Evidence map›Paper›PMID 36363232›Full record

ArticleMaterials (Basel, Switzerland)2022

Direct, Rapid Detection of Pathogens from Urine Samples.

Sorin David, Raluca-Elena Munteanu, Ana-Maria Tițoiu, Ionela-Cristina Petcu, Ioana-Cristina Cernat, Corina Leancu, Mihaela Gheorghiu, Eugen Gheorghiu

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 2 institutions in 1 country.

Sorin DavidInternational Centre of Biodynamics, Intrarea Portocalelor 1B, 060101 Bucharest, Romania.ORCID 0000-0002-9737-090X
Raluca-Elena MunteanuInternational Centre of Biodynamics, Intrarea Portocalelor 1B, 060101 Bucharest, Romania.ORCID 0000-0003-4629-2435
Ana-Maria TițoiuInternational Centre of Biodynamics, Intrarea Portocalelor 1B, 060101 Bucharest, Romania.
Ionela-Cristina PetcuInternational Centre of Biodynamics, Intrarea Portocalelor 1B, 060101 Bucharest, Romania.
Ioana-Cristina CernatInternational Centre of Biodynamics, Intrarea Portocalelor 1B, 060101 Bucharest, Romania.
Corina LeancuLaboratoarele SynLab, Bld. Tudor Vladimirescu nr.29, 050881 Bucharest, Romania.
Mihaela GheorghiuInternational Centre of Biodynamics, Intrarea Portocalelor 1B, 060101 Bucharest, Romania.
Eugen GheorghiuInternational Centre of Biodynamics, Intrarea Portocalelor 1B, 060101 Bucharest, Romania.
International Centre of Biodynamics · ROUniversity of Bucharest · RO

Funding

Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P2-2.1-PED-2019-4932Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P2-2.1-PED-2019-5155Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P2-2.1-PED-2019-5185Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P2-2.1-PED-2021-2298Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P4-ID-PCE-2020-1433Unitatea Executiva Pentru Finantarea Invatamantului Superior a Cercetarii Dezvoltarii si Inovarii PN-III-P4-PCE-2021-1281Unitatea Executiva Pentru Finantarea Invatamantului Superior Si A Cercetarii Stiintifice Universitare ERANET-M-SmartMatter
6 · The paper itself

Abstract

The problem of rapidly detecting pathogens directly from clinical samples poses significant analytical challenges. Addressing this issue in relation to urinary tract infections, we propose an effective protocol and related immunomagnetic test kits enabling versatile screening for the presence of pathogenic bacteria in unprocessed urine samples. To achieve this, the components of a typical immunomagnetic separation protocol were optimized towards the sensitive assessment of the aggregates formed out of immunomagnetically tagged target pathogens collected from clinical samples. Specifically, a dedicated immunomagnetic material was developed via the functionalization of standardized, micron-sized magnetic beads with generic antibodies against gram-specific bacterial constituents with mannan binding lectin. As such, we demonstrate efficient procedures for achieving the enhanced, specific, and pathogen-mediated cluster formation of these tailored affinity-coated magnetic beads in complex samples. We further show how cluster analysis, in conjunction with the use of nonspecific, inexpensive fluorescent dye, allows for a straightforward optical assessment of the bacterial load directly from urine samples. The optimized sensing protocol and related kits provide, in less than 60 min, qualitative (positive/negative) information on the bacterial load with 85% specificity and 96% sensitivity, which is appropriate to empower clinical microscopy with a new analytic dimension. The procedure is prone to automation, can be conveniently used in clinical microbiology laboratories and, since it preserves the viability of the captured bacteria, can be interfaced with downstream analyses and antimicrobial susceptibility testing. Moreover, the study emphasizes a suite of practical validation assays that are useful for bringing the tool-box of immunomagnetic materials outside the academic laboratory and into real-life applications.

Indexed as

aggregates of magnetically tagged pathogensimmunomagnetic separationrapid identificationUTI

Identifiers

PMID36363232
PMCPMC9656601
OpenAlexW4307920066

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.