7 research outputs found
Hha Is a Negative Modulator of Transcription of <i>hilA</i> , the <i>Salmonella enterica</i> Serovar Typhimurium Invasion Gene Transcriptional Activator
No full textABSTRACT
An early step in the establishment of
Salmonella enterica
serovar Typhimurium murine infection is the penetration of the intestinal mucosa of the small intestine. The majority of the genes responsible for the
Salmonella
invasive phenotype are encoded on
Salmonella
pathogenicity island 1, and their transcription is controlled by the
hilA
transcriptional activator. The expression of
hilA
is regulated by environmental signals including oxygen, osmolarity, pH, and growth phase such that the presence of any one suboptimal condition results in repression of
hilA
expression and the invasive phenotype. We have conducted a search for negative regulators of
hilA
by introduction of a
Salmonella enterica
serovar Typhimurium chromosomal DNA gene bank into a
Salmonella enterica
serovar Typhimurium
hilA
::Tn
5lacZY
reporter strain. This screen has identified the
hha
gene as a regulator that exerts a negative influence on
hilA
expression. Plasmid-encoded
hha
significantly reduces
hilA
::Tn
5lacZY
chromosomal expression, as well as expression of the invasion genes
invF
,
prgH
, and
sipC
. An
hha
null mutation results in substantial derepression of both chromosomally encoded and plasmid-encoded
hilA
::Tn
5lacZY
expression. Introduction of plasmid-encoded
hha
into strain SL1344 results in attenuation of invasion using in vitro and in vivo assays. Importantly, purified Hha protein was found to bind to a
hilA
DNA promoter fragment, suggesting that the regulatory activity of the Hha protein occurs at the
hilA
promoter. These data add detail to the developing model of the regulation of
Salmonella
invasion genes.
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Analysis of BRCA1, BRCA2 and PALB2 related Fanconi anemia identifies scope to expand disease phenotypic features and predict breast cancer risk in heterozygotes
No full textRecessive Fanconi anemia (FA) phenotype is used in classification of , and variants with respect to dominant hereditary breast-ovarian cancer syndrome. We assessed its utility by examining the spectrum of phenotypes observed in individuals biallelic for , or pathogenic variants, and exploring the relationship between cancer presentation and allele severity score based on variant molecular features. A data collection instrument comprising 158 Human Phenotype Ontology (HPO) terms was used to document clinical features for individuals with FA from published and/or prospectively collected (total n=172, 43 previously unpublished) phenotypic data. Unique FA-related variants (15 , 123 , 22 ) were annotated for predicted molecular impact, location, observed splicing or functional impact, and potential in-frame splice rescue. Annotations were used to assign different permutations of allele severity scores, which were assessed for correlation with FA presentation features. The association of and allele severity score with magnitude of breast cancer risk in heterozygotes was evaluated using case-control analysis. Patient-detected features extended beyond the FA ORPHA:84 HPO list, including 84 terms related by hierarchy, and 94 novel terms. Genotype severity score was significantly associated with age at cancer diagnosis in FA individuals (p=1.8×10 ). A similar permutation approach revealed significant differences in magnitude of breast cancer risk according to and allele severity score in heterozygotes. Findings indicate potential to redefine the existing list of FA-related HPO terms, and to use an allele severity scoring approach to predict cancer risk in both FA patients and heterozygotes
<i>BRCA1</i>-, <i>BRCA2</i>-, and <i>PALB2</i>-related Fanconi anemia:Scope to expand disease phenotypic features and predict breast cancer risk in heterozygotes
No full textThe recessive Fanconi anemia (FA) phenotype is used to classify BRCA1 (FANCS), BRCA2 (FANCD1), and PALB2 (FANCN) variants with respect to dominant hereditary breast-ovarian cancer syndrome. We assessed its utility by examining the phenotypic spectrum observed in individuals with bi-allelic BRCA1, BRCA2, or PALB2 pathogenic variants and exploring the relationship between cancer presentation and allele severity score based on variant molecular features. A data collection instrument comprising 158 Human Phenotype Ontology (HPO) terms was used to document clinical features for individuals with FA from published and/or prospectively collected sources (total n = 172, 43 previously unpublished). Distinct FA-related variants (15 BRCA1, 123 BRCA2, and 22 PALB2) were annotated for predicted molecular impact, location, observed splicing or functional impact, and potential in-frame splicing rescue and used to assign different permutations of allele severity scores, which were assessed for correlation with FA presentation features. The association of BRCA1 and BRCA2 allele severity score with the magnitude of breast cancer risk in heterozygotes was evaluated using case-control analysis. Clinical features extended beyond the HPO list, including 84 terms related by hierarchy and 94 additional terms. The BRCA2 genotype severity score was associated with age at cancer diagnosis in individuals with FA (p = 1.8 × 10-8). A similar permutation approach revealed significant differences in the magnitude of breast cancer risk according to the BRCA1 and BRCA2 allele severity score in heterozygotes. Our findings indicate the potential to redefine FA ORPHA:84 HPO terms and to use an allele severity scoring approach to predict cancer risk in individuals with bi-allelic or heterozygous BRCA1 or BRCA2 variants.</p
Sotagliflozin in patients with diabetes and recent worsening heart failure
No full textBACKGROUND Sodium-glucose cotransporter 2 (SGLT2) inhibitors reduce the risk of hospitalization for heart failure or death from cardiovascular causes among patients with stable heart failure. However, the safety and efficacy of SGLT2 inhibitors when initiated soon after an episode of decompensated heart failure are unknown. METHODS We performed a multicenter, double-blind trial in which patients with type 2 diabetes mellitus who were recently hospitalized for worsening heart failure were randomly assigned to receive sotagliflozin or placebo. The primary end point was the total number of deaths from cardiovascular causes and hospitalizations and urgent visits for heart failure (first and subsequent events). The trial ended early because of loss of funding from the sponsor. RESULTS A total of 1222 patients underwent randomization (608 to the sotagliflozin group and 614 to the placebo group) and were followed for a median of 9.0 months; the first dose of sotagliflozin or placebo was administered before discharge in 48.8% and a median of 2 days after discharge in 51.2%. Among these patients, 600 primary end-point events occurred (245 in the sotagliflozin group and 355 in the placebo group). The rate (the number of events per 100 patient-years) of primary end-point events was lower in the sotagliflozin group than in the placebo group (51.0 vs. 76.3; hazard ratio, 0.67; 95% confidence interval [CI], 0.52 to 0.85; P<0.001). The rate of death from cardiovascular causes was 10.6 in the sotagliflozin group and 12.5 in the placebo group (hazard ratio, 0.84; 95% CI, 0.58 to 1.22); the rate of death from any cause was 13.5 in the sotagliflozin group and 16.3 in the placebo group (hazard ratio, 0.82; 95% CI, 0.59 to 1.14). Diarrhea was more common with sotagliflozin than with placebo (6.1% vs. 3.4%), as was severe hypoglycemia (1.5% vs. 0.3%). The percentage of patients with hypotension was similar in the sotagliflozin group and the placebo group (6.0% and 4.6%, respectively), as was the percentage with acute kidney injury (4.1% and 4.4%, respectively). The benefits of sotagliflozin were consistent in the prespecified subgroups of patients stratified according to the timing of the first dose. CONCLUSIONS In patients with diabetes and recent worsening heart failure, sotagliflozin therapy, initiated before or shortly after discharge, resulted in a significantly lower total number of deaths from cardiovascular causes and hospitalizations and urgent visits for heart failure than placebo. (Funded by Sanofi and Lexicon Pharmaceuticals; SOLOIST-WHF ClinicalTrials.gov number, NCT03521934.)
Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction
No full textBackground: The 313-variant polygenic risk score (PRS313) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS313 across different European populations which could influence risk estimation has not been performed. Methods: We explored the distribution of PRS313 across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank. The mean PRS was calculated by country in the BCAC dataset and by country of birth in the UK Biobank. We explored different approaches to reduce the observed heterogeneity in the mean PRS across the countries, and investigated the implications of the distribution variability in risk prediction. Results: The mean PRS313 differed markedly across European countries, being highest in individuals from Greece and Italy and lowest in individuals from Ireland. Using the overall European PRS313 distribution to define risk categories, leads to overestimation and underestimation of risk in some individuals from these countries. Adjustment for principal components explained most of the observed heterogeneity in the mean PRS. The mean estimates derived when using an empirical Bayes approach were similar to the predicted means after principal component adjustment. Conclusions: Our results demonstrate that PRS distribution differs even within European ancestry populations leading to underestimation or overestimation of risk in specific European countries, which could potentially influence clinical management of some individuals if is not appropriately accounted for. Population-specific PRS distributions may be used in breast cancer risk estimation to ensure predicted risks are correctly calibrated across risk categories
Polygenic score distribution differences across European ancestry populations: implications for breast cancer risk prediction
No full textAbstract Background The 313-variant polygenic risk score (PRS313) provides a promising tool for clinical breast cancer risk prediction. However, evaluation of the PRS313 across different European populations which could influence risk estimation has not been performed. Methods We explored the distribution of PRS313 across European populations using genotype data from 94,072 females without breast cancer diagnosis, of European-ancestry from 21 countries participating in the Breast Cancer Association Consortium (BCAC) and 223,316 females without breast cancer diagnosis from the UK Biobank. The mean PRS was calculated by country in the BCAC dataset and by country of birth in the UK Biobank. We explored different approaches to reduce the observed heterogeneity in the mean PRS across the countries, and investigated the implications of the distribution variability in risk prediction. Results The mean PRS313 differed markedly across European countries, being highest in individuals from Greece and Italy and lowest in individuals from Ireland. Using the overall European PRS313 distribution to define risk categories, leads to overestimation and underestimation of risk in some individuals from these countries. Adjustment for principal components explained most of the observed heterogeneity in the mean PRS. The mean estimates derived when using an empirical Bayes approach were similar to the predicted means after principal component adjustment. Conclusions Our results demonstrate that PRS distribution differs even within European ancestry populations leading to underestimation or overestimation of risk in specific European countries, which could potentially influence clinical management of some individuals if is not appropriately accounted for. Population-specific PRS distributions may be used in breast cancer risk estimation to ensure predicted risks are correctly calibrated across risk categories
