Congcong Zeng

Dr. Congcong Zeng


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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23 December 2020 in Trials
Verified
Journal Article
Open access
PDF file
CZCongcong Zeng
Congcong Zeng
ZYZhengzhong Yuan
Zhengzhong Yuan
XPXiaoqiong Pan
Xiaoqiong Pan
JZJizhou Zhang
Jizhou Zhang
JZJiahui Zhu
Jiahui Zhu
JCJinguo Cheng
Jinguo Cheng
Objectives: We aimed to test our expectation that additional administration of Traditional Chinese medicine (TCM), maxingshigan-weijing decoction, is more effective in the management of COVID-19 patients compared to those treated with routine supportive care alone. Trial design: This is a multicenter, open-label 2-arm (1:1 ratio) randomized controlled trial. Participants: Patients will be recruited from 3 hospitals in Wenzhou China: the First Affiliated Hospital of Wenzhou Medical University, the Second Affiliated Hospital of Wenzhou Medical University and Wenzhou Center Hospital. The inclusion and exclusion criteria are as follows: Inclusion criteria 1. Participants are 18-85 years of age, either male or female. 2. Diagnosed as positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) 3. Symptomatic. Mild (mild clinical symptoms without signs of pneumonia in chest X-ray) and Moderate (fever or respiratory symptom with signs of pneumonia in chest X-ray) . 1. Signed the informed consent before treatment. 2. Agreed not to enroll in any other clinical trials. 3. Inpatients Exclusion criteria 1. < 18 or > 85 years old. 2. Pregnancy and lactation. 3. Serious heart, liver, kidney and hematopoietic system diseases, abnormal liver or kidney function. 4. Suffering from other known virus pneumonia. 5. Allergic to Chinese herbal medicine or suffering from allergies. 6. Critical patients (respiratory failure treated by mechanical ventilation or shock or multiple organ failure). Intervention and comparator: Patients in the control group will receive routine supportive clinically care including the therapies of anti-viral, anti-bacterial and ameliorating the related symptoms, while patients in TCM group will be asked to take maxingshigan-weijing decoction (composed of 14 Chinese herbal medicines), orally 200 mL 2 times daily, for 14 consecutive days in addition to routine supportive care as mentioned above. Maxingshigan-weijing decoction consists of 10 g of Herba Ephedra (Mahuang), 10 g of Amygdalus Communis Vas (Xingren), 45 g of Gypsum Fibrosum (Shigao), 30 g of Rhizoma phragmitis (Lugen), 20 g of Peach kernel (Taoren), 20 g of Winter Melon kernel (Dongguaren), 30 g of Trichosanthes Kirilowii Maxim (Gualou), 12 g of Pericarpium Citri Reticulatae (Chenpi), 12 g of Rhizoma Pinelliae (Jiangbanxia), 12 g of caulis bambusae in taeniis (Zhuru), 30 g of semen lepidii (Tingliz), 15 g of semen lepidii (Shichangpu), 10 g of curcuma zedoary (ezhu) and 5 g of Radix Glycyrrhizae (Gancao). Main outcomes: The primary outcome will be the number of days until the clinical symptom of fever improves in the first 14 days of treatment following randomisation. Fever will be defined as an improvement when the temperature is less than 37°C. Secondary outcomes will be TCM Syndrome Scores, the time it takes until individuals have negative test results for SARS-CoV-2 nucleic acid, the proportion of cases with chest X-ray improvements and the rate of symptom (fever, cough, malaise, shortness of breath) recovery. TCM Syndrome Scoring System is a checklist covering 4 main, 7 secondary and 13 accompanying items. The 4 main items consisting of fever, cough, malaise and shortness of breath, use a four-point scale (0, 2, 4 and 6) depending on the severity; the 7 secondary items including dysphoria, diarrhea, pharyngalgia, expectoration, muscular soreness, nasal obstruction and rhinorrhoea use 0-3-point scale; the 13 accompanying items contain chest pain, headache, aversion to cold, dizziness, nausea and vomiting, anorexia, abdominal distension, dry mouth, anxiety, spontaneous sweating, insomnia, wheezing and blood tinged sputum, and each item is rated on 0-1 scale ( 0 stands for asymptomatic, 1 stands for symptomatic ). The total scores sum up to a range from 0 to 58, with higher scores indicating more severe levels of disease. Randomization: Minimization method will be used, balancing the two arms for pneumonia severity. Patients are randomized (1:1 ratio) to each group. Clinical researchers will get a random sequence number which is automatically generated by a random number generator (IBM Corp., Armonk, NY, USA), and sequentially number them in an opaque envelope. Researchers will open random allocation envelopes and assign participants accordingly. Eligible patients will be randomly divided into a routine supportive care group and a routine supportive care plus oral administration of traditional Chinese medicine group, with 70 patients in each group. Blinding (masking): This is an open-label study. The statistical analysis will be carried out by the Professor of Statistics at Wenzhou Medical University, who is blinded to patient allocation. Numbers to be randomised (sample size): The previous study reported the efficacy of TCM for COVID-19 and H1N1 influenza patients, the median survival time in the TCM group is estimated as 3 days; this time will be 1.5 times longer in the control group. Accordingly, Kaplan-Meier method and log-rank test will be used. And assuming a statistical power of 70% (one-sided type-1 error of α = 5%, β = 30%) and a rate of withdrawal and loss to follow-up of 10%, we plan to include 140 participants in both groups ( TCM group = 70, control group = 70). Trial Status: The trial protocol is Version 2.0, October 14, 2020. Recruitment began March, 2020, and is anticipated to be completed by December 31, 2020. Trial registration: Chinese Clinical Trial Registry, ChiCTR2000030759. Registered on 13 March 2020. Full protocol: The full protocol is attached as an additional file, accessible from the Trials website (Additional file 1). In the interest in expediting dissemination of this material, the familiar formatting has been eliminated; this Letter serves as a summary of the key elements of the full protocol.

12 September 2024 in Frontiers in Pharmacology
Verified
Journal Article
Open access
PDF file
YCYirui Chen
Yirui Chen
CLChen Liu
Chen Liu
HSHongnan Shen
Hongnan Shen
PSPingping Su
Pingping Su
LPLiang Pang
Liang Pang
CJCheng Jinguo
Cheng Jinguo
Background: Membranous glomerulonephritis, also known as membranous nephropathy (MN), is a common cause of nephrotic syndrome in adults. Despite extensive research on MN, bibliometric studies on the subject are scarce. Therefore, this study aimed to provide a visual analysis of global trends in membranous nephropathy research over the past 13 years.Methods: This study conducted a bibliometric and visual analysis of global trends in MN research from 2010 to 2023. Articles related to MN were retrieved from the Web of Science Core Collection (WoSCC) database. Tools such as CiteSpace and VOSviewer were utilized to analyze publications, countries, institutions, authors, publishing journals, co-cited references, and keywords to identify the current state and future trends in MN research.Results: The analysis encompassed 1,624 publications, showing an annual increase from 2010 to 2023. The People’s Republic of China emerged as the most active country in this field, while France’s Sorbonne Universite and Institut National de la Sante et de la Recherche Medicale (Inserm) led in publication volume among academic institutions. Debiec Hanna stood out as the most prolific author. BMC Nephrology had the highest number of publications, making it the most favored journal in the field. The article with the greatest co-citation intensity was “Primary Membranous Nephropathy,” a review published in 2017.Conclusion: This study shows that there has been increasing interest in membranous nephropathy over the past 13 years. The most frequently encountered keywords were “membranous nephropathy” “nephrotic syndrome,” and “glomerulonephritis.” Analysis of emerging terms indicated that “a2 receptor antibody,” “domain containing 7a,” and “t cell” may remain prominent subjects of research in the forthcoming years. The findings highlight key research trends and areas of interest that can inform researchers, clinicians, and policymakers about the current state of MN research and help guide future research directions and clinical practice.

1 April 2026 in Drug Design, Development and Therapy
Verified
Journal Article
Open access
PDF file
LCLu Cao
Lu Cao
PWPeiqi Wang
Peiqi Wang
RLRuibin Li
Ruibin Li
HFHaoxin Fu
Haoxin Fu
JWJun Wu
Jun Wu
CZCongcong Zeng
Congcong Zeng
Introduction: Pazopanib, an oral vascular endothelial growth factor receptor tyrosine kinase inhibitor (VEGFR-TKI), is approved for treating advanced renal cell carcinoma (RCC). However, pazopanib can cause hypertension, often necessitating co-administration with antihypertensives like nicardipine. Given their shared metabolic pathway via cytochrome P450 3A4 (CYP3A4), this study investigated their potential drug-drug interaction (DDI). Methods: An ultra performance liquid chromatography tandem mass spectrometry (UPLC-MS/MS) method was developed for the simultaneous quantification of pazopanib and its metabolite, GSK-1268997. This method was applied to in vitro inhibition studies using rat liver microsomes (RLM) and human liver microsomes (HLM), as well as to an in vivo pharmacokinetic study in rats, to evaluate the impact of nicardipine on pazopanib metabolism. Results: The assay was linear over the concentration ranges of 20– 60,000 ng/mL for pazopanib and 10– 30,000 ng/mL for GSK-1268997. The intra- and inter-day precision (relative standard deviations, RSD%) for the analytes ranged from 1.5% to 14.5%, with accuracy (relative errors, RE%) within ± 10.2%. The method also demonstrated acceptable selectivity, stability, matrix effect, and recovery. In vitro, nicardipine inhibited the metabolism of pazopanib in both RLM and HLM. In rats, co-administration of nicardipine significantly increased pazopanib exposure. The AUC(0–t) and AUC(0–∞) of pazopanib were increased by 4.03- and 4.31-fold, respectively, while the maximum plasma concentration (Cmax) was increased by 1.60-fold. Conversely, the plasma clearance (CLz/F) was decreased by 78.26%. Discussion: The findings demonstrated that nicardipine significantly inhibited the metabolism of pazopanib both in vitro and in vivo, leading to substantially increased systemic exposure of pazopanib. This clinically significant finding suggests that, when these two drugs are used in combination, plasma drug concentrations should be closely monitored and the need for dose adjustment should be considered.

11 March 2026 in Chemico-Biological Interactions
Verified
Journal Article
Closed access
WWWenzhi Wu
Wenzhi Wu
XCXiaohai Chen
Xiaohai Chen
WZWeiyi Zhang
Weiyi Zhang
HFHaoxin Fu
Haoxin Fu
JCJie Chen
Jie Chen
CZCongcong Zeng
Congcong Zeng