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Mechanism of norcantharidin intervention in gastric cancer: analysis based on antitumor proprietary Chinese medicine database, network pharmacology, and transcriptomics 去甲斑蝥素干预胃癌的机制:基于抗肿瘤中成药数据库、网络药理学和转录组学的分析
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-17 DOI: 10.1186/s13020-024-01000-1
Yiyan Zhai, Fanqin Zhang, Jiying Zhou, Chuanqi Qiao, Zhengsen Jin, Jingyuan Zhang, Chao Wu, Rui Shi, Jiaqi Huang, Yifei Gao, Siyu Guo, Haojia Wang, Keyan Chai, Xiaomeng Zhang, Tieshan Wang, Xiaoguang Sheng, Xinkui Liu, Jiarui Wu
Combining antitumor proprietary Chinese medicine (pCm) with radiotherapy and chemotherapy can effectively improve tumor cure rates and enhance patients’ quality of life. Gastric cancer (GC) severely endangers public health. Despite satisfactory therapeutic effects achieved by using antitumor pCm to treat GC, its underlying mechanism remains unclear. To integrate existing research data, construct a database of antitumor pCm, and study the intervention mechanisms in GC by focusing on their monomer components. We constructed an antitumor pCm database based on China’s medical insurance catalog, and employed network pharmacology, molecular docking methods, cell experiments, transcriptomics, and bioinformatics to investigate the intervention mechanisms of effective pCm components for GC. The study built an antitumor pCm database including 55 pCms, 171 Chinese herbal medicines, 1955 chemical components, 2104 targets, and 32 disease information. Network pharmacology and molecular docking technology identified norcantharidin as an effective component of antitumor pCm. In vitro experiments showed that norcantharidin effectively inhibited GC cell proliferation, migration, and invasion; blocked the G2/M cell cycle phase; and induced GC cell apoptosis. Transcriptomic results revealed that norcantharidin affected biological processes, such as cell adhesion, migration, and inflammatory responses by influencing PI3K-AKT, NF-κB, JAK-STAT, TNF-α signaling pathways, and EMT-related pathways. Core molecules of norcantharidin involved in GC intervention include SERPINE1, SHOX2, SOX4, PRDM1, TGFR3, TOX, PAX9, IL2RB, LAG3, and IL15RA. Additionally, the key target SERPINE1 was identified using bioinformatics methods. Norcantharidin, as an effective component of anti-tumor pCm, exerts its therapeutic effects on GC by influencing biological processes such as cell adhesion, migration, and inflammation. This study provides a foundation and research strategy for the post-marketing re-evaluation of antitumor pCms.
中成药抗肿瘤与放化疗相结合,可有效提高肿瘤治愈率,改善患者生活质量。胃癌严重危害公众健康。尽管中成药抗肿瘤治疗胃癌取得了令人满意的疗效,但其潜在机制仍不清楚。为了整合现有研究数据,构建抗肿瘤中成药数据库,并通过关注其单体成分来研究其对胃癌的干预机制。我们以中国医保目录为基础,构建了抗肿瘤中成药数据库,并运用网络药理学、分子对接方法、细胞实验、转录组学和生物信息学等方法,研究了中成药有效成分对GC的干预机制。该研究建立了抗肿瘤中成药数据库,包括55种中成药、171种中药材、1955种化学成分、2104个靶点和32种疾病信息。通过网络药理学和分子对接技术,确定了去甲斑蝥素是抗肿瘤中成药的有效成分。体外实验表明,去甲斑蝥素能有效抑制GC细胞的增殖、迁移和侵袭,阻滞G2/M细胞周期,诱导GC细胞凋亡。转录组学结果显示,去甲斑蝥素通过影响PI3K-AKT、NF-κB、JAK-STAT、TNF-α信号通路和EMT相关通路,影响细胞粘附、迁移和炎症反应等生物学过程。参与干预 GC 的去甲斑蝥素核心分子包括 SERPINE1、SHOX2、SOX4、PRDM1、TGFR3、TOX、PAX9、IL2RB、LAG3 和 IL15RA。此外,还利用生物信息学方法确定了关键靶标 SERPINE1。Norcantharidin作为抗肿瘤中成药的有效成分,通过影响细胞粘附、迁移和炎症等生物学过程对GC发挥治疗作用。这项研究为抗肿瘤中成药上市后的再评价提供了基础和研究策略。
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引用次数: 0
The improvement of modified Si-Miao granule on hepatic insulin resistance and glycogen synthesis in type 2 diabetes mellitus involves the inhibition of TNF-α/JNK1/IRS-2 pathway: network pharmacology, molecular docking, and experimental validation 改良四妙颗粒对2型糖尿病肝脏胰岛素抵抗和糖原合成的改善涉及TNF-α/JNK1/IRS-2通路的抑制:网络药理学、分子对接和实验验证
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-16 DOI: 10.1186/s13020-024-00997-9
Zebiao Cao, Xianzhe Wang, Zhili Zeng, Zhaojun Yang, Yuping Lin, Lu Sun, Qiyun Lu, Guanjie Fan
Modified Si-Miao granule (mSMG), a traditional Chinese medicine, is beneficial for T2DM and insulin resistance (IR), but the underlying mechanism remains unknown. Using network pharmacology, we screened the compounds of mSMG and identified its targets and pathway on hepatic IR in T2DM. Using molecular docking, we identified the affinity between the compounds and hub target TNF-α. Then these were verified in KK-Ay mice and HepG2 cells. 50 compounds and 170 targets of mSMG against IR in T2DM were screened, and 9 hub targets such as TNF and MAPK8 were identified. 170 targets were mainly enriched in insulin resistance and TNF pathway, so we speculated that mSMG might act on TNF-α, JNK1 and then regulate insulin signaling to mitigate IR. Experimental validation proved that mSMG ameliorated hyperglycemia, IR, and TNF-α, enhanced glucose consumption and glycogen synthesis, relieved the phosphorylation of JNK1 and IRS-2 (Ser388), and elevated the phosphorylation of Akt (Ser473) and GSK-3β (Ser9) and GLUT2 expression in KK-Ay mice. Molecular docking further showed berberine from mSMG had excellent binding capacity with TNF-α. Then, in vitro validation experiments, we found that 20% mSMG-MS or 50 μM berberine had little effect in IR-HepG2 cell viability, but significantly increased glucose consumption and glycogen synthesis and regulated TNF-α/JNK1/IRS-2 pathway. Network pharmacology and molecular docking help us predict potential mechanism of mSMG and further guide experimental validation. mSMG and its representative compound berberine improve hepatic IR and glycogen synthesis, and its mechanism may be related to the inhibition of TNF-α/JNK1/IRS-2 pathway.
中药改良四妙颗粒(mSMG)对T2DM和胰岛素抵抗(IR)有益,但其潜在机制仍不清楚。我们利用网络药理学筛选了改良四妙颗粒的化合物,并确定了其对 T2DM 肝 IR 的作用靶点和作用途径。通过分子对接,我们确定了化合物与枢纽靶点 TNF-α 之间的亲和力。然后在 KK-Ay 小鼠和 HepG2 细胞中进行了验证。共筛选出50个化合物和170个mSMG抗T2DM中IR的靶点,并确定了9个中心靶点,如TNF和MAPK8。170个靶点主要富集在胰岛素抵抗和TNF通路中,因此我们推测mSMG可能作用于TNF-α、JNK1,进而调节胰岛素信号转导以缓解IR。实验验证证明,mSMG可改善KK-Ay小鼠的高血糖、IR和TNF-α,促进葡萄糖消耗和糖原合成,缓解JNK1和IRS-2(Ser388)的磷酸化,提高Akt(Ser473)和GSK-3β(Ser9)的磷酸化以及GLUT2的表达。分子对接进一步表明,mSMG中的小檗碱与TNF-α具有良好的结合能力。然后,在体外验证实验中,我们发现 20% mSMG-MS 或 50 μM 小檗碱对 IR-HepG2 细胞活力影响不大,但能显著增加葡萄糖消耗和糖原合成,并调控 TNF-α/JNK1/IRS-2 通路。mSMG及其代表化合物小檗碱能改善肝IR和糖原合成,其机制可能与抑制TNF-α/JNK1/IRS-2通路有关。
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引用次数: 0
Machine learning-assisted rapid determination for traditional Chinese Medicine Constitution 机器学习辅助快速确定中药配方
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-15 DOI: 10.1186/s13020-024-00992-0
Wen Sun, Minghua Bai, Ji Wang, Bei Wang, Yixing Liu, Qi Wang, Dongran Han
The aim of this study was to develop a machine learning-assisted rapid determination methodology for traditional Chinese Medicine Constitution. Based on the Constitution in Chinese Medicine Questionnaire (CCMQ), the most applied diagnostic instrument for assessing individuals’ constitutions, we employed automated supervised machine learning algorithms (i.e., Tree-based Pipeline Optimization Tool; TPOT) on all the possible item combinations for each subscale and an unsupervised machine learning algorithm (i.e., variable clustering; varclus) on the whole scale to select items that can best predict body constitution (BC) classifications or BC scores. By utilizing subsets of items selected based on TPOT and corresponding machine learning algorithms, the accuracies of BC classifications prediction ranged from 0.819 to 0.936, with the root mean square errors of BC scores prediction stabilizing between 6.241 and 9.877. Overall, the results suggested that the automated machine learning algorithms performed better than the varclus algorithm for item selection. Additionally, based on an automated machine learning item selection procedure, we provided the top three ranked item combinations with each possible subscale length, along with their corresponding algorithms for predicting BC classification and severity. This approach could accommodate the needs of different practitioners in traditional Chinese medicine for rapid constitution determination.
本研究旨在开发一种机器学习辅助的中医体质快速测定方法。基于中医体质问卷(CCMQ)这一应用最广泛的体质诊断工具,我们对每个分量表的所有可能的项目组合采用了自动监督机器学习算法(即基于树的管道优化工具;TPOT),并对整个量表采用了无监督机器学习算法(即变量聚类;varclus),以选择最能预测体质分类或体质评分的项目。通过利用基于 TPOT 筛选出的项目子集和相应的机器学习算法,BC 分类预测的准确度在 0.819 至 0.936 之间,BC 分数预测的均方根误差稳定在 6.241 至 9.877 之间。总体而言,结果表明,在项目选择方面,自动机器学习算法的表现优于 varclus 算法。此外,在自动机器学习项目选择程序的基础上,我们提供了每种可能的子量表长度排名前三的项目组合,以及相应的预测 BC 分类和严重程度的算法。这种方法可满足不同中医师快速确定体质的需要。
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引用次数: 0
Buqi-Huoxue-Tongnao decoction drives gut microbiota-derived indole lactic acid to attenuate ischemic stroke via the gut-brain axis 布芪黄芩汤通过肠脑轴驱动肠道微生物群衍生的吲哚乳酸减轻缺血性中风
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-15 DOI: 10.1186/s13020-024-00991-1
Yarui Liu, Peng Zhao, Zheng Cai, Peishi He, Jiahan Wang, Haoqing He, Zhibo Zhu, Xiaowen Guo, Ke Ma, Kang Peng, Jie Zhao
Ischemic stroke belongs to “apoplexy” and its pathogenesis is characterized by qi deficiency and blood stasis combining with phlegm-damp clouding orifices. Buqi-Huoxue-Tongnao decoction (BHTD) is a traditional Chinese medicine formula for qi deficiency, blood stasis and phlegm obstruction syndrome. However, its efficacy and potential mechanism on ischemic stroke are still unclear. This study aims to investigate the protective effect and potential mechanism of BHTD against ischemic stroke. Middle cerebral artery occlusion (MCAO) surgery was carried out to establish an ischemic stroke model in rats. Subsequently, the rats were gavaged with different doses of BHTD (2.59, 5.175, 10.35 g/kg) for 14 days. The protective effects of BHTD on the brain and gut were evaluated by neurological function scores, cerebral infarction area, levels of brain injury markers (S-100B, NGB), indicators of gut permeability (FD-4) and bacterial translocation (DAO, LPS, D-lactate), and tight junction proteins (Occludin, Claudin-1, ZO-1) in brain and colon. 16S rRNA gene sequencing and metabolomic analysis were utilized to analyze the effects on gut microecology and screen for marker metabolites to explore potential mechanisms of BHTD protection against ischemic stroke. BHTD could effectively mitigate brain impairment, including reducing neurological damage, decreasing cerebral infarction and repairing the blood–brain barrier, and BHTD showed the best effect at the dose of 10.35 g/kg. Moreover, BHTD reversed gut injury induced by ischemic stroke, as evidenced by decreased intestinal permeability, reduced intestinal bacterial translocation, and enhanced intestinal barrier integrity. In addition, BHTD rescued gut microbiota dysbiosis by increasing the abundance of beneficial bacteria, including Turicibacter and Faecalibaculum. Transplantation of the gut microbiota remodeled by BHTD into ischemic stroke rats recapitulated the protective effects of BHTD. Especially, BHTD upregulated tryptophan metabolism, which promoted gut microbiota to produce more indole lactic acid (ILA). Notably, supplementation with ILA by gavage could alleviate stroke injury, which suggested that driving the production of ILA in the gut might be a novel treatment for ischemic stroke. BHTD could increase gut microbiota-derived indole lactic acid to attenuate ischemic stroke via the gut-brain axis. Our current finding provides evidence that traditional Chinese medicine can ameliorate central diseases through regulating the gut microbiology.
缺血性中风属于 "中风 "范畴,其病机特点是气虚血瘀、痰湿蒙窍。不气归脾汤是治疗气虚血瘀痰阻证的中药方剂。然而,它对缺血性中风的疗效和潜在机制仍不清楚。本研究旨在探讨BHTD对缺血性中风的保护作用及其潜在机制。通过大脑中动脉闭塞(MCAO)手术建立缺血性脑卒中模型。随后,给大鼠灌胃不同剂量的 BHTD(2.59、5.175 和 10.35 克/千克),持续 14 天。通过神经功能评分、脑梗塞面积、脑损伤标志物(S-100B、NGB)水平、肠道通透性指标(FD-4)和细菌转运(DAO、LPS、D-乳酸盐)以及脑和结肠中的紧密连接蛋白(Occludin、Claudin-1、ZO-1)来评估 BHTD 对大脑和肠道的保护作用。利用 16S rRNA 基因测序和代谢组学分析来分析对肠道微生态的影响,并筛选标记代谢物,以探索 BHTD 保护缺血性中风的潜在机制。BHTD能有效缓解脑损伤,包括减轻神经损伤、减少脑梗塞和修复血脑屏障。此外,BHTD 还能逆转缺血性中风引起的肠道损伤,表现为肠道通透性降低、肠道细菌转运减少、肠道屏障完整性增强。此外,BHTD 还能增加有益菌(包括 Turicibacter 和 Faecalibaculum)的数量,从而缓解肠道微生物群失调。将经 BHTD 重塑的肠道微生物群移植到缺血性中风大鼠体内,可再现 BHTD 的保护作用。特别是,BHTD能促进色氨酸代谢,从而促进肠道微生物群产生更多的吲哚乳酸(ILA)。值得注意的是,通过灌胃补充吲哚乳酸可以缓解中风损伤,这表明促进肠道产生吲哚乳酸可能是治疗缺血性中风的一种新方法。BHTD可增加肠道微生物群衍生的吲哚乳酸,从而通过肠脑轴减轻缺血性中风。我们目前的发现为中药通过调节肠道微生物改善中枢疾病提供了证据。
{"title":"Buqi-Huoxue-Tongnao decoction drives gut microbiota-derived indole lactic acid to attenuate ischemic stroke via the gut-brain axis","authors":"Yarui Liu, Peng Zhao, Zheng Cai, Peishi He, Jiahan Wang, Haoqing He, Zhibo Zhu, Xiaowen Guo, Ke Ma, Kang Peng, Jie Zhao","doi":"10.1186/s13020-024-00991-1","DOIUrl":"https://doi.org/10.1186/s13020-024-00991-1","url":null,"abstract":"Ischemic stroke belongs to “apoplexy” and its pathogenesis is characterized by qi deficiency and blood stasis combining with phlegm-damp clouding orifices. Buqi-Huoxue-Tongnao decoction (BHTD) is a traditional Chinese medicine formula for qi deficiency, blood stasis and phlegm obstruction syndrome. However, its efficacy and potential mechanism on ischemic stroke are still unclear. This study aims to investigate the protective effect and potential mechanism of BHTD against ischemic stroke. Middle cerebral artery occlusion (MCAO) surgery was carried out to establish an ischemic stroke model in rats. Subsequently, the rats were gavaged with different doses of BHTD (2.59, 5.175, 10.35 g/kg) for 14 days. The protective effects of BHTD on the brain and gut were evaluated by neurological function scores, cerebral infarction area, levels of brain injury markers (S-100B, NGB), indicators of gut permeability (FD-4) and bacterial translocation (DAO, LPS, D-lactate), and tight junction proteins (Occludin, Claudin-1, ZO-1) in brain and colon. 16S rRNA gene sequencing and metabolomic analysis were utilized to analyze the effects on gut microecology and screen for marker metabolites to explore potential mechanisms of BHTD protection against ischemic stroke. BHTD could effectively mitigate brain impairment, including reducing neurological damage, decreasing cerebral infarction and repairing the blood–brain barrier, and BHTD showed the best effect at the dose of 10.35 g/kg. Moreover, BHTD reversed gut injury induced by ischemic stroke, as evidenced by decreased intestinal permeability, reduced intestinal bacterial translocation, and enhanced intestinal barrier integrity. In addition, BHTD rescued gut microbiota dysbiosis by increasing the abundance of beneficial bacteria, including Turicibacter and Faecalibaculum. Transplantation of the gut microbiota remodeled by BHTD into ischemic stroke rats recapitulated the protective effects of BHTD. Especially, BHTD upregulated tryptophan metabolism, which promoted gut microbiota to produce more indole lactic acid (ILA). Notably, supplementation with ILA by gavage could alleviate stroke injury, which suggested that driving the production of ILA in the gut might be a novel treatment for ischemic stroke. BHTD could increase gut microbiota-derived indole lactic acid to attenuate ischemic stroke via the gut-brain axis. Our current finding provides evidence that traditional Chinese medicine can ameliorate central diseases through regulating the gut microbiology.","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"33 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142259124","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
DMDD, isolated from Averrhoa carambola L., ameliorates diabetic nephropathy by regulating endoplasmic reticulum stress-autophagy crosstalk 通过调节内质网应激与自噬的相互关系,从苌弘树中分离出的 DMDD 可改善糖尿病肾病
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-12 DOI: 10.1186/s13020-024-00993-z
Jianmei Shi, Yuxiang Wang, Tao Liang, Xixi Wang, Jingxiao Xie, Renbin Huang, Xiaohui Xu, Xiaojie Wei
Studies have shown that Averrhoa carambola L. possesses therapeutic potential for diabetes and related complications. However, the specific beneficial effects and molecular mechanisms of 2-dodecyl-6-meth-oxycyclohexa-2,5-diene-1,4-dione (DMDD) isolated from Averrhoa carambola L. on diabetic nephropathy (DN) require further investigation. 80 C57BL/6 J male mice were subjected to a 1-week adaptive feeding, followed by a high-fat diet and intraperitoneal injection of 100 mg/kg streptozotocin (STZ) to construct an in vivo DN model. Additionally, human renal proximal tubular epithelial cells (HK-2) induced by high glucose (HG) were used as an in vitro DN model. The expression levels of epithelial-mesenchymal transition (EMT), endoplasmic reticulum stress (ERS), and autophagy-related proteins in renal tubular cells were detected by Western Blot, flow cytometry, immunofluorescence, and enzyme-linked immunosorbent assay (ELISA) staining. Transcriptome analysis revealed was conducted to elucidate the specific mechanism of by which DMDD mitigates DN by inhibiting ERS and autophagy. HK-2 cells were transfected with IRE1α overexpression lentivirus to reveal the role of IRE1α overexpression in HG-induced HK-2. The experimental data showed that DMDD significantly reduced blood glucose levels and improved renal pathological alterations in DN mice. Additionally, DMDD inhibited the calcium (Ca2+) pathway, manifested by decreased autophagosome formation and downregulation of LC3II/I, Beclin-1, and ATG5 expression. Moreover, in HG-induced HK-2 cells, DMDD suppressed the overexpression of GRP78, CHOP, LC3II/I, Beclin1, and ATG5. Notably, IRE1α overexpression significantly increased autophagy incidence; however, DMDD treatment subsequently reduced the expression of LC3II/I, Beclin1, and ATG5. DMDD effectively inhibits excessive ERS and autophagy, thereby reducing renal cell apoptosis through the IRE1α pathway and Ca 2+ pathway.
研究表明,Averrhoa carambola L. 具有治疗糖尿病及相关并发症的潜力。然而,从 Averrhoa carambola L. 分离出来的 2-十二烷基-6-甲氧基环己-2,5-二烯-1,4-二酮(DMDD)对糖尿病肾病(DN)的具体有益作用和分子机制还需要进一步研究。对 80 只 C57BL/6 J 雄性小鼠进行为期一周的适应性喂养,然后进行高脂饮食并腹腔注射 100 毫克/千克链脲佐菌素(STZ),以构建体内 DN 模型。此外,还使用高糖(HG)诱导的人肾近曲小管上皮细胞(HK-2)作为体外 DN 模型。通过 Western Blot、流式细胞术、免疫荧光和酶联免疫吸附试验(ELISA)染色检测了肾小管细胞中上皮-间质转化(EMT)、内质网应激(ERS)和自噬相关蛋白的表达水平。为了阐明DMDD通过抑制ERS和自噬减轻DN的具体机制,研究人员进行了转录组分析。用IRE1α过表达慢病毒转染HK-2细胞,以揭示IRE1α过表达在HG诱导HK-2中的作用。实验数据显示,DMDD能显著降低DN小鼠的血糖水平,改善肾脏病理改变。此外,DMDD还能抑制钙(Ca2+)通路,表现为自噬体形成减少,LC3II/I、Beclin-1和ATG5表达下调。此外,在 HG 诱导的 HK-2 细胞中,DMDD 可抑制 GRP78、CHOP、LC3II/I、Beclin1 和 ATG5 的过表达。值得注意的是,IRE1α的过表达显著增加了自噬的发生率;然而,DMDD处理随后降低了LC3II/I、Beclin1和ATG5的表达。DMDD能有效抑制过度的ERS和自噬,从而通过IRE1α途径和Ca 2+途径减少肾细胞凋亡。
{"title":"DMDD, isolated from Averrhoa carambola L., ameliorates diabetic nephropathy by regulating endoplasmic reticulum stress-autophagy crosstalk","authors":"Jianmei Shi, Yuxiang Wang, Tao Liang, Xixi Wang, Jingxiao Xie, Renbin Huang, Xiaohui Xu, Xiaojie Wei","doi":"10.1186/s13020-024-00993-z","DOIUrl":"https://doi.org/10.1186/s13020-024-00993-z","url":null,"abstract":"Studies have shown that Averrhoa carambola L. possesses therapeutic potential for diabetes and related complications. However, the specific beneficial effects and molecular mechanisms of 2-dodecyl-6-meth-oxycyclohexa-2,5-diene-1,4-dione (DMDD) isolated from Averrhoa carambola L. on diabetic nephropathy (DN) require further investigation. 80 C57BL/6 J male mice were subjected to a 1-week adaptive feeding, followed by a high-fat diet and intraperitoneal injection of 100 mg/kg streptozotocin (STZ) to construct an in vivo DN model. Additionally, human renal proximal tubular epithelial cells (HK-2) induced by high glucose (HG) were used as an in vitro DN model. The expression levels of epithelial-mesenchymal transition (EMT), endoplasmic reticulum stress (ERS), and autophagy-related proteins in renal tubular cells were detected by Western Blot, flow cytometry, immunofluorescence, and enzyme-linked immunosorbent assay (ELISA) staining. Transcriptome analysis revealed was conducted to elucidate the specific mechanism of by which DMDD mitigates DN by inhibiting ERS and autophagy. HK-2 cells were transfected with IRE1α overexpression lentivirus to reveal the role of IRE1α overexpression in HG-induced HK-2. The experimental data showed that DMDD significantly reduced blood glucose levels and improved renal pathological alterations in DN mice. Additionally, DMDD inhibited the calcium (Ca2+) pathway, manifested by decreased autophagosome formation and downregulation of LC3II/I, Beclin-1, and ATG5 expression. Moreover, in HG-induced HK-2 cells, DMDD suppressed the overexpression of GRP78, CHOP, LC3II/I, Beclin1, and ATG5. Notably, IRE1α overexpression significantly increased autophagy incidence; however, DMDD treatment subsequently reduced the expression of LC3II/I, Beclin1, and ATG5. DMDD effectively inhibits excessive ERS and autophagy, thereby reducing renal cell apoptosis through the IRE1α pathway and Ca 2+ pathway.","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"4 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Calculating the similarity between prescriptions to find their new indications based on graph neural network 基于图神经网络计算处方之间的相似性,以找到其新适应症
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-11 DOI: 10.1186/s13020-024-00994-y
Xingxing Han, Xiaoxia Xie, Ranran Zhao, Yu Li, Pengzhen Ma, Huan Li, Fengming Chen, Yufeng Zhao, Zhishu Tang
Drug repositioning has the potential to reduce costs and accelerate the rate of drug development, with highly promising applications. Currently, the development of artificial intelligence has provided the field with fast and efficient computing power. Nevertheless, the repositioning of traditional Chinese medicine (TCM) is still in its infancy, and the establishment of a reasonable and effective research method is a pressing issue that requires urgent attention. The use of graph neural network (GNN) to compute the similarity between TCM prescriptions to develop a method for finding their new indications is an innovative attempt. This paper focused on traditional Chinese medicine prescriptions containing ephedra, with 20 prescriptions for treating external cough and asthma taken as target prescriptions. The remaining 67 prescriptions containing ephedra were taken as to-be-matched prescriptions. Furthermore, a multitude of data pertaining to the prescriptions, including diseases, disease targets, symptoms, and various types of information on herbs, was gathered from a diverse array of literature sources, such as Chinese medicine databases. Then, cosine similarity and Jaccard coefficient were calculated to characterize the similarity between prescriptions using graph convolutional network (GCN) with a self-supervised learning method, such as deep graph infomax (DGI). A total of 1340 values were obtained for each of the two calculation indicators. A total of 68 prescription pairs were identified after screening with 0.77 as the threshold for cosine similarity. Following the removal of false positive results, 12 prescription pairs were deemed to have further research value. A total of 5 prescription pairs were screened using a threshold of 0.50 for the Jaccard coefficient. However, the specific results did not exhibit significant value for further use, which may be attributed to the excessive variety of information in the dataset. The proposed method can provide reference for finding new indications of target prescriptions by quantifying the similarity between prescriptions. It is expected to offer new insights for developing a scientific and systematic research methodology for traditional Chinese medicine repositioning.
药物重新定位具有降低成本和加快药物开发速度的潜力,应用前景十分广阔。目前,人工智能的发展为该领域提供了快速高效的计算能力。然而,传统中药(中药)的重新定位仍处于起步阶段,建立合理有效的研究方法是亟待解决的问题。利用图神经网络(GNN)计算中药方剂之间的相似性,从而开发出寻找其新适应症的方法,是一种创新尝试。本文以含麻黄的中药处方为研究对象,将 20 个治疗外感咳喘的处方作为目标处方。其余 67 个含麻黄的处方作为待配处方。此外,还从中药数据库等各种文献资料中收集了与方剂相关的大量数据,包括疾病、疾病目标、症状和各类草药信息。然后,利用图卷积网络(GCN)和自我监督学习方法,如深度图信息模型(DGI),计算余弦相似度和Jaccard系数,以表征处方之间的相似性。两个计算指标各获得了 1340 个值。以 0.77 作为余弦相似度阈值进行筛选后,共确定了 68 对处方。在剔除假阳性结果后,有 12 对处方被认为具有进一步的研究价值。以 Jaccard 系数 0.50 为阈值,共筛选出 5 对处方。然而,具体结果并未显示出显著的进一步使用价值,这可能是由于数据集中的信息种类过多所致。所提出的方法可以通过量化处方之间的相似性,为寻找新的目标处方适应症提供参考。它有望为制定科学、系统的中药重新定位研究方法提供新的启示。
{"title":"Calculating the similarity between prescriptions to find their new indications based on graph neural network","authors":"Xingxing Han, Xiaoxia Xie, Ranran Zhao, Yu Li, Pengzhen Ma, Huan Li, Fengming Chen, Yufeng Zhao, Zhishu Tang","doi":"10.1186/s13020-024-00994-y","DOIUrl":"https://doi.org/10.1186/s13020-024-00994-y","url":null,"abstract":"Drug repositioning has the potential to reduce costs and accelerate the rate of drug development, with highly promising applications. Currently, the development of artificial intelligence has provided the field with fast and efficient computing power. Nevertheless, the repositioning of traditional Chinese medicine (TCM) is still in its infancy, and the establishment of a reasonable and effective research method is a pressing issue that requires urgent attention. The use of graph neural network (GNN) to compute the similarity between TCM prescriptions to develop a method for finding their new indications is an innovative attempt. This paper focused on traditional Chinese medicine prescriptions containing ephedra, with 20 prescriptions for treating external cough and asthma taken as target prescriptions. The remaining 67 prescriptions containing ephedra were taken as to-be-matched prescriptions. Furthermore, a multitude of data pertaining to the prescriptions, including diseases, disease targets, symptoms, and various types of information on herbs, was gathered from a diverse array of literature sources, such as Chinese medicine databases. Then, cosine similarity and Jaccard coefficient were calculated to characterize the similarity between prescriptions using graph convolutional network (GCN) with a self-supervised learning method, such as deep graph infomax (DGI). A total of 1340 values were obtained for each of the two calculation indicators. A total of 68 prescription pairs were identified after screening with 0.77 as the threshold for cosine similarity. Following the removal of false positive results, 12 prescription pairs were deemed to have further research value. A total of 5 prescription pairs were screened using a threshold of 0.50 for the Jaccard coefficient. However, the specific results did not exhibit significant value for further use, which may be attributed to the excessive variety of information in the dataset. The proposed method can provide reference for finding new indications of target prescriptions by quantifying the similarity between prescriptions. It is expected to offer new insights for developing a scientific and systematic research methodology for traditional Chinese medicine repositioning.","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"28 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Application of omics technologies in studies on antitumor effects of Traditional Chinese Medicine 在中药抗肿瘤作用研究中应用全息技术
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-09 DOI: 10.1186/s13020-024-00995-x
Peng Tan, Xuejiao Wei, Huiming Huang, Fei Wang, Zhuguo Wang, Jinxin Xie, Longyan Wang, Dongxiao Liu, Zhongdong Hu
Traditional Chinese medicine (TCM) is considered to be one of the most comprehensive and influential form of traditional medicine. It plays an important role in clinical treatment and adjuvant therapy for cancer. However, the complex composition of TCM presents challenges to the comprehensive and systematic understanding of its antitumor mechanisms, which hinders further development of TCM with antitumor effects. Omics technologies can immensely help in elucidating the mechanism of action of drugs. They utilize high-throughput sequencing and detection techniques to provide deeper insights into biological systems, revealing the intricate mechanisms through which TCM combats tumors. Multi-omics approaches can be used to elucidate the interrelationships among different omics layers by integrating data from various omics disciplines. By analyzing a large amount of data, these approaches further unravel the complex network of mechanisms underlying the antitumor effects of TCM and explain the mutual regulations across different molecular levels. In this study, we presented a comprehensive overview of the recent progress in single-omics and multi-omics research focused on elucidating the mechanisms underlying the antitumor effects of TCM. We discussed the significance of omics technologies in advancing research on the antitumor properties of TCM and also provided novel research perspectives and methodologies for further advancing this research field.
中医被认为是最全面、最具影响力的传统医学之一。它在癌症的临床治疗和辅助治疗中发挥着重要作用。然而,中药成分复杂,对全面系统地了解其抗肿瘤机制提出了挑战,阻碍了具有抗肿瘤作用的中药的进一步发展。Omics 技术对阐明药物的作用机制大有帮助。它们利用高通量测序和检测技术深入了解生物系统,揭示中药抗肿瘤的复杂机制。多组学方法通过整合来自不同组学学科的数据,可用于阐明不同组学层次之间的相互关系。通过分析大量数据,这些方法可进一步揭示中药抗肿瘤作用的复杂机制网络,并解释不同分子水平之间的相互调控。在本研究中,我们全面综述了近年来以阐明中药抗肿瘤作用机制为重点的单组学和多组学研究进展。我们讨论了 omics 技术在推进中药抗肿瘤特性研究方面的意义,并为进一步推进这一研究领域提供了新的研究视角和方法。
{"title":"Application of omics technologies in studies on antitumor effects of Traditional Chinese Medicine","authors":"Peng Tan, Xuejiao Wei, Huiming Huang, Fei Wang, Zhuguo Wang, Jinxin Xie, Longyan Wang, Dongxiao Liu, Zhongdong Hu","doi":"10.1186/s13020-024-00995-x","DOIUrl":"https://doi.org/10.1186/s13020-024-00995-x","url":null,"abstract":"Traditional Chinese medicine (TCM) is considered to be one of the most comprehensive and influential form of traditional medicine. It plays an important role in clinical treatment and adjuvant therapy for cancer. However, the complex composition of TCM presents challenges to the comprehensive and systematic understanding of its antitumor mechanisms, which hinders further development of TCM with antitumor effects. Omics technologies can immensely help in elucidating the mechanism of action of drugs. They utilize high-throughput sequencing and detection techniques to provide deeper insights into biological systems, revealing the intricate mechanisms through which TCM combats tumors. Multi-omics approaches can be used to elucidate the interrelationships among different omics layers by integrating data from various omics disciplines. By analyzing a large amount of data, these approaches further unravel the complex network of mechanisms underlying the antitumor effects of TCM and explain the mutual regulations across different molecular levels. In this study, we presented a comprehensive overview of the recent progress in single-omics and multi-omics research focused on elucidating the mechanisms underlying the antitumor effects of TCM. We discussed the significance of omics technologies in advancing research on the antitumor properties of TCM and also provided novel research perspectives and methodologies for further advancing this research field.","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"72 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142207872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Screening of herbal extracts binding with vascular endothelial growth factor by applying HerboChip platform 应用 HerboChip 平台筛选与血管内皮生长因子结合的草药提取物
IF 4.9 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-09 DOI: 10.1186/s13020-024-00987-x
Yang Liu, Jia-Ming Liang, Guo-Xia Guo, Yu-Huan Qiu, Le-Le Yu, Karl Wah-Keung Tsim, Qi-Wei Qin, Gallant Kar-Lun Chan, Wei-Hui Hu
Traditional Chinese medicine (TCM) has been hailed as a rich source of medicine, but many types of herbs and their functions still need to be rapidly discovered and elucidated. HerboChip, a target-based drug screening platform, is an array of different fractions deriving from herbal extracts. This study was designed to identify effective components from TCM that interact with vascular endothelial growth factor (VEGF) as a target using HerboChip. Selected TCMs that are traditionally used as remedies for cancer prevention and wound healing were determined and extracted with 50% ethanol. Biotinylated-VEGF was hybridized with over 500 chips coated with different HPLC-separated fractions from TCM extracts and straptavidin-Cy5 was applied to identify plant extracts containing VEGF-binding fractions. Cytotoxicity of selected herbal extracts and their activities on VEGF-mediated angiogenic functions were evaluated. Over 500 chips were screened within a week, and ten positive hits were identified. The interaction of the identified herbal extracts with VEGF was confirmed in cultured endothelial cells. The identified herbs promoted or inhibited VEGF-mediated cell proliferation, migration and tube formation. Results from western blotting analysis demonstrated the identified herbal extracts significantly affected VEGF-triggered phosphorylations of eNOS, Akt and Erk. Five TCMs demonstrated potentiating activities on the VEGF response and five TCMs revealed suppressive activities. The current results demonstrated the applicability of the HerboChip platform and systematically elucidated the activity of selected TCMs on angiogenesis and its related signal transduction mechanisms.
传统中药(TCM)被誉为丰富的药物来源,但许多类型的中草药及其功能仍有待快速发现和阐明。HerboChip 是一个基于靶点的药物筛选平台,由中草药提取物中的不同馏分组成。本研究旨在利用 HerboChip 从中药中鉴定与血管内皮生长因子(VEGF)相互作用的有效成分。研究人员确定了一些传统上用作癌症预防和伤口愈合疗法的中药,并用 50%乙醇进行提取。生物素化血管内皮生长因子与 500 多片涂有不同 HPLC 分离的中药提取物馏分的芯片杂交,并应用带状亲和素-Cy5 来识别含有血管内皮生长因子结合馏分的植物提取物。评估了所选中草药提取物的细胞毒性及其对血管内皮生长因子介导的血管生成功能的活性。一周内筛选了 500 多个芯片,确定了 10 个阳性结果。在培养的血管内皮细胞中,确认了这些草药提取物与血管内皮生长因子的相互作用。确定的草药可促进或抑制血管内皮生长因子介导的细胞增殖、迁移和管形成。Western 印迹分析结果表明,所发现的中草药提取物对血管内皮生长因子诱导的 eNOS、Akt 和 Erk 磷酸化有明显影响。五种中药显示出对血管内皮生长因子反应的增效活性,五种中药显示出抑制活性。目前的研究结果证明了 HerboChip 平台的适用性,并系统地阐明了所选中药对血管生成的活性及其相关的信号转导机制。
{"title":"Screening of herbal extracts binding with vascular endothelial growth factor by applying HerboChip platform","authors":"Yang Liu, Jia-Ming Liang, Guo-Xia Guo, Yu-Huan Qiu, Le-Le Yu, Karl Wah-Keung Tsim, Qi-Wei Qin, Gallant Kar-Lun Chan, Wei-Hui Hu","doi":"10.1186/s13020-024-00987-x","DOIUrl":"https://doi.org/10.1186/s13020-024-00987-x","url":null,"abstract":"Traditional Chinese medicine (TCM) has been hailed as a rich source of medicine, but many types of herbs and their functions still need to be rapidly discovered and elucidated. HerboChip, a target-based drug screening platform, is an array of different fractions deriving from herbal extracts. This study was designed to identify effective components from TCM that interact with vascular endothelial growth factor (VEGF) as a target using HerboChip. Selected TCMs that are traditionally used as remedies for cancer prevention and wound healing were determined and extracted with 50% ethanol. Biotinylated-VEGF was hybridized with over 500 chips coated with different HPLC-separated fractions from TCM extracts and straptavidin-Cy5 was applied to identify plant extracts containing VEGF-binding fractions. Cytotoxicity of selected herbal extracts and their activities on VEGF-mediated angiogenic functions were evaluated. Over 500 chips were screened within a week, and ten positive hits were identified. The interaction of the identified herbal extracts with VEGF was confirmed in cultured endothelial cells. The identified herbs promoted or inhibited VEGF-mediated cell proliferation, migration and tube formation. Results from western blotting analysis demonstrated the identified herbal extracts significantly affected VEGF-triggered phosphorylations of eNOS, Akt and Erk. Five TCMs demonstrated potentiating activities on the VEGF response and five TCMs revealed suppressive activities. The current results demonstrated the applicability of the HerboChip platform and systematically elucidated the activity of selected TCMs on angiogenesis and its related signal transduction mechanisms.","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"25 1","pages":""},"PeriodicalIF":4.9,"publicationDate":"2024-09-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142226537","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Uncover the anticancer potential of lycorine. 揭示番茄红素的抗癌潜力
IF 5.3 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-08 DOI: 10.1186/s13020-024-00989-9
Yan-Ming Zhang, Ting Li, Chun-Cao Xu, Jia-Yu Qian, Hongwei Guo, Xiaolei Zhang, Zha-Jun Zhan, Jin-Jian Lu

Background: Natural products have a long history in drug discovery. Lycorine is an alkaloid derived from Amaryllidaceae plants, demonstrating significant pharmacological potential. Lycorine and its hydrochloride salt, lycorine hydrochloride, have shown outstanding anticancer effects both in vitro and in vivo.

Purpose: This review aims to comprehensively summarize recent research advancements regarding the anticancer potential of lycorine and lycorine hydrochloride. It intends to elucidate current research limitations, optimization strategies, and future research directions to guide clinical translation.

Methods: Various databases, e.g., Web of Science, PubMed, and Chinese National Knowledge Infrastructure, are systematically searched for relevant articles using keywords such as lycorine, cancer, pharmacokinetics, and toxicity. The retrieved literature is then categorized and summarized to provide an overview of the research advancements in the anticancer potential of lycorine and lycorine hydrochloride.

Results: Lycorine and lycorine hydrochloride demonstrate significant anticancer activities against various types of cancer both in vitro and in vivo, employing diverse mechanisms such as inducing cell cycle arrest, triggering cellular senescence, regulating programmed cell death, inhibiting angiogenesis, suppressing metastasis, and modulating immune system. Furthermore, pharmacokinetic profiles and toxicity data are summarized. Additionally, this review discusses the druggability, limitations, optimization strategies, and target identification of lycorine, offering insights for future preclinical studies.

Conclusion: The anticancer effects and safety profile of lycorine and lycorine hydrochloride suggest promising potential for clinical applications. Further research on their in-depth mechanisms and optimization strategies targeting their limitations will enhance the understanding and druggability of lycorine and lycorine hydrochloride.

背景:天然产物在药物发现方面有着悠久的历史。番茄红素是从金盏花科植物中提取的一种生物碱,具有巨大的药理潜力。目的:本综述旨在全面总结有关番茄红素和盐酸番茄红素抗癌潜力的最新研究进展。目的:这篇综述旨在全面总结有关番茄红素和盐酸番茄红素抗癌潜力的最新研究进展,阐明当前研究的局限性、优化策略和未来研究方向,以指导临床转化:方法:使用番茄红素、癌症、药代动力学和毒性等关键词,系统地检索各种数据库,如 Web of Science、PubMed 和中国国家知识基础设施,以查找相关文章。然后对检索到的文献进行分类和总结,以提供关于番茄红素和盐酸番茄红素抗癌潜力研究进展的概述:结果:番茄红素和盐酸番茄红素通过诱导细胞周期停滞、引发细胞衰老、调节细胞程序性死亡、抑制血管生成、抑制转移和调节免疫系统等多种机制,在体外和体内对各种癌症具有显著的抗癌活性。此外,还总结了药代动力学特征和毒性数据。此外,本综述还讨论了番茄红素的可药性、局限性、优化策略和靶点识别,为未来的临床前研究提供了启示:结论:番茄红素和盐酸番茄红素的抗癌效果和安全性表明其具有临床应用的潜力。对其深层机制的进一步研究以及针对其局限性的优化策略将加深对番茄红素和盐酸番茄红素的理解并提高其可药用性。
{"title":"Uncover the anticancer potential of lycorine.","authors":"Yan-Ming Zhang, Ting Li, Chun-Cao Xu, Jia-Yu Qian, Hongwei Guo, Xiaolei Zhang, Zha-Jun Zhan, Jin-Jian Lu","doi":"10.1186/s13020-024-00989-9","DOIUrl":"10.1186/s13020-024-00989-9","url":null,"abstract":"<p><strong>Background: </strong>Natural products have a long history in drug discovery. Lycorine is an alkaloid derived from Amaryllidaceae plants, demonstrating significant pharmacological potential. Lycorine and its hydrochloride salt, lycorine hydrochloride, have shown outstanding anticancer effects both in vitro and in vivo.</p><p><strong>Purpose: </strong>This review aims to comprehensively summarize recent research advancements regarding the anticancer potential of lycorine and lycorine hydrochloride. It intends to elucidate current research limitations, optimization strategies, and future research directions to guide clinical translation.</p><p><strong>Methods: </strong>Various databases, e.g., Web of Science, PubMed, and Chinese National Knowledge Infrastructure, are systematically searched for relevant articles using keywords such as lycorine, cancer, pharmacokinetics, and toxicity. The retrieved literature is then categorized and summarized to provide an overview of the research advancements in the anticancer potential of lycorine and lycorine hydrochloride.</p><p><strong>Results: </strong>Lycorine and lycorine hydrochloride demonstrate significant anticancer activities against various types of cancer both in vitro and in vivo, employing diverse mechanisms such as inducing cell cycle arrest, triggering cellular senescence, regulating programmed cell death, inhibiting angiogenesis, suppressing metastasis, and modulating immune system. Furthermore, pharmacokinetic profiles and toxicity data are summarized. Additionally, this review discusses the druggability, limitations, optimization strategies, and target identification of lycorine, offering insights for future preclinical studies.</p><p><strong>Conclusion: </strong>The anticancer effects and safety profile of lycorine and lycorine hydrochloride suggest promising potential for clinical applications. Further research on their in-depth mechanisms and optimization strategies targeting their limitations will enhance the understanding and druggability of lycorine and lycorine hydrochloride.</p>","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"19 1","pages":"121"},"PeriodicalIF":5.3,"publicationDate":"2024-09-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11382518/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142153266","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Targeting lipid droplets and lipid droplet-associated proteins: a new perspective on natural compounds against metabolic diseases. 针对脂滴和脂滴相关蛋白:天然化合物防治代谢疾病的新视角。
IF 5.3 3区 医学 Q1 INTEGRATIVE & COMPLEMENTARY MEDICINE Pub Date : 2024-09-04 DOI: 10.1186/s13020-024-00988-w
Xinyue Jiang, Hongzhan Wang, Kexin Nie, Yang Gao, Shen Chen, Yueheng Tang, Zhi Wang, Hao Su, Hui Dong

Background: Lipid droplet (LD) is a metabolically active organelle, which changes dynamically with the metabolic state and energy requirements of cells. Proteins that either insert into the LD phospholipid monolayer or are present in the cytoplasm, playing a crucial role in lipid homeostasis and signaling regulation, are known as LD-associated proteins.

Methods: The keywords "lipid droplets" and "metabolic diseases" were used to obtain literature on LD metabolism and pathological mechanism. After searching databases including Scopus, OVID, Web of Science, and PubMed from 2013 to 2024 using terms like "lipid droplets", "lipid droplet-associated proteins", "fatty liver disease", "diabetes", "diabetic kidney disease", "obesity", "atherosclerosis", "hyperlipidemia", "natural drug monomers" and "natural compounds", the most common natural compounds were identified in about 954 articles. Eventually, a total of 91 studies of 10 natural compounds reporting in vitro or in vivo studies were refined and summarized.

Results: The most frequently used natural compounds include Berberine, Mangostin, Capsaicin, Caffeine, Genistein, Epigallocatechin-3-gallate, Chlorogenic acid, Betaine, Ginsenoside, Resveratrol. These natural compounds interact with LD-associated proteins and help ameliorate abnormal LDs in various metabolic diseases.

Conclusion: Natural compounds involved in the regulation of LDs and LD-associated proteins hold promise for treating metabolic diseases. Further research into these interactions may lead to new therapeutic applications.

背景:脂滴(LD)是一种代谢活跃的细胞器,随着细胞的代谢状态和能量需求而动态变化。插入脂滴磷脂单层或存在于细胞质中的蛋白质在脂质平衡和信号调节中发挥着重要作用,这些蛋白质被称为脂滴相关蛋白质:方法:以 "脂滴 "和 "代谢性疾病 "为关键词,获取有关脂滴代谢和病理机制的文献。使用 "脂滴"、"脂滴相关蛋白"、"脂肪肝"、"糖尿病"、"糖尿病肾病"、"肥胖症"、"动脉粥样硬化"、"高脂血症"、"天然药物单体 "和 "天然化合物 "等关键词检索2013年至2024年的Scopus、OVID、Web of Science和PubMed等数据库,在约954篇文章中发现了最常见的天然化合物。最终,对 10 种天然化合物的 91 项体外或体内研究报告进行了提炼和总结:结果:最常用的天然化合物包括小檗碱、芒果苷、辣椒素、咖啡因、染料木素、表儿茶素-3-棓酸盐、绿原酸、甜菜碱、人参皂苷、白藜芦醇。这些天然化合物与低密度脂蛋白相关蛋白相互作用,有助于改善各种代谢疾病中的异常低密度脂蛋白:结论:参与调节低密度脂蛋白和低密度脂蛋白相关蛋白的天然化合物有望治疗代谢性疾病。对这些相互作用的进一步研究可能会带来新的治疗应用。
{"title":"Targeting lipid droplets and lipid droplet-associated proteins: a new perspective on natural compounds against metabolic diseases.","authors":"Xinyue Jiang, Hongzhan Wang, Kexin Nie, Yang Gao, Shen Chen, Yueheng Tang, Zhi Wang, Hao Su, Hui Dong","doi":"10.1186/s13020-024-00988-w","DOIUrl":"10.1186/s13020-024-00988-w","url":null,"abstract":"<p><strong>Background: </strong>Lipid droplet (LD) is a metabolically active organelle, which changes dynamically with the metabolic state and energy requirements of cells. Proteins that either insert into the LD phospholipid monolayer or are present in the cytoplasm, playing a crucial role in lipid homeostasis and signaling regulation, are known as LD-associated proteins.</p><p><strong>Methods: </strong>The keywords \"lipid droplets\" and \"metabolic diseases\" were used to obtain literature on LD metabolism and pathological mechanism. After searching databases including Scopus, OVID, Web of Science, and PubMed from 2013 to 2024 using terms like \"lipid droplets\", \"lipid droplet-associated proteins\", \"fatty liver disease\", \"diabetes\", \"diabetic kidney disease\", \"obesity\", \"atherosclerosis\", \"hyperlipidemia\", \"natural drug monomers\" and \"natural compounds\", the most common natural compounds were identified in about 954 articles. Eventually, a total of 91 studies of 10 natural compounds reporting in vitro or in vivo studies were refined and summarized.</p><p><strong>Results: </strong>The most frequently used natural compounds include Berberine, Mangostin, Capsaicin, Caffeine, Genistein, Epigallocatechin-3-gallate, Chlorogenic acid, Betaine, Ginsenoside, Resveratrol. These natural compounds interact with LD-associated proteins and help ameliorate abnormal LDs in various metabolic diseases.</p><p><strong>Conclusion: </strong>Natural compounds involved in the regulation of LDs and LD-associated proteins hold promise for treating metabolic diseases. Further research into these interactions may lead to new therapeutic applications.</p>","PeriodicalId":10266,"journal":{"name":"Chinese Medicine","volume":"19 1","pages":"120"},"PeriodicalIF":5.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11373146/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142132027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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Chinese Medicine
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