Evidence map›Paper›PMID 39856690›Full record

ArticleOrphanet journal of rare diseases2025

Combined biochemical profiling and DNA sequencing in the expanded newborn screening for inherited metabolic diseases: the experience in an Italian reference center.

Simona Fecarotta, Lorenzo Vaccaro, Alessandra Verde, Marianna Alagia, Alessandro Rossi, Chiara Colantuono, Maria Teresa Cacciapuoti, Patrizia Annunziata, Sara Riccardo, Antonio Grimaldi and 13 more

Abstract read
In one paragraph

Article in Orphanet journal of rare diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Simona Fecarotta *Department of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Lorenzo Vaccaro *Department of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Alessandra Verde *Department of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Marianna AlagiaDepartment of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Alessandro RossiDepartment of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Chiara ColantuonoNEGEDIA Srl, Pozzuoli, Naples, Italy.
Maria Teresa CacciapuotiNEGEDIA Srl, Pozzuoli, Naples, Italy.
Patrizia AnnunziataNEGEDIA Srl, Pozzuoli, Naples, Italy.
Sara RiccardoNEGEDIA Srl, Pozzuoli, Naples, Italy.
Antonio GrimaldiDepartment of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Tonya FuscoDepartment of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Rosa De SantisDepartment of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Fernando BarrettaDepartment of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy.
Lucia AlbanoCEINGE Advanced Biotechnologies Franco Salvatore, Naples, Italy.
Daniela CrisciCEINGE Advanced Biotechnologies Franco Salvatore, Naples, Italy.
Fabiana ValloneCEINGE Advanced Biotechnologies Franco Salvatore, Naples, Italy.
Antonietta TaralloDepartment of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Marcella CesanaTelethon Institute of Genetics and Medicine (TIGEM), Armenise/Harvard Laboratory of Integrative Genomics, Pozzuoli, Italy.
Nicola Brunetti-PierriDepartment of Translational Medicine, University of Naples "Federico II", Naples, Italy.
Giulia FrissoDepartment of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy.
Margherita RuoppoloDepartment of Molecular Medicine and Medical Biotechnology, University of Naples "Federico II", Naples, Italy.
Davide Cacchiarelli *Department of Translational Medicine, University of Naples "Federico II", Naples, Italy. davide.cacchiarelli@unina.it.ORCID http://orcid.org/0000-0002-9621-6716
Giancarlo Parenti *Department of Translational Medicine, University of Naples "Federico II", Naples, Italy. parenti@unina.it.

Funding

Ministero della Salute "EUCARDIS"Ministero della Salute "Genomed"Ministero della Salute "genOMICA"Ministero della Salute MCNT2 2023Ministero della Salute Piano Operativo Salute Traiettoria 3Ministero della Salute Ricerca Finalizzata 2021Ministero della Salute T3-AN-09Ministero dell'Università e della Ricerca MUR-PRIN-2022Ministero dell'Università e della Ricerca Project PNC 0000001 D3 4 Health
6 · The paper itself

Abstract

backgroundNewborn screening (NBS) programs have significantly improved the health and outcomes of patients with inherited metabolic disorders (IMDs). Methods based on liquid chromatography/mass spectrometry (LC-MS/MS) analysis are viewed worldwide as the gold standard procedure for the expanded NBS programs for these disorders. Advanced molecular technologies point to genomic sequencing as an alternative and feasible strategy for the screening of genetic diseases, including IMDs. However, each of the two approaches has potential limitations when used as a first-tier analysis. In this study, we tested a workflow-based parallel biochemical and sequencing analyses to determine whether this approach could improve the diagnostic outcome.

resultsFor each patient identified by LC-MS/MS as positive, we performed both the biochemical confirmatory tests and next-generation sequencing (NGS) procedures from the same Dried Blood Spot (DBS). NGS analysis was based on applying Exome Sequencing libraries, limiting the analysis to 105 actionable genes involved in IMDs. This allows overtaking the actual limitations of NBS on DBS, enhancing our capacity to identify variants that can drive a genetic disease. Through this approach, we could reach 100% of cases solved, with 37.9% of cases (41/108) for which the combination of the biochemical and NGS analysis was indispensable for a correct diagnosis. In total, we could identify 17 affected, 34 false positives, 12 individuals referred to us for maternal conditions. In 45 newborns the molecular analysis showed heterozygosity for mutations in one or more of the genes analyzed, with results compatible with the biochemical profile indicative of NBS positivity.

conclusionsIn this study, we validated the performance of the proposed workflow. The advantage of this approach is limiting molecular analysis only to positive newborns and using a restricted panel of 105 genes relevant for the expanded NBS, with a 100% rate of diagnosis and potential reduction of the costs related to NBS procedures and reduced impact on patients and families.

Indexed as

Metabolic DiseasesMetabolism, Inborn ErrorsNeonatal ScreeningChromatography, LiquidFemaleHigh-Throughput Nucleotide SequencingHumansInfant, NewbornItalyMaleSequence Analysis, DNATandem Mass SpectrometryInherited metabolic disorders (IMDs)Newborn screening (NBS)Next-generation sequencing (NGS)Whole exome sequencing (WES)

Identifiers

PMID39856690
PMCPMC11762513

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.