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Editors-in-Chief: HC Shang, PhD. Prof.
ISSN 2537-9798
6TMR Modern Herbal Medicine is a peer-reviewed quarterly journal sponsored by TMR publishing group. The journal publishes peer-reviewed original articles including reviews, commentaries, clinical and basic research, case report, conference announcement and letters to the editor about the modern herbal medicine. TMR Modern Herbal Medicine focus on the areas of herbal resources and planting, processing of herbal medicine and herbal slices, herbal preparation and production technology, pharmacology and toxicology, clinical assessment. ... More

Current Issue     25 October 2019, Volume 2 Issue 4 Previous Issue   
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Original Article
Compatible stability study of XingNaoJing injection based on physical-chemical properties analysis
Dong-Li Qi, Chun-Xia Liang, Yue-Lin Zhang, Yan-Quan Gao, Yue Xing, Hong-Li Yan, Bing Zhang, Jia-Rong Xie, Zhi-Dong Liu
6TMR Modern Herbal Medicine. 2019, 2 (4): 173-182.   https://doi.org/10.12032/TMRmhm2017A55
Abstract ( 60 )     PDF (1140KB) ( 33 )  
Objective: The clinical treatment of brain diseases is urgent. Xingnaojing (XNJ) injection is often used in combination with other injection drugs. Due to the possible interaction between the injections in vivo, the particle size, osmotic pressure, pH value change and component stability decrease, that is one of the important factors causing various adverse reactions. Based on the above situation, this study investigated the physical properties and chemical composition changes of XNJ injection and its compatibility solvent and 13 kinds of clinical injection, speculated the possible interactions between the drugs in vivo from the perspective of in vitro compatibility stability, find out the safety risks of adverse reactions and provide guidance for the safe and rational use of XNJ injection. Methods: According to the clinical application, XNJ injection was mixed with 13 combination injections based on 250 mL 5% glucose injection, and placed at room temperature for 6 h. Then, the clarity, particle size, pH, osmolality, and the contents of camphor, d-borneol, and muscone of the compatible solutions were detected at 0, 1, 2, 4, and 6 h, respectively. Results: The results showed that the physical-chemical properties of compatibility solution were slightly influenced when XNJ was combined with Alprostadil injection and Danhong injection. The change of particle size and the degradation of muscone content were the main factors affecting the compatibility stability of XNJ injection, indicating that there are some problems in compatibility stability, which may be one of the causes of clinical adverse reactions. Conclusion: This study suggests that XNJ injection in combination with other injections during intravenous administration should be performed cautiously.
Similarity measurement of Chinese medicine ingredients for cold-hot nature identification
Guo-Hui Wei, Xian-Jun Fu, Zhen-Guo Wang
6TMR Modern Herbal Medicine. 2019, 2 (4): 183-191.   https://doi.org/10.12032/TMRmhm2017A58
Abstract ( 37 )     PDF (478KB) ( 29 )  
Objective: Nature theory of Chinese medicine (CM) is the core basic theory of Traditional Chinese Medicine (TCM), in which cold-hot nature is the focus of research. Studies have found that CM ingredients are the material basis for the production of medicine natures. Therefore, it is speculated that CMs with similar composition of substances should have similar medicinal nature. Modern work studies cold-hot medicine of CMs with chemical fingerprinting technology because the chemical fingerprint data of CM can reflect the whole composition of CM ingredients. Methods: To verify the hypothesis above, in this work, we study quantifying the similarity of CM ingredients to fingerprint similarity, and explore the relationship between the composition of CMs and cold-hot nature. Firstly, we utilize ultraviolet (UV) spectrum technology to analyze 61 CMs, which have clear cold-hot nature (including 30 ‘cold’ CMs and 31 ‘hot’ CMs). Secondly, with the constructed fingerprint database of CMs, a distance metric learning algorithm is studied to metric the similarity of UV fingerprints. Finally, a retrieval scheme is proposed to build a predictive identification model to identify cold-hot nature of CMs. Results: By means of numerous experiment analyses, ultraviolet spectrum data of petroleum ether solvent can better represent CMs to distinguish between cold and hot natures. Comparing with existing classical models, the proposed identification scheme has better predictive performance. Conclusion: The experimental results prove our inference that CMs with similar composition of substances should have similar medicinal nature. The proposed prediction model is proved to be effective and feasible.
Identification of prognostic markers by integrating the genome and transcriptomics in ovarian cancer
Xin Wu, Dong-Xin Tang, Xia-Nan Sang, Kui-Long Wang, Min Hao, Gang Cao
6TMR Modern Herbal Medicine. 2019, 2 (4): 192-205.   https://doi.org/10.12032/TMRmhm2017A59
Abstract ( 32 )     PDF (5262KB) ( 26 )  

Objective: In order to find a genetic marker to predict the prognosis of patients with ovarian cancer based on multi-omics data. Methods: We download RNA-Seq SNP, CNV data and clinical follow-up information from TCGA database and randomly divide them into training set and test set. GSE17260 dataset in GEO is taken as an external validation set. Prognosis-related genes, copy number difference genes and mutant genes are screened in the training set. After the integration of genes, the random forest algorithm is further used for feature selection, ultimately obtaining a robust biomarker. On this basis, a gene-related prognostic model is established and verified in the test set and verification set. Results: We have obtained 2097 prognostic related genes, 447 copy amplification genes, 1069 copy deletion genes and 654 significant mutations genes. Through the feature selection of random forest algorithm, five feature genes (PSMB1, COL6A6, SLC22A2, KLHL23 and CD3G) are obtained by integrating these genes, some of which have been reported to be related to tumor progress. Furthermore, the prognostic risk assessment model of 5-gene signature is established by Cox regression analysis. The model can evaluate the risk of patient samples in training set, test set and external verification set. 5-gene signature shows strong robustness and clinical independence. The results of GSEA analysis also show that the pathway of 5-gene signature enrichment is significantly related to the pathway and biological process of the occurrence and development of ovarian cancer. Conclusion: In this study, 5-gene signature is constructed as a new prognostic marker to predict the survival of patients with ovarian cancer.

Effect of Xuebijing injection on hematopoietic homeostasis of LPS induced sepsis in mice
Ping Wang, Jun Wang, Ying Hao, Xiao-Rui Li, Ya-Ru Feng, Lan Wang, Hong-Cai Shang, Jian-Xun Wang
6TMR Modern Herbal Medicine. 2019, 2 (4): 206-214.   https://doi.org/10.12032/TMRmhm2017A60
Abstract ( 42 )     PDF (1088KB) ( 27 )  
Objective: To explore the effect and mechanism of Xuebijing injection (XBJ) on the hematopoietic homeostasis of bone marrow (BM) in septic mice. Methods: BM cells stimulated with XBJ were analyzed by inverted optical microscope and qPCR, to evaluate the effect of XBJ on differentiation function of BM cells in vitro. Lipopolysaccharide (LPS) 055:B5 at the dose of 20mg/kg was used to establish the sepsis model. To determine the hematopoietic stem cells homeostasis affected by LPS in mice, BM cells were isolated and analyzed by flow cytometry based on the immunophenotypic surface markers. 20ml/kg of XBJ was administered by tail vein once/day after peritoneal injection of LPS. All animals were sacrificed on the fifth day. The frequency of hematopoietic stem cells (HSC) and immune cells in mice were quantified by flow cytometry. The gene expression of transcription factors were detected by qPCR. Results: XBJ promoted myeloid differentiation of BM cells in vitro, which may be related to the mRNA expression of the transcription factors. The results in vivo showed the percentage of BM Lin-SCA-1+c-KIT+ (LSK) cells, and Long-term HSCs (LT-HSC) were significantly increased in LPS group. But the percentage of multipotential progenitors (MPPs), granulocyte-monocyte progenitor (GMP) and megakaryocytic-erythroid precursor (MEP) were significantly decreased in LPS group. Whereas, XBJ improved the immune function in sepsis mice by suppression the LSK expansion in vivo. The result of qPCR showed that LSD1 and PU.1 mRNA expression in XBJ group were significantly higher than LPS group and control group respectively. Conclusion: Xuebijing injection can improve immune function in sepsis mice by regulating hematopoietic homeostasis. Its mechanism may be related to the up-regulation of LSD1 and PU.1 gene expressions.
Review
Bio-characteristic profiling related to clinic: A new technology platform for quality evaluation of Chinese materia medic
Li-Na Wen, Ai-Ting Wang, Na Guo, Yumei Han, Can Yan, Dan Yan
6TMR Modern Herbal Medicine. 2019, 2 (4): 215-224.   https://doi.org/10.12032/TMRmhm2017B54
Abstract ( 76 )     PDF (859KB) ( 34 )  
Quality evaluation is a bottleneck restricting the modernization and internationalization of Chinese materia medica (CMM). Due to characteristics of multi-component, multi-efficacy, multi-target, the existing quality evaluation system still cannot fully meet quality control needs of CMM. Hence, the author put forward “Bio-characteristic profiling related to clinic, BPRC” academic concept, meanwhile, fully take the advantage of analysis method with clinical monitoring superiority or profiling characteristics, build up "BPRC" new technology platform, in order to realize “real-time, dynamic and full-range monitoring” new technologies of CMM quality evaluation system and promote the further development of CMM industry.
Network pharmacology based method for mechanistic investigation of the Compound Xintahua in the treatment of atherosclerosis
Yu-Che Wu, Yan-Ming Wang, Na-Bi Xinhua
6TMR Modern Herbal Medicine. 2019, 2 (4): 225-236.   https://doi.org/10.12032/TMRmhm2017B57
Abstract ( 34 )     PDF (683KB) ( 25 )  
Objective: To explore the pharmacological basis of the Compound Xintahua (XTH) action in Atherosclerosis (AS) therapy, a network interaction analysis was conducted at the molecular level. Methods: TCMSP database and literature mining were used to analyze the main effective components in XTH, and the targets were predicted by Swiss Target Prediction server according to AS mechanism. The potential targets were introduced into the FunRich database for target annotation and analysis, the path analysis was finally performed based on the FunRich databases. To determine the mechanism of action of XTH. Results: A total of 316 compounds, 117 targets, and 290 signaling pathways were identified. And 16 effective compounds, 39 common targets, and 43 pathways were associated with AS. Conclusions: The results showed that the flavonoids, phenols, organic acids and terpenoids of XTH could participate in the process of lipid metabolism, angiogenesis, oxidation, inflammation, endocrine metabolism, cell proliferation and apoptosis, It was further found that they could play the role of anti-Atherosclerosis through multi-component, multi-target, and multi-channel synergistically.

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