A high calcium diet containing nonfat dry milk reduces weight gain and associated adipose tissue inflammation in diet-induced obese mice when compared to high calcium alone

<p>Abstract</p> <p>Background</p> <p>High dietary calcium (Ca) is reported to have anti-obesity and anti-inflammatory properties. Evidence for these properties of dietary Ca in animal models of polygenic obesity have been confounded by the inclusion of dairy food components in experimental diets; thus, effect of Ca <it>per se </it>could not be deciphered. Furthermore, potential anti-inflammatory actions of Ca <it>in vivo </it>could not be dissociated from reduced adiposity.</p> <p>Methods</p> <p>We characterized adiposity along with metabolic and inflammatory phenotypes in diet-induced obese (DIO) mice fed 1 of 3 high fat diets (45% energy) for 12 wk: control (<it>n </it>= 29), high-Ca (<it>n </it>= 30), or high-Ca + nonfat dry milk (NFDM) (<it>n </it>= 30).</p> <p>Results</p> <p>Mice fed high-Ca + NFDM had reduced body weight and adiposity compared to high-Ca mice (<it>P </it>< 0.001). Surprisingly, the high-Ca mice had increased adiposity compared to lower-Ca controls (<it>P </it>< 0.001). Hyperphagia and increased feed efficiency contributed to obesity development in high-Ca mice, in contrast to NFDM mice that displayed significantly reduced weight gain despite higher energy intake compared to controls (P < 0.001). mRNA markers of macrophages (e.g., CD68, CD11d) strongly correlated with body weight in all diet treatment groups, and most treatment differences in WAT inflammatory factor mRNA abundances were lost when controlling for body weight gain as a covariate.</p> <p>Conclusions</p> <p>The results indicate that high dietary Ca is not sufficient to dampen obesity-related phenotypes in DIO mice, and in fact exacerbates weight gain and hyperphagia. The data further suggest that putative anti-obesity properties of dairy emanate from food components beyond Ca.</p

Deep learning methods for screening patients' S-ICD implantation eligibility

Subcutaneous Implantable Cardioverter-Defibrillators (S-ICDs) are used for prevention of sudden cardiac death triggered by ventricular arrhythmias. T Wave Over Sensing (TWOS) is an inherent risk with S-ICDs which can lead to inappropriate shocks. A major predictor of TWOS is a high T:R ratio (the ratio between the amplitudes of the T and R waves). Currently patients' Electrocardiograms (ECGs) are screened over 10 seconds to measure the T:R ratio, determining the patients' eligibility for S-ICD implantation. Due to temporal variations in the T:R ratio, 10 seconds is not long enough to reliably determine the normal values of a patient's T:R ratio. In this paper, we develop a convolutional neural network (CNN) based model utilising phase space reconstruction matrices to predict T:R ratios from 10-second ECG segments without explicitly locating the R or T waves, thus avoiding the issue of TWOS. This tool can be used to automatically screen patients over a much longer period and provide an in-depth description of the behaviour of the T:R ratio over that period. The tool can also enable much more reliable and descriptive screenings to better assess patients' eligibility for S-ICD implantation

Microsatellites versus single-nucleotide polymorphisms in linkage analysis for quantitative and qualitative measures

BACKGROUND: Genetic maps based on single-nucleotide polymorphisms (SNP) are increasingly being used as an alternative to microsatellite maps. This study compares linkage results for both types of maps for a neurophysiology phenotype and for an alcohol dependence phenotype. Our analysis used two SNP maps on the Illumina and Affymetrix platforms. We also considered the effect of high linkage disequilibrium (LD) in regions near the linkage peaks by analysing a "sparse" SNP map obtained by dropping some markers in high LD with other markers in those regions. RESULTS: The neurophysiology phenotype at the main linkage peak near 130 MB gave LOD scores of 2.76, 2.53, 3.22, and 2.68 for the microsatellite, Affymetrix, Illumina, and Illumina-sparse maps, respectively. The alcohol dependence phenotype at the main linkage peak near 101 MB gave LOD scores of 3.09, 3.69, 4.08, and 4.11 for the microsatellite, Affymetrix, Illumina, and Illumina-sparse maps, respectively. CONCLUSION: The linkage results were stronger overall for SNPs than for microsatellites for both phenotypes. However, LOD scores may be artificially elevated in regions of high LD. Our analysis indicates that appropriately thinning a SNP map in regions of high LD should give more accurate LOD scores. These results suggest that SNPs can be an efficient substitute for microsatellites for linkage analysis of both quantitative and qualitative phenotypes

Stimulating Interest in Medicine Assisted Manipulation (MAM)/Manipulation Under Anesthesia (MUA) as a Complementary Treatment Modality for Chronic Pain and Opioid Use

The objective of this clinical review is to stimulate interest in medicine assisted manipulation (MAM), also known as manipulation under anesthesia (MUA). By providing evidence from published studies regarding the use of MUA, as well as identifying its benefits and limitations, our group hopes to increase awareness of this technique and contribute to its implementation to assist in overall pain reduction and reduce opioid medication dosing. A retrospective literature review was undertaken to investigate the extent of published information on the topic in order to compile evidence based data and provide the reader with a summary of both the benefits and the flaws of the technique. We intend for this manuscript to serve as a starting point to stimulate readers’ interest into further research and discussion on MUA. We see MUA as a means of providing patients with additional treatment options as well as an opportunity to raise awareness of an uncommon, yet effective, manipulative technique

Multipoint identity-by-descent computations for single-point polymorphism and microsatellite maps

We used the LOKI software to generate multipoint identity-by-descent matrices for a microsatellite map (with 31 markers) and two single-nucleotide polymorphism (SNP) maps to examine information content across chromosome 7 in the Collaborative Study on the Genetics of Alcoholism dataset. Despite the lower information provided by a single SNP, SNP maps overall had higher and more uniform information content across the chromosome. The Affymetrix map (578 SNPs) and the Illumina map (271 SNPs) provided almost identical information. However, increased information has a computational cost: SNP maps require 100 times as many iterations as microsatellites to produce stable estimates

Correlation analysis of deep learning methods in S-ICD screening

© 2023 The Authors. Annals of Noninvasive Electrocardiology published by Wiley Periodicals LLC.Peer reviewedPublisher PD

A long-term study of the effects of antiviral therapy on survival of patients with HBV-associated hepatocellular carcinoma (HCC) following local tumor ablation.

The ultimate goal of antiviral therapy for chronic hepatitis B (CHB) is prevention of hepatocellular carcinoma (HCC). Earlier we reported favorable effects of antiviral therapy on survival of HCC patients following curative tumor ablation (Int J Cancer online 14 April 2010; doi: 10.1002/ijc.25382). It was the first observation made in the United States. We now report 12 year follow-up of this patient group. CHB patients with no prior antiviral therapy with a single HCC (≤ 7 cm) were studied. All patients underwent local tumor ablation as their first option. Patients diagnosed before 1999 received no antiviral treatment while those diagnosed after 1999 received antiviral treatment. Survival between the treated and untreated groups was compared. Among 555 HCC patients seen at our clinic between 1991 and 2013, 25 subjects were eligible. Nine subjects (all male patients, median age 53 years [46-66]) did not receive antiviral therapy while 16 (14 male patients, median age 56 years [20-73]) received treatment. Between the two groups, there was no difference in their median tumor size and levels of alpha-fetoprotein and albumin. However, the survival was significantly different (P = 0.001): the median survival of the untreated was 16 months (3-36 months) while that of the treated was 80 months (15-152 months). Fourteen of 16 treated patients are alive to date with two longest survivors alive for ≥ 151 months. In conclusion, concomitant antiviral therapy for CHB patients with HCC reduces and prevents new/recurrent tumor and improves survival. This novel treatment strategy offers an alternative to liver transplantation in patients with HBV-associated HCC

Dimensions and Global Twist of Single-Layer DNA Origami Measured by Small-Angle X-ray Scattering

The rational design of complementary DNA sequences can be used to create nanostructures that self-assemble with nanometer precision. DNA nanostructures have been imaged by atomic force microscopy and electron microscopy. Small-angle X-ray scattering (SAXS) provides complementary structural information on the ensemble-averaged state of DNA nanostructures in solution. Here we demonstrate that SAXS can distinguish between different single-layer DNA origami tiles that look identical when immobilized on a mica surface and imaged with atomic force microscopy. We use SAXS to quantify the magnitude of global twist of DNA origami tiles with different crossover periodicities: these measurements highlight the extreme structural sensitivity of single-layer origami to the location of strand crossovers. We also use SAXS to quantify the distance between pairs of gold nanoparticles tethered to specific locations on a DNA origami tile and use this method to measure the overall dimensions and geometry of the DNA nanostructure in solution. Finally, we use indirect Fourier methods, which have long been used for the interpretation of SAXS data from biomolecules, to measure the distance between DNA helix pairs in a DNA origami nanotube. Together, these results provide important methodological advances in the use of SAXS to analyze DNA nanostructures in solution and insights into the structures of single-layer DNA origami