Exploring the complex interplay of Blastocystis, morbid obesity, and bariatric surgery on gut microbial dynamics.

This study examines Blastocystis dynamics in 15 individuals undergoing sleeve gastrectomy. Molecular detection involved DNA extraction, RT-PCR, and sequencing, while 16S rRNA sequencing via Illumina MiSeq analyzed the intestinal microbiome. Statistical analysis through SPSS considered a significance level of p < 0.

The comprehensive evaluation of oral and fecal microbiota in patients with acromegaly.

Purpose: The alteration of the microbiota in the mouth and gut could potentially play a role in the pathogenesis of various diseases, and conversely, these diseases may have an influence on the composition of the gut microbiota. Acromegaly disease can potentially affect physiological processes in the mouth and gut. The present study was designed to investigate the relationship between acromegaly and the oral and gut microbiota, as data on this topic are scarce.

A robust deep learning model for the classification of dental implant brands.

Objective: In cases where the brands of implants are not known, treatment options can be significantly limited in potential complications arising from implant procedures. This research aims to explore the application of deep learning techniques for the classification of dental implant systems using panoramic radiographs. The primary objective is to assess the superiority of the proposed model in achieving accurate and efficient dental implant classification.

Artificial intelligence-based personalized diet: A pilot clinical study for irritable bowel syndrome.

We enrolled consecutive IBS-M patients (n = 25) according to Rome IV criteria. Fecal samples were obtained from all patients twice (pre-and post-intervention) and high-throughput 16S rRNA sequencing was performed. Six weeks of personalized nutrition diet (n = 14) for group 1 and a standard IBS diet (n = 11) for group 2 were followed.

Potential associations between alterations in gut microbiome and obesity-related traits after the bariatric surgery.

Background: This study aimed to examine the effects of both obesity and bariatric surgery on gut microbiome, dietary intake, as well as metabolic and inflammatory parameters.

Methods: All participants (15 with morbid obesity who had bariatric surgery, 8 with morbid obesity and 11 non-obese) were followed up for a 6-month period with interviews at baseline (M0), at the end of 3 (M3) and 6 months (M6). Dietary assessment was done, and blood and faecal samples were collected.

Acromegaly is associated with a distinct oral and gut microbiota.

Purpose: Our aim was to investigate the changes in the composition of oral and gut microbiota in patients with newly diagnosed acromegaly and their relationship with IGF-1 levels.

Methods: Oral and fecal samples were collected from patients with newly diagnosed acromegaly without comorbidities and from healthy controls. The composition of the microbiota was analyzed.

An efficient real-time colonic polyp detection with YOLO algorithms trained by using negative samples and large datasets.

Colorectal cancer (CRC) is one of the common types of cancer with a high mortality rate. Colonoscopy is the gold standard for CRC screening and significantly reduces CRC mortality. However, due to many factors, the rate of missed polyps, which are the precursors of colorectal cancer, is high in practice.

Discovering Potential Taxonomic Biomarkers of Type 2 Diabetes From Human Gut Microbiota Different Feature Selection Methods.

Human gut microbiota is a complex community of organisms including trillions of bacteria. While these microorganisms are considered as essential regulators of our immune system, some of them can cause several diseases. In recent years, next-generation sequencing technologies accelerated the discovery of human gut microbiota.

Temporal overexpression of IL-22 and Reg3γ differentially impacts the severity of experimental autoimmune encephalomyelitis.

IL-22 is an alpha-helical cytokine which belongs to the IL-10 family of cytokines. IL-22 is produced by RORγt+ innate and adaptive lymphocytes, including ILC3, γδ T, iNKT, Th17 and Th22 cells and some granulocytes. IL-22 receptor is expressed primarily by non-haematopoietic cells.

MicroRNA profiling identifies Forkhead box transcription factor M1 (FOXM1) regulated miR-186 and miR-200b alterations in triple negative breast cancer.

Breast cancer (BC) is the most commonly diagnosed malignancy. MicroRNAs (miRNAs) play important roles in the tumorigenesis, metastasis and progression of BC. Forkhead Box M1 (FOXM1) oncogenic transcription factor is involved in events considered as hallmarks of cancer.

Gut microbiota in patients with newly diagnosed acromegaly: a pilot cross-sectional study.

Purpose: Microbiota has crucial biological importance for human well-being. Bidirectional interaction exists between microbiota and the host, and there have been no studies investigating this interaction in patients with acromegaly. We aimed to analyze the composition of microbiota in patients with newly diagnosed acromegaly.

Information Theoretic Metagenome Assembly Allows the Discovery of Disease Biomarkers in Human Microbiome.

Quantitative metagenomics is an important field that has delivered successful microbiome biomarkers associated with host phenotypes. The current convention mainly depends on unsupervised assembly of metagenomic contigs with a possibility of leaving interesting genetic material unassembled. Additionally, biomarkers are commonly defined on the differential relative abundance of compositional or functional units.

Novel alterations of as a candidate gene in a Turkish sample of patients with autism spectrum disorder.

Background: Autism spectrum disorder (ASD) is a neurodevelopmental disorder with large genetic background, but identification of pathogenic variants has proceeded slowly because hundreds of loci are involved in this complex disorder. gene firstly associated with the intellectual disability (ID) in a family with a large deletion. We aimed to contribute to the literature by sequencing this gene and by this way we report novel variations in patients with ASD.

A comprehensive review of deep learning in colon cancer.

Deep learning has emerged as a leading machine learning tool in object detection and has attracted attention with its achievements in progressing medical image analysis. Convolutional Neural Networks (CNNs) are the most preferred method of deep learning algorithms for this purpose and they have an essential role in the detection and potential early diagnosis of colon cancer. In this article, we hope to bring a perspective to progress in this area by reviewing deep learning practices for colon cancer analysis.

Arthroscopic suture-tape internal bracing is safe as arthroscopic modified Broström repair in the treatment of chronic ankle instability.

Purpose: The aim of the study was to compare the intermediate-term clinical outcomes between lateral ligaments augmentation using suture-tape and modified Broström repair in a selected cohort of patients. The hypothesis of the presented study is that suture-tape augmentation technique has comparable clinical and radiological outcomes with arthroscopic Broström repair technique.

Methods: Sixty-one consecutive patients with chronic ankle instability were operated between 2012 and 2016 randomized to 2 groups.

FOXM1 plays a role in autophagy by transcriptionally regulating Beclin-1 and LC3 genes in human triple-negative breast cancer cells.

Triple-negative breast cancer (TNBC) is associated with poor prognosis owing to its aggressive and heterogeneous nature, and the lack of therapeutic targets. Although Forkhead Box M1 (FOXM1) is one of the most important oncogenes contributing to tumorigenesis, progression, and drug resistance in TNBC, the underlying molecular mechanisms are not well understood. Emerging evidence indicates that autophagy plays a critical role in cell survival and protective mechanism in TNBC.

MIMOSA: Algorithms for Microbial Profiling.

A significant goal of the study of metagenomes obtained from an environment is to find the microbial diversity and the abundance of each organism in the community. Phylotyping and binning methods which address this problem generally operate using either marker sequences or by classifying each genome fragment individually. However, these approaches might not use all the information contained in the metagenome.

Completion repair exhibits increased healing characteristics compared with in situ repair of partial thickness bursal rotator cuff tears.

Purpose: Little information is available regarding the healing capacity of in situ and completion repair for the treatment of partial thickness rotator cuff tears. The purpose of the study was to analyze the healing characteristics of both techniques.

Methods: Twenty-four adult Sprague-Dawley rats were operated.

Low pH irrigation fluids have positive effect on intra-articular chondral healing.

Purpose: The aim of this study was to evaluate the effect of Ringer's lactate (RL) solutions with different pH values on early histologic healing in a microfracture model in vivo. The null hypothesis of the presented study is that irrigation fluids with lower pH (6.4) have negative effects on fibrous cartilage healing.

Human genome-microbiome interaction: metagenomics frontiers for the aetiopathology of autoimmune diseases.

A short while ago, the human genome and microbiome were analysed simultaneously for the first time as a multi-omic approach. The analyses of heterogeneous population cohorts showed that microbiome components were associated with human genome variations. In-depth analysis of these results reveals that the majority of those relationships are between immune pathways and autoimmune disease-associated microbiome components.

Association of Enteric Protist Blastocystis spp. and Gut Microbiota with Hepatic Encephalopathy.

Background And Aims: Hepatic encephalopathy (HE) is a serious neuropsychiatric sequela emerging in the advanced stages of cirrhosis. The gut microbiota plays an important role in the development of HE. The aim of the study was to analyze the dynamic interplay between microbiota and Blastocystis in cirrhotic patients with or without encephalopathy.

Reclassification of Wolbachia persica as Francisella persica comb. nov. and emended description of the family Francisellaceae.

The taxonomic status of the bacterium Wolbachia persica is described, and based on the evidence presented, transfer of this species to the genus Francisella as Francisella persica comb. nov. is proposed.

Fracture-dislocations of the proximal ulna.

Objective: To investigate the relationship between injury patterns, complications, and the functional outcomes of patients with proximal-ulna fracture-dislocations.

Methods: Retrospective analysis of 15 patients (10 men, 5 women; mean age, 49.1 years; mean follow-up 49 months) with 6 anterior and 9 posterior fracture-dislocations of the proximal ulna.

Francisella tularensis Subtype A.II Genomic Plasticity in Comparison with Subtype A.I.

Although Francisella tularensis is considered a monomorphic intracellular pathogen, molecular genotyping and virulence studies have demonstrated important differences within the tularensis subspecies (type A). To evaluate genetic variation within type A strains, sequencing and assembly of a new subtype A.II genome was achieved for comparison to other completed F.

The effect of organic silicon injection on Achilles tendon healing in rats.

Objective: The aim of this study was to assess the efficacy of a soluble absorbable silicon compound on healing of the Achilles tendon.

Methods: The Achilles tendons of 21 Wistar albino rats were cut and repaired. A 0.