Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Objective:To explore the key components and mechanism of Qufeng Ningfei Powder in treating asthma through qualitative analysis of its blood components, combined with network pharmacology and molecular docking techniques.Methods:The blood components of Qufeng Ningfei Powder were qualitatively analyzed using UPLC-QE-Orbitrap-MS technology. R language was employed to analyze chip data from the GEO database, obtaining a list of differentially expressed genes. SwissTargetPrediction was utilized to predict the targets of drug components. Asthma-related targets were searched through databases such as OMIM, GeneCards, and TTD. The intersection of drug and disease targets was identified using Venn online analysis tool, constructing a "drug-component-target-disease" network to screen potential core components. A protein-protein interaction network (PPI) of core targets was constructed using STRING platform and Cytoscape software. GO function enrichment and KEGG pathway analysis were conducted using DAVID database to validate potential mechanism. Molecular docking was performed to verify the interaction between key components and core targets.Results:A total of 64 components were identified, from which 53 active components were screened, corresponding to 609 targets. Further searching disease databases revealed 96 target genes related to asthma, with an intersection of 6 genes between drug and asthma differential genes. Core target gene IL6 and its corresponding core compound were determined through network topology analysis. Molecular docking confirmed the binding of the main active components of Qufeng Ningfei Powder with the core target protein IL6.Conclusion:The blood components of Qufeng Ningfei Powder may regulate IL-17 through IL6, counteract airway remodeling, oxidative stress, and airway hyperresponsiveness, and thus treat asthma.

Objective:To establish a mass spectrometry method for the determination of characteristic peptides of Galli Gigerii Endothelium Corneum that can identify the authenticity of Galli Gigerii Endothelium Corneum as well as its preparations; To evaluate their quality.Methods:Ultra performance chromatography-electrospray tandem mass spectrometry (UPLC-MS/MS) with the mode of multiple reaction monitoring quantification (MRM) was employed to monitor the ion pairs of m/z 379.21(charge: +2)→571.36, m/z 379.21(charge: +2)→385.26, m/z 785.41(charge: +2)→941.51 and m/z 785.41(charge: +2)→245.08, in order to detect the Galli Gigerii Endothelium Corneum crude drug and its preparations. Results:Chicken specific peptide I and chicken specific peptide Ⅱ could be detected in the 18 batches of Galli Gigerii Endothelium Corneum from different regions, their corresponding extractions and 4 batches of prescription preparations, while the chicken specific peptides were not detected in the 8 batches of endothelium corneums from ducks, geese and pigeons.Conclusions:The method established in this study can effectively supplement the deficiencies in standards of Galli Gigerii Endothelium Corneum and its decoction pieces, improve the quality control standard, and provide a reference for the safety and effectiveness of Galli Gigerii Endothelium Corneum in clinical medication.

Objective:To establish a method for the identification of Qianghuo (Notopterygii Rhizoma et Radix) dispensing granules with PCR for the identification of dispensing granules.Methods:The collected samples were identified by DNA bar code, and the methods of extracting genomic DNA from Notopterygii Rhizoma et Radix, Qianghuo standard decoction and dispensing granules were established. Specific differential primers were designed based on ITS2 sequence, and the PCR amplification system and reaction conditions were optimized.Results:The PCR amplification system and reaction conditions were determined. The target bands of about 216 bp were obtained by amplification of Notopterygii Rhizoma et Radix, Qianghuo standard decoction and dispensing granules, and there was no interference from counterfeit products and blank.Conclusions:The specific PCR identification method of Qianghuo (Notopterygii Rhizoma et Radix) dispensing granules is established, which has good specificity. The detection limit of Notopterygii Rhizoma et Radix is 0.91 ng, and the detection limit of dispensing granules is 7.36 ng, which also provides a reference for the identification of other kinds of TCM dispensing granules.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

ObjectiveTo establish a method for the identification of Haliotidis Concha and its counterfeits， and to improve its quality evaluation method. MethodsA total of 17 batches of Haliotis discus hannai， 4 batches of H. ruber， 3 batches of H. laevigata， 3 batches of H. ovina， 3 batches of H. diversicolor， 3 batches of H. asinina， 3 batches of H. iris were collected. Ultra-high performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry（UPLC-Q-Exactive-Orbitrap-MS/MS） was used to analyze the hydrolysates of different original Haliotidis Concha and its counterfeits， and the potential characteristic ions of each species were screened by Venn diagram. UPLC-triple quadrupole tandem mass spectrometry（UPLC-QqQ-MS/MS） was used to validate the characteristic ions， and the specific detection method of the characteristic ions was established. ResultsA total of 1 182， 167， 47， 89， 104， 203， 424 potential characteristic ions were screened from H. discus hannai， H. ruber， H. laevigata， H. ovina， H. diversicolor， H. asinina and H. iris， respectively. And 9 characteristic ions were selected. The precision， stability and repeatability of the 9 characteristic ions in the established identification method met the requirements. Different original Haliotidis Concha and its counterfeits could detect their own characteristic ions， including m/z 631.83-886.48（double charge） and m/z 631.83-443.74（double charge） of H. discus hannai， m/z 699.28-232.11（double charge） and m/z 699.28-544.27（double charge） of H. ruber， m/z 535.76-752.37（double charge） and m/z 535.76-548.28（double charge） of H. laevigata， m/z 708.35-442.28（double charge） and m/z 708.35-215.14（double charge） of H. ovina， m/z 561.33-614.86（triple charge）， m/z 561.33-468.28（triple charge）， m/z 608.29-618.32（double charge） and m/z 608.29-390.21（double charge） of H. diversicolor， m/z 769.85-274.10（double charge）， m/z 769.85-532.75（double charge）， m/z 827.43-646.36（single charge）， m/z 827.43-257.12（single charge） of H. asinina， and m/z 468.24-576.29（double charge） and m/z 468.24-505.26（double charge） of H. iris. ConclusionIn this study， a total of 9 characteristic ions are screened from 6 kinds of original Haliotidis Concha and its counterfeits， and a specific identification method is established， which is helpful to solve the limitations of the existing quality evaluation methods of Haliotidis Concha， and provide a basis for the production， circulation and medication quality.

Objective To compare the analgesic effects and adverse reactions between intercostal nerve block (ICNB) and patient controlled intravenous analgesia (PCIA). Methods From August 2022 to January 2023, 180 patients with lung cancer who underwent thoracoscopic surgery were randomly divided into two groups: ICNB group (n=90) and PCIA group (n=90). The postoperative pain degree (VAS), location, nature; adverse events, such as nausea, vomiting, and dizziness; and other clinical symptoms were analyzed. Results The most common site of postoperative pain in both groups was surgical incision, and the nature of pain was distending pain. At 12 and 24 h after the operation, the pain degree in the ICNB group (1.10±0.91, 3.12±1.29) was markedly lower than that in PCIA group (1.44±0.86, 4.32±1.30, P=0.010, P<0.001). The incidence of nausea, vomiting, and dizziness in the ICNB group (5.56%, 23.33%) was noticeably lower than that in the PCIA group (35.56%, 51.11%, P<0.001, P<0.001). Total hospitalization expense in the ICNB group (41 043.16±10 885.63 yuan) was significantly lower than that in PCIA group (45 283.99±11 036.36 yuan, P=0.010). Conclusion The analgesic effect of intercostal nerve block is better than that of patient-controlled intravenous analgesia pump in patients with lung cancer after minimally invasive surgery, and the incidence of adverse reactions is low.

BACKGROUND: Ferroptosis-related genes play a crucial role in regulating intracellular iron homeostasis and lipid peroxidation, and they are involved in the regulation of tumor growth and drug resistance. The expression of ferroptosis-related genes in tumor tissues can be used to predict patients' future survival times, aiding doctors and patients in anticipating disease progression. Based on the sequencing data of lung adenocarcinoma (LUAD) patients from The Cancer Genome Atlas (TCGA) database, this study identified genes involved in the regulation of ferroptosis, constructed a prognostic model, and evaluated the predictive performance of the model. METHODS: A total of 1467 ferroptosis-related genes were obtained from the GeneCards database. Gene expression profiles and clinical data from 541 LUAD patients were collected from the TCGA database. The expression data of all ferroptosis-related genes were extracted, and differentially expressed genes were identified using R software. Survival analysis was performed on these genes to screen for those with prognostic value. Subsequently, a prognostic risk scoring model for ferroptosis-related genes was constructed using LASSO regression model. Each LUAD patient sample was scored, and the patients were divided into high-risk and low-risk groups based on the median score. Receiver operating characteristic (ROC) curves were plotted, and the area under the curve (AUC) was calculated. Kaplan-Meier survival curves were generated to assess model performance, followed by validation in an external dataset. Finally, univariate and multivariate Cox regression analyses were conducted to evaluate the independent prognostic value and clinical relevance of the model. RESULTS: Through survival analysis, 121 ferroptosis-related genes associated with prognosis were initially identified. Based on this, a LUAD prognostic risk scoring model was constructed using 12 ferroptosis-related genes (ALG3, C1QTNF6, CCT6A, GLS2, KRT6A, LDHA, NUPR1, OGFRP1, PCSK9, TRIM6, IGF2BP1 and MIR31HG). The results indicated that patients in the high-risk group had significantly shorter survival time than those in the low-risk group (P<0.001), and the model demonstrated good predictive performance in both the training set (1-yr AUC=0.721) and the external validation set (1-yr AUC=0.768). Risk scores were significantly associated with the prognosis of LUAD patients in both univariate and multivariate Cox regression analyses (P<0.001), suggesting that this score is an important prognostic factor for LUAD patients. CONCLUSIONS This study successfully established a LUAD risk scoring model composed of 12 ferroptosis-related genes. In the future, this model is expected to be used in conjunction with the tumor-node-metastasis (TNM) staging system for prognostic predictions in LUAD patients.
Humans ; Ferroptosis/genetics* ; Prognosis ; Adenocarcinoma of Lung/pathology* ; Lung Neoplasms/pathology* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Middle Aged ; ROC Curve

BACKGROUND:Traditional Chinese medicine has unique advantages in preventing and treating spleen-deficiency and hyperlipidemia.In basic studies,models of spleen-deficiency and hyperlipidemia are commonly found in rats,pigs,and other animals.This has limitations for medical research that can only use mouse models.It is urgent to establish and evaluate mouse models of spleen-deficiency and hyperlipidemia to support basic research on traditional Chinese medicine in preventing and treating spleen-deficiency and hyperlipidemia.OBJECTIVE:To establish a mouse model of spleen-deficiency hyperlipidemia.METHODS:Totally 24 C57BL/6J mice were randomly divided into normal group(n=12)and spleen-deficiency hyperlipemia group(n=12).Mice in normal group were fed basic diet.Mice in the spleen-deficiency hyperlipemia group were prepared with a diet disorder+fatigue internal injury+high-fat feeding method to establish a spleen-deficiency high-fat model.In the first 2 weeks,the mice were forced to swim to their endurance limit on a single day and were only fed cabbage,with free access to water.They were also gavaged with refined lard+high-fat feed on two-day intervals.After 2 weeks,the mice were fed a high-fat diet every day and the diet continued until 12 weeks.The mice were fed with a high-fat diet for 4 and 12 weeks,and their body weight,food intake,gripping strength,fecal water content,small intestinal charcoal propulsion rate,serum D-xylose and gastrin levels,spleen index and thymus index,blood lipid level,total body fat mass,body fat percentage,and liver lipid deposition were tested.RESULTS AND CONCLUSION:(1)Compared with the normal group,the body weight,fecal water content,total body fat mass,body fat percentage,triglyceride and total cholesterol levels of the mice in the spleen-deficiency hyperlipemia group fed with high-fat diet for 4 and 12 weeks were increased(P＜0.05);the daily food intake,gripping force,and D-xylose level of the mice fed with high-fat diet for 4 and 12 weeks were decreased(P＜0.05);the spleen index of the mice fed with high-fat diet for 4 weeks was increased(P＜0.05);the small intestinal carbon propulsion rate,gastrin level,spleen index,and thymus index of the mice fed with high-fat diet for 12 weeks were decreased(P＜0.05);the low-density lipoprotein cholesterol level of the mice fed with high-fat diet for 12 weeks was increased(P＜0.05).(2)The results of liver oil red O staining showed that the lipid deposition in the spleen-deficiency hyperlipemia group after 4 weeks of high-fat diet feeding was slightly more than that in the normal group,and the lipid deposition in the high-fat diet feeding for 12 weeks was significantly more than that in the normal group.(3)The results show that a stable spleen deficiency and hyperlipidemia mouse model can be prepared by the compound method of eating disorders,exhaustion,and high-fat feeding.

Objective To explore the potential categories of exercise perception in elderly hip arthroplasty(HA)patients,analyze the prediction factors of different categories,and provide references for clinical nursing.Methods A convenience sampling method was used to select elderly HA patients treated in 6 orthopedic wards of 2 tertiary A hospitals in Guilin from October 2024 to February 2025.The general data questionnaire,Exercise Benefits and Barriers Perception Scale for Hip/Knee Throplasty Patients,Tampa Scale of Kinesiophobia,the 5-Factor Modified Frailty Index,and Self-Efficacy for Rehabilitation Outcome Scale were used for investigation.Latent profile analysis was used to identify the potential categories of exercise perception of elderly HA patients,and decision tree model was used to explore the core predictive factors of different profile.Results 222 valid questionnaires were collected,with an effective response rate of 96.52％.A total of 222 elderly HA patients were divided into 3 profiles:high benefit-low barrier group(19.82％),low benefit-high barrier group(22.07％),and mild barrier group(58.11％).Frailty,kinesophobia,rehabilitation self-efficacy,residence,educational level and daily exercise were significant predictors of latent profiles(P＜0.05),and the frailty was located in the root node of the decision tree model.Conclusion The level of exercise perception in elderly HA patients needs to be improved,and shows population heterogeneity.Medical staff should prioritize interventions for low benefit-high barrier and mild-barrier groups,implementing targeted strategies based on profile characteristics and predictive factors to improve their exercise perception.