There are thousands of medicinal formulas in the ancient Tibetan medical texts. Researching the composition rules of Tibetan medical formulas is a very important step in the study and practice of Tibetan medicine. In order to explore the composition rules of Tibetan medical formulas this article draws on the research methods utilized in related fields of traditional Chinese medicine adapted to the unique characteristics of Tibetan medicine. This is the first time the utilization of data mining methods has been proposed for the research of Tibetan medical formulas. It is believed that data mining techniques can aid researchers in discovering the composition rules of Tibetan medical formulas in accordance with Tibetan medical theory.
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BMC Public Health
December 2024
Medical College of Tibet University, No. 10 East Zangda Road,Chengguan District, Lhasa, 850000, China.
Background: The prevalence of hypertension among the Tibetan population in Tibet is higher than in other regions of China, and there is a lack of unified epidemiological surveys. This study aims to conduct a standardized epidemiological investigation to assess the current status of hypertension among the Tibetan population, as well as to explore the dose-response relationship between cholesterol (TC), triglyceride glucose index (TyG), triglyceride glucose-body mass index (TyG-BMI), and hypertension in this population.
Methods: From June 2020 to July 2023, a total of 5042 Tibetans aged 18 to 80 years from three cities and one region in Tibet were randomly sampled for the study.
Invest Ophthalmol Vis Sci
December 2024
The Sichuan Provincial Key Laboratory for Human Disease Gene Study and Center for Medical Genetics, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, China.
Purpose: N6-methyladenosine (m6A) modification, one of the most common epigenetic modifications in eukaryotic mRNA, has been shown to play a role in the development and function of the mammalian nervous system by regulating the biological fate of mRNA. METTL3, the catalytically active component of the m6A methyltransferase complex, has been shown to be essential in development of in the retina. However, its role in the mature retina remains elusive.
View Article and Find Full Text PDFFront Microbiol
December 2024
Key Laboratory of Yak Breeding Engineering of Gansu Province, Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Sciences, Lanzhou, China.
Yak () is a large ruminant endemic to the Tibetan plateau. The addition of enzyme complexes to feed can significantly improve their growth performance. Therefore, studying the effects of ruminant compound enzyme preparations dosage on yak rumen microorganisms and production performance is crucial to promoting the development of the yak industry.
View Article and Find Full Text PDFJAMA Netw Open
December 2024
School of Management, Shanxi Medical University, Taiyuan, China.
Importance: Blinding of individuals involved in randomized clinical trials (RCTs) can be used to protect against performance and biases, but discrepancies in the reporting of methodological features between registered protocols and subsequent trial publications may lead to inconsistencies, thereby reintroducing bias.
Objective: To investigate inconsistency in blinding as reported in trial registries and publications.
Data Sources: An exploratory dataset and a validation dataset were created.
Front Mol Biosci
December 2024
Center for Scientific Research, Yunnan University of Chinese Medicine, Kunming, China.
Background: Pterygium is a complex ocular surface disease characterized by the abnormal proliferation and growth of conjunctival and fibrovascular tissues at the corneal-scleral margin. Understanding the underlying molecular mechanisms of pterygium is crucial for developing effective diagnostic and therapeutic strategies.
Methods: To elucidate the molecular mechanisms of pterygium, we conducted a differential gene expression analysis between pterygium and normal conjunctival tissues using high-throughput RNA sequencing.
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