Maintaining "gut health" is a goal for scientists throughout the world. Therefore, microbiota management models for testing probiotics, prebiotics, and synbiotics have been developed. The SHIME(®) model was used to study the effect of fructooligosaccharide (FOS) on the fermentation pattern of the colon microbiota. Initially, an inoculum prepared from human feces was introduced into the reactor vessels and stabilized over 2 weeks using a culture medium. This stabilization period was followed by a 2-week control period during which the microbiota was monitored. The microbiota was then subjected to a 4-week treatment period by adding 5 g/day-1 FOS to vessel one (the "stomach" compartment). Plate counts, Denaturing Gradient Gel Electrophoresis (DGGE), short-chain fatty acid (SCFA), and ammonium analyses were used to observe the influence of FOS treatment in simulated colon compartments. A significant increase (P<.01) in the Lactobacillus spp. and Bifidobacterium spp. populations was observed during the treatment period. The DGGE obtained showed the overall microbial community was changed in the ascending colon compartment of the SHIME reactor. FOS induced increase of the SCFA concentration (P<.05) during the treatment period, mainly due to significant increased levels of acetic and butyric acids. However, ammonium concentrations increased during the same period (P<.01). This study indicates the usefulness of in vitro methods that simulate the colon region as part of research towards the improvement of human health.
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http://dx.doi.org/10.1089/jmf.2013.0092 | DOI Listing |
Infect Dis Poverty
January 2025
Universidade Federal de São João del Rei (UFSJ), Campus Centro-Oeste Dona Lindu, Avenida Sebastião Gonçalves Coelho 400, Chanadour, Divinópolis, MG, Brazil.
Background: Human visceral leishmaniasis (VL) is a systemic disease with high case-fatality rates and a widespread distribution. Continuous evaluation of the risk factors for VL is essential to ensure the effective implementation of prevention and control measures. The present study reviews the factors associated with VL in the Americas.
View Article and Find Full Text PDFExp Hematol Oncol
January 2025
Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
Clonal hematopoiesis of indeterminate potential (CHIP) is a condition where blood or bone marrow cells carry mutations associated with hematological malignancies. Individuals with CHIP have an increased risk of developing hematological malignancies, atherosclerotic cardiovascular disease, and all-cause mortality. Bone marrow transplantation (BMT) of cells carrying CHIP mutations into irradiated mice are useful procedures to investigate the dynamics of clonal expansion and potential therapeutic strategies, but myeloablative conditioning can induce confounding effects.
View Article and Find Full Text PDFJ Ovarian Res
January 2025
Department of Medical Genetics, National Taiwan University Hospital, 19F, No. 8, Chung-Shan South Road, Taipei City, Taiwan.
Background: The homologous recombination deficiency (HRD) test is an important tool for identifying patients with epithelial ovarian cancer (EOC) benefit from the treatment with poly(adenosine diphosphate-ribose) polymerase inhibitor (PARPi). Using whole exome sequencing (WES)-based platform can provide information of gene mutations and HRD score; however, the clinical value of WES-based HRD test was less validated in EOC.
Methods: We enrolled 40 patients with EOC in the training cohort and 23 in the validation cohort.
J Neuroinflammation
January 2025
Stark Neurosciences Research Institute, Department of Neurology, Indiana University School of Medicine, Indianapolis, IN, 46202, USA.
Over recent years, the retina has been increasingly investigated as a potential biomarker for dementia. A number of studies have looked at the effect of Alzheimer's disease (AD) pathology on the retina and the associations of AD with visual deficits. However, while OCT-A has been explored as a biomarker of cerebral small vessel disease (cSVD), studies identifying the specific retinal changes and mechanisms associated with cSVD are lacking.
View Article and Find Full Text PDFBMC Chem
January 2025
Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, Vidya Vihar, Pilani, Rajasthan, 333 031, India.
A large set of antimalarial molecules (N ~ 15k) was employed from ChEMBL to build a robust random forest (RF) model for the prediction of antiplasmodial activity. Rather than depending on high throughput screening (HTS) data, molecules tested at multiple doses against blood stages of Plasmodium falciparum were used for model development. The open-access and code-free KNIME platform was used to develop a workflow to train the model on 80% of data (N ~ 12k).
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