Annals of medicine
-
Randomized Controlled Trial
Safety, tolerability and pharmacokinetics of forsythin in healthy subjects: a double-blinded, placebo-controlled single-dose and multiple-dose escalation and food effect study.
Forsythin, an active compound from Forsythiae Fructus, has the potential to treat the common cold and influenza through its antipyretic-analgesic, anti-inflammatory and antiviral effects. The safety, tolerability and pharmacokinetic (PK) profile of forsythin were evaluated in healthy Chinese subjects. ⋯ The safety and PK profiles of forsythin support further evaluation of its efficacy in individuals with the common cold or influenza.
-
Introduction: Poor oral hygiene is linked to high risks of many systemic diseases, including cancers. Oral dysbiosis is closely associated with poor oral hygiene, causing tooth loss, gingivitis, and periodontitis. We provide a summary of studies and discuss the risk factors for oesophageal squamous cell carcinoma (ESCC) from a microbial perspective in this review. ⋯ We also briefly explore the potential mechanisms underlying the tumor-promoting role of dysregulated microbiota for the development of therapeutic targeting strategies. Conclusion: Poor oral health is an established risk indicator of ESCC. The dysbiosis of microbiota in upper gastrointestinal tract that highly resembles the oral microbial ecosystem but with distinct features at individual sites contributes to the development and progression of ESCC.
-
This study aims to compare artificial intelligence (AI) systems applied in diabetic retinopathy (DR) teleophthalmology screening, currently deployed systems, fairness initiatives and the challenges for implementation. ⋯ Telemedicine and AI hold great promise for augmenting decision-making in medical care, expanding patient access and enhancing cost-effectiveness. Economic studies and social science analysis are crucial to support the implementation of AI in teleophthalmology screening programs. Promoting fairness and generalizability in automated systems combined with telemedicine screening programs is not straightforward. Improving data representativeness, reducing biases and promoting equity in deployment and post-deployment studies are all critical steps in model development.
-
The intricate web of cancer biology is governed by the active participation of long non-coding RNAs (lncRNAs), playing crucial roles in cancer cells' proliferation, migration, and drug resistance. Pioneering research driven by machine learning algorithms has unveiled the profound ability of specific combinations of lncRNAs to predict the prognosis of cancer patients. ⋯ In this comprehensive review, we meticulously examined the landscape of lncRNAs in predicting the prognosis of the top five cancers and other malignancies, aiming to provide a compelling reference for future research endeavours. Leveraging the power of machine learning techniques, we explored the predictive capabilities of diverse lncRNA combinations, revealing their unprecedented potential to accurately determine patient outcomes.
-
Parkinson's disease (PD) is one of the most common neurodegenerative diseases, second only to Alzheimer's disease. Drugs and deep brain stimulation (DBS) are the main treatments for PD. However, the long-term side effects of drugs and the risks of surgery cannot be ignored. ⋯ Although, yoga can address a range of health problems, little is known about its role in people with PD. This article reviews the evidence that yoga improves PD symptoms, including movement disorders, balance function and emotional disturbance. The authors analyze the role and shortcomings of the yoga intervention process, with the aim of providing a scientific basis for the application of yoga training to people with PD.