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Liu L, Tong H, Sun Y, Chen X, Yang T, Zhou G, Li XJ, Li S. Huntingtin Interacting Proteins and Pathological Implications. Int J Mol Sci 2023; 24:13060. [PMID: 37685866 PMCID: PMC10488016 DOI: 10.3390/ijms241713060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/08/2023] [Accepted: 08/18/2023] [Indexed: 09/10/2023] Open
Abstract
Huntington's disease (HD) is caused by an expansion of a CAG repeat in the gene that encodes the huntingtin protein (HTT). The exact function of HTT is still not fully understood, and previous studies have mainly focused on identifying proteins that interact with HTT to gain insights into its function. Numerous HTT-interacting proteins have been discovered, shedding light on the functions and structure of HTT. Most of these proteins interact with the N-terminal region of HTT. Among the various HTT-interacting proteins, huntingtin-associated protein 1 (HAP1) and HTT-interacting protein 1 (HIP1) have been extensively studied. Recent research has uncovered differences in the distribution of HAP1 in monkey and human brains compared with mice. This finding suggests that there may be species-specific variations in the regulation and function of HTT-interacting proteins. Understanding these differences could provide crucial insights into the development of HD. In this review, we will focus on the recent advancements in the study of HTT-interacting proteins, with particular attention to the differential distributions of HTT and HAP1 in larger animal models.
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Affiliation(s)
| | | | | | | | | | | | | | - Shihua Li
- Guangdong Key Laboratory of Non-Human Primate Research, Key Laboratory of Central Nervous System Regeneration (Ministry of Education), Guangdong-Hongkong-Macau Institute of CNS Regeneration, Jinan University, Guangzhou 510623, China; (L.L.); (H.T.); (Y.S.); (X.C.); (T.Y.); (G.Z.); (X.-J.L.)
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Liu C, Cui H, Gu D, Zhang M, Fang Y, Chen S, Tang M, Zhang B, Chen H. Genetic polymorphisms and lung cancer risk: Evidence from meta-analyses and genome-wide association studies. Lung Cancer 2017; 113:18-29. [PMID: 29110844 DOI: 10.1016/j.lungcan.2017.08.026] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2017] [Revised: 08/18/2017] [Accepted: 08/25/2017] [Indexed: 01/30/2023]
Abstract
A growing number of studies investigating the association between Single Nucleotide Polymorphisms (SNPs) and lung cancer risk have been published since over a decade ago. An updated integrative assessment on the credibility and strength of the associations is required. We searched PubMed, Medline, and Web of Science on or before August 29th, 2016. A total of 198 articles were deemed eligible for inclusion, which addressed the associations between 108 variants and lung cancer. Among the 108 variants, 63 were reported to be significantly associated with lung cancer while the remaining 45 were reported non-significant. Further evaluation integrating the Venice Criteria and false-positive report probability (FPRP) was performed to determine the strength of cumulative epidemiological evidence for the 63 significant associations. As a result, 15 SNPs on or near 12 genes and one miRNA with strong evidence of association with lung cancer risk were identified, including TERT (rs2736098), CHRNA3 (rs1051730), AGPHD1 (rs8034191), CLPTM1L (rs401681 and rs402710), BAT3 (rs3117582), TRNAA (rs4324798), ERCC2 (Lys751Gln), miR-146a2 (rs2910164), CYP1B1 (Arg48Gly), GSTM1 (null/present), SOD2 (C47T), IL-10 (-592C/A and -819C/T), and TP53 (intron 6). 19 SNPs were given moderate rating and 17 SNPs were rated as having weak evidence. In addition, all of the 29 SNPs identified in 12 genome-wide association studies (GWAS) were proved to be noteworthy based on FPRP value. This review summarizes and evaluates the cumulative evidence of genetic polymorphisms and lung cancer risk, which can serve as a general and useful reference for further genetic studies.
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Affiliation(s)
- Caiyang Liu
- Department of Cardiothoracic Surgery, First Affiliated Hospital of Chongqing Medical University, No.1, Youyi Road, Yuzhong District, Chongqing 400010, China
| | - Huijie Cui
- Division of Noncommunicable Disease Epidemiology, First Affiliated Hospital and Southwest School of Medicine, Third Military Medical University, Chongqing 400038, China
| | - Dongqing Gu
- Division of Noncommunicable Disease Epidemiology, First Affiliated Hospital and Southwest School of Medicine, Third Military Medical University, Chongqing 400038, China
| | - Min Zhang
- Division of Noncommunicable Disease Epidemiology, First Affiliated Hospital and Southwest School of Medicine, Third Military Medical University, Chongqing 400038, China
| | - Yanfei Fang
- Division of Noncommunicable Disease Epidemiology, First Affiliated Hospital and Southwest School of Medicine, Third Military Medical University, Chongqing 400038, China
| | - Siyu Chen
- Division of Noncommunicable Disease Epidemiology, First Affiliated Hospital and Southwest School of Medicine, Third Military Medical University, Chongqing 400038, China
| | - Mingshuang Tang
- Division of Noncommunicable Disease Epidemiology, First Affiliated Hospital and Southwest School of Medicine, Third Military Medical University, Chongqing 400038, China
| | - Ben Zhang
- Division of Noncommunicable Disease Epidemiology, First Affiliated Hospital and Southwest School of Medicine, Third Military Medical University, Chongqing 400038, China
| | - Huanwen Chen
- Department of Cardiothoracic Surgery, First Affiliated Hospital of Chongqing Medical University, No.1, Youyi Road, Yuzhong District, Chongqing 400010, China.
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