Evidence map›Paper›PMID 29948504›Full record

ArticleInflammation2018

Quantification of Inflammasome Adaptor Protein ASC in Biological Samples by Multiple-Reaction Monitoring Mass Spectrometry.

Annegret Ulke-Lemée, Arthur Lau, Michelle C Nelson, Matthew T James, Daniel A Muruve, Justin A MacDonald

Abstract read
PubMed Publisher
In one paragraph

Article in Inflammation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

2 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. The role of inflammasomes in kidney disease.Nature reviews. Nephrology · 2019
    Review
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

6 authors at 1 institution in 1 country.

Annegret Ulke-LeméeDepartment of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive N.W, Calgary, AB, T2N 4Z6, Canada.
Arthur LauDepartment of Medicine, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Alberta, Canada.
Michelle C NelsonDepartment of Medicine, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Alberta, Canada.
Matthew T JamesDepartment of Medicine, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Alberta, Canada.
Daniel A MuruveDepartment of Medicine, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive NW, Calgary, T2N 4Z6, Alberta, Canada.
Justin A MacDonaldDepartment of Biochemistry and Molecular Biology, Cumming School of Medicine, University of Calgary, 3280 Hospital Drive N.W, Calgary, AB, T2N 4Z6, Canada. jmacdo@ucalgary.ca.
University of Calgary · CA

Funding

Canadian Institutes of Health Research THC-13523
6 · The paper itself

Abstract

Inflammation is an integral component of many diseases, including chronic kidney disease (CKD). ASC (apoptosis-associated speck-like protein containing CARD, also PYCARD) is the key inflammasome adaptor protein in the innate immune response. Since ASC specks, a macromolecular condensate of ASC protein, can be released by inflammasome-activated cells into the extracellular space to amplify inflammatory responses, the ASC protein could be an important biomarker in diagnostic applications. Herein, we describe the development and validation of a multiple reaction monitoring mass spectrometry (MRM-MS) assay for the accurate quantification of ASC in human biospecimens. Limits of detection and quantification for the signature DLLLQALR peptide (used as surrogate for the target ASC protein) were determined by the method of standard addition using synthetic isotope-labeled internal standard (SIS) peptide and urine matrix from a healthy donor (LOQ was 8.25 pM, with a ~ 1000-fold linear range). We further quantified ASC in the urine of CKD patients (8.4 ± 1.3 ng ASC/ml urine, n = 13). ASC was positively correlated with proteinuria and urinary IL-18 in CKD samples but not with urinary creatinine. Unfortunately, the ASC protein is susceptible to degradation, and patient urine that was thawed and refrozen lost 85% of the ASC signal. In summary, the MRM-MS assay provides a robust means to quantify ASC in biological samples, including clinical biospecimens; however, sample collection and storage conditions will have a critical impact on assay reliability.

Indexed as

CARD Signaling Adaptor ProteinsHumansInflammasomesInterleukin-18Limit of DetectionMass SpectrometryPeptidesProteinuriaReference StandardsRenal Insufficiency, ChronicReproducibility of ResultsCARD Signaling Adaptor ProteinsInflammasomesInterleukin-18PeptidesPYCARD protein, humanAKIapoptosis-associated speck-like protein containing a CARDchronic kidney diseaseCKDinflammationMRM-MSNLRPPYCARDSRM-MSurine

Identifiers

PMID29948504
OpenAlexW2807182714

What OpenQuestion holds

Textmetadata
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.