Evidence map›Paper›PMID 31534048›Full record

ArticleJCI insight2019

Extracellular vesicles from endometriosis patients are characterized by a unique miRNA-lncRNA signature.

Kasra Khalaj, Jessica E Miller, Harshavardhan Lingegowda, Asgerally T Fazleabas, Steven L Young, Bruce A Lessey, Madhuri Koti, Chandrakant Tayade

Open access · goldAbstract readVideo-Audio Media
PubMed Full text at PMC Publisher
In one paragraph

Article in JCI insight, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed, 2 pooled it
8.9field-weighted citation impact, top 2% 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

59 citing papers in PubMed, 2 syntheses or guidelines pooled it, 88 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Review
  20. 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

8 authors at 4 institutions in 2 countries.

Kasra KhalajDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.
Jessica E MillerDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.
Harshavardhan LingegowdaDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.
Asgerally T FazleabasDepartment of Obstetrics, Gynecology and Reproductive Biology, Michigan State University College of Human Medicine, Grand Rapids, Michigan, USA.
Steven L YoungDepartment of Obstetrics and Gynecology, University of North Carolina, Chapel Hill, North Carolina, USA.
Bruce A LesseyDepartment of Obstetrics and Gynecology, Greenville Health Systems, Greenville, South Carolina, USA.
Madhuri KotiDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.
Chandrakant TayadeDepartment of Biomedical and Molecular Sciences, Queen's University, Kingston, Ontario, Canada.
Queen's University · CAGrand Rapids Community College · USPrisma Health · USUniversity of North Carolina at Chapel Hill · US

Funding

CIHR
6 · The paper itself

Abstract

With multifactorial etiologies, combined with disease heterogeneity and a lack of suitable diagnostic markers and therapy, endometriosis remains a major reproductive health challenge. Extracellular vesicles (EVs) have emerged as major contributors of disease progression in several conditions, including a variety of cancers; however, their role in endometriosis pathophysiology has remained elusive. Using next-generation sequencing of EVs obtained from endometriosis patient tissues and plasma samples compared with controls, we have documented that patient EVs carry unique signatures of miRNAs and long noncoding RNAs (lncRNAs) reflecting their contribution to disease pathophysiology. Mass spectrophotometry-based proteomic analysis of EVs from patient plasma and peritoneal fluid further revealed enrichment of specific pathways, as well as altered immune and metabolic processes. Functional studies in endometriotic epithelial and endothelial cell lines using EVs from patient plasma and controls clearly indicate autocrine uptake and paracrine cell proliferative roles, suggestive of their involvement in endometriosis. Multiplex cytokine analysis of cell supernatants in response to patient and control plasma-derived EVs indicate robust signatures of important inflammatory and angiogenic cytokines known to be involved in disease progression. Collectively, these findings suggest that endometriosis-associated EVs carry unique cargo and contribute to disease pathophysiology by influencing inflammation, angiogenesis, and proliferation within the endometriotic lesion microenvironment.

Indexed as

Ascitic FluidAutocrine CommunicationCase-Control StudiesCell LineCell ProliferationCytokinesDisease ProgressionEndometriosisEndometriumExosomesFemaleGene Expression RegulationHigh-Throughput Nucleotide SequencingHumansInflammationIntravital MicroscopyCytokinesMicroRNAsRNA, Long NoncodingExpression profilingFertilityMolecular diagnosisReproductive Biology

Identifiers

PMID31534048
PMCPMC6795291
OpenAlexW2973570572

What OpenQuestion holds

Textmetadata
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.