Heterogenous impairment of α cell function in type 2 diabetes is linked to cell maturation state.
Heterogenous impairment of α cell function in type 2 diabetes is linked to cell maturation state.
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DOI:
10.1016/j.cmet.2021.12.021
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发表时间:
2022-02-01
期刊:
影响因子:
29
通讯作者:
MacDonald PE
中科院分区:
文献类型:
--
作者:
Dai XQ;Camunas-Soler J;Briant LJB;Dos Santos T;Spigelman AF;Walker EM;Arrojo E Drigo R;Bautista A;Jones RC;Avrahami D;Lyon J;Nie A;Smith N;Zhang Y;Johnson J;Manning Fox JE;Michelakis ED;Light PE;Kaestner KH;Kim SK;Rorsman P;Stein RW;Quake SR;MacDonald PE
In diabetes, glucagon secretion from pancreatic α-cells is dysregulated. The underlying mechanisms, and whether dysfunction occurs uniformly amongst cells, remain unclear. We examined α-cells from human donors and mice using electrophysiological, transcriptomic, and computational approaches. Rising glucose suppresses α-cell exocytosis by reducing P/Q-type Ca2+ channel activity, and this is disrupted in type 2 diabetes (T2D). Upon high-fat-feeding of mice, α-cells shift towards a ‘β-cell-like’ electrophysiologic profile in concert with indications of impaired identity. In human α-cells we identify links between cell membrane properties and cell surface signalling receptors, mitochondrial respiratory complex assembly, and cell maturation. Cell type classification using machine learning of electrophysiology data demonstrates a heterogenous loss of ‘electrophysiologic identity’ in α-cells from donors with T2D. Indeed, a sub-set of α-cells with impaired exocytosis is defined by an enrichment in progenitor and lineage markers, and up-regulation of an immature transcriptomic phenotype, suggesting important links between α-cell maturation state and dysfunction. In diabetes, glucagon secretion from pancreatic α-cells is dysregulated. Dai et al. examined electrical and transcriptomic α-cell phenotypes and find that dysfunction in type 2 diabetes is linked to cell maturation state and impaired α-cell identity. Notably, a sub-set of α-cells enriched for lineage markers appears uniquely susceptible to dysfunction.
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影响因子:
4.6
作者:
Bankhead P;Loughrey MB;Fernández JA;Dombrowski Y;McArt DG;Dunne PD;McQuaid S;Gray RT;Murray LJ;Coleman HG;James JA;Salto-Tellez M;Hamilton PW
通讯作者:
Hamilton PW
DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Anders S;Pyl PT;Huber W
通讯作者:
Huber W
影响因子:
7.7
作者:
Collins SC;Hoppa MB;Walker JN;Amisten S;Abdulkader F;Bengtsson M;Fearnside J;Ramracheya R;Toye AA;Zhang Q;Clark A;Gauguier D;Rorsman P
通讯作者:
Rorsman P
影响因子:
29
作者:
Chakravarthy H;Gu X;Enge M;Dai X;Wang Y;Damond N;Downie C;Liu K;Wang J;Xing Y;Chera S;Thorel F;Quake S;Oberholzer J;MacDonald PE;Herrera PL;Kim SK
通讯作者:
Kim SK
影响因子:
30.8
作者:
Chiou, Joshua;Zeng, Chun;Cheng, Zhang;Han, Jee Yun;Schlichting, Michael;Miller, Michael;Mendez, Robert;Huang, Serina;Wang, Jinzhao;Sui, Yinghui;Deogaygay, Allison;Okino, Mei-Lin;Qiu, Yunjiang;Sun, Ying;Kudtarkar, Parul;Fang, Rongxin;Preissl, Sebastian;Sander, Maike;Gorkin, David U.;Gaulton, Kyle J.
通讯作者:
Gaulton, Kyle J.