Evidence map›Paper›PMID 30589901›Full record

ArticlePloS one2018

Conformational fingerprint of blood and tissue ACEs: Personalized approach.

Sergei M Danilov, Victoria E Tikhomirova, Olga V Kryukova, Alexander V Balatsky, Naida I Bulaeva, Elena Z Golukhova, Leo A Bokeria, Larisa M Samokhodskaya, Olga A Kost

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In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed, 12 citations in OpenAlex.

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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

9 authors at 3 institutions in 2 countries.

Sergei M DanilovDepartment of Anesthesiology, University of Illinois at Chicago, Illinois, United States of America.ORCID 0000-0002-6901-4545
Victoria E TikhomirovaChemistry Faculty, Lomonosov Moscow State University, Russia.
Olga V KryukovaChemistry Faculty, Lomonosov Moscow State University, Russia.
Alexander V BalatskyMedical Center, Lomonosov Moscow State University, Russia.ORCID 0000-0002-6694-2231
Naida I BulaevaBakulev Center for Cardiovascular Surgery, Moscow, Russia.ORCID 0000-0002-5091-0518
Elena Z GolukhovaBakulev Center for Cardiovascular Surgery, Moscow, Russia.
Leo A BokeriaBakulev Center for Cardiovascular Surgery, Moscow, Russia.
Larisa M SamokhodskayaMedical Center, Lomonosov Moscow State University, Russia.
Olga A KostChemistry Faculty, Lomonosov Moscow State University, Russia.
Lomonosov Moscow State University · RUBakulev Scientific Center for Cardiovascular Surgery Russian Academy of Medical Sciences · RUUniversity of Arizona · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe pattern of binding of monoclonal antibodies (mAbs) to 18 epitopes on human angiotensin I-converting enzyme (ACE)-"conformational fingerprint of ACE"-is a sensitive marker of subtle conformational changes of ACE due to mutations, different glycosylation in various cells, the presence of ACE inhibitors and specific effectors, etc. METHODOLOGY/PRINCIPAL

findingsWe described in detail the methodology of the conformational fingerprinting of human blood and tissue ACEs that allows detecting differences in surface topography of ACE from different tissues, as well detecting inter-individual differences. Besides, we compared the sensitivity of the detection of ACE inhibitors in the patient's plasma using conformational fingerprinting of ACE (with only 2 mAbs to ACE, 1G12 and 9B9) and already accepted kinetic assay and demonstrated that the mAbs-based assay is an order of magnitude more sensitive. This approach is also very effective in detection of known (like bilirubin and lysozyme) and still unknown ACE effectors/inhibitors which nature and set could vary in different tissues or different patients. CONCLUSIONS/SIGNIFICANCE: Phenotyping of ACE (and conformational fingerprinting of ACE as a part of this novel approach for characterization of ACE) in individuals really became informative and clinically relevant. Appreciation (and counting on) of inter-individual differences in ACE conformation and accompanying effectors make the application of this approach for future personalized medicine with ACE inhibitors more accurate. This (or similar) methodology can be applied to any enzyme/protein for which there is a number of mAbs to its different epitopes.

Indexed as

EpitopesPeptidyl-Dipeptidase AAntibodies, Monoclonal, Murine-DerivedFemaleHumansMaleOrgan SpecificityProtein ConformationACE protein, humanAntibodies, Monoclonal, Murine-DerivedEpitopesPeptidyl-Dipeptidase A

Identifiers

PMID30589901
PMCPMC6307727
OpenAlexW2907038754

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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.