Age and sex differences in kidney microRNA expression during the life span of F344 rats

34Citations
Citations of this article
34Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Background: Growing evidence suggests that epigenetic mechanisms of gene regulation may play a role in susceptibilities to specific toxicities and adverse drug reactions. MiRNAs in particular have been shown to be important regulators in cancer and other diseases and show promise as predictive biomarkers for diagnosis and prognosis. In this study, we characterized the global kidney miRNA expression profile in untreated male and female F344 rats throughout the life span. These findings were correlated with sex-specific susceptibilities to adverse renal events, such as male-biased renal fibrosis and inflammation in old age. Methods: Kidney miRNA expression was examined in F344 rats at 2, 5, 6, 8, 15, 21, 78, and 104 weeks of age in both sexes using Agilent miRNA microarrays. Differential expression was determined using filtering criteria of ≥ 1.5 fold change and ANOVA or pairwise t-test (FDR <5%) to determine significant age and sex effects, respectively. Pathway analysis software was used to investigate the possible roles of these target genes in age- and sex-specific differences. Results: Three hundred eleven miRNAs were found to be expressed in at least one age and sex. Filtering criteria revealed 174 differentially expressed miRNAs in the kidney; 173 and 34 miRNAs exhibiting age and sex effects, respectively. Principal component analysis revealed age effects predominated over sex effects, with 2-week miRNA expression being much different from other ages. No significant sexually dimorphic miRNA expression was observed from 5 to 8 weeks, while the most differential expression (13 miRNAs) was observed at 21 weeks. Potential target genes of these differentially expressed miRNAs were identified. Conclusions: The expression of 56% of detected renal miRNAs was found to vary significantly with age and/or sex during the life span of F344 rats. Pathway analysis suggested that 2-week-expressed miRNAs may be related to organ and cellular development and proliferation pathways. Male-biased miRNA expression at older ages correlated with male-biased renal fibrosis and mononuclear cell infiltration. These miRNAs showed high representation in renal inflammation and nephritis pathways, and included miR-214, miR-130b, miR-150, miR-223, miR-142-5p, miR-185, and miR-296∗. Analysis of kidney miRNA expression throughout the rat life span will improve the use of current and future renal biomarkers and inform our assessments of kidney injury and disease.

Figures

  • Table 1 Histopathology average severity score
  • Figure 1 Differential expression of miRNAs was calculated for age effects (ANOVA FDR <5%, post hoc test for multiple comparisons (p < 0.05), and fold change ≥1.5 between any two age groups; males and females analyzed independently) and sex effects (pairwise t-test, FDR <5% and ≥1.5 fold change between average female and male animals at each age).
  • Figure 2 One hundred seventy-four miRNAs meeting threshold criteria (ANOVA FDR <5%, post hoc test for multiple comparisons (p < 0.05), and fold change ≥1.5) for differential expression by age or sex were included in principal component analysis. Each sphere represents the expression profile of one animal plotted in three-dimensional space according to the top three principal components. Spheres of the same color are animals of the same age group (weeks of age). Spheres with black vertices indicated females while those without represent males (n = 4 or 5).
  • Figure 3 Differentially expressed miRNAs (174 miRNAs) were clustered in 10 k-means clusters. Ten clusters were chosen as an estimate of the number of large-scale expression patterns within the life span. As most miRNA expression changes are very subtle, miRNAs generally clustered according to normalized expression level.
  • Figure 4 The number of miRNAs exhibiting a sex difference in expression (pairwise t-test, FDR <5%, and fold change ≥1.5) was calculated for each age. Groups of 5-, 6-, and 8-week-old rats exhibited no sex differences in miRNA expression, while 21-week-old rats showed the highest number.
  • Table 2 The 17 female-biased miRNAs
  • Table 3 The 17 male-biased miRNAs
  • Figure 5 Plots of individual miRNAs (microarray data) exhibiting sex and age differences in expression are shown (n = 4 or 5). A, B, and C show miRNAs exhibiting female-biased miRNA expression; D, E, F, and G show male-biased miRNAs; H and I show young age expressed miRNAs; and J, K, and L show old age expressed miRNAs. Bars represent normalized intensity values per age group; blue and red colors represent male and female data, respectively. Asterisks indicate ages where sex difference in expression is statistically significant (t-test, FDR <5%).

References Powered by Scopus

Circulating microRNAs as stable blood-based markers for cancer detection

7101Citations
N/AReaders
Get full text

Silencing of microRNAs in vivo with 'antagomirs'

3565Citations
N/AReaders
Get full text

MicroRNAs and their targets: Recognition, regulation and an emerging reciprocal relationship

1375Citations
N/AReaders
Get full text

Cited by Powered by Scopus

Editorial focus: Understanding off-target effects as the key to successful RNAi therapy

93Citations
N/AReaders
Get full text

Considering sex as a biological variable in basic and clinical studies: An endocrine society scientific statement

79Citations
N/AReaders
Get full text

Plasma and saliva miR-21 expression in colorectal cancer patients

71Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Kwekel, J. C., Vijay, V., Desai, V. G., Moland, C. L., & Fuscoe, J. C. (2015). Age and sex differences in kidney microRNA expression during the life span of F344 rats. Biology of Sex Differences, 6(1). https://doi.org/10.1186/s13293-014-0019-1

Readers over time

‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘25036912

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 12

55%

Researcher 7

32%

Professor / Associate Prof. 3

14%

Readers' Discipline

Tooltip

Medicine and Dentistry 7

35%

Agricultural and Biological Sciences 6

30%

Biochemistry, Genetics and Molecular Bi... 5

25%

Pharmacology, Toxicology and Pharmaceut... 2

10%

Article Metrics

Tooltip
Social Media
Shares, Likes & Comments: 11

Save time finding and organizing research with Mendeley

Sign up for free
0