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Khan A, Kiryluk K. Polygenic scores and their applications in kidney disease. Nat Rev Nephrol 2024:10.1038/s41581-024-00886-2. [PMID: 39271761 DOI: 10.1038/s41581-024-00886-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2024] [Indexed: 09/15/2024]
Abstract
Genome-wide association studies (GWAS) have uncovered thousands of risk variants that individually have small effects on the risk of human diseases, including chronic kidney disease, type 2 diabetes, heart diseases and inflammatory disorders, but cumulatively explain a substantial fraction of disease risk, underscoring the complexity and pervasive polygenicity of common disorders. This complexity poses unique challenges to the clinical translation of GWAS findings. Polygenic scores combine small effects of individual GWAS risk variants across the genome to improve personalized risk prediction. Several polygenic scores have now been developed that exhibit sufficiently large effects to be considered clinically actionable. However, their clinical use is limited by their partial transferability across ancestries and a lack of validated models that combine polygenic, monogenic, family history and clinical risk factors. Moreover, prospective studies are still needed to demonstrate the clinical utility and cost-effectiveness of polygenic scores in clinical practice. Here, we discuss evolving methods for developing polygenic scores, best practices for validating and reporting their performance, and the study designs that will empower their clinical implementation. We specifically focus on the polygenic scores relevant to nephrology and other chronic, complex diseases and review their key limitations, necessary refinements and potential clinical applications.
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Affiliation(s)
- Atlas Khan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, NY, USA.
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2
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Cheng J, Meng C, Li J, Kong Z, Zhou A. Integrating polygenic risk scores in the prediction of gestational diabetes risk in China. Front Endocrinol (Lausanne) 2024; 15:1391296. [PMID: 39165511 PMCID: PMC11333217 DOI: 10.3389/fendo.2024.1391296] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Accepted: 07/12/2024] [Indexed: 08/22/2024] Open
Abstract
Background Polygenic risk scores (PRS) serve as valuable tools for connecting initial genetic discoveries with clinical applications in disease risk estimation. However, limited studies have explored the association between PRS and gestational diabetes mellitus (GDM), particularly in predicting GDM risk among Chinese populations. Aim To evaluate the relationship between PRS and GDM and explore the predictive capability of PRS for GDM risk in a Chinese population. Methods A prospective cohort study was conducted, which included 283 GDM and 2,258 non-GDM cases based on demographic information on pregnancies. GDM was diagnosed using the oral glucose tolerance test (OGTT) at 24-28 weeks. The strength of the association between PRS and GDM odds was assessed employing odds ratios (ORs) with 95% confidence intervals (CIs) derived from logistic regression. Receiver operating characteristic curves, net reclassification improvement (NRI), and integrated discrimination improvement (IDI) were employed to evaluate the improvement in prediction achieved by the new model. Results Women who developed GDM exhibited significantly higher PRS compared to control individuals (OR = 2.01, 95% CI = 1.33-3.07). The PRS value remained positively associated with fasting plasma glucose (FPG), 1-hour post-glucose load (1-h OGTT), and 2-hour post-glucose load (2-h OGTT) (all p < 0.05). The incorporation of PRS led to a statistically significant improvement in the area under the curve (0.71, 95% CI: 0.66-0.75, p = 0.024) and improved discrimination and classification (IDI: 0.007, 95% CI: 0.003-0.012, p < 0.001; NRI: 0.258, 95% CI: 0.135-0.382, p < 0.001). Conclusions This study highlights the increased odds of GDM associated with higher PRS values and modest improvements in predictive capability for GDM.
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Affiliation(s)
- Jiayi Cheng
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Chan Meng
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Junwei Li
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziwen Kong
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Aifen Zhou
- Department of Obstetrics, Wuhan Children’s Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- Institute of Maternal and Child Health, Wuhan Children’s Hospital (Wuhan Maternal and Child Health care Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Ma BM, Elefant N, Tedesco M, Bogyo K, Vena N, Murthy SK, Bheda SA, Yang S, Tomar N, Zhang JY, Husain SA, Mohan S, Kiryluk K, Rasouly HM, Gharavi AG. Developing a genetic testing panel for evaluation of morbidities in kidney transplant recipients. Kidney Int 2024; 106:115-125. [PMID: 38521406 PMCID: PMC11410071 DOI: 10.1016/j.kint.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/18/2024] [Accepted: 02/13/2024] [Indexed: 03/25/2024]
Abstract
Cardiovascular disease, infection, malignancy, and thromboembolism are major causes of morbidity and mortality in kidney transplant recipients (KTR). Prospectively identifying monogenic conditions associated with post-transplant complications may enable personalized management. Therefore, we developed a transplant morbidity panel (355 genes) associated with major post-transplant complications including cardiometabolic disorders, immunodeficiency, malignancy, and thrombophilia. This gene panel was then evaluated using exome sequencing data from 1590 KTR. Additionally, genes associated with monogenic kidney and genitourinary disorders along with American College of Medical Genetics (ACMG) secondary findings v3.2 were annotated. Altogether, diagnostic variants in 37 genes associated with Mendelian kidney and genitourinary disorders were detected in 9.9% (158/1590) of KTR; 25.9% (41/158) had not been clinically diagnosed. Moreover, the transplant morbidity gene panel detected diagnostic variants for 56 monogenic disorders in 9.1% KTRs (144/1590). Cardiovascular disease, malignancy, immunodeficiency, and thrombophilia variants were detected in 5.1% (81), 2.1% (34), 1.8% (29) and 0.2% (3) among 1590 KTRs, respectively. Concordant phenotypes were present in half of these cases. Reviewing implications for transplant care, these genetic findings would have allowed physicians to set specific risk factor targets in 6.3% (9/144), arrange intensive surveillance in 97.2% (140/144), utilize preventive measures in 13.2% (19/144), guide disease-specific therapy in 63.9% (92/144), initiate specialty referral in 90.3% (130/144) and alter immunosuppression in 56.9% (82/144). Thus, beyond diagnostic testing for kidney disorders, sequence annotation identified monogenic disorders associated with common post-transplant complications in 9.1% of KTR, with important clinical implications. Incorporating genetic diagnostics for transplant morbidities would enable personalized management in pre- and post-transplant care.
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Affiliation(s)
- Becky M Ma
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA; Division of Nephrology, Department of Medicine, Queen Mary Hospital, University of Hong Kong, Hong Kong, China
| | - Naama Elefant
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Martina Tedesco
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA; Department of Medical and Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, Brescia, Italy
| | - Kelsie Bogyo
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Natalie Vena
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Sarath K Murthy
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Shiraz A Bheda
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Sandy Yang
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Nikita Tomar
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Jun Y Zhang
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Syed Ali Husain
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Sumit Mohan
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA
| | - Krzysztof Kiryluk
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Hila Milo Rasouly
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA
| | - Ali G Gharavi
- Division of Nephrology, Department of Medicine, Vagelos College of Physicians & Surgeons, Columbia University, New York, New York, USA; Department of Medicine, Center for Precision Medicine and Genomics, Columbia University Vagelos College of Physicians and Surgeons, New York, New York, USA.
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Cornec-Le Gall E, Mallett AJ. Genomics in the kidney transplant clinic: the future standard of care? Kidney Int 2024; 106:18-20. [PMID: 38906652 DOI: 10.1016/j.kint.2024.05.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/06/2024] [Accepted: 05/08/2024] [Indexed: 06/23/2024]
Abstract
New evidence indicates potential benefit of genomics to illuminate nonkidney monogenic morbidity and mortality risk among kidney transplant recipients. This might be of direct relevance to an equivalent proportion of patients to those who harbor a monogenic kidney disease. Further evidence and replication are indicated, including a broadening potential range of monogenic and polygenic opportunities to improve clinical outcomes. Implementation will require such information, although it holds great promise.
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Affiliation(s)
- Emilie Cornec-Le Gall
- University of Brest, Inserm, Unité Mixte de Recherche (UMR) 1078, Génétique, Génomique fonctionnelle et Biotechnologies (GGB), Brest, France; Centre Hospitalier Universitaire (CHU) Brest, Service de Néphrologie, Centre de Référence Maladies Rénales Héréditaires de l'Enfant et de l'Adulte (MARHEA), Brest, France.
| | - Andrew J Mallett
- Department of Renal Medicine, Townsville University Hospital, Douglas, Queensland, Australia; College of Medicine and Dentistry, James Cook University, Douglas, Queensland, Australia; Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia.
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Afonso Mendes P, Macedo CP, Moreira S, Ferreira R. Deceased donor organ retrieval: impact on cardiovascular research. Eur Heart J 2024; 45:2029-2031. [PMID: 38285900 DOI: 10.1093/eurheartj/ehae033] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/31/2024] Open
Affiliation(s)
- Patrícia Afonso Mendes
- Clínica Universitária de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Praceta Professor Mota Pinto, 3004-561 Coimbra, Portugal
| | - Cristiane Pais Macedo
- Clínica Universitária de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Praceta Professor Mota Pinto, 3004-561 Coimbra, Portugal
| | - Sónia Moreira
- Clínica Universitária de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Praceta Professor Mota Pinto, 3004-561 Coimbra, Portugal
| | - Rogério Ferreira
- Clínica Universitária de Medicina Interna, Centro Hospitalar e Universitário de Coimbra, Praceta Professor Mota Pinto, 3004-561 Coimbra, Portugal
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Shaked O, Loza BL, Olthoff KM, Reddy KR, Keating BJ, Testa G, Asrani SK, Shaked A. Donor and recipient genetics: implications for the development of post-transplant diabetes mellitus. Am J Transplant 2024:S1600-6135(24)00342-3. [PMID: 38782187 DOI: 10.1016/j.ajt.2024.05.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 04/16/2024] [Accepted: 05/16/2024] [Indexed: 05/25/2024]
Abstract
Post-transplant diabetes mellitus (PTDM) is a prevalent complication of liver transplantation and is associated with cardiometabolic complications. We studied the consequences of genetic effects of liver donors and recipients on PTDM outcomes, focusing on the diverse genetic pathways related to insulin that play a role in the development of PTDM. 1115 liver transplant recipients without a pre-transplant diagnosis of type 2 diabetes mellitus (T2D) and their paired donors recruited from two transplant centers had polygenic risk scores (PRS) for T2D, insulin secretion, and insulin sensitivity calculated. Among recipients in the highest T2D-PRS quintile, donor T2D-PRS did not contribute significantly to PTDM. However, in recipients with the lowest T2D genetic risk, donor livers with the highest T2D-PRS contributed to the development of PTDM (OR (95% CI)=3.79 (1.10-13.1), p=0.035). Recipient risk was linked to factors associated with insulin secretion (OR (95% CI) = 0.85 (0.74-0.98), p=0.02), while donor livers contributed to PTDM via gene pathways involved in insulin sensitivity (OR (95% CI)=0.86 (0.75-0.99), p=0.03). Recipient and donor PRS independently and collectively serve as predictors of PTDM onset. The genetically influenced biological pathways in recipients primarily pertain to insulin secretion, whereas the genetic makeup of donors exerts an influence on insulin sensitivity.
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Affiliation(s)
- Oren Shaked
- Penn Transplant Institute, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Bao-Li Loza
- Penn Transplant Institute, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Kim M Olthoff
- Penn Transplant Institute, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K Rajender Reddy
- Penn Transplant Institute, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Brendan J Keating
- Penn Transplant Institute, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | - Abraham Shaked
- Penn Transplant Institute, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
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Abdelrahman Z, Maxwell AP, McKnight AJ. Genetic and Epigenetic Associations with Post-Transplant Diabetes Mellitus. Genes (Basel) 2024; 15:503. [PMID: 38674437 PMCID: PMC11050138 DOI: 10.3390/genes15040503] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 04/10/2024] [Accepted: 04/12/2024] [Indexed: 04/28/2024] Open
Abstract
Post-transplant diabetes mellitus (PTDM) is a common complication of solid organ transplantation. PTDM prevalence varies due to different diabetes definitions. Consensus guidelines for the diagnosis of PTDM have been published based on random blood glucose levels, glycated hemoglobin (HbA1c), and oral glucose tolerance test (OGTT). The task of diagnosing PTDM continues to pose challenges, given the potential for diabetes to manifest at different time points after transplantation, thus demanding constant clinical vigilance and repeated testing. Interpreting HbA1c levels can be challenging after renal transplantation. Pre-transplant risk factors for PTDM include obesity, sedentary lifestyle, family history of diabetes, ethnicity (e.g., African-Caribbean or South Asian ancestry), and genetic risk factors. Risk factors for PTDM include immunosuppressive drugs, weight gain, hepatitis C, and cytomegalovirus infection. There is also emerging evidence that genetic and epigenetic variation in the organ transplant recipient may influence the risk of developing PTDM. This review outlines many known risk factors for PTDM and details some of the pathways, genetic variants, and epigenetic features associated with PTDM. Improved understanding of established and emerging risk factors may help identify people at risk of developing PTDM and may reduce the risk of developing PTDM or improve the management of this complication of organ transplantation.
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Affiliation(s)
- Zeinab Abdelrahman
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK; (Z.A.); (A.P.M.)
| | - Alexander Peter Maxwell
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK; (Z.A.); (A.P.M.)
- Regional Nephrology Unit, Belfast City Hospital, Belfast BT9 7AB, UK
| | - Amy Jayne McKnight
- Centre for Public Health, Queen’s University of Belfast, Belfast BT12 6BA, UK; (Z.A.); (A.P.M.)
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Kuang W, Raven LM, Muir CA. Early post-transplant hyperglycemia and post-transplant diabetes mellitus following heart transplantation. Expert Rev Endocrinol Metab 2024; 19:129-140. [PMID: 38251642 DOI: 10.1080/17446651.2024.2307011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 01/15/2024] [Indexed: 01/23/2024]
Abstract
INTRODUCTION Heart transplantation is an important treatment for end-stage heart failure. Early post-transplant hyperglycemia (EPTH) and post-transplant diabetes mellitus (PTDM) are common following heart transplantation and are associated with increased morbidity and mortality. AREAS COVERED This review summarizes the clinical characteristics, diagnosis, and treatment of EPTH and PTDM in cardiac transplant patients, incorporating findings from non-cardiac solid organ transplant studies where relevant due to limited heart-specific research. EXPERT OPINION EPTH following heart transplantation is common yet understudied and is associated with the later development of PTDM. PTDM is associated with adverse outcomes including infection, renal dysfunction, microvascular disease, and an increased risk of re-transplantation and mortality. Risk factors for EPTH include the post-operative immunosuppression regimen, recipient and donor age, body mass index, infections, and chronic inflammation. Early insulin treatment is recommended for EPTH, whereas PTDM management is varied and includes lifestyle modification, anti-glycemic agents, and insulin. Given the emerging evidence on the transplant benefits associated with effective glucose control, and the cardioprotective potential of newer anti-glycemic agents, further focus on the management of EPTH and PTDM within heart transplant recipients is imperative.
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Affiliation(s)
- William Kuang
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
| | - Lisa M Raven
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
- Department of Endocrinology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
| | - Christopher A Muir
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Kensington, NSW, Australia
- Department of Endocrinology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
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Jefferis J, Mallett AJ. Exploring the impact and utility of genomic sequencing in established CKD. Clin Kidney J 2024; 17:sfae043. [PMID: 38464959 PMCID: PMC10921391 DOI: 10.1093/ckj/sfae043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Indexed: 03/12/2024] Open
Abstract
Clinical genetics is increasingly recognized as an important area within nephrology care. Clinicians require awareness of genetic kidney disease to recognize clinical phenotypes, consider use of genomics to aid diagnosis, and inform treatment decisions. Understanding the broad spectrum of clinical phenotypes and principles of genomic sequencing is becoming increasingly required in clinical nephrology, with nephrologists requiring education and support to achieve meaningful patient outcomes. Establishment of effective clinical resources, multi-disciplinary teams and education is important to increase application of genomics in clinical care, for the benefit of patients and their families. Novel applications of genomics in chronic kidney disease include pharmacogenomics and clinical translation of polygenic risk scores. This review explores established and emerging impacts and utility of genomics in kidney disease.
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Affiliation(s)
- Julia Jefferis
- Genetic Health Queensland, Royal Brisbane and Women's Hospital, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Kidney Health Service, Royal Brisbane and Women's Hospital, Brisbane, Australia
| | - Andrew J Mallett
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Department of Renal Medicine, Townsville University Hospital, Douglas, Australia
- College of Medicine and Dentistry, James Cook University, Douglas, Australia
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Sharif A, Chakkera H, de Vries APJ, Eller K, Guthoff M, Haller MC, Hornum M, Nordheim E, Kautzky-Willer A, Krebs M, Kukla A, Kurnikowski A, Schwaiger E, Montero N, Pascual J, Jenssen TG, Porrini E, Hecking M. International consensus on post-transplantation diabetes mellitus. Nephrol Dial Transplant 2024; 39:531-549. [PMID: 38171510 PMCID: PMC11024828 DOI: 10.1093/ndt/gfad258] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2023] [Indexed: 01/05/2024] Open
Abstract
Post-transplantation diabetes mellitus (PTDM) remains a leading complication after solid organ transplantation. Previous international PTDM consensus meetings in 2003 and 2013 provided standardized frameworks to reduce heterogeneity in diagnosis, risk stratification and management. However, the last decade has seen significant advancements in our PTDM knowledge complemented by rapidly changing treatment algorithms for management of diabetes in the general population. In view of these developments, and to ensure reduced variation in clinical practice, a 3rd international PTDM Consensus Meeting was planned and held from 6-8 May 2022 in Vienna, Austria involving global delegates with PTDM expertise to update the previous reports. This update includes opinion statements concerning optimal diagnostic tools, recognition of prediabetes (impaired fasting glucose and/or impaired glucose tolerance), new mechanistic insights, immunosuppression modification, evidence-based strategies to prevent PTDM, treatment hierarchy for incorporating novel glucose-lowering agents and suggestions for the future direction of PTDM research to address unmet needs. Due to the paucity of good quality evidence, consensus meeting participants agreed that making GRADE (Grading of Recommendations, Assessment, Development, and Evaluations) recommendations would be flawed. Although kidney-allograft centric, we suggest that these opinion statements can be appraised by the transplantation community for implementation across different solid organ transplant cohorts. Acknowledging the paucity of published literature, this report reflects consensus expert opinion. Attaining evidence is desirable to ensure establishment of optimized care for any solid organ transplant recipient at risk of, or who develops, PTDM as we strive to improve long-term outcomes.
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Affiliation(s)
- Adnan Sharif
- Department of Nephrology and Transplantation, University Hospitals Birmingham, Birmingham, United Kingdom
- Institute of Immunology and Immunotherapy, University of Birmingham, Birmingham, United Kingdom
| | - Harini Chakkera
- Division of Nephrology and Hypertension, Mayo Clinic, Scottsdale, AZ, United States of America
| | - Aiko P J de Vries
- Leiden Transplant Center, Leiden University Medical Center, Leiden, The Netherlands
- Department of Nephrology, Leiden University Medical Center, Leiden, The Netherlands
| | - Kathrin Eller
- Division of Nephrology, Department of Internal Medicine, Medical University of Graz, Graz Austria
| | - Martina Guthoff
- Department of Diabetology, Endocrinology, Nephrology, University of Tübingen, Tübingen, Germany
| | - Maria C Haller
- Ordensklinikum Linz, Elisabethinen Hospital, Department of Medicine III, Nephrology, Hypertension, Transplantation, Rheumatology, Geriatrics, Linz, Austria
- Medical University of Vienna, CeMSIIS, Section for Clinical Biometrics, Vienna, Austria
| | - Mads Hornum
- Department of Nephrology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Espen Nordheim
- Department of Transplantation Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Nydalen, Norway
- Department of Nephrology, Oslo University Hospital-Ullevål, Oslo, Nydalen, Norway
| | - Alexandra Kautzky-Willer
- Department of Internal Medicine III, Clinical Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria
| | - Michael Krebs
- Department of Internal Medicine III, Clinical Division of Endocrinology and Metabolism, Medical University of Vienna, Vienna, Austria
| | - Aleksandra Kukla
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN, United States of America
- William J. von Liebig Center for Transplantation and Clinical Regeneration, Mayo Clinic, Rochester, MN, United States of America
| | - Amelie Kurnikowski
- Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria
| | - Elisabeth Schwaiger
- Department of Internal Medicine, Brothers of Saint John of God Eisenstadt, Eisenstadt, Austria
| | - Nuria Montero
- Nephrology Department, Hospital Universitari de Bellvitge, L’Hospitalet de Llobregat, Barcelona, Spain Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, University of Barcelona, Barcelona Spain
| | - Julio Pascual
- Institute Mar for Medical Research-IMIM, Barcelona,Spain
- Department of Nephrology, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Trond G Jenssen
- Department of Transplantation Medicine, Oslo University Hospital, Rikshospitalet, Oslo, Nydalen, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Esteban Porrini
- Instituto de Tecnologías Biomédicas (ITB), University of La Laguna, Research Unit Department, Hospital Universitario de Canarias, Tenerife, Spain
| | - Manfred Hecking
- Department of Internal Medicine III, Clinical Division of Nephrology and Dialysis, Medical University of Vienna, Vienna, Austria
- Center for Public Health, Department of Epidemiology, Medical University of Vienna, Vienna, Austria
- Kuratorium for Dialysis and Kidney Transplantation (KfH), Neu-Isenburg, Germany
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11
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Liu Y, Zheng J, He Q, Zhang H, Wen P, Wen P, Ge J, Yang Y, Zhang T, Wang R. Impact of varied immunosuppressive agents and posttransplant diabetes mellitus on prognosis among diverse transplant recipients (Experimental studies). Int J Surg 2024; 110:01279778-990000000-01056. [PMID: 38349011 PMCID: PMC11020014 DOI: 10.1097/js9.0000000000001135] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 01/24/2024] [Indexed: 04/18/2024]
Abstract
The success of solid organ transplantation (SOT) and the use of immunosuppressive agents offer hope to patients with end-stage diseases. However, the impact of posttransplant diabetes mellitus (PTDM) on SOT patients has become increasingly evident. In our study, we utilized the Scientific Registry of Transplant Recipients (SRTR) database to investigate the association between PTDM and patient survival in various types of organ transplantations, including liver, kidney, intestinal, heart, lung, and combined heart-lung transplantations (all P<0.001). Our findings revealed a negative effect of PTDM on the survival of these patients. Furthermore, we examined the effects of both generic and innovator immunosuppressive agents on the development of PTDM and the overall survival of different SOT populations. Interestingly, the results were inconsistent, indicating that the impact of these agents may vary depending on the specific type of transplantation and patient population. Overall, our study provides a comprehensive and systematic assessment of the effects of different immunosuppressive agents on prognosis, as well as the impact of PTDM on the survival of patients undergoing various types of SOT. These findings emphasize the need for further research and highlight the importance of optimizing immunosuppressive regimens and managing PTDM in SOT patients to improve their long-term outcomes.
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Affiliation(s)
- Yuan Liu
- Department of Liver Transplantation, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jinxin Zheng
- School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai, China
| | - Qining He
- Department of Liver Transplantation, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haijiao Zhang
- Huadong Hospital Affiliated to Fudan University, Shanghai, China
| | - Peizhen Wen
- Organ Transplantation Institute of Xiamen University, Fujian Provincial Key Laboratory of Organ and Tissue Regeneration, School of Medicine, Xiamen University, Xiamen, China
| | - Peihao Wen
- Department of Hepatobiliary and Pancreatic Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Jifu Ge
- Department of Kidney Transplantation, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yang Yang
- School of Public Health, Imperial College London, South Kensington Campus, London SW72AZ, United Kingdom
| | - Tao Zhang
- Department of Kidney Transplantation, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China
| | - Rangrang Wang
- Huadong Hospital Affiliated to Fudan University, Shanghai, China
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12
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dos Santos Q, Leung P, Thorball CW, Ledergerber B, Fellay J, MacPherson CR, Hornum M, Terrones-Campos C, Rasmussen A, Gustafsson F, Perch M, Sørensen SS, Ekenberg C, Lundgren JD, Feldt‐Rasmussen B, Reekie J. Predicting type 2 diabetes risk before and after solid organ transplantation using polygenic scores in a Danish cohort. Front Mol Biosci 2023; 10:1282412. [PMID: 38131015 PMCID: PMC10733470 DOI: 10.3389/fmolb.2023.1282412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/16/2023] [Indexed: 12/23/2023] Open
Abstract
Type 2 diabetes mellitus (T2DM) can be multifactorial where both genetics and environmental factors play a role. We aimed to investigate the use of polygenic risk scores (PRS) in the prediction of pre-transplant T2DM and post-transplant diabetes mellitus (PTDM) among solid organ transplant (SOT) patients. Using non-genetic risk scores alone; and the combination with PRS, separate logistic regression models were built and compared using receiver operator curves. Patients were assessed pre-transplant and in three post-transplant periods: 0-45, 46-365 and >365 days. A higher PRS was significantly associated with increased odds of pre-transplant T2DM. However, no improvement was observed for pre-transplant T2DM prediction when comparing PRS combined with non-genetic risk scores to using non-genetic risk scores alone. This was also true for predictions of PTDM in all three post-transplant periods. This study demonstrated that polygenic risk was only associated with the risk of T2DM among SOT recipients prior to transplant and not for PTDM. Combining PRS with a clinical model of non-genetic risk scores did not significantly improve the predictive ability, indicating its limited clinical utility in identifying patients at high risk for T2DM before transplantation, suggesting that non-genetic or different genetic factors may contribute to PTDM.
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Affiliation(s)
- Quenia dos Santos
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Preston Leung
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Christian W. Thorball
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Bruno Ledergerber
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jacques Fellay
- Precision Medicine Unit, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
- School of Life Sciences, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Cameron R. MacPherson
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
- Institut Roche, Boulogne-Billancourt, France
| | - Mads Hornum
- Department of Nephrology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Cynthia Terrones-Campos
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Allan Rasmussen
- Department of Surgical Gastroenterology, Rigshospitalet, Copenhagen, Denmark
| | - Finn Gustafsson
- Department of Cardiology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Michael Perch
- Department of Cardiology, Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren S. Sørensen
- Department of Nephrology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Christina Ekenberg
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Jens D. Lundgren
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
| | - Bo Feldt‐Rasmussen
- Department of Nephrology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Joanne Reekie
- Centre of Excellence for Health, Institut Roche, Immunity and Infections (CHIP), Rigshospitalet, University of Copenhagen, Copenhagen, Denmark
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13
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Scarpa J. Improving liver transplant outcomes with transplant-omics and network biology. Curr Opin Organ Transplant 2023; 28:412-418. [PMID: 37706301 DOI: 10.1097/mot.0000000000001100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
PURPOSE OF REVIEW Molecular omics data is increasingly ubiquitous throughout medicine. In organ transplantation, recent large-scale research efforts are generating the 'transplant-ome' - the entire set of molecular omics data, including the genome, transcriptome, proteome, and metabolome. Importantly, early studies in anesthesiology have demonstrated how perioperative interventions alter molecular profiles in various patient populations. The next step for anesthesiologists and intensivists will be to tailor perioperative care to the transplant-ome of individual liver transplant patients. RECENT FINDINGS In liver transplant patients, elements of the transplant-ome predict complications and point to novel interventions. Importantly, molecular profiles of both the donor organ and recipient contribute to this risk, and interventions like normothermic machine perfusion influence these profiles. As we can now measure various omics molecules simultaneously, we can begin to understand how these molecules interact to form molecular networks and emerging technologies offer noninvasive and continuous ways to measure these networks throughout the perioperative period. Molecules that regulate these networks are likely mediators of complications and actionable clinical targets throughout the perioperative period. SUMMARY The transplant-ome can be used to tailor perioperative care to the individual liver transplant patient. Monitoring molecular networks continuously and noninvasively would provide new opportunities to optimize perioperative management.
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Affiliation(s)
- Joseph Scarpa
- Department of Anesthesiology, Weill Cornell Medicine, New York, New York, USA
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14
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Kipp A, Marti HP, Babickova J, Nakken S, Leh S, Halden TAS, Jenssen T, Vikse BE, Åsberg A, Spagnoli G, Furriol J. Glomerular proteomic profiling reveals early differences between preexisting and de novo type 2 diabetes in human renal allografts. BMC Nephrol 2023; 24:254. [PMID: 37626301 PMCID: PMC10464146 DOI: 10.1186/s12882-023-03294-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Accepted: 08/08/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND Diabetes mellitus (DM), either preexisting or developing after transplantation, remains a crucial clinical problem in kidney transplantation. To obtain insights into the molecular mechanisms underlying PTDM development and early glomerular damage before the development of histologically visible diabetic kidney disease, we comparatively analysed the proteome of histologically normal glomeruli from patients with PTDM and normoglycaemic (NG) transplant recipients. Moreover, to assess specificities inherent in PTDM, we also comparatively evaluated glomerular proteomes from transplant recipients with preexisting type 2 DM (T2DM). METHODS Protocol biopsies were obtained from adult NG, PTDM and T2DM patients one year after kidney transplantation. Biopsies were formalin-fixed and embedded in paraffin, and glomerular cross-sections were microdissected. A total of 4 NG, 7 PTDM and 6 T2DM kidney biopsies were used for the analysis. The proteome was determined by liquid chromatography-tandem mass spectrometry. Relative differences in protein abundance and significantly dysregulated pathways were analysed. RESULTS Proteins involved in cell adhesion, immune response, leukocyte transendothelial filtration, and cell localization and organization were less abundant in glomeruli from PTDM patients than in those from NG patients, and proteins associated with supramolecular fibre organization and protein-containing complex binding were more abundant in PTDM patients. Overall, proteins related to adherens and tight junctions and those related to the immune system, including leukocyte transendothelial migration, were more abundant in NG patients than in transplanted patients with DM, irrespective of the timing of its development. However, proteins included in cell‒cell junctions and adhesion, insulin resistance, and vesicle-mediated transport were all less abundant in PTDM patients than in T2DM patients. CONCLUSIONS The glomerular proteome profile differentiates PTDM from NG and T2DM, suggesting specific pathogenetic mechanisms. Further studies are warranted to validate these results, potentially leading to an improved understanding of PTDM kidney transplant pathophysiology and to the identification of novel biomarkers.
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Affiliation(s)
- Anne Kipp
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Hans-Peter Marti
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Medicine, Haukeland University Hospital, Bergen, Norway
| | - Janka Babickova
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Institute of Molecular Biomedicine, Faculty of Medicine, Comenius University, Bratislava, Slovakia
| | - Sigrid Nakken
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Sabine Leh
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
| | - Thea A S Halden
- Department of Transplantation Medicine, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway
| | - Trond Jenssen
- Department of Transplantation Medicine, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway
- Metabolic and Renal Research Group, Faculty of Health Sciences UiT, The Arctic University of Norway, Tromsø, Norway
| | - Bjørn Egil Vikse
- Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Department of Medicine, Haugesund Hospital, Haugesund, Norway
| | - Anders Åsberg
- Department of Transplantation Medicine, Oslo University Hospital, Rikshospitalet and University of Oslo, Oslo, Norway
- Department of Pharmacy, University of Oslo, Oslo, Norway
| | - Giulio Spagnoli
- Institute of Translational Pharmacology, National Research Council, Rome, Italy
| | - Jessica Furriol
- Department of Clinical Medicine, University of Bergen, Bergen, Norway.
- Department of Medicine, Haukeland University Hospital, Bergen, Norway.
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15
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Li JSY, Raghubar AM, Matigian NA, Ng MSY, Rogers NM, Mallett AJ. The Utility of Spatial Transcriptomics for Solid Organ Transplantation. Transplantation 2023; 107:1463-1471. [PMID: 36584371 DOI: 10.1097/tp.0000000000004466] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Spatial transcriptomics (ST) measures and maps transcripts within intact tissue sections, allowing the visualization of gene activity within the spatial organization of complex biological systems. This review outlines advances in genomic sequencing technologies focusing on in situ sequencing-based ST, including applications in transplant and relevant nontransplant settings. We describe the experimental and analytical pipelines that underpin the current generation of spatial technologies. This context is important for understanding the potential role ST may play in expanding our knowledge, including in organ transplantation, and the important caveats/limitations when interpreting the vast data output generated by such methodological platforms.
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Affiliation(s)
- Jennifer S Y Li
- Centre for Transplant and Renal Research, Westmead Institute for Medical Research, Westmead, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Arti M Raghubar
- Kidney Health Service, Royal Brisbane and Women's Hospital, QLD, Australia
- Conjoint Internal Medicine Laboratory, Pathology Queensland, Health Support Queensland, QLD, Australia
- Department of Anatomical Pathology, Pathology Queensland, Health Support Queensland, QLD, Australia
- Faculty of Medicine, University of Queensland, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, QLD, Australia
| | - Nicholas A Matigian
- QCIF Facility for Advanced Bioinformatics, The University of Queensland, QLD, Australia
| | - Monica S Y Ng
- Kidney Health Service, Royal Brisbane and Women's Hospital, QLD, Australia
- Conjoint Internal Medicine Laboratory, Pathology Queensland, Health Support Queensland, QLD, Australia
- Faculty of Medicine, University of Queensland, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, QLD, Australia
- Nephrology Department, Princess Alexandra Hospital, QLD, Australia
| | - Natasha M Rogers
- Centre for Transplant and Renal Research, Westmead Institute for Medical Research, Westmead, NSW, Australia
- Sydney Medical School, University of Sydney, Sydney, NSW, Australia
- Department of Renal Medicine, Westmead Hospital, Westmead, NSW, Australia
| | - Andrew J Mallett
- Faculty of Medicine, University of Queensland, QLD, Australia
- Institute for Molecular Bioscience, University of Queensland, QLD, Australia
- College of Medicine and Dentistry, James Cook University, QLD, Australia
- Department of Renal Medicine, Townsville University Hospital, QLD, Australia
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16
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Lin X, Yang Y, Fuh-Ngwa V, Yin X, Simpson-Yap S, van der Mei I, Broadley SA, Ponsonby AL, Burdon KP, Taylor BV, Zhou Y. Genetically determined serum serine level has a novel causal effect on multiple sclerosis risk and predicts disability progression. J Neurol Neurosurg Psychiatry 2023:jnnp-2022-330259. [PMID: 36732044 DOI: 10.1136/jnnp-2022-330259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 01/19/2023] [Indexed: 02/04/2023]
Abstract
BACKGROUND There are currently no specific biomarkers for multiple sclerosis (MS). Identifying robust biomarkers for MS is crucial to improve disease diagnosis and management. METHODS This study first used six Mendelian randomisation methods to assess causal relationship of 174 metabolites with MS, incorporating data from European-ancestry metabolomics (n=8569-86 507) and MS (n=14 802 MS cases, 26 703 controls) genomewide association studies. Genetic scores for identified causal metabolite(s) were then computed to predict MS disability progression in an independent longitudinal cohort (AusLong study) of 203 MS cases with up to 15-year follow-up. RESULTS We found a novel genetic causal effect of serine on MS onset (OR=1.67, 95% CI 1.51 to 1.84, p=1.73×10-20), such that individuals whose serine level is 1 SD above the population mean will have 1.67 times the risk of developing MS. This is robust across all sensitivity methods (OR ranges from 1.49 to 1.67). In an independent longitudinal MS cohort, we then constructed time-dynamic and time-fixed genetic scores based on serine genetic instrument single-nucleotide polymorphisms, where higher scores for raised serum serine level were associated with increased risk of disability worsening, especially in the time-dynamic model (RR=1.25, 95% CI 1.10 to 1.42, p=7.52×10-4). CONCLUSIONS These findings support investigating serine as an important candidate biomarker for MS onset and disability progression.
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Affiliation(s)
- Xin Lin
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Yuanhao Yang
- Mater Research Institute, Translational Research Institute, Woolloongabba, Queensland, Australia.,Institute for Molecular Bioscience, The University of Queensland, St Lucia, Queensland, Australia
| | - Valery Fuh-Ngwa
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Xianyong Yin
- Department of Biostatistics, University of Michigan, Ann Arbor, Michigan, USA
| | - Steve Simpson-Yap
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia.,Neuroepidemiology Unit, The University of Melbourne School of Population and Global Health, Melbourne, Victoria, Australia
| | - Ingrid van der Mei
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Simon A Broadley
- School of Medicine, Griffith University, Gold Coast, Queensland, Australia
| | - Anne-Louise Ponsonby
- Murdoch Children's Research Institute, Royal Children's Hospital, University of Melbourne, Parkville, Victoria, Australia.,Neuroepidemiology Group, The Florey Institute of Neuroscience and Mental Health, Parkville, Victoria, Australia
| | | | - Kathryn P Burdon
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Bruce V Taylor
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Yuan Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
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17
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Meyer H, Maurer MH, Staufer K, Berzigotti A, Banz V. Regression of Graft Steatosis After Liver Transplantation. Prog Transplant 2022; 32:321-326. [PMID: 36047000 DOI: 10.1177/15269248221122868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Introduction: Liver grafts with limited steatosis are currently used for liver transplantation, but the natural history of graft steatosis is not well known. Project Aims or Questions: This program evaluation aimed at assessing changes of steatosis after liver transplantation. Design: A retrospective chart review was performed assessing presence and severity of steatosis in the liver explant and in time zero donor graft biopsies carried out at the time-point of liver transplantation on histopathology and on imaging one year thereafter in 30 well characterized patients. Results: Ten patients (33%) showed steatosis on explant. Time zero biopsy revealed steatosis in 18 grafts (60%) and no steatosis in 12 (40%). One year after transplantation, 8 patients (27%) had steatosis and 22 patients (63%) had none. Fourteen patients (47%) showed changes in steatosis: 12 showed resolution and 2 showed de novo steatosis. Explant macrovesicular steatosis was associated with presence of steatosis 1 year after transplantation (binary logistic regression model, p = 0.014), but not macrovesicular steatosis in the donor graft at time-point of transplantation. Conclusion: Resolution of graft steatosis was frequent. Presence of steatosis in the recipient's liver, but not graft steatosis, was a risk factor for steatosis 1 year after transplantation. Factors related to the recipient seem to prevail over donor-related factors in determining the persistence or de novo appearance of steatosis after liver transplantation.
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Affiliation(s)
- Helene Meyer
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital and University of Bern, Switzerland
| | - Martin H Maurer
- Department of Radiology, Inselspital, Bern University Hospital and University of Bern, Switzerland.,Institute for Diagnostic and Interventional Radiology, University Oldenburg, Oldenburg, Germany
| | - Katharina Staufer
- Division of Transplantation, Department of Surgery, 27271Medical University of Vienna, Vienna, Austria
| | - Annalisa Berzigotti
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital and University of Bern, Switzerland
| | - Vanessa Banz
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital and University of Bern, Switzerland.,The members of the Swiss Transplant Cohort Study are: Patrizia Amico, Andres Axel, John-David Aubert, Vanessa Banz, Beckmann Sonja, Guido Beldi, Christoph Berger, Ekaterine Berishvili, Annalisa Berzigotti, Isabelle Binet, Pierre-Yves Bochud, Sanda Branca, Heiner Bucher, Thierry Carrel, Emmanuelle Catana, Yves Chalandon, Sabina De Geest, Olivier De Rougemont, Sophie De Seigneux, Michael Dickenmann, Joëlle Lynn Dreifuss, Michel Duchosal, Thomas Fehr, Sylvie Ferrari-Lacraz, Christian Garzoni, Paola Gasche Soccal, Christophe Gaudet, Déla Golshayan, Nicolas Goossens, Karine Hadaya, Jörg Halter, Dominik Heim, Christoph Hess, Sven Hillinger, Hans Hirsch, Patricia Hirt, Günther Hofbauer, Uyen Huynh-Do, Franz Immer, Michael Koller (Head of the data center), Mirjam Laager, Bettina Laesser, Frédéric Lamoth, Roger Lehmann, Alexander Leichtle, Christian Lovis, Oriol Manuel, Hans-Peter Marti, Pierre Yves Martin, Michele Martinelli, Valérie McLin, Katell Mellac, Aurélia Merçay, Karin Mettler, Nicolas Mueller (Chairman Scientific Committee), Antonia Müller, Ulrike Müller-Arndt, Beat Müllhaupt, Mirjam Nägeli, Graziano Oldani, Manuel Pascual (Executive office), Klara Posfay-Barbe, Juliane Rick, Anne Rosselet, Simona Rossi, Silvia Rothlin, Frank Ruschitzka, Thomas Schachtner, Urs Schanz, Stefan Schaub, Aurelia Schnyder, Macé Schuurmans, Simon Schwab, Thierry Sengstag, Federico Simonetta, Susanne Stampf, Jürg Steiger (Head, Excecutive office), Guido Stirniman, Ueli Stürzinger, Christian Van Delden (Executive office), Jean-Pierre Venetz, Jean Villard, Julien Vionnet, Madeleine Wick (STCS coordinator), Markus Wilhlem, Patrick Yerly
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- The members of the Swiss Transplant Cohort Study are: Patrizia Amico, Andres Axel, John-David Aubert, Vanessa Banz, Beckmann Sonja, Guido Beldi, Christoph Berger, Ekaterine Berishvili, Annalisa Berzigotti, Isabelle Binet, Pierre-Yves Bochud, Sanda Branca, Heiner Bucher, Thierry Carrel, Emmanuelle Catana, Yves Chalandon, Sabina De Geest, Olivier De Rougemont, Sophie De Seigneux, Michael Dickenmann, Joëlle Lynn Dreifuss, Michel Duchosal, Thomas Fehr, Sylvie Ferrari-Lacraz, Christian Garzoni, Paola Gasche Soccal, Christophe Gaudet, Déla Golshayan, Nicolas Goossens, Karine Hadaya, Jörg Halter, Dominik Heim, Christoph Hess, Sven Hillinger, Hans Hirsch, Patricia Hirt, Günther Hofbauer, Uyen Huynh-Do, Franz Immer, Michael Koller (Head of the data center), Mirjam Laager, Bettina Laesser, Frédéric Lamoth, Roger Lehmann, Alexander Leichtle, Christian Lovis, Oriol Manuel, Hans-Peter Marti, Pierre Yves Martin, Michele Martinelli, Valérie McLin, Katell Mellac, Aurélia Merçay, Karin Mettler, Nicolas Mueller (Chairman Scientific Committee), Antonia Müller, Ulrike Müller-Arndt, Beat Müllhaupt, Mirjam Nägeli, Graziano Oldani, Manuel Pascual (Executive office), Klara Posfay-Barbe, Juliane Rick, Anne Rosselet, Simona Rossi, Silvia Rothlin, Frank Ruschitzka, Thomas Schachtner, Urs Schanz, Stefan Schaub, Aurelia Schnyder, Macé Schuurmans, Simon Schwab, Thierry Sengstag, Federico Simonetta, Susanne Stampf, Jürg Steiger (Head, Excecutive office), Guido Stirniman, Ueli Stürzinger, Christian Van Delden (Executive office), Jean-Pierre Venetz, Jean Villard, Julien Vionnet, Madeleine Wick (STCS coordinator), Markus Wilhlem, Patrick Yerly
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18
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Shaked A, Loza B, Olthoff K, Keating B. Testing the application of polygenic risk scores in the transplant setting - Relevance for precision medicine. Clin Transl Med 2022; 12:e1009. [PMID: 35968930 PMCID: PMC9377149 DOI: 10.1002/ctm2.1009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Accepted: 07/26/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Abraham Shaked
- Department of SurgeryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Bao‐Li Loza
- Department of SurgeryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Kim Olthoff
- Department of SurgeryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Brendan Keating
- Department of SurgeryUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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