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Paramarasmius palmivorus strain:GH-12

ABSTRACT: Paramarasmius palmivorus strain:GH-12 Genome sequencing and assembly

PROVIDER: PRJNA1061504 | ENA |

REPOSITORIES: ENA

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			Action	DRS
		Other
	SRR27438013_subreads.fastq.gz	Fastqsanger.gz
	SRR27438014_1.fastq.gz	Fastqsanger.gz
	SRR27438014_2.fastq.gz	Fastqsanger.gz

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miRNA analysis after three months on GH treatment and contribute to explain the growth response after 12 months.

Project description:Context: There is growing evidence on the role of epigenetic regulation of growth, and miRNAs potentially play a role. Objective: To identify changes in circulating miRNAs following GH treatment in subjects with isolated idiopathic GH deficiency (IIGHD) after the first 3 months on treatment, and verify whether these early changes can predict growth response. Methods: The expression profiles of 384 miRNAs were analyzed in serum in 10 prepubertal patients with IIGHD (5 M,5 F) at two time points before starting GH treatment (t-3, t0), and at 3 months on treatment (t+3). MiRNAs with a fold change (FC) >±1.5 at t+3 were considered as differentially expressed. In silico analysis of target genes and pathways led to a validation step on 8 miRNAs in 25 patients. Clinical and biochemical parameters were collected at baseline, 6 and 12 months. Simple linear regression analysis and multiple stepwise linear regression models were used to explain the growth response. Results: 16 miRNAs were up-regulated and 2 down-regulated at t+3 months. MiR-199a-5p (p=0.020), miR-335-5p (p=0.001), and miR-494-3p (p=0.026) were confirmed to be up-regulated at t+3. Changes were independent of peak GH values at testing, and levels stabilized after 12 months. The predicted growth response at 12 months was considerably improved compared with models using the common clinical and biochemical parameters. Conclusion: miR-199a-5p, miR-335-5p, and miR-494-3p changed after 3 months on GH treatment and likely reflected both the degree of GH deficiency and the sensitivity to treatment. Furthermore, they were of considerable importance to predict growth response.

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