Cross-Study Evaluation of the Relationship between the Human Gut Microbiome and Heart Disease

Heart disease is the number one cause of death globally, characterized by disorders of the arteries and blood flow. The human microbiome is a community of microorganisms that operate as a “hidden organ” to regulate healthy immune function and other beneficial effects. Recent studies have assessed the relationship between the gut microbiome and heart disease. Our work is a critical evaluation of these findings. The field of microbiome research is rapidly evolving and known biases exist. Reassessment using modern best practices and available databases can clarify the relationship between heart disease and the gut microbiome. This work may aid future translational work on the topic

Substructure in clusters containing wide-angle tailed radio galaxies. I. New redshifts

We present new redshifts and positions for 635 galaxies in nine rich clusters containing Wide-Angle Tailed (WAT) radio galaxies. Combined with existing data, we now have a sample of 18 WAT-containing clusters with more than 10 redshifts. This sample contains a substantial portion of the WAT clusters in the VLA 20 cm survey of Abell clusters, including 75% of WAT clusters in the complete survey (z0.09. It is a representative sample which should not contain biases other than selection by radio morphology. We graphically present the new data using histograms and sky maps. A semi-automated procedure is used to search for emission lines in the spectra in order to add and verify galaxy redshifts. We find that the average apparent fraction of emission line galaxies is about 9% in both the clusters and the field. We investigate the magnitude completeness of our redshift surveys with CCD data for a test case, Abell 690. This case indicates that our galaxy target lists are deeper than the detection limit of a typical MX exposure, and they are 82% complete down to R=19.0. The importance of the uniformity of the placement of fibers on targets is posited, and we evaluate this in our datasets. We find some cases of non-uniformities which may influence dynamical analyses. A second paper will use this database to look for correlations between the WAT radio morphology and the cluster's dynamical state.Comment: 15 pages, 5 figures, 7 tables. To appear in the Astronomical Journa

A Simple and Cost-efficient Technique to Generate Hyperpolarized Long-lived 15N-15N Nuclear Spin Order in a Diazine by Signal Amplification by Reversible Exchange

Signal Amplification by Reversible Exchange (SABRE) is an inexpensive and simple hyperpolarization technique and is capable of boosting Nuclear Magnetic Resonance (NMR) sensitivity by several orders of magnitude. It utilizes the reversible binding of para-hydrogen as hydride ligands and a substrate of interest to a metal catalyst to allow polarization transfer from para-hydrogen to the substrate nuclear spins. The nuclear spin lifetime of the created magnetization sets a strict upper limit on experimental timeframe. Short nuclear spin lifetimes are therefore a challenge for hyperpolarized metabolic imaging prospects. In this report we demonstrate how hyperpolarization and long nuclear spin lifetime can simultaneously be achieved in nitrogen-15 containing pyridazine and phthalazine derivatives by SABRE. These reflect two distinct classes of 15N2-coupled species with respect to their chemical symmetry and thus show different nuclear spin lifetime with the pyridazine derivative having a singlet state lifetime of ca. 2.5 minutes, produced with a signal enhancement of ca. 2,700. In contrast the phthalazine derivative yields a superior 15,000-fold enhancement at 11.7 T but has a much shorter singlet lifetime

The DDO IVC Distance Project: Survey Description and the Distance to G139.6+47.6

We present a detailed analysis of the distance determination for one intermediate Velocity Cloud (IVC G139.6+47.6) from the ongoing DDO IVC Distance Project. Stars along the line of sight to G139.6+47.6 are examined for the presence of sodium absorption attributable to the cloud, and the distance bracket is established by astrometric and spectroscopic parallax measurements of demonstrated foreground and background stars. We detail our strategy regarding target selection, observational setup, and analysis of the data, including a discussion of wavelength calibration and sky subtraction uncertainties. We find a distance estimate of 129 (+/- 10) pc for the lower limit and 257 (+211-33) pc for the upper limit. Given the high number of stars showing absorption due to this IVC, we also discuss the small-scale covering factor of the cloud and the likely significance of non-detections for subsequent observations of this and other similar IVC's. Distance measurements of the remaining targets in the DDO IVC project will be detailed in a companion paper.Comment: 10 pages, 6 figures, LaTe

Uncovering interactions between oral hormone contraceptives and human gut microbiota

The effect of pharmaceuticals, including hormone-based contraceptives, on gut microbiota is both unclear and understudied. Our goal is to evaluate the bidirectional interactions between these drugs and gut microbiota. Specifically, we hypothesize that hormones influence the structure and function of gut microbial communities. Secondly, we predict that microbial community members can metabolize the contraceptive hormones administered in the most common prescriptions. In this study, we use an in vitro culture system exposing gut microbiota to the most common hormones used in hormonal contraceptives. This in-process project will provide information to the research community on the role of gut microbial communities in women relying on orally delivered hormones for contraceptive or health purposes

Early Timeline of Lean Tissue Mass and Strength Improvements in Trained Men Following a High Volume/Frequency Resistance Training Program

International Journal of Exercise Science 12(4): 1094-1109, 2019. The purpose of this study was to determine the early timeline effect of a systemic high volume/frequency resistance training intervention on lean tissue mass and strength in trained men. Twenty-two healthy resistance trained men, age (32.29 ± 9.75 years), training age (9.40 ± 6.18 years) were placed on a 4-week resistance training (RT) intervention with lean mass and strength assessed pre, mid, and post intervention. RT consisted of 6 exercises: flat smith chest press, pull ups, triceps pushdowns, dumbbell bicep curls, leg press or walking lunges, and standing calf raises, completing 5 sets of 6-12 repetitions, 6 days per week. One-way repeated measure ANOVA’s were conducted to determine the impact of time on lean mass, leg press 1-RM, chest press 1-RM, and absolute/relative resistance training volume. Lean mass increased pre to mid 1.27 ± 1.18 kg, (2.03%), mid to post 1.14 ± 1.16 kg, (1.78%), and pre to post 2.41 ± 1.29 kg, (3.84%). Leg press 1-RM increased pre to mid 16.08 ± 34.90 kg, (6.09%), mid to post 27.53 ± 27.69 kg, (9.82%), and pre to post 43.61 ± 40.13 kg, (16.42%). Chest press 1-RM increased pre to mid 5.77 ± 5.51 kg, (4.45%), mid to post 6.70 ± 5.83 kg, (4.94%), and pre to post 12.47 kg ± 5.83 kg, (9.62%). High volume/frequency resistance training results in significant early improvements in lean mass and strength in trained men

Discrete Mutations in Colorectal Cancer Correlate with Defined Microbial Communities in the Tumor Microenvironment

Variation in the gut microbiome has been linked to colorectal cancer (CRC), as well as to host genetics. However, we do not know whether genetic mutations in CRC tumors interact with the structure and composition of the microbial communities surrounding the tumors, and if so, whether changes in the microbiome can be used as a predictor for tumor mutational status. Here, we characterized the association between CRC tumor mutational landscape and its proximal microbial communities by performing whole exome sequencing and microbiome profiling in tumors and normal colorectal tissue samples from the same patient. We find a significant association between loss of function mutations in relevant tumor genes and pathways and shifts in the abundances of specific sets of bacterial taxa. In addition, by constructing a risk index classifier from these sets of microbes, we accurately predict the existence of loss of function mutations in cancer related genes and pathways, including MAPK and Wnt signaling, solely based on the composition of the microbiota. These results can serve as a starting point for understanding the interactions between host genetic alterations and proximal microbial communities in CRC, as well as for the development of individualized microbiota targeted therapies