Li Qin , Yujiao Jia , Haoxu Wang , Yuan Feng , Junyan Zou , Jianfeng Zhou , Changshun Yu , Bingqing Huang , Ruixue Zhang , Lihui Shi , Jigang Xiao , Yuping Zhao , Qi Sun , Zhijian Xiao , Huijun Wang
{"title":"通过全外显子组测序鉴定遗传性球形红细胞增多症患者的新型突变。","authors":"Li Qin , Yujiao Jia , Haoxu Wang , Yuan Feng , Junyan Zou , Jianfeng Zhou , Changshun Yu , Bingqing Huang , Ruixue Zhang , Lihui Shi , Jigang Xiao , Yuping Zhao , Qi Sun , Zhijian Xiao , Huijun Wang","doi":"10.1016/j.cca.2024.119989","DOIUrl":null,"url":null,"abstract":"<div><div>Defects in erythrocyte membrane proteins can cause the most common type of inherited hemolytic anemia, so called hereditary spherocytosis (HS). It is characterized by the appearance of spherocytes in peripheral blood, hemolytic anemia, splenomegaly, jaundice and gallstones. Due to difficulty of diagnosis solely based on aforementioned parameters, the addition of genetic testing seems to be effective and most acknowledged. Up to date, pathogenic variations in five genes encoding membrane proteins (<em>ANK1</em>, <em>SPTA1</em>, <em>SPTB</em>, <em>SLC4A1</em>, <em>EPB42</em>) are identified to cause HS. Here, we have studied the genetic spectrum in forty-one patients with clinically suspected HS and their families, as well as their genotype-phenotype correlations. Pathogenic mutations in <em>ANK1</em>, <em>SPTB</em>, <em>SLC4A1</em> and <em>SPTA1</em> were found in 17 (41.5 %), 12 (29.3 %), 7 (17.1 %) and 5 (12.2 %) patients, respectively. Deleterious variants include 12 missense, 15 nonsense, 12 frameshift, and 4 splicing variants. Among these variations 32 were novel. In our genotype-phenotype analysis, platelet levels in <em>SPTB</em> (p = 0.021) and <em>SLC4A1</em> (p = 0.02) patients were found to be significantly lower than <em>ANK1</em> patients. In addition, LDH levels in <em>SPTB</em> patients were remarkably lower than patients with <em>ANK1</em> mutations (p = 0.025).</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"565 ","pages":"Article 119989"},"PeriodicalIF":3.2000,"publicationDate":"2024-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Identification of novel variants in hereditary spherocytosis patients by whole-exome sequencing\",\"authors\":\"Li Qin , Yujiao Jia , Haoxu Wang , Yuan Feng , Junyan Zou , Jianfeng Zhou , Changshun Yu , Bingqing Huang , Ruixue Zhang , Lihui Shi , Jigang Xiao , Yuping Zhao , Qi Sun , Zhijian Xiao , Huijun Wang\",\"doi\":\"10.1016/j.cca.2024.119989\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Defects in erythrocyte membrane proteins can cause the most common type of inherited hemolytic anemia, so called hereditary spherocytosis (HS). It is characterized by the appearance of spherocytes in peripheral blood, hemolytic anemia, splenomegaly, jaundice and gallstones. Due to difficulty of diagnosis solely based on aforementioned parameters, the addition of genetic testing seems to be effective and most acknowledged. Up to date, pathogenic variations in five genes encoding membrane proteins (<em>ANK1</em>, <em>SPTA1</em>, <em>SPTB</em>, <em>SLC4A1</em>, <em>EPB42</em>) are identified to cause HS. Here, we have studied the genetic spectrum in forty-one patients with clinically suspected HS and their families, as well as their genotype-phenotype correlations. Pathogenic mutations in <em>ANK1</em>, <em>SPTB</em>, <em>SLC4A1</em> and <em>SPTA1</em> were found in 17 (41.5 %), 12 (29.3 %), 7 (17.1 %) and 5 (12.2 %) patients, respectively. Deleterious variants include 12 missense, 15 nonsense, 12 frameshift, and 4 splicing variants. Among these variations 32 were novel. In our genotype-phenotype analysis, platelet levels in <em>SPTB</em> (p = 0.021) and <em>SLC4A1</em> (p = 0.02) patients were found to be significantly lower than <em>ANK1</em> patients. In addition, LDH levels in <em>SPTB</em> patients were remarkably lower than patients with <em>ANK1</em> mutations (p = 0.025).</div></div>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\"565 \",\"pages\":\"Article 119989\"},\"PeriodicalIF\":3.2000,\"publicationDate\":\"2024-10-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0009898124022423\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898124022423","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Identification of novel variants in hereditary spherocytosis patients by whole-exome sequencing
Defects in erythrocyte membrane proteins can cause the most common type of inherited hemolytic anemia, so called hereditary spherocytosis (HS). It is characterized by the appearance of spherocytes in peripheral blood, hemolytic anemia, splenomegaly, jaundice and gallstones. Due to difficulty of diagnosis solely based on aforementioned parameters, the addition of genetic testing seems to be effective and most acknowledged. Up to date, pathogenic variations in five genes encoding membrane proteins (ANK1, SPTA1, SPTB, SLC4A1, EPB42) are identified to cause HS. Here, we have studied the genetic spectrum in forty-one patients with clinically suspected HS and their families, as well as their genotype-phenotype correlations. Pathogenic mutations in ANK1, SPTB, SLC4A1 and SPTA1 were found in 17 (41.5 %), 12 (29.3 %), 7 (17.1 %) and 5 (12.2 %) patients, respectively. Deleterious variants include 12 missense, 15 nonsense, 12 frameshift, and 4 splicing variants. Among these variations 32 were novel. In our genotype-phenotype analysis, platelet levels in SPTB (p = 0.021) and SLC4A1 (p = 0.02) patients were found to be significantly lower than ANK1 patients. In addition, LDH levels in SPTB patients were remarkably lower than patients with ANK1 mutations (p = 0.025).
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.