• Chu Carstens posted an update 6 months, 4 weeks ago

    y.

    In overactive bladder (OAB) research, different biomarkers have been proposed as diagnostic tools and may be used to create individual patient profiles. Assessing the diagnostic performance of biomarkers would better outline their utility. Therefore, our aim was to investigate the diagnostic value of four urinary biomarkers human brain derived neurotrophic factor (hBDNF), malondialdehyde (MDA), h nerve growth factor (hNGF) and h 8-hydroxydeoxyguanosine in women with OAB. These are neurotrophins/oxidative stress markers that have been linked to lower urinary tract symptoms.

    A total of 105 women were included in the study and distributed in two groups a group with OAB (n = 53) and a control group (n = 50). The levels of the biomarkers were determined using enzyme-linked immunosorbent assay technique and they were compared between the groups. If the Mann-Whitney test demonstrated a statistically significant difference, receiver operating curves (ROC) analysis was undertaken.

    When normalized to urinary creatinine, hBDNF, MDA, and hNGF showed significantly increased values in women with OAB as compared to controls, whereas 8-OHdG showed no significant difference. The diagnostic performance of these biomarkers was analyzed based on the area under the ROC curve (AUC). MDA had the highest AUC (0.75), followed by hNGF (0.69) and hBDNF (0.67).

    Our findings suggest that MDA, a relatively novel biomarker in OAB research, has a fair performance as a diagnostic tool for OAB. Moreover, urinary neurotrophins (NGF and BDNF) as biomarkers may have a role in the diagnostic pathways of women with OAB symptoms.

    Our findings suggest that MDA, a relatively novel biomarker in OAB research, has a fair performance as a diagnostic tool for OAB. Moreover, urinary neurotrophins (NGF and BDNF) as biomarkers may have a role in the diagnostic pathways of women with OAB symptoms.

    Interventions using prebiotic inulin-type fructans (ITFs) are widely prescribed to modulate the gut microbiota composition and activity to promote health. However, the impacts of ITFs on post-antibiotic reconstitution of the gut microbiome remain incompletely understood. The aim of the present study was to investigate the effects of ITFs supplementation on intestinal inflammation, the composition of the intestinal microbiota and the colonic transcriptome after antibiotic treatment.

    Male BALB/c mice were subjected to an antibiotic cocktail (ABx) treatment for 7days, and their microbiomes were then reconstituted either spontaneously or with ITFs supplementation (5%) for 14days. Our data showed that ITFs supplementation delayed the recovery of antibiotic-induced colitis compared with the spontaneous recovery. Neither ITFs supplementation nor spontaneous recovery could restore the microbial community composition at the genus level back to its initial composition. ITFs supplementation increased the relative abundance of some beneficial bacteria and butyrate levels, but resulted in selective blooms of some opportunistic pathogens and elevated the pathways associated with diseases linked to gut microbiota function. Both ITFs supplementation and spontaneous recovery could restore the colonic transcriptome nearly to the initial profile to a certain extent; however, ITFs supplementation delayed the restoration of the immunoglobulin genes compared to spontaneous recovery.

    These data showed that post-antibiotic ITFs consumption did not always lead to beneficial effects but might lead to potential adverse effects in the context of dysbiosis.

    These findings highlighted that caution is required when supplementing ITFs to restore intestinal homeostasis in the context of dysbiosis resulting from broad-spectrum antibiotics.

    These findings highlighted that caution is required when supplementing ITFs to restore intestinal homeostasis in the context of dysbiosis resulting from broad-spectrum antibiotics.It is unclear whether 12-lead ECG employing standard criteria for left ventricular hypertrophy (LVH) provides similar information with respect to long-term cardiovascular risk as echocardiography. The authors performed a retrospective cohort study of 1376 individuals without cardiovascular disease, who underwent ECG (LVH defined using the Sokolow-Lyon voltage combination (>35 mm) or the Cornell voltage-duration product (>2440 mm × ms)) and echocardiography (LVH defined as LV mass index (LVMI) >95 g/m2 for women and >115 g/m2 for men). The prognostic ability of LVH was assessed in Cox regression models adjusted for age, sex, smoking, systolic blood pressure, total cholesterol, antihypertensive medication, and fasting glucose. The primary end point was the composite of coronary events, heart failure, stroke, or death. The main secondary end point was heart failure or cardiovascular death. Median age was 67 (range 56-79) years, 68% were male. Eleven percent had ECG-defined LVH, 17% had echocardiographic LVH. Over median 8.5 years, 29% experienced a primary event. Event rates were 29%/35% for persons without/with ECG-defined LVH and 27%/39% for those without/with echocardiographic LVH. The Sokolow-Lyon combination, Cornell product, and ECG-defined LVH did not significantly predict the primary end point (P ≥ .05), but ECG-defined LVH predicted heart failure or cardiovascular death (adjusted hazard ratio (HR), 1.86, 95% confidence interval (CI), 1.13-3.08); P = .02). Conversely, LVMI was a significant, independent predictor of the primary end point (adjusted HR, 1.87, 95% CI, 1.13-3.10; P = .01), as was echocardiographic LVH (adjusted HR, 1.27, 95% CI, 1.01-1.61; P = .04). Echocardiographic LVH may be a better predictor of long-term cardiovascular risk than ECG-defined LVH in middle-aged and older individuals.

    This study was designed to investigate Artificial Intelligence in Dental Radiology (AIDR) videos on YouTube in terms of popularity, content, reliability, and educational quality.

    Two researchers systematically searched about AIDR on YouTube on January 27, 2020, by using the terms “artificial intelligence in dental radiology,” “machine learning in dental radiology,” and “deep learning in dental radiology.” The search was performed in English, and 60 videos for each keyword were assessed. BTK inhibitor Video source, content type, time since upload, duration, and number of views, likes, and dislikes were recorded. Video popularity was reported using Video Power Index (VPI). The accuracy and reliability of the source of information were measured using the adapted DISCERN score. The quality of the videos was measured using JAMAS and modified Global Quality Score (mGQS) and content via Total Concent Evaluation (TCE).

    There was high interobserver agreement for DISCERN (intraclass correlation coefficient 0.975; 95% confidence interval 0.

All content contained on CatsWannaBeCats.Com, unless otherwise acknowledged,is the property of CatsWannaBeCats.Com and subject to copyright.

CONTACT US

We're not around right now. But you can send us an email and we'll get back to you, asap.

Sending

Log in with your credentials

or    

Forgot your details?

Create Account