Hybrid lipids, peptides, and lymphocytes: new era in type 1 diabetes research.


Journal

The Journal of clinical investigation
ISSN: 1558-8238
Titre abrégé: J Clin Invest
Pays: United States
ID NLM: 7802877

Informations de publication

Date de publication:
05 08 2019
Historique:
entrez: 6 8 2019
pubmed: 6 8 2019
medline: 9 6 2020
Statut: epublish

Résumé

Type 1 diabetes (T1D) results from autoimmune destruction of insulin-producing β cells in islets of Langerhans. Many genetic and immunological insights into autoimmune disease pathogenesis were initially uncovered in the context of T1D and facilitated by preclinical studies using the nonobese diabetic (NOD) mouse model. Recently, the study of T1D has led to the discovery of fatty acid esters of hydroxyl fatty acids (FAHFAs), which are naturally occurring hybrid peptides that modulate inflammation and diabetes pathogenesis, and a hybrid lymphocyte that expresses both B and T cell receptors. Palmitic acid esters of hydroxy stearic acids (PAHSAs) are the most extensively studied FAHFA. In this issue of the JCI, Syed et al. have shown that PAHSAs both attenuate autoimmune responses and promote β cell survival in NOD mice. Given the lack of effective T1D therapies and the paucity of known side effects of PAHSAs, this lipid may have therapeutic potential for individuals at risk for or newly diagnosed with T1D.

Identifiants

pubmed: 31380812
pii: 130313
doi: 10.1172/JCI130313
pmc: PMC6715355
doi:
pii:

Substances chimiques

Esters 0
Hydroxy Acids 0
Peptides 0
Palmitic Acid 2V16EO95H1

Types de publication

Journal Article Research Support, N.I.H., Extramural Comment

Langues

eng

Sous-ensembles de citation

IM

Pagination

9

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI099027
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK104662
Pays : United States

Commentaires et corrections

Type : CommentOn

Références

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Auteurs

Abdel Rahim A Hamad (ARA)

Department of Pathology and.

Mohanraj Sadasivam (M)

Department of Pathology and.

Hamid Rabb (H)

Department of Medicine, Johns Hopkins University, Baltimore, Maryland, USA.

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Classifications MeSH