Investigation of the plaque morphology effect on changes of pulsatile blood flow in a stenosed curved artery induced by an external magnetic field

Anti-ulcerative colitis effect of rotating magnetic field on DSS-induced mice by modulating colonic inflammatory deterioration

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.

Toward a Mesoscopic Modeling Approach of Magnetohydrodynamic Blood Flow in Pathological Vessels: A Comprehensive Review

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.

Electromagnetic field and cardiovascular diseases: A state-of-the-art review of diagnostic, therapeutic, and predictive values

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.

Identify essential genes based on clustering based synthetic minority oversampling technique

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.