인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Diabetes, a chronic metabolic non-communicable disease, has become prevalent worldwide. Its prevalence is increasing at an alarming rate, and the affected population is becoming increasingly younger, posing a serious threat to both individual health and social well-being. Notably, type 2 diabetes mellitus (T2DM) accounts for more than 90% of all diabetes cases, a statistic that underscores its dominant position in the disease burden. Despite substantial progress in the field of diabetes treatment, existing diabetes medications still fail to fully address the complex and pressing clinical needs of patients. Therefore, the development of new therapeutic drugs for T2DM is of crucial significance. Traditional Chinese medicine (TCM) has shown significant potential in alleviating the symptoms of T2DM and improving patients' quality of life, providing an effective complementary approach to conventional treatments. This study systematically clarifies and reviews the pathogenesis of T2DM from multiple dimensions, including inflammation, oxidative stress, ferroptosis, pyroptosis, necroptosis, autophagy, and gut microbiota. It also examines and summarizes TCM compound formulations and their main active ingredients that can improve the disease, and elucidates the disease-improving effects of these TCM ingredients targeting the aforementioned mechanisms. Studies have shown that TCM plays an important role in improving T2DM by targeting key mechanisms such as insulin resistance, β-cell damage, and glucose-lipid metabolism disorders. This not only provides valuable ideas and reference basis for researchers in endocrine basic research, pharmacologists, and clinicians to develop TCM with low toxicity and side effects but also opens up new research directions for the treatment of T2DM and lays a theoretical foundation for new drug development.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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