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葡萄牙的囊性纤维化新生儿筛查:遗传研究严格规定人群中的PAP值

Cystic Fibrosis Newborn Screening in Portugal: PAP Value in Populations with Stringent Rules for Genetic Studies.

作者信息

Marcão Ana, Barreto Celeste, Pereira Luísa, Vaz Luísa Guedes, Cavaco José, Casimiro Ana, Félix Miguel, Silva Teresa Reis, Barbosa Telma, Freitas Cristina, Nunes Sidónia, Felício Verónica, Lopes Lurdes, Amaral Margarida, Vilarinho Laura

机构信息

National Institute of Health Dr Ricardo Jorge, Human Genetics Department, Newborn Screening, Metabolism and Genetic Unit, Rua Alexandre Herculano 321, 4000-055 Porto, Portugal.

Cystic Fibrosis Center, Department of Pediatrics, Hospital de Santa Maria (CHLN), Lisbon Academic Medical Center, Av. Professor Egas Moniz, 1649-028 Lisboa, Portugal.

出版信息

Int J Neonatal Screen. 2018 Jun 29;4(3):22. doi: 10.3390/ijns4030022. eCollection 2018 Sep.

Abstract

Newborn screening (NBS) for cystic fibrosis (CF) has been shown to be advantageous for children with CF, and has thus been included in most NBS programs using various algorithms. With this study, we intend to establish the most appropriate algorithm for CF-NBS in the Portuguese population, to determine the incidence, and to contribute to elucidating the genetic epidemiology of CF in Portugal. This was a nationwide three-year pilot study including 255,000 newborns (NB) that were also screened for congenital hypothyroidism (CH) and 24 other metabolic disorders included in the Portuguese screening program. Most samples were collected in local health centers spread all over the country, between the 3rd and 6th days of life. The algorithm tested includes immunoreactive trypsinogen (IRT) determination, pancreatitis associated protein (PAP) as a second tier, and genetic study for cases referred to specialized clinical centers. Thirty-four CF cases were confirmed positive, thus indicating an incidence of 1:7500 NB. The p.F508del mutation was found in 79% of the alleles. According to the results presented here, CF-NBS is recommended to be included in the Portuguese NBS panel with a small adjustment regarding the PAP cut-off, which we expect to contribute to the improvement of the CF-NBS performance. According to our results, this algorithm is a valuable alternative for CF-NBS in populations with stringent rules for genetic studies.

摘要

新生儿囊性纤维化筛查(NBS)已被证明对囊性纤维化(CF)患儿有益,因此已被纳入大多数采用各种算法的NBS项目中。通过本研究,我们旨在为葡萄牙人群建立最适合的CF-NBS算法,确定发病率,并为阐明葡萄牙CF的遗传流行病学做出贡献。这是一项为期三年的全国性试点研究,纳入了255,000名新生儿(NB),他们还接受了先天性甲状腺功能减退症(CH)以及葡萄牙筛查项目中包含的其他24种代谢紊乱的筛查。大多数样本在出生后第3至6天在遍布全国的当地卫生中心采集。所测试的算法包括免疫反应性胰蛋白酶原(IRT)测定、作为二线检测的胰腺炎相关蛋白(PAP)以及对转诊至专业临床中心的病例进行基因研究。34例CF病例被确诊为阳性,因此发病率为1:7500 NB。79% 的等位基因中发现了p.F508del突变。根据此处给出的结果,建议将CF-NBS纳入葡萄牙NBS检测项目,并对PAP临界值进行小幅调整,我们预计这将有助于提高CF-NBS的性能。根据我们的结果,对于对基因研究有严格规定的人群,该算法是CF-NBS的一种有价值的替代方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3480/7548908/505e5e2e2e00/IJNS-04-00022-g001.jpg

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