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Xu M, Li W, He J, Wang Y, Lv J, He W, Chen L, Zhi H. DDCM: A Computational Strategy for Drug Repositioning Based on Support-Vector Regression Algorithm. Int J Mol Sci 2024; 25:5267. [PMID: 38791306 PMCID: PMC11121335 DOI: 10.3390/ijms25105267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/29/2024] [Revised: 04/25/2024] [Accepted: 05/06/2024] [Indexed: 05/26/2024] Open
Abstract
Computational drug-repositioning technology is an effective tool for speeding up drug development. As biological data resources continue to grow, it becomes more important to find effective methods to identify potential therapeutic drugs for diseases. The effective use of valuable data has become a more rational and efficient approach to drug repositioning. The disease-drug correlation method (DDCM) proposed in this study is a novel approach that integrates data from multiple sources and different levels to predict potential treatments for diseases, utilizing support-vector regression (SVR). The DDCM approach resulted in potential therapeutic drugs for neoplasms and cardiovascular diseases by constructing a correlation hybrid matrix containing the respective similarities of drugs and diseases, implementing the SVR algorithm to predict the correlation scores, and undergoing a randomized perturbation and stepwise screening pipeline. Some potential therapeutic drugs were predicted by this approach. The potential therapeutic ability of these drugs has been well-validated in terms of the literature, function, drug target, and survival-essential genes. The method's feasibility was confirmed by comparing the predicted results with the classical method and conducting a co-drug analysis of the sub-branch. Our method challenges the conventional approach to studying disease-drug correlations and presents a fresh perspective for understanding the pathogenesis of diseases.
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Affiliation(s)
- Manyi Xu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150000, China; (M.X.); (W.L.); (J.H.); (Y.W.); (J.L.)
| | - Wan Li
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150000, China; (M.X.); (W.L.); (J.H.); (Y.W.); (J.L.)
| | - Jiaheng He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150000, China; (M.X.); (W.L.); (J.H.); (Y.W.); (J.L.)
| | - Yahui Wang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150000, China; (M.X.); (W.L.); (J.H.); (Y.W.); (J.L.)
| | - Junjie Lv
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150000, China; (M.X.); (W.L.); (J.H.); (Y.W.); (J.L.)
| | - Weiming He
- Institute of Opto-Electronics, Harbin Institute of Technology, Harbin 150000, China;
| | - Lina Chen
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150000, China; (M.X.); (W.L.); (J.H.); (Y.W.); (J.L.)
| | - Hui Zhi
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin 150000, China; (M.X.); (W.L.); (J.H.); (Y.W.); (J.L.)
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Suárez-Rico DO, Munguía-Huizar FJ, Cortés-Zárate R, Hernández-Hernández JM, González-Pozos S, Perez-Rangel A, Castillo-Romero A. Repurposing Terfenadine as a Novel Antigiardial Compound. Pharmaceuticals (Basel) 2023; 16:1332. [PMID: 37765140 PMCID: PMC10535608 DOI: 10.3390/ph16091332] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Revised: 09/16/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
Giardia lamblia is a highly infectious protozoan that causes giardiasis, a gastrointestinal disease with short-term and long-lasting symptoms. The currently available drugs for giardiasis treatment have limitations such as side effects and drug resistance, requiring the search for new antigiardial compounds. Drug repurposing has emerged as a promising strategy to expedite the drug development process. In this study, we evaluated the cytotoxic effect of terfenadine on Giardia lamblia trophozoites. Our results showed that terfenadine inhibited the growth and cell viability of Giardia trophozoites in a time-dose-dependent manner. In addition, using scanning electron microscopy, we identified morphological damage; interestingly, an increased number of protrusions on membranes and tubulin dysregulation with concomitant dysregulation of Giardia GiK were observed. Importantly, terfenadine showed low toxicity for Caco-2 cells, a human intestinal cell line. These findings highlight the potential of terfenadine as a repurposed drug for the treatment of giardiasis and warrant further investigation to elucidate its precise mechanism of action and evaluate its efficacy in future research.
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Affiliation(s)
- Daniel Osmar Suárez-Rico
- Departamento de Fisiología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Calle Sierra Mojada 950, Independencia Oriente, Guadalajara 44340, Mexico;
| | - Francisco Javier Munguía-Huizar
- Departamento de Microbiología y Patología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada 950, Col. Independencia, Guadalajara 44340, Mexico; (F.J.M.-H.); (R.C.-Z.)
| | - Rafael Cortés-Zárate
- Departamento de Microbiología y Patología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada 950, Col. Independencia, Guadalajara 44340, Mexico; (F.J.M.-H.); (R.C.-Z.)
| | - José Manuel Hernández-Hernández
- Departamento de Biología Celular, Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, Ciudad de Mexico 07360, Mexico; (J.M.H.-H.); (A.P.-R.)
| | - Sirenia González-Pozos
- Unidad de Microscopía Electrónica LaNSE, Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, Ciudad de Mexico 07360, Mexico;
| | - Armando Perez-Rangel
- Departamento de Biología Celular, Centro de Investigación y Estudios Avanzados del Instituto Politécnico Nacional, Av. Instituto Politécnico Nacional 2508, Col. San Pedro Zacatenco, Ciudad de Mexico 07360, Mexico; (J.M.H.-H.); (A.P.-R.)
| | - Araceli Castillo-Romero
- Departamento de Microbiología y Patología, Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Sierra Mojada 950, Col. Independencia, Guadalajara 44340, Mexico; (F.J.M.-H.); (R.C.-Z.)
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