亚临床转甲状腺素型心脏淀粉样变性的生物标志物。

IF 3.4 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS Current Heart Failure Reports Pub Date : 2025-02-13 DOI:10.1007/s11897-025-00696-y
Jaskeerat S Gulati, Rose Pedretti, Nicholas Hendren, Julia Kozlitina, Lorena Saelices, Lori R Roth, Justin L Grodin
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引用次数: 0

摘要

回顾目的:心脏淀粉样变性最常见的类型是甲状腺转维蛋白淀粉样变性(atr - cm)。这种疾病的早期形式往往不被发现。atr - cm有有效的药物治疗方法。然而,目前的治疗方案在疾病早期使用可能更有效,因此早期发现至关重要。下面,我们讨论关于血液生物标志物在检测亚临床心脏淀粉样变性中的作用的最新进展。最近的研究发现:与非携带者相比,TTR基因淀粉样变性突变携带者发生心力衰竭的风险更高,死亡率更高。传统的生物标志物,如心脏肌钙蛋白和利钠肽,可能对监测亚临床心脏淀粉样变性有用。此外,最近的研究表明淀粉样变性TTR载体状态与低水平的循环转甲状腺素(TTR)和视黄醇结合蛋白4 (RBP4)之间存在联系。实验室的进步也使得基于肽的检测方法得以发展。靶向转甲状腺素聚集体和非天然TTR肽的探针在区分ATTR和非ATTR淀粉样变人群中显示出了希望。最后,最近的研究已经确定了神经丝轻链作为检测多神经病变为主的淀粉样变性的潜在生物标志物。传统的生物标志物,如心肌肌钙蛋白和利钠肽,可能表明早期atr - cm中淀粉样蛋白沉积的发展。然而,它们是非特异性和新兴的生物标志物,如血清转甲状腺素水平、视黄醇结合蛋白4、转甲状腺素聚集体、非天然TTR和神经丝轻链,可能在表征亚临床ATTR方面有希望。
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Biomarkers in Subclinical Transthyretin Cardiac Amyloidosis.

Purpose of review: The most common type of cardiac amyloidosis is transthyretin amyloidosis (ATTR-CM). Early forms of the disease can often go undetected. Effective pharmacological treatments are available for ATTR-CM. However, current treatment options may be more effective when used earlier in the disease, making early detection paramount. Below, we discuss updates with regards to the role that blood-based biomarkers play in detecting subclinical cardiac amyloidosis.

Recent findings: Carriers of amyloidogenic mutations in the TTR gene are at a heightened risk of developing heart failure and have higher mortality rates compared with noncarrier counterparts. Conventional biomarkers, such as the cardiac troponins and natriuretic peptides, may be useful to monitor subclinical cardiac amyloidosis. In addition, recent studies have demonstrated links between amyloidogenic TTR carrier status and low levels of circulating transthyretin (TTR) and retinol-binding protein 4 (RBP4). Laboratory advances have also allowed for the development of peptide-based detection methods. Probes targeting transthyretin aggregates and nonnative TTR peptides have shown promise in differentiating ATTR from non-ATTR amyloidosis populations. Finally, recent studies have identified neurofilament light chains as potential biomarkers for detecting polyneuropathy-predominant amyloidosis. Conventional biomarkers, such as cardiac troponin and natriuretic peptides may indicate evolving amyloid deposition in early ATTR-CM. However, they are non-specific and emerging biomarkers such as serum transthyretin levels, retinol-binding protein 4, transthyretin aggregates, nonnative TTR, and neurofilament light chains may hold promise in characterizing subclinical ATTR.

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来源期刊
Current Heart Failure Reports
Current Heart Failure Reports Medicine-Emergency Medicine
CiteScore
5.30
自引率
0.00%
发文量
44
期刊介绍: This journal intends to provide clear, insightful, balanced contributions by international experts that review the most important, recently published clinical findings related to the diagnosis, treatment, management, and prevention of heart failure. We accomplish this aim by appointing international authorities to serve as Section Editors in key subject areas, such as investigative, pharmacologic, and nonpharmacologic therapies, pathophysiology, and prevention. Section Editors, in turn, select topics for which leading experts contribute comprehensive review articles that emphasize new developments and recently published papers of major importance, highlighted by annotated reference lists. An international Editorial Board reviews the annual table of contents, suggests articles of special interest to their country/region, and ensures that topics are current and include emerging research. Commentaries from well-known figures in the field are also provided.
期刊最新文献
Palliative Care in Advanced Heart Failure. The Evolving Utility of Artificial Intelligence-Based Tools for the Detection of Heart Failure and Cardiomyopathies: From Potential to Implementation. Beyond Continuous-Flow: The Next Wave of Fully Implantable LVADs and Total Artificial Hearts. Advances in Living Myocardial Slice Technology for Heart Failure Research. Emerging Artificial Intelligence Tools for the Screening of Structural and Valvular Heart Disease.
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