Inherited metabolic disorders: a century of evolution

E. Martins
{"title":"Inherited metabolic disorders: a century of evolution","authors":"E. Martins","doi":"10.25753/BIRTHGROWTHMJ.V29.I3.20653","DOIUrl":null,"url":null,"abstract":"Inherited metabolic disorders (IMD) constitue a vast and complex group of pathologies increasingly relevant in the 21st century.1 The term “inborn error of metabolism” (IEM) was first enunciated in 1908 by Sir Archibald Garrod in reference to four diseases: alkaptonuria, pentosuria, cystinuria, and albinism. The first book on this subject was published in 1960 and included 80 diseases, but more than 1000 diseases are currently described, with ongoing discoveries.2,3 Indeed, IMDs are at the forefront of medical progress, with new methods on metabolomics and genomics identifying the molecular basis of an increasing number of previously unknown pathological conditions and syndromes. Metabolomics is the culmination of a century of biochemical diagnoses as the fundamental basis of IEM approach. Biochemical profiling allows laboratory assessment of the chemical fingerprint of multiple metabolites and their metabolic pathways in body tissues and fluids, usually with small samples and high speed. Although this technology is not yet ready to replace the classic biochemical diagnostic methods, it is highly likely that its influence will increase as we move forward in this century. Genomics, or clinical exome sequencing, the cornerstone of genetic diagnosis and standard of care for unexplained genetic or metabolic changes, will be replaced in the future by clinical genome sequencing resulting from evolution of algorithms underlying bioinformatic analysis and use of artificial intelligence for diagnostic purposes.3,4 The approach provided by these new tools allows for diagnoses not previously suspected and for acknowledging new classes of metabolic defects (e.g. defects in synthesis and remodeling of complex lipids, including phospholipids, sphingolipids, and complex fatty acids) and widening of their clinical phenotypic spectrum.3 Along with this enormous multidisciplinary diagnostic capacity, these emerging technologies enable to link clinical, biochemical, and molecular characteristics of metabolic diseases and provide a basis for therapeutic intervention. In the therapeutic field, classic approaches aiming to reduce toxic metabolites, include dietary restrictions, establish alternative ways to promote elimination of potentially toxic metabolites (eg. medications and dialysis in diseases of the urea cycle or organic acidurias), and use substrate reduction therapies (e.g. eliglustat and miglustat for Gaucher disease) are being monitored and/or replaced by treatment options designed to more directly correct the underlying metabolic defect. This last group includes replacement therapy with recombinant enzymes, use of coenzymes and chaperons as modifiers, and cell/organ-transplantation. Other promising treatments include therapeutic mRNA and gene therapy using viral vector systems or gene editing. Many of these new therapies are currently in clinical trial phase, with evidence regarding diagnosis still largely outpacing evidence regarding new therapies.3-5 Early and adequate therapy, before the onset of irreversible sequelae, is a reality and a prerequisite for a significant number of diseases associated with good prognosis. Systematic neonatal screening plays a very important role in this setting. The use of tandem mass spectrometry − currently employed in the analysis of dried blood spotss on paper (Guthrie’s test) − increased the number of treatable diseases capable of being simultaneously detected through metabolic disease identification. Also in this setting, new diagnostic methods associated with novel therapeutic approaches foresee inclusion of different diseases in the screening.4 Moreover, in this vast group of individually rare and complex genetic diseases initially considered to be pediatric diseases, an increasing number of patients present or are diagnosed in adulthood, as the result of a sometimes surprising phenotic variability or influence of other","PeriodicalId":31313,"journal":{"name":"Nascer e Crescer","volume":"7 1","pages":"126-127"},"PeriodicalIF":0.0000,"publicationDate":"2020-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nascer e Crescer","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.25753/BIRTHGROWTHMJ.V29.I3.20653","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Inherited metabolic disorders (IMD) constitue a vast and complex group of pathologies increasingly relevant in the 21st century.1 The term “inborn error of metabolism” (IEM) was first enunciated in 1908 by Sir Archibald Garrod in reference to four diseases: alkaptonuria, pentosuria, cystinuria, and albinism. The first book on this subject was published in 1960 and included 80 diseases, but more than 1000 diseases are currently described, with ongoing discoveries.2,3 Indeed, IMDs are at the forefront of medical progress, with new methods on metabolomics and genomics identifying the molecular basis of an increasing number of previously unknown pathological conditions and syndromes. Metabolomics is the culmination of a century of biochemical diagnoses as the fundamental basis of IEM approach. Biochemical profiling allows laboratory assessment of the chemical fingerprint of multiple metabolites and their metabolic pathways in body tissues and fluids, usually with small samples and high speed. Although this technology is not yet ready to replace the classic biochemical diagnostic methods, it is highly likely that its influence will increase as we move forward in this century. Genomics, or clinical exome sequencing, the cornerstone of genetic diagnosis and standard of care for unexplained genetic or metabolic changes, will be replaced in the future by clinical genome sequencing resulting from evolution of algorithms underlying bioinformatic analysis and use of artificial intelligence for diagnostic purposes.3,4 The approach provided by these new tools allows for diagnoses not previously suspected and for acknowledging new classes of metabolic defects (e.g. defects in synthesis and remodeling of complex lipids, including phospholipids, sphingolipids, and complex fatty acids) and widening of their clinical phenotypic spectrum.3 Along with this enormous multidisciplinary diagnostic capacity, these emerging technologies enable to link clinical, biochemical, and molecular characteristics of metabolic diseases and provide a basis for therapeutic intervention. In the therapeutic field, classic approaches aiming to reduce toxic metabolites, include dietary restrictions, establish alternative ways to promote elimination of potentially toxic metabolites (eg. medications and dialysis in diseases of the urea cycle or organic acidurias), and use substrate reduction therapies (e.g. eliglustat and miglustat for Gaucher disease) are being monitored and/or replaced by treatment options designed to more directly correct the underlying metabolic defect. This last group includes replacement therapy with recombinant enzymes, use of coenzymes and chaperons as modifiers, and cell/organ-transplantation. Other promising treatments include therapeutic mRNA and gene therapy using viral vector systems or gene editing. Many of these new therapies are currently in clinical trial phase, with evidence regarding diagnosis still largely outpacing evidence regarding new therapies.3-5 Early and adequate therapy, before the onset of irreversible sequelae, is a reality and a prerequisite for a significant number of diseases associated with good prognosis. Systematic neonatal screening plays a very important role in this setting. The use of tandem mass spectrometry − currently employed in the analysis of dried blood spotss on paper (Guthrie’s test) − increased the number of treatable diseases capable of being simultaneously detected through metabolic disease identification. Also in this setting, new diagnostic methods associated with novel therapeutic approaches foresee inclusion of different diseases in the screening.4 Moreover, in this vast group of individually rare and complex genetic diseases initially considered to be pediatric diseases, an increasing number of patients present or are diagnosed in adulthood, as the result of a sometimes surprising phenotic variability or influence of other
遗传代谢紊乱:一个世纪的进化
遗传代谢疾病(IMD)是一个庞大而复杂的病理组,在21世纪日益相关1908年,阿奇博尔德·加罗德爵士(Sir Archibald Garrod)首次提出了“先天性代谢错误”(IEM)一词,指的是四种疾病:尿酸尿症、尿毒症、胱氨酸尿症和白化病。关于这一主题的第一本书于1960年出版,其中包括80种疾病,但目前描述了1000多种疾病,并不断发现。2,3事实上,imd处于医学进步的前沿,代谢组学和基因组学的新方法确定了越来越多以前未知的病理状况和综合征的分子基础。代谢组学是生化诊断作为IEM方法基础的一个世纪的顶峰。生化分析允许实验室评估多种代谢物及其在人体组织和液体中的代谢途径的化学指纹,通常采用小样本和高速。虽然这项技术还没有准备好取代经典的生化诊断方法,但随着我们在本世纪的发展,它的影响很可能会增加。基因组学或临床外显子组测序是基因诊断的基石,也是无法解释的遗传或代谢变化的护理标准,未来将被生物信息学分析基础算法的进化和用于诊断目的的人工智能的应用所取代。3,4这些新工具提供的方法允许以前不怀疑的诊断,并承认新的代谢缺陷类别(例如合成和重塑复杂脂类的缺陷,包括磷脂,鞘脂和复杂脂肪酸),并扩大其临床表型谱随着这种巨大的多学科诊断能力,这些新兴技术能够将代谢性疾病的临床、生化和分子特征联系起来,并为治疗干预提供基础。在治疗领域,旨在减少有毒代谢物的经典方法,包括饮食限制,建立替代方法来促进消除潜在的有毒代谢物(例如。尿素循环疾病或有机酸尿症的药物治疗和透析),以及使用底物减少疗法(例如用于戈谢病的依格司他和米卢司他)正在受到监测和/或被旨在更直接纠正潜在代谢缺陷的治疗方案所取代。最后一组包括重组酶的替代疗法,使用辅酶和伴侣作为修饰剂,以及细胞/器官移植。其他有希望的治疗方法包括使用病毒载体系统或基因编辑的治疗性mRNA和基因治疗。这些新疗法中有许多目前处于临床试验阶段,关于诊断的证据仍然大大超过关于新疗法的证据。3-5在不可逆的后遗症发作之前进行早期和充分的治疗是一个现实,也是许多与良好预后相关的疾病的先决条件。在这种情况下,系统的新生儿筛查起着非常重要的作用。串联质谱法的使用——目前用于分析纸上的干血斑(格思里试验)——增加了能够通过代谢疾病鉴定同时检测到的可治疗疾病的数量。同样在这种情况下,新的诊断方法与新的治疗方法相结合,将不同的疾病纳入筛查此外,在这一大批最初被认为是儿科疾病的个别罕见和复杂的遗传疾病中,由于有时令人惊讶的表型变异或其他因素的影响,越来越多的患者在成年后出现或被诊断出来
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
审稿时长
8 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信