Evidence map›Paper›PMID 22649305›Full record

ArticleTheScientificWorldJournal2012

Apoptosis of epithelial cells and macrophages due to nonpigmented Serratia marcescens strains.

Sylwia Krzymińska, Katarzyna Ochocka, Adam Kaznowski

Abstract read
In one paragraph

Article in TheScientificWorldJournal, 2012. 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. Article
  3. Review
  4. Evaluation of The Pathogenic Potential of InsecticidalPolish journal of microbiology · 2019
    Article
  5. 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

3 authors.

Sylwia KrzymińskaDepartment of Microbiology, Faculty of Biology, A Mickiewicz University, Ulica Umultowska 89, 61-614 Poznań, Poland. sylkrzym@amu.edu.pl
Katarzyna Ochocka
Adam Kaznowski

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Serratia marcescens strains are opportunistic pathogens that are increasingly recognized as a cause of severe nosocomial infections. In this study we observed interactions between nonpigmented strains with human epithelial and macrophage-like cells. The strains revealed hemolytic activity only after the contact of the cells with erythrocytes. The contact of the bacteria with the host cells was also essential to their cytotoxicity. Moreover, all strains revealed adherence ability and were invasive to epithelial cells. Analyses of cellular morphology and DNA fragmentation of the HEp-2 and J774 cells exhibited typical features of cells undergoing apoptosis. We observed morphological changes, including condensation of nuclear chromatin and formation of membrane-bound apoptotic bodies. The lowest apoptotic index in HEp-2 cells did not exceed 25%, whereas the highest reached 59% at 24 h and 72% at 48 h after infection. Most of the strains (60%) induced fragmentation of nuclear DNA. The process depended on the activation of caspases, and was completely blocked by the pan-caspase inhibitor z-VAD-fmk. This study provided new insights into the mechanisms of nonpigmented S. marcescens pathogenesis. The results revealed that the strains produce cell-contact toxins that facilitate bacterial invasion, induce hemolysis, cytotoxicity, and apoptosis of host cells.

Indexed as

Amino Acid Chloromethyl KetonesAnimalsApoptosisCaspasesCell AdhesionCell LineCross InfectionCytotoxicity Tests, ImmunologicDNA FragmentationEnzyme ActivationEpithelial CellsHemolysisHumansMacrophagesMiceSerratia marcescensAmino Acid Chloromethyl Ketonesbenzyloxycarbonylvalyl-alanyl-aspartyl fluoromethyl ketoneCaspases

Identifiers

PMID22649305
PMCPMC3354595

What OpenQuestion holds

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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.