An Updated Systematic Review on the Effects of Aerobic Exercise on Human Blood Lipid Profile.

Sedentary lifestyle and dyslipidemia are well-recognized risk factors for cardiovascular diseases (CVD). Changes in blood lipid profile (total cholesterol (TC), triglycerides, high-density lipoprotein [HDL], and low-density lipoprotein [LDL]) due to the exercise may be beneficial for decreasing CVD-related events. In this review we aimed to investigate the effect of different types of exercise on lipid profile components in people with different health conditions and age ranges. A systematic search was performed covering PubMed, Web of Science, and Google Scholar for English articles from 2010 until November 2021. Finally, 31 studies were included in our study. Results showed that exercise in younger individuals sometimes resulted in no significant changes of any of the variables or some of them; however, efficient improvement was observed in all studies of older and middle-age groups. In terms of health condition and gender; healthy individuals, overweight people, subjects with type 2 diabetes and obesity, and male participants found to have benefited more from the exercise. In patients with chronic kidney diseases lipid profile improvement was not significant. The cardiac rehabilitation program, particularly comprehensive cardiac rehabilitation, proved to be more beneficial than exercise alone in the case of cardiovascular patients and those at elevated risk of CVD. In conclusion exercise is beneficial in terms of improving lipid profile but for younger population, and those with kidney problems and CVD patients, more further preparations are needed under the supervision of experts in the field of sports and medicine to achieve the desired result. Also, more studies are needed for these groups in order to provide a definite and reliable conclusion.

Central obesity accelerates leukocyte telomere length (LTL) shortening in apparently healthy adults: A systematic review and meta-analysis.

Shorter telomere length is associated with numerous comorbidities; central obesity might trigger leukocyte telomere shortening; in the current meta-analysis we evaluated the association of central obesity with leukocyte telomere length among adults. A systematic search from Scopus, PubMed, Embase and Proquest electronic databases up to May 2021 was done. The final screening, provided five articles to be included in final meta-analysis. Those in the highest category of telomere length had 3.72 cm lower waist circumference (WC) compared with those in the lowest category (WMD=-3.718; CI=-7.180, -0.257 P = 0.035; I2 = 95.4%). Also, those in the highest LTL category had 0.02 lower waist to hip ratio (WHR) compared with those in the lowest category, although this association was not significant (WMD: -0.02; CI=-0.04, 0.01; P = 0.19; I2= 90.7%). In quality assessment of included studies, all of the studies had moderate or high quality score and there was no study with poor quality. Higher leukocyte telomere length was accompanied with lower WC among adults. This association was not significant for difference in WHR. Because of the high heterogeneity values and also because of the observational design of included studies, the inference of causality of these associations needs further investigations.Supplemental data for this article is available online at https://doi.org/10.1080/10408398.2021.1971155 .

Recent progress in cancer immunotherapy: Overview of current status and challenges.

Cancer treatment is presently one of the most important challenges in medical science. Surgery, chemotherapy, radiotherapy, or combining these methods is used to eliminate the tumor. Hormone therapy, bone marrow transplantation, stem cell therapy as well as immunotherapy are other well-known therapeutic modalities. Immunotherapy, as the most important complementary method, uses the immune system for treating cancer followed by surgery, chemotherapy, and radiotherapy. This method is systematically used to prevent malignancies development mainly via potentiating antitumor immune cells activation and conversely compromising their exhaustion with the lowest negative effects on healthy cells. Active immunotherapy can be employed for cancer immunotherapy by directly using the ingredients of the immune system and activating immune responses. On the other hand, inactive immunotherapy is utilized by indirect induction and using immune cell-based products consisting of monoclonal antibodies. It has strongly been proved that combination therapy with immunotherapies and other therapeutic means, such as anti-angiogenic agents, could be a rational plan to treat cancer. Herein, we have focused on recent findings concerning the therapeutic merits of cancer therapy using immune checkpoint inhibitors (ICIs), adoptive cell transfer (ACT) and cancer vaccine alone or in combination with other approaches. Also, we offer a glimpse into the current challenges in this context.

Emerging role of human microbiome in cancer development and response to therapy: special focus on intestinal microflora.

In recent years, there has been a greater emphasis on the impact of microbial populations inhabiting the gastrointestinal tract on human health and disease. According to the involvement of microbiota in modulating physiological processes (such as immune system development, vitamins synthesis, pathogen displacement, and nutrient uptake), any alteration in its composition and diversity (i.e., dysbiosis) has been linked to a variety of pathologies, including cancer. In this bidirectional relationship, colonization with various bacterial species is correlated with a reduced or elevated risk of certain cancers. Notably, the gut microflora could potentially play a direct or indirect role in tumor initiation and progression by inducing chronic inflammation and producing toxins and metabolites. Therefore, identifying the bacterial species involved and their mechanism of action could be beneficial in preventing the onset of tumors or controlling their advancement. Likewise, the microbial community affects anti-cancer approaches' therapeutic potential and adverse effects (such as immunotherapy and chemotherapy). Hence, their efficiency should be evaluated in the context of the microbiome, underlining the importance of personalized medicine. In this review, we summarized the evidence revealing the microbiota's involvement in cancer and its mechanism. We also delineated how microbiota could predict colon carcinoma development or response to current treatments to improve clinical outcomes.

An Analysis of New Feature Extraction Methods Based on Machine Learning Methods for Classification Radiological Images.

The lungs are COVID-19's most important focus, as it induces inflammatory changes in the lungs that can lead to respiratory insufficiency. Reducing the supply of oxygen to human cells negatively impacts humans, and multiorgan failure with a high mortality rate may, in certain circumstances, occur. Radiological pulmonary evaluation is a vital part of patient therapy for the critically ill patient with COVID-19. The evaluation of radiological imagery is a specialized activity that requires a radiologist. Artificial intelligence to display radiological images is one of the essential topics. Using a deep machine learning technique to identify morphological differences in the lungs of COVID-19-infected patients could yield promising results on digital images of chest X-rays. Minor differences in digital images that are not detectable or apparent to the human eye may be detected using computer vision algorithms. This paper uses machine learning methods to diagnose COVID-19 on chest X-rays, and the findings have been very promising. The dataset includes COVID-19-enhanced X-ray images for disease detection using chest X-ray images. The data were gathered from two publicly accessible datasets. The feature extractions are done using the gray level co-occurrence matrix methods. K-nearest neighbor, support vector machine, linear discrimination analysis, naïve Bayes, and convolutional neural network methods are used for the classification of patients. According to the findings, convolutional neural networks' efficiency linked to imaging modalities with fewer human involvements outperforms other traditional machine learning approaches.

Globally Vibrio cholera antibiotics resistance to RNA and DNA effective antibiotics: A systematic review and meta-analysis.

BACKGROUND: Vibrio cholera (V. cholera) is a facultative pathogen that colonizes the small intestine and produces cholerae toxin as the primary virulence factor that causes cholera and fatal diarrhea in humans. In recent decades, V. cholera has emerged as a notorious multidrug-resistant enteric pathogen. This meta-analysis estimated the pooled proportion of V. cholera antimicrobial resistance against RNA and DNA effective antibiotics. METHOD: A systematic search was performed for relevant literature until 05 June 2021 in PubMed, Scopus, Embase, and Web of Science databases. Freeman-Tukey double arcsine transformation was performed to estimate weighted pooled resistance (WPR). RESULTS: The meta-analysis were included 164 articles. The WPR of V. cholera were as follows 76% [67,84] to furazolidone, 65% [29,94] to nitrofurantoin, 55% [44,66] to nalidixic acid, 10% [2,23] to rifampicin, 4%(0, 12) to novobiocin, 4% [2,6] to norfloxacin, 3% [1,4] to ciprofloxacin, 1%(0, 3) to sparofloxacin, 0%(0, 3) to levofloxacin, 0%(0, 2) to ofloxacin, 0%(0, 0) to gatifloxacin. CONCLUSION: V. cholera is a severe problem in Asia and Africa, especially in South Asian countries. The resistance patterns are various in geographical regions. novobiocin 0% (0, 0), and ofloxacin 0% (0, 1) in Africa, gatifloxacin 0% (0, 0), and levofloxacin 0% (0, 6) in Asia and ciprofloxacin 0% (0, 2) in North America are most effective antibiotis. The resistance rate to furazolidone, nalidixic acid, nitrofurantoin, and cephalothin has increased over the years. Monitoring antibiotic resistance and prescribing an appropriate antibiotic is vital to control resistance.

Autophagy-related chemoradiotherapy sensitivity in non-small cell lung cancer (NSCLC).

Lung cancer is one of the leading causes of tumor-related mortalities worldwide. NSCLC is the most common type of lung cancer. In recent years, advancements in chemoradiotherapy and immunotherapy have led to unprecedented survival benefits in some patients. However, conventional therapies such as radiation and chemotherapy are not effective in all patients due to the chemo or radioresistance mechanisms; as a result, there is an urgent need for understanding the resistant mechanism. Given that malignancies are caused by changes in cell homeostasis, autophagy may help chemo/radiosensitization by removing damaged compartments and enhancing tumor clearance. Autophagy, on the other hand, may help cancer cells survive by increasing the breakdown of cell cycle regulators. Considering these inconsistencies, this study aimed to overview the intricacy of autophagy in response to chemoradiotherapy in lung cancer.

Cytotoxicity evaluation of environmentally friendly synthesis Copper/Zinc bimetallic nanoparticles on MCF-7 cancer cells.

Bimetallic nanoparticles offer unique chemical, physical and optical properties that are not available for monometallic nanoparticles. Bimetallic nanoparticles play a major role in various therapeutic, industrial and energy fields. Recently, nanoparticles of Copper/Zinc bimetallic nanoparticles have attracted attention in various fields, especially medicine. In this study, bimetallic CuO/ZnO nanostructures were biosynthesized using plant extracts. The plant-mediated synthesis nanoparticles were characterized by Transmission electron microscopy (TEM), X-ray diffraction analysis (XRD), Field Emission Scanning Electron Microscopy (FESEM) and Energy-Dispersive Spectroscopy (EDAX). The cytotoxicity of plant-mediated synthesis bimetallic nanoparticles and the synergistic effects of these nanoparticles in combination with the anticancer drug doxorubicin on MCF-7 cancer cells were evaluated by MTT assay.