Evidence map›Paper›PMID 37234630›Full record

ArticleHeliyon2023

Ultrasensitive qPCR platform for rapid detection of bacterial contamination of raw biological samples at the point of care.

Valeria Garzarelli, Maria Serena Chiriacò, Marco Cereda, Giuseppe Gigli, Francesco Ferrara

Abstract read
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. 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

5 authors.

Valeria GarzarelliUniversity of Salento, Dept. of Mathematics & Physics E. de Giorgi, Via Arnesano, 73100, Lecce, Italy.
Maria Serena ChiriacòCNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy.
Marco CeredaSTMicroelectronics S.r.l., via Olivetti 2, 20864, Agrate Brianza, Italy.
Giuseppe GigliUniversity of Salento, Dept. of Mathematics & Physics E. de Giorgi, Via Arnesano, 73100, Lecce, Italy.
Francesco FerraraCNR NANOTEC - Institute of Nanotechnology, via per Monteroni, 73100, Lecce, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Contamination of cell cultures can result in a significant loss of precious biological material, particularly in long-term processes including amplification of chimeric antigen receptors (CAR)-T cells and differentiation of patient-derived stem cells, for therapeutic purposes. Bacterial contamination can also lead to more complex conditions such as sepsis which can cause morbidity and mortality, despite strict controls and good laboratory/manufacturing practices in the manipulation of complex biological samples such as blood used in autologous and allogeneic stem cells transplantation. The current standard method to identify biological risk is the set-up of microbial cultures, which can be time consuming with the likelihood of wasting large amounts of reagents in the event of contamination. Real-Time Polymerase Chain Reaction (qPCR) is a molecular method able to detect biological agents in a highly sensitive and specific way and in a short time. However, qPCR assays require complex DNA/RNA purification steps and expensive benchtop instruments, which may not always be available. This paper reports an extraction-free and low-volume protocol for qPCR in a standard instrument, which has been demonstrated to be effective on both Gram-positive (Gram+) and Gram-negative (Gram-) bacteria. Detection has been obtained from spiked cell culture samples, reaching a limit of detection (LOD) of 1 colony forming unit (CFU)/ml. To demonstrate the high potential of this optimized procedure, the same samples were also tested on a Point-Of-Care platform, which includes a cartridge with micro-chambers and a compact instrument, capable of performing qPCR with the same efficiency.

Indexed as

Extraction free qPCRFast raw sample analysisMicroorganism detectionPoint-of-Care deviceReal-time PCR

Identifiers

PMID37234630
PMCPMC10205631

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.