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Yang H, Zhou C, Nie S, Xu S, Li M, Yu Q, Wei Y, Wang X. Anti-ulcerative colitis effect of rotating magnetic field on DSS-induced mice by modulating colonic inflammatory deterioration. Mol Immunol 2024; 172:23-37. [PMID: 38865801 DOI: 10.1016/j.molimm.2024.05.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 05/15/2024] [Accepted: 05/29/2024] [Indexed: 06/14/2024]
Abstract
Ulcerative colitis (UC) is a prevalent inflammatory disorder that emerges in the colon and rectum, exhibiting a rising global prevalence and seriously impacting the physical and mental health of patients. Significant challenges remain in UC treatment, highlighting the need for safe and effective long-term therapeutic approaches. Heralded as a promising physical treatment, the rotating magnetic field (RMF) demonstrates safety, stability, manageability, and efficiency. This study delves into RMF's potential in mitigating DSS-induced UC in mice, assessing disease activity indices (DAI) and pathological alterations such as daily body weight, fecal occult blood, colon length, and morphological changes. Besides, several indexes have been detected, including serum concentrations of pro-inflammatory cytokines (IL6, IL-17A, TNF-α, IFN-γ) and anti-inflammatory cytokines (TGF-β, IL-4, IL-10), the ratio of splenic CD3+, CD4+, and CD8+ T cells, the rate of apoptotic colonic cells, the expression of colonic inflammatory and tight junction-associated proteins. The results showed that RMF had beneficial effects on the decrease of intestinal permeability, the restoration of tight junctions, and the mitigation of mitochondrial respiratory complexes (MRCs) by attenuating inflammatory dysfunction in colons of DSS-induced UC model of mice. In conclusion, this study demonstrates that RMF attenuates colonic inflammation, enhances colonic tight junction, and alleviates MRCs impairment by regulating the equilibrium of pro-inflammatory and anti-inflammatory cytokines in UC mice, suggesting the potential application of RMF in the clinical treatment of UC.
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Affiliation(s)
- Hua Yang
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China; International Cancer Center, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China
| | - Cai Zhou
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Shenglan Nie
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Shuling Xu
- School of Pharmacy, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Mengqing Li
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Qinyao Yu
- School of Pharmacy, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China
| | - Yunpeng Wei
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.
| | - Xiaomei Wang
- Department of Physiology, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China; International Cancer Center, Shenzhen University Medical School, Shenzhen University, Shenzhen, Guangdong 518055, China; School of Pharmacy, School of Basic Medical Sciences, Shenzhen University Medical School, Shenzhen University, Shenzhen 518055, China.
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Cherkaoui I, Bettaibi S, Barkaoui A, Kuznik F. Toward a Mesoscopic Modeling Approach of Magnetohydrodynamic Blood Flow in Pathological Vessels: A Comprehensive Review. Ann Biomed Eng 2023; 51:2415-2440. [PMID: 37639179 DOI: 10.1007/s10439-023-03350-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 08/01/2023] [Indexed: 08/29/2023]
Abstract
The investigation of magnetohydrodynamic (MHD) blood flow within configurations that are pertinent to the human anatomy holds significant importance in the realm of scientific inquiry because of its practical implications within the medical field. This article presents an exhaustive appraisal of the diverse applications of magnetohydrodynamics and their computational modeling in biological contexts. These applications are classified into two categories: simple flow and pulsatile flow. An alternative approach of traditional CFD methods called Lattice Boltzmann Method (LBM), a mesoscopic method based on kinetic theory, is introduced to solve complex problems, such as hemodynamics. The results show that the flow velocity reduces considerably by increasing the magnetic field intensity, and the flow separation area is minimized by the increase of magnetic field strength. The LBM with BGK collision model has shown good results in terms of precision. Finally, this literature review has revealed a number of potential avenues for further research. Suggestions for future works are proposed accordingly.
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Affiliation(s)
- Ikram Cherkaoui
- Laboratoire des Energies Renouvelable et Matériaux Avancés, Université Internationale de Rabat (UIR), Rocade Rabat-Salé, 11100, Rabat, Morocco
| | - Soufiene Bettaibi
- Laboratoire des Energies Renouvelable et Matériaux Avancés, Université Internationale de Rabat (UIR), Rocade Rabat-Salé, 11100, Rabat, Morocco.
| | - Abdelwahed Barkaoui
- Laboratoire des Energies Renouvelable et Matériaux Avancés, Université Internationale de Rabat (UIR), Rocade Rabat-Salé, 11100, Rabat, Morocco
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Wang Y, Zhao ZG, Chai Z, Fang JC, Chen M. Electromagnetic field and cardiovascular diseases: A state-of-the-art review of diagnostic, therapeutic, and predictive values. FASEB J 2023; 37:e23142. [PMID: 37650634 DOI: 10.1096/fj.202300201rr] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2023] [Revised: 07/20/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023]
Abstract
Despite encouraging advances in early diagnosis and treatment, cardiovascular diseases (CVDs) remained a leading cause of morbidity and mortality worldwide. Increasing evidence has shown that the electromagnetic field (EMF) influences many biological processes, which has attracted much attention for its potential therapeutic and diagnostic modalities in multiple diseases, such as musculoskeletal disorders and neurodegenerative diseases. Nonionizing EMF has been studied as a therapeutic or diagnostic tool in CVDs. In this review, we summarize the current literature ranging from in vitro to clinical studies focusing on the therapeutic potential (external EMF) and diagnostic potential (internal EMF generated from the heart) of EMF in CVDs. First, we provided an overview of the therapeutic potential of EMF and associated mechanisms in the context of CVDs, including cardiac arrhythmia, myocardial ischemia, atherosclerosis, and hypertension. Furthermore, we investigated the diagnostic and predictive value of magnetocardiography in CVDs. Finally, we discussed the critical steps necessary to translate this promising approach into clinical practice.
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Affiliation(s)
- Yan Wang
- Laboratory of Heart Valve Disease, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhen-Gang Zhao
- Laboratory of Heart Valve Disease, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zheng Chai
- Laboratory of Heart Valve Disease, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Jian-Cheng Fang
- School of Instrumentation Science and Opto-Electronics Engineering, Beihang University, Beijing, China
| | - Mao Chen
- Laboratory of Heart Valve Disease, West China Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu, Sichuan, China
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Shi H, Wu C, Bai T, Chen J, Li Y, Wu H. Identify essential genes based on clustering based synthetic minority oversampling technique. Comput Biol Med 2023; 153:106523. [PMID: 36652869 DOI: 10.1016/j.compbiomed.2022.106523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 12/13/2022] [Accepted: 12/31/2022] [Indexed: 01/03/2023]
Abstract
Prediction of essential genes in a life organism is one of the central tasks in synthetic biology. Computational predictors are desired because experimental data is often unavailable. Recently, some sequence-based predictors have been constructed to identify essential genes. However, their predictive performance should be further improved. One key problem is how to effectively extract the sequence-based features, which are able to discriminate the essential genes. Another problem is the imbalanced training set. The amount of essential genes in human cell lines is lower than that of non-essential genes. Therefore, predictors trained with such imbalanced training set tend to identify an unseen sequence as a non-essential gene. Here, a new over-sampling strategy was proposed called Clustering based Synthetic Minority Oversampling Technique (CSMOTE) to overcome the imbalanced data issue. Combining CSMOTE with the Z curve, the global features, and Support Vector Machines, a new protocol called iEsGene-CSMOTE was proposed to identify essential genes. The rigorous jackknife cross validation results indicated that iEsGene-CSMOTE is better than the other competing methods. The proposed method outperformed λ-interval Z curve by 35.48% and 11.25% in terms of Sn and BACC, respectively.
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Affiliation(s)
- Hua Shi
- School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China.
| | - Chenjin Wu
- School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China.
| | - Tao Bai
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China; School of Mathematics & Computer Science, Yanan University, Shanxi, 716000, China.
| | - Jiahai Chen
- Xiamen Sankuai Online Technology Co., Ltd, Xiamen, China.
| | - Yan Li
- School of Opto-electronic and Communication Engineering, Xiamen University of Technology, Xiamen, China.
| | - Hao Wu
- School of Computer Science and Technology, Beijing Institute of Technology, Beijing, 100081, China.
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