Modeling congenital cataract in vitro using patient-specific induced pluripotent stem cells.
Modeling congenital cataract in vitro using patient-specific induced pluripotent stem cells.
复制标题
使用患者特异性诱导多能干细胞体外模拟先天性白内障
DOI:
10.1038/s41536-021-00171-x
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发表时间:
2021-10-01
影响因子:
7.2
通讯作者:
Yao K
中科院分区:
文献类型:
--
作者:
Lyu D;Zhang L;Qin Z;Ni S;Li J;Lu B;Hao S;Tang Q;Yin H;Chen Z;Yan YB;Ji J;He J;Nagy A;Fu Q;Yao K
Congenital cataracts are the leading cause of childhood blindness. To date, surgical removal of cataracts is the only established treatment, but surgery is associated with multiple complications, which often lead to visual impairment. Therefore, mechanistic studies and drug-candidate screening have been intrigued by the aims of developing novel therapeutic strategies. However, these studies have been hampered by a lack of an appropriate human-disease model of congenital cataracts. Herein, we report the establishment of a human congenital cataract in vitro model through differentiation of patient-specific induced pluripotent stem cells (iPSCs) into regenerated lenses. The regenerated lenses derived from patient-specific iPSCs with known causative mutations of congenital cataracts (CRYBB2[p. P24T] andCRYGD[p. Q155X]) showed obvious opacification that closely resembled that seen in patients’ cataracts in terms of opacification severity and disease course accordingly, as compared with lentoid bodies (LBs) derived from healthy individuals. Increased protein aggregation and decreased protein solubility corresponding to the patients’ cataract severity were observed in the patient-specific LBs and were attenuated by lanosterol treatment. Taken together, the in vitro model described herein, which recapitulates patient-specific clinical manifestations of congenital cataracts and protein aggregation in patient-specific LBs, provides a robust system for research on the pathological mechanisms of cataracts and screening of drug candidates for cataract treatment.
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DOI:
10.1242/dev.155838
发表时间:
2018-01-09
期刊:
Development (Cambridge, England)
影响因子:
--
作者:
Murphy P;Kabir MH;Srivastava T;Mason ME;Dewi CU;Lim S;Yang A;Djordjevic D;Killingsworth MC;Ho JWK;Harman DG;O'Connor MD
通讯作者:
O'Connor MD
影响因子:
3.7
作者:
Anchan RM;Lachke SA;Gerami-Naini B;Lindsey J;Ng N;Naber C;Nickerson M;Cavallesco R;Rowan S;Eaton JL;Xi Q;Maas RL
通讯作者:
Maas RL
影响因子:
13.7
作者:
Haargaard, B;Wohlfahrt, J;Melbye, M
通讯作者:
Melbye, M
影响因子:
13.6
作者:
Moreau KL;King JA
通讯作者:
King JA
DOI:
10.1126/science.aac9145
发表时间:
2015-11-06
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Makley LN;McMenimen KA;DeVree BT;Goldman JW;McGlasson BN;Rajagopal P;Dunyak BM;McQuade TJ;Thompson AD;Sunahara R;Klevit RE;Andley UP;Gestwicki JE
通讯作者:
Gestwicki JE