OBJECTIVE To investigate the improvement effect and potential mechanism of Qingxue xiaozhi jiangtang formula on insulin resistance （IR） in type 2 diabetes mellitus （T2DM） rats. METHODS T2DM rat model was established by intraperitoneal injection of 30 mg/kg streptozotocin combined with high-fat and high-sugar diet. The rats were randomly divided into normal control group， model group， Qingxue xiaozhi jiangtang formula low-dose and high-dose groups （6.525， 13.05 g/kg， calculated by raw material） and metformin group （positive control， 0.18 g/kg）， with 8 rats in each group. Administration groups were given relevant medicine intragastrically； normal control group and model group were given constant volume of normal saline intragastrically， once a day， for consecutive 6 weeks. Body mass and fasting blood glucose （FBG） were determined， and oral glucose tolerance test was conducted. Serum fasting insulin （FINS） level was measured to calculate the insulin resistance index （HOMA-IR） and insulin sensitivity index （ISI）. Additionally， the level of serum lipids， liver function， oxidative stress indicators and inflammatory factors were assessed. The phosphorylation levels of kinase R-like endoplasmic reticulum kinase （PERK） and forkhead box O1 （FOXO1） protein in liver tissue of rats were determined. RESULTS Compared with model group， the body weight， ISI， the levels of high-density lipoprotein cholesterol and superoxide dismutase were increased significantly in Qingxue xiaozhi jiangtang formula high-dose group and metformin group （P＜0.05）； FBG， blood glucose level at 120 minutes of glucose loading， area under the curve of glucose， FINS， HOMA-IR， low-density lipoprotein cholesterol， total cholesterol， triglyceride， alanine transaminase， aspartate transaminase， alkaline phosphatase， malondialdehyde， interleukin-6， tumor necrosis factor-α， and C-reactive protein levels were significantly reduced （P＜ Δ0.05）； the pathological damage of liver tissue had significantlyimproved， and the phosphorylation levels of PERK and FOXO1 proteins in liver tissue were significantly decreased （P＜0.05）. CONCLUSIONS Qingxue xiaozhi jiangtang formula can regulate glucose and lipid metabolism， inflammation factor and oxidative stress levels， and alleviate insulin resistance in T2DM rats. Its mechanism of action may be related to the inhibition of the PERK/FOXO1 signaling pathway.

AIM: To analyze the correlation between ocular surface status and serum lipids in patients with meibomian gland dysfunction(MGD)during pregnancy, and to provide new ideas for the management and treatment of MGD during pregnancy.METHODS: Totally 120 pregnant women(240 eyes)treated in our hospital from May 2021 to May 2022 were selected and they were divided into MGD group(60 cases, 120 eyes)and control group(60 cases, 120 eyes)according to the presence or absence of MGD. All subjects received the ocular surface disease index scores(OSDI)and underwent examinations of meibomian gland morphology and function, tear film and blood lipid.RESULTS: The scores of OSDI, the related indexes of meibomian gland, corneal fluorescein staining(FL)scores, total cholesterol(TC), triglyceride(TG)and low density lipoprotein-cholesterol(LDL-C)in the MGD group were significantly higher than those in the control group(P<0.05). The scores of fluorescein breakup time(FBUT), Schirmer Ⅰ test(SIt)and high-density lipoprotein cholesterol(HDL-C)in the MGD group were significantly lower than those in the control group(P<0.05). Correlation analysis showed that the scores of TG, TC, LDL-C were negatively correlated with the values of FBUT(rs =-0.702, -0.647, -0.710, all P<0.001).CONCLUSION: The level of blood lipids in pregnant patients with MGD is significantly increased, and the levels of TC, TG and LDL-C may be related to the stability of tear film.

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.

Objectives To investigate the relationship between self-reported occupational noise exposure and levels of plasma inflammatory cytokines in asthmatic patients. Methods A total of 910 adult asthmatic patients were selected as the study subjects, and their occupational noise exposure history and other related information were collected. The peripheral blood samples were collected from the patients, and the expression levels of plasma soluble CD14 (sCD14), complement factor D (CFD), Eotaxin-11 (CCL11), and IL-9 were determined. The relationship between self-reported occupational noise exposure and the expression levels of the four inflammatory cytokines in patients’ plasma were analyzed using multiple linear regression models. The interactions between confounding factors and self-reported occupational noise exposure were further analyzed by interaction analysis. Results The plasma CCL11, sCD14 and CFD expressions in asthmatic patients with self-reported occupational noise exposure were significantly higher than those in patients without the exposure (P<0.05). After adjusting for confounding factors, compared with patients reporting no occupational noise exposure, the plasma CFD expression was increased by 0.17 (95% CI: 0.02, 0.31) natural logarithm units in patients with self-reported occupational noise exposure. During remission, the levels of plasma CCL11 and sCD14 in asthmatic patients with self-reported occupational noise exposure were increased by 0.27 (95% CI: 0.05, 0.49) and 0.22 (95% CI: 0.02, 0.41) natural logarithm units, respectively, when compared with patients without the exposure. Interaction analysis showed that self-reported occupational noise exposure had significant multiplicative interaction with smoking or pet ownership on plasma CCL11 or CFD expressions in asthmatic patients (all P<0.05). Conclusion Self-reported occupational noise exposure is significantly associated with increased expression levels of plasma CFD, CCL11, and sCD14 in adult asthmatic patients.

Objective:To explore the effective components and potential mechanisms of Xiefei Lishui Prescription in the treatment of heart failure.Methods:Ultra high-performance liquid chromatography tandem four stage rod time of flight mass spectrometry (UPLC-Q-TOF-MS) technology was used to analyze and identify the active components of Xiefei Lishui Prescription. Drug targets were predicted through the Swiss Target Prediction database, and disease targets were collected from Gene Cards, Dis GENET, and TTD databases. The intersection of drug targets and disease targets was screened using a STRING database for protein interaction to identify core targets. The core targets were included in the DAVID database for GO enrichment and KEGG analysis. Finally, molecular docking validation was performed between the drug components and the corresponding core targets.Results:The results identified 10 active components of Xiefei Lishui Prescription, and 8 potential active components were screened using network pharmacology for the treatment of heart failure with Xiefei Lishui Prescription, corresponding to 160 related action targets. A total of 1 305 disease-related targets were collected, and a total of 51 targets ad 17 core targets were included in the string database for protein interaction analysis. GO functional enrichment and KEGG analysis indicated that the mechanism of Xiefei Lishui Prescription in treating heart failure may be related to pathways such as protein binding, ATP binding, and negative regulation of the VEGF signaling pathway and T cell receptor pathway during apoptosis. The molecular docking results showed that baicalin exhibited good binding activity with ESR1, sorghum isoflavones with ESR1, and quercetin with AKT1, EGFR, IL2, and ABCB1.Conclusion:Xiefei Lishui Prescription may exert therapeutic effects on heart failure through multiple pathways by targeting ESR1, AKT1, EGFR, and other targets.

Originally used as an antimalarial drug,hydroxychloroquine is now widely used in the treatment of rheumatic immune diseases due to its cost-effectiveness,safety,and efficacy.In addition to its immunomodulatory effects,hydroxychloroquine also exhibits anti thrombotic,anti-hypolipidemic,and anti-hypoglycemic properties.Hydroxychloroquine blood levels are correlated with clinical outcomes and adverse reactions,and can reflect patient compliance.However,due to the complex pharmacokinetic profile of hydroxychloroquine,significant inter-individual differences in blood concentration exist even with the administration of the same dosage.This study investigates the factors affecting the blood concentration of hydroxychloroquine in terms of physiological factors,pathological factors,metabolic enzyme gene polymorphisms,and drug-related factors.The aim is to provide a reference for rational clinical use and the development of individualized dosing.

Intestinal microorganisms and their metabolites are involved in the pathogenesis and progression of various cardiovascular diseases,especially in the progression of heart failure.This paper mainly discussed the gut microbial metabolites trimethylamine oxide(TMAO)participated in the pathological process of heart failure,and application value of TMAO in heart failure patients.This paper introduced the change characteristics of intestinal flora and its metabolites in heart failure patients,illu-minated the TMAO-mediated inflammatory response,and the related signal pathways and mechanism of myocardial hypertrophy and heart failure.High levels of TMAO are associated with poor outcomes in patients with heart failure indicating a good predictive value for the prognosis of heart failure.Regulating TMAO levels through diet,probiotics and prebiotics,antibiotics,fecal transplan-tation,and other pathways is expected to be a potential treatment for heart failure.

Objective To construct a TCM Zhengsu differentiation model for type 2 diabetes based on deep learning and multimodal fusion,thus providing algorithmic support for full intelligence in TCM Zhengsu differentiation.Methods A total of 2585 patients with type 2 diabetes were recruited.Three experts were invited to perform the Zhengsu differentiation separately.Deep fully connected neural networks,U2-Net and ResNet34 networks were applied to construct the symptom-based differentiation model(S-Model)and the tongue image-based differentiation model(T-Model),respectively,while multimodal fusion techniques were employed to build the multimodal fusion model(TS-Model)with the above two as co-inputs.Finally,the prediction performance of the above models was compared by F1 value,accuracy,and recall.Results The predicted F1 values of the T-Model fluctuated from 0.000%to 86.726%,while those in the S-Model and TS-Model fluctuated from 0.000%to 97.826%and from 55.556%to 99.065%,respectively.A stable and high F1 value was found in the TS-Model.Conclusion The multimodal fusion technique was demonstrated to be applicable in the TCM Zhengsu differentiation model,which provided methodological support for developingof a fully intelligent Zhengsu differentiation model with high objective four diagnostic information.

Objective:Exploring the effect of recovery-oriented family psychoeducation on the level of social support and family resilience of patients with schizophrenia in remission stage, providing theoretical basis for clinical application.Methods:Using a randomized controlled trial method and convenience sampling method, 60 patients with schizophrenia in remission who visited the outpatient department of the Affiliated Mental Health Center of Shanghai Jiao Tong University School of Medicine from April 2020 to March 2022 were selected as the study subjects, and they were divided into experimental group and control group, with 30 patients in each group according to their residence places. The control group was given routine health education; the experimental group was given the rehabilitation oriented family psychoeducation, before intervention and 3 months after intervention, Social Support Rating Scale and Family Resilience Questionnaire were used to evaluate the intervention effect.Results:A total of 60 patients were included in the control group, including 13 males and 17 females, aged (27.0 ± 6.5)years.In the experimental group, there were 14 males and 16 females, aged (28.0 ± 5.6) years. After intervention, the scores of subjective support, objective support and social support utilization in Social Support Rating Scale of the experimental group were 14.33 ± 3.36, 8.43 ± 1.63 and 9.60 ± 2.49, respectively, the control group were 16.20 ± 3.83, 10.00 ± 2.59 and 8.33 ± 2.28, respectively, and the differences were statistically significant ( t=2.00, 2.80, -2.05, all P<0.05). After intervention, the total score of Family Resilience Questionnaire and the scores of perseverance, support and harmony were 78.77 ± 9.61, 24.90 ± 3.07, 15.10 ± 2.23 and 23.63 ± 3.04, respectively. Higher than the control group 72.67 ± 15.96, 23.43 ± 4.92, 14.03 ± 3.60, 21.13 ± 5.13, the differences were statistically significant ( t values were -2.29--1.37, all P<0.05). Conclusions:Recovery-oriented family psychoeducation can improve the level of social support and family resilience of schizophrenia patients in remission.

Objective To analysis the effectiveness and cost of Internet-based anticoagulation clinic versus traditional anticoagulation clinic treatment at Nanjing Drum Tower Hospital during the COVID-19 pandemic.Methods We reviewed and analyzed the clinical data of patients receiving anticoagulation management through Internet-based outpatient care and traditional outpatient care in Nanjing Drum Tower Hospital,from June 1,2020 to June 30,2021.Variability in time in therapeutic range(TTR)and international normalized ratio(INR)were calculated for enrolled patients.Patients meeting TTR≥60%and INR variability<0.65 were considered optimal anticoagulation quality.Cost-effectiveness analysis was conducted from the patients'perspective,with results expressed using the incremental cost-effectiveness ratio(ICER).Results In the"Internet-based anticoagulation outpatient care"and"traditional face-to-face anticoagulation outpatient care"groups,19 individuals(67.86%)and 67 individuals(76.14%)met the criteria for optimal anticoagulation quality,respectively.The mean TTR was(71.83±19.17)%in the Internet-based group and(71.74±23.41)%in the traditional face-to-face group,indicating similar levels of warfarin anticoagulation quality between the two groups.The ICER was calculated as 327.17 yuan,less than the per capita gross domestic product(GDP)of 2021.Conclusion During the COVID-19 pandemic,Nanjing Drum Tower Hospital's Internet-based anticoagulation outpatient care effectively complemented the government's epidemic control policies.It ensured equivalent anticoagulation outcomes and significantly reduced patients'financial burdens.This approach offers new insights and guidance for optimizing healthcare services in the post-pandemic era.