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Enregistrement W4394817355 · doi:10.3389/fphar.2024.1392930

Editorial: Clinical evidence for and advances in translational research on the classic formulas of traditional Chinese medicine

2024· editorial· en· W4394817355 sur OpenAlexaff
Pengqian Wang, William C. Cho, Dewei Ye, Yuqing Zhang, Xingjiang Xiong

Notice bibliographique

RevueFrontiers in Pharmacology · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueTraditional Chinese Medicine Studies
Établissements canadiensMcMaster University
Organismes subventionnairesChina Academy of Chinese Medical SciencesNational Natural Science Foundation of China
Mots-clésTranslational medicineTraditional Chinese medicineMedicineTranslational researchAlternative medicineTraditional medicineEngineering ethicsPathologyEngineering

Résumé

récupéré en direct d'OpenAlex

Traditional Chinese medicine (TCM), one of the ancient healing practices with a history of more than 2,500 years and unique theories, has been making a great contribution to human healthcare. It includes Chinese herbal medicine, food therapy, acupuncture, moxibustion, massage (tuina), physical exercises, etc (Tang, et al., 2008), which is gaining increasingly popularity in other Asian and Western countries. Classic formula of TCM, with clear verifiable scientific literature on the traditional usage, is generally recognized as being from ancient medical books such as Treatise on Febrile Diseases (伤寒论, Shang Han Lun), Synopsis of the Golden Chamber (金匮要略, Jin Gui Yao Lue), etc. As TCM is also popular in Japan and Korea, classic formula of TCM is also widely used in traditional Japanese Kampo medicine and traditional Korean medicine. It possesses the characteristics of fixed components (generally greater than or equal to 2 herbs), clear curative effect with fewer adverse effects in clinical treatment. Classic formula of TCM has made a substantial contribution to the well-being including viral infection diseases, cardiovascular and cerebrovascular diseases, digestive disease, endocrine disease, tumors, etc.Currently, rigorous 'totality of the evidence' including chemical standardization, biological assays, experimental studies, and clinical trials of classic formula in TCM is gradually receiving attention from modern medicine. Several paradigms in clinical and translation researches of classic formula of TCM, including Tianma Gouteng decoction for hypertension (Zhang, et al., 2020), Qili qiangxin capsule (Shenfu decoction) for chronic heart failure (Li, et al., 2013), Tian qi jiang tang capsule (Yuye decoction) for impaired glucose tolerance (Lian, et al., 2014), Gegenqinlian decoction for T2DM (Xu, et al., 2015), Hemp Seed pill for functional constipation (Zhong, et al., 2018), Tong xie yao fang-based Chinese herbal medicine for irritable bowel syndrome (Bensoussan, et al., 1998), Maxingshigan decoction-Yinqiaosan for H1N1 influnza virus (Wang, et al., 2011), Maxingshigan decoction for COVID-19 (Hu, et al., 2021), PHY906 (Huangqin decoction) for chemotherapy-induced gastrointestinal toxicity (Lam, et al., 2010), and Shenfu injection for patients with return of spontaneous circulation after in-hospital cardiac arrest (Zhang, et al., 2017), etc., highlight the tremendous progress and advances in this field (as shown in Table 1). Furthermore, a great amount of clinical evidence provided some biological functions and potential mechanisms of classic formula of TCM. It suggests that classic formula of TCM could be considered an effective complementary and alternative approach in the future.Due to the challenge of 'improving investments, declining drug approval' in modern drug research and development, scientists have turned their attention to natural herbs and classic formula of TCM for promising drugs and candidates. Some derivatives from natural products have been widely used as cornerstones in Western medicine, including aspirin, digitalis, paclitaxel, etc. Recently, the natural herbs and classic formula of TCM-oriented new drug development model has achieved significant breakthroughs, including artemisinin and dihydroartemisinin for malaria (Tu, 2011), arsenic trioxide for acute promyelocytic leukemia (Soignet, et al., 1998), tripterygium glycosides for active rheumatoid arthritis (Lv, et al., 2015), red yeast rice for hyperlipidemia (Zhao, et al., 2004), berberine for hyperlipidemia and diabetes (Kong, et al., 2004;Zhang, et al., 2008), etc., which can avoid blind screening and reduce the cost and time required for drug development.Nevertheless, given the difficulty of retrieving original literature in Chinese, the poor methodological quality of original clinical trials including a high risk of bias, unclear reporting of outcome measures, lack of pre-registration in an international database, lack of high-level clinical recommendation evidence, and insufficient data reports on toxicology, pharmacological effects, and adverse effects, quite a few classic formulas of TCM have been regarded as a "mystery" to modern science. Accordingly, more clinical and experimental data are still warranted to verify their application value.Altogether, in this Research Topic, 43 papers were collected, out of which 8 papers were accepted for publication. The original research articles and reviews in this special issue covered a wide range of medical fields, including essential hypertension, contrast-induced nephropathy after percutaneous coronary interventional, hepatocellular carcinoma, lung cancer, doxorubicin-induced cardiotoxicity, DNCB-induced atopic dermatitis-like skin lesions, heat stroke, etc. The other two articles focused on heat stroke and the quality markers research of classic formulas of TCM.More and more evidence shows that classic formulas of TCM have important clinical value in the treatment of chronic diseases, infectious diseases, etc. These findings in this research topic significantly promoted the comprehension of the therapeutic efficacy and the potential protective mechanisms of classic formulas of TCM. In conclusion, this special issue explored the new clinical evidence and novel approaches in the application of classic formulas in treating various diseases, paving the evidence-based way.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,011
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Intégrité de la recherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,063
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,011
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,002
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,004
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,177
Tête enseignante GPT0,518
Écart entre enseignants0,342 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2024
Routes d'admission1
Résumé présentoui

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