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Jikan Mingmu Drops (JMD), a traditional Tibetan medicine containing six herbs, has been used to treat dry eye syndrome (DES) in individuals with diabetes mellitus. However, the activity of JMD ameliorates DES with diabetes mellitus has not been previously examined. The aim of the study is to investigate the molecular mechanism of JMD on db/db mice. The main chemical constituents of JMD were analyzed by high-performance liquid chromatography and gas chromatography-mass spectrometry. DES was then induced in db/db mice by applying 0.2% benzalkonium chloride to the ocular surface for 7 days. Eye drops containing JMD (0.25, 0.5, or 1 g/mL) or vehicle subsequently were administered three times daily for another 7 days, and the therapeutic effects were evaluated by phenol red thread tear and sodium fluorescein tests. Conjunctival specimens were subjected to hematoxylin and eosin staining and periodic acid-Schiff staining to examine pathological changes and number of goblet cells. ELISA was performed to assess the levels of various inflammatory cytokines. JMD contains hydroxysafflor yellow A, magnoflorine, jatrorrhizine hydrochloride, palmatine hydrochloride, berberine hydrochloride, gallic acid, ellagic acid, tauroursodeoxycholic acid, camphor, isoborneol, borneol, trans-cinnamic acid, and muscone. JMD treatment significantly increased the tear volume, decreased the corneal fluorescein staining score, restored the morphology and structure of conjunctival epithelial cells, and markedly downregulated the levels of interleukin (IL)-6, IL-17α, IL-1β, tumor necrosis factor-α, and vascular endothelial growth factor in the conjunctiva. Further data showed that these protective effects were accompanied by inhibition of inflammation in a dose-dependent manner. Amelioration of DES in db/db mice with diabetes mellitus by treatment with Tibetan medicine formula JMD maybe related to its anti-inflammatory effects.
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.