Evidence map›Paper›PMID 36400967›Full record

ArticleAnalytical and bioanalytical chemistry2023

A new enzymatic assay to quantify inorganic pyrophosphate in plasma.

Stefan Lundkvist, Fatemeh Niaziorimi, Flora Szeri, Matthew Caffet, Sharon F Terry, Gunnar Johansson, Robert S Jansen, Koen van de Wetering

Open access · greenAbstract read
In one paragraph

Article in Analytical and bioanalytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Diagnosis and Treatment of Hypophosphatasia.Calcified tissue international · 2025
    Review
  4. Review
  5. 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

8 authors at 4 institutions in 4 countries.

Stefan LundkvistDepartment of Dermatology and Cutaneous Biology, Jefferson Institute of Molecular Medicine and PXE International Center of Excellence in Research and Clinical Care, Sidney Kimmel Medical College, Thomas Jefferson University, 233 S 10th Street, PA, 19107, Philadelphia, USA.
Fatemeh NiaziorimiDepartment of Dermatology and Cutaneous Biology, Jefferson Institute of Molecular Medicine and PXE International Center of Excellence in Research and Clinical Care, Sidney Kimmel Medical College, Thomas Jefferson University, 233 S 10th Street, PA, 19107, Philadelphia, USA.
Flora SzeriDepartment of Dermatology and Cutaneous Biology, Jefferson Institute of Molecular Medicine and PXE International Center of Excellence in Research and Clinical Care, Sidney Kimmel Medical College, Thomas Jefferson University, 233 S 10th Street, PA, 19107, Philadelphia, USA.
Matthew CaffetPXE International, Damascus, MD, USA.
Sharon F TerryPXE International, Damascus, MD, USA.
Gunnar JohanssonDepartment of Chemistry (BMC), Uppsala University, Uppsala, Sweden.
Robert S JansenDepartment of Microbiology, Radboud University, Nijmegen, The Netherlands.
Koen van de WeteringDepartment of Dermatology and Cutaneous Biology, Jefferson Institute of Molecular Medicine and PXE International Center of Excellence in Research and Clinical Care, Sidney Kimmel Medical College, Thomas Jefferson University, 233 S 10th Street, PA, 19107, Philadelphia, USA. Koen.vandeWetering@jefferson.edu.ORCID http://orcid.org/0000-0003-1905-2743
Thomas Jefferson University · USUppsala University · SERadboud University Nijmegen · NLSemmelweis University · HU

Funding

Novel Treatments for PXER01AR072695 · NIAMS · THOMAS JEFFERSON UNIVERSITY · PI LI, QIAOLI, VAN DE WETERING, KOEN · 2018 to 2022
$1.7M
Magyar Tudományos Akadémia Bolyai János Fellowship BO/00730/19/8Magyar Tudományos Akadémia Mobility gMinistry for Innovation and Technology from the source of the National Research DevelopmentMinistry for Innovation and Technology from the source of the National Research Innovation Fund (ÚNKP-2022)NIAMS NIH HHS R01 AR072695NIAMS NIH HHS R01AR072695Országos Tudományos Kutatási Alapprogramok FK131946U.S. Department of State Fulbright Visiting Scholar Program
6 · The paper itself

Abstract

Inorganic pyrophosphate (PPi) is a crucial extracellular mineralization regulator. Low plasma PPi concentrations underlie the soft tissue calcification present in several rare hereditary mineralization disorders as well as in more common conditions like chronic kidney disease and diabetes. Even though deregulated plasma PPi homeostasis is known to be linked to multiple human diseases, there is currently no reliable assay for its quantification. We here describe a PPi assay that employs the enzyme ATP sulfurylase to convert PPi into ATP. Generated ATP is subsequently quantified by firefly luciferase-based bioluminescence. An internal ATP standard was used to correct for sample-specific interference by matrix compounds on firefly luciferase activity. The assay was validated and shows excellent precision (< 3.5%) and accuracy (93-106%) of PPi spiked into human plasma samples. We found that of several anticoagulants tested only EDTA effectively blocked conversion of ATP into PPi in plasma after blood collection. Moreover, filtration over a 300,000-Da molecular weight cut-off membrane reduced variability of plasma PPi and removed ATP present in a membrane-enclosed compartment, possibly platelets. Applied to plasma samples of wild-type and Abcc6

Indexed as

CalcinosisDiphosphatesAdenosine TriphosphateAnimalsHumansLuciferases, FireflyRatsAdenosine TriphosphateDiphosphatesdiphosphoric acidLuciferases, FireflyATP sulfurylaseEctopic mineralizationMineralization inhibitorPlasmaPyrophosphateVascular calcification

Identifiers

PMID36400967
PMCPMC9839608
OpenAlexW4309370204

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.