Recent Articles

Comparative polypharmacokinetics of nine anti-inflammatory components of Jinyinhua (Lonicerae Japonicae Flos) and Shanyinhua (Lonicerae Flos) in mice with p-xylene-induced ear edema

March 2023

L.I. Haiying | X.I.A.O. Meifeng | P.A.N. Xue | L.I. Wenjiao | Z.H.O.U. Yiqun | L.I.U. Wenlong | H.E. Fuyuan

To reveal the integral in vivo polypharmacokinetics (PPK) similarity or difference between Jinyinhua (Lonicerae Japonicae Flos, LJF) and Shanyinhua (Lonicerae Flos, LF), and provide reference for their...

The Schrödinger equation and its application in traditional Chinese medicine

March 2023

W.A.N. Xiaohai

Antidepressant-like active ingredients and their related mechanisms of functional foods or medicine and food homologous products

March 2023

Y.E. Tian | X.U. Mengtao | F.A.N.G. Jingpeng | W.U. Qinxuan | Z.O.U. Xiaoyan | Y.A.N. Fangqin | Q.I.N.G. Zhixing

To provide a new idea for the treatment of depression by summarizing the antidepressant effect and mechanism of active ingredients in functional food, and medicine and food homologous products....

Mechanism of Yishen Tonglong Decoction inhibiting TLR4/p38 MAPK/NF-κB signaling pathway against prostate cancer via upregulating miR-145-5p

March 2023

T.U. Yaling | L.I.U. Deguo | Y.A.N.G. Xian | L.I. Bo | C.H.E.N. Qihua

To investigate the mechanism of Yishen Tonglong Decoction (益肾通癃汤, YSTLD) inhibiting the toll-like receptor 4/p38 mitogen activated protein kinases/nuclear factor kappa-B (TLR4/p38 MAPK/NF-κB) signaling...

Establishment of basic principles and methods of acupuncture standardization in traditional Chinese medicine

March 2023

Guo Yi | L.I. Zhenji | Liu Baoyan | Sang Binsheng | F.U. Qiang | Zhao Xue | Chen Bo | Chen Zelin | Yang Huayuan | H.E. Liyun | Yang Yi | L.V. Zhongqian | Zhao Tianyi | L.I. Dan | F.U. Hua | Yuan Xinru

Standardization is the universal language of the world, and standardization of traditional Chinese medicine (TCM) is essential for its communication in China and globally. However, the principles and...

Structure-based virtual screening to predict Loxosceles spider venom natural inhibitors

March 2023

Haitham Ahmed Al-Madhagi

Loxosceles spider bite accidents are rising in wide areas of the world which necessitates the exploration of natural inhibitors to inhibit the most significant enzymes, namely sphingomyelinase D (Smase...

Visual analysis of research hotspots and trends of external therapies in traditional Chinese medicine for insomnia

March 2023

C.H.E.N. Shupeng | T.A.N.G. Nana | W.A.N.G. Simeng | L.I.U. Yinghua | Z.H.A.N.G. Zhiyong | C.H.E.N. Shiyu

To explore the current status and development trend of research on external therapies in traditional Chinese medicine (TCM) for insomnia over the past 10 years through bibliometrics and visual analysis,...

Artificial intelligence and its application for cardiovascular diseases in Chinese medicine

December 2022

Xiaotong CHEN | Yeuk-Lan Alice LEUNG | Jiangang SHEN

Cardiovascular diseases (CVDs) are major disease burdens with high mortality worldwide. Early prediction of cardiovascular events can reduce the incidence of acute myocardial infarction and decrease...

Construction and application of knowledge graph of Treatise on Febrile Diseases

December 2022

Dongbo LIU | Changfa WEI | Shuaishuai XIA | Junfeng YAN

To establish the knowledge graph of “disease-syndrome-symptom-method-formula” in Treatise on Febrile Diseases (Shang Han Lun,《伤寒论》) for reducing the fuzziness and uncertainty of data, and for laying...

A new interpretation of TCM pulse diagnosis based on quantum physical model of the human body

December 2022

Shuna SONG | Zhensu SHE

Following the quantum theory-based physical model of the human body, a new interpretation of the traditional Chinese medicine (TCM) principle of “Cunkou reads viscera” is presented. Then, a Gaussian...

Quantum theory-based physical model of the human body in TCM

December 2022

Shuna SONG | Zhensu SHE

In the study, a quantum resonant cavity model based on wave-particle duality was proposed for the explanation of the dynamic processes of essence, vigor, and spirit in the human body in traditional...

Heterogeneous graph construction and node representation learning method of Treatise on Febrile Diseases based on graph convolutional network

December 2022

Junfeng YAN | Zhihua WEN | Beiji ZOU

To construct symptom-formula-herb heterogeneous graphs structured Treatise on Febrile Diseases (Shang Han Lun,《伤寒论》) dataset and explore an optimal learning method represented with node attributes based...

Digitalization is a bridge for TCM striding towards information age

December 2022

ZHOU Xiaoqing

Data-driven based four examinations in TCM: a survey

December 2022

Dong SUI | Lei ZHANG | Fei YANG

Traditional Chinese medicine (TCM) diagnosis is a unique disease diagnosis method with thousands of years of TCM theory and effective experience. Its thinking mode in the process is different from that...

Research on knowledge reasoning of TCM based on knowledge graphs

December 2022

Zhiheng GUO | Qingping LIU | Beiji ZOU

With the widespread use of Internet, the amount of data in the field of traditional Chinese medicine (TCM) is growing exponentially. Consequently, there is much attention on the collection of useful...

MF2ResU-Net: a multi-feature fusion deep learning architecture for retinal blood vessel segmentation

December 2022

Zhenchao CUI | Shujie SONG | Jing QI

For computer-aided Chinese medical diagnosis and aiming at the problem of insufficient segmentation, a novel multi-level method based on the multi-scale fusion residual neural network (MF2ResU-Net)...

Application regularity of medicinal and dietary substances for patients during COVID-19 rehabilitation

September 2022

L.U.O. Binfei | H.E. Qingying | Y.I. Xingqian | L.I.U. Hongning | Z.H.U. Weifeng | W.U. Diyao | Z.H.A.N.G. Anran | Z.H.A.N.G. Xiaoping | C.H.E.N. Xiaofan

This study focused on the application regularity of medicinal and dietary substances (MDS) of traditional Chinese medicine (TCM) diet therapy during rehabilitation, in order to help patients with Corona...

Exploring the phytoconstituents targeting TNF-α as potential lead compounds to treat inflammatory diseases: an in-silico approach

September 2022

Sumit Arora | Pallavi Rushiya | Kalpana Tirpude | Nidhi Sapkal | Subhash Yende | Abhay Ittadwar | Sapan Shah

To explore the anti-inflammatory phytoconstituents from various plant sources as tumour necrosis factor-α (TNF-α)-inhibitor, a mediator involved in the inflammatory disorder, by in silico molecular...

Compound Chaijin Jieyu Tablets ameliorating insomnia complicated with depression by improving synaptic plasticity via regulating orexin A, melatonin, and acetylcholine contents

September 2022

H.A.N. Yuanshan | L.I.A.O. Xiaolin | R.E.N. Tingting | W.A.N.G. Yeqing | L.I. Zirong | Z.O.U. Manshu | W.A.N.G. Yuhong

To investigate the efficacy and mechanism of action of Compound Chaijin Jieyu Tablets (复方柴金解郁片, CCJJYT) in rats with insomnia complicated with depression....

Application of Nuc-mtDNA and DNA methylation analysis in life science and medical studies

September 2022

Zhang Jia | L.I. Kai | Liao Duanfang

Tongue image segmentation and tongue color classification based on deep learning

September 2022

L.I.U. Wei | C.H.E.N. Jinming | L.I.U. Bo | H.U. Wei | W.U. Xingjin | Z.H.O.U. Hui

To propose two novel methods based on deep learning for computer-aided tongue diagnosis, including tongue image segmentation and tongue color classification, improving their diagnostic accuracy....

Effects of Qingguang’an Granules on mitochondrial autophagy of retinal ganglion cells in rats with chronic ocular hypertension

September 2022

Tang Yu | Zhu Bingyao | Shi Jian | Liu Qianhong | Chen Lihao | Peng Qinghua | Peng Jun | Yao Xiaolei

To investigate the effect and underlying mechanism of Qingguang’an Granules (青光安颗粒剂, QGAG) on mitochondrial autophagy (mitophagy) of retinal ganglion cells (RGCs) in rats with chronic ocular hypertension...

Visual analysis of research hotspots and trends in the treatment of immune thrombocytopenia with traditional Chinese medicine

September 2022

Gao Yao | Wu Zhenhui | Wu Min | Abid Naeem | Li Weizhizi | Zhang Daling | Liu Fan | Zeng Yingjian

Through bibliometrics and visual analysis of the related studies on traditional Chinese medicine (TCM) treatment of immune thrombocytopenia (ITP), this study aims to sort out the overall research progress,...