Background Microparticles (MPs) are one of the main medium of inflammatory reaction with an important role in atherosclerotic progression. Studies on association of air pollution exposure and levels of peripheral blood MPs are limited among human. Objective To evaluate the effects of short-term exposure to air pollution on levels of peripheral blood MPs. Method A panel of 73 healthy adults was followed with 4 repeated follow-ups in Beijing, China, from November 2014 to January 2016. During each visit, we collected questionnaire information, fasting venous blood, urine, and exposures to fine particulate matter (PM_2.5), black carbon, nitric oxide, nitrogen dioxide, nitrogen oxide, sulfur dioxide, carbon monoxide, and ozone. We used linear mixed-effect models to analyze associations of air pollution exposure with levels of total MPs (TMPs) and MPs derived from various cells. Stratified analysis was conducted by levels of C-reactive protein (CRP) and malondialdehyde (MDA). Results The results showed significant associations between air pollution exposure and peripheral blood TMPs at 2 h-6 d prior to the follow-ups (P<0.05), while no statistical associations were found for MPs derived from different cell types. Significant increases in TMPs of 7.8% (95%CI: 0.7%, 15.3%) and 14.3% (95%CI: 2.8%, 27.2%) were observed with each interquartile range (IQR) increase in PM_2.5 (IQR=64.9 μg·m⁻³) at prior 18 h and NO (IQR=40.5 μg·m⁻³) at prior 48 h. Among participants with low levels of CRP and MDA, significantly positive associations were observed between air pollution exposure and levels of TMPs (P<0.05). Conclusion Short-term exposure to air pollution is significantly associated with increased levels of circulating MPs in healthy adults, and in people with lower systemic inflammation, peripheral blood MPs levels are more easily affected after exposure to air pollutants.

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 screen a set of short tandem repeat (STR) markers covering rat chromosomes 1-20 and the X chromosome, with 2-4 markers on each chromosome, and establish a dedicated marker panel for genetic contamination detection and strain identification of 5 commonly used inbred rat strains. MethodsSix 6-8 week-old rats (half male and half female) were selected from F344, BN, DA, Lewis, and PVG strain, respectively. Genomic DNA was extracted from rat tail tissues. A total of 61 STR markers were selected, including 27 from the national standard GB 14923—2022 and 34 from the literature. Singleplex STR PCR amplification combined with capillary electrophoresis was used for genotyping of the 5 inbred rat strains, and genotype data were analyzed using GeneMapper ID v3.2 software. Based on the STR genotyping results, genetic distances between strains were calculated with GenAlEx 6.51b2 software, and a phylogenetic tree of the inbred rat strains was constructed using MEGA7 software. ResultsAmong the 61 STR markers, non-specific amplification was observed for D15mit3, while no specific amplification product was obtained for D3wox7. LCA, AGT, and D5Hmgc2 exhibited no inter-strain polymorphism across the 5 inbred strains, while the remaining 56 markers exhibited inter-strain polymorphism. These 56 markers covered rat chromosomes 1-20 and the X chromosome (2-4 markers per chromosome). Among them, 42 markers could be used for genetic contamination detection in inbred rat strains. The amplified product lengths of D7wox14, D15rat123, and D20wox3 differed among the 5 strains, which could be applied for strain identification. The phylogenetic tree showed that the number of STR allelic differences between BN and F344 strains was 49, with a genetic distance of 1.775, both of which were the highest among all strain pairs. This indicated that the two strains exhibited the highest level of genetic differentiation and were the most distantly related. Among the 5 strains, F344, DA, and PVG clustered together, indicating their relatively close genetic distance, while BN and Lewis formed another cluster, indicating a relatively close genetic distance between them. The genetic relationships among the 5 strains were consistent with previous reports. ConclusionThis study successfully screened a set of STR markers for molecular genetic detection of 5 commonly used inbred rat strains, including F344, BN, DA, Lewis, and PVG, and established specific marker combinations for genetic contamination detection and strain identification, respectively.

OBJECTIVE To investigate the effects of MIR149 rs2292832 and MIR499 rs3746444 gene polymorphisms on the efficacy of tofacitinib combined with iguratimod in the treatment of moderate‑to‑severe rheumatoid arthritis （RA）， to provide genetic reference for individualized treatment of moderate‑to‑severe RA patients.METHODS This was a prospective cohort study， and patients were grouped according to genotyping results. A total of 320 patients with moderate-to-severe RA diagnosed in the department of immunology of our hospital between January 2023 and January 2024 were enrolled. All patients received standardized treatment with tofacitinib （5 mg twice daily） combined with iguratimod （25 mg twice daily） for 24 weeks treatment course. Clinical efficacy outcomes， including American College of Rheumatology （ACR） 20/50/70 responses， disease activity score‑28 based on C‑reactive protein （DAS28-CRP）， erythrocyte sedimentation rate （ESR） and C-reactive protein （CRP）， were compared among patients with different genotypes. Combined-genotype analysis and multivariate Logistic regression analysis were also performed.RESULTS The MIR149 rs2292832 CC-genotype patients exhibited significantly higher ACR20， ACR50 and ACR70 response rates （88.90%， 67.78%， 45.56%） than those carrying CT- and TT-genotypes （ P ＜0.05）. After 24 weeks treatment， the reductions in DAS28‑CRP， ESR and CRP were significantly greater in CC‑genotype patients than in CT‑ and TT‑genotype patients （ P ＜0.05）， and the 24‑week DAS28‑CRP was significantly lower in the CC‑genotype patients than in CT‑ and TT‑genotype patients （ P ＜0.05）. The MIR499 rs3746444 GG-genotype showed significantly higher ACR20， ACR50 and ACR70 response rates （91.46%， 73.17%， 52.44%） than those carrying AG‑ and AA‑genotypes （ P ＜0.05）. After 24 weeks of treatment， the reductions in DAS28‑CRP， ESR and CRP were significantly greater in GG‑genotype patients than in AG- and AA-genotype patients and the 24‑weeks DAS28‑CRP was significantly lower in the GG‑genotype patients than in AG- and AA-genotype patients （ P ＜0.05）. Among the nine combined‑genotyps， the CC+GG genotype yielded the best treatment response. The MIR149 rs2292832 CC and MIR499 rs3746444 GG genotypes were independent predictors of clinical remission （ P ＜0.01）， whereas baseline DAS28‑CRP ≥ 6.5 served as a negative predictor of clinical remission （ P ＜0.05）.CONCLUSIONS Gene polymorphisms of MIR149 rs2292832 and MIR499 rs3746444 significantly influence the therapeutic effect of tofacitinib combined with iguratimod in patients with moderate-to-severe RA. Patients carrying CC and GG genotypes achieve better treatment responses.

Objective To evaluate the efficacy and safety of using stent semi-retrieval technique during mechanical thrombectomy(MT)for acute anterior cerebral artery(ACA)occlusion.Methods We made a retrospective analysis of 38 patients with acute ACA occlusion treated by stent semi-retrieval technique at Tangdu Hospital and Xi'an No.1 Hospital from June 2019 to September 2023.The successful recanalization,first-pass effect(FPE),perioperative complications and postoperative recovery of all the patients were analyzed.Modified thrombolytic test in cerebral infarction(mTICI)was used to evaluate the recanalization(unsuccessful recanalization,mTICI 0-2a;successful recanalization,mTICI 2b-3).FPE was defined as mTICI 3 after one thrombectomy.The clinical outcome was evaluated by modified Rankin Scale(mRS)3 months postoperatively.A good prognosis was defined as a mRS 0-2.Results Of the 38 patients,36(94.7％)got successful recanalization(mTICI 2b-3),with an FPE of 73.7％(28/38).Two cases of mild vascular spasm(5.3％)occurred during the mechanical thrombectomy,which completely relieved without further treatment.None of the 38 patients experienced vascular rupture or dissection,and no thrombus escaped during the thrombus removal process.There was no subarachnoid hemorrhage or parenchymal hemorrhage in the area related to ACA occlusion.Ninety days after operation,14 cases(36.8％)reached good outcome(mRS 0-2),18 cases(47.4％)reached mRS 3-5,and 6 cases(15.8％)died.Conclusion Our preliminary experience suggests that the stent semi-retrieval technique may be a safe and effective method for treating acute anterior cerebral artery occlusion.

Objective To measure the three-dimensional(3D)motion of the knee joint in healthy people and patients after total knee arthroplasty(TKA).Methods The coordinate system for the tibia and femur of the knee joint was established,and the marking points were pasted at the bone landmarks.Then the 3D motion of human knee joint was measured by biplane high-speed photogrammetry,and the data were processed according to the coordinate transformation.Results The peak values of adduction and abduction,internal and external rotation,internal and external translation,and proximal and distal movement of the artificial knee joint were larger than those of the healthy knee joint(P<0.05),but there was no statitistic difference in posterior displacement between the artificial and healthy knee joints(P=0.05).Conclusions By measuring the knee joint motion,not only the difference in knee joint motion between the healthy volunteers and TKA patients was revealed,but also the effectiveness of biplane high-speed photography in knee joint kinematic measurement was demonstrated.

Objective To evaluate the efficacy and safety of using stent semi-retrieval technique during mechanical thrombectomy(MT)for acute anterior cerebral artery(ACA)occlusion.Methods We made a retrospective analysis of 38 patients with acute ACA occlusion treated by stent semi-retrieval technique at Tangdu Hospital and Xi'an No.1 Hospital from June 2019 to September 2023.The successful recanalization,first-pass effect(FPE),perioperative complications and postoperative recovery of all the patients were analyzed.Modified thrombolytic test in cerebral infarction(mTICI)was used to evaluate the recanalization(unsuccessful recanalization,mTICI 0-2a;successful recanalization,mTICI 2b-3).FPE was defined as mTICI 3 after one thrombectomy.The clinical outcome was evaluated by modified Rankin Scale(mRS)3 months postoperatively.A good prognosis was defined as a mRS 0-2.Results Of the 38 patients,36(94.7％)got successful recanalization(mTICI 2b-3),with an FPE of 73.7％(28/38).Two cases of mild vascular spasm(5.3％)occurred during the mechanical thrombectomy,which completely relieved without further treatment.None of the 38 patients experienced vascular rupture or dissection,and no thrombus escaped during the thrombus removal process.There was no subarachnoid hemorrhage or parenchymal hemorrhage in the area related to ACA occlusion.Ninety days after operation,14 cases(36.8％)reached good outcome(mRS 0-2),18 cases(47.4％)reached mRS 3-5,and 6 cases(15.8％)died.Conclusion Our preliminary experience suggests that the stent semi-retrieval technique may be a safe and effective method for treating acute anterior cerebral artery occlusion.

OBJECTIVE To establish fingerprint,chemical pattern recognition and multi-component quantification analysis of Sanzi powder,and evaluate its quality.METHODS HPLC method was adopted.The fingerprints of 15 batches of Sanzi powder were established by using the Similarity Evaluation System for Chromatographic Fingerprint of Traditional Chinese Medicine(2012 edition).Cluster analysis,principal component analysis and orthogonal partial least squares-discriminant analysis were also conducted.The variable importance in projection(VIP)value greater than 1 was used as the index to screen the differential markers,and the contents of the differential markers were determined by the same HPLC method.RESULTS A total of 21 common peaks in the HPLC fingerprints of 15 batches of Sanzi powder were calibrated,and the similarities of them were 0.994-0.999;6 common peaks were identified,including gallic acid(peak 3),garminoside(peak 10),corilagin(peak 11),chebulinic acid(peak 16),ellagic acid(peak 18),crocin Ⅰ(peak 19).According to the results of cluster analysis,principal component analysis and orthogonal partial least squares-discriminant analysis,15 batches of samples could be clustered into two categories:S1,S5,S7,S9,S14 were clustered into one category;S2-S4,S6,S8,S10-S13,S15 were clustered into one category.VIP values of 11 differential components such as corilagin,chebulinic acid and ellagic acid were higher than 1.Among 15 batches of samples,the contents of corilagin,chebulinic acid and ellagic acid ranged 2.667-5.152,9.506-13.522,0.891-1.811 mg/g.CONCLUSIONS Established HPLC fingerprint and multi-component quantification analysis of Sanzi powder are rapid and simple,and can be used for quality evaluation of Sanzi powder by combining with chemical pattern recognition.Eleven components such as corilagin,chebulinic acid and ellagic acid are differential markers affecting the quality of Sanzi powder.

Objective:To examine frailty in residents aged over 50 in the Chengdu community, investigate the risk factors linked to frailty, and analyze the impact of exercise habits on frailty.Methods:This retrospective study utilized a stratified whole-sample method to select Chengdu residents aged over 50 from 6 communities.Relevant information was collected through face-to-face interactions using a self-developed frailty questionnaire between May 2022 and May 2023.Exercise habits were defined as engaging in physical activity more than three times a week for at least 30 minutes per session, consistently maintained for a minimum of five years prior to the survey.The frailty index(FI)was established based on the multiple-deficit cumulative model.Respondents were classified into categories of no frailty(FI<0.1), mild frailty(0.1 ≤ FI<0.2), and moderate-severe frailty(FI≥0.2).Univariate and multivariate logistic regression analyses were conducted to investigate the factors influencing frailty and to compare the prevalence and progression of frailty among individuals with and without exercise habits across different age groups.Results:A total of 999 participants, comprising 483(48.3%)males and 516(51.7%)females, were enrolled in the study.The average age of the participants was 65.70±9.61 years.Among them, 346(34.6%)were classified as having mild frailty, while 107(10.7%)had moderate-severe frailty.Univariate analysis revealed that age, gender, marital status, education, smoking, alcohol consumption, and exercise habits were potential factors influencing frailty( P<0.05).Multifactorial logistic regression models indicated that individuals aged 70-79 and 80-85 were predictors of mild and moderate-severe frailty, respectively.Being female was identified as an independent risk factor for both mild frailty( OR: 1.196; 95% CI: 1.262-3.073)and moderate-severe frailty( OR: 2.721; 95% CI: 1.282-5.774).Additionally, not engaging in regular exercise was associated with an increased risk of mild frailty( OR: 1.588; 95% CI: 1.149-2.193)and moderate-severe frailty( OR: 3.186; 95% CI: 1.819-5.583).Statistical analysis revealed significant differences in frailty distribution and frailty index changes between individuals with and without exercise habits over the age of 60( P<0.05). Conclusions:Age and gender were found to be closely associated with frailty, with the impact of exercise habits on frailty becoming more pronounced after the age of 60.Encouraging middle-aged and older individuals to adopt regular exercise routines can play a significant role in promoting healthy aging in China.