Evidence map›Paper›PMID 28144898›Full record

ArticleJournal of the American Society for Mass Spectrometry2017

Ambient Ionization Mass Spectrometry Measurement of Aminotransferase Activity.

Xin Yan, Xin Li, Chengsen Zhang, Yang Xu, R Graham Cooks

Abstract read
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In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2017. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Fast Eruption Desorption Ionization for Mass Spectrometric Analysis.Journal of the American Society for Mass Spectrometry · 2018
    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

5 authors.

Xin YanDepartment of Chemistry, Purdue University, West Lafayette, IN, USA. xiny@stanford.edu.ORCID 0000-0002-8292-130X
Xin LiDepartment of Chemistry, Purdue University, West Lafayette, IN, USA.
Chengsen ZhangDepartment of Chemistry, Purdue University, West Lafayette, IN, USA.
Yang XuDepartment of Chemistry, Purdue University, West Lafayette, IN, USA.
R Graham CooksDepartment of Chemistry, Purdue University, West Lafayette, IN, USA. cooks@purdue.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A change in enzyme activity has been used as a clinical biomarker for diagnosis and is useful in evaluating patient prognosis. Current laboratory measurements of enzyme activity involve multi-step derivatization of the reaction products followed by quantitative analysis of these derivatives. This study simplified the reaction systems by using only the target enzymatic reaction and directly detecting its product. A protocol using paper spray mass spectrometry for identifying and quantifying the reaction product has been developed. Evaluation of the activity of aspartate aminotransferase (AST) was chosen as a proof-of-principle. The volume of sample needed is greatly reduced compared with the traditional method. Paper spray has a desalting effect that avoids sprayer clogging problems seen when examining serum samples by nanoESI. This very simple method does not require sample pretreatment and additional derivatization reactions, yet it gives high quality kinetic data, excellent limits of detection (60 ppb from serum), and coefficients of variation <10% in quantitation. Graphical Abstract ᅟ.

Indexed as

Aspartate AminotransferasesCalibrationGlutamic AcidHumansMass SpectrometrySpectrometry, Mass, Electrospray IonizationTransaminasesAspartate AminotransferasesGlutamic AcidTransaminasesClinical enzymologyDiagnosticsEnzyme activityKineticsLiver DiseaseMultiple reaction monitoringPaper sprayPoint-of-care measurements

Identifiers

What OpenQuestion holds

Textmetadata
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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.