Li Shen

Mr. Li Shen


Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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9 May 2024 in Frontiers in Pharmacology
Verified
Journal Article
Open access
PDF file
JWJiaqiang Wu
Jiaqiang Wu
HPHong Pan
Hong Pan
LSLi Shen
Li Shen
MZMingyi Zhao
Mingyi Zhao
Background: The development and marketing of Bedaquiline (BDQ) represent significant advancements in treating tuberculosis, particularly multidrug-resistant forms. However, comprehensive research into BDQ’s real-world safety remains limited.Purpose: We obtained BDQ related adverse event (AE) information from the US Food and Drug Administration’s Adverse Event Reporting System (FAERS) to assess its safety and inform drug usage.Methods: The AE data for BDQ from 2012 Q4 to 2023 Q3 was collected and standardized. Disproportionality analysis, including Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Multi-item Gamma Poisson Shrinker (MGPS), and Bayesian Confidence Propagation Neural Network (BCPNN) was used to quantify signals of BDQ-related AEs. Logistic regression was used to analyze the individual data of hepatotoxicity and drug-induced liver injury, and multiple linear regression models were established. Additionally, network pharmacology was employed to identify the potential biological mechanisms of BDQ-induced liver injury.Results: We identified 2017 case reports directly related to BDQ. Our analysis identified 341 Preferred Terms (PTs) characterizing these AEs across 27 System Organ Classes (SOC). An important discovery was the identification of AEs associated with ear and labyrinth disorders, which had not been documented in the drug’s official leaflet before. Subgroup analysis revealed a negative correlation between BDQ-related liver injury and females (OR: 0.4, 95%CI: 0.3–0.6). In addition, via network pharmacology approach, a total of 76 potential targets for BDQ related liver injury were predicted, and 11 core target genes were selected based on the characterization of protein-protein interactions. The pathway linked to BDQ-induced liver injury was identified, and it was determined that the PI3K-Akt signaling pathway contained the highest number of associated genes.Conclusion: The analysis of the FAERS database revealed adverse events linked to BDQ, prompting the use of a network pharmacology approach to study the potential molecular mechanism of BDQ-induced liver injury. These findings emphasized the significance of drug safety and offered understanding into the mechanisms behind BDQ-induced liver injury. BDQ demonstrated distinct advantages, including reduced incidence of certain adverse events compared to traditional treatments such as injectable agents and second-line drugs. However, it is important to acknowledge the limitations of this analysis, including potential underreporting and confounding factors. This study provides valuable insights into the safety of BDQ and its role in the management of MDR-TB, emphasizing the need for continued surveillance and monitoring to ensure its safe and effective use.

5 September 2022 in Computational and Mathematical Methods in Medicine
Verified
Journal Article
Open access
LSLi Shen
Li Shen
JLJinmiao Lu
Jinmiao Lu
GWGuangfei Wang
Guangfei Wang
CWCheng Wang
Cheng Wang
ZLZhiping Li
Zhiping Li
Molecular Mechanism of YuPingFeng in the Treatment of Asthma Based on Network Pharmacology and Molecular Docking Technology: Objective. To explore the molecular targets and mechanism of YuPingFeng (YPF) for the treatment of asthma by using network pharmacology and molecular docking. Methods. The potential active ingredients and relevant targets of YPF were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Asthma-related gene targets were retrieved from GeneCards, OMIM, DrugBank, PharmGKB, and TTD databases. The protein-protein (PPI) network between YPF and asthma common targets was constructed by SRING online database and Cytoscape software. GO and KEGG analyses were performed to explore the complicated molecular biological processes and potential pathways. Finally, a molecular docking approach was carried out to verify the results. Results. We obtained 100 potential targets of the 35 active ingredients in YPF and 1610 asthma-related targets. 60 YPF-asthma common targets were selected to perform PPI analysis. Seven core genes were screened based on two topological calculation methods. GO and KEGG results showed that the main pathways of YPF in treating asthma include TNF signaling pathway and PI3K-Akt signaling pathway. Finally, the molecular docking results indicated that the key ingredients of YPF had a good affinity with the relevant core genes. Conclusion. This study reflects the multicomponent, multitarget, and multipathway characteristics of YPF in treating asthma, providing a theoretical and scientific basis for the intervention of asthma by traditional Chinese medicine YPF.

28 December 2024 in Scientific Reports
Verified
Journal Article
Open access
PDF file
HPHong Pan
Hong Pan
XSXiang Shi
Xiang Shi
YJYiguo Jiang
Yiguo Jiang
JWJiaqiang Wu
Jiaqiang Wu
LSLi Shen
Li Shen
Background NK-1 receptor antagonists (NK-1RAs) are proven to be successful in preventing chemotherapy-induced nausea and vomiting (CINV). The safety profile of NK-1RAs has not been systematically analyzed in the real world. This pharmacovigilance study investigated the differences in adverse events (AEs) between NK-1RAs. Methods Adverse events (AEs) associated with NK-1RAs were gathered and standardized using data from the FAERS database spanning from the first quarter of 2009 to the fourth quarter of 2023. Various disproportionality techniques were employed for data analysis, such as the Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), Bayesian Confidence Propagation Neural Network (BCPNN), and Multi-item Gamma Poisson Shrinker (MGPS). Results A total of 5434AE reports listing NK-1RAs as the primary suspected drugs were identified. The System Organ Classes (SOC) appeared as significant safety signals were found. Among NK-1RAs, the most frequently reported AEs were related to general disorders and administration site conditions. In terms of PT level, the strong signals were mainly injection site reactions associated with aprepitant and fosaprepitant. Moreover, toxic encephalopathy and encephalopathy of the aprepitant were all positive with four algorithms. A significant finding was the recognition of adverse events linked to endocrine disorders, which were not previously mentioned in the medication instructions. Conclusion The safety profile of NK-1RAs has been reported to be variable.If intravenous formulations were used in the clinic, injection site reactions should be a concern. In addition, more attention should be paid to the management of encephalopathy toxicity in patients treated with aprepitant in combination with ifosfamide. Besides known AEs, we have identified several new high-risk AEs, such as inappropriate antidiuretic hormone secretion, adrenal insufficiency and hyponatraemia. Overall, clinicians should closely monitor the occurrence of NK-1RA-related AEs in clinical applications.

1 January 2021 in BioMed Research International
Verified
Journal Article
Open access
PDF file
LSLi Shen
Li Shen
YJYiguo Jiang
Yiguo Jiang
JLJinmiao Lu
Jinmiao Lu
GWGuangfei Wang
Guangfei Wang
XZXiaolan Zhang
Xiaolan Zhang
ZLZhiping Li
Zhiping Li
Objective. Exploration of the underlying molecular mechanism of Jinchan Oral Liquid (JOL) in treating children with the respiratory syncytial virus (RSV) pneumonia to provide new evidence for the clinical application. Methods. The active components and target genes of JOL were screened by the TCMSP database. The targets of RSV pneumonia were obtained from the GeneCards, OMIM, DrugBank, and PharmGKB database. Then, we constructed the active component‐target network and screened the core genes. The overlaps were screened for PPI network analysis, GO analysis, and KEGG analysis. Finally, result validation was performed by molecular docking. Results. According to the screening criteria of the ADME, 74 active compounds of JOL were obtained; after removing redundant targets, we selected 180 potential targets. By screening the online database, 893 RSV pneumonia‐related targets were obtained. A total of 82 overlapping genes were chosen by looking for the intersection. The STRING online database was used to acquire PPI relationships, and 16 core genes were obtained. GO and KEGG analyses showed that the main pathways of JOL in treating RSV pneumonia include TNF signaling pathway and IL17 signaling pathway. The molecular docking results showed that the active compounds of JOL had a good affinity with the core genes. Conclusion. In this study, we preliminarily discussed the main active ingredients, related targets, and pathways of JOL and predicted the pharmacodynamic basis and the potential therapeutic mechanisms of RSV pneumonia. In summary, the network pharmacology strategy may be helpful for the discovery of multitarget drugs against complex diseases.