Metabolic Glycan Labeling-Based Screen to Identify Bacterial Glycosylation Genes.

Bacterial cell surface glycans are quintessential drug targets due to their critical role in colonization of the host, pathogen survival, and immune evasion. The dense cell envelope glycocalyx contains distinctive monosaccharides that are stitched together into higher order glycans to yield exclusively bacterial structures that are critical for strain fitness and pathogenesis. However, the systematic study and inhibition of bacterial glycosylation enzymes remains challenging. Bacteria produce glycans containing rare sugars refractory to traditional glycan analysis, complicating the study of bacterial glycans and the identification of their biosynthesis machinery. To ease the study of bacterial glycans in the absence of detailed structural information, we used metabolic glycan labeling to detect changes in glycan biosynthesis. Here, we screened wild-type versus mutant strains of the gastric pathogen Helicobacter pylori, ultimately permitting the identification of genes involved in glycoprotein and lipopolysaccharide biosynthesis. Our findings provide the first evidence that H. pylori protein glycosylation proceeds via a lipid carrier-mediated pathway that overlaps with lipopolysaccharide biosynthesis. Protein glycosylation mutants displayed fitness defects consistent with those induced by small molecule glycosylation inhibitors. Broadly, our results suggest a facile approach to screen for bacterial glycosylation genes and gain insight into their biosynthesis and functional importance, even in the absence of glycan structural information.

Customized breast cancer risk assessment in an ambulatory clinic: a portal for identifying women at risk.

PURPOSE: Existing high-risk clinic models focus on patients with known risk factors, potentially missing many high-risk patients. Here we describe our experience implementing universal risk assessment in an ambulatory breast center. METHODS: Since May 2017, all breast center patients completed a customized intake survey addressing known breast cancer risk factors and lifestyle choices. Patient characteristics, family history, risk scores, and lifestyle factors were examined; patients with high-risk breast lesions were excluded. Patients were considered at increased risk by model thresholds Gail 5-year risk > 1.7% (35-59 years), Gail 5-year risk > 5.5% (≥ 60 years), or Tyrer-Cuzick (T-C) v7 lifetime risk > 20% (any age). RESULTS: From May 2017-April 2018, there were 874 eligible patients-420 (48%) referred for risk assessment (RA) and 454 (52%) for non-specific breast complaints (NSBC). Overall, 389 (45%) were at increased risk of breast cancer. Gail 5-year risks were similar between RA and NSBC patients. However, RA patients more frequently met criteria by T-C score (P = 0.02). Of all patients at increased risk, 149 (39%) were overweight (BMI > 25) or obese (BMI > 30) and only 159 (41%) met recommended exercise standards. NSBC patients who met criteria were more frequently smokers (8% vs 1%, P < 0.01); all other demographic/lifestyle factors were similar among high-risk patients regardless of referral reason. CONCLUSIONS: Universal risk assessment in a comprehensive breast health center identified 45% of our population to be at increased risk of breast cancer. This clinical care model provides a unique opportunity to identify and address modifiable risk factors among women at risk.