Repetitive transcranial magnetic stimulation （rTMS） is an emerging technique for noninvasive brain stimulation and plays an increasingly important role in the rehabilitation treatment of post-stroke aphasia due to its advantages of noninvasiveness，safety，and targeting ability. With reference to related articles in China and globally in recent years，this article elaborates on the role，mechanism，and target of rTMS in post-stroke aphasia，in order to provide a reference for the rehabilitation treatment of patients with post-stroke aphasia.
Rehabilitation

Background Salidroside (SAL) has a protective effect on multiple organ systems. Exposure to fine particulate matter (PM_2.5) in the atmosphere may lead to disruptions in gut microbiota and impact intestinal health. The regulatory effect of SAL on the gut microbiota of mice exposed to PM_2.5 requires further investigation. Objective To evaluate gut microbiota disruption in mice after being exposed to PM_2.5 and the potential effect of SAL. Methods Forty male C57BL/6 mice, aged 6 to 8 weeks, were randomly divided into four groups: a control group, an SAL group, a PM_2.5 group, and an SAL+PM_2.5 group, each containing 10 mice. In the SAL group and the SAL+PM_2.5 group, the mice were administered SAL (60 mg·kg⁻¹) by gavage, while in the control group and the PM_2.5 group, sterile saline (10 mL·kg⁻¹) was administered by gavage. In the PM_2.5 group and the SAL+PM_2.5 group, PM_2.5 suspension (8 mg·kg⁻¹) was intratracheally instilled, and in the control group and SAL group, sterile saline (1.5 mL·kg⁻¹) was intratracheally administered. Each experiment cycle spanned 2 d, with a total of 10 cycles conducted over 20 d. Histopathological changes in the ileum tissue of the mice were observed after HE staining. Colon contents were collected for gut microbiota sequencing and short-chain fatty acids (SCFAs) measurements. Results The PM_2.5 group showed infiltration of inflammatory cells in the ileum tissue, while the SAL+PM_2.5 group exhibited only a small amount of inflammatory cell infiltration. Compared to the control group, the PM_2.5 group showed decreased Shannon index (P<0.05) and increased Simpson index (P<0.05), indicating that the diversity of gut microbiota in this group was decreased; the SAL+PM_2.5 group showed increased Shannon index compared to the PM_2.5 group (P<0.05) and decreased Simpson index (P<0.05), indicating that the diversity of gut microbiota in mice intervened with SAL was increased. The principal coordinates analysis (PCoA) revealed a significant separation between the PM_2.5 group and the control group, while the separation trend was less evident among the control group, the SAL group, and the SAL+PM_2.5 group. The unweighted pair-group method with arithmetic means (UPGMA) clustering tree results showed that the control group and the SAL group clustered together first, followed by clustering with the SAL+PM_2.5 group, and finally, the three groups clustered with the PM_2.5 group. The PCoA and UPGMA clustering results indicated that the uniformity and similarity of the microbiota in the PM_2.5 group were significantly decreased. Compared to the control group, the PM_2.5 group showed decreased abundance of phylum Bacteroidetes and Candidatus_Saccharimonas (P<0.05) and increased abundance of phylum Proteobacteria, genus Escherichia, genus Bacteroides, genus Prevotella, genus Enterococcus, and genus Proteus (P<0.05). Compared to the PM_2.5 group, the SAL+PM_2.5 group showed decreased abundance of phylum Proteobacteria, phylum Actinobacteria, genus Prevotella, and genus Proteus (P<0.05), and increased abundance of Candidatus_Saccharimonas (P<0.05). The PM_2.5 group showed reduced levels of propionic acid, valeric acid, and hexanoic acid compared to the control group (P<0.05), while the SAL+PM_2.5 group showed increased levels of propionic acid, isobutyric acid, butyric acid, valeric acid, and hexanoic acid compared to the PM_2.5 group (P<0.05). Conclusion Exposure to PM_2.5 can cause pathological alterations, microbial dysbiosis, and disturbing production of SCFAs in intestinal tissue in mice. However, SAL can provide a certain degree of protective effect against these changes.

The discussion on the connotation of children’s subjectivity is not only a response to the lack of children’s subjectivity at the current stage of health management, but also a reference for children’s medical science popularization. Based on the perspective of social critical theory, this study used empirical research methods to review the "Dream Medical College" project of Children’s Hospital of Fudan University. The current situation and influencing factors of health management experience of 1 520 children participating in the "Dream Medical College" project were analyzed. The study showed that 96.35% of 1 316 subjects had diagnosis and treatment experience in specialized hospitals, and the overall negative emotional performance was at a low level (0~12 points). There was significant correlation between diagnosis and treatment, invasive experience and children’s emotional performance (P<0.05). The study revealed that the diagnosis and treatment field is the main practice place of children’s health management, while the subjective of children with different diagnosis and experience perform significantly different. Children over 4 years old have better language anxiety than physical anxiety when receiving diagnosis and treatment. Although medical science popularization is an important practical form of children’s health management, it lacks the science popularization content of invasive diagnosis and treatment and emotional management, and creative popular science form is more suitable for children with long-term and frequent diagnosis and treatment experience.

Objective:To investigate the incidence and risk factors of deep vein thrombosis(DVT)in patients with rheumatoid arthritis(RA).Methods:The clinical data of RA patients who were hospi-talized in the Department of Rheumatology and Immunology of Aerospace Center Hospital from May 2015 to September 2021 was retrospectively analyzed,including demographic characteristics,concomitant diseases,laboratory examinations(blood routine,biochemistry,coagulation,inflammatory markers,rheumatoid factor,antiphospholipid antibodies and lupus anticoagulant,etc.)and treatment regimens.The patients were compared according to the presence or absence of DVT,and the t test,Mann-Whitney U test or Chi-square test were applied to screen for relevant factors for DVT,followed by Logistic regres-sion analysis to determine risk factors for DVT in patients with RA.Results:The incidence of DVT in the RA patients was 9.6％(31/322);the median age of RA in DVT group was significantly older than that in non-DVT group[64(54,71)years vs.50(25,75)years,P＜0.001];the level of disease activity score using 28 joints(DAS28)-erythrocyte sedimentation rate(ESR)in DVT group was higher than that in non-DVT group[5.2(4.5,6.7)vs.4.5(4.5,5.0),P＜0.001];the incidence of hypertension,chronic kidney disease,fracture or surgery history within 3 months,and varicose veins of the lower ex-tremities in DVT group was higher than that in non-DVT group(P＜0.001).The levels of hemoglobin and albumin in DVT group were significantly lower than that in non-DVT group(P=0.009,P=0.004),while the D-dimer level and rheumatoid factor positive rate in DVT group were significantly higher than that in non-DVT group(P＜0.001).The use rate of glucocorticoid in DVT group was higher than that in non-DVT group(P=0.009).Logistic regression analysis showed that the age(OR=1.093,P＜0.001),chronic kidney disease(OR=7.955,P=0.005),fracture or surgery history with-in 3 months(OR=34.658,P=0.002),DAS28-ESR(OR=1.475,P=0.009),and the use of glu-cocorticoid(OR=5.916,P=0.003)were independent risk factors for DVT in RA patients.Conclu-sion:The incidence of DVT in hospitalized RA patients was significantly increased,in addition to tradi-tional factors,such as age and chronic kidney disease,increased DAS28-ESR level and the use of glu-cocorticoid were also independent risk factors for DVT.

Objective:To investigate the inhibitory effect of lycium barbarum polysaccharide(LBP)on apoptosis of Schwann cells(SCs)and its related mechanisms.Methods:The autophagy model was prepared by starvation treatment of RSC96 cells for 12 h,and the expressions of autophagy related proteins LC3 and p62 were detected by Western Blot.Cell Counting Kit-8(CCK-8)kits were used to detect the optimal concentration of LBP.RSC96 cells were randomly divided into Control group,Starvation group and Starvation+LBP group.The expressions of autophagy associated pro-teins(LC3,p62)and myelin associated proteins(p75NTR,PMP22,S100β)were detected by Western Blot or immu-nofluorescence staining.Annexin V/PI fluorescence staining was used to detect apoptosis of the cells.The cell cycle was analyzed by flow cytometry.Western Blot analysis of phosphorylation levels of pathway proteins Erk1/2 and Akt.Results:CCK8 results showed that the viability of damaged RSC96 cells was the best when LBP was 300 μg/ml.Com-pared with Control group,LC3-Ⅱ/LC3-I levels in Starvation group were significantly increased(P＜0.05).Compared with Starvation group,the proportion of apoptotic and necrotic cells in Starvation+LBP group was significantly de-creased,and the proportion of cells in S and G2/M stages was increased.The expression levels of LC3-Ⅱ,p75NTR,PMP22 and S100β were increased,while the expression levels of autophagy substrate protein p62 were decreased.In-creased expression of pathway protein p-Erk1/2(P＜0.05),while the expression of p-Akt protein decreased slightly.Conclusion:LBP can inhibit the apoptosis of SCs and promote the expression of myelin-related proteins by enhancing autophagy,which is related to the activation of Erk1/2 and/or the inhibition of Akt.

Objective:To systematically evaluate the risk prediction model of ICU-acquired dysphagia in critically ill patients, and to provide a reference basis for medical practitioners to select or develop suitable risk assessment tools.Methods:Cross-sectional studies, case-control studies, and cohort studies of ICU-acquired dysphagia risk prediction models were searched in eight databases, including Wanfang database, China Biomedical Literature Database, VIP database, China National Knowledge Infrastructure, PubMed, Embase, CINAHL, and the Cochrane Library in both English and Chinese, and the search timeframe was from the construction of the database to July 5th, 2023. and the search was limited to Chinese and English. Literature was independently screened and data were extracted by 2 investigators, and the risk of bias assessment tool for predictive modeling studies was applied to analyze the risk of bias and applicability of the included literature.Results:A total of 8 high-quality papers were included, including 8 predictive models of risk of ICU-acquired dysphagia. The area under the subject operating characteristic curve for the models ranged from 0.750 to 0.980, with 6 models reporting calibration and 2 models having a Hosmer-Lemeshow test P>0.05, indicating good agreement. 2 models were externally validated. Independent predictors reported repeatedly for multivariate models were age ≥ 65 years, chronic lung disease, cerebrovascular disease, comorbid arrhythmias, use of sedative medications and duration of use, Acute Physiology and Chronic Health Evaluation Ⅱ score ≥ 15, presence of a nasogastric tube, duration of indwelling gastric tube ≥ 72 h, and duration of endotracheal intubation ≥ 72 h. Smaller sample sizes (outcome events), insufficient attention to missing data, variable screening processes irrationality, and model overfitting increased the risk of model bias. Conclusions:The included models showed overall good discrimination and applicability, but their risk of bias was high, and external validation was carried out in only a very few studies. Future studies should refer to transparent reports of multivariate predictive models to develop, update, and validate the models to obtain high-quality predictive models of the risk of ICU-acquired dysphagia, which can provide a reference basis for the development of relevant preventive strategies.

Background Hexavalent chromium [Cr(VI)] exposure can cause structural disruption of intestinal flora and functional impairment. Vitamin C (VC) is one of the essential micronutrients, which plays an important role in promoting the growth of intestinal probiotics, improving the intestinal barrier, and maintaining the homeostasis of intestinal flora. However, the regulatory effect of VC on the intestinal flora disorders caused by Cr(VI) exposure remains to be investigated. Objective To investigate the effect of VC on intestinal flora disruption in mice due to Cr(VI) exposure. Methods Thirty-two SPF-grade C57BL/6 mice were acclimatized and fed for 3 d and randomly divided into control (Con), VC, potassium dichromate [K₂Cr₂O₇, Cr(VI)], and VC+K₂Cr₂O₇ [VC+Cr(VI)] groups. At 8:00 a.m. on day 4, the Con group (double-distilled water given by gavage and injected intraperitoneally), the VC group (VC given by gavage and double-distilled water injected intraperitoneally), the Cr(VI) group (double-distilled water given by gavage and K₂Cr₂O₇ solution injected intraperitoneally), and the VC+Cr(VI) group (VC given by gavage and K₂Cr₂O₇ solution injected intraperitoneally) were treated. The dose of VC was 200 mg·kg⁻¹, and the dose of K₂Cr₂O₇ was 1.25 mg·kg⁻¹. The mice were treated for 45 consecutive days and then executed, the contents of the colon were sampled in sterile freezing tubes, and three replicates were collected from each group. After labeling, the samples were immediately put into liquid nitrogen for rapid freezing. After all the samples were collected, they were transferred to a -80 ℃ ultra-low temperature refrigerator for storage. Samples of colon contents were analyzed for intestinal flora structure by high-throughput sequencing and bioinformatics software. Results The Cr(VI) exposure resulted in reduced body weight gain values in mice compared to the Con group. Pathological changes occurred in the ileal tissue of mice, with significant inflammatory cell infiltration in the Cr(VI) group and reduced inflammatory cell infiltration in the VC+Cr(VI) group. The number of operational taxonomic units (OTUs) of intestinal flora was altered in the Cr(VI) group of mice. In the α diversity analysis, the mean Sobs index in the Cr(VI) group was 240.333±67.796, the Chao index was 258.173±64.813, and the Ace index was 259.481±66.891, which were significantly lower than those in the Con group (P<0.05), the PD whole tree index in the Cr(VI) group was 27.863±2.399, which was significantly higher than that in the Con group (P<0.05), and the VC intervention significantly reversed the changes of the above indexes due to Cr(VI) exposure (P<0.05). In the β diversity analysis, the principal coordinates analysis (PCoA) results showed a significant separation between the Cr(VI) group and the Con group, and after the VC intervention, there was a retraction of the separation trend and the difference was reduced. The multi-sample similarity dendrogram results showed that the control and the VC groups clustered together first, then with the VC+Cr(VI) group, and finally with the Cr(VI) group. The abundances of Bacteroidetes, Saccharibacteria, and Tenericutes in the intestine of mice in the Cr(VI) group were decreased, and the abundance of Firmicutes was increased; the abundances of Lactobacillus, Alistipes, Bacteroides, and Ruminiclostridium were also increased. Included among these, Bacteroides showed a significantly higher abundance compared to the control mice (P<0.05). Changes in the abundances of phyla and genera of the above mentioned gut microorganisms were reversed after the VC intervention. Conclusion Cr(VI) exposure can lead to intestinal damage and disorganization of the intestinal flora structure in mice, while VC intervention can ameliorate the above changes to a certain extent and normalize the intestinal flora structure.

Objective:To construct a diabetes foot prediction model for adult patients with type 2 diabetes based on retrospective cohort study using data from a regional health data platform.Methods:Using Yinzhou Health Information Platform of Ningbo, adult patients with newly diagnosed type 2 diabetes from January 1, 2015 to December 31, 2022 were included in this study and divided randomly the train and test sets according to the ratio of 7∶3. LASSO regression model and bidirectional stepwise regression model were used to identify risk factors, and model comparisons were conducted with net reclassification index, integrated discrimination improvement and concordance index. Univariate and multivariate Cox proportional hazard regression models were constructed, and a nomogram plot was drawn. Area under the curve (AUC) was calculated as a discriminant evaluation indicator for model validation test its calibration ability, and calibration curves were drawn to test its calibration ability.Results:No significant difference existed between LASSO regression model and bidirectional stepwise regression model, but the better bidirectional stepwise regression model was selected as the final model. The risk factors included age of onset, gender, hemoglobin A1c, estimated glomerular filtration rate, taking angiotensin receptor blocker and smoking history. AUC values (95% CI) of risk outcome prediction at year 5 and 7 were 0.700 (0.650-0.749) and 0.715(0.668-0.762) for the train set and 0.738 (0.667-0.801) and 0.723 (0.663-0.783) for the test set, respectively. The calibration curves were close to the ideal curve, and the model discrimination and calibration powers were both good. Conclusions:This study established a convenient prediction model for diabetic foot and classified the risk levels. The model has strong interpretability, good discrimination power, and satisfactory calibration and can be used to predict the incidence of diabetes foot in adult patients with type 2 diabetes to provide a basis for self-assessment and clinical prediction of diabetic foot disease risk.

Objective:To develop a prediction model for the risk of diabetic retinopathy (DR) in patients with newly diagnosed type 2 diabetes mellitus (T2DM).Methods:Patients with new diagnosis of T2DM recorded in Yinzhou Regional Health Information Platform between January 1, 2015 and December 31, 2022 were included in the study. The predictor variables were selected by using Lasso-Cox proportional hazards regression model. Cox proportional hazards regression models were used to establish the prediction model for the risk of DR. Bootstrap method (500 resamples) was used for internal validation, and the performance of the model was assessed by C-index, the receiver operating characteristic curve and area under the curve (AUC), and calibration curve.Results:The predictor variables included in the final model were age of T2DM onset, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, estimated glomerular filtration rate, and history of lipid-lowering agent and angiotensin converting enzyme inhibitor uses. The C-index of the final model was 0.622, and the mean corrected C-index was 0.623 (95% CI: 0.607-0.634). The AUC values for predicting the risk of DR after 3, 5, and 7 years were 0.631, 0.620, and 0.624, respectively, with a high degree of overlap of the calibration curves with the ideal curves. Conclusion:In this study, a simple and practical risk prediction model for DR risk prediction was developed, which could be used as a reference for individualized DR screening and intervention in newly diagnosed T2DM patients.

Objective:To construct a risk prediction model for diabetes kidney disease (DKD).Methods:Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models. Bootstrap 500 resampling was applied for internal validation.Results:The study included 49 706 subjects, with an median ( Q1, Q3) age of 60.00 (50.00, 68.00) years old, and 55% were male. A total of 4 405 subjects eventually developed DKD. Age at first diagnosis of T2DM, BMI, education level, fasting plasma glucose, glycated hemoglobin A1c, urinary albumin, past medical history (hyperuricemia, rheumatic diseases), triglycerides, and estimated glomerular filtration rate were included in the final model. The final model's C-index was 0.653, with an average of 0.654 after Bootstrap correction. The final model's area under the receiver operating characteristic curve for predicting 4-year, 5-year, and 6-year was 0.657, 0.659, and 0.664, respectively. The calibration curve was closely aligned with the ideal curve. Conclusions:This study constructed a DKD risk prediction model for newly diagnosed T2DM patients based on real-world data that is simple, easy to use, and highly practical. It provides a reliable basis for screening high-risk groups for DKD.