Evidence map›Paper›PMID 27615705›Full record

ArticleScientific reports2016

Evolving serodiagnostics by rationally designed peptide arrays: the Burkholderia paradigm in Cystic Fibrosis.

Claudio Peri, Alessandro Gori, Paola Gagni, Laura Sola, Daniela Girelli, Samantha Sottotetti, Lisa Cariani, Marcella Chiari, Marina Cretich, Giorgio Colombo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
4.9field-weighted citation impact, top 5% 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

10 citing papers in PubMed, 27 citations in OpenAlex.

  1. Antibodies toMicroorganisms · 2026
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  2. Vaccines · 2024
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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

10 authors at 2 institutions in 1 country.

Claudio PeriIstituto di Chimica del Riconoscimento Molecolare, ICRM, CNR. Via Mario Bianco 9, 20131, Milano (Italy).
Alessandro GoriIstituto di Chimica del Riconoscimento Molecolare, ICRM, CNR. Via Mario Bianco 9, 20131, Milano (Italy).
Paola GagniIstituto di Chimica del Riconoscimento Molecolare, ICRM, CNR. Via Mario Bianco 9, 20131, Milano (Italy).
Laura SolaIstituto di Chimica del Riconoscimento Molecolare, ICRM, CNR. Via Mario Bianco 9, 20131, Milano (Italy).
Daniela GirelliCystic Fibrosis Microbiology Laboratory, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, via San Barnaba 8, 20122, Milano (Italy).
Samantha SottotettiCystic Fibrosis Microbiology Laboratory, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, via San Barnaba 8, 20122, Milano (Italy).
Lisa CarianiCystic Fibrosis Microbiology Laboratory, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, via San Barnaba 8, 20122, Milano (Italy).
Marcella ChiariIstituto di Chimica del Riconoscimento Molecolare, ICRM, CNR. Via Mario Bianco 9, 20131, Milano (Italy).
Marina CretichIstituto di Chimica del Riconoscimento Molecolare, ICRM, CNR. Via Mario Bianco 9, 20131, Milano (Italy).
Giorgio ColomboIstituto di Chimica del Riconoscimento Molecolare, ICRM, CNR. Via Mario Bianco 9, 20131, Milano (Italy).
Institute of Chemistry of Molecular Recognition · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Efficient diagnosis of emerging and novel bacterial infections is fundamental to guide decisions on therapeutic treatments. Here, we engineered a novel rational strategy to design peptide microarray platforms, which combines structural and genomic analyses to predict the binding interfaces between diverse protein antigens and antibodies against Burkholderia cepacia complex infections present in the sera of Cystic Fibrosis (CF) patients. The predicted binding interfaces on the antigens are synthesized in the form of isolated peptides and chemically optimized for controlled orientation on the surface. Our platform displays multiple Burkholderia-related epitopes and is shown to diagnose infected individuals even in presence of superinfections caused by other prevalent CF pathogens, with limited cost and time requirements. Moreover, our data point out that the specific patterns determined by combined probe responses might provide a characterization of Burkholderia infections even at the subtype level (genomovars). The method is general and immediately applicable to other bacteria.

Indexed as

Antibodies, BacterialAntigens, BacterialBacterial Typing TechniquesBurkholderia cepacia complexBurkholderia InfectionsCystic FibrosisHumansPeptidesProtein Array AnalysisSensitivity and SpecificityAntibodies, BacterialAntigens, BacterialPeptides

Identifiers

PMID27615705
PMCPMC5018727
OpenAlexW2520982559

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.