Evidence map›Paper›PMID 35664695›Full record

ArticleMolecular therapy. Nucleic acids2022

Exosomal mitochondrial tRNAs and miRNAs as potential predictors of inflammation in renal proximal tubular epithelial cells.

Glory Ranches, Maximilian Zeidler, Roman Kessler, Martina Hoelzl, Michael W Hess, Jonathan Vosper, Paul Perco, Herbert Schramek, Kai K Kummer, Michaela Kress and 4 more

Open access · goldAbstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Review
  14. 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

14 authors at 1 institution in 1 country.

Glory RanchesDivision of Genomics and RNomics, Biocenter, Medical University of Innsbruck, Innsbruck 6020, Austria.
Maximilian ZeidlerInstitute of Physiology, Medical University of Innsbruck, Innsbruck 6020, Austria.
Roman KesslerDivision of Genomics and RNomics, Biocenter, Medical University of Innsbruck, Innsbruck 6020, Austria.
Martina HoelzlDivision of Genomics and RNomics, Biocenter, Medical University of Innsbruck, Innsbruck 6020, Austria.
Michael W HessInstitute of Histology and Embryology, Medical University of Innsbruck, Innsbruck 6020, Austria.
Jonathan VosperDivision of Medical Biochemistry, Biocenter, Medical University of Innsbruck, Innsbruck 6020, Austria.
Paul PercoDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck 6020, Austria.
Herbert SchramekDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck 6020, Austria.
Kai K KummerInstitute of Physiology, Medical University of Innsbruck, Innsbruck 6020, Austria.
Michaela KressInstitute of Physiology, Medical University of Innsbruck, Innsbruck 6020, Austria.
Anne KrogsdamDivision of Bioinformatics, Biocenter, Medical University of Innsbruck, Innsbruck 6020, Austria.
Michael RudnickiDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck 6020, Austria.
Gert MayerDepartment of Internal Medicine IV (Nephrology and Hypertension), Medical University of Innsbruck, Innsbruck 6020, Austria.
Alexander HuettenhoferDivision of Genomics and RNomics, Biocenter, Medical University of Innsbruck, Innsbruck 6020, Austria.
Innsbruck Medical University · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exosomes have emerged as a valuable repository of novel biomarkers for human diseases such as chronic kidney disease (CKD). From a healthy control group, we performed microRNA (miRNA) profiling of urinary exosomes and compared it with a cell culture model of renal proximal tubular epithelial cells (RPTECs). Thereby, a large fraction of abundant urinary exosomal miRNAs could also be detected in exosomes derived from RPTECs, indicating them as a suitable model system for investigation of CKD. We subsequently analyzed exosomes from RPTECs in pro-inflammatory and pro-fibrotic states, mimicking some aspects of CKD. Following cytokine treatment, we observed a significant increase in exosome release and identified 30 dysregulated exosomal miRNAs, predominantly associated with the regulation of pro-inflammatory and pro-fibrotic-related pathways. In addition to miRNAs, we also identified 16 dysregulated exosomal mitochondrial RNAs, highlighting a pivotal role of mitochondria in sensing renal inflammation. Inhibitors of exosome biogenesis and release significantly altered the abundance of selected candidate miRNAs and mitochondrial RNAs, thus suggesting distinct sorting mechanisms of different non-coding RNA (ncRNA) species into exosomes. Hence, these two exosomal ncRNA species might be employed as potential indicators for predicting the pathogenesis of CKD and also might enable effective monitoring of the efficacy of CKD treatment.

Indexed as

biomarkerschronic kidney diseasecytokinesexosomesinflammation and fibrosismiRNAsMT: Oligonucleotides: Diagnostics and BiosensorsmtRNAsncRNAsrenal proximal tubular epithelial cells

Identifiers

PMID35664695
PMCPMC9136061
OpenAlexW4225386905

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.