Evidence map›Paper›PMID 31126426›Full record

ArticleThe Journal of investigative dermatology2019

Research Techniques Made Simple: Parabiosis to Elucidate Humoral Factors in Skin Biology.

Casey A Spencer, Thomas H Leung

Abstract read
In one paragraph

Article in The Journal of investigative dermatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
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

2 authors.

Casey A SpencerDepartment of Dermatology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA.
Thomas H LeungDepartment of Dermatology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA; Corporal Michael Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA; Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA. Electronic address: thl@pennmedicine.upenn.edu.

Funding

Study Design and Data AnalysisP30AR069589 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Elizabeth Anne Grice · 2016 to 2026
$8.6M
Understanding Appendage Regeneration in MiceK08AR066661 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI LEUNG, THOMAS H. · 2014 to 2018
$839k
Immune and Genetic Controls of Tissue Regeneration in Mice and HumansI01RX002701 · VA · PHILADELPHIA VA MEDICAL CENTER · PI Thomas H. Leung · 2018 to 2026
–
NIAMS NIH HHS K08 AR066661NIAMS NIH HHS P30 AR069589RRD VA I01 RX002701
6 · The paper itself

Abstract

Circulating factors in the blood and lymph support critical functions of living tissues. Parabiosis refers to the condition in which two entire living animals are conjoined and share a single circulatory system. This surgically created animal model was inspired by naturally occurring pairs of conjoined twins. Parabiosis experiments testing whether humoral factors from one animal affect the other have been performed for more than 150 years and have led to advances in endocrinology, neurology, musculoskeletal biology, and dermatology. The development of high-throughput genomics and proteomics approaches permitted the identification of potential circulating factors and rekindled scientific interest in parabiosis studies. For example, this technique may be used to assess how circulating factors may affect skin homeostasis, skin differentiation, skin aging, wound healing, and, potentially, skin cancer.

Indexed as

Research DesignSkin Physiological PhenomenaAnimalsBiomedical ResearchDermatologyModels, AnimalParabiosis

Identifiers

PMID31126426
PMCPMC6540816

What OpenQuestion holds

Textmetadata
LicenceTDM
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.