Evidence map›Paper›PMID 36263355›Full record

ReviewFrontiers in bioengineering and biotechnology2022

General consensus on multimodal functions and validation analysis of perinatal derivatives for regenerative medicine applications.

Michela Pozzobon, Stefania D'Agostino, Maria G Roubelakis, Anna Cargnoni, Roberto Gramignoli, Susanne Wolbank, Florelle Gindraux, Sveva Bollini, Halima Kerdjoudj, Mathilde Fenelon and 8 more

Abstract readReview
In one paragraph

Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

18 authors.

Michela PozzobonDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Stefania D'AgostinoDepartment of Women's and Children's Health, University of Padova, Padova, Italy.
Maria G RoubelakisLaboratory of Biology, Medical School of Athens, National and Kapodistrian University of Athens, Athens, Greece.
Anna CargnoniCentro di Ricerca E. Menni, Fondazione Poliambulanza Istituto Ospedaliero, Brescia, Italy.
Roberto GramignoliDepartment of Laboratory Medicine, Division of Pathology, Karolinska Institutet, Stockholm, Sweden.
Susanne WolbankLudwig Boltzmann Institute for Experimental and Clinical Traumatology, The Research Center in Cooperation with AUVA Trauma Research Center, Austrian Cluster for Tissue Regeneration, Vienna, Austria.
Florelle GindrauxService de Chirurgie Orthopédique, Traumatologique et plastique, CHU Besançon, Laboratoire de Nanomédecine, Imagerie, Thérapeutique EA 4662, University Bourgogne Franche-Comté, Besançon, France.
Sveva BolliniDepartment of Experimental Medicine (DIMES), School of Medical and Pharmaceutical Sciences, University of Genova, Genova, Italy.
Halima KerdjoudjUniversity of Reims Champagne Ardenne, EA 4691 BIOS "Biomatériaux et Inflammation en Site Osseux", UFR d'Odontologie, Reims, France.
Mathilde FenelonUniversity of Bordeaux, INSERM, BIOTIS, U1026, Bordeaux, France.
Roberta Di PietroDepartment of Medicine and Ageing Sciences, Section of Biomorphology, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Mariangela BasileDepartment of Medicine and Ageing Sciences, Section of Biomorphology, G. d'Annunzio University of Chieti-Pescara, Chieti, Italy.
Veronika BorutinskaitėDepartment of Molecular Cell Biology, Institute of Biochemistry, Vilnius University, Vilnius, Lithuania.
Roberta PivaDepartment of Neuroscience and Rehabilitation, University of Ferrara, Ferrara, Italy.
Andreina SchoeberleinDepartment of Obstetrics and Feto-maternal Medicine, Inselspital, Bern University Hospital, Department for BioMedical Research (DBMR), University of Bern, Bern, Switzerland.
Guenther EissnerSystems Biology Ireland, School of Medicine, Conway Institute, University College Dublin, Dublin, Ireland.
Bernd GiebelInstitute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Peter PonsaertsLaboratory of Experimental Hematology, Vaccine and Infectious Disease Institute (Vaxinfectio), University of Antwerp, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Perinatal tissues, such as placenta and umbilical cord contain a variety of somatic stem cell types, spanning from the largely used hematopoietic stem and progenitor cells to the most recently described broadly multipotent epithelial and stromal cells. As perinatal derivatives (PnD), several of these cell types and related products provide an interesting regenerative potential for a variety of diseases. Within COST SPRINT Action, we continue our review series, revising and summarizing the modalities of action and proposed medical approaches using PnD products: cells, secretome, extracellular vesicles, and decellularized tissues. Focusing on the brain, bone, skeletal muscle, heart, intestinal, liver, and lung pathologies, we discuss the importance of potency testing in validating PnD therapeutics, and critically evaluate the concept of PnD application in the field of tissue regeneration. Hereby we aim to shed light on the actual therapeutic properties of PnD, with an open eye for future clinical application. This review is part of a quadrinomial series on functional/potency assays for validation of PnD, spanning biological functions, such as immunomodulation, anti-microbial/anti-cancer, anti-inflammation, wound healing, angiogenesis, and regeneration.

Indexed as

amniotic membrane and fluid stem cellsextracellular vesiclesperinatal derivativesregenerative medicinetissue regeneration

Identifiers

PMID36263355
PMCPMC9574482

What OpenQuestion holds

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Registered trials

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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.