The ideal treatment timing for diabetic retinopathy: the molecular pathological mechanisms underlying early-stage diabetic retinopathy are a matter of concern.

Diabetic retinopathy (DR) is a prevalent complication of diabetes, significantly impacting patients' quality of life due to vision loss. No pharmacological therapies are currently approved for DR, excepted the drugs to treat diabetic macular edema such as the anti-VEGF agents or steroids administered by intraocular route. Advancements in research have highlighted the crucial role of early intervention in DR for halting or delaying disease progression. This holds immense significance in enhancing patients' quality of life and alleviating the societal burden associated with medical care costs. The non-proliferative stage represents the early phase of DR. In comparison to the proliferative stage, pathological changes primarily manifest as microangiomas and hemorrhages, while at the cellular level, there is a loss of pericytes, neuronal cell death, and disruption of components and functionality within the retinal neuronal vascular unit encompassing pericytes and neurons. Both neurodegenerative and microvascular abnormalities manifest in the early stages of DR. Therefore, our focus lies on the non-proliferative stage of DR and we have initially summarized the mechanisms involved in its development, including pathways such as polyols, that revolve around the pathological changes occurring during this early stage. We also integrate cutting-edge mechanisms, including leukocyte adhesion, neutrophil extracellular traps, multiple RNA regulation, microorganisms, cell death (ferroptosis and pyroptosis), and other related mechanisms. The current status of drug therapy for early-stage DR is also discussed to provide insights for the development of pharmaceutical interventions targeting the early treatment of DR.

Shumian capsule improves symptoms of sleep mood disorder in convalescent patients of Corona Virus Disease 2019.

OBJECTIVE: To evaluate the clinical effectiveness of Shumian capsule in improving the symptoms of insomnia, anxiety, depression, and other symptoms of convalescent patients of COVID-19. METHODS: Totally 200 patients were collected and randomly divided into experiment group (n = 100) and control group (n = 100). The control group was treated with Shumian capsule simulator, and the experiment group was treated with Shumian capsule. The improvement of TCM symptom score, the total effective rate and symptom disappearance rate of TCM symptoms in the two groups before and after treatment were observed, and the clinical effect was evaluated. RESULTS: One week after treatment, the scores of anxiety symptoms in the experiment group were significantly different from those in the control group (P < 0.05), but there was no significant difference in the scores of insomnia and depression between the experiment group and the control group (P > 0.05). There was no significant difference in the total effective rate and disappearance rate of TCM symptoms of insomnia, anxiety and depression between the experiment group and the control group (P > 0.05). After 2 weeks of treatment, the scores of insomnia, anxiety, depression and the total effective rate of TCM symptoms in the experiment group were significantly different from those in the control group (P < 0.05). There was no significant difference in the disappearance rate of insomnia, anxiety and depression between the experiment group and the control group (P > 0.05). There were no significant differences in heart rate, respiration, systolic blood pressure and diastolic blood pressure between the experiment group and the control group (P > 0.05). CONCLUSION: Shumian capsule can significantly improve the symptoms of insomnia, anxiety and depression in COVID-19's convalescent patients with sleep and mood disorders.

Traditional Chinese Medicine Decoctions Significantly Reduce the Mortality in Severe and Critically Ill Patients with COVID-19: A Retrospective Cohort Study.

Coronavirus disease (COVID-19) is a new infectious disease associated with high mortality, and traditional Chinese medicine decoctions (TCMDs) have been widely used for the treatment of patients with COVID-19 in China; however, the impact of these decoctions on severe and critical COVID-19-related mortality has not been evaluated. Therefore, we aimed to address this gap. In this retrospective cohort study, we included inpatients diagnosed with severe/critical COVID-19 at the Tongren Hospital of Wuhan University and grouped them depending on the recipience of TCMDs (TCMD and non-TCMD groups). We conducted a propensity score-matched analysis to adjust the imbalanced variables and treatments and used logistic regression methods to explore the risk factors associated with in-hospital death. Among 282 patients with COVID-19 who were discharged or died, 186 patients (66.0%) received TCMD treatment (TCMD cohort) and 96 (34.0%) did not (non-TCMD cohort). After propensity score matching at a 1:1 ratio, 94 TCMD users were matched to 94 non-users, and there were no significant differences in baseline clinical variables between the two groups of patients. The all-cause mortality was significantly lower in the TCMD group than in the non-TCMD group, and this trend remained valid even after matching (21.3% [20/94] vs. 39.4% [37/94]). Multivariable logistic regression model showed that disease severity (odds ratio: 0.010; 95% CI: 0.003, 0.037; [Formula: see text]¡ 0.001) was associated with increased odds of death and that TCMD treatment significantly decreased the odds of in-hospital death (odds ratio: 0.115; 95% CI: 0.035, 0.383; [Formula: see text]¡ 0.001), which was related to the duration of TCMD treatment. Our findings show that TCMD treatment may reduce the mortality in patients with severe/critical COVID-19.