Proteomics and Extracellular Vesicles as Novel Biomarker Sources in Peritoneal Dialysis in Children Article Swipe
Chiara Trincianti
,
Vincenzo Meleca
,
Edoardo La Porta
,
Maurizio Bruschi
,
Giovanni Candiano
,
Andrea Garbarino
,
Xhuliana Kajana
,
Alberto Preda
,
Francesca Lugani
,
Gian Marco Ghiggeri
,
Andrea Angeletti
,
Pasquale Esposito
,
Enrico Verrina
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijms23105655
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/ijms23105655
Peritoneal dialysis (PD) represents the dialysis modality of choice for pediatric patients with end-stage kidney disease. Indeed, compared with hemodialysis (HD), it offers many advantages, including more flexibility, reduction of the risk of hospital-acquired infections, preservation of residual kidney function, and a better quality of life. However, despite these positive aspects, PD may be associated with several long-term complications that may impair both patient’s general health and PD adequacy. In this view, chronic inflammation, caused by different factors, has a detrimental impact on the structure and function of the peritoneal membrane, leading to sclerosis and consequent PD failure both in adults and children. Although several studies investigated the complex pathogenic pathways underlying peritoneal membrane alterations, these processes remain still to explore. Understanding these mechanisms may provide novel approaches to improve the clinical outcome of pediatric PD patients through the identification of subjects at high risk of complications and the implementation of personalized interventions. In this review, we discuss the main experimental and clinical experiences exploring the potentiality of the proteomic analysis of peritoneal fluids and extracellular vesicles as a source of novel biomarkers in pediatric peritoneal dialysis.
Related Topics
Concepts
Peritoneal dialysis
Medicine
Intensive care medicine
Hemodialysis
Dialysis
Biomarker
Kidney disease
Extracellular vesicle
Disease
Extracellular vesicles
Bioinformatics
Internal medicine
Microvesicles
Biology
Cell biology
Biochemistry
Gene
microRNA
Metadata
- Type
- review
- Language
- en
- Landing Page
- https://doi.org/10.3390/ijms23105655
- https://www.mdpi.com/1422-0067/23/10/5655/pdf?version=1652876789
- OA Status
- gold
- Cited By
- 13
- References
- 77
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280543633
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4280543633Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/ijms23105655Digital Object Identifier
- Title
-
Proteomics and Extracellular Vesicles as Novel Biomarker Sources in Peritoneal Dialysis in ChildrenWork title
- Type
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reviewOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-05-18Full publication date if available
- Authors
-
Chiara Trincianti, Vincenzo Meleca, Edoardo La Porta, Maurizio Bruschi, Giovanni Candiano, Andrea Garbarino, Xhuliana Kajana, Alberto Preda, Francesca Lugani, Gian Marco Ghiggeri, Andrea Angeletti, Pasquale Esposito, Enrico VerrinaList of authors in order
- Landing page
-
https://doi.org/10.3390/ijms23105655Publisher landing page
- PDF URL
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https://www.mdpi.com/1422-0067/23/10/5655/pdf?version=1652876789Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.mdpi.com/1422-0067/23/10/5655/pdf?version=1652876789Direct OA link when available
- Concepts
-
Peritoneal dialysis, Medicine, Intensive care medicine, Hemodialysis, Dialysis, Biomarker, Kidney disease, Extracellular vesicle, Disease, Extracellular vesicles, Bioinformatics, Internal medicine, Microvesicles, Biology, Cell biology, Biochemistry, Gene, microRNATop concepts (fields/topics) attached by OpenAlex
- Cited by
-
13Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1, 2024: 1, 2023: 5, 2022: 6Per-year citation counts (last 5 years)
- References (count)
-
77Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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