Evidence map›Paper›PMID 27419142›Full record

ReviewBioMed research international2016

Transcriptomics: A Step behind the Comprehension of the Polygenic Influence on Oxidative Stress, Immune Deregulation, and Mitochondrial Dysfunction in Chronic Kidney Disease.

Simona Granata, Alessandra Dalla Gassa, Gloria Bellin, Antonio Lupo, Gianluigi Zaza

Abstract readReview
In one paragraph

Review in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. AlteredBiomolecules · 2021
    Article
  8. Article
  9. Antioxidants (Basel, Switzerland) · 2020
    Article
  10. 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.

Simona GranataRenal Unit, Department of Medicine, University Hospital of Verona, Piazzale Stefani 1, 37126 Verona, Italy.ORCID 0000-0002-3740-7598
Alessandra Dalla GassaRenal Unit, Department of Medicine, University Hospital of Verona, Piazzale Stefani 1, 37126 Verona, Italy.ORCID 0000-0001-7701-7204
Gloria BellinRenal Unit, Department of Medicine, University Hospital of Verona, Piazzale Stefani 1, 37126 Verona, Italy.ORCID 0000-0001-7932-3205
Antonio LupoRenal Unit, Department of Medicine, University Hospital of Verona, Piazzale Stefani 1, 37126 Verona, Italy.ORCID 0000-0002-0009-9771
Gianluigi ZazaRenal Unit, Department of Medicine, University Hospital of Verona, Piazzale Stefani 1, 37126 Verona, Italy.ORCID 0000-0002-6004-6196

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic kidney disease (CKD) is an increasing and global health problem with a great economic burden for healthcare system. Therefore to slow down the progression of this condition is a main objective in nephrology. It has been extensively reported that microinflammation, immune system deregulation, and oxidative stress contribute to CKD progression. Additionally, dialysis worsens this clinical condition because of the contact of blood with bioincompatible dialytic devices. Numerous studies have shown the close link between immune system impairment and CKD but most have been performed using classical biomolecular strategies. These methodologies are limited in their ability to discover new elements and enable measuring the simultaneous influence of multiple factors. The "omics" techniques could overcome these gaps. For example, transcriptomics has revealed that mitochondria and inflammasome have a role in pathogenesis of CKD and are pivotal elements in the cellular alterations leading to systemic complications. We believe that a larger employment of this technique, together with other "omics" methodologies, could help clinicians to obtain new pathogenetic insights, novel diagnostic biomarkers, and therapeutic targets. Finally, transcriptomics could allow clinicians to personalize therapeutic strategies according to individual genetic background (nutrigenomic and pharmacogenomic). In this review, we analyzed the available transcriptomic studies involving CKD patients.

Indexed as

CytokinesHumansImmunity, InnateImmunogenetic PhenomenaMitochondrial DiseasesModels, GeneticModels, ImmunologicalMultifactorial InheritanceOxidative StressReactive Oxygen SpeciesRenal Insufficiency, ChronicTranscriptomeCytokinesReactive Oxygen Species

Identifiers

PMID27419142
PMCPMC4932167

What OpenQuestion holds

Textmetadata
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.