Efficacy and safety of Kegan Liyan oral liquid for patients with acute pharyngitis: A randomized, double-blinded, placebo-controlled, multi-center trial.

BACKGROUND: Alleviating the sore throat caused by acute pharyngitis is a primary patient concern. However, antibiotics are not commonly recommended drugs, and abuse can lead to serious consequences such as drug resistance. Therefore, seeking alternative treatments is necessary. PURPOSE: To investigate the efficacy and safety of Kegan Liyan (KGLY) oral liquid for patients with acute pharyngitis. STUDY DESIGN: Randomized, double-blinded, placebo-controlled, multi-center study. METHODS: Participants from 17 hospitals were randomly assigned 1:1 to receive KGLY oral liquid or placebo for five days. Assessments occurred at baseline, day 3, and day 6. The primary outcome was the recovery rate. Secondary outcomes included sore throat and cough visual analogue scale (VAS), the area under the curve (AUC) of sore throat VAS, time to sore throat relief and recovery, proportion of participants with sore throat relief and recovery, traditional Chinese medicine (TCM) syndrome score, single TCM manifestation score and use of acetaminophen. RESULTS: Involving 239 participants (120 in KGLY and 119 in placebo group), the study found a significantly higher recovery rate on day 6 in the KGLY group (between-group difference, 27.20 % [15.00 % to 39.40 %], p < 0.001). On day 3 and 6, the KGLY group showed significantly larger reductions in sore throat (-3.02 vs -2.37, p = 0.001; -4.66 vs -3.64, p < 0.001) and cough VAS scores (-1.55 vs -1.05, p = 0.004; -2.28 vs -1.56, p < 0.001) from baseline. KGLY oral liquid lowered the AUC of sore throat VAS score (-2.33 [-4.10 to -0.56], p = 0.011), shortened time to sore throat recovery (hazard ratio, 0.42 [0.30 to 0.59], p < 0.001), increased sore throat recovery rate at day 6 (75.00 % vs 42.86 %, p < 0.001), decreased the TCM syndrome score (-2.03 [-2.69 to -1.37], p < 0.001), and improved individual TCM symptoms compared to placebo. No significant differences between the groups in acetaminophen usage. KGLY oral liquid was safe and tolerated. CONCLUSION: KGLY oral liquid may be a beneficial and safe alternative treatment for acute pharyngitis, which can alleviate symptoms such as sore throat, swollen throat, cough, and phlegm production.

Qianggu concentrate: unlocking bone protection power via antioxidative SIRT1/NRF2/HO-1 pathways in type 2 diabetic osteoporosis.

Background: Qianggu Concentrate (QGHJ), a traditional Chinese medicine, is extensively used to treat Type 2 Diabetic Osteoporosis (T2DOP). Despite its widespread use, research on its therapeutic mechanisms within T2DOP is notably scarce. Objective: To explore QGHJ's osteoprotection in T2DOP rats and BMSCs, focusing on the antioxidant activation of SIRT1/NRF2/HO-1 and NRF2 nuclear migration. Methods: QGHJ constituent analysis was performed using UPLC-HRMS. Safety, bone-health efficacy, and glucose metabolic effects in T2DOP rats were evaluated via general condition assessments, biomarker profiling, micro-CT, biomechanics, staining methods, and ELISA, supplemented by RT-qPCR and Western blot. BMSCs' responses to QGHJ under oxidative stress, including viability, apoptosis, and osteogenic differentiation, were determined using CCK-8, flow cytometry, ALP/ARS staining, and molecular techniques. The modulation of the SIRT1/NRF2/HO-1 pathway by QGHJ was explored through oxidative stress biomarkers, immunofluorescence, and Western blot assays. Results: UPLC-HRMS identified flavonoids, monoterpenes, and isoflavones as QGHJ's key compounds. In vivo, QGHJ proved safe and effective for T2DOP rats, enhancing bone mineral density, microenvironment, and biomechanical properties without impairing vital organs. It modulated bone markers PINP, TRACP 5b, RUNX2 and PPARγ, favoring bone anabolism and reduced catabolism, thus optimizing bone integrity. QGHJ also regulated glycemia and mitigated insulin resistance. In vitro, it preserved BMSCs' viability amidst oxidative stress, curbed apoptosis, and fostered osteogenesis with regulated RUNX2/PPARγ expression. Mechanistic insights revealed QGHJ activated the SIRT1/NRF2/HO-1 pathway, augmented NRF2 nuclear translocation, and enhanced the antioxidative response, promoting bone health under stress. Conclusion: In T2DOP rat and BMSCs oxidative stress models, QGHJ's bone protection is anchored in its antioxidative mechanisms via the SIRT1/NRF2/HO-1 pathway activation and NRF2 nuclear translocation.

Examining the Links Between Physical Activity, Sitting Time, and Renal Function in T2DM Patients.

Background: Sitting time and physical activity are related to renal function among type 2 diabetes mellitus (T2DM); however, the mechanism of how it contributes to renal function is not well understood. The current study attempts to explore the relationship between sitting time and renal function among T2DM patients, with a particular focus on the mediating role of physical activity. Methods: This research uses the data of 1761 Chinese T2DM patients from Ningxia Province. Sitting time and physical activity were obtained during a face-to-face survey, and renal function was assessed by the estimated glomerular filtration rate (eGFR). The bootstrap method is used to test the mediating effect. Results: The research found that sitting time was negatively associated with eGFR and physical activity after controlling for covariates. Physical activity was positively associated with eGFR. Physical activity has mediated the relationship between sitting time and eGFR among T2DM patients (explaining 16.1% of the total variance). Conclusion: The present findings suggest that sitting time negatively affects eGFR among T2DM patients and provides new evidence that physical activity could attenuate the association between sitting time and eGFR. Hence, intervention strategies focusing on sitting time and physical activity should be paid more attention in the future.

The Association Between Health-Related Behaviors and Traditional Chinese Medicine Syndromes in Type 2 Diabetes Mellitus Patients.

Background: Traditional Chinese medicine (TCM) has certain advantages in treating diabetes via TCM syndromes differentiation, and health-related behaviors can regulate TCM syndromes. This study aimed to identify the clusters of TCM syndromes in type 2 diabetes mellitus (T2DM) patients and to explore the association between health-related behaviors and those TCM syndromes clusters. Methods: This was a cross-sectional study of 1761 T2DM patients from the Ningxia Province. The TCM syndromes (11 TCM syndromes in total) scale was used to collect the syndrome information. Health-related behaviors, including smoking, alcohol use, tea drinking, the intensity of physical activity, sleep quality, and sleep duration, were collected via a face-to-face interview questionnaire. Latent profile analysis was employed to identify clusters of 11 TCM syndromes. Multinomial logistic regression was employed to examine the relationships between health-related behaviors and clusters of TCM syndromes. Results: TCM syndromes in T2DM patients were classified into three profiles using latent profile analysis: light, moderate, and heavy. Participants with poor health-related behaviors were more likely to have heavy 1.49 (95% CI: 1.12, 1.99) or moderate 1.75 (95% CI: 1.10, 2.79) profiles than those with good health-related habits. Smokers, tea drinkers, and those with poor sleep quality were more likely to have a moderate profile and heavy profile than a light profile. Compared with heavy physical activity, moderate activity 0.24 (95% CI: 0.07, 0.88) was negatively associated with a heavy profile. Conclusion: Results showed that most participants had light or moderate levels of TCM syndromes, and those with poor health-related behaviors were more likely to have heavy or moderate profiles. In the context of precision medicine, these results have important implications for understanding the prevention and treatment of diabetes via changing lifestyles and behaviors to regulate TCM syndromes.

The Relationship Between Social Capital and Hypertension Among Type 2 Diabetes Mellitus Patients: The Moderating Effect of Depressive Symptoms.

Purpose: This study aimed to evaluate the relationship between social capital (SC) and hypertension among type 2 diabetes mellitus (T2DM) patients, considering the moderation effects of depressive symptoms. Patients and Methods: A total of 1761 Chinese T2DM patients completed measure scales of social capital and epidemiological survey depression scale (CES-D). The Bootstrap methods PROCESS program is employed to test the moderation model. Results: The prevalence of hypertension among T2DM patients was 39.3%. The SC was negatively correlated with the CES-D score (r=-0.18, P<0.01); the SC was also negatively correlated with diastolic blood pressure (r=-0.05, P<0.05); and the CES-D score was positively correlated with systolic blood pressure (r=0.05, P<0.05). Both logistic regression analysis and the Bootstrap method showed that depressive symptoms weakened the protective effect of SC on hypertension, there existed a moderating effect of depressive symptoms on the relationship between SC and hypertension among T2DM patients. Conclusion: Depressive symptoms may be one crucial moderator of the relationship between SC and hypertension in a representative sample of Chinese diabetes patients. The findings indicate that improving SC and mental health may help manage hypertension among T2DM patients.

The association between blood glucose levels and lipids or lipid ratios in type 2 diabetes patients: A cross-sectional study.

Background: Lipids and lipid ratios are associated with complications of diabetes mellitus type 2 (T2DM), such as cardiovascular disease, but the relationship between blood glucose levels and lipid or lipid ratios is not fully understood in T2DM patients. This study assesses the association between blood glucose levels and lipid or lipid ratios in a cohort of T2DM patients. Methods: A total of 1,747 Chinese T2DM patients from the Ningxia province of China were included in this cross-sectional study. Lipid parameters, including triglycerides (TG), total cholesterol (TC), high-density lipoprotein (HDL-C), low-density lipoprotein (LDL-C), and fasting blood glucose levels were measured quantitatively using standard methods. Fasting blood glucose was divided into three groups. A multiple mixed-effect linear regression model was conducted to identify a potential association between blood glucose and lipid parameters. Results: There was a positive association between blood glucose and TG levels (ß=0.34, 95% CI: (0.20, 0.48), p<0.01); every 1 mmol/L increase in blood glucose levels resulted in a 0.34 mmol/L increase in TG. Blood glucose levels were also associated with high LDL (ß=0.08, 95% CI: (0.02, 0.14), p<0.01), TG/HDL-C (ß=0.31, 95% CI: (0.13, 0.49), p<0.01), and LDL-C/HDL-C (ß=0.13, 95% CI: (0.06, 0.20), p<0.01) levels. After controlling for demographic variables, health-related behaviors, and physical health variables, a positive association between blood glucose levels and TG (ß=0.31, 95% CI: (0.17, 0.45), p<0.01) and LDL-C (ß=0.08, 95% CI: (0.02, 0.13), p<0.01) levels and an in increase in TG/HDL-C (ß=0.28, 95% CI: (0.09, 0.46), p<0.01) and LDL-C/HDL-C (ß=0.11, 95% CI: (0.04, 0.18), p<0.01) ratios was found. Conclusion: A correlation between blood glucose levels and serum lipids or lipid ratios has been established in this study. Blood glucose levels were positively associated with TG and LDL-C levels and elevated TG/HDL-C and LDL-C/HDL-C ratios.

Mediating Role of Depressive Symptoms on the Association Between Neighborhood Social Cohesion and Quality of Life in Individuals with Type 2 Diabetes Mellitus.

Purpose: Few studies have explored the association between neighborhood social cohesion (NSC), a type of social capital, and the quality of life of patients with type 2 diabetes mellitus (T2DM). In addition, the potential mechanism for this association remains unclear. The current study examined the mediation effect of depressive symptoms on the relationship between NSC and quality of life among diabetes patients in China. Patients and Methods: A cross-sectional study of 1747 T2DM patients was conducted. The specific quality of life (DSQL), Center for Epidemiological Survey Depression (CES-D), and social capital scales were administered using a face-to-face survey. Partial correlation analysis and a linear regression model were employed to explore the relationship between NSC, depressive symptoms, and quality of life. Bootstrap analysis using PROCESS was used to test the mediation model. Results: After controlling for covariates, NSC was negatively correlated with depressive symptoms (r=-0.24, P<0.01) and DSQL score (r=-0.20, P<0.01) while depressive symptoms were positively correlated with DSQL score (r=0.46, P<0.01). Linear regression analysis also found that NSC was negatively associated with the DSQL score, while depressive symptoms were positively associated with the DSQL score. Depressive symptoms mediated the relationship between NSC and quality of life in T2DM patients (explaining 50.7% of the total variance). Conclusion: NSC was positively associated with improved quality of life among Chinese T2DM patients in this study, and depressive symptoms were likely to partially explain this relationship. These findings may be used to help maintain a good quality of life among at-risk individuals. Additional prospective studies are needed to confirm these findings.

Relationship Between Social Capital and Depressive Symptoms Among Type 2 Diabetes Mellitus Patients in Northwest China: A Mediating Role of Sleep Quality.

Objective: There are few studies about the relationship between social capital (SC) and depression among type 2 diabetes mellitus (T2DM) patients, and the mechanism explaining how SC leads to decreased depression is unclear. The current study aims to explore the relationship between SC and depressive symptoms among the T2DM patients in northwest China, with a particular focus on the mediating role of sleep quality. Methods: A cross-sectional study of 1,761 T2DM patients from Ningxia Province was conducted. The Center for Epidemiological Survey Depression Scale (CES-D) and self-report sleep quality questionnaire coupled with the SC scales were administered during the face-to-face survey. The Bootstrap methods PROCESS program is employed to test the mediation model. Results: The prevalence of depressive symptoms among T2DM patients was 24.8%. After controlling for covariates, the SC (r = -0.23, p < 0.001) was negatively correlated with CES-D score; the sleep quality was also negatively correlated with CES-D score (r = -0.31, p < 0.001); and the SC was positively correlated with sleep quality (r = 0.10, p < 0.001). Logistic regression analysis showed that SC was inversely related to the risk of depressive symptoms. Meanwhile, sleep quality was negatively associated with depressive symptoms. Sleep quality has mediated the relationship between SC and depressive symptoms among T2DM patients (explaining 12.6% of the total variance). Conclusions: We elucidated how SC interacted with depressive symptoms through the mediation pathway of sleep quality using a representative sample of the Chinese diabetes patients. The findings indicate that the improvement of SC and sleep quality may help in maintaining mental health among T2DM patients. Hence, clinicians can suggest that patients communicate more with others to improve the SC and, in turn, maintain their health.