scholarly journals The Wide and Complex Field of NAFLD Biomarker Research: Trends

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Erika Wichro ◽  
Tanja Macheiner ◽  
Jasmin Schmid ◽  
Barbara Kavsek ◽  
Karine Sargsyan

Background. Nonalcoholic fatty liver disease is now acknowledged as a complex public health issue linked to sedentary lifestyle, obesity, and related disorders like type 2 diabetes and metabolic syndrome. Aims. We aimed to retrieve its trends out of the huge amount of published data. Therefore, we conducted an extensive literature search to identify possible biomarker and/or biomarker combinations by retrospectively assessing and evaluating common and novel biomarkers to predict progression and prognosis of obesity related liver diseases. Methodology. We analyzed finally 62 articles accounting for 157 cohorts and 45,288 subjects. Results. Despite the various approaches, most cohorts were considerably small and rarely comparable. Also, we found that the same standard parameters were measured rather than novel biomarkers. Diagnostics approaches appeared incomparable. Conclusions. Further collaborative investigations on harmonizing ways of data acquisition and identifying such biomarkers for clinical use are necessary to yield sufficient significant results of potential biomarkers.

2018 ◽  
Vol 06 (02) ◽  
pp. 063-064
Author(s):  
Rashmi Aggarwal

AbstractIn the 21st century it is the sedentary lifestyle that is responsible for causation of the dual epidemic of obesity and type 2 diabetes. Incorporating physical activity into our daily lives will not only improve our physical health but also enhance our mental and neurocognitive functions. Regular physical activity reduces the risks of developing metabolic derangements such as overweight, hypertension, different types of diabetes, metabolic syndrome, nonalcoholic fatty liver disease, osteoporosis, and certain types of organ-specific cancers.


2020 ◽  
Vol 11 (04) ◽  
pp. 245-252
Author(s):  
Dinesh Meher ◽  
Mrinal Gogoi ◽  
Pankaj Bharali ◽  
Prajna Anirvan ◽  
Shivaram Prasad Singh

AbstractArtificial intelligence (AI) is a computer system that is able to perform tasks which normally require human intelligence. The role of AI in the field of gastroenterology has been gradually evolving since its inception in the 1950s. Discovery of wireless capsule endoscopy (WCE) and balloon enteroscopy (BE) has revolutionized small gut imaging. While WCE is a relatively patient-friendly and noninvasive mode to examine the nonobstructed small gut, it is limited by a lengthy examination time and the need for expertise in reading images acquired by the capsule. Similarly, BE, despite having the advantage of therapeutic intervention, is costly, invasive, and requires general sedation. Incorporation of concepts like machine learning and deep learning has been used to handle large amounts of data and images in gastroenterology. Interestingly, in small gut imaging, the application of AI has been limited to WCE only. This review was planned to examine and summarize available published data on various AI-based approaches applied to small bowel disease. We conducted an extensive literature search using Google search engine, Google Scholar, and PubMed database for published literature in English on the application of different AI techniques in small bowel endoscopy, and have summarized the outcome and benefits of these applications of AI in small bowel endoscopy. Incorporation of AI in WCE has resulted in significant advancements in the detection of various lesions starting from dysplastic mucosa, inflammatory and nonmalignant lesions to the detection of bleeding with increasing accuracy and has shortened the lengthy review time in image analysis. As most of the studies to evaluate AI are retrospective, the presence of inherent selection bias cannot be excluded. Besides, the interpretability (black-box nature) of AI models remains a cause for concern. Finally, issues related to medical ethics and AI need to be judiciously addressed to enable its seamless use in future.


2019 ◽  
Vol 24 (36) ◽  
pp. 4312-4333 ◽  
Author(s):  
Eva M. Domínguez-Martín ◽  
Ana M. Díaz-Lanza ◽  
Célia M. C. Faustino

The exponential growth of cancer cases worldwide together with recent advances concerning the pathophysiological mechanisms of the disease at the molecular level led to a paradigm shift in chemotherapy, from monotherapy to targeted drug combination regimens. However, adverse effects and the emergence of multidrug resistance (MDR) limit the effectiveness of these therapies. In this context, hybrid combinations mixing anticancer drugs and bioactive phytochemical components from medicinal plants, or even plant extracts, that can act synergistically on multiple targets and signaling pathways represent a promising approach with the potential to expand the current therapeutic arsenal. This review aims to provide a synopsis on anticancer hybrid combinations based on their multi-target mechanisms and synergistic effects from an extensive literature search focusing mainly on publications from the last ten years. In most of these combinations, the phytochemical component was shown to enhance the anticancer activity of the chemotherapeutic agent and to sensitize chemoresistant tumors in several types of cancer. Hybrid combinations, due to synergistic interactions, are also associated with less severe adverse events since lower doses can be used to achieve the same therapeutic effect. Further preclinical and clinical studies are needed, as well as the development of an adequate regulatory framework, before hybrid combination therapy can be translated into clinical practice.


Coronaviruses ◽  
2020 ◽  
Vol 01 ◽  
Author(s):  
Vikram Rao ◽  
Subrat Kumar Bhattamisra

Background: COVID-19, a Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-Cov-2) was first diagnosed in the patients from Wuhan, China in December 2019. Within couple of months of infection, it was declared as pandemic by World health organization. COVID-19 has become the most contagious infection with a serious threat to global health. In this review, we aimed to discuss the pathogenesis, diagnostics, current treatments and potential vaccines for COVID-19. Methods: An extensive literature search was conducted using keywords “COVID-19”; “Coronavirus”; “SARS-Cov-2”; “SARS” in public domains of Google, Google scholar, PubMed, and ScienceDirect. Selected articles were used to construct this review. Results: SARS-Cov-2 uses the Spike (S) protein on its surface to recognize the receptor on angiotensin-converting enzyme 2 (ACE2) and bind with 10-folds greater affinity than SARS-Cov-1. Molecular assays and immunoassays are the most frequently used tests whereas computed tomography (CT) scans, Artificial intelligence enabled diagnostic tools were also used in patients. In therapeutic treatment, few drugs were repurposed and there are 23 therapeutic molecules including the repurposed drugs are in different stages of clinical trial. Similarly, development of vaccines is also in the pipeline. Few countries have managed well to contain the spread by rapid testing and identifying the clusters. Conclusion: Till now, the acute complications and mortality of COVID-19 has been linked to the pre-existing comorbid conditions or age. Besides the development of therapeutic strategies that includes drugs and vaccine, the long term implication of COVID-19 infection in terms of the disorder/disability in the cured/discharged patients is a new area to investigate.


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