1.tRF Prospect: tRNA-derived Fragment Target Prediction Based on Neural Network Learning
Dai-Xi REN ; Jian-Yong YI ; Yong-Zhen MO ; Mei YANG ; Wei XIONG ; Zhao-Yang ZENG ; Lei SHI
Progress in Biochemistry and Biophysics 2025;52(9):2428-2438
ObjectiveTransfer RNA-derived fragments (tRFs) are a recently characterized and rapidly expanding class of small non-coding RNAs, typically ranging from 13 to 50 nucleotides in length. They are derived from mature or precursor tRNA molecules through specific cleavage events and have been implicated in a wide range of cellular processes. Increasing evidence indicates that tRFs play important regulatory roles in gene expression, primarily by interacting with target messenger RNAs (mRNAs) to induce transcript degradation, in a manner partially analogous to microRNAs (miRNAs). However, despite their emerging biological relevance and potential roles in disease mechanisms, there remains a significant lack of computational tools capable of systematically predicting the interaction landscape between tRFs and their target mRNAs. Existing databases often rely on limited interaction features and lack the flexibility to accommodate novel or user-defined tRF sequences. The primary goal of this study was to develop a machine learning based prediction algorithm that enables high-throughput, accurate identification of tRF:mRNA binding events, thereby facilitating the functional analysis of tRF regulatory networks. MethodsWe began by assembling a manually curated dataset of 38 687 experimentally verified tRF:mRNA interaction pairs and extracting seven biologically informed features for each pair: (1) AU content of the binding site, (2) site pairing status, (3) binding region location, (4) number of binding sites per mRNA, (5) length of the longest consecutive complementary stretch, (6) total binding region length, and (7) seed sequence complementarity. Using this dataset and feature set, we trained 4 distinct machine learning classifiers—logistic regression, random forest, decision tree, and a multilayer perceptron (MLP)—to compare their ability to discriminate true interactions from non-interactions. Each model’s performance was evaluated using overall accuracy, receiver operating characteristic (ROC) curves, and the corresponding area under the ROC curve (AUC). The MLP consistently achieved the highest AUC among the four, and was therefore selected as the backbone of our prediction framework, which we named tRF Prospect. For biological validation, we retrieved 3 high-throughput RNA-seq datasets from the gene expression omnibus (GEO) in which individual tRFs were overexpressed: AS-tDR-007333 (GSE184690), tRF-3004b (GSE197091), and tRF-20-S998LO9D (GSE208381). Differential expression analysis of each dataset identified genes downregulated upon tRF overexpression, which we designated as putative targets. We then compared the predictions generated by tRF Prospect against those from three established tools—tRFTar, tRForest, and tRFTarget—by quantifying the number of predicted targets for each tRF and assessing concordance with the experimentally derived gene sets. ResultsThe proposed algorithm achieved high predictive accuracy, with an AUC of 0.934. Functional validation was conducted using transcriptome-wide RNA-seq datasets from cells overexpressing specific tRFs, confirming the model’s ability to accurately predict biologically relevant downregulation of mRNA targets. When benchmarked against established tools such as tRFTar, tRForest, and tRFTarget, tRF Prospect consistently demonstrated superior performance, both in terms of predictive precision and sensitivity, as well as in identifying a higher number of true-positive interactions. Moreover, unlike static databases that are limited to precomputed results, tRF Prospect supports real-time prediction for any user-defined tRF sequence, enhancing its applicability in exploratory and hypothesis-driven research. ConclusionThis study introduces tRF Prospect as a powerful and flexible computational tool for investigating tRF:mRNA interactions. By leveraging the predictive strength of deep learning and incorporating a broad spectrum of interaction-relevant features, it addresses key limitations of existing platforms. Specifically, tRF Prospect: (1) expands the range of detectable tRF and target types; (2) improves prediction accuracy through multilayer perceptron model; and (3) allows for dynamic, user-driven analysis beyond database constraints. Although the current version emphasizes miRNA-like repression mechanisms and faces challenges in accurately capturing 5'UTR-associated binding events, it nonetheless provides a critical foundation for future studies aiming to unravel the complex roles of tRFs in gene regulation, cellular function, and disease pathogenesis.
2.Study on the safety and efficacy of novel portable extracorporeal membrane oxygenation in animal experiments in vivo
Meng-En ZHAI ; Jian-Chao LUO ; Lin-He LU ; Yu-Chao REN ; Ping JIN ; Zhen-Hua LIU ; Jian YANG ; Zhen-Xiao JIN ; Jin-Cheng LIU ; Yang LIU
Chinese Journal of Interventional Cardiology 2024;32(8):447-450
Objective To verify the safety and efficacy of a new portable extracorporeal membrane oxygenation(ECMO)system(Xijing Advanced Life Support System JC-Ⅲ)in large animals.Methods A total of 10 healthy small fat-tail sheep underwent veno-arterial extracorporeal membrane oxygenation(VA-ECMO)support by carotid arterial-jugular catheterization to evaluate the performance of the JC-Ⅲ ECMO system.Systemic anticoagulation was achieved by continuous infusion of heparin.Active coagulation time(ACT)was recorded every 2 hours during the experiment,and the ACT was maintained between 200-250 s.Centrifugal pump speed is set at 3 000-3 500 r/min.The changes of hemoglobin,blood cell counts,hematocrit,liver and kidney function were monitored before and 24 h after ECMO initiation,respectively.After the experiment,the pump and oxygenator were dissected to probe the thrombosis.Results The success rate of VA-ECMO operation was 100%,and there was no hemolysis,pump thrombosis and oxygenator thrombosis after 24 h of ECMO.Before and after the operation,there were no significant changes in indicators such as hemoglobin content,white blood cell counts,platelet counts,alanine aminotransferase concentration,aspartate aminotransferase concentration,urea,creatinine,high-sensitivity troponin Ⅰ,and N-terminal pro-brain natriuretic peptide(all P>0.05).Conclusions This in vivo study confirms that Xijing Advanced Life support System JC-Ⅲ is safe and effective.
3.Radix Angelica Sinensis and Radix Astragalus ultrafiltration extract improves radiation-induced pulmonary fibrosis in rats by regulating NLRP3/caspase-1/GSDMD pyroptosis pathway
Chun-Zhen REN ; Jian-Fang YUAN ; Chun-Ling WANG ; Xiao-Dong ZHI ; Qi-Li ZHANG ; Qi-Lin CHEN ; Xin-Fang LYU ; Xiang GAO ; Xue WU ; Xin-Ke ZHAO ; Ying-Dong LI
Chinese Pharmacological Bulletin 2024;40(11):2124-2131
Aim To investigate the mechanism of py-roptosis mediated by the NLRP3/caspase-1/GSDMD signaling pathway and the intervention effect of Radix Angelica Sinensis and Radix Astragalus ultrafiltration extract(RAS-RA)in radiation-induced pulmonary fi-brosis.Methods Fifty Wistar rats were randomly di-vided into five groups,with ten rats in each group.Ex-cept for the blank control group,all other groups of rats were anesthetized and received a single dose of 40 Gy X-ray local chest radiation to establish a radiation-in-duced pulmonary fibrosis rat model.After radiation,the rats in the RAS-RA intervention groups were orally administered doses of 0.12,0.24 and 0.48 g·kg-1 once a day for 30 days.The average weight and lung index of the rats were observed after 30 days of contin-uous administration.Hydroxyproline(HYP)content in lung tissue was determined by hydrolysis method.The levels of IL-18 and IL-1 β in serum were detected by ELISA.Lung tissue pathological changes were ob-served by HE and Masson staining.Ultrastructural changes in lung tissue were observed by transmission e-lectron microscopy.The expression levels of NLRP3/caspase-1/GSDMD pyroptosis pathway-related proteins and fibrosis-related proteins in lung tissue were detec-ted by Western blot.Results Compared with the blank group,the HYP content in lung tissue and the levels of IL-18 and IL-1 β in serum significantly in-creased in the model group(P<0.01).HE and Mas-son staining showed inflammatory cell infiltration and collagen fiber deposition.Transmission electron mi-croscopy revealed increased damaged mitochondria,disordered arrangement,irregular morphology,shallow matrix,outer membrane rupture,mostly fractured and shortened cristae,mild expansion,increased electron density of individual mitochondrial matrix,mild sparse structure of lamellar bodies,partial disorder,unclear organelles,and characteristic changes of pyroptosis.Western blot analysis showed increased expression of caspase-1,GSDMD,NLRP3,CoL-Ⅰ,α-SMA,and CoL-Ⅲ proteins(P<0.01).Compared with the model group,the RAS-RA intervention group showed signifi-cant improvement in body mass index and lung index of rats,decreased levels of IL-18 and IL-1 β inflammatory factors(P<0.01),improved mitochondrial structure,reduced degree of fibrosis,and decreased expression of caspase-1,GSDMD,NLRP3,COL-Ⅰ,COL-Ⅲ,and α-SMA proteins in lung tissue(P<0.01).Conclusion RAS-RA has an inhibitory effect on radiation-in-duced pulmonary fibrosis,and its mechanism may be related to the inhibition of pyroptosis through the regu-lation of the NLRP3/caspase-1/GSDMD signaling pathway.
4.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
6.Clinical study of modified Shishi Niubangzi Decoction combined with strengthening tendons-waist exercise on lumbar disc herniation
Jinshan BAI ; Zhiyong XIE ; Xuesong LU ; Zhen ZHANG ; Na LI ; Xibin REN ; Guofan JIAN ; Hongsheng ZHAN
International Journal of Traditional Chinese Medicine 2023;45(4):421-425
Objective:To observe the clinical effect of modified Shishi Niubangzi Decoction combined with strengthening muscle-waist exercise on lumbar disc herniation (LDH).Methods:Randomized controlled trial. A total of 60 patients with LDH admitted to the Pinggu Hospital, Beijing Traditional Chinese Medicine Hospital, were enrolled as the research objects between September 2020 and September 2021. According to the random number table, they were randomly divided into the treatment group and control group, 30 in each group. Both groups were given routine basic treatments (strengthening tendons-waist exercise and three-position six-step manipulation). On this basis, the treatment group was treated with modified Shishi Niubangzi Decoction, while the control group was treated with non-steroidal anti-inflammatory drugs (ibuprofen codeine sustained-release tablets). Both groups were treated for 4 weeks. The responsive rates, back pain intensity, leg pain and numbness by Visual Analogue Scale (VAS) and lumbar function by Oswestry Disability Index (ODI), and Japanese Orthopaedic Association (JOA) were compared between the two groups.Results:The response rate of treatment group was significantly higher than that of control group (93.3% vs. 73.3%; χ2=4.32, P=0.038). After treatment, scores of JOA (subjective symptoms, signs, activities of daily living) in the treatment group were significantly higher than those in the control group ( t=3.86, 2.71, 2.21, P<0.05). After treatment, scores of back pain (2.12±0.21 vs. 3.02±0.32, t=12.88), leg pain (2.04±0.64 vs. 2.64±0.66, t=3.58), lower limb numbness (1.75±0.24 vs. 2.41±0.70, t=4.89) in the treatment group were significantly lower than those in the control group ( P<0.01). At 1 week and 1 month after treatment, ODI scores in treatment group were significantly lower than those in control group ( t=10.22, 5.59; P<0.05). Conclusion:The modified Shishi Niubangzi Decoction combined with strengthening tendons-waist exercise can improve responsive rates, improve lumbar pain and function in LDH patients.
7.Incidence of extrauterine growth retardation and its risk factors in very preterm infants during hospitalization: a multicenter prospective study.
Wei SHEN ; Zhi ZHENG ; Xin-Zhu LIN ; Fan WU ; Qian-Xin TIAN ; Qi-Liang CUI ; Yuan YUAN ; Ling REN ; Jian MAO ; Bi-Zhen SHI ; Yu-Mei WANG ; Ling LIU ; Jing-Hui ZHANG ; Yan-Mei CHANG ; Xiao-Mei TONG ; Yan ZHU ; Rong ZHANG ; Xiu-Zhen YE ; Jing-Jing ZOU ; Huai-Yu LI ; Bao-Yin ZHAO ; Yin-Ping QIU ; Shu-Hua LIU ; Li MA ; Ying XU ; Rui CHENG ; Wen-Li ZHOU ; Hui WU ; Zhi-Yong LIU ; Dong-Mei CHEN ; Jin-Zhi GAO ; Jing LIU ; Ling CHEN ; Cong LI ; Chun-Yan YANG ; Ping XU ; Ya-Yu ZHANG ; Si-Le HU ; Hua MEI ; Zu-Ming YANG ; Zong-Tai FENG ; San-Nan WANG ; Er-Yan MENG ; Li-Hong SHANG ; Fa-Lin XU ; Shao-Ping OU ; Rong JU
Chinese Journal of Contemporary Pediatrics 2022;24(2):132-140
OBJECTIVES:
To investigate the incidence of extrauterine growth retardation (EUGR) and its risk factors in very preterm infants (VPIs) during hospitalization in China.
METHODS:
A prospective multicenter study was performed on the medical data of 2 514 VPIs who were hospitalized in the department of neonatology in 28 hospitals from 7 areas of China between September 2019 and December 2020. According to the presence or absence of EUGR based on the evaluation of body weight at the corrected gestational age of 36 weeks or at discharge, the VPIs were classified to two groups: EUGR group (n=1 189) and non-EUGR (n=1 325). The clinical features were compared between the two groups, and the incidence of EUGR and risk factors for EUGR were examined.
RESULTS:
The incidence of EUGR was 47.30% (1 189/2 514) evaluated by weight. The multivariate logistic regression analysis showed that higher weight growth velocity after regaining birth weight and higher cumulative calorie intake during the first week of hospitalization were protective factors against EUGR (P<0.05), while small-for-gestational-age birth, prolonged time to the initiation of total enteral feeding, prolonged cumulative fasting time, lower breast milk intake before starting human milk fortifiers, prolonged time to the initiation of full fortified feeding, and moderate-to-severe bronchopulmonary dysplasia were risk factors for EUGR (P<0.05).
CONCLUSIONS
It is crucial to reduce the incidence of EUGR by achieving total enteral feeding as early as possible, strengthening breastfeeding, increasing calorie intake in the first week after birth, improving the velocity of weight gain, and preventing moderate-severe bronchopulmonary dysplasia in VPIs.
Female
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Fetal Growth Retardation
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Gestational Age
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Hospitalization
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Humans
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Incidence
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Infant
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Infant, Newborn
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Infant, Premature
;
Infant, Very Low Birth Weight
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Prospective Studies
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Risk Factors
8.Risk factors of hidden blood loss in percutaneous vertebral augmentation.
Zhi-Hua WU ; Ling MO ; Huan-Tong CHENG ; De LIANG ; Jian-Chao CUI ; Jing-Jing TANG ; Hui REN ; Zhen-Song YAO ; Xiao-Bing JIANG
China Journal of Orthopaedics and Traumatology 2022;35(8):732-735
OBJECTIVE:
To explore the risk factors of hidden blood loss in osteoporosis vertebral compression fractures during percutaneous vertebral augmentation.
METHODS:
From October 2018 to December 2019, 360 patients with osteoporosis vertebral compression fractures who received percutaneous vertebral augmentation were enrolled in this study. The factors analyzed included gender, age, surgical methods, disease course, height, weight, the operative segment, bone mineral density, amount of bone cement, operative time, percentage of height loss, percentage of vertebral height restoration, cement leakage, blood clotting function, preoperative and postoperative hemoglobin and hematocrit and other internal diseases. Total blood loss was calculated by Gross's formula, influential factors of the hidden blood loss were further analyzed by t-test, multivariate linear regression and one-way ANOVA analysis.
RESULTS:
Surgical methods, the operative segment, disease course, cement leakage, preoperative hemoglobin, cement leakage via the basivertebral and segmental vein were significantly correlated with hidden blood loss(P<0.05).
CONCLUSION
Patients with percutaneous kyphoplasty, two-level and multi-level surgery, the course of the disease beyond 6 weeks, cement leakage via the basivertebral and segmental vein, and lower preoperative hemoglobin had more perioperative hidden blood loss.
Bone Cements/adverse effects*
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Fractures, Compression/etiology*
;
Humans
;
Kyphoplasty/methods*
;
Osteoporosis/complications*
;
Osteoporotic Fractures/surgery*
;
Retrospective Studies
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Risk Factors
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Spinal Fractures/etiology*
;
Treatment Outcome
;
Vertebroplasty/adverse effects*
9.Anatomical characteristics of patients with symptomatic severe aortic stenosis in China.
Tian-Yuan XIONG ; Yi-Ming LI ; Yi-Jun YAO ; Yu-Heng JIA ; Kai XU ; Zhen-Fei FANG ; Jun JIN ; Guo-Sheng FU ; Yi-Ning YANG ; Lei JIANG ; Wei-Dong LI ; Yan-Qing WU ; Yan-Song GUO ; Ran GUO ; Yun-Dai CHEN ; Yi LI ; Yi-Bing SHAO ; Yi ZHANG ; Bo-Sen YANG ; Yi-Ke ZHANG ; Jing-Jing HE ; Kai-Yu JIA ; Sheng-Hu HE ; Fa-Xin REN ; Jian-Cheng XIU ; Xing-Hua GU ; Liang-Long CHEN ; Ke HAN ; Yuan FENG ; Mao CHEN
Chinese Medical Journal 2021;134(22):2738-2740
10.Expert consensus on Tongsaimai Tablets/Capsules in treatment of peripheral vascular diseases in clinical practice.
Ye-Min CAO ; Yu-Zhen WANG ; Xiao-Hua PEI ; Bo-Hua YANG ; Cheng ZHAO ; Yu-Dong FANG ; Hua-Fa QUE ; Yu-Feng JIANG ; Xu-Ying XU ; Cheng-Yong XIA ; Jian-Qiang ZHANG ; Chun-Hong HE ; Li-Ren MA
China Journal of Chinese Materia Medica 2021;46(24):6568-6573
Tongsaimai Tablets/Capsules are composed of Lonicerae Japonicae Flos, Angelicae Sinensis Radix, Achyranthis Bidentatae Radix, Codonopsis Radix, Dendrobii Caulis, Astragali Radix, Scrophulariae Radix, and Glycyrrhizae Radix et Rhizoma, and are effective in promoting blood circulation, removing blood stasis, supplementing Qi, and nourishing Yin. It is widely used in the treatment of peripheral vascular diseases. With 40 years of clinical application, it has accumulated substantial research data and application experience. Its good clinical efficacy and pharmacoeconomic benefits in improving the clinical symptoms of peripheral vascular diseases have been confirmed by relevant research. Meanwhile, this drug has also been recommended by many expert consensus, guidelines, and teaching materials, serving as one of the most commonly used Chinese patent medicines in clinical practice. To further improve the understanding of the drug among clinicians and properly guide its clinical medication, the China Association of Chinese Medicine took the lead and organized experts to jointly formulate this expert consensus. Based on the questionnaire survey of clinicians and the systematic review of research literature on Tongsaimai Tablets/Capsules with clinical problems in the PICO framework, the consensus, combined with expert experience, concludes recommendations or consensus suggestions by GRADE system with the optimal evidence available through the nominal group technique. This consensus defines the indications, usage, dosage, course of treatment, medication time, combined medication, and precautions of Tongsaimai Tablets/Capsules in the treatment of peripheral vascular diseases, and explains the safety of its clinical application. It is recommended for clinicians and pharmacists in the peripheral vascular department(vascular surgery), traditional Chinese medicine surgery(general surgery), and endocrinology department of hospitals at all levels in China.
Capsules
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Consensus
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Drugs, Chinese Herbal
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Humans
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Medicine, Chinese Traditional
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Peripheral Vascular Diseases
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Tablets

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