Preimplantation genetic diagnosis (PGD) has recently been performed for inherited cancer predisposition determined by p53 tumour suppressor gene mutations, suggesting the usefulness of PGD for late onset disorders with genetic predisposition, including those caused by the germline mutations of other tumour suppressor genes. Here PGD was performed for two couples, one at risk for producing a child with maternally derived neurofibromatosis type I (NF1), and the other with paternally derived neurofibromatosis type II (NF2). The procedure involved a standard IVF protocol, combined with testing of oocytes or embryos prior to their transfer back to the patients. Maternal mutation Trp-->Ter (TGG-->TGA) in exon 29 of the NF1 gene was tested by sequential PCR analysis of the first and second polar bodies, and paternal L141P mutation in exon 4 of the NF2 gene by embryo biopsy at the cleavage stage. In both cases, multiplex nested PCR was applied, involving NF1 and NF2 mutation analysis simultaneously with the 3 and 2 linked markers, respectively. Of 57 oocytes tested in four PGD cycles for NF1 mutation, 26 mutation-free oocytes were detected, from which eight were preselected for transfer, two in each cycle. These produced two clinical pregnancies, one confirmed to be mutation free by chorionic villus sampling but ending in a stillbirth, and the other still ongoing. Of 18 embryos analysed in a cycle performed for NF2 mutation, eight mutation-free embryos were detected, three of which were transferred back to the patient, resulting in a singleton pregnancy and the birth of a mutation-free child. This suggests that PGD is a useful approach for avoiding the birth of children with inherited cancer predisposition, determined by NF1 and NF2 gene mutations.
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http://dx.doi.org/10.1016/s1472-6483(10)61809-3 | DOI Listing |
Turk J Haematol
January 2025
Acibadem Adana Hospital, Pediatric BMT Unit, Adana, Türkiye.
Background/aims: Preimplantation genetic diagnosis (PGD) with human leukocyte antigen (HLA) typing represents a significant advancement in treating inherited hematological disorders, particularly thalassemia major. This technology enables the birth of healthy children who can serve as compatible stem cell donors for their affected siblings. Turkey is a world leader in both PGD+HLA typing technology and hematopoietic stem cell transplantation from savior siblings born through PGD+HLA typing.
View Article and Find Full Text PDFPurpose Of Review: This review summarizes the current literature on primary graft dysfunction highlighting the current definition, reviewing epidemiology, and describing donor, recipient, and perioperative risk factors in the contemporary era.
Recent Findings: PGD, in its most severe form, complicates 8% of heart transplants and portends a 1-year mortality of close to 40%. PGD is multifactorial and heterogeneous with contributions from donor and recipient risk as well as organ recovery and preservation modalities.
J Inflamm Res
January 2025
Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, People's Republic of China.
Background: Lung transplantation is the only effective therapeutic option for patients with end-stage lung disease. However, ischemia/reperfusion injury (IRI) during transplantation is a leading cause of primary graft dysfunction (PGD). Ferroptosis, a form of iron-dependent cell death driven by lipid peroxidation, has been implicated in IRI across various organs.
View Article and Find Full Text PDFJ Heart Lung Transplant
January 2025
Department of Cardiovascular Surgery, Mayo Clinic, Rochester, MN; Division of Thoracic Surgery, Department of Surgery, Mayo Clinic, Rochester, MN. Electronic address:
Objectives: To investigate through a meta-analysis of comparative studies the impact of donor type (brain death DBD vs circulatory death DCD) on the short- and long-term outcomes of lung transplantation(LTx).
Methods: Literature search (terms "lung transplantation" AND "donation after circulatory death") was performed up to July 2022 and studies comparing outcomes of LTx from DCD versus DBD were selected. Primary endpoints were early and long-term mortality.
AJNR Am J Neuroradiol
January 2025
From the Department of Radiology (A.T.T., D.Z., D.K., S. Payabvash) and Neurology (S. Park), NewYork-Presbyterian/Columbia University Irving Medical Center, Columbia University, New York, NY; Department of Radiology and Biomedical Imaging (G.A., A.M.) and Neurology (G.J.F., K.N.S.), Yale School of Medicine, New Haven, CT; Zeenat Qureshi Stroke Institute and Department of Neurology (A.I.Q.), University of Missouri, Columbia, MO; Department of Neurosurgery (S.M.), Icahn School of Medicine at Mount Sinai, Mount Sinai Hospital, New York, NY; and Department of Neurology (S.B.M.), Weill Cornell Medical College, Cornell University, New York, NY.
Background And Purpose: Robustness against input data perturbations is essential for deploying deep-learning models in clinical practice. Adversarial attacks involve subtle, voxel-level manipulations of scans to increase deep-learning models' prediction errors. Testing deep-learning model performance on examples of adversarial images provides a measure of robustness, and including adversarial images in the training set can improve the model's robustness.
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