Title |
Amniotic fluid cells: current progress and emerging challenges in renal regeneration
|
---|---|
Published in |
Pediatric Nephrology, June 2017
|
DOI | 10.1007/s00467-017-3711-7 |
Pubmed ID | |
Authors |
Stefano Da Sacco, Laura Perin, Sargis Sedrakyan |
Abstract |
Amniotic fluid (AF) contains a heterogeneous population of cells that have been identified to possess pluripotent and progenitor-like characteristics. These cells have been applied in various regenerative medicine applications ranging from in vitro cell differentiation to tissue engineering to cellular therapies for different organs including the heart, the liver, the lung, and the kidneys. In this review, we examine the different methodologies used for the derivation of amniotic fluid stem cells and renal progenitors, and their application in renal repair and regeneration. Moreover, we discuss the recent achievements and newly emerging challenges in our understanding of their biology, their immunoregulatory characteristics, and their paracrine-mediated therapeutic potential for the treatment of acute and chronic kidney diseases. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 7 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 43% |
Science communicators (journalists, bloggers, editors) | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Scientists | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 22 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 5 | 23% |
Student > Bachelor | 5 | 23% |
Student > Ph. D. Student | 2 | 9% |
Librarian | 1 | 5% |
Student > Master | 1 | 5% |
Other | 1 | 5% |
Unknown | 7 | 32% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 5 | 23% |
Biochemistry, Genetics and Molecular Biology | 4 | 18% |
Agricultural and Biological Sciences | 3 | 14% |
Computer Science | 1 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
Other | 0 | 0% |
Unknown | 8 | 36% |