Evidence map›Paper›PMID 33643467›Full record

ArticleCellular and molecular bioengineering2021

Stromal Cell-Derived Factor-1a Autocrine/Paracrine Signaling Contributes to Spatiotemporal Gradients in the Brain.

Kassondra N Hickey, Shannon M Grassi, Michael R Caplan, Sarah E Stabenfeldt

Abstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2021. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. 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

4 authors.

Kassondra N HickeySchool of Biological and Health Systems Engineering, Arizona State University, PO Box 879709, Tempe, AZ 85287-9709 USA.
Shannon M GrassiSchool of Biological and Health Systems Engineering, Arizona State University, PO Box 879709, Tempe, AZ 85287-9709 USA.
Michael R CaplanPhoenix Country Day School, Upper School Faculty, Paradise Valley, AZ USA.
Sarah E StabenfeldtSchool of Biological and Health Systems Engineering, Arizona State University, PO Box 879709, Tempe, AZ 85287-9709 USA.ORCID 0000-0003-3606-026X

Funding

Detecting and Treating Traumatic Brain Injury Pathology Progression from the Inside-OutDP2HD084067 · NICHD · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI STABENFELDT, SARAH E · 2014 to 2018
$2.8M
NICHD NIH HHS DP2 HD084067
6 · The paper itself

Abstract

introductionStromal cell derived factor-1a (SDF-1a) and its receptor CXCR4 modulate stem cell recruitment to neural injury sites. SDF-1a gradients originating from injury sites contribute to chemotactic cellular recruitment. To capitalize on this injury-induced cell recruitment, further investigation of SDF-1a/CXCR4 signaling dynamics are warranted. Here, we studied how exogenous SDF-1a delivery strategies impact spatiotemporal SDF-1a levels and the role autocrine/paracrine signaling plays.

methodsWe first assessed total SDF-1a and CXCR4 levels over the course of 7 days following intracortical injection of either bolus SDF-1a or SDF-1a loaded nanoparticles in CXCR4-EGFP mice. We then investigated cellular contributors to SDF-1a autocrine/paracrine signaling

results

conclusionsWe conclude that autocrine/paracrine dynamics play a role in endogenous SDF-1a levels in the brain following exogenous delivery. Implementation of these dynamics are necessary to improving SDF-1a delivery strategies. Further, mathematical models introduced here may be utilized in predicting future outcomes based upon new biomaterial designs.

Indexed as

ChemokinesCXCL12CXCR4Modeling

Identifiers

PMID33643467
PMCPMC7878637

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.