Evidence map›Paper›PMID 36091362›Full record

ArticleFrontiers in physiology2022

Analysis of exosome-derived microRNAs as early biomarkers of lipopolysaccharide-induced acute kidney injury in rats.

Carolina Carvalho Serres Da-Silva, Ana Carolina Anauate, Tatiana Pinotti Guirao, Antônio da Silva Novaes, Edgar Maquigussa, Mirian Aparecida Boim

Open access · goldAbstract read
In one paragraph

Article in Frontiers in physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Carolina Carvalho Serres Da-SilvaRenal Division, Department of Medicine, Universidade Federal de SP, São Paulo, Brazil.
Ana Carolina AnauateRenal Division, Department of Medicine, Universidade Federal de SP, São Paulo, Brazil.
Tatiana Pinotti GuiraoRenal Division, Department of Medicine, Universidade Federal de SP, São Paulo, Brazil.
Antônio da Silva NovaesRenal Division, Department of Medicine, Universidade Federal de SP, São Paulo, Brazil.
Edgar MaquigussaRenal Division, Department of Medicine, Universidade Federal de SP, São Paulo, Brazil.
Mirian Aparecida BoimRenal Division, Department of Medicine, Universidade Federal de SP, São Paulo, Brazil.
Universidade Federal de São Paulo · BRUniversidade Metropolitana de Santos · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis contributes to the high prevalence of acute kidney injury (AKI), which mainly occurs in hospitalized patients. The delay in AKI detection is a risk factor for death and chronicity; thus, early diagnosis is essential for initiating proper treatment strategies. Although serum creatinine is used as biomarker, it is increased in plasma serum creatinine only at late stages of AKI. MicroRNAs (miRNAs), a class of noncoding RNAs responsible for gene regulation, can be found in biological fluids within vesicles such as exosomes and may be promising tools for the early detection of AKI. We aimed to identify potential blood miRNAs that can be used as early biomarkers of sepsis-induced AKI in rats. Adult male Wistar rats received a single dose of lipopolysaccharide (LPS). The earliest significant increase in serum creatinine was detected 4 h after LPS administration. To evaluate whether miRNAs could act as early biomarkers, blood samples were collected before and 2 h after LPS infusion. Serum NGAL levels were used as a comparative marker. Serum miRNAs were derived from exosomes, and their expression were evaluated by the PCR array.

Indexed as

acute kidney injureexosome (vesicle)lipopolyssacharidemicroRNAmiRNAsepsis

Identifiers

PMID36091362
PMCPMC9462429
OpenAlexW4293124764

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.