Evidence map›Paper›PMID 25092413›Full record

ArticleMolecular genetics and metabolism

Novel heparan sulfate assay by using automated high-throughput mass spectrometry: Application to monitoring and screening for mucopolysaccharidoses.

Tsutomu Shimada, Joan Kelly, William A LaMarr, Naomi van Vlies, Eriko Yasuda, Robert W Mason, William Mackenzie, Francyne Kubaski, Roberto Giugliani, Yasutsugu Chinen and 6 more

Open access · greenAbstract read
In one paragraph

Article in Molecular genetics and metabolism. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.6field-weighted citation impact, top 11% of its field
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

21 citing papers in PubMed, 36 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Detection of Glycosaminoglycans in Biological Specimens.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  5. Review
  6. Review
  7. Advances in glycosaminoglycan detection.Molecular genetics and metabolism · 2020
    Review
  8. Diagnosis of Mucopolysaccharidoses.Diagnostics (Basel, Switzerland) · 2020
    Review
  9. Hematopoietic Stem Cell Transplantation for Mucopolysaccharidoses: Past, Present, and Future.Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation · 2019
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Activity of daily living for Morquio A syndrome.Molecular genetics and metabolism · 2016
    Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Review
  20. Newborn screening and diagnosis of mucopolysaccharidoses: application of tandem mass spectrometry.Nihon Masu Sukuriningu Gakkai shi = Journal of Japanese Society for Mass-Screening
    Article
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

16 authors at 7 institutions in 4 countries.

Tsutomu ShimadaNemours/Alfred I duPont Hospital for Children, Wilmington, DE, USA.
Joan KellyAgilent Technologies, Inc., Wakefield, MA, USA.
William A LaMarrAgilent Technologies, Inc., Wakefield, MA, USA.
Naomi van VliesLaboratory of Genetic Metabolic Disease, Academic Medical Center, University of Amsterdam, The Netherlands.
Eriko YasudaNemours/Alfred I duPont Hospital for Children, Wilmington, DE, USA.
Robert W MasonNemours/Alfred I duPont Hospital for Children, Wilmington, DE, USA.
William MackenzieNemours/Alfred I duPont Hospital for Children, Wilmington, DE, USA.
Francyne KubaskiNemours/Alfred I duPont Hospital for Children, Wilmington, DE, USA.
Roberto GiuglianiMedical Genetics Service, HCPA and Department of Genetics, UFRGS, Porto Alegre, Brazil.
Yasutsugu ChinenDepartment of Pediatrics, Faculty of Medicine University of the Ryukyus, Okinawa, Japan.
Seiji YamaguchiDepartment of Pediatrics, Shimane University, Izumo, Japan.
Yasuyuki SuzukiMedical Education Development Center, Gifu University, Gifu, Japan.
Kenji E OriiDepartment of Pediatrics, Graduate School of Medicine, Gifu University, Gifu, Japan.
Toshiyuki FukaoDepartment of Pediatrics, Graduate School of Medicine, Gifu University, Gifu, Japan.
Tadao OriiDepartment of Pediatrics, Graduate School of Medicine, Gifu University, Gifu, Japan.
Shunji TomatsuNemours/Alfred I duPont Hospital for Children, Wilmington, DE, USA; Department of Pediatrics, Graduate School of Medicine, Gifu University, Gifu, Japan. Electronic address: stomatsu@nemours.org.
Alfred I. duPont Hospital for Children · USGifu University · JPAgilent Technologies (United States) · USAcademic Medical Center · NLNational Institute on Population Medical Genetics · BRShimane University · JPUniversity of the Ryukyus · JP

Funding

TRAJECTORIES OF CHANGE IN BMI STATUS IN EARLY CHILDHOODP20RR020173 · NCRR · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI SHAFFER, THOMAS H · 2004 to 2011
$14.9M
Center for Pediatric ResearchP20GM103464 · NIGMS · NEMOURS CHILDREN'S HOSPITAL, DELAWARE · PI SHAFFER, THOMAS H · 2012 to 2014
$5.6M
Newborn Screening and Biomarkers for MucopolysaccharidosesR01HD065767 · NICHD · SAINT LOUIS UNIVERSITY · PI MONTANO, ADRIANA MARIA, TOMATSU, SHUNJI · 2011 to 2015
$2.4M
NCRR NIH HHS P20 RR020173NICHD NIH HHS R01 HD065767NIGMS NIH HHS P20 GM103464NIGMS NIH HHS P20GM103464
6 · The paper itself

Abstract

Mucopolysaccharidoses (MPS) are caused by deficiency of one of a group of specific lysosomal enzymes, resulting in excessive accumulation of glycosaminoglycans (GAGs). We previously developed GAG assay methods using liquid chromatography tandem mass spectrometry (LC-MS/MS); however, it takes 4-5 min per sample for analysis. For the large numbers of samples in a screening program, a more rapid process is desirable. The automated high-throughput mass spectrometry (HT-MS/MS) system (RapidFire) integrates a solid phase extraction robot to concentrate and desalt samples prior to direction into the MS/MS without chromatographic separation; thereby allowing each sample to be processed within 10s (enabling screening of more than one million samples per year). The aim of this study was to develop a higher throughput system to assay heparan sulfate (HS) using HT-MS/MS, and to compare its reproducibility, sensitivity and specificity with conventional LC-MS/MS. HS levels were measured in the blood (plasma and serum) from control subjects and patients with MPS II, III, or IV and in dried blood spots (DBS) from newborn controls and patients with MPS I, II, or III. Results obtained from HT-MS/MS showed 1) that there was a strong correlation of levels of disaccharides derived from HS in the blood, between those calculated using conventional LC-MS/MS and HT-MS/MS, 2) that levels of HS in the blood were significantly elevated in patients with MPS II and III, but not in MPS IVA, 3) that the level of HS in patients with a severe form of MPS II was higher than that in an attenuated form, 4) that reduction of blood HS level was observed in MPS II patients treated with enzyme replacement therapy or hematopoietic stem cell transplantation, and 5) that levels of HS in newborn DBS were elevated in patients with MPS I, II or III, compared to those of control newborns. In conclusion, HT-MS/MS provides much higher throughput than LC-MS/MS-based methods with similar sensitivity and specificity in an HS assay, indicating that HT-MS/MS may be feasible for diagnosis, monitoring, and newborn screening of MPS.

Indexed as

High-Throughput Screening AssaysMass SpectrometryNeonatal ScreeningAdolescentAdultCase-Control StudiesChildChild, PreschoolChromatography, LiquidDried Blood Spot TestingGlycosaminoglycansHeparan SulfateHumansInfantInfant, NewbornMucopolysaccharidosesGlycosaminoglycansHeparan SulfateAutomated high-throughput mass spectrometryBiomarkerHeparan sulfateMucopolysaccharidosesNewborn screening

Identifiers

PMID25092413
PMCPMC4177953
OpenAlexW1985445344

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.