Uncovering genetic mechanisms of kidney aging through transcriptomics, genomics, and epigenomics
- Rowland, Joshua, Akbarov, Artur, Eales, James, Xu, Xiaoguang, Dormer, John, Guo, Hui, Denniff, Matthew, Jiang, Xiao, Ranjzad, Parisa, Nazgiewicz, Alicja, Prestes, Priscilla, Antczak, Andrzej, Szulinska, Monika, Wise, Ingrid, Zukowska-Szczechowska, Ewa, Bogdanski, Pawel, Woolf, Adrian, Samani, Nilesh, Charchar, Fadi, Tomaszewski, Maciej
- Authors: Rowland, Joshua , Akbarov, Artur , Eales, James , Xu, Xiaoguang , Dormer, John , Guo, Hui , Denniff, Matthew , Jiang, Xiao , Ranjzad, Parisa , Nazgiewicz, Alicja , Prestes, Priscilla , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Zukowska-Szczechowska, Ewa , Bogdanski, Pawel , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2019
- Type: Text , Journal article
- Relation: Kidney International Vol. 95, no. 3 (2019), p. 624-635
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- Description: Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome.
- Authors: Rowland, Joshua , Akbarov, Artur , Eales, James , Xu, Xiaoguang , Dormer, John , Guo, Hui , Denniff, Matthew , Jiang, Xiao , Ranjzad, Parisa , Nazgiewicz, Alicja , Prestes, Priscilla , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Zukowska-Szczechowska, Ewa , Bogdanski, Pawel , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2019
- Type: Text , Journal article
- Relation: Kidney International Vol. 95, no. 3 (2019), p. 624-635
- Full Text:
- Reviewed:
- Description: Nephrons scar and involute during aging, increasing the risk of chronic kidney disease. Little is known, however, about genetic mechanisms of kidney aging. We sought to define the signatures of age on the renal transcriptome using 563 human kidneys. The initial discovery analysis of 260 kidney transcriptomes from the TRANScriptome of renaL humAn TissuE Study (TRANSLATE) and the Cancer Genome Atlas identified 37 age-associated genes. For 19 of those genes, the association with age was replicated in 303 kidney transcriptomes from the Nephroseq resource. Surveying 42 nonrenal tissues from the Genotype–Tissue Expression project revealed that, for approximately a fifth of the replicated genes, the association with age was kidney-specific. Seventy-three percent of the replicated genes were associated with functional or histological parameters of age-related decline in kidney health, including glomerular filtration rate, glomerulosclerosis, interstitial fibrosis, tubular atrophy, and arterial narrowing. Common genetic variants in four of the age-related genes, namely LYG1, PPP1R3C, LTF and TSPYL5, correlated with the trajectory of age-related changes in their renal expression. Integrative analysis of genomic, epigenomic, and transcriptomic information revealed that the observed age-related decline in renal TSPYL5 expression was determined both genetically and epigenetically. Thus, this study revealed robust molecular signatures of the aging kidney and new regulatory mechanisms of age-related change in the kidney transcriptome.
Renal Mechanisms of Association between Fibroblast Growth Factor 1 and Blood Pressure
- Tomaszewski, Maciej, Eales, James, Denniff, Matthew, Myers, Stephen, Chew, Guatsiew, Nelson, Christopher, Christofidou, Paraskevi, Desai, Aishwarya, Büsst, Cara, Wojnar, Lukasz, Musialik, Katarzyna, Jozwiak, Jacek, Debiec, Radoslaw, Dominiczak, Anna, Navis, Gerjan, van Gilst, Wiek, van der Harst, Pim, Samani, Nilesh, Harrap, Stephen, Bogdanski, Pawel, Zukowska-Szczechowska, Ewa, Charchar, Fadi
- Authors: Tomaszewski, Maciej , Eales, James , Denniff, Matthew , Myers, Stephen , Chew, Guatsiew , Nelson, Christopher , Christofidou, Paraskevi , Desai, Aishwarya , Büsst, Cara , Wojnar, Lukasz , Musialik, Katarzyna , Jozwiak, Jacek , Debiec, Radoslaw , Dominiczak, Anna , Navis, Gerjan , van Gilst, Wiek , van der Harst, Pim , Samani, Nilesh , Harrap, Stephen , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Charchar, Fadi
- Date: 2015
- Type: Text , Journal article
- Relation: Journal of the American Society of Nephrology Vol. 26, no. 12 (2015), p. 3151-3160
- Relation: http://purl.org/au-research/grants/nhmrc/1009490
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- Description: The fibroblast growth factor 1 (FGF1) gene is expressed primarily in the kidney and may contribute to hypertension. However, the biologic mechanisms underlying the association between FGF1 and BP regulation remain unknown. We report that the major allele of FGF1 single nucleotide polymorphism rs152524 was associated in a dose-dependent manner with systolic BP (P=9.65 x10(-5)) and diastolic BP (P=7.61 x10(-3)) in a meta-analysis of 14,364 individuals and with renal expression of FGF1 mRNA in 126 human kidneys (P=9.0x10(-3)). Next-generation RNA sequencing revealed that upregulated renal expression of FGF1 or of each of the three FGF1 mRNA isoforms individually was associated with higher BP. FGF1-stratified coexpression analysis in two separate collections of human kidneys identified 126 FGF1 partner mRNAs, of which 71 and 63 showed at least nominal association with systolic and diastolic BP, respectively. Of those mRNAs, seven mRNAs in five genes (MME, PTPRO, REN, SLC12A3, and WNK1) had strong prior annotation to BP or hypertension. MME, which encodes an enzyme that degrades circulating natriuretic peptides, showed the strongest differential coexpression with FGF1 between hypertensive and normotensive kidneys. Furthermore, higher level of renal FGF1 expression was associated with lower circulating levels of atrial and brain natriuretic peptides. These findings indicate that FGF1 expression in the kidney is at least under partial genetic control and that renal expression of several FGF1 partner genes involved in the natriuretic peptide catabolism pathway, reninangiotensin cascade, and sodium handling network may explain the association between FGF1 and BP.
- Authors: Tomaszewski, Maciej , Eales, James , Denniff, Matthew , Myers, Stephen , Chew, Guatsiew , Nelson, Christopher , Christofidou, Paraskevi , Desai, Aishwarya , Büsst, Cara , Wojnar, Lukasz , Musialik, Katarzyna , Jozwiak, Jacek , Debiec, Radoslaw , Dominiczak, Anna , Navis, Gerjan , van Gilst, Wiek , van der Harst, Pim , Samani, Nilesh , Harrap, Stephen , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Charchar, Fadi
- Date: 2015
- Type: Text , Journal article
- Relation: Journal of the American Society of Nephrology Vol. 26, no. 12 (2015), p. 3151-3160
- Relation: http://purl.org/au-research/grants/nhmrc/1009490
- Full Text:
- Reviewed:
- Description: The fibroblast growth factor 1 (FGF1) gene is expressed primarily in the kidney and may contribute to hypertension. However, the biologic mechanisms underlying the association between FGF1 and BP regulation remain unknown. We report that the major allele of FGF1 single nucleotide polymorphism rs152524 was associated in a dose-dependent manner with systolic BP (P=9.65 x10(-5)) and diastolic BP (P=7.61 x10(-3)) in a meta-analysis of 14,364 individuals and with renal expression of FGF1 mRNA in 126 human kidneys (P=9.0x10(-3)). Next-generation RNA sequencing revealed that upregulated renal expression of FGF1 or of each of the three FGF1 mRNA isoforms individually was associated with higher BP. FGF1-stratified coexpression analysis in two separate collections of human kidneys identified 126 FGF1 partner mRNAs, of which 71 and 63 showed at least nominal association with systolic and diastolic BP, respectively. Of those mRNAs, seven mRNAs in five genes (MME, PTPRO, REN, SLC12A3, and WNK1) had strong prior annotation to BP or hypertension. MME, which encodes an enzyme that degrades circulating natriuretic peptides, showed the strongest differential coexpression with FGF1 between hypertensive and normotensive kidneys. Furthermore, higher level of renal FGF1 expression was associated with lower circulating levels of atrial and brain natriuretic peptides. These findings indicate that FGF1 expression in the kidney is at least under partial genetic control and that renal expression of several FGF1 partner genes involved in the natriuretic peptide catabolism pathway, reninangiotensin cascade, and sodium handling network may explain the association between FGF1 and BP.
Association between lipid profile and circulating concentrations of estrogens in young men
- Tomaszewski, Maciej, Maric, Christine, Zuzniewicz, Roman, Gola, Mateusz, Grzeszczak, Wladyslaw, Samani, Nilesh, Zukowska-Szczechowska, Ewa, Charchar, Fadi
- Authors: Tomaszewski, Maciej , Maric, Christine , Zuzniewicz, Roman , Gola, Mateusz , Grzeszczak, Wladyslaw , Samani, Nilesh , Zukowska-Szczechowska, Ewa , Charchar, Fadi
- Date: 2009
- Type: Text , Journal article
- Relation: Atheroclerosis Vol. 203, no. (2009), p. 257-262
- Full Text: false
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- Description: Objectives: Men show higher rates of cardiovascular morbidity and mortality than pre-menopausal women and this sexual dimorphism may be related to sex-specific effects of sex steroids on cardiovascular risk factors. Unlike androgens, estrogens were not extensively investigated in relation to cardiovascular phenotypes in men.
- Description: C1
Molecular insights into genome-wide association studies of chronic kidney disease-defining traits
- Xu, Xiaoguang, Eales, James, Akbarov, Artur, Guo, Hui, Becker, Lorenz, Talavera, David, Ashraf, Fehzan, Nawaz, Jabran, Pramanik, Sanjeev, Bowes, John, Jiang, Xiao, Dormer, John, Denniff, Matthew, Antczak, Andrzej, Szulinska, Monika, Wise, Ingrid, Prestes, Priscilla, Glyda, Maciej, Bogdanski, Pawel, Zukowska-Szczechowska, Ewa, Berzuini, Carlo, Woolf, Adrian, Samani, Nilesh, Charchar, Fadi, Tomaszewski, Maciej
- Authors: Xu, Xiaoguang , Eales, James , Akbarov, Artur , Guo, Hui , Becker, Lorenz , Talavera, David , Ashraf, Fehzan , Nawaz, Jabran , Pramanik, Sanjeev , Bowes, John , Jiang, Xiao , Dormer, John , Denniff, Matthew , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Prestes, Priscilla , Glyda, Maciej , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Berzuini, Carlo , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2018
- Type: Text , Journal article
- Relation: Nature communications Vol. 9, no. 1 (2018), p. 1-12
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- Description: Genome-wide association studies (GWAS) have identified >100 loci of chronic kidney disease-defining traits (CKD-dt). Molecular mechanisms underlying these associations remain elusive. Using 280 kidney transcriptomes and 9958 gene expression profiles from 44 non-renal tissues we uncover gene expression partners (eGenes) for 88.9% of CKD-dt GWAS loci. Through epigenomic chromatin segmentation analysis and variant effect prediction we annotate functional consequences to 74% of these loci. Our colocalisation analysis and Mendelian randomisation in >130,000 subjects demonstrate causal effects of three eGenes (NAT8B, CASP9 and MUC1) on estimated glomerular filtration rate. We identify a common alternative splice variant in MUC1 (a gene responsible for rare Mendelian form of kidney disease) and observe increased renal expression of a specific MUC1 mRNA isoform as a plausible molecular mechanism of the GWAS association signal. These data highlight the variants and genes underpinning the associations uncovered in GWAS of CKD-dt.
- Authors: Xu, Xiaoguang , Eales, James , Akbarov, Artur , Guo, Hui , Becker, Lorenz , Talavera, David , Ashraf, Fehzan , Nawaz, Jabran , Pramanik, Sanjeev , Bowes, John , Jiang, Xiao , Dormer, John , Denniff, Matthew , Antczak, Andrzej , Szulinska, Monika , Wise, Ingrid , Prestes, Priscilla , Glyda, Maciej , Bogdanski, Pawel , Zukowska-Szczechowska, Ewa , Berzuini, Carlo , Woolf, Adrian , Samani, Nilesh , Charchar, Fadi , Tomaszewski, Maciej
- Date: 2018
- Type: Text , Journal article
- Relation: Nature communications Vol. 9, no. 1 (2018), p. 1-12
- Full Text:
- Reviewed:
- Description: Genome-wide association studies (GWAS) have identified >100 loci of chronic kidney disease-defining traits (CKD-dt). Molecular mechanisms underlying these associations remain elusive. Using 280 kidney transcriptomes and 9958 gene expression profiles from 44 non-renal tissues we uncover gene expression partners (eGenes) for 88.9% of CKD-dt GWAS loci. Through epigenomic chromatin segmentation analysis and variant effect prediction we annotate functional consequences to 74% of these loci. Our colocalisation analysis and Mendelian randomisation in >130,000 subjects demonstrate causal effects of three eGenes (NAT8B, CASP9 and MUC1) on estimated glomerular filtration rate. We identify a common alternative splice variant in MUC1 (a gene responsible for rare Mendelian form of kidney disease) and observe increased renal expression of a specific MUC1 mRNA isoform as a plausible molecular mechanism of the GWAS association signal. These data highlight the variants and genes underpinning the associations uncovered in GWAS of CKD-dt.