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Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

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Related Experiment Video

Updated: Jun 2, 2026

Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes
10:48

Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes

Published on: April 12, 2015

Stem cell tracking in human trials: a meta-regression.

Peter McColgan1, Pankaj Sharma, Paul Bentley

  • 1Imperial College Cerebrovascular Research Unit, Imperial College Hospitals, Charing Cross Campus, Fulham Palace Rd, London W6 8RF, United Kingdom.

Stem Cell Reviews and Reports
|April 9, 2011
PubMed
Summary
This summary is machine-generated.

Optimizing cell therapy effectiveness requires understanding cell homing. This study identifies key factors like disease chronicity, stem cell purity, and delivery method that predict successful cell uptake in target organs.

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Last Updated: Jun 2, 2026

Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes
10:48

Differentiation of a Human Neural Stem Cell Line on Three Dimensional Cultures, Analysis of MicroRNA and Putative Target Genes

Published on: April 12, 2015

A Live-cell Image-Based Machine Learning Strategy to Monitor Pluripotent Stem Cell Differentiation
11:38

A Live-cell Image-Based Machine Learning Strategy to Monitor Pluripotent Stem Cell Differentiation

Published on: October 4, 2024

Area of Science:

  • Regenerative Medicine
  • Cell Therapy
  • Medical Imaging

Background:

  • Cell therapy effectiveness hinges on transplanted cells reaching target organs.
  • Current research lacks standardized methods for tracking therapeutic cells in vivo.
  • Understanding factors influencing cell homing is crucial for improving treatment outcomes.

Purpose of the Study:

  • To characterize methods used in human therapeutic-cell studies for cell tracking.
  • To identify predictors of target-organ cell uptake efficiency using meta-regression.
  • To provide insights for optimizing cell therapy protocols.

Main Methods:

  • Comprehensive literature search identifying 19 trials with 145 patients across 7 diseases.
  • Extraction of methodological parameters including label type, cell dose, purity, and uptake efficiency.
  • Meta-regression analysis to determine predictors of cell labeling efficiency, viability, and uptake.

Main Results:

  • Cell labeling efficiency correlates positively with cell dose.
  • Cell viability is reduced with indium labeling and prolonged incubation times.
  • Cell uptake efficiency is predicted by stem cell purity (positive) and cell infusion number (negative).

Conclusions:

  • Acute disease, selective stem cells, and intra-arterial delivery enhance therapeutic cell homing.
  • Standardizing cell doses and imaging times in future trials is essential for reliable comparisons.
  • Methodological optimization can significantly improve the efficacy of cell-based therapies.