Evidence map›Paper›PMID 29142235›Full record

ArticleScientific reports2017

Proteomic study revealed cellular assembly and lipid metabolism dysregulation in sepsis secondary to community-acquired pneumonia.

Narendra Kumar Sharma, Alexandre Keiji Tashima, Milena Karina Colo Brunialti, Eden Ramalho Ferreira, Ricardo Jose Soares Torquato, Renato Arruda Mortara, Flavia Ribeiro Machado, Murillo Assuncao, Otelo Rigato, Reinaldo Salomao

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

43 citing papers in PubMed, 67 citations in OpenAlex.

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  11. Low HDL-Cholesterol Concentrations in Lung Transplant Candidates are Strongly Associated With One-Year Mortality After Lung Transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2023
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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 4 institutions in 1 country.

Narendra Kumar SharmaDivision of Infectious Diseases, Escola Paulista de Medicina, Hospital São Paulo, Universidade Federal de Sao Paulo, Sao Paulo, 04039-032, Brazil.ORCID 0000-0002-8681-3840
Alexandre Keiji TashimaDepartamento de Biochemistry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, São Paulo, 04023-900, Brazil.
Milena Karina Colo BrunialtiDivision of Infectious Diseases, Escola Paulista de Medicina, Hospital São Paulo, Universidade Federal de Sao Paulo, Sao Paulo, 04039-032, Brazil.
Eden Ramalho FerreiraDepartment of Microbiology, Immunology and Parasitology, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, 04023-062, Brazil.ORCID 0000-0001-6534-0426
Ricardo Jose Soares TorquatoDepartamento de Biochemistry, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, São Paulo, 04023-900, Brazil.
Renato Arruda MortaraDepartment of Microbiology, Immunology and Parasitology, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, 04023-062, Brazil.ORCID 0000-0002-2311-8349
Flavia Ribeiro MachadoIntensive Care Unit, Hospital São Paulo, Escola Paulista de Medicina, Universidade Federal de Sao Paulo, Sao Paulo, 04024-002, Brazil.
Murillo AssuncaoIntensive Care Unit, Hospital Israelita Albert Einstein, Sao Paulo, 05652- 900, Brazil.
Otelo RigatoDivision of Infectious Diseases, Escola Paulista de Medicina, Hospital São Paulo, Universidade Federal de Sao Paulo, Sao Paulo, 04039-032, Brazil.
Reinaldo SalomaoDivision of Infectious Diseases, Escola Paulista de Medicina, Hospital São Paulo, Universidade Federal de Sao Paulo, Sao Paulo, 04039-032, Brazil. rsalomao@unifesp.br.ORCID 0000-0003-1149-4598
Hospital São Paulo · BRUniversidade Federal de São Paulo · BRHospital Israelita Albert Einstein · BRHospital Sírio-Libanês · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a life-threatening disorder characterized by organ dysfunction and a major cause of mortality worldwide. The major challenge in studying sepsis is its diversity in such factors as age, source of infection and etiology. Recently, genomic and proteomic approaches have improved our understanding of its complex pathogenesis. In the present study, we use quantitative proteomics to evaluate the host proteome response in septic patients secondary to community-acquired pneumonia (CAP). Samples obtained at admission and after 7 days of follow-up were analyzed according to the outcomes of septic patients. The patients' proteome profiles were compared with age- and gender-matched healthy volunteers. Bioinformatic analyses of differentially expressed proteins showed alteration in the cytoskeleton, cellular assembly, movement, lipid metabolism and immune responses in septic patients. Actin and gelsolin changes were assessed in mononuclear cells using immunofluorescence, and a higher expression of gelsolin and depletion of actin were observed in survivor patients. Regarding lipid metabolism, changes in cholesterol, HDL and apolipoproteins were confirmed using enzymatic colorimetric methods in plasma. Transcriptomic studies revealed a massive change in gene expression in sepsis. Our proteomic results stressed important changes in cellular structure and metabolism, which are possible targets for future interventions of sepsis.

Indexed as

ActinsAgedCommunity-Acquired InfectionsFemaleGelsolinGene Expression RegulationGenome, HumanGenomicsHost-Pathogen InteractionsHumansLipid MetabolismLipidsMaleMiddle AgedPneumoniaProteomeActinsGelsolinLipidsProteome

Identifiers

PMID29142235
PMCPMC5688086
OpenAlexW2768065042

What OpenQuestion holds

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LicenceCC BY
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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.