Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Deprecated: Implicit conversion from float 245.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534
Warning: imagejpeg(C:\Inetpub\vhosts\kidney.de\httpdocs\phplern\27075765
.jpg): Failed to open stream: No such file or directory in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 117 Stem+Cells+Transl+Med
2016 ; 5
(6
): 826-35
Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
An Innovative, Comprehensive Mapping and Multiscale Analysis of Registered Trials
for Stem Cell-Based Regenerative Medicine
#MMPMID27075765
Monsarrat P
; Vergnes JN
; Planat-Bénard V
; Ravaud P
; Kémoun P
; Sensebé L
; Casteilla L
Stem Cells Transl Med
2016[Jun]; 5
(6
): 826-35
PMID27075765
show ga
We aim to provide an innovative, comprehensive way of mapping the profusion of
stem cell-based clinical trials registered at ClinicalTrials.gov to explore the
diversity of the fields of application and the temporal complexity of the domain.
We used a chord diagram and phylogenetic-like tree visualizations to assist in
data mining and knowledge discovery. The search strategy used the following
terms: "stromal OR stem OR mesenchymal OR progenitor." The Medical Subject
Headings (MeSH) thesaurus was used to more finely classify diseases treated by
stem cells, from large fields of application to specific diseases. Of the 5,788
trials screened, 939 were included, 51.1% of which were related to mesenchymal
stem cells (MSCs). No real specificity emerged as to the therapeutic uses of the
different types of stem cells. More than half the MSC studies concerned
allogeneic MSCs and received more support from industry than autologous MSC
studies (p < .001). Over time, the uses of cultured cells have increased greatly,
particularly since 2009. Cells derived from adipose tissue are also increasingly
used in trials compared with bone marrow cells. The use of adipose-derived
stromal cells was predominantly autologous (p < .001), restricted to European
countries (p < .01), and supported by industry (p = .02) compared with other
MSCs. Details about MeSH keywords are available at
http://multireview.perso.sfr.fr/. In conclusion, mapping may reveal a lack of
global strategy despite the regulations and the related costs associated with
good manufacturing practices. A systematic approach to preclinical data, intended
to objectively and robustly reveal the most appropriate fields with the most
efficient cells, is needed. Repeated exchanges between the bench and the bedside
are necessary. SIGNIFICANCE: Except for a few trials concerning specific tissue
stem cells used in their corresponding tissues, this global analysis revealed no
real specificity of stem cell uses (including mesenchymal stromal cells). This
raised the question of the physiopathological rationale for these uses and the
lack of a global strategy despite the regulations and the related costs
associated with good manufacturing practices. This original method, leading to
the development of new concepts from already available data, would help
policymakers to optimize resources and investments in terms of public health
priorities. Such an approach should draw parallels between in vitro, in vivo, and
human data. Exchanges in both directions between preclinical and clinical
research could optimize the parameters of clinical trials step by step.
free
free
free
