It is proposed that the pathogenesis of rheumatoid arthritis （RA） is centered on deficiency， dampness， and blood stasis， which interact with and evolve into one another during the onset and progression of the disease. The development of RA is closely associated with insufficiency of healthy qi and the interbinding of dampness and blood stasis. Accordingly， treatment emphasizes an integrated approach that combines tonifying deficiency， eliminating dampness， and resolving blood stasis， and is implemented in three main stages. In the initial stage， therapy focuses on supporting healthy qi， dispelling dampness， and relieving impediment， with modified Huangqi Guizhi Wuwu Decoction （黄芪桂枝五物汤） combined with Yiyiren Decoction （薏苡仁汤）. In the active stage， treatment aims to eliminate dampness， resolve blood stasis， and unblock the collaterals， using modified Wutou Decoction （乌头汤） or Guizhi Shaoyao Zhimu Decoction （桂枝芍药知母汤）. In the remission stage， therapy emphasizes strengthening the spleen and reple-nishing qi to prevent recurrence， with modified Shenling Baizhu Powder （参苓白术散） combined with Guipi Decoction （归脾汤）.

ObjectiveTo investigate the effect of Toxoplasma gondii infection on copper metabolism in the kidneys of mice. MethodsA total of 80 7-8-week-old C57BL/6 female mice were randomly divided into four groups of 20 mice in each group after one week of adaptation， including Control group， Cu group， TgCtwh6 group and Cu+TgCtwh6 group. Mice that were not infected and fed with normal diet and water were used as the Control group； Mice fed with 1 g/kg of copper chloride processing diet and 0.1% copper chloride water for 60 consecutive days were used as Cu group； Mice infected with 25-30 TgCtwh6 cysts （one of the predominant genotype Chinese 1 in China） fed with normal diet and water were used as the TgCtwh6 group； mice infected with 25-30 TgCtwh6 cysts and fed with a processed diet containing 1 g/kg of copper chloride and water with 0.1% copper chloride for 60 consecutive days were used as the Cu+TgCtwh6 group. ICP-MS was used to determine the changes in copper content in kidney tissues. Hematoxylin-eosin （HE） staining was used to observe the pathological changes of mouse kidney tissue. The number of apoptotic cells was observed by PI staining. Western blot was used to detect the protein expression levels of glutathione peroxidase 4 （GPX4） and superoxide dismutase （SOD1， SOD2）. RT-qPCR was used to detect the mRNA expression of cuproptosis-related genes. ResultsPathological manifestations such as inflammatory cell infiltration in the Cu group and TgCtwh6 group were seen under the microscope， and the inflammatory infiltrating cells of the renal interstitial were reduced in the Cu+TgCtwh6 group， and the pathological manifestations

Objective To explore the risk prediction model of major adverse cardiovascular events (MACE) in community patients with hypertension based on remote ambulatory blood pressure parameters. Methods From November 2023 to October 2024, 486 community patients with hypertension who received standardized management in Nanjing Medical University Affiliated to Suzhou Hospital were retrospectively selected. All patients wore remote ambulatory blood pressure monitor to obtain 24-hour ambulatory blood pressure data. Clinical data were collected and remote ambulatory blood pressure parameters [24-hour systolic blood pressure variability (SBPV), 24-hour diastolic blood pressure variability (DBPV), nighttime SBPV, nighttime DBPV, daytime SBPV, daytime DBPV] were extracted. The patients were followed up for 12 months, and were classified into MACE group (n=42) and non-MACE group (n=444) according to whether MACE occurred during follow-up. Multivariate Logistic regression analysis was adopted to screen the influencing factors for MACE. Based on the above factors, a risk prediction model was constructed and verified by receiver operating characteristic (ROC) curve. Results MACE occurred in 42 cases among 486 patients, with an incidence rate of 8.64%. Multivariate Logistic regression analysis suggested that nighttime DBPV (OR=1.119, 95%CI: 1.030-1.214), 24h-SBPV (OR=1.115, 95%CI: 1.007-1.235), nighttime SBPV (OR=1.116, 95%CI: 1.016-1.226) and diabetes mellitus (OR=2.762, 95%CI: 1.059-7.203) were independent factors for MACE (P<0.05). The model validation results revealed that the area under the ROC curve was 0.905 (95%CI: 0.854-0.956 ), and the model had a good discrimination degree. Conclusion Nighttime DBPV, 24h-SBPV, nighttime SBPV and diabetes mellitus are independent risk factors for MACE in community patients with hypertension. The clinical prediction model based on these variables exhibits certain predictive value on MACE risk.

Diabetic foot is one of the most common and serious chronic complications in diabetic patients.With the advancement of digital healthcare,digital therapy has been gradually implemented and promoted among diabetic foot patients as an emerging tool with the advantages of safety,efficiency,and intelligence that can make up for the shortcomings of traditional diabetic foot risk assessment,health education,and self-management.This study provides an overview of digital therapeutics,summarizes its application in patients with diabetic foot,and proposes relevant recommendations,aiming to provide a reference for improving the quality of life and satisfaction of patients with diabetic foot and reducing the recurrence of diabetic foot.

Objective:To explore the potential profile characteristics of family health in patients with chronic diseases, analyze the influencing factors of different family health categories, and further investigate the relationship between family health categories and the quality of life in patients with chronic diseases, providing a scientific basis for targeted intervention strategies.Methods:This study was a cross-sectional survey. The data for the study were obtained from the Chinese Residents' Psychology and Behavior Survey Research Database. A multistage sampling method was employed to select 1 808 patients with chronic diseases as survey respondents from July to September 2021. Data were collected using the General Information Questionnaire, the Family Health Scale, and the European 5-Dimensional 5-Level Health Scale(EQ-5D-5L). Potential profiles of family health in patients with chronic diseases were identified using latent profile analysis. Univariate analysis and multiple Logistic regression were used to examine influencing factors, and generalized linear regression was performed to analyze the impact of different family health categories on quality of life.Results:A total of 1 808 chronic disease patients were enrolled, comprising 986 males and 822 females, with a age of (55.23 ± 7.02) years. The scores of family health, EQ-5D-5L, EuroQol Visual Analogue Scale were 38(34, 43), 0.94(0.84, 1.00), and 78(63, 87) points. The family health of patients with chronic diseases were categorized into three potential profiles: the low family health group (418 cases accounting for 23.1%), the medium family health group (747 cases accounting for 41.3%), and the high family health group (643 cases accounting for 35.6%). Multivariate Logistic regression analysis showed that family type, marital status, nature of household, education level, number of siblings and type of health insurance were significant factors influencing family health categories ( OR values were 0.464-2.503, all P<0.05). The family health was an important factor influencing quality of life ( χ2 values were 4.05-100.68, all P<0.05). Conclusions:There is significant heterogeneity in the family health of patients with chronic diseases, which can be divided into three distinct categories. Patients with higher family health levels have better quality of life. Medical professionals should develop precise intervention programs tailored to the characteristics of each category to improve family health levels and enhance the quality of life of patients with chronic diseases.

Diabetic foot is one of the most common and serious chronic complications in diabetic patients.With the advancement of digital healthcare,digital therapy has been gradually implemented and promoted among diabetic foot patients as an emerging tool with the advantages of safety,efficiency,and intelligence that can make up for the shortcomings of traditional diabetic foot risk assessment,health education,and self-management.This study provides an overview of digital therapeutics,summarizes its application in patients with diabetic foot,and proposes relevant recommendations,aiming to provide a reference for improving the quality of life and satisfaction of patients with diabetic foot and reducing the recurrence of diabetic foot.

Objective:To explore the correlation between the elevation of glycated hemoglobin A1c (HbA1c) in the first trimester and its change from the first to the second trimester and adverse pregnancy outcomes.Methods:This was a bidirectional cohort study. Singleton pregnant women who delivered in the First Affiliated Hospital, Sun Yat-sen University from March 1, 2021, to July 31, 2024, and had HbA1c results in the first and second trimesters were included. Those with HbA1c<5.7% in the first trimester were described as group E1, and those with HbA1c between 5.7% and 6.4% were described as group E2. Those with HbA1c<5.2% in the second trimester were described as group S1, and those with HbA1c between 5.2% and 6.4% were described as group S2. Accordingly, the changing trend of HbA1c from the first to the second trimester was divided into group E1-S1, group E1-S2, group E2-S1, and group E2-S2. Clinical indicators such as gestational diabetes mellitus (GDM), preeclampsia, preterm birth, preterm premature rupture of membranes (PPROM), polyhydramnios, large for gestational age infants, small for gestational age infants, neonatal hypoglycemia, and neonatal transfer were collected. Comparisons between groups were performed using t-tests, analysis of variance, Mann-Whitney U tests, Kruskal-Wallis tests, Chi square tests, and Fisher's exact test. Multivariate logistic regression analysis was used to analyze the impact of HbA1c in the first trimester and the changing trend of HbA1c from the first to the second trimester on pregnancy outcomes. Results:During the study period, a total of 6 500 pregnant women were included for analysis, among which 209 (3.2%) had HbA1c between 5.7% and 6.4% in the first trimester. Taking those with HbA1c<5.7% as a reference, HbA1c between 5.7% and 6.4% in the first trimester was an independent risk factor for GDM, preterm birth, and PPROM [ OR (95% CI) were 3.304 (2.465-4.427), 1.545 (1.008-2.368), and 1.872 (1.042-3.361), respectively]. Taking group E1-S1 as a reference, HbA1c<5.7% in the first trimester and 5.2%-6.4% in the second trimester (group E1-S2) was an independent risk factor for GDM, preterm birth, PPROM, and neonatal hypoglycemia [ OR (95% CI) were 2.770 (2.370-3.237), 1.424 (1.132-1.791), 1.614 (1.179-2.211), and 2.047 (1.024-4.092), respectively]; HbA1c between 5.7% and 6.4% in the first trimester and<5.2% in the second trimester (group E2-S1) was an independent risk factor for PPROM [ OR (95% CI) was 3.408 (1.187-9.784)]; HbA1c between 5.7% and 6.4% in the first trimester and 5.2%-6.4% in the second trimester (group E2-S2) was an independent risk factor for GDM and preterm birth [ OR (95% CI) were 4.651 (3.282-6.592) and 1.724 (1.066-2.786), respectively]. Conclusions:HbA1c between 5.7% and 6.4% in the first trimester was significantly associated with an increased risk of GDM, preterm birth, and PPROM. For those with HbA1c between 5.7% and 6.4% in the first trimester, if the HbA1c level decreased in the second trimester, only the risk of PPROM increased significantly; conversely, if the HbA1c level continued to increase in the second trimester, the risks of GDM and preterm birth both increased significantly.

Objective To observe the value of 18F-prostate specific membrane antigen(PSMA)-1007 PET/MRI for diagnosing seminal vesicle invasion(SVI)of prostatic cancer(PCa).Methods Totally 92 male patients with PCa who underwent radical prostatectomy were retrospectively enrolled and divided into positive group(n=26)and negative group(n=66)based on postoperative pathology showed SVI or not.PET/MRI parameters,including maximum standard uptake value(SUVmax),minimum apparent diffusion coefficient(ADCmin),mean apparent diffusion coefficient(ADCmean),SUVmax/ADCmin,SUVmax/ADCmean,PSMA tumor volume(PSMA-TV)and total lesion PSMA(TL-PSMA)were compared between groups.The receiver operating characteristic curve was drawn,and the efficacy of each parameter for diagnosing SVI was analyzed.Results Among 92 cases of PCa,18F-PSMA-1007 PET/MRI showed 30 cases with SVI and 62 cases without SVI,with accuracy of 73.91％,sensitivity of 61.54％,specificity of 78.79％,positive predictive value of 53.33％and negative predictive value of 83.87％.Significant differences of ADCmin,PSMA-TV and TL-PSMA were found between groups(all P＜0.05).The area under the curve(AUC)of SUVmax,ADCmin,ADCmean,SUVmax/ADCmin,SUVmax/ADCmean,PSMA-TV and TL-PSMA for diagnosing SVI of PCa was 0.554,0.341,0.396,0.603,0.581,0.755 and 0.705,respectively.The AUC of PSMA-TV was higher than other parameters except for TL-PSMA,with sensitivity of 84.60％and specificity of 56.10％.Conclusion 18 F-PSMA-1007 PET/MRI was helpful for diagnosing SVI of PCa.

Objective:To explore the potential profile characteristics of family health in patients with chronic diseases, analyze the influencing factors of different family health categories, and further investigate the relationship between family health categories and the quality of life in patients with chronic diseases, providing a scientific basis for targeted intervention strategies.Methods:This study was a cross-sectional survey. The data for the study were obtained from the Chinese Residents' Psychology and Behavior Survey Research Database. A multistage sampling method was employed to select 1 808 patients with chronic diseases as survey respondents from July to September 2021. Data were collected using the General Information Questionnaire, the Family Health Scale, and the European 5-Dimensional 5-Level Health Scale(EQ-5D-5L). Potential profiles of family health in patients with chronic diseases were identified using latent profile analysis. Univariate analysis and multiple Logistic regression were used to examine influencing factors, and generalized linear regression was performed to analyze the impact of different family health categories on quality of life.Results:A total of 1 808 chronic disease patients were enrolled, comprising 986 males and 822 females, with a age of (55.23 ± 7.02) years. The scores of family health, EQ-5D-5L, EuroQol Visual Analogue Scale were 38(34, 43), 0.94(0.84, 1.00), and 78(63, 87) points. The family health of patients with chronic diseases were categorized into three potential profiles: the low family health group (418 cases accounting for 23.1%), the medium family health group (747 cases accounting for 41.3%), and the high family health group (643 cases accounting for 35.6%). Multivariate Logistic regression analysis showed that family type, marital status, nature of household, education level, number of siblings and type of health insurance were significant factors influencing family health categories ( OR values were 0.464-2.503, all P<0.05). The family health was an important factor influencing quality of life ( χ2 values were 4.05-100.68, all P<0.05). Conclusions:There is significant heterogeneity in the family health of patients with chronic diseases, which can be divided into three distinct categories. Patients with higher family health levels have better quality of life. Medical professionals should develop precise intervention programs tailored to the characteristics of each category to improve family health levels and enhance the quality of life of patients with chronic diseases.

Oral lichen planus (OLP) is a chronic inflammatory disease occurring in the oral mucosa. Clinically, OLP presents with various lesion morphologies, attributed to differences in host immune responses. T-helper 17 cells (Th17) are a crucial component of the cellular immune response, primarily functioning through the secretion of interleukin 17 (IL-17). IL-17 plays a dual role in the oral mucosa: on one hand, it exerts a protective effect by promoting the recruitment of neutrophils driven by chemokines, enhancing the secretion of antimicrobial peptides, and strengthening the mucosal barrier; on the other hand, it binds to target cells in the mucosal tissue, activating downstream inflammatory signaling pathways such as nuclear factor kappa-B(NF-κB) and mitogen-activated protein kinase(MAPK), thereby initiating a pro-inflammatory cascade. This process increases the secretion of pro-inflammatory factors and promotes the recruitment and activation of immune cells, exacerbating inflammation. Current research extensively explores the correlation between the Th17/IL-17 axis and the pathogenesis and progression of OLP. This paper aims to review these developments to provide a research foundation for further elucidating the immunological mechanisms of OLP. Literature review results indicate that upregulation of Th17 and IL-17 in local lesion tissues and peripheral blood of OLP patients may be a key molecular event in the development of OLP. Compared to non-erosive OLP, higher expression levels of Th17 and IL-17 in the tissues and blood of patients with erosive OLP suggest a positive correlation between Th17/IL-17 and disease severity. Clinical studies demonstrate that targeted drugs against the Th17/IL-17 axis, by directly blocking IL-17 or inhibiting the production of Th17 cells, can effectively improve mucosal damage in OLP patients, showcasing potential as a new target for immune therapy. However, whether Th17 and IL-17 influence the pathogenesis of OLP by regulating the oral microbiome remains unclear. In summary, the Th17/IL-17 axis holds potential value as a new target for the immune therapy of OLP, warranting further in-depth research into its biological functions and signaling mechanisms within the inflammatory process of OLP.