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Record 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 on OpenAlexaff
Pengqian Wang, William C. Cho, Dewei Ye, Yuqing Zhang, Xingjiang Xiong

Bibliographic record

VenueFrontiers in Pharmacology · 2024
Typeeditorial
Languageen
FieldMedicine
TopicTraditional Chinese Medicine Studies
Canadian institutionsMcMaster University
FundersChina Academy of Chinese Medical SciencesNational Natural Science Foundation of China
KeywordsTranslational medicineTraditional Chinese medicineMedicineTranslational researchAlternative medicineTraditional medicineEngineering ethicsPathologyEngineering

Abstract

fetched live from 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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.063
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.177
GPT teacher head0.518
Teacher spread0.342 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEditorial

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2024
Admission routes1
Has abstractyes

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