Drug library screen identifies inhibitors of toxic astrogliosis.
Drug library screen identifies inhibitors of toxic astrogliosis.
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DOI:
10.1016/j.msard.2022.103499
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发表时间:
2022-03
影响因子:
4
通讯作者:
Bielekova B
中科院分区:
文献类型:
--
作者:
Masvekar R;Kosa P;Barbour C;Milstein JL;Bielekova B
Multiple sclerosis (MS) is a chronic neuroinflammatory disorder, in which activated immune cells directly or indirectly induce demyelination and axonal degradation. Inflammatory stimuli also change the phenotype of astrocytes, making them neurotoxic. The resulting ‘toxic astrocyte’ phenotype has been observed in animal models of neuroinflammation and in MS lesions. Proteins secreted by toxic astrocytes are elevated in the cerebrospinal fluid (CSF) of MS patients and reproducibly correlate with the rates of accumulation of neurological disability and brain atrophy. This suggests a pathogenic role for neurotoxic astrocytes in MS. Here, we applied a commercially available library of small molecules that are either Food and Drug Administration-approved or in clinical development to an in vitro model of toxic astrogliosis to identify drugs and signaling pathways that inhibit inflammatory transformation of astrocytes to a neurotoxic phenotype. Inhibitors of three pathways related to the endoplasmic reticulum stress: 1) proteasome, 2) heat shock protein 90 and 3) mammalian target of rapamycin reproducibly decreased inflammation-induced conversion of astrocytes to toxic phenotype. Dantrolene, an anti-spasticity drug that inhibits calcium release through ryanodine receptors expressed in the endoplasmic reticulum of central nervous system cells, also exerted inhibitory effect at in vivo achievable concentrations. Finally, we established CSF SERPINA3 as a relevant pharmacodynamic marker for inhibiting toxic astrocytes in clinical trials. Drug library screening provides mechanistic insight into the generation of toxic astrocytes and identifies candidates for immediate proof-of-principle clinical trial(s).
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影响因子:
3.7
作者:
Gold L;Ayers D;Bertino J;Bock C;Bock A;Brody EN;Carter J;Dalby AB;Eaton BE;Fitzwater T;Flather D;Forbes A;Foreman T;Fowler C;Gawande B;Goss M;Gunn M;Gupta S;Halladay D;Heil J;Heilig J;Hicke B;Husar G;Janjic N;Jarvis T;Jennings S;Katilius E;Keeney TR;Kim N;Koch TH;Kraemer S;Kroiss L;Le N;Levine D;Lindsey W;Lollo B;Mayfield W;Mehan M;Mehler R;Nelson SK;Nelson M;Nieuwlandt D;Nikrad M;Ochsner U;Ostroff RM;Otis M;Parker T;Pietrasiewicz S;Resnicow DI;Rohloff J;Sanders G;Sattin S;Schneider D;Singer B;Stanton M;Sterkel A;Stewart A;Stratford S;Vaught JD;Vrkljan M;Walker JJ;Watrobka M;Waugh S;Weiss A;Wilcox SK;Wolfson A;Wolk SK;Zhang C;Zichi D
通讯作者:
Zichi D
影响因子:
11.2
作者:
Barbour, Christopher;Kosa, Peter;Bielekova, Bibiana
通讯作者:
Bielekova, Bibiana
影响因子:
11.2
作者:
Komori M;Blake A;Greenwood M;Lin YC;Kosa P;Ghazali D;Winokur P;Natrajan M;Wuest SC;Romm E;Panackal AA;Williamson PR;Wu T;Bielekova B
通讯作者:
Bielekova B
影响因子:
6
作者:
Gao, Shanshan;Liu, Weimin;Wu, Yue
通讯作者:
Wu, Yue
影响因子:
7.3
作者:
Kirk, J;Plumb, J;McQuaid, S
通讯作者:
McQuaid, S