations (c.2675T > G, p.M892R; c.1096T > G, p.F366V and c.4517T > C, p.L1506p), none of which have been previously reported. All patients presented with recurrent infections, growth retardation, and myelodys-plasia, with varying degrees of involvement of multiple systems, including respiratory, gastrointestinal, immune, endocrine, neurological, and reproductive systems. In terms of treatment, two patients underwent regular intravenous immunoglobulin and their clinical symptoms improved, while one patient had a favorable recovery following hematopoietic stem cell transplantation at the age of 1 year and 5 months of age. SAMD9/SAMD9L gene mutations, therefore, chould be considered in children with recurrent infections, myelodysplasia, pancytopenia, and growth retardation. Early genetic testing is crucial for timely diagnosis and treatment, which may improve patient outcomes.