Dataset Information

Postnatal persistence of sex-dependent renal developmental programmed structural and molecular changes in nonhuman primates

ABSTRACT: Background: Poor nutrition during development programs kidney function. No studies on postnatal consequences of decreased perinatal nutrition exist in nonhuman primates (NHP) for translation to human renal disease. Our baboon model of moderate maternal nutrient restriction (MNR) produces intrauterine growth restricted (IUGR) and programs renal fetal phenotype. We hypothesized that the IUGR phenotype persists postnatally influencing responses to a high-fat, high-carbohydrate, high-salt (HFCS) diet. Methods: Pregnant baboons ate chow Control (CON) or 70% of control intake (MNR) from 0.16 gestation through lactation. MNR offspring were IUGR at birth. At weaning, all offspring, (control and IUGR females and males n=3/group) ate chow. At ~3.5 years age, blood, urine, and kidney biopsies were collected before and after a 7-week high HFCS diet challenge. Kidney function, unbiased kidney gene expression, and untargeted urine metabolomics were evaluated. Results: IUGR female and male kidney transcriptome and urine metabolome differed from CON at 3.5 years, prior to HFCS. After the challenge, we observed sex-specific and fetal exposure-specific responses in urine creatinine, urine metabolites, and renal signaling pathways. Conclusions: We previously showed mTOR signaling dysregulation in IUGR fetal kidneys. Before HFCS, gene expression analysis indicated that dysregulation persists postnatally in IUGR females. IUGR male offspring response to HFCS showed uncoordinated signaling pathway responses suggestive of proximal tubule injury. To our knowledge, this is the first study comparing CON and IUGR postnatal juvenile NHP and the impact of fetal and postnatal life caloric mismatch. Perinatal history needs to be taken into account when assessing renal disease risk.

ORGANISM(S): Papio hamadryas Homo sapiens

PROVIDER: GSE149895 | GEO | 2022/12/01

REPOSITORIES: GEO

ACCESS DATA

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Project description:The liver is a major site for synthesis, storage and redistribution of carbohydrates, proteins and lipids. In addition, it is well-known that maternal obesity (MO) increases risk of offspring cardiovascular disease (CVD), diabetes and obesity. However, the mechanisms by which the MO intrauterine environment predisposes offspring to CVD and metabolic dysregulation are unknown. The goal of this study was to assess the impact of MO on primate fetal liver and identify underlying molecular mechanisms by which MO increases disease risk. The goal of this study was to identify candidate molecular mechanisms underlying MO in the near-term NHP fetal liver. This is the first study of NHP fetal MO livers using unbiased transcriptome analysis to quantify hepatic gene expression, identify dysregulated signaling pathways and potential miRNAs regulating the disrupted metabolic processes. Unbiased gene (arrays) and microRNA (miRNA; small RNA-Seq) abundances were quantified in near-term (0.9 Gestation (0.9G)) baboon fetal livers (control (CON) = 6; MO = 5) and subjected to pathway and network analyses (GeneSifter, Ingenuity® Pathway Analysis (IPA)) to identify a coordinated molecular response to MO. Lipid and glycogen content (CON = 16; MO = 16) were quantified by Computer Assisted Stereology Toolbox (CAST) in 0.9G livers.Pairwise comparisons showed 933 differentially expressed genes between CON and MO livers: 350 genes were upregulated and 583 were downregulated. Pathway analysis revealed upregulation of Wnt/β-catenin signaling and downregulation of tricarboxylic acid (TCA) cycle, proteasome, oxidative phosphorylation and glycolysis pathways in MO fetal livers compared with CON. Inversely expressed miRNAs that target genes in these pathways provide additional support for the importance of these pathways in fetal liver metabolic regulation. Consistent with the observed pathway changes in MO, we found hepatic lipid content was threefold greater in MO than CON fetal livers (p=0.02). Molecular genetic analyses of CON and MO fetal baboon livers revealed dysregulation of Wnt/β-catenin signaling, TCA cycle, proteasome, oxidative phosphorylation and glycolysis pathways in MO livers, all of which are central to fatty acid metabolism and lipid storage. The marked lipid accumulation in MO fetal livers supports our hypothesis that dysregulation of these pathways detrimentally impacts lipid management. Furthermore, our findings demonstrate the detrimental impact of MO on fetal liver development and suggest impaired hepatic function prior to birth.

Project description:The liver is a major site for synthesis, storage and redistribution of carbohydrates, proteins and lipids. In addition, it is well-known that maternal obesity (MO) increases risk of offspring cardiovascular disease (CVD), diabetes and obesity. However, the mechanisms by which the MO intrauterine environment predisposes offspring to CVD and metabolic dysregulation are unknown. The goal of this study was to assess the impact of MO on primate fetal liver and identify underlying molecular mechanisms by which MO increases disease risk. The goal of this study was to identify candidate molecular mechanisms underlying MO in the near-term non-human primate (NHP) fetal liver. This is the first study of NHP fetal MO livers using unbiased transcriptome analysis to quantify hepatic gene expression, identify dysregulated signaling pathways and potential miRNAs regulating the disrupted metabolic processes. Unbiased gene (arrays) and microRNA (miRNA; small RNA-Seq) abundances were quantified in near-term (0.9 Gestation (0.9G)) baboon fetal livers (control (CON) = 6; MO = 5) and subjected to pathway and network analyses (GeneSifter, Ingenuity® Pathway Analysis (IPA)) to identify a coordinated molecular response to MO. Lipid and glycogen content (CON = 16; MO = 16) were quantified by Computer Assisted Stereology Toolbox (CAST) in 0.9G livers. Pairwise comparisons showed 933 differentially expressed genes between CON and MO livers: 350 genes were upregulated and 583 were downregulated. Pathway analysis revealed upregulation of Wnt/β-catenin signaling and downregulation of tricarboxylic acid (TCA) cycle, proteasome, oxidative phosphorylation and glycolysis pathways in MO fetal livers compared with CON. Inversely expressed miRNAs that target genes in these pathways provide additional support for the importance of these pathways in fetal liver metabolic regulation. Consistent with the observed pathway changes in MO, we found hepatic lipid content was threefold greater in MO than CON fetal livers (p=0.02). Molecular genetic analyses of CON and MO fetal baboon livers revealed dysregulation of Wnt/β-catenin signaling, TCA cycle, proteasome, oxidative phosphorylation and glycolysis pathways in MO livers, all of which are central to fatty acid metabolism and lipid storage. The marked lipid accumulation in MO fetal livers supports our hypothesis that dysregulation of these pathways detrimentally impacts lipid management. Furthermore, our findings demonstrate the detrimental impact of MO on fetal liver development and suggest impaired hepatic function prior to birth.

Project description:Specific early diagnosis of renal allograft rejection is gaining importance in the current trend to minimize and individualize immunosuppression. Gene expression analyses could contribute significantly by defining “molecular Banff” signatures. Several previous studies have applied transcriptomics to distinguish different classes of kidney biopsies. However, the heterogeneity of microarray platforms, clinical samples and data analysis methods complicates the identification of robust signatures for the different types and grades of rejection. To address these issues, a comparative meta-analysis was performed across five different microarray datasets of heterogeneous sample collections from two published clinical datasets and three own datasets including biopsies for clinical indications, protocol biopsies, as well as comparative samples from non-human primates (NHP). This work identified conserved gene expression signatures that can differentiate groups with different histopathological findings in both human and NHP, regardless of the technical platform used. The marker panels comprise genes that clearly support the biological changes known to be involved in allograft rejection. A characteristic dynamic expression change of genes associated with immune and kidney functions was observed across samples with different grades of CAN. In addition, differences between human and NHP rejection were essentially limited to genes reflecting interstitial fibrosis progression. This data set here comprises a small validation batch of renal allograft biopsies for clinical indications plus control normal kidney samples from patients at Hôpital Tenon, Paris (second batch) that complements the first batch of 60 samples. We used microarrays to identify different gene expression signatures of renal allograft biopsies that can classify them according to different types of allograft rejection or CAN. Keywords: disease state analysis 4 renal allograft core biopsies for clinical indications with different histopathological diagnoses according to Banff'97 criteria and 2 normal kidney samples.

Dataset Information

Postnatal persistence of sex-dependent renal developmental programmed structural and molecular changes in nonhuman primates

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets