ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveThis paper aims to explore the risk factors for chronic atrophic gastritis （CAG） with turbidity toxin accumulation syndrome and establish a prediction model. MethodsClinical data of 180 patients with CAG who participated in the "clinical study of Xianglian Huazhuo Particles blocking CAG cancer transformation" of Hebei Sheng Zhong Yi Yuan from July 2021 to March 2022 were collected. After confounding factors were controlled by propensity score matching， patients were divided into a training set （namely dev） and a validation set （namely vad） in a seven to three ratio. The risk factors for CAG with turbidity toxin accumulation syndrome in the training set were investigated by using univariate Logistic regression analysis and least absolute shrinkage and selection operator （namely Lasso） regression algorithms. Subsequently， a model， named model 1se， was developed by using the training set data to predict the risk factors for CAG with turbidity toxin accumulation syndrome. The accuracy of the prediction model was assessed by using various methods， including the receiver operating characteristic （ROC） curve， Hosmer-Lemeshow test （H-L）， calibration plot， and decision curve analysis （DCA）. ResultsAge， body mass index （BMI）， family history of cancer， job and life satisfaction， yellow and greasy fur with slippery pulse， and heavy body sensation were independent risk factors of the model. The prediction model showed excellent predictive value for both the training and validation sets. ConclusionThe established prediction model for CAG with turbidity toxin accumulation syndrome has high discrimination and excellent calibration， which could provide an excellent clinical basis for disease diagnosis and individualized treatment of patients.

ObjectiveTo study the pharmacological substances and mechanisms through which sesquiterpene ZH-13 from Aquilariae Lignum Resinatum improves neuroinflammation. MethodsBV-2 microglial cells were stimulated with lipopolysaccharide （LPS） to induce neuroinflammation. The cells were divided into the normal group， the model group， and the ZH-13 low- and high-dose treatment groups （10， 20 μmol·L^-1）. The model group was treated with 1 μmol·L^-1 LPS. Cell viability was assessed using the cell proliferation and activity assay （CCK-8 kit）. Nitric oxide （NO） release in the cell supernatant was measured using a nitric oxide kit （Griess method）. The mRNA expression levels of interleukin-1β （IL-1β）， tumor necrosis factor-α （TNF-α）， inducible nitric oxide synthase （iNOS）， and interleukin-6 （IL-6） were detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR）. The phosphorylation of mitogen-activated protein kinase （MAPK） pathway proteins was assessed by Western blot. ResultsCompared with the model group， ZH-13 dose-dependently reduced NO release from BV-2 cells under LPS stimulation （P<0.05， P<0.01）. In the 20 μmol·L^-1 ZH-13 treatment group， the mRNA expression levels of IL-1β， TNF-α， iNOS， and IL-6 were significantly reduced compared to the model group （P<0.05， P<0.01）. In both the low- and high-dose ZH-13 groups， the expression of the inflammatory factor TNF-α and the phosphorylation of c-Jun N-terminal kinase （JNK） in the upstream MAPK pathway were significantly reduced （P<0.05）. After stimulation with the JNK agonist anisomycin （Ani）， both low- and high-dose ZH-13 treatment groups showed reduced phosphorylation of JNK proteins compared to the Ani-treated group （P<0.01）. ConclusionThe sesquiterpene compound ZH-13 from Aquilariae Lignum Resinatum significantly ameliorates LPS-induced neuroinflammatory responses in BV-2 cells by inhibiting excessive JNK phosphorylation and reducing TNF-α expression. These findings elucidate the pharmacological substances and mechanisms underlying the sedative and calming effects of Aquilariae Lignum Resinatum.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Severe pneumonia is one of the most common and critical respiratory diseases in clinical practice. It is characterized by rapid progression， difficult treatment， high mortality， and many complications， posing a significant threat to the life and health of patients. The pathogenesis of severe pneumonia is highly complex， and studies have shown that its occurrence and development are closely related to multiple signaling pathways. Currently， the treatment of severe pneumonia mainly focuses on anti-infection， mechanical ventilation， and glucocorticoids， but clinical outcomes are often not ideal. Therefore， finding safe and effective alternative therapies is particularly important. In recent years， with the deepening of research into traditional Chinese medicine （TCM）， it has gained widespread attention in the treatment of severe pneumonia. This paper reviewed the relationship between severe pneumonia and relevant signaling pathways in recent years and how TCM regulated these pathways in the treatment of severe pneumonia. It was found that TCM could regulate the Toll-like receptor 4 （TLR4）/myeloid differentiation factor 88 （MyD88）/nuclear factor-κB （NF-κB）， Janus kinase （JAK）/signal transducer and activator of transcription （STAT）， phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/mammalian target of rapamycin （mTOR）， NOD-like receptor protein 3 （NLRP3）， and nuclear factor E₂-related factor 2 （Nrf2） signaling pathways， playing a role in reducing the inflammatory response， inhibiting cell apoptosis and pyroptosis， improving oxidative stress， and other effects in the treatment of severe pneumonia. Among these pathways， it was found that all of them regulated inflammation to treat severe pneumonia. Therefore， reducing inflammation is the core mechanism by which Chinese medicine treats severe pneumonia. This review provides direction for the clinical treatment of severe pneumonia and offers a scientific basis for the research and development of new drugs.

ObjectiveTo elucidate the correlation between alterations in digestion and absorption functions and hepatic deficiency states in aging rats based on the R-spondin1/Wnt3a signaling pathway， and reveal the intervention mechanism of Bugansan. MethodsForty-eight SPF-grade male SD rats were randomly assigned to six groups： blank control， model， low-， medium-， and high-dose （7.03， 14.06， 28.12 g·kg^-1， respectively） Bugansan， and vitamin E （suspension， 27 mg·kg^-1）， with 8 rats in each group. The rat model of aging was established by intraperitoneal injection of D-galactose （400 mg·kg^-1）， while the blank control group was injected with normal saline. Since the day of modeling， rats in intervention groups received corresponding agents by gavage， and those in blank control and model groups received an equal volume of normal saline （10 mL·kg^-1）. General biological features such as fur color， activity， body mass， water intake， and food intake were observed. Meanwhile， the content of malondialdehyde （MDA） and the activities of superoxide dismutase （SOD） and glutathione peroxidase （GSH-Px） in the serum were measured to assess aging. Grip strength and the content of total bile acids （TBA） and the activity of α-amylase （AMY） in the serum were measured to evaluate hepatic deficiency states. The activity of β-galactosidase （β-gal） in the duodenum was measured to evaluate intestinal senescence. The levels of glucagon-like peptide-1 （GLP-1）， vasoactive intestinal peptide （VIP）， and D-xylose in the serum were determined to assess digestion and absorption functions of the small intestine. Hematoxylin-eosin staining was conducted to observe pathological changes of the duodenum to assess the small intestine damage. Immunohistochemical staining was employed to visualize the expression of B-cell-specific Moloney murine leukemia virus integration site 1 （Bmi1） and leucine-rich repeat-containing G protein-coupled receptor 5 （Lgr5） in the duodenal tissue. Moreover， Real-time quantitative polymerase chain reaction （Real-time PCR） was utilized to quantify the mRNA levels of Ki67， Bmi1， and Lgr5 to assess proliferation and regeneration of the small intestine. Additionally， the mRNA levels of R-spondin1， Wnt3a， β-catenin， and glycogen synthase kinase-3β （GSK-3β） and the protein levels of R-spondin1， Wnt3a， β-catenin， and phosphorylated GSK-3β （p-GSK-3β） in the duodenum were determined by Real-time PCR and Western blot， respectively， to analyze the mechanisms of intestinal digestion and absorption dysfunction in aging rats and the regulatory characteristics of Bugansan. ResultsCompared with blank control group， the model group showed decreases in body mass， water intake， food intake， grip strength， activities of SOD， GSH-Px， and AMY in the serum and content of GLP-1， VIP and D-xylose in the serum （P<0.05）， increases in the content of MDA and TBA in the serum and β-gal activity in the duodenum （P<0.05）， reductions in villus length， villus width， crypt depth， and villi/crypt （V/C） value， down-regulated mRNA and protein levels of Ki67， Lgr5， Bmi1， R-spondin1， Wnt3a， β-catenin， and up-regulated level of GSK-3β， phosphorylation （p）-GSK-3β （P<0.05）. Compared with the model group， Bugansan increased the body mass， water intake， food intake， grip strength， and activities of SOD， GSH-Px， and AMY and levels of GLP-1， VIP and D-xylose in the serum （P<0.05）， while decreasing the content of MDA and TBA in the serum and β-gal activity in the duodenum （P<0.05）. Furthermore， Bugansan increased the villus length， villus width， crypt depth， and V/C value， up-regulated the mRNA and protein levels of Ki67， Lgr5， Bmi1， R-spondin1， Wnt3a， β-catenin， and down-regulated the level of GSK-3β and p-GSK-3β （P<0.05）. ConclusionAging rats exhibit obvious impairments in digestion and absorption functions， accompanied by a state of hepatic deficiency. The traditional Chinese medicine approach of tonifying liver Qi effectively ameliorates aging-related changes by modulating the R-spondin1/Wnt3a signaling pathway to mitigate intestinal senescence and enhance digestion and absorption functions， ultimately contributing to the delay of aging.

Objective To assess the effect of early nutritional intervention on the patients with respiratory diseases at nutritional risk. Methods A total of 130 patients with respiratory disease who were hospitalized in Shanghai Fifth People’s Hospital, Fudan University between May 2023 and December 2024 and had a nutritional risk screening 2002 score ≥3 points. Based on the initiation time of nutritional intervention, patients were divided into an early group (≤5 days, n＝65) and a late group (＞5 days, n＝65). Results In the early group, prealbumin (P-ALB) and retinol-binding protein (RBP) levels were significantly higher (P＜0.01), C-reactive protein (CRP), procalcitonin (PCT) levels were significantly lower after intervention (P＜0.05). Compared with the late group, the hospital costs were lower and hospital stays were shorter in the early group (P＜0.001). Spearman analysis showed ALB, P-ALB, and total protein (TP) were negatively correlated with hospital costs (r＝－0.37, －0.20, and－0.22, P＜0.05). RBP, ALB, P-ALB, and lymphocyte count (LYM) were negatively correlated with CRP (r＝－0.30, －0.26, －0.37, －0.18, P＜0.01), RBP, ALB, P-ALB, hemoglobin (HB), and TP were negatively correlated with PCT (r＝－0.23,－0.36, －0.40, －0.30, －0.19, P＜0.05). Conclusions For patients with respiratory diseases, early nutritional assessment should be underwent, and for patients with nutritional risk screening 2002 score ≥3 points, early nutritional intervention could improve the nutritional status and alleviate inflammatory response, promote recovery, shorten the hospital stays.

A 20-year-old male patient presented to the Department of Dermatology of Peking Union Medical College Hospital with complaints of an 8-year history of facial scarring, swelling of the lower limbs, and a 4-year history of scalp thickening. Physical examination showed thickening furrowing wrinkling of the skin on the face and behind the ears, ciliary body hirsutism, blepharoptosis, and cutis verticis gyrate. Both lower limbs were swollen, especially the knees and ankles. The skin of the palms and soles of the feet was keratinized and thickened. Laboratory examination using bone and joint X-ray showed periostosis of the proximal middle phalanges and metacarpals of both hands, distal ulna and radius, tibia and fibula, distal femurs, and metatarsals.Genetic testing revealed two variants in SLCO2A1, c.1658T > A and c.96+4A > C.Through multidisciplinary consultation, we confirmed the diagnosis of pachydermoperiostosis.

Objective To evaluate the accuracy of dose-length product (DLP) values in CT dose reports by comparing them with the DLP values measured using a pencil-type ionization chamber. Methods Experiments were conducted using four CT scanners with different detector row numbers from two manufacturers (A and B), along with a head phantom and a pencil-type ionization chamber. Other scanning parameters were fixed, while pairwise combinations of kV and mAs were tested. The DLP values were measured under various scanning conditions using the pencil-type ionization chamber (DLP_measured) and the corresponding DLP values in CT dose reports were recorded (DLP_reported). All data were subjected to statistical analysis. Results Differences were observed between DLP_reported and DLP_measured values. The smallest mean absolute value of ΔDLP was approximately 2.526 mGy·cm observed on the 40-row CT scanner of manufacturer A. There was a difference between the ΔDLPs of the four CT scanners. Both DLP_reported and DLP_measured exhibited a linear relationship with mAs. Conclusion The percentage errors between DLP_reported and DLP_measured values for all four CT scanners were within the national standard tolerance of 15%. DLP values in CT dose reports can serve as a reference for assessing patient radiation dose during scanning. However, for radiation dose-related research, data measured using dosimetric instruments such as pencil-type ionization chamber are recommended.

Objective: To analyze the epidemiological characteristics of mumps in Shanxi Province from 2014 to 2023, so as to provide scientific evidence for targeted prevention strategies. Methods: Mumps case data in Shanxi Province were obtained from the China Information System for Disease Prevention and Control. Descriptive epidemiological analysis and age-period-cohort (APC) analysis were carried out on the reported incidence of mumps from 2014 to 2023. Results: A total of 44 360 mumps cases were reported in Shanxi Province from 2014 to 2023, with an average annual incidence rate of 11.78/100 000. The incidence rates were high during 2017-2019, which were 21.00/100 000, 16.76/100 000, and 19.51/100 000, respectively. Males had a higher incidence rate (13.50/100 000) than females (9.98/100 000). Children aged 5-9 years were the most affected group, accounting for 47.29% of total cases. In 2017 and 2019, incidence rates among the 5-15-year-old group were particularly high, reaching 155.08/100 000 and 131.78/100 000, respectively. The APC model age effect, period effect and cohort effect of the reported incidence rate in the high-incidence population aged 0-20 years all had statistical significance ( P <0.05). The age-relative risk ( RR ) decreased from 1.75 in the 0-year-old group to 0.33 in the 20-year-old group, and the birth cohort RR decreased from 2.58 in 1994 to 0.26 in 2023. The morbidity risk of the population aged 0-20 years showed a trend of first increasing and then decreasing over time, among which it was the highest in 2017 ( RR =1.23) and the lowest in 2023 ( RR =0.29). Conclusions Shanxi exhibits cyclical mumps epidemics, with school-aged children as the high-risk population. School health management work should be carried out, and the surveillance of mumps in high-risk areas and the routine vaccination of two doses of mumps-containing vaccines for eligible children should be strengthened.