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Zhang M, Hogstrand C, Pontrelli P, Malik AN. Co-regulation and synteny of GFM2 and NSA2 links ribosomal function in mitochondria and the cytosol with chronic kidney disease. Mol Med 2024; 30:176. [PMID: 39396937 PMCID: PMC11476648 DOI: 10.1186/s10020-024-00930-8] [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: 07/22/2024] [Accepted: 09/08/2024] [Indexed: 10/15/2024] Open
Abstract
BACKGROUND We previously reported aberrant expression of the cytosolic ribosomal biogenesis factor Nop-7-associated 2 (NSA2) in diabetic nephropathy, the latter also known to involve mitochondrial dysfunction, however the connections between NSA2, mitochondria and renal disease were unclear. In the current paper, we show that NSA2 expression is co-regulated with the GTP-dependent ribosome recycling factor mitochondrial 2 (GFM2) and provide a molecular link between cytosolic and mitochondrial ribosomal biogenesis with mitochondrial dysfunction in chronic kidney disease (CKD). METHODS Human renal tubular cells (HK-2) were cultured (+/- zinc, or 5mM/20mM glucose). mRNA levels were quantified using real-time qPCR. Transcriptomics data were retrieved and analysed from Nakagawa chronic kidney disease (CKD) Dataset (GSE66494) and Kidney Precision Medicine Project (KPMP) ( https://atlas.kpmp.org/ ). Protein levels were determined by immunofluorescence and Western blotting. Cellular respiration was measured using Agilent Seahorse XF Analyzer. Data were analysed using one-way ANOVA, Students' t-test and Pearson correlation. RESULTS The NSA2 gene, on human chromosome 5q13 was next to GFM2. The two genes were syntenic on opposite strands and orientation in multiple species. Their common 381 bp 5' region contained multiple transcription factor binding sites (TFBS) including the zinc-responsive transcription factor MTF1. NSA2 and GFM2 mRNAs showed a dose-dependent increase to zinc in-vitro and were highly expressed in proximal tubular cells in renal biopsies. CKD patients showed higher renal NSA2/GFM2 expression. In HK-2 cells, hyperglycaemia led to increased expression of both genes. The total cellular protein content remained unchanged, but GFM2 upregulation resulted in increased levels of several mitochondrial oxidative phosphorylation (OXPHOS) subunits. Furthermore, increased GFM2 expression, via transient transfection or hyperglycemia, correlated with decrease cellular respiration. CONCLUSION The highly conserved synteny of NSA2 and GFM2, their shared 5' region, and co-expression in-vitro and in CKD, shows they are co-regulated. Increased GFM2 affects mitochondrial function with a disconnect between an increase in certain mitochondrial respiratory proteins but a decrease in cellular respiration. These data link the regulation of 2 highly conserved genes, NSA2 and GFM2, connected to ribosomes in two different cellular compartments, cytosol and mitochondria, to kidney disease and shows that their dysregulation may be involved in mitochondrial dysfunction.
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Affiliation(s)
- Minjie Zhang
- Diabetes & Obesity, School of Cardiovascular Medicine and Metabolic Sciences, King's College London, London, SE1 1UL, UK
| | - Christer Hogstrand
- Analytical, Environmental and Forensic Sciences, School of Cancer and Pharmaceutical Sciences, King's College London, London, SE1 8NH, UK
| | - Paola Pontrelli
- Department of Precision and Regenerative Medicine and Ionian Area (DIMEPRE-J), University of Bari Aldo Moro, Bari, Italy
| | - Afshan N Malik
- Diabetes & Obesity, School of Cardiovascular Medicine and Metabolic Sciences, King's College London, London, SE1 1UL, UK.
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Nop-7-associated 2 (NSA2) is required for ribosome biogenesis and protein synthesis. Biochem Biophys Res Commun 2018; 505:249-254. [PMID: 30243719 DOI: 10.1016/j.bbrc.2018.09.041] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2018] [Accepted: 09/07/2018] [Indexed: 12/11/2022]
Abstract
Ribosome biogenesis is a fundamental cellular process and occurs mainly in the nucleolus in eukaryotes. The process is exceptionally complex and highly regulated by numerous ribosomal and non-ribosomal factors. A recent discovery strengthened the link between ribosome biogenesis and malignant transformation. Here, we determined that Nop-7-associated 2 (NSA2) is a nucleolar protein required for ribosome biogenesis. NSA2 knockdown reduced the rate of rRNA synthesis, diminishing the 60S ribosomal subunit. Moreover, we demonstrated that depletion of NSA2 suppressed protein synthesis. To investigate the signaling pathway affected by NSA2, NSA2 was depleted, which triggered the inactivation of the mTOR signaling pathway. Taken together, our findings reveal a novel function of NSA2 and provide insight into the regulation of ribosome biogenesis by NSA2.
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Shah HS, Gao H, Morieri ML, Skupien J, Marvel S, Paré G, Mannino GC, Buranasupkajorn P, Mendonca C, Hastings T, Marcovina SM, Sigal RJ, Gerstein HC, Wagner MJ, Motsinger-Reif AA, Buse JB, Kraft P, Mychaleckyj JC, Doria A. Genetic Predictors of Cardiovascular Mortality During Intensive Glycemic Control in Type 2 Diabetes: Findings From the ACCORD Clinical Trial. Diabetes Care 2016; 39:1915-1924. [PMID: 27527847 PMCID: PMC5079609 DOI: 10.2337/dc16-0285] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2016] [Accepted: 07/20/2016] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To identify genetic determinants of increased cardiovascular mortality among subjects with type 2 diabetes who underwent intensive glycemic therapy in the Action to Control Cardiovascular Risk in Diabetes (ACCORD) trial. RESEARCH DESIGN AND METHODS A total of 6.8 million common variants were analyzed for genome-wide association with cardiovascular mortality among 2,667 self-reported white subjects in the ACCORD intensive treatment arm. Significant loci were examined in the entire ACCORD white genetic dataset (n = 5,360) for their modulation of cardiovascular responses to glycemic treatment assignment and in a Joslin Clinic cohort (n = 422) for their interaction with long-term glycemic control on cardiovascular mortality. RESULTS Two loci, at 10q26 and 5q13, attained genome-wide significance as determinants of cardiovascular mortality in the ACCORD intensive arm (P = 9.8 × 10-9 and P = 2 × 10-8, respectively). A genetic risk score (GRS) defined by the two variants was a significant modulator of cardiovascular mortality response to treatment assignment in the entire ACCORD white genetic dataset. Participants with GRS = 0 experienced a fourfold reduction in cardiovascular mortality in response to intensive treatment (hazard ratio [HR] 0.24 [95% CI 0.07-0.86]), those with GRS = 1 experienced no difference (HR 0.92 [95% CI 0.54-1.56]), and those with GRS ≥2 experienced a threefold increase (HR 3.08 [95% CI 1.82-5.21]). The modulatory effect of the GRS on the association between glycemic control and cardiovascular mortality was confirmed in the Joslin cohort (P = 0.029). CONCLUSIONS Two genetic variants predict the cardiovascular effects of intensive glycemic control in ACCORD. Further studies are warranted to determine whether these findings can be translated into new strategies to prevent cardiovascular complications of diabetes.
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Affiliation(s)
- Hetal S Shah
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - He Gao
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Mario Luca Morieri
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Jan Skupien
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Department of Metabolic Diseases, Jagiellonian University Medical College, Krakow, Poland
| | - Skylar Marvel
- Bioinformatics Research Center and Department of Statistics, North Carolina State University, Raleigh, NC
| | - Guillaume Paré
- Department of Medicine and the Population Health Research Institute, McMaster University and Hamilton Health Sciences, Ontario, Canada
| | - Gaia C Mannino
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Patinut Buranasupkajorn
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | | | | | - Santica M Marcovina
- Department of Medicine, University of Washington, and Northwest Lipid Metabolism and Diabetes Research Laboratories, Seattle, WA
| | - Ronald J Sigal
- Departments of Medicine, Cardiac Sciences, and Community Health Sciences, Cumming School of Medicine, Faculties of Medicine and Kinesiology, University of Calgary, Alberta, Canada
| | - Hertzel C Gerstein
- Department of Medicine and the Population Health Research Institute, McMaster University and Hamilton Health Sciences, Ontario, Canada
| | - Michael J Wagner
- Center for Pharmacogenomics and Individualized Therapy, University of North Carolina at Chapel Hill, Chapel Hill, NC
| | - Alison A Motsinger-Reif
- Bioinformatics Research Center and Department of Statistics, North Carolina State University, Raleigh, NC
| | - John B Buse
- Department of Medicine, University of North Carolina School of Medicine, Chapel Hill, NC
| | - Peter Kraft
- Departments of Epidemiology and Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Josyf C Mychaleckyj
- Center for Public Health Genomics, University of Virginia, Charlottesville, VA
| | - Alessandro Doria
- Research Division, Joslin Diabetes Center, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
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Shahni R, Czajka A, Mankoo BS, Guvenel AK, King AJ, Malik AN. Nop-7-associated 2 (NSA2), a candidate gene for diabetic nephropathy, is involved in the TGFβ1 pathway. Int J Biochem Cell Biol 2012; 45:626-35. [PMID: 23220173 DOI: 10.1016/j.biocel.2012.11.020] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2012] [Revised: 10/28/2012] [Accepted: 11/28/2012] [Indexed: 01/29/2023]
Abstract
We recently showed that Nop-7-associated 2 (NSA2) originally described in yeast as a nuclear protein involved in ribosomal biogenesis, is a hyperglycemia induced gene involved in diabetic nephropathy [Shahni et al., Elevated levels of renal and circulating Nop-7-associated 2 (NSA2) in rat and mouse models of diabetes, in mesangial cells in vitro and in patients with diabetic nephropathy. Diabetologia 2012;55(March(3)):825-34]. However the function of NSA2 in the cell remains unknown. In the current paper we investigate the possible mechanisms for the involvement of NSA2 in diabetic nephropathy by testing the hypothesis that NSA2 expression is linked to the TGFβ1 pathway. Both TGFβ1 and NSA2 mRNAs were significantly up-regulated in cultured renal mesangial cells in response to high glucose, in mouse kidneys during hyperglycemia, and in developing kidneys of mouse embryos during mesenchymal to epithelial transition. Surprisingly, the previously described nuclear NSA2 protein was predominantly located in the cytosol of cultured renal cells. Exogenous TGFβ1 could elevate NSA2 mRNA/protein levels in cultured mesangial cells and could also affect the cellular localization of NSA2, causing the predominantly cytosolic NSA2 protein to rapidly translocate to the nucleus. Increased NSA2 nuclear staining was seen in diabetic mouse kidneys compared to control kidneys. Knock-down of NSA2 expression using RNA interference resulted in significantly decreased TGFβ1 mRNA/protein, almost abolished TGFβ1 activity, and resulted in significantly reduced mRNA levels of the TGFβ1 downstream gene fibronectin. Our data suggest that NSA2 is acting upstream of the TGFβ1 pathway and that NSA2 is needed for TGFβ1 expression and transcriptional activity. In summary, NSA2, which increases in diabetic nephropathy, may be involved in the actions of TGFβ1 and contribute to the development of diabetic nephropathy.
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Affiliation(s)
- Rojeen Shahni
- Diabetes Research Group, Division of Diabetes and Nutritional Sciences, School of Medicine, King's College London, Hodgkin Building, London Bridge, London SE1 1UL, United Kingdom
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