Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

A more accessible lipid phenotype for predicting type 2 diabetes.

The lancet. Healthy longevity - 1 May 2022

Ramos Paola A, Meeusen Jeffrey W

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Cholesterol, HDL
Share to Diabetes Mellitus, Type 2
Share to Phenotype

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 36098305
DOI: 10.1016/S2666-7568(22)00099-X

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A more accessible lipid phenotype for predicting type 2 diabetes.PMID 36098305Read ↗

Advances in earlier detection of type 2 diabetes. Early warning markers could help stave off full-blown disease and enable more effective treatment.Semantic proximity Read ↗

An adverse lipoprotein phenotype-hypertriglyceridaemic hyperapolipoprotein B-and the long-term risk of type 2 diabetes: a prospective, longitudinal, observational cohort study.Semantic proximity Read ↗

Bimonthly update. Lipid metabolism: apolipoprotein variations affecting lipid metabolism.Semantic proximity Read ↗

Detecting people at high risk of type 2 diabetes- How do we find them and who should be treated?Semantic proximity Read ↗

[Lipoprotein metabolism disorders. II. Epidemiology, classification, and diagnosis].Semantic proximity Read ↗

Identification of putative biomarkers for type 2 diabetes using metabolomics in the Korea Association REsource (KARE) cohortSemantic proximity Read ↗

Very Large Database of Lipids: Rationale and DesignSemantic proximity Read ↗

Prognostic implications of diabetes phenotyping: new concepts for an old disease.Semantic proximity Read ↗

Integrated lipidomics and transcriptomic analysis of peripheral blood reveals significantly enriched pathways in type 2 diabetes mellitus.Semantic proximity Read ↗

[Lipoatrophic diabetes].Semantic proximity Read ↗

Clinically relevant variability of the lipidome in people with type 2 diabetesSemantic proximity Read ↗

Bimonthly update. Lipid metabolism.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.