Topic Review
Probiotics in the Treatment of Rotavirus Gastrointestinal Infections
Enteric viruses, including the rotavirus, norovirus, and adenoviruses, are the most common cause of acute gastroenteritis. The rotavirus disease is especially prevalent among children, and studies over the past decade have revealed complex interactions between rotaviruses and the gut microbiota. One way to treat and prevent dysbiosis is the use of probiotics as an antiviral agent.
  • 1.2K
  • 20 Dec 2022
Topic Review
Molecular Detection of Colorectal Cancer
Drug-specific therapeutic approaches for colorectal cancer (CRC) have contributed to a significant improvement in the health status of patients. However, a great need to improve personalization of treatments based on genetic and epigenetic tumor profiles to maximize quality and efficacy while limiting cytotoxicity remains. Currently, CEA and CA 19-9 are the only validated blood biomarkers in clinical practice. For this reason, laboratories are trying to identify new specific prognostic and, more importantly, predictive biomarkers for CRC patient profiles. Thus, the unique landscape of personalized biomarker data should have a clinical impact on CRC treatment strategies and molecular genetic screening tests should become the standard method for CRC diagnosis, as well as detection of disease progression.
  • 1.2K
  • 30 Apr 2021
Topic Review
Helicobacter pylori Diagnosis
Helicobacter pylori infection still remains one of the most prevalent infections worldwide, especially in low-resource countries, and the major risk factor for peptic ulcer and gastric cancer. The "test-and-treat" strategy is recommended by several guidelines and consensus. The choice of testing method is based on patient age, presence of alarm signs and/or symptoms, use of non-steroidal anti-inflammatory drugs, as well as local availability, test reliability and cost.  Culture is the gold standard to detect H. pylori and, possibly, to perform susceptibility testing, however, it requires upper endoscopy and dedicate labs. Recent advances in molecular biology provide new strategies in detecting the infection and antimicrobial resistance without invasive tests. 
  • 1.2K
  • 31 May 2021
Topic Review
Diet-Derived Phytochemicals Modulate the Gut Microbiome
Diet-derived phytochemicals modulate microbiome that is found to offer significant protective effects against colorectal cancer (CRC). The person’s lifestyle and the eating pattern have significant impacts on the CRC in a positive and/or negative way. Phytochemicals are a concoction of various bioactive compounds directing various cell signaling pathways that altered gut microbiota composition. This may support to destroy malignant cells with minor risks of emerging drug resistance. The effectiveness of CRC can be reduced by the use of various dietary phytochemicals or modulating microbiome that reduces or inverses the progression of a tumor, which could be promising and efficient in reducing the burden of CRC. Phytochemicals with modulation of gut microbiome continue to be auspicious investigations in CRC through noticeable anti-tumorigenic effects, which provides new openings for cancer inhibition and treatment.
  • 1.1K
  • 29 Jun 2021
Topic Review
Mesenteric Fibrosis
Authors: Anna Koumarianou, Krystallenia I. Alexandraki, Göran Wallin, Gregory Kaltsas and Kosmas Daskalakis. Objective: Mesenteric fibrosis (MF) constitutes an underrecognized sequela in patients with small intestinal neuroendocrine neoplasms (SI-NENs), often complicating the disease clinical course. The aim of the present systematic review was to provide an update in evolving aspects of MF pathogenesis and its clinical management in SI-NENs. Search strategy: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology. Results: Complex and dynamic interactions are present in the microenvironment of tumor deposits in the mesentery. Serotonin, as well as the signaling pathways of certain growth factors play a pivotal, yet not fully elucidated role in the pathogenesis of MF. Clinically, MF often results in significant morbidity by causing either acute complications, such as intestinal obstruction and/or acute ischemia or more chronic conditions involving abdominal pain, venous stasis, malabsorption and malnutrition. Conclusions: Surgical resection in patients with locoregional disease only or symptomatic distant stage disease, as well as palliative minimally invasive interventions in advanced inoperable cases seem clinically meaningful, whereas currently available systemic and/or targeted treatments do not unequivocally affect the development of MF in SI-NENs. Increased awareness and improved understanding of the molecular pathogenesis of MF in SI-NENs may provide better diagnostic and predictive tools for its timely recognition and intervention and also facilitates the development of agents targeting MF.
  • 1.1K
  • 22 Jul 2020
Topic Review
Intersphincteric Resection for Low Rectal Cancers
Intersphincteric resection is an anus-preserving technique for low rectal cancers described by Schiessel et al. in 1994 as a combination of two techniques: the intersphincteric rectal excision for inflammatory bowel disease and the coloanal anastomosis for low rectal resections.
  • 1.1K
  • 08 Oct 2021
Topic Review
The Human Gut Microbiome in Autism Spectrum Disorder
Autism spectrum disorder (ASD) is a complicated neurodevelopmental disorder characterized by decreased verbal and social interactions, limited interests and activities, and repetitive behaviors. Along with these significant conditions, ASD regularly co-occurs with other clinical symptoms, including gastrointestinal disturbances (up to 70%), motor deficits (79%), sleep problems (50–80%), and intellectual disability (45%). The high prevalence of gastrointestinal (GI) disorders among autism spectrum disorder (ASD) patients has prompted scientists to look into the gut microbiota as a putative trigger in ASD pathogenesis.
  • 1.1K
  • 02 Mar 2022
Topic Review
Machine Learning in Gastroenterology/Endoscopy
Over time, machine learning (ML), a component of artificial intelligence (AI), has been implemented in a variety of medical specialties, such as radiology, pathology, gastroenterology, neurology, obstetrics and gynecology, ophthalmology, and orthopedics, with the goal of improving the quality of healthcare and medical diagnosis. In clinical gastroenterology practice, due to technological developments, estimates show that AI could have the ability to create a predictive model; for instance, it could develop an ML model that can stratify the risk in patients with upper gastrointestinal bleeding, establish the existence of a specific gastrointestinal disease, define the best treatment, and offer prognosis and prediction of the therapeutic response. In this context, by applying ML or deep learning (DL) (AI using neural networks), clinical management in gastroenterology can begin to focus on more personalized treatment centered on the patient and based on making the best individual decisions, instead of relying mostly on guidelines developed for a specific condition. Moreover, the goal of implementing these AI-based algorithms is to increase the possibility of diagnosing a gastrointestinal disease at early stage or the ability to predict the development of a particular condition in advance. Because both AI and gastroenterology encompass many subdomains, the interaction between them might take on various forms. In recent years, we have witnessed a large explosion of research in attempts to improve various fields of gastroenterology, such as endoscopy, hepatology, inflammatory bowel diseases, and many others, with the aid of ML. We also note that, because of the requirement to diagnose more patients with gastrointestinal cancers at an early stage of the disease, which is associated with curative treatment and better prognosis, many studies were developed to address improvement of the detection of these tumors with the aid of AI. The term ML, introduced for the first time in 1959 by Arthur Samuel from the IBM company, refers to an IT domain whereby a computer system can acquire the ability to “learn” by using data without specific programming and can therefore develop a predictive mathematical algorithm based on input data, using recognition of “features”. The ML “model” is subsequently able to adapt to new situations in which it becomes able to predict and make decisions.
  • 1.0K
  • 02 Feb 2021
Topic Review
Leaky Gut Syndrome
Leaky gut syndrome- is a medical condition characterized by increased intestinal permeability which may cause chronic inflammation and contributes to pathogenesis of wide range of diseases. According to the hypothesis of leaky gut syndrome, increased intestinal permeability enables antigens to cross intestinal barrier and absorb into the bloodstream consequently trigger the immune system and cause systemic reactions. Although LGS is very popular in alternative medicine circles, there is still little evidence to support hypothesis that it is a direct cause of any widespread problems.  
  • 982
  • 25 Nov 2020
Topic Review
Large Intestine and Its Microbiota
The large intestine (intestinum crassum) is the last part of the digestive tract ensuring the resorption of water, amino acids, bile acids, salts, vitamins and removes unabsorbed residues such as feces. This organ is 1.3–1.4 m long and 5–8 cm wide.
  • 976
  • 07 Feb 2021
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