scholarly journals A Tentative Classification of Antioxidants: Which Role They Play when Protecting Biological Targets from Oxidative Stress Induced Damage?

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Vieira AJSC ◽  
Santos PMP
Keyword(s):  
Oxidative Stress ◽  
Biological Targets

scholarly journals Classification of drug molecules for oxidative stress signalling pathway

2019 ◽  
Vol 13 (5) ◽  
pp. 243-250 ◽  
Author(s):  
Nikhil Verma ◽  
Harpreet Singh ◽  
Divya Khanna ◽  
Prashant Singh Rana ◽  
Sanjay Kumar Bhadada
Keyword(s):  
Oxidative Stress ◽  
Signalling Pathway ◽  
Drug Molecules ◽  
Stress Signalling

Mixed Infection of Tick-borne Haemo-parasites in Water Buffalo and Associated Pathological Responses and Treatment

2021 ◽  
Author(s):  
Pankaj Kumar ◽  
Prabhas Kumar ◽  
Rama Krishna Roy ◽  
Rashmi Rekha Kumari ◽  
Abhay Kumar ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Clinical Symptoms ◽  
Water Buffaloes ◽  
High Prevalence ◽  
Tick Borne Disease ◽  
Associated Risk Factors ◽  
Good Productivity ◽  
And Oxidative Stress ◽  
Production Losses

Background: Water buffaloes are important milch species of tropical and subtropical countries. In general, they are considered to more resistant to diseases compared to crossbred cattle. However, a recent problem of tick-borne diseases in the water buffaloes by the field veterinarians and farmers causing production losses was observed. The study was conducted to explore the spectrum of tick-borne diseases (TBDs) infections in buffaloes and analyze the associated risk factors. Methods: Acute-phase response, cytokine and oxidative stress in infected buffaloes with TBDs were evaluated and compared with the negative buffaloes (control) to elucidate their role in pathogenesis and outcome of infection. The study was undertaken in 107 tick-infested water buffaloes. The conventional Giemsa stained blood smear (GSBS) based confirmation and classification of infection of haemo-parasites were made. The statistical model was used to understand their relevance with TBDs. Conclusion: Tick-borne disease in water buffaloes must be looked upon seriously to maintain good productivity. The buffaloes are often accompanied by low and un-yielding clinical symptoms due to associated co-infections of haemo-parasites. Our study showed that the buffaloes had a high prevalence (47.66%) of haemo-parasites transmitted by the ticks associated with co-infections and a low level of parasitemia. Most buffaloes responded symptomatically with the different modalities administered. Production parameter was not restored post 15 days of treatment. Oxidative stress is one of the important mechanisms of production losses in infected buffaloes.

scholarly journals Oxidative Stress and Antioxidant Nanotherapeutic Approaches for Inflammatory Bowel Disease

Biomedicines ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 85
Author(s):  
Ping Liu ◽  
Yixuan Li ◽  
Ran Wang ◽  
Fazheng Ren ◽  
Xiaoyu Wang
Keyword(s):  
Oxidative Stress ◽  
Inflammatory Bowel Disease ◽  
Bowel Disease ◽  
Therapeutic Option ◽  
Oxidant Stress ◽  
Reactive Species ◽  
Future Perspectives ◽  
Inflammatory Bowel ◽  
Novel Strategy

Oxidative stress, caused by the accumulation of reactive species, is associated with the initiation and progress of inflammatory bowel disease (IBD). The investigation of antioxidants to target overexpressed reactive species and modulate oxidant stress pathways becomes an important therapeutic option. Nowadays, antioxidative nanotechnology has emerged as a novel strategy. The nanocarriers have shown many advantages in comparison with conventional antioxidants, owing to their on-site accumulation, stability of antioxidants, and most importantly, intrinsic multiple reactive species scavenging or catalyzing properties. This review concludes an up-to-date summary of IBD nanomedicines according to the classification of the delivered antioxidants. Moreover, the concerns and future perspectives in this study field are also discussed.

scholarly journals Impact of Comorbidity on Severity of Covid-19 Patients: A Network of Target Coding Genes Perspective

2020 ◽  
Author(s):  
Reetu Sharma
Keyword(s):  
Oxidative Stress ◽  
Reactive Oxygen Species ◽  
The Body ◽  
Oxygen Species ◽  
High Oxidative Stress ◽  
The Common ◽  
Relation Classification ◽  
Neuronal Systems ◽  
Insight Into

Abstract Millions of people have been forfeiting their lives due to SARS-CoV-2 infection. Most of them are patients suffering from comorbid complications. However, what makes these patients susceptible to mortality is unknown. For this, we employed a novel network-based approach to Covid-19 associated human target coding genes (TC-genes) overlapping with high relevant diseases to reveal the disease-disease relation. Classification of TC-genes in our study suggests that most of them participate in signal transduction, immune and neuronal systems. The network-based approach provides an insight into the mechanism involving the cascade of the TC-genes action that may drastically increase the reactive oxygen species (ROS). An increase in ROS triggers high oxidative stress and inflammation in the body through the cytokines storm. The cytokines storm set the burden on the comorbid patient by weakening the system that may lead to mortality. Our work highlights the TC-genes that may link Covid-19 to certain diseases. Collectively, the study indicates that selective TC-genes can carry out an overlapping role in seemingly distinct mechanisms. Besides, many mechanisms could independently affect selective targets. Oxidative stress and inflammation are the common processes present in severe Covid-19 patients. The approach demonstrates the potential to elucidate disease-disease relationship that can be applied to other diseases.

Automatic Classification of Biological Targets in a Tidal Channel Using a Multibeam Sonar

2020 ◽  
Vol 37 (8) ◽  
pp. 1437-1455 ◽  
Author(s):  
Emma Cotter ◽  
Brian Polagye
Keyword(s):  
Real Time ◽  
Automatic Classification ◽  
Machine Learning Algorithms ◽  
Training Data ◽  
Hill Climbing ◽  
Support Vector ◽  
Tidal Channel ◽  
Multibeam Sonar ◽  
Biological Targets

AbstractMultibeam sonars are widely used for environmental monitoring of fauna at marine renewable energy sites. However, they can rapidly accrue vast volumes of data, which poses a challenge for data processing. Here, using data from a deployment in a tidal channel with peak currents of 1–2 m s−1, we demonstrate the data-reduction benefits of real-time automatic classification of targets detected and tracked in multibeam sonar data. First, we evaluate classification capabilities for three machine learning algorithms: random forests, support vector machines, and k-nearest neighbors. For each algorithm, a hill-climbing search optimizes a set of hand-engineered attributes that describe tracked targets. The random forest algorithm is found to be most effective—in postprocessing, discriminating between biological and nonbiological targets with a recall rate of 0.97 and a precision of 0.60. In addition, 89% of biological targets are correctly classified as either seals, diving birds, fish schools, or small targets. Model dependence on the volume of training data is evaluated. Second, a real-time implementation of the model is shown to distinguish between biological targets and nonbiological targets with nearly the same performance as in postprocessing. From this, we make general recommendations for implementing real-time classification of biological targets in multibeam sonar data and the transferability of trained models.

scholarly journals Association of Inflammatory and Oxidative Stress Markers with Metabolic Syndrome in Asian Indians in India

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Veena S. Rao ◽  
Radhika K. Nagaraj ◽  
Sridhara Hebbagodi ◽  
Natesha B. Kadarinarasimhiah ◽  
Vijay V. Kakkar
Keyword(s):  
Oxidative Stress ◽  
Metabolic Syndrome ◽  
Oxidative Stress Markers ◽  
Stress Markers ◽  
Candidate Predictor ◽  
Asian Indian Population ◽  
Atherosclerosis Research ◽  
And Oxidative Stress ◽  
Primary Risk Factor

Metabolic syndrome (MetS) is a primary risk factor for cardiovascular disease and is associated with a proinflammatory state. Here, we assessed the contribution of inflammatory and oxidative stress markers towards prediction of MetS. A total of 2316 individuals were recruited in Phase I of the Indian Atherosclerosis Research Study (IARS). Modified ATPIII guidelines were used for classification of subjects with MetS. Among the inflammatory and oxidative stress markers studied, levels of hsCRP (P<.0001), Neopterin (P=.036), and oxLDL (P<.0001) were significantly higher among subjects with MetS. Among the markers we tested, oxLDL stood out as a robust predictor of MetS in the IARS population (OR 4.956 95% CI 2.504–9.810;P<.0001) followed by hsCRP (OR 1.324 95% CI 1.070–1.638;P=.010). In conclusion, oxLDL is a candidate predictor for MetS in the Asian Indian population.

scholarly journals MON-448 Inflammatory and Oxidative Stress Parameters as Criteria of Classification of Metabolic Phenotypes of Insulin Resistance

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Carmine Bruno ◽  
Edoardo Vergani ◽  
Alessandro Brunetti ◽  
Bianca Maria Ricerca ◽  
Andrea Silvestrini ◽  
...  
Keyword(s):  
Oxidative Stress ◽  
Insulin Resistance ◽  
Metabolic Phenotypes ◽  
Oxidative Stress Parameters ◽  
And Oxidative Stress ◽  
Stress Parameters

scholarly journals A Role for Non-Antimicrobial Actions of Tetracyclines in Combating Oxidative Stress in Periodontal and Metabolic Diseases: A Literature Review

2008 ◽  
Vol 2 (1) ◽  
pp. 5-12 ◽  
Author(s):  
M Soory
Keyword(s):  
Oxidative Stress ◽  
Metabolic Diseases ◽  
Periodontal Diseases ◽  
Mechanisms Of Action ◽  
Matrix Synthesis ◽  
Biological Targets ◽  
Chemically Modified ◽  
Chemically Modified Tetracyclines ◽  
Inflammatory Burden

This review addresses the role of adjunctive tetracycline therapy in the management of periodontal diseases and its efficacy in reducing inflammatory burden, oxidative stress and its sequelae in patients with coexisting features of metabolic syndrome. Removal of the dimethylamine group at C4 of the tetracycline molecule reduces its antibiotic properties, enhancing its non-antimicrobial actions; this strategy has aided the development of several chemically modified tetracyclines such as minocycline and doxycycline, by altering different regions of the molecule for focused action on biological targets. Tetracyclines are effective in reducing inflammation by inhibiting matrix metalloproteinases, preventing excessive angiogenesis, inhibiting apoptosis and stimulating bone formation. There are important applications for tetracyclines in the management of diabetic, dyslipidaemic periodontal patients who smoke. The diverse mechanisms of action of tetracyclines in overcoming oxidative stress and enhancing matrix synthesis are discussed in this review.

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