We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
RANDOX LABORATORIES

Download Mobile App




Events

ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Type 2 Diabetes Associated with Arrhythmic Daily Gut Microbe

By LabMedica International staff writers
Posted on 16 Jul 2020
Print article
Image: Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes (Photo courtesy of Technical University of Munich).
Image: Arrhythmic Gut Microbiome Signatures Predict Risk of Type 2 Diabetes (Photo courtesy of Technical University of Munich).
Type 2 diabetes (T2D), formerly known as adult-onset diabetes, is a form of diabetes that is characterized by high blood sugar, insulin resistance, and relative lack of insulin. Common symptoms include increased thirst, frequent urination, and unexplained weight loss.

Several studies found that obesity-related changes in the gut microbiota are associated with low grade inflammation, which supports a close link between the immune and metabolic systems throughout the gut microbiota. There are several mechanisms that relate microbiota to the onset of insulin resistance and diabetes, including changes in bowel permeability, endotoxemia, interaction with bile acids, changes in the proportion of brown adipose tissue.

A large team of scientists collaborating with the Technical University of Munich (Freising, Germany) used high-throughput 16S ribosomal RNA gene sequencing to profile gut microbial community composition in fecal samples from 1,976 individuals from Germany enrolled in the prospective KORA population study, detecting distinct levels of specific pathogens across the day in individuals with available time of defecation data.

By analyzing the diurnal gut microbiome dynamics, the team noted that individuals that had T2D or were obese appeared to lose gut oscillations that involved changes in microbiome levels of dozens of gut bacteria. The authors noted that while both obesity and T2D coincided with altered gut microbiome oscillations during the span of a day, there were differences in the operational taxa units involved, hinting that weight contributes to T2D risk stratification independent of disrupted circadian rhythms in the microbiome. Shotgun metagenomic analysis functionally linked 26 metabolic pathways to the diurnal oscillation of gut bacteria.

The team went on to verify the 24-hour gut microbe rhythms in nearly 1,400 more German participants sampled at multiple time points. They also used an unsupervised machine learning method to focus in on a set of 13 oscillating gut bacteria with circadian patterns that are upset in individuals with T2D. The bacterial signature showed promise for finding and predicting T2D cases in a subset of 699 participants from the KORA cohort, while additional metagenomic sequence data for a subset of 50 study participants with or without T2D or pre-diabetes, each tested twice five years apart, provided a window into some of the gut microbe genes and pathways that are altered when metabolic disease-related microbe oscillations are upended.

Dirk Haller, PhD, holds the Chair of Nutrition and Immunology and is the senior author of the study, said, “We demonstrated that loss of circadian rhythmicity affects microbiome features related to the onset and progression of T2D and identified bacterial signatures for metabolic risk profiling in human populations.”

The authors concluded that it may be important to take circadian gut microbe oscillations into account to better understand the underlying mechanisms of disease-associated microbiome alterations and to validate risk profiles in prospective cohorts. The study was published on July 2, 2020 in the journal Cell Host & Microbe.

Related Links:
Technical University of Munich

Gold Supplier
Chromogenic Medium
CHROMagar Candida Plus
New
Automated Immunoassay Analyzer
AFIAS-10
New
Digital Cytology Platform
Genius Digital Diagnostics
New
Silver Supplier
Bacteriuria Test Strips
MAST Bacteruritest Strips

Print article

Channels

Clinical Chem.

view channel
Image: Illustration is of the Vertical Auto Profile (VAP) Lipid test with clear demarcation of the different lipoprotein classes and subclasses. (Photo courtesy of VAP Diagnostics Laboratory)

Lipoprotein(a) Concentrations Correlate With LDL-C in Diabetic Children

Cardiovascular disease (CVD) is a significant cause of mortality in those with diabetes. Increased apolipoprotein B (apoB) and low-density lipoprotein cholesterol (LDL-C) have been shown in pediatric patients... Read more

Molecular Diagnostics

view channel
Image: Model of the PD-1 (Programmed cell death protein 1) protein. Only a subset of recurrent glioblastomas respond to anti-PD-1 immunotherapy (Photo courtesy of Wikimedia Commons)

Biomarker Predicts Potential Benefit of Checkpoint Inhibitor Therapy for Brain Cancer Patients

A phosphorylated form of ERK (extracellular signal-regulated kinase) protein has been identified as a biomarker that may be used to predict which brain cancer patients might benefit from checkpoint inhibitor... Read more

Hematology

view channel
Image: The UniCel DxH 800 Coulter Cellular Analysis System (Photo courtesy of Beckman Coulter)

Monocyte Distribution Width Predicts Sepsis in Critically Ill Patients

Sepsis has been reported as a major cause of increased morbidity, length of stay and mortality among patients hospitalized in Intensive Care Units (ICUs) for any cause. The survival of patients developing... Read more

Immunology

view channel
Image: Procartaplex Immunoassays Kits are based on the principles of a sandwich ELISA, using two highly specific antibodies binding to different epitopes of one protein to quantitate all protein targets simultaneously (Photo courtesy of Thermo Fisher Scientific)

Assay Developed for Patient-Specific Monitoring and Treatment for Ovarian Cancer

Tumors can influence peripheral immune macroenvironment, thereby creating opportunities for non-invasive serum/plasma immunobiomarkers for immunostratification and immunotherapy designing.... Read more

Pathology

view channel
Image: The Ventana BenchMark Ultra autostainer is for cancer diagnostics with automation and the test menu include IHC, ISH, and FITC tests (Photo courtesy of Ventana Medical System)

Specific Biomarker Investigated for Triple-Negative Breast Cancer Diagnosis

Triple-negative breast cancer (TNBC) is defined by the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression and comprises a heterogeneous... Read more

Technology

view channel
Image: PKeye Workflow Monitor System (Photo courtesy of PerkinElmer, Inc.)

PerkinElmer’s New Cloud-Based Platform Enables Laboratory Personnel to Remotely Manage Its Instruments in Real-Time

PerkinElmer, Inc. (Waltham, MA; USA) has launched its PKeye Workflow Monitor, a cloud-based platform enabling laboratory personnel to remotely manage and monitor their PerkinElmer instruments and workflows... Read more

Industry

view channel
Illustration

Global HBA1c Laboratory Tests Market Driven by Rise in Diabetic Population

The global HBA1c laboratory tests market is projected to expand at a significant pace over the coming years, driven by an increase in the prevalence of diabetes, rise in prescription rate of HBA1c tests... Read more
Copyright © 2000-2021 Globetech Media. All rights reserved.