Evidence map›Paper›PMID 31417109›Full record

ArticleScientific reports2019

Bioinformatics Unmasks the Maneuverers of Pain Pathways in Acute Kidney Injury.

Aprajita Gupta, Sanjeev Puri, Veena Puri

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 10 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

3 authors at 1 institution in 1 country.

Aprajita GuptaCentre for Systems Biology and Bioinformatics, Panjab University, Chandigarh, India.ORCID http://orcid.org/0000-0003-3008-2951
Sanjeev PuriBiotechnology Branch UIET, Panjab University, Chandigarh, India.ORCID http://orcid.org/0000-0002-4314-9871
Veena PuriCentre for Systems Biology and Bioinformatics, Panjab University, Chandigarh, India. vpuri1825@pu.ac.in.ORCID http://orcid.org/0000-0002-0639-5897
Panjab University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute Kidney injury (AKI) is one of the leading health concerns resulting in accumulation of nitrogenous as well as non-nitrogenous wastes in body and characterised by a rapid deterioration in kidney functions. Besides the major toll from the primary insult in the kidney, consequential extra-renal secondary insults endowed with the pathways of inflammatory milieu often complicates the disease outcome. Some of the known symptoms of AKI leading to clinical reporting are fatigue, loss of appetite, headache, nausea, vomiting, and pain in the flanks, wherein proinflammatory cytokines have been strongly implicated in pathogenesis of AKI and neuro-inflammation. Taking in account these clues, we have tried to decode the neuro-inflammation and pain perception phenomenon during the progression of AKI using the pathway integration and biological network strategies. The pathways and networks were generated using bioinformatics software viz. PANTHER, Genomatix and PathVisio to establish the relationship between immune and neuro related pathway in AKI. These observations envisage a neurol-renal axis that is predicted to involve calcium channels in neuro-inflammatory pathway of AKI. These observations, thus, pave a way for a new paradigm in understanding the interplay of neuro-immunological signalling in AKI.

Indexed as

BiomarkersComputational BiologySignal TransductionAcute Kidney InjuryAnimalsGene Expression ProfilingGene OntologyHumansMiceModels, BiologicalMolecular Sequence AnnotationPainTranscriptomeBiomarkers

Identifiers

PMID31417109
PMCPMC6695489
OpenAlexW2968571774

What OpenQuestion holds

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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.