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10/31/2024 7:40:51 AM | Browse: 38 | Download: 104
Publication Name World Journal of Experimental Medicine
Manuscript ID 99968
Country China
Received
2024-08-04 05:41
Peer-Review Started
2024-08-04 05:41
To Make the First Decision
Return for Revision
2024-09-19 04:42
Revised
2024-10-02 14:46
Second Decision
2024-10-16 02:46
Accepted by Journal Editor-in-Chief
Accepted by Executive Editor-in-Chief
2024-10-16 10:35
Articles in Press
2024-10-16 10:35
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2024-10-26 00:35
Publish the Manuscript Online
2024-10-31 07:40
ISSN 2220-315x (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: Https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Genetics & Heredity
Manuscript Type Letter to the Editor
Article Title Familial hypercholesterolemia: Current limitations and future breakthroughs
Manuscript Source Invited Manuscript
All Author List Ze Xiang, Jia-Rui Li, Wei-Min Wan, Shu-Hui Li and Jian Wu
ORCID
Author(s) ORCID Number
Jian Wu http://orcid.org/0000-0003-0087-3744
Funding Agency and Grant Number
Funding Agency Grant Number
National Key Research and Development Program of China 2022YFE0209900
Corresponding Author Jian Wu, MD, PhD, Professor, Department of Clinical Laboratory, Suzhou Municipal Hospital, No. 242 Guangji Road, Suzhou 215008, Jiangsu Province, China. wujianglinxing@163.com
Key Words Familial hypercholesterolemia; Genetic mutations; Treatment; Limitations; Breakthroughs
Core Tip Familial hypercholesterolemia (FH) is a genetic disorder characterized by significantly elevated levels of plasma low-density lipoprotein cholesterol, often leading to severe cardiovascular conditions such as acute myocardial infarction. Early detection, diagnosis, and treatment are crucial for improving patient outcomes. Despite growing awareness, over 90% of the estimated 30 million global FH cases remain undiagnosed, and many patients lack adequate treatment. Current management primarily involves statins, with additional therapies like Ezetimibe and proprotein convertase subtilisin/kexin type 9 inhibitors, though effectiveness varies, particularly in homozygous FH cases. Advancements in gene testing and precision medicine are essential for better understanding and treating FH. Future strategies include gene therapy and novel lipid-lowering drugs, alongside lifestyle modifications and genetic diagnosis for early intervention and improved prognosis.
Publish Date 2024-10-31 07:40
Citation <p>Xiang Z, Li JR, Wan WM, Li SH, Wu J. Familial hypercholesterolemia: Current limitations and future breakthroughs. <i>World J Exp Med</i> 2024; 14(4): 99968</p>
URL https://www.wjgnet.com/2220-315x/full/v14/i4/99968.htm
DOI https://dx.doi.org/10.5493/wjem.v14.i4.99968
Full Article (PDF) WJEM-14-99968-with-cover.pdf
Manuscript File 99968_Auto_Edited_142501.docx
Answering Reviewers 99968-answering-reviewers.pdf
Audio Core Tip 99968-audio.mp3
Conflict-of-Interest Disclosure Form 99968-conflict-of-interest-statement.pdf
Copyright License Agreement 99968-copyright-assignment.pdf
Approved Grant Application Form(s) or Funding Agency Copy of any Approval Document(s) 99968-foundation-statement.pdf
Peer-review Report 99968-peer-reviews.pdf
Scientific Editor Work List 99968-scientific-editor-work-list.pdf
CrossCheck Report 99968-crosscheck-report.pdf