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Efficient enrichment of glycopeptides by supramolecular nanoassemblies that use proximity-assisted covalent binding.

ABSTRACT: Mass spectrometry (MS)-based analysis of glycoproteins and glycopeptides requires selective separation strategies to eliminate interferences from more abundant non-glycosylated biomolecules. In this work, we describe a two-phase liquid-liquid extraction method using supramolecular polymeric nanoassemblies that can selectively and efficiently enrich glycopeptides for enhanced MS detection. The polymeric nanoassemblies are made selective for glycopeptides via the incorporation of hydrazide functional groups that covalently bind to glycans. The enrichment efficiency is further enhanced via the incorporation of acidic functional groups that lead to a proximity-assisted catalysis of the hydrazide-glycan conjugation reaction. Our results further demonstrate the value of designer supramolecular nanomaterials for the selective enrichment of modified peptides from complicated mixtures.

SUBMITTER: Wang M

PROVIDER: S-EPMC6810798 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

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Efficient enrichment of glycopeptides by supramolecular nanoassemblies that use proximity-assisted covalent binding.

Wang Meizhe M Gao Jingjing J Zhao Bo B Thayumanavan S S Vachet Richard W RW

The Analyst 20191001 21

Mass spectrometry (MS)-based analysis of glycoproteins and glycopeptides requires selective separation strategies to eliminate interferences from more abundant non-glycosylated biomolecules. In this work, we describe a two-phase liquid-liquid extraction method using supramolecular polymeric nanoassemblies that can selectively and efficiently enrich glycopeptides for enhanced MS detection. The polymeric nanoassemblies are made selective for glycopeptides via the incorporation of hydrazide functio ...[more]

PMID: 31552921

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Project description:ObjectivesTo examine the relationship between AL communities' distance to the nearest hospital and residents' rates of emergency department (ED) use. We hypothesize that when access to an ED is more convenient, as measured by a shorter distance, assisted living (AL)-to-ED transfers are more common, particularly for nonemergent conditions.DesignRetrospective cohort study, where the main exposure of interest was the distance between each AL and the nearest hospital.Setting and participants2018-2019 Medicare claims were used to identify fee-for-service Medicare beneficiaries aged ≥55 years residing in AL communities.MethodsThe primary outcome of interest was ED visit rates, classified into those that resulted in an inpatient hospital admission and those that did not (ie, ED treat-and-release visits). ED treat-and-release visits were further classified, based on the NYU ED Algorithm, as (1) nonemergent; (2) emergent, primary care treatable; (3) emergent, not primary care treatable; and (4) injury-related. Linear regression models adjusting for resident characteristics and hospital referral region fixed effects were used to estimate the relationship between distance to the nearest hospital and AL resident ED use rates.ResultsAmong 540,944 resident-years from 16,514 AL communities, the median distance to the nearest hospital was 2.5 miles. After adjustment, a doubling of distance to the nearest hospital was associated with 43.5 fewer ED treat-and-release visits per 1000 resident years (95% CI -53.1, -33.7) and no significant difference in the rate of ED visits resulting in an inpatient admission. Among ED treat-and-release visits, a doubling of distance was associated with a 3.0% (95% CI -4.1, -1.9) decline in visits classified as nonemergent, and a 1.6% (95% CI -2.4%, -0.8%) decline in visits classified as emergent, not primary care treatable.Conclusions and implicationsDistance to the nearest hospital is an important predictor of ED use rates among AL residents, particularly for visits that are potentially avoidable. AL facilities may rely on nearby EDs to provide nonemergent primary care to residents, potentially placing residents at risk of iatrogenic events and generating wasteful Medicare spending.

Dataset Information

Efficient enrichment of glycopeptides by supramolecular nanoassemblies that use proximity-assisted covalent binding.

Publications

Efficient enrichment of glycopeptides by supramolecular nanoassemblies that use proximity-assisted covalent binding.

Similar Datasets

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