scholarly journals Progress in Traditional Chinese Medicine Against Respiratory Viruses: A Review

2021 ◽  
Vol 12 ◽  
Author(s):  
Bao-Hong Li ◽  
Zhong-Yuan Li ◽  
Miao-Miao Liu ◽  
Jing-Zhen Tian ◽  
Qing-Hua Cui

Respiratory viruses, such as severe acute respiratory syndrome coronavirus (SARS-CoV)-1, SARS-CoV-2, influenza A viruses, and respiratory syncytial virus, pose a serious threat to society. Based on the guiding principles of “holism” and “syndrome differentiation and treatment”, traditional Chinese medicine (TCM) has unique advantages in the treatment of respiratory virus diseases owing to the synergistic effect of multiple components and targets, which prevents drug resistance from arising. According to TCM theory, there are two main strategies in antiviral treatments, namely “dispelling evil” and “fu zheng”. Dispelling evil corresponds to the direct inhibition of virus growth and fu zheng corresponds to immune regulation, inflammation control, and tissue protection in the host. In this review, current progress in using TCMs against respiratory viruses is summarized according to modern biological theories. The prospects for developing TCMs against respiratory viruses is discussed to provide a reference for the research and development of innovative TCMs with multiple components, multiple targets, and low toxicity.

2021 ◽  
Vol 5 (1) ◽  
Author(s):  
Xiaoyu Lu ◽  
Xinjie Hu ◽  
Mei Chen

Uterine fibroids are the most common benign tumors in gynecology. Traditional Chinese medicine treats uterine fibroids according to syndrome differentiation and treatment. The treatment of uterine fibroids has the characteristics of definitive curative effects and minor side-effects, but there are also many shortcomings, which require more in-depth research and exploration.


2021 ◽  
Author(s):  
Zonghai Huang ◽  
Ju Chen ◽  
Yanmei Zhong ◽  
Simin Yang ◽  
Yiyi Ma ◽  
...  

UNSTRUCTURED Syndrome differentiation and treatment is the core of traditional Chinese medicine(TCM) in the treatment of diseases. TCM doctors can dialectically classify the syndrome according to the patients' symptoms and conduct treatment. Syndrome differentiation can be regarded as a mathematical model for multi-classification of different high-dimensional sparse symptom vectors. The FGCNN can quickly and effectively extract the nonlinear cross features of sparse vectors in the CTR task. On this basis, we selected the data of 5273 real cases of dysmenorrhea and divided the symptoms into field according to the four diagnosis of TCM, so as to construct an improved Cross-FGCNN model and apply it to the intelligent dialectics of TCM. We used 6 kinds of intelligent dialectical models and 3 kinds of CTR models as comparisons at the same time. Cross-FGCNN can achieve 96.21% accuracy and 0.836 Log-Loss, which is better than other models. We maintain that the model of Cross-FGCNN can automatically extract the linear and nonlinear features of symptoms and classify them, having great potential in the intelligent dialectics of TCM in the future.


2020 ◽  
Vol 11 ◽  
Author(s):  
Qin Qiu ◽  
Yuge Huang ◽  
Xiaohua Liu ◽  
Fangfang Huang ◽  
Xiaoling Li ◽  
...  

The Coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 has been rapidly spreading globally and has caused worldwide social and economic disruption. Currently, no specific antiviral drugs or clinically effective vaccines are available to prevent and treat COVID-19. Traditional Chinese medicine (TCM) can facilitate syndrome differentiation and treatment according to the clinical manifestations of patients and has demonstrated effectiveness in epidemic prevention and control. In China, TCM intervention has helped to control the epidemic; however, TCM has not been fully recognized worldwide. In this review, we summarize the epidemiology and etiological characteristics of severe acute respiratory syndrome coronavirus 2 and the prevention and treatment measures of COVID-19. Additionally, we describe the application of TCM in the treatment of COVID-19 and the identification of small molecules of TCM that demonstrate anti-coronavirus activity. We also analyze the current problems associated with the recognition of TCM. We hope that, through the contribution of TCM, combined with modern technological research and the support of our international counterparts, COVID-19 can be effectively controlled and treated.


2020 ◽  
Author(s):  
Hai Long ◽  
Zhe Wang ◽  
Yidi Cui ◽  
Junhui Wang ◽  
Bo Gao ◽  
...  

Abstract Background: Psoriasis is a chronic, non-communicable, painful, disfiguring and disabling disease, which is not curable and strongly declines the patients’ quality of life (QoL). However, diagnose and treatment in traditional Chinese medicine (TCM) based on syndrome differentiation has been used in practice for a long time and has also achieved some effect. Though, up to now, only few studies are available reporting on the use of semantic technologies and pertain to knowledge systems that use TCM-syndrome differentiation for information retrieval and automated reasoning. Nowadays, the diagnosis in TCM relies mainly on the personal expertise and clinical experience of the doctors. For various reasons, misdiagnoses or missed diagnoses cannot be completely excluded, leading to unexpected results.Methods: Firstly, we developed a domain ontology for syndrome differentiation of psoriasis vulgaris. For this purpose, we used the ontology editor Protégé and applied a top-down approach which adopts the framework of general formal ontology (GFO) and its middle-level core ontology GFO-TCM. Furthermore, we implement a prototype which is based on this ontology. Additionally, we also used a case-database for CBR (Case Based Reasoning) combined with fuzzy pattern recognition.Results: A prototype for diagnosis and treatment of psoriasis vulgaris, named ONTOPV-system, is proposed which is based on the principle of syndrome differentiation and treatment in TCM; this system realizes an expert-assisted decision support method which relies on a domain ontology, uses fuzzy logic reasoning, and case retrieval and is intended to support clinical diagnostic decisions for TCM practitioners.Conclusions: We designed and implemented a prototype for psoriasis diagnosis in terms of syndrome differentiation. The system can not only realize the basic functionalities of data collection, querying, browsing and navigation, but also support rule-based knowledge reasoning and customize approximate reasoning based on CBR through fuzzy logic, which can provide users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis. In addition, it comprises a domain knowledge base of psoriasis, which is developed based on the GFO framework with good extensibility.


2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Xiaoyu Lu ◽  
Xinjie Hu ◽  
Mei Chen

Uterine fibroids are the most common benign tumors in gynecology. Traditional Chinese medicine treats uterine fibroids according to syndrome differentiation and treatment. The treatment of uterine fibroids has the characteristics of definitive curative effects and minor side-effects, but there are also many shortcomings, which require more in-depth research and exploration.


2020 ◽  
Author(s):  
Hai Long ◽  
Zhe Wang ◽  
Yidi Cui ◽  
Junhui Wang ◽  
Bo Gao ◽  
...  

Abstract Background: Psoriasis is a chronic, non-communicable, painful, disfiguring and disabling disease, which is not curable and strongly declines the patients’ quality of life (QoL). However, diagnose and treatment in traditional Chinese medicine (TCM) based on syndrome differentiation has been used in practice for a long time and has also achieved some effect. Though, up to now, only few studies are available reporting on the use of semantic technologies and pertain to knowledge systems that use TCM-syndrome differentiation for information retrieval and automated reasoning. Nowadays, the diagnosis in TCM relies mainly on the personal expertise and clinical experience of the doctors. For various reasons, misdiagnoses or missed diagnoses cannot be completely excluded, leading to unexpected results.Methods In the present paper, we developed a domain ontology for syndrome differentiation of psoriasis vulgaris (PV). For this purpose, we used the ontology editor Protégé and applied a top-down approach which adopts the framework of general formal ontology (GFO) and its middle-level core ontology GFO-TCM. Furthermore, we implemented a prototype which is based on this ontology. Additionally, we also used a case-database for CBR (Case Based Reasoning) combined with fuzzy pattern recognition.Results: A prototype for diagnosis and treatment of psoriasis vulgaris, named ONTOPV-system, is proposed which is based on the principle of syndrome differentiation and treatment in TCM; this system realizes an expert-assisted decision support method which relies on a domain ontology, uses fuzzy logic reasoning, and case retrieval and is intended to support clinical diagnostic decisions for TCM practitioners.Conclusions: We designed and implemented a prototype for psoriasis diagnosis in terms of syndrome differentiation. The system realizes the basic functionalities of data collection, querying, browsing and navigation, and supports rule-based knowledge reasoning and integrates approximative reasoning, based on CBR and fuzzy logic. The system provides users with clinical decision support for TCM syndrome differentiation in diagnosis of psoriasis. In addition, it comprises a domain knowledge base of psoriasis, which is developed in the GFO framework with good extensibility.


2021 ◽  
Vol 5 (4) ◽  
pp. 97-99
Author(s):  
Ningjing Wu ◽  
Rong Li ◽  
Zongliang Song

By collecting and sorting out the literature and journals on the clinical use of Chinese medicine in the treatment of diabetic nephropathy in recent years, it is concluded that Chinese medicine is effective in the treatment of DKD. Chinese medicine therapy has a unique role in the treatment of diabetic nephropathy. How to correct syndrome differentiation and treatment? Improving clinical effects is the research direction that all medical staff will work together in the future.


2021 ◽  
Vol 5 (4) ◽  
pp. 64-66
Author(s):  
Fen Zhang ◽  
Xingyu Chen ◽  
Di Sun ◽  
Ruixia Pei

In this article, we summarize the clinical experience of Professor Ruixia Pei, a famous traditional Chinese medicine practitioner in Shaanxi Province, China, in treating hyperthyroidism. The etiology and pathogenesis, syndrome differentiation, and medication experience are introduced in detail. This paper summarizes the advantages of Professor Pei’s methods of syndrome differentiation and treatment of hyperthyroidism. This may help enrich the clinical treatment of hyperthyroidism, and provide some diagnosis and treatment ideas.


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