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Bassani S, Chrast J, Ambrosini G, Voisin N, Schütz F, Brusco A, Sirchia F, Turban L, Schubert S, Abou Jamra R, Schlump JU, DeMille D, Bayrak-Toydemir P, Nelson GR, Wong KN, Duncan L, Mosera M, Gilissen C, Vissers LELM, Pfundt R, Kersseboom R, Yttervik H, Hansen GÅM, Smeland MF, Butler KM, Lyons MJ, Carvalho CMB, Zhang C, Lupski JR, Potocki L, Flores-Gallegos L, Morales-Toquero R, Petit F, Yalcin B, Tuttle A, Elloumi HZ, McCormick L, Kukolich M, Klaas O, Horvath J, Scala M, Iacomino M, Operto F, Zara F, Writzl K, Maver A, Haanpää MK, Pohjola P, Arikka H, Kievit AJA, Calandrini C, Iseli C, Guex N, Reymond A. Variant-specific pathophysiological mechanisms of AFF3 differently influence transcriptome profiles. Genome Med 2024; 16:72. [PMID: 38811945 PMCID: PMC11137988 DOI: 10.1186/s13073-024-01339-y] [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: 12/12/2023] [Accepted: 04/19/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND We previously described the KINSSHIP syndrome, an autosomal dominant disorder associated with intellectual disability (ID), mesomelic dysplasia and horseshoe kidney, caused by de novo variants in the degron of AFF3. Mouse knock-ins and overexpression in zebrafish provided evidence for a dominant-negative mode of action, wherein an increased level of AFF3 resulted in pathological effects. METHODS Evolutionary constraints suggest that other modes-of-inheritance could be at play. We challenged this hypothesis by screening ID cohorts for individuals with predicted-to-be damaging variants in AFF3. We used both animal and cellular models to assess the deleteriousness of the identified variants. RESULTS We identified an individual with a KINSSHIP-like phenotype carrying a de novo partial duplication of AFF3 further strengthening the hypothesis that an increased level of AFF3 is pathological. We also detected seventeen individuals displaying a milder syndrome with either heterozygous Loss-of-Function (LoF) or biallelic missense variants in AFF3. Consistent with semi-dominance, we discovered three patients with homozygous LoF and one compound heterozygote for a LoF and a missense variant, who presented more severe phenotypes than their heterozygous parents. Matching zebrafish knockdowns exhibit neurological defects that could be rescued by expressing human AFF3 mRNA, confirming their association with the ablation of aff3. Conversely, some of the human AFF3 mRNAs carrying missense variants identified in affected individuals did not rescue these phenotypes. Overexpression of mutated AFF3 mRNAs in zebrafish embryos produced a significant increase of abnormal larvae compared to wild-type overexpression further demonstrating deleteriousness. To further assess the effect of AFF3 variation, we profiled the transcriptome of fibroblasts from affected individuals and engineered isogenic cells harboring + / + , KINSSHIP/KINSSHIP, LoF/ + , LoF/LoF or KINSSHIP/LoF AFF3 genotypes. The expression of more than a third of the AFF3 bound loci is modified in either the KINSSHIP/KINSSHIP or the LoF/LoF lines. While the same pathways are affected, only about one third of the differentially expressed genes are common to the homozygote datasets, indicating that AFF3 LoF and KINSSHIP variants largely modulate transcriptomes differently, e.g. the DNA repair pathway displayed opposite modulation. CONCLUSIONS Our results and the high pleiotropy shown by variation at this locus suggest that minute changes in AFF3 function are deleterious.
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Affiliation(s)
- Sissy Bassani
- Center for Integrative Genomics, University of Lausanne, Genopode Building, Lausanne, CH, 1015, Switzerland
- Present address: Institute of Medical Genetics, University of Zurich, Zurich, Switzerland
| | - Jacqueline Chrast
- Center for Integrative Genomics, University of Lausanne, Genopode Building, Lausanne, CH, 1015, Switzerland
| | - Giovanna Ambrosini
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland
- Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Norine Voisin
- Center for Integrative Genomics, University of Lausanne, Genopode Building, Lausanne, CH, 1015, Switzerland
- Present address: Sophia Genetics, St Sulpice, Switzerland
| | - Frédéric Schütz
- Biostatistics Platform, University of Lausanne, Lausanne, Switzerland
| | - Alfredo Brusco
- Department of Neurosciences Rita Levi-Montalcini, University of Turin, 10126, Turin, Italy
- Medical Genetics Unit, Città Della Salute E Della Scienza University Hospital, 10126, Turin, Italy
| | - Fabio Sirchia
- Department of Neurosciences Rita Levi-Montalcini, University of Turin, 10126, Turin, Italy
- Medical Genetics Unit, Città Della Salute E Della Scienza University Hospital, 10126, Turin, Italy
- Present address: Department of Molecular Medicine, University of Pavia, Pavia, Italy
- Present address: Medical Genetics Unit, IRCCS San Matteo Foundation, Pavia, Italy
| | - Lydia Turban
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Susanna Schubert
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Rami Abou Jamra
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Jan-Ulrich Schlump
- Department of Pediatrics, Centre for Neuromedicine, Gemeinschaftskrankenhaus Herdecke Gerhard-Kienle-Weg, Herdecke, Germany
| | - Desiree DeMille
- Genomics Analysis 396, ARUP Laboratories, Salt Lake City, UT, USA
| | | | - Gary Rex Nelson
- Pediatric Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Kristen Nicole Wong
- Pediatric Neurology, University of Utah School of Medicine, Salt Lake City, UT, USA
| | - Laura Duncan
- Department of Pediatrics, Medical Center North, Vanderbilt University Medical Center, Nashville, TN, USA
- Present address: Mayo Clinic, Rochester, MN, USA
| | - Mackenzie Mosera
- Department of Pediatrics, Medical Center North, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Christian Gilissen
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Lisenka E L M Vissers
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Rogier Kersseboom
- Center for Genetic Developmental Disorders Southwest, Zuidwester, Middelharnis, The Netherlands
| | - Hilde Yttervik
- Department of Medical Genetics, University Hospital of North Norway, Tromsø, Norway
| | | | | | | | | | - Claudia M B Carvalho
- Pacific Northwest Research Institute (PNRI), Broadway, Seattle, WA, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Chaofan Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - James R Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
| | - Lorraine Potocki
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- Texas Children's Hospital, Houston, TX, USA
| | | | | | | | - Binnaz Yalcin
- Inserm UMR1231, University of Burgundy, 21000, Dijon, France
| | | | | | - Lane McCormick
- Department of Genetics, Cook Children's Medical Center, Cook Children's Health Care System, Fort Worth, TX, USA
| | - Mary Kukolich
- Department of Genetics, Cook Children's Medical Center, Cook Children's Health Care System, Fort Worth, TX, USA
| | - Oliver Klaas
- Institute for Human Genetics, University Hospital Muenster, Muenster, Germany
| | - Judit Horvath
- Institute for Human Genetics, University Hospital Muenster, Muenster, Germany
| | - Marcello Scala
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, 16132, Italy
- Medical Genetics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Michele Iacomino
- Medical Genetics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Francesca Operto
- Department of Medicine, Child and Adolescent Neuropsychiatry Unit, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Federico Zara
- Department of Neuroscience, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health (DINOGMI), University of Genoa, Genoa, 16132, Italy
- Medical Genetics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Karin Writzl
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Aleš Maver
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Maria K Haanpää
- Department of Genomics, Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland
| | - Pia Pohjola
- Department of Genomics, Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland
| | - Harri Arikka
- Department of Pediatric Neurology, Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland
| | - Anneke J A Kievit
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Camilla Calandrini
- Department of Clinical Genetics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Christian Iseli
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland
- Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Nicolas Guex
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland
- Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Genopode Building, Lausanne, CH, 1015, Switzerland.
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Enduru N, Fernandes BS, Zhao Z. Dissecting the shared genetic architecture between Alzheimer's disease and frailty: a cross-trait meta-analyses of genome-wide association studies. Front Genet 2024; 15:1376050. [PMID: 38706793 PMCID: PMC11069310 DOI: 10.3389/fgene.2024.1376050] [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: 01/24/2024] [Accepted: 04/04/2024] [Indexed: 05/07/2024] Open
Abstract
Introduction: Frailty is the most common medical condition affecting the aging population, and its prevalence increases in the population aged 65 or more. Frailty is commonly diagnosed using the frailty index (FI) or frailty phenotype (FP) assessments. Observational studies have indicated the association of frailty with Alzheimer's disease (AD). However, the shared genetic and biological mechanism of these comorbidity has not been studied. Methods: To assess the genetic relationship between AD and frailty, we examined it at single nucleotide polymorphism (SNP), gene, and pathway levels. Results: Overall, 16 genome-wide significant loci (15 unique loci) (p meta-analysis < 5 × 10-8) and 22 genes (21 unique genes) were identified between AD and frailty using cross-trait meta-analysis. The 8 shared loci implicated 11 genes: CLRN1-AS1, CRHR1, FERMT2, GRK4, LINC01929, LRFN2, MADD, RP11-368P15.1, RP11-166N6.2, RNA5SP459, and ZNF652 between AD and FI, and 8 shared loci between AD and FFS implicated 11 genes: AFF3, C1QTNF4, CLEC16A, FAM180B, FBXL19, GRK4, LINC01104, MAD1L1, RGS12, ZDHHC5, and ZNF521. The loci 4p16.3 (GRK4) was identified in both meta-analyses. The colocalization analysis supported the results of our meta-analysis in these loci. The gene-based analysis revealed 80 genes between AD and frailty, and 4 genes were initially identified in our meta-analyses: C1QTNF4, CRHR1, MAD1L1, and RGS12. The pathway analysis showed enrichment for lipoprotein particle plasma, amyloid fibril formation, protein kinase regulator, and tau protein binding. Conclusion: Overall, our results provide new insights into the genetics of AD and frailty, suggesting the existence of non-causal shared genetic mechanisms between these conditions.
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Affiliation(s)
- Nitesh Enduru
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Brisa S. Fernandes
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
| | - Zhongming Zhao
- Center for Precision Health, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States
- Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, United States
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Hu X, Chen S, Ye S, Chen W, Zhou Y. New insights into the role of immunity and inflammation in diabetic kidney disease in the omics era. Front Immunol 2024; 15:1342837. [PMID: 38487541 PMCID: PMC10937589 DOI: 10.3389/fimmu.2024.1342837] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 02/19/2024] [Indexed: 03/17/2024] Open
Abstract
Diabetic kidney disease (DKD) is becoming the leading cause of chronic kidney disease, especially in the industrialized world. Despite mounting evidence has demonstrated that immunity and inflammation are highly involved in the pathogenesis and progression of DKD, the underlying mechanisms remain incompletely understood. Substantial molecules, signaling pathways, and cell types participate in DKD inflammation, by integrating into a complex regulatory network. Most of the studies have focused on individual components, without presenting their importance in the global or system-based processes, which largely hinders clinical translation. Besides, conventional technologies failed to monitor the different behaviors of resident renal cells and immune cells, making it difficult to understand their contributions to inflammation in DKD. Recently, the advancement of omics technologies including genomics, epigenomics, transcriptomics, proteomics, and metabolomics has revolutionized biomedical research, which allows an unbiased global analysis of changes in DNA, RNA, proteins, and metabolites in disease settings, even at single-cell and spatial resolutions. They help us to identify critical regulators of inflammation processes and provide an overview of cell heterogeneity in DKD. This review aims to summarize the application of multiple omics in the field of DKD and emphasize the latest evidence on the interplay of inflammation and DKD revealed by these technologies, which will provide new insights into the role of inflammation in the pathogenesis of DKD and lead to the development of novel therapeutic approaches and diagnostic biomarkers.
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Affiliation(s)
- Xinrong Hu
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Sixiu Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Siyang Ye
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Wei Chen
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
| | - Yi Zhou
- Department of Nephrology, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China
- Key Laboratory of Nephrology, National Health Commission and Guangdong Province, Guangzhou, China
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Deng J, Lai G, Zhang C, Li K, Zhu W, Xie B, Zhong X. A robust primary liver cancer subtype related to prognosis and drug response based on a multiple combined classifying strategy. Heliyon 2024; 10:e25570. [PMID: 38352751 PMCID: PMC10861988 DOI: 10.1016/j.heliyon.2024.e25570] [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: 04/16/2023] [Revised: 01/13/2024] [Accepted: 01/29/2024] [Indexed: 02/16/2024] Open
Abstract
The recurrence or resistance to treatment of primary liver cancer (PLL) is significantly related to the heterogeneity present within the tumor. In this study, we integrated prognosis risk score, mRNAsi index, and immune characteristics clustering to classify patients. The four subtypes obtained from the combined classification are associated with PLC's prognosis and drug response. In these subtypes, we observed mRNAsiH_ICCA subtype, the intersection between high mRNAsi and immune characteristics clustering A, had the worst prognosis. Specifically, immune characteristics clustering B (ICC_B) had high drug sensitivity in most drugs regardless of the value of mRNAsi. On the other hand, patients with low mRNAsi responded better to ten drugs including KU-55933 and NU7441, while patients with high mRNAsi might benefit from drugs like Leflunomide. By matching the specific characteristics of each combined subtype with the drug-induced cell line expression profile, we identified a group of potential therapeutic drugs that might regulate the expression of disease signature genes. We developed a feasible multiple combined typing strategy, hoping to guide therapeutic selection and promote the development of precision medicine.
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Affiliation(s)
- Jielian Deng
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
- Medical Department, Yidu Cloud (Beijing) Technology Co., Beijing, China
| | - Guichuan Lai
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Cong Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Kangjie Li
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Wenyan Zhu
- Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, China
- College of Pharmacy, Chongqing Medical University, Chongqing, China
- Medical Department, Yidu Cloud (Beijing) Technology Co., Beijing, China
| | - Biao Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
| | - Xiaoni Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Chongqing, China
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Bassani S, Chrast J, Ambrosini G, Voisin N, Schütz F, Brusco A, Sirchia F, Turban L, Schubert S, Jamra RA, Schlump JU, DeMille D, Bayrak-Toydemir P, Nelson GR, Wong KN, Duncan L, Mosera M, Gilissen C, Vissers LE, Pfundt R, Kersseboom R, Yttervik H, Hansen GÅM, Falkenberg Smeland M, Butler KM, Lyons MJ, Carvalho CM, Zhang C, Lupski JR, Potocki L, Flores-Gallegos L, Morales-Toquero R, Petit F, Yalcin B, Tuttle A, Elloumi HZ, Mccormick L, Kukolich M, Klaas O, Horvath J, Scala M, Iacomino M, Operto F, Zara F, Writzl K, Maver A, Haanpää MK, Pohjola P, Arikka H, Iseli C, Guex N, Reymond A. Variant-specific pathophysiological mechanisms of AFF3 differently influence transcriptome profiles. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.01.14.24301100. [PMID: 38293053 PMCID: PMC10827271 DOI: 10.1101/2024.01.14.24301100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Background We previously described the KINSSHIP syndrome, an autosomal dominant disorder associated with intellectual disability (ID), mesomelic dysplasia and horseshoe kidney,caused by de novo variants in the degron of AFF3. Mouse knock-ins and overexpression in zebrafish provided evidence for a dominant-negative (DN) mode-of-action, wherein an increased level of AFF3 resulted in pathological effects. Methods Evolutionary constraints suggest that other mode-of-inheritance could be at play. We challenged this hypothesis by screening ID cohorts for individuals with predicted-to-be deleterious variants in AFF3. We used both animal and cellular models to assess the deleteriousness of the identified variants. Results We identified an individual with a KINSSHIP-like phenotype carrying a de novo partial duplication of AFF3 further strengthening the hypothesis that an increased level of AFF3 is pathological. We also detected seventeen individuals displaying a milder syndrome with either heterozygous LoF or biallelic missense variants in AFF3. Consistent with semi-dominance, we discovered three patients with homozygous LoF and one compound heterozygote for a LoF and a missense variant, who presented more severe phenotypes than their heterozygous parents. Matching zebrafish knockdowns exhibit neurological defects that could be rescued by expressing human AFF3 mRNA, confirming their association with the ablation of aff3. Conversely, some of the human AFF3 mRNAs carrying missense variants identified in affected individuals did not complement. Overexpression of mutated AFF3 mRNAs in zebrafish embryos produced a significant increase of abnormal larvae compared to wild-type overexpression further demonstrating deleteriousness. To further assess the effect of AFF3 variation, we profiled the transcriptome of fibroblasts from affected individuals and engineered isogenic cells harboring +/+, DN/DN, LoF/+, LoF/LoF or DN/LoF AFF3 genotypes. The expression of more than a third of the AFF3 bound loci is modified in either the DN/DN or the LoF/LoF lines. While the same pathways are affected, only about one-third of the differentially expressed genes are common to these homozygote datasets, indicating that AFF3 LoF and DN variants largely modulate transcriptomes differently, e.g. the DNA repair pathway displayed opposite modulation. Conclusions Our results and the high pleiotropy shown by variation at this locus suggest that minute changes in AFF3 function are deleterious.
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Affiliation(s)
- Sissy Bassani
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Jacqueline Chrast
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Giovanna Ambrosini
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland
- Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Norine Voisin
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
| | - Frédéric Schütz
- Biostatistics platform, University of Lausanne, Lausanne, Switzerland
| | - Alfredo Brusco
- Department of Neurosciences Rita Levi-Montalcini, University of Turin, 10126 Turin, Italy
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy
| | - Fabio Sirchia
- Department of Neurosciences Rita Levi-Montalcini, University of Turin, 10126 Turin, Italy
- Medical Genetics Unit, Città della Salute e della Scienza University Hospital, 10126 Turin, Italy
| | - Lydia Turban
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Susanna Schubert
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Rami Abou Jamra
- Institute of Human Genetics, University of Leipzig Medical Center, Leipzig, Germany
| | - Jan-Ulrich Schlump
- Department of Pediatrics, Centre for Neuromedicine, Gemeinschaftskrankenhaus Herdecke Gerhard-Kienle-Weg, Herdecke, Germany
| | - Desiree DeMille
- Genomics Analysis 396, ARUP Laboratories, Salt Lake City, Utah, USA
| | - Pinar Bayrak-Toydemir
- Pediatric Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Gary Rex Nelson
- Pediatric Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Kristen Nicole Wong
- Pediatric Neurology, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Laura Duncan
- Department of Pediatrics, Medical Center North, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Mackenzie Mosera
- Department of Pediatrics, Medical Center North, Vanderbilt University Medical Center, Nashville, Tennessee, USA
| | - Christian Gilissen
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Lisenka E.L.M. Vissers
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rolph Pfundt
- Department of Human Genetics, Research Institute for Medical Innovation, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Rogier Kersseboom
- Center for genetic developmental disorders southwest, Zuidwester, Middelharnis, The Netherlands
| | - Hilde Yttervik
- Department of Medical Genetics, University Hospital of North Norway, Tromsø, Norway
| | | | | | | | | | - Claudia M.B. Carvalho
- Pacific Northwest Research Institute (PNRI), Broadway, Seattle, Washington, USA
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - Chaofan Zhang
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
| | - James R. Lupski
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, Texas, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children’s Hospital, Houston, Texas, USA
| | - Lorraine Potocki
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, Texas, USA
- Texas Children’s Hospital, Houston, Texas, USA
| | | | | | | | - Binnaz Yalcin
- Inserm UMR1231, University of Burgundy, 21000 Dijon, France
| | | | | | - Lane Mccormick
- Department of Genetics, Cook Children’s Medical Center, Cook Children’s Health Care System, Fort Worth, Texas, USA
| | - Mary Kukolich
- Department of Genetics, Cook Children’s Medical Center, Cook Children’s Health Care System, Fort Worth, Texas, USA
| | - Oliver Klaas
- Institute for Human Genetics, University Hospital Muenster, Muenster, Germany
| | - Judit Horvath
- Institute for Human Genetics, University Hospital Muenster, Muenster, Germany
| | - Marcello Scala
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132, Genoa, Italy
- Medical Genetics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Michele Iacomino
- Medical Genetics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Francesca Operto
- Child and Adolescent Neuropsychiatry Unit, Department of Medicine, Surgery and Dentistry, University of Salerno, Salerno, Italy
| | - Federico Zara
- Department of Neurosciences, Rehabilitation, Ophthalmology, Genetics, Maternal and Child Health, University of Genoa, 16132, Genoa, Italy
- Medical Genetics Unit, IRCCS Istituto Giannina Gaslini, Genoa, Italy
| | - Karin Writzl
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
- Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia
| | - Ales Maver
- Clinical Institute of Genomic Medicine, University Medical Centre Ljubljana, Ljubljana, Slovenia
| | - Maria K. Haanpää
- Department of Genomics, Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland
| | - Pia Pohjola
- Department of Genomics, Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland
| | - Harri Arikka
- Department of Pediatric Neurology, Turku University Hospital, Turku, Finland; University of Turku, Turku, Finland
| | - Christian Iseli
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland
- Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Nicolas Guex
- Bioinformatics Competence Center, University of Lausanne, Lausanne, Switzerland
- Bioinformatics Competence Center, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland
| | - Alexandre Reymond
- Center for Integrative Genomics, University of Lausanne, Lausanne, Switzerland
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Khired ZA, Kattan SW, Alzahrani AK, Milebary AJ, Hussein MH, Qusti SY, Alshammari EM, Toraih EA, Fawzy MS. Analysis of MIR27A (rs11671784) Variant Association with Systemic Lupus Erythematous. Life (Basel) 2023; 13:life13030701. [PMID: 36983856 PMCID: PMC10058767 DOI: 10.3390/life13030701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 02/23/2023] [Accepted: 03/02/2023] [Indexed: 03/08/2023] Open
Abstract
Multiple microRNAs (miRs) are associated with systemic autoimmune disease susceptibility/phenotype, including systemic lupus erythematosus (SLE). With this work, we aimed to unravel the association of the miR-27a gene (MIR27A) rs11671784G/A variant with SLE risk/severity. One-hundred sixty-three adult patients with SLE and matched controls were included. A TaqMan allelic discrimination assay was applied for MIR27A genotyping. Logistic regression models were run to test the association with SLE susceptibility/risk. Genotyping of 326 participants revealed that the heterozygote form was the most common genotype among the study cohort, accounting for 72% of the population (n = 234), while A/A and G/G represented 15% (n = 49) and 13% (n = 43), respectively. Similarly, the most prevalent genotype among cases was the A/G genotype, which was present in approximately 93.3% of cases (n = 152). In contrast, only eight and three patients had A/A and G/G genotypes, respectively. The MIR27A rs11671784 variant conferred protection against the development of SLE in several genetic models, including heterozygous (G/A vs. A/A; OR = 0.10, 95% CI = 0.05–0.23), dominant (G/A + G/G vs. AA; OR = 0.15, 95% CI = 0.07–0.34), and overdominant (G/A vs. A/A + G/G; OR = 0.07, 95% CI = 0.04–0.14) models. However, the G/G genotype was associated with increased SLE risk in the recessive model (G/G vs. A/A+ G/G; OR = 17.34, 95% CI = 5.24–57.38). Furthermore, the variant showed significant associations with musculoskeletal and mucocutaneous manifestations in the patient cohort (p = 0.035 and 0.009, respectively) and platelet and white blood cell counts (p = 0.034 and 0.049, respectively). In conclusion, the MIR27A rs11671784 variant showed a potentially significant association with SLE susceptibility/risk in the studied population. Larger-scale studies on multiethnic populations are recommended to verify the results.
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Affiliation(s)
- Zenat Ahmed Khired
- Department of Surgery, College of Medicine, Jazan University, Jazan 45142, Saudi Arabia
| | - Shahad W. Kattan
- Department of Medical Laboratory, College of Applied Medical Sciences, Taibah University, Yanbu 46423, Saudi Arabia
| | - Ahmad Khuzaim Alzahrani
- Medical Laboratory Technology, Faculty of Applied Medical Sciences, Northern Border University, Arar 91431, Saudi Arabia
| | - Ahmad J. Milebary
- Department of Medical Laboratory, King Fahad Armed Forces Hospital, Jeddah 23311, Saudi Arabia
| | - Mohammad H. Hussein
- Division of Endocrine and Oncologic Surgery, Department of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA
| | - Safaa Y. Qusti
- Department of Biochemistry, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
| | - Eida M. Alshammari
- Department of Chemistry, College of Sciences, University of Ha’il, Ha’il 2440, Saudi Arabia
| | - Eman A. Toraih
- Division of Endocrine and Oncologic Surgery, Department of Surgery, Tulane University School of Medicine, New Orleans, LA 70112, USA
- Medical Genetics Unit, Department of Histology and Cell Biology, Suez Canal University, Ismailia 41522, Egypt
- Correspondence: (E.A.T.); (M.S.F.); Tel.: +1-346-907-4237 (E.A.T.); +966-583241944 (M.S.F.)
| | - Manal S. Fawzy
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Suez Canal University, Ismailia 41522, Egypt
- Department of Biochemistry, Faculty of Medicine, Northern Border University, Arar 1321, Saudi Arabia
- Correspondence: (E.A.T.); (M.S.F.); Tel.: +1-346-907-4237 (E.A.T.); +966-583241944 (M.S.F.)
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