We report a case of a 36-year-old male who presented to the emergency department with complaints of weakness. On presentation the patient was hypotensive, hyperkalemic, and hyponatremic. The patient experienced a sudden cardiac arrest in the computed tomography (CT) scanner moments after arrival. Electrocardiogram (EKG) demonstrated PR prolongation and widened QRS. Echocardiogram demonstrated a left ventricular ejection fraction of 26%-30% with evidence of severe hypokinesis of the mid antero-septal and inferior-septal segments of the left ventricle. CT of the chest, abdomen, and pelvis demonstrated hypoplastic/atrophic adrenal glands. Total cortisol level was undetectable by lab measurement. The patient was diagnosed with stress cardiomyopathy secondary to adrenal crisis. He was managed with hydrocortisone and eventually made a full clinical recovery and improvement in left ventricular ejection fraction. This article references the rarity of this phenomenon and its relevance to early clinical detection.Bacteriophages are broadly classified into two distinct lifestyles temperate and virulent. Temperate phages are capable of a latent phase of infection within a host cell (lysogenic cycle), whereas virulent phages directly replicate and lyse host cells upon infection (lytic cycle). Accurate lifestyle identification is critical for determining the role of individual phage species within ecosystems and their effect on host evolution. Here, we present BACPHLIP, a BACterioPHage LIfestyle Predictor. BACPHLIP detects the presence of a set of conserved protein domains within an input genome and uses this data to predict lifestyle via a Random Forest classifier that was trained on a dataset of 634 phage genomes. On an independent test set of 423 phages, BACPHLIP has an accuracy of 98% greatly exceeding that of the previously existing tools (79%). BACPHLIP is freely available on GitHub (https//github.com/adamhockenberry/bacphlip) and the code used to build and test the classifier is provided in a separate repository (https//github.com/adamhockenberry/bacphlip-model-dev) for users wishing to interrogate and re-train the underlying classification model.
  Type 2 diabetes mellitus (T2DM) and obesity are complex pandemic diseases in the 21st century. Worldwide, the T allele rs7903146 in the 
  gene is recognized as a strong GWAS signal associated with T2DM. However, the association between the C allele and obesity is still poorly explored and needs to be replicated in other populations. Thus, the primary objectives of this study were to evaluate the TCF7L2 rs7903146 association with T2DM according to BMI status and to determine if this variant is related to obesity and BMI variation in a cohort of elderly Brazilians.
 
  A total of 1,023 participants from an elderly census-based cohort called SABE (Saúde, Bem Estar e Envelhecimento-Health, Well-Being and Aging) were stratified by BMI status and type 2 diabetes presence. The 
  genotypes were filtered from the Online Archive of Brazilian Mutations (ABraOM-Online Archive of Brazilian Mutations) database, a web-based public database with sequencing data of samples of the SABE's participants. Logistic regression modeased the obesity risk factor after adjusting for possible confounding variables (OR 1.41; 95% CI [1.06-1.86]; 
  = 0.017). An increase of the TT genotype in the second tertile of ∆BMI values was observed in participants without type 2 diabetes (OR 5.13; 95% CI [1.40-18.93]; 
  = 0.009) in the recessive genetic model.
 
  We confirmed that the rs7903146 is both associated with T2DM and obesity. The 
  rs7903146 T allele increased T2DM risk in the normal weight group and interacted with sex, age and BMI, while the C allele increased obesity risk. The TT genotype was associated with a lesser extent of BMI variation over the SABE study's 10-year period.
 We confirmed that the rs7903146 is both associated with T2DM and obesity. The TCF7L2 rs7903146 T allele increased T2DM risk in the normal weight group and interacted with sex, age and BMI, while the C allele increased obesity risk.  https://www.selleckchem.com/products/srt2104-gsk2245840.html  The TT genotype was associated with a lesser extent of BMI variation over the SABE study's 10-year period.TQMD is a tool for high-performance computing clusters which downloads, stores and produces lists of dereplicated prokaryotic genomes. It has been developed to counter the ever-growing number of prokaryotic genomes and their uneven taxonomic distribution. It is based on word-based alignment-free methods (k-mers), an iterative single-linkage approach and a divide-and-conquer strategy to remain both efficient and scalable. We studied the performance of TQMD by verifying the influence of its parameters and heuristics on the clustering outcome. We further compared TQMD to two other dereplication tools (dRep and Assembly-Dereplicator). Our results showed that TQMD is primarily optimized to dereplicate at higher taxonomic levels (phylum/class), as opposed to the other dereplication tools, but also works at lower taxonomic levels (species/strain) like the other dereplication tools. TQMD is available from source and as a Singularity container at [https//bitbucket.org/phylogeno/tqmd ].Heat shock transcription factors (HSFs) are critical regulators of plant responses to various abiotic and biotic stresses, including high temperature stress. HSFs are involved in regulating the expression of heat shock proteins (HSPs) by binding with heat stress elements (HSEs) to defend against high-temperature stress. The H. perforatum genome was recently fully sequenced; this provides a valuable resource for genetic and functional analysis. In this study, 23 putative HpHSF genes were identified and divided into three groups (A, B, and C) based on phylogeny and structural features. Gene structure and conserved motif analyses were performed on HpHSFs members; the DNA-binding domain (DBD), hydrophobic heptad repeat (HR-A/B), and exon-intron boundaries exhibited specific phylogenetic relationships. In addition, the presence of various cis-acting elements in the promoter regions of HpHSFs underscored their regulatory function in abiotic stress responses. RT-qPCR analyses showed that most HpHSF genes were expressed in response to heat conditions, suggesting that HpHSFs play potential roles in the heat stress resistance pathway.