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Biology of Sex Differences logoLink to Biology of Sex Differences
. 2018 May 8;9:18. doi: 10.1186/s13293-018-0177-7

Sex-specific microRNA expression networks in an acute mouse model of ozone-induced lung inflammation

Nathalie Fuentes 1, Arpan Roy 2, Vikas Mishra 1, Noe Cabello 1, Patricia Silveyra 1,3,
PMCID: PMC5941588  PMID: 29739446

Abstract

Background

Sex differences in the incidence and prognosis of respiratory diseases have been reported. Studies have shown that women are at increased risk of adverse health outcomes from air pollution than men, but sex-specific immune gene expression patterns and regulatory networks have not been well studied in the lung. MicroRNAs (miRNAs) are environmentally sensitive posttranscriptional regulators of gene expression that may mediate the damaging effects of inhaled pollutants in the lung, by altering the expression of innate immunity molecules.

Methods

Male and female mice of the C57BL/6 background were exposed to 2 ppm of ozone or filtered air (control) for 3 h. Female mice were also exposed at different stages of the estrous cycle. Following exposure, lungs were harvested and total RNA was extracted. We used PCR arrays to study sex differences in the expression of 84 miRNAs predicted to target inflammatory and immune genes.

Results

We identified differentially expressed miRNA signatures in the lungs of male vs. female exposed to ozone. In silico pathway analyses identified sex-specific biological networks affected by exposure to ozone that ranged from direct predicted gene targeting to complex interactions with multiple intermediates. We also identified differences in miRNA expression and predicted regulatory networks in females exposed to ozone at different estrous cycle stages.

Conclusion

Our results indicate that both sex and hormonal status can influence lung miRNA expression in response to ozone exposure, indicating that sex-specific miRNA regulation of inflammatory gene expression could mediate differential pollution-induced health outcomes in men and women.

Electronic supplementary material

The online version of this article (10.1186/s13293-018-0177-7) contains supplementary material, which is available to authorized users.

Keywords: Lung miRNome, Estrous cycle, Air pollution, miR-712-5p, miR-106a-5p

Background

Ground-level ozone (O3) is a reactive oxidant gas that is a major constituent of air pollution [1]. Ozone is formed by the photochemical reactions of carbon monoxide, nitrogen oxides, and chemically active hydrocarbons also known as volatile organic compounds and mostly occurs downwind of major cities. The association of short-term ambient exposure of O3 with the incidence of respiratory afflictions such as asthma, idiopathic pulmonary fibrosis, and chronic obstructive pulmonary disease (COPD), as well as cardiovascular mortality indicates that O3 is a powerful toxicant for the cardiorespiratory system [26]. In addition, epidemiological studies have reported sex differences in the incidence and prognosis of pollution-induced respiratory diseases and have shown that women are at increased risk of adverse health outcomes from O3, particulate matter, and cigarette smoke exposure than men [710].

Being a gaseous pollutant, the primary effect of O3 occurs in the lung causing a range of respiratory ailments [1113]. The mechanisms by which O3 mediates these effects involve generation of reactive oxygen species (ROS) triggering oxidative stress [14]. In addition, pro-inflammatory cytokines have been implicated as potential mediators of lung oxidative injury in response to air pollution exposure [15]. Among these cytokines, interleukin-6 (IL-6) contributes to the initiation and extent of the inflammatory process [16]. In a previous study, we have demonstrated that expression of IL-6 in the lung is significantly induced by O3 inhalation in both males and females, with significantly higher levels in females vs. males [17]. However, to this day, the molecular mechanisms involved in the observed sex differences remain unknown.

In the last couple of decades, a novel post-transcriptional gene regulation machinery has been identified with the discovery of short (19–25 nucleotides), naturally occurring, non-coding RNA molecules, known as microRNAs (miRNAs). This class of small RNA molecules is evolutionarily conserved and functions in the fine-tuning of gene expression by direct translational inhibition and/or induction of target mRNA degradation [18]. It has also been reported that miRNAs can be oxidized in response to oxidative stress, via guanine hydroxylation, altering their ability to bind to target mRNA sequences [19]. In addition, miRNAs are involved in various important biological processes such as the immune response, cell differentiation, developmental processes, and apoptosis [20, 21]. In the lung, miRNAs play important roles in developmental processes and in homeostasis maintenance, and their abnormal expression has been associated with the development and progression of various pulmonary diseases [2225].

The role of miRNAs in lung development was first elucidated in mice, where conditional deletion of Dicer (an important enzyme of the miRNA synthesis pathway) in lung epithelial cells resulted in impaired epithelial branching and developmental abnormalities and also led to dysregulated cell death [26]. In addition, abnormal expression of miRNAs has been correlated with the occurrence of pulmonary disorders such as asthma, COPD, and lung cancer in both children and adults [2731]. Despite the known sex disparities in the incidence and severity of these diseases [32, 33], there are currently very few studies exploring the role of miRNAs in mediating these sex-biased disease outcomes [34].

We have previously reported sex differences in the expression of lung inflammatory markers in response to O3, and we have shown that pre-exposure to this air pollutant affected lung immunity in a sex-specific manner [3537]. Additional studies revealed a potential role of gonadal hormones in this regulation [38]. However, the molecular mechanisms by which the male and female lungs respond to ambient O3, and the specific role of miRNAs in this regulation, have not yet been explored. Based on these preliminary data, we hypothesized that sex-specific miRNA expression can mediate gender-specific immune responses to O3 via modulation of pulmonary inflammatory gene expression. Thus, the goal of this study was to determine whether sex and hormonal status could modulate lung miRNA expression networks during O3-induced acute inflammation. For this, we compared the expression of specific miRNAs in the lungs of male and female mice exposed to O3 or filtered air (FA, control), and we used bioinformatics approaches to compare predicted regulatory networks and target genes associated with innate immunity and inflammation. With the goal of evaluating potential contributions of female sex hormones to these networks, we also evaluated differences in the lung miRNA expression of female mice exposed to O3 or FA at different stages of the estrous cycle. Our results indicate that O3 exposure differentially affects lung miRNA expression in male and female mice and that the stage of the estrous cycle does affect the miRNA expression signature. We also identified miRNAs that have been previously associated with IL-6 regulation and that were differentially expressed in females and males in response to O3 challenge [39, 40]. To our knowledge, this is the first study investigating both inflammatory miRNA networks and hormonal influences in response to O3 exposure. This information can have significant implications for environmental and women’s health and the development of novel therapeutics to treat and prevent lung disease in women.

Methods

Animals

Adult male and female mice (8 weeks of age) from the C57BL/6 background were purchased from JAX laboratories (Bar Harbor, ME) and housed and maintained in a 12/12-h light/dark cycle with food and water available ad libitum. The Pennsylvania State University College of Medicine Institutional Animal Care and Use Committee (IACUC) approved all procedures (protocol #42135). The institution is accredited by the Association for Assessment and Accreditation of Laboratory Animal Care (AAALAC).

Assessment of estrous cycle stage

We determined estrous cycle stage in female mice by analysis of daily vaginal secretions for at least three consecutive cycles, as described previously [41]. For this, a smear of vaginal flush was prepared and observed under light microscope. Based on the smear appearance, the estrous cycle stage was determined by the proportion of nucleated epithelial cells, leukocytes, and cornified cells, as follows: proestrus (predominantly nucleated epithelial cells), estrus (predominantly anucleated cornified cells), diestrus 1/metestrus (all three types of cells), and diestrus 2 (majority of leukocytes). Animals that did not show regular cycles due to pseudopregnancy or other causes were excluded from the experiment.

Exposure to O3

Male mice and female mice at different stages of the estrous cycle (n = 3–9 animals per group) were placed in glass containers with wire mesh lids containing bedding, food, and water ad libitum. Nest packs were also provided to the experimental animals to provide enrichment material to promote normal behavior and limit the extent of stress and fighting. On the day of the experiment, mice were exposed to 2 ppm of O3 for 3 h, using an exposure chamber (2.089 ± 0.021 ppm). [42]. Control animals were exposed to filtered air (FA) for 3 h in an adjacent chamber. The apparatus delivers a regulated air flow (> 30 air changes/hour) with controlled temperature (25 °C) and relative humidity (50%). Following exposure, animals were removed from the apparatus, and samples were collected as described below. At 4 h after exposure, animals were anesthetized with an intraperitoneal injection of a ketamine/xylazine cocktail (90 mg/kg ketamine, 10 mg/kg xylazine). A midline incision was made, and blood was collected by aspiration from the inferior vena cava. Mice were then euthanized by transection of the vena cava and aorta. Total lung tissue was collected and snap frozen in liquid nitrogen for miRNA expression experiments. To control for any circadian variations and to be able to monitor evening hormone peaks associated with estrous cycle stages, we exposed all animals at the same time of the day (11:00 am–2:00 pm) regardless of cycle day. The lungs and blood were harvested at 6:00 pm. The concentration of O3 used in this study is higher than that normally found in the atmosphere. The rationale for using this concentration is that higher doses are required for rodents vs. humans to reach comparable O3 concentrations in the distal lung [43] and that rodents acutely exposed to 2 ppm of O3 show comparable or lower levels of inflammatory markers than exercising humans exposed to much lower concentrations (0.4 ppm) [44].

Serum hormone determinations

To verify the estrous cycle stage in females, serum levels of estradiol and luteinizing hormone were determined by ELISA (cats. #MBS9424676 and #MBS041300, MyBioSource, San Diego, CA).

RNA preparation

Total RNA was extracted from pulverized tissue using Trizol and the Direct-Zol RNA extraction kit (Zymo Research), following the manufacturer’s instructions. Total RNA concentration was measured by Nanodrop, and RNA quality was confirmed by Bioanalyzer as indicated by RIN > 7 at the Pennsylvania State University College of Medicine Genome Sciences Core Facility.

miRNA profiling

Small RNAs were retro-transcribed from 200 ng of total RNA using the miScript II RT kit (Qiagen). The expression of 84 mouse miRNAs predicted to regulate inflammatory genes was assayed with the Mouse Inflammatory Response and Autoimmunity miRNA PCR Array (MIMM-105Z, Qiagen). A list of miRNAs and predicted targets can be found at https://www.qiagen.com/us/shop/pcr/primer-sets/miscript-mirna-pcr-arrays/?catno=MIMM-105Z#geneglobe.

Data analysis

Results were analyzed using the QuantStudio 12K Flex Software, and Ct values were exported to MS excel. Data were processed following recommendations described in studies using similar samples. Briefly, data were analyzed in excel using Ct values for each sample, normalized to the average Ct of five miRNA housekeeping miRNAs controls (SNORD61, SNORD68, SNORD72, SNORD95, SNORD96A, RNU6-2) as ΔCt = (Ct_Target − Ct_housekeeping). For fold change calculations, ΔΔCt-based fold-change values were obtained using sample 27 as control, using the Livak method (2− ΔΔCt, where − ΔΔCt = − [ΔCttest − ΔCtcontrol]) [45]. Arrays shown in figures are representative of fold changes calculated with this method. Statistical analyses were performed with the R software using the Bioconductor limma package to detect differences among treatments and correcting for multiple comparisons using the Benjamini-Hochberg method [46]. Differential expression was defined as a Benjamini-Hochberg false discovery rate (FDR) of less than 0.05.

Ingenuity pathway analysis

Significantly altered transcripts from analysis with PCR arrays were used as input for the miRNA Target Filter function in Ingenuity Pathway Analysis (IPA, Qiagen Redwood City, https://www.qiagenbioinformatics.com/products/ingenuity-pathway-analysis/) to find predicted miRNA-regulated target genes differentially expressed in the lungs of males and females exposed to O3. Using the premise that reciprocal expression patterns exist between miRNA and their predicted gene targets within the defined list of differentially expressed genes, networks of predicted miRNA-regulated genes were constructed to visualize the potential effects of individual miRNAs on networks. We used the IPA miRNA Target Filter function, which incorporates experimentally demonstrated and in silico predicted miRNA-mRNA interactions from the databases TargetScan, TarBase, and miRecords. IPA was used to perform functional gene enrichment analysis using predicted target genes from miRNA-centered networks. Correlation of expression patterns of miRNAs and differentially expressed transcripts were performed with logarithmic fold changes and P values.

Results

Sex differences in basal miRNA expression

Previous investigations have documented differences in pulmonary function parameters, innate immune responses, and lung disease pathogenesis in female and male mice breathing clean air. With a few exceptions, male mice are usually characterized by weaker immune responses than female mice [47, 48]. In our model, the miRNA expression array data in lung tissue acquired from mice exposed to filtered air showed differences in miRNA expression between males and females (Additional file 1: Figure S1A). Two miRNAs, miR-222-3p and miR-466 k, were differentially expressed. MicroRNA-222-3p and miR-466k were upregulated (log fold change = 0.459) and downregulated (log fold change = − 0.614), respectively, in males vs. females (Additional file 1: Figure S1B). The in silico analysis showed a relationship between these miRNAs and major gene families such as transcription factors and proto-oncogenes (FOS, JUN, FOXO3, FOXP3, E2F1, CDKN2B, CCND1, ARID3B, TP53, KIT), translation regulators (AGO2), transporters (vesicle-mediated transporter CLVS2, channel/pore class transporter BCL2), nuclear receptors (ESR1, RORB), kinases (BRAF, SBK1), growth factors (BDNF), phosphatases (PTEN), and proteins in the extracellular matrix (TIMP3) (Additional file 2: Table S1). IPA analysis revealed that these molecules are associated with top molecular functions such as cell-to-cell signaling and interaction, cellular growth, proliferation, and gene expression (Additional file 3: Figure S2A).

Sex differences in O3-induced lung miRNA expression

The screening of miRNA expression in the lungs of male and female mice exposed to O3 allowed the detection of miRNAs differentially expressed between these two groups. Further analysis performed with IPA revealed that the top molecular functions associated with differentially expressed genes in males vs. females exposed to O3 were linked to cell cycle, cellular development, and cellular growth and proliferation, which are important pathways in the lung inflammatory response. Moreover, the top associated network functions included organismal and tissue development, humoral immune response, nervous system development, and reproductive system development and function. Several of these were also involved in inflammation (miR-130b-3p, miR-17-5p, miR-294a-3p, and miR-338-5p) and targeted key regulators of the immune response including IL-6, SMAD2/3, and TMEM9 (Table 1, Additional file 3: Figure S2B). In total, there were nine miRNAs whose expression was significantly lower in females vs. males exposed to O3 (Fig. 1).

Table 1.

Target genes and associated regulatory networks for differentially expressed miRNAs in lung tissue of male and female mice exposed to ozone

A. Genes targeted by differentially expressed miRNAs
BCL2
CDKN1A
COX8C
DDHD1
ENPP5
FBXO48
FGD4
FICD
GPR158
GPR137C
IL6
MARCH4
MBNL2
MYT1L
PCNX1
PTHLH
RDH14
RP11_65D242
SLITRK3
Smad2/3
SMAD6/7
TMEM9B
ZNF800
B. Differences in top diseases and biofunctions
Diseases and disorders P value
 Cancer 4.80E−02 to 4.62E−11
 Organismal injury and abnormalities 4.80E−02 to 4.62E−11
 Reproductive system disease 4.01E−02 to 4.62E−11
 Endocrine system disease 2.28E−02 to 3.11E−07
C. Top molecular and cellular functions
Molecular and cellular functions P value
 Cell cycle 1.23E−02 to 1.87E−05
 Cellular development 4.05E−02 to 5.81E−05
 Cellular growth and proliferation 3.76E−02 to 5.81E−05
D. Top physiological system development and function
Development and function P value
 Organismal development 3.76E−02 to 1.11E−05
 Tissue development 3.76E−02 to 7.49E−04
 Reproductive system development and function 1.04E−02 to 2.99E−03
E. Top associated network functions
Associated network functions Score
 Cancer, organismal injury, and abnormalities 27

Fig. 1.

Fig. 1

Sex differences in O3-induced lung miRNA expression. a Cluster analysis of 84 miRNAs expressed in lung extracts obtained from male and female mice following exposure to 2 ppm of O3 for 3 h. b Differentially expressed miRNAs in male and female lung extracts. Results are expressed as female miRNA expression levels relative to male miRNA expression levels. M males (n = 8), F females (n = 19), O3_M males exposed to ozone, O3_D1 females exposed to ozone in diestrus 1, O3_D2 females exposed to ozone in diestrus 2, O3_P females exposed to ozone in proestrus, O3_E females exposed to ozone in estrus

Differential regulatory pathways are activated in males vs. females in response to O3

Next, we analyzed sex differences in the miRNA response to O3 vs. FA exposure. Of the eight differentially expressed miRNAs found in both males and females exposed to O3, a total of six miRNAs were upregulated exclusively in males: miR-338-5p (log fold change = 1.636), miR-222-3p (log fold change = 0.699), miR-130b-3p (log fold change = 0.646), let-7i-5p (log fold change = 0.552), miR-195a-5p (log fold change = 0.543), and miR-144-3p (log fold change = 0.427) (Fig. 2). IPA analysis revealed that the top cellular functions associated with these miRNAs and their targets were cell cycle, cell death, cell survival, and cellular movement. The top interaction networks for these miRNAs were related to digestive system development and function, gastrointestinal disease, hepatic system development and function, and inflammatory disorders and response (Table 2). In females, O3 exposure induced the expression of miR-301b-3p (log fold change = 1.652), miR-694 (log fold change = 0.727), miR-669 h-3p (log fold change = 0.679), miR-384-5p (log fold change = 0.455), and miR-9-5p (log fold change = 0.378) and downregulated the expression of miR-30d-5p (log fold change = − 0.204) (Fig. 3). Some of these miRNAs target important regulators of the immune system such as SOCS5 and IL-10RB, which may be altering the lung host defense (Table 2). The top interaction networks in females exposed to O3 were associated with cancer, organismal injury and abnormalities, and reproductive system disease. The top molecular functions affected were cellular development, cellular growth, proliferation, and cell cycle.

Fig. 2.

Fig. 2

Expression of lung miRNAs in males exposed to O3 vs. FA. a Cluster analysis of 84 miRNAs in lung extracts from male mice exposed to 2 ppm of O3 or FA for 3 h. b Differentially expressed miRNAs in males exposed to O3 vs FA. FA filtered air, O3 ozone, FA_M males exposed to filtered air (n = 6), O3_M males exposed to ozone (n = 8)

Table 2.

Summary obtained from IPA analysis of FA and O3 exposed male and female mice

Males Females
A. Genes targeted by differentially expressed miRNAs
ARHGEF38
Cg
CPEB2
CPEB3
ENTPD7
EPHB6
FAM35A
GAREM1
GPR63
Gulo
IL6
KIAA1328
MIGA1
NT5DC1
PLAT
RFX7
SECISBP2L
SKIDA1
SLC38A1
TMCC1
TMEM110
MEM55A
TSPAN13
UTS2B
XKR8
ZCCHC11
APCDD1
ARHGAP12
BTG1
C2orf15
CMTR2
COX8C
DYNC1LI2
ENPP5
FBXO48
FICD
Gulo
IL10RB
INSR
MBNL1
PAPD4
PLSCR4
PXK
RP11_65D242
RRAGD
SLC10A3
SMOC1
SNX2
SOCS5
STIM2
STX6
TMEM170B
ULK2
B. Differences in top diseases and biofunctions
Diseases and disorders P value Diseases and disorders P value
 Gastrointestinal disease 4.98E−02 to 3.39E−07  Cancer, organismal injury and abnormalities 4.85E−02 to 2.22E−10
 Inflammatory disease 4.06E−02 to 3.39E−07  Reproductive system disease 3.24E−02 to 2.22E−10
 Inflammatory response 4.06E−02 to 3.39E−07  Endocrine system disease 3.84E−02 to 2.22E−06
C. Top molecular and cellular functions
Molecular and cellular functions P value Molecular and cellular functions P value
 Cell cycle 1.26E−02 to 3.46E−05  Cellular development 4.06E−02 to 2.54E−04
 Cell death and survival 4.95E−02 to 8.00E−05  Cellular growth and proliferation 4.06E−02 to 2.54E−04
 Cellular movement 4.11E−02 to 9.68E−05  Cell morphology 1.10E−02 to 5.62E−04
D. Top physiological system development and function
Development and function P value Development and function P value
 Digestive system development and function 1.51E−02 to 3.39E−07  Organismal development 4.85E−02 to 2.22E−10
 Hepatic system development and function 1.51E−02 to 3.39E−07  Endocrine system disorders 3.84E−02 to 2.22E−06
 Organ development 4.98E−02 to 3.39E−07  Reproductive system development and function 3.24E−02 to 2.22E−10
E. Top associated network functions
Associated network functions Score Associated network functions Score
 Digestive system development and function, gastrointestinal disease, hepatic system development and function 17  Cancer, organismal injury and abnormalities, reproductive system disease 14

Fig. 3.

Fig. 3

Expression of lung miRNAs in females exposed to O3 vs. FA. a Cluster analysis of 84 inflammatory miRNAs in lung extracts from female mice exposed to 2 ppm of O3 or FA for 3 h. b Differentially expressed miRNAs in females exposed to O3 vs FA. FA filtered air (n = 23), O3 ozone (n = 19), FA_D1 females exposed to filtered air in diestrus 1, FA_D2 females exposed to filtered air in diestrus 2, FA_P females exposed to filtered air in proestrus, FA_E females exposed to filtered air in estrus, O3_D1 females exposed to ozone in diestrus 1, O3_D2 females exposed to ozone in diestrus 2, O3_P females exposed to ozone in proestrus, O3_E females exposed to ozone in estrus

Interestingly, two miRNAs were affected by O3 exposure in both males and females (Fig. 4). Of these, miR-712-5p was the only miRNA found upregulated in both males (log fold change = 0.658) and females (log fold change = 0.543). Interestingly, miR-106a-5p was upregulated in males (log fold change = 0.502) but downregulated in females (log fold change = − 0.302) following O3 exposure. Several genes essential for the lung inflammatory response were predicted to be targeted by these miRNAs (Tables 3 and 4). Comparison of the main pathways affected by O3 also confirmed differentially affected functions in males vs. females. Some miRNAs such as miR-338-5p, miR-106a-5p, and let-7a-5p (affected exclusively in males) were predicted to target the IL-6 family both directly and indirectly (Fig. 5).

Fig. 4.

Fig. 4

Venn diagram of differentially expressed lung miRNAs in male and female mice exposed to O3 vs. FA. Arrows indicate upregulation (red) or downregulation (green) of miRNA expression in lungs tissue of O3-exposed vs. FA-exposed mice

Table 3.

Serum levels of luteinizing hormone (LH), estradiol (E2), and progesterone (P4) at the time of sample collection (6:00 pm) in female mice at different stages of the estrous cycle

LH (mIU/mL) E2 (pg/mL) P4 (ng/mL)
Mean SEM Mean SEM Mean SEM
Metestrus 5.66 0.19 3.77 0.35 1.99 0.20
Diestrus 4.96 0.33 2.59 0.38 5.89 1.84
Proestrus 9.78* 0.43 7.75* 0.55 4.08 0.67
Estrus 5.79 0.44 3.74 0.39 2.49 0.37

*Significant difference vs. all other stages, P < 0.0001

Table 4.

IPA summary of females exposed to ozone in the non-proestrus and proestrus stages

Non-proestrus Proestrus
A. Genes targeted by differentially expressed miRNAs
CAMK2N1
CARS
CYP24A1
DBF4
HMGN2
KMT5A
LRRC17
MDH2
MIS18A
PAFAH1B2
PDE4B
PDE7A
PGM3
PNP
REV1
RPS19BP1
RRAD
SEC62
SEC23A
SNX5
SYT4
THAP12
TMED7
TNFAIP2
TNFRSF10C
TP53
UBE2V2
ZNF420
ABCB9
APOO
ARHGEF38
AVEN
CASP3
CCNJ
CMTR2
CNMD
DSCR8
FGD4
FRMD4B
GPR137B
HMBS
METAP1
MITF
MYC
RGMB
SLC14A1
SLC25A27
SLC38A1
TMCC1
TRIM71
XKR8
ZCCHC11
ZIM3
ZNF181
B. Differences in top diseases and biofunctions
Diseases and disorders P value Diseases and disorders P value
 Inflammatory disease 3.84E−02 to 3.84E−05  Organismal injury and abnormalities 4.96E02 to 2.77E14
 Inflammatory response 3.84E02 to 3.84E05  Reproductive system disease 2.15E02 to 2.77E14
 Organismal injury and abnormalities 4.17E02 to 4.17E05  Cancer 4.96E02 to 1.27E10
C. Top molecular and cellular functions
Molecular and cellular Functions P value Molecular and cellular functions P value
 Cellular development 2.05E02 to 5.26E07  Cellular movement 3.77E02 to 4.47E07
 Cellular compromise 3.75E04 to 3.75E04  Cellular death and survival 4.91E02 to 5.61E06
 Cell cycle 2.62E03 to 2.62E03  Cellular development 4.97E02 to 1.38E06
D. Top physiological system development and function
Development and function P value Development and function P value
 Organismal development 4.17E02 to 1.31E03  Embryonic development 3.30E02 to 2.12E05
 Embryonic development 1.29E02 to 1.29E02  Connective tissue development and function 1.79E02 to 6.10E05
 Connective tissue development and function 1.93E02 to 1.93E02  Tissue morphology 7.88E05 to 7.88E05
E Top associated network functions
Associated network functions Score Associated network functions Score
 Cellular development, inflammatory disease, inflammatory response 6  Organismal injury and abnormalities, reproductive system disease, cancer 19

Fig. 5.

Fig. 5

Differential regulatory networks activated in female and male mice exposed to O3 vs. FA. Diagram of networks of miRNAs whose expression was affected by O3 exposure in female (a) or male (b) mice, generated by IPA. Both diagrams show reported direct (solid lines) and indirect (dashed lines) interactions. Molecules that are downregulated or upregulated are represented as a node in green or red, respectively

Effect of the estrous cycle stage in the miRNA response to O3 exposure

Previous observations suggested that the negative effects of air pollution in women’s lung health may be affected by sex hormones. We sought to evaluate whether fluctuations of circulating hormone levels could influence variations in the miRNA response, by exposing female mice to O3 or FA at different stages of the estrous cycle. For consistency, experiments were conducted at the same time of the day and harvest of samples was performed at 6:00 pm, to allow for the detection of preovulatory luteinizing hormone and estradiol surges in the evening of proestrus (Table 3) [49]. Our data revealed that there is an influence of the estrous cycle in the miRNA response (Fig. 6). Furthermore, comparison of miRNA expression in females exposed to O3 at the proestrus stage vs. all other stages (metestrus, diestrus, or estrus) also revealed differential signatures. Specifically, we found nine differentially expressed miRNAs in females exposed to O3 in proestrus: miR-694 (log fold change = 1.492), miR-9-5p (log fold change = 0.836), miR-712-5p (log fold change = 0.667), miR-181d-5p (log fold change = 0.597), miR-98-5p (log fold change = 0.558), miR-200c-3p (log fold change = 0.525), miR-221-3p (log fold change = 0.385), miR-126a-5p (log fold change = 0.421), and miR-106a-5p (log fold change = − 0.527) (Fig. 7). Two out of the eight upregulated miRNAs (miR-712-5p and miR-694) were not associated with any known pathways by IPA. However, according to the literature, miR-712 and miR-694 are molecules associated with key players in lung inflammation such as CCL8, IL-1RAP, IL-7, STAT5a, VEGFA, and BCL6 (Table 4). Comparison of the biological networks affected by O3 in the proestrus stage by IPA confirmed differentially affected molecules when compared to the other stages of the estrous cycle. Intriguingly, key players in apoptosis (c-Myc, CASP3) and immune regulators (MITF) were present in the network (Fig. 9). The activation of c-Myc and estrogen have been found to lead into the processing/activation of CASP3, which is highly expressed in the airways when severe lung inflammation occurs [5052]. In contrast, in females exposed to O3 in the metestrus (diestrus 1), estrus, and diestrus 2 stages combined, only two miRNAs were found affected (downregulated): miR-23b-3p (log fold change = − 0.330), and miR-30c-5p (log fold change = − 0.328) (Fig. 8). The main molecular functions associated with these were cellular development, cellular compromise, and cell cycle, but also inflammatory disease (Table 4). Curiously, the tumor suppressor TP53 and TMED7, a protein involved in TLR mediated responses, were present in the molecular analysis, suggesting a correlation with the regulation of miR-23b-3p and miR-30c-5p as well as important mediators of lung immunity such as members of the TNF family (Fig. 9).

Fig. 6.

Fig. 6

Differential lung miRNA expression in females exposed to O3 vs. FA at different stages of the estrous cycle. Cluster analysis of 84 miRNAs measured in lung extracts from female mice exposed to 2 ppm of O3 or FA for 3 h. Animals were exposed to O3 or FA at different stages of the estrous cycle (D1 = diestrus 1/metestrus, D2 = diestrus 2, P = proestrus, E = estrus). Estrous cycle stage was confirmed by vaginal smear and circulating sex hormone levels. FA filtered air, O3 ozone. Number of mice per group FA_D1 (n = 4), FA_D2 (n = 4), FA_P (n = 9), FA_E (n = 6), O3_D1 (n = 3), O3_D2 (n = 3), O3_P (n = 9), O3_E (n = 4)

Fig. 7.

Fig. 7

Lung miRNA expression in females exposed to O3 vs. FA in proestrus. a Cluster analysis of nine miRNAs in lung extracts from female mice exposed to O3 or FA in the proestrus stage. b Differentially expressed miRNAs in proestrus females exposed to O3 vs. FA. FA_P females exposed to filtered air in proestrus (n = 9), O3_P females exposed to ozone in proestrus (n = 9)

Fig. 9.

Fig. 9

Comparison of networks affected by FA or O3 exposure in females at different stages of the estrous cycle. Diagram of biological networks associated with miRNAs whose expression was up- or downregulated in the lungs of animals exposed to FA vs. O3 in proestrus (a) or non-proestrus stages (b). Both diagrams show reported direct (solid lines) and indirect (dashed lines) interactions. Molecules that are downregulated or upregulated are represented as a node in green or red, respectively. Network analysis was performed with Ingenuity Pathway Analysis

Fig. 8.

Fig. 8

Lung miRNA expression in females exposed to O3 vs. FA in non-proestrus cycle stages. a Cluster analysis of two inflammatory miRNAs in lung extracts from female mice exposed to O3 or FA in metestrus (diestrus 1), diestrus (diestrus 2), or estrus (grouped as “non-proestrus” stages). b Differentially expressed miRNAs in non-proestrus females exposed to O3 vs. FA. FA_noP females exposed to filtered air in non-proestrus stages (n = 14), O3_noP females exposed to ozone in non-proestrus stages (n = 10)

Discussion

Clinical studies have reported differential outcomes for lung disease in men vs. women, as well as an increased susceptibility for women to the damaging effects of air pollution. Despite this evidence, the associated mechanisms of the pollution-induced inflammatory response in the male and female lung remain unknown. In our previous work, we reported sex-specific expression of inflammatory mediators in response to O3 exposure and a potential role of circulating hormone levels in the control of cytokine expression and associated intracellular pathways [35, 36]. In the current study, we have further characterized sex-specific miRNA signatures in the lungs of male and female mice activated in response to O3 exposure and contributions of the estrous cycle to this regulation, since miRNAs have been previously reported as key regulators of oxidative stress responses in various tissues and diseases [53]. Our analysis using PCR arrays revealed multiple trends towards differences in miRNA expression that, although not strictly statistically significant due to lack of power, provide useful information on biological pathways affected in the male and female lung. Importantly, our results show differences in miRNA expression and differential activation of regulatory pathways in the lungs of male and female mice exposed to both FA and O3. Moreover, we found differences in the lung miRNA profiles of female mice exposed to O3 at different stages of the estrous cycle. Together, our data indicate that both sex and hormonal status can influence lung miRNA expression and, therefore, regulation of inflammatory genes, in response to O3 exposure.

The lung expresses both estrogen and progesterone receptors, and these control multiple functions of the organ [54, 55]. Several studies, including ours, have hypothesized that female sex hormones can act as physiological modulators of lung function and immunity, via inflammatory gene expression regulation [36, 56, 57]. Evidence from clinical studies reporting menstrual cycle-dependent asthma exacerbations in women and variations in respiratory disease clinical outcomes with pregnancy and oral contraceptive use are in agreement with this hypothesis [58, 59]. A potential mechanism by which sex hormones can effectively affect gene expression is through modulation of inflammatory gene expression by miRNAs. While other studies have explored the contributions of sex hormones to the miRNome [60], to our knowledge, this is the first study reporting sex-specific and estrous cycle day-specific miRNA profiles in response to O3 exposure. Our results also showed that the lungs of male and female mice express different miRNA profiles under basal conditions, suggesting specific roles for these miRNAs in the male and female lung.

Comparison of basal miRNA expression in males vs. females revealed two miRNAs that were differentially expressed, miR-222-3p and miR-466k. Most of the predicted gene networks affected by these miRNAs were associated with cellular growth, proliferation, and cancer. However, miR-466k is downregulated in females exposed to O3. The miR-466 family affects apoptosis regulation in mammalian cells and is a master regulator of several pathways associated with regulatory T cell development and function [61, 62]. In response to O3, both groups had a total of eight miRNAs that were differentially expressed. There were several similarities and differences between the groups in terms of gene networks affected. The group of miRNAs upregulated in the lungs of female mice exposed to O3 was associated with important inflammatory pathways such as the IL-10 and SOCS families. On the other hand, most miRNAs differentially expressed in male mice exposed to O3 were linked to the IL-6 family. Together, these results suggest that O3 induces unique molecular signatures and miRNA expression profiles in the male and female lung, contributing to the previously reported sex differences in inflammatory gene expression and lung immune function.

Of particular interest is the involvement of miR-712 in the regulation of the immune response and O3-induced lung inflammation. While IPA did not associate any regulatory pathways to this miRNA, there is an apparent increase in the expression of this miRNA in females when compared to males exposed to O3. In addition, previous studies have shown that miR-712 downregulates a tissue inhibitor of metalloproteinase 3 (TIMP3), which in turn activates matrix metalloproteinases 2 and 9 (MMP2, MMP9), as well as a disintegrin and metalloproteases 10 and 17 (ADAM10, ADAM17) [40]. These metalloproteinases stimulate inflammation and, therefore, the expression of cytokines such as IL-6 and its receptor (IL6R), which according to our previous studies are highly expressed in the lungs of female mice exposed to O3 [35]. In addition, our data showed high expression of let-7i-5p in males, but not females, exposed to O3. Interestingly, this miRNA is known for inhibiting IL-6 expression, which levels are significantly higher in lung tissue from females vs. males exposed to O3 [36].

The comparison of miRNA expression in female mice exposed to FA vs. O3 revealed upregulation of both miR-9-5p and miR-130a-3p, which are known for targeting SOCS5 and altering macrophage polarization, respectively [63, 64]. The significance of these findings relies on the fact that these targeted molecules are involved in T cell differentiation and that it has been suggested that the susceptibility of female mice to O3 may be due to a Th1/Th2 imbalance [65]. Our results also showed that miR-106a-5p was upregulated in males exposed to O3 but downregulated in females exposed to O3 in the proestrus stage. It has been shown that miR-106a-5p targets interleukin-10 (IL-10), an anti-inflammatory cytokine that is defective in many inflammatory diseases including asthma and allergic lung inflammation [66]. Intriguingly, knockdown of this miRNA in an established allergic airway inflammation significantly alleviated most of the features of asthma such as airway hyperresponsiveness, increased Th2 response, and sub-epithelial fibrosis, along with increased IL-10 levels in the lungs of male mice [67]. However, the role of miR-106a-5p and its relationship with sex hormones and environmental pollutants remains unexplored in the female lung.

More recently, environmental factors such as O3 and airborne particulate matter have been linked to altered miRNA expression, suggesting that miRNAs may be involved in the adverse health effects of air pollution exposure [68]. Our results suggest a link between miRNAs and top diseases such as cancer and endocrine disorders. In the particular case of lung cancer, several studies have showed that certain miRNA profiles classified lung cancer subtypes and that specific miRNA expression signatures associated with lung cancer prognosis [69]. Both miR-221 (highly expressed in the proestrus stage of females exposed to O3) and miR-222 (upregulated in males exposed to O3) are involved in the development and progression of lung cancer by targeting the tumor suppressor genes PTEN and TIMP3 [70]. Moreover, overexpression of miR-221/222 is known to inhibit apoptosis and promote cell migration by downregulating PTEN and TIMP3 [71]. More importantly, miR-221/222 has been reported to target estrogen receptor alpha (ESR1), and miR-221-3p has been shown to regulate IL-6 release from abnormal airway smooth muscle in patients with severe asthma, especially women [72, 73]. Finally, we found that miR-23b-3p was downregulated in females exposed to O3 in non-proestrus stages (i.e., when estrogen levels are low) but not in females exposed in proestrus. To this end, studies have shown that miR-23b inhibits TGF-β1-induced airway smooth muscle proliferation and promotes apoptosis, indicating a potential role of this miRNA in lung functions and diseases that are affected by the menstrual cycle [7477].

In summary, our studies presented here revealed sex-specific miRNA expression networks in the lungs of mice exposed to O3 or FA. Major differences involved pathways linked to the inflammatory response, endocrine diseases, respiratory function, and cancer. In addition, we identified an estrous cycle-dependent miRNA signature in females exposed to O3. Interestingly, more miRNAs were affected in females exposed to the air pollutant in the proestrus stage of the cycle (i.e., when circulating hormone levels are high) vs. the rest of the stages, indicating that sex hormones could potentially contribute to the immune response to air pollution via regulation of miRNAs. Future studies using ovariectomy and hormone replacement prior to O3 exposure could help elucidate the mechanisms behind this differential expression.

Conclusion

Using a mouse model, we found differential activation of miRNA regulatory networks in males vs. females in response to O3 exposure. Our data revealed that both sex and hormonal status can influence the lung miRNA response to O3. We also found altered expression of miRNAs that have been previously associated with IL-6 regulation in response to O3, in females and males, as well as sex differences in their expression levels. Together, these results indicate that sex-specific miRNA regulation of inflammatory gene expression could mediate differential health outcomes in men and women exposed to air pollution. This information can have significant implications for environmental health and help in the development of novel sex/gender-specific therapeutics to treat and prevent lung disease.

Additional files

Additional file 1: (320.1KB, pdf)

Figure S1. Sex differences in inflammatory miRNA expression. A. Cluster analysis of 84 inflammatory miRNAs in lung extracts from male and female mice. B. Individual expression of miRNAs differentially expressed in lung tissue from males vs. females. M, males (n = 6); F females (n = 23). FA_M males exposed to filtered air, FA_D1 females exposed to filtered air in diestrus 1, FA_D2 females exposed to filtered air in diestrus 2, FA_P females exposed to filtered air in proestrus, FA_E females exposed to filtered air in estrus. (PDF 320 kb)

Additional file 2: (23.8KB, docx)

Table S1. Target genes and associated pathways for differentially expressed miRNAs in lung tissue of unexposed male and female mice. (DOCX 23 kb)

Additional file 3: (374.9KB, pdf)

Figure S2. Sex differences in networks affected by differentially expressed miRNAs. Diagram of biological networks affected by differentially expressed miRNAs in the lungs of male and female animals exposed to FA (A) of O3 (B). Both diagrams show reported direct (solid lines) and indirect (dashed lines) interactions. Molecules that are downregulated or upregulated are represented as a node in green or red, respectively. Network analysis was performed with Ingenuity Pathway Analysis. (PDF 374 kb)

Acknowledgements

The authors thank the Pennsylvania State University College of Medicine Genome Sciences Core Facility for the Bioanalyzer analysis and real-time PCR equipment. The authors also thank Dr. Joanna Floros and Susan DiAngelo for the assistance with O3 exposure experiments.

Funding

This research was supported by grants from NIH K01HL133520 (PS) and K12HD055882 (PS).

Availability of data and materials

The datasets generated and analyzed during the current study are available in the Silveyra lab repository, available at http://psilveyra.github.io/silveyralab/. Datasets and analyzed data have also been submitted to Gene Expression Omnibus under number GSE111667, available at https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE111667.

Abbreviations

ADAM10

A disintegrin and metalloproteases 10

ADAM17

A disintegrin and metalloproteases 17

COP

Chronic obstructive pulmonary disease

D1

Diestrus 1/metestrus

D2

Diestrus

E

Estrus

FA

Filtered air

FA_D1

Females exposed to filtered air in diestrus 1

FA_D2

Females exposed to filtered air in diestrus 2

FA_E

Females exposed to filtered air in estrus

FA_M

Males exposed to filtered air

FA_noP

Females exposed to filtered air in non-proestrus stages

FA_P

Females exposed to filtered air in proestrus

FDR

Benjamini-Hochberg false discovery rate

IACUC

Institutional Animal Care and Use Committee

IL-10

Interleukin-10

IL-6

Interleukin-6

miRNAs

MicroRNAs

MMP2

Matrix metalloproteinases 2

MMP9

Matrix metalloproteinases 9

O3

Ozone

O3_D1

Females exposed to ozone in diestrus 1

O3_D2

Females exposed to ozone in diestrus 2

O3_E

Females exposed to ozone in estrus

O3_M

Males exposed to ozone

O3_noP

Females exposed to ozone in non-proestrus stages

O3_P

Females exposed to ozone in proestrus

P

Proestrus

ROS

Reactive oxygen species

TIMP3

Tissue inhibitor of metalloproteinase 3

Authors’ contributions

NF, VM, and NC carried out the studies; performed the acquisition, analysis, and interpretation of data; and helped PS in drafting of the manuscript. AR assisted with the miRNA array data analysis and manuscript editing. PS designed the project, supervised the execution of experiments, performed data analysis, and prepared the manuscript. All authors read and approved the final version of the manuscript.

Ethics approval and consent to participate

This study was approved by the Pennsylvania State University College of Medicine Institutional Animal Care and Use Committee (IACUC), under protocol #42135 “Gender Differences in Lung Disease Susceptibility in Response to Oxidative Stress: Role of miRNAs.”

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Footnotes

Electronic supplementary material

The online version of this article (10.1186/s13293-018-0177-7) contains supplementary material, which is available to authorized users.

References

  • 1.Brunekreef B. The continuing challenge of air pollution. Eur Respir J. 2010;36(4):704–705. doi: 10.1183/09031936.00081910. [DOI] [PubMed] [Google Scholar]
  • 2.Tager IB, Balmes J, Lurmann F, Ngo L, Alcorn S, Künzli N. Chronic exposure to ambient ozone and lung function in young adults. Epidemiology. 2005;16(6):751–759. doi: 10.1097/01.ede.0000183166.68809.b0. [DOI] [PubMed] [Google Scholar]
  • 3.Fernandez R, Ariza M, Iscar M, Martinez C, Rubinos G, Gagatek S, Montoliu MA, Casan P. Impact of environmental air pollutants on disease control in asmathic patients. Lung. 2015;193(2):195–198. doi: 10.1007/s00408-015-9695-9. [DOI] [PubMed] [Google Scholar]
  • 4.Ciencewicki J, Trivedi S, Kleeberger SR. Oxidants and the pathogenesis of lung diseases. J Allergy Clin Immunol. 2008;122(3):456–468. doi: 10.1016/j.jaci.2008.08.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Delfino RJ, Coate BD, Zeiger RS, Seltzer JM, Street DH, Koutrakis P. Daily asthma severity in relation to personal ozone exposure and outdoor fungal spores. Am J Respir Crit Care Med. 1996;154(3 Pt 1):633–641. doi: 10.1164/ajrccm.154.3.8810598. [DOI] [PubMed] [Google Scholar]
  • 6.Sesé L, Nunes H, Cottin V, Sanyal S, Didier M, Carton Z, Israel-Biet D, Crestani B, Cadranel J, Wallaert B, et al. Role of atmospheric pollution on the natural history of idiopathic pulmonary fibrosis. Thorax. 2017;73(2):145–50. [DOI] [PubMed]
  • 7.Falagas ME, Mourtzoukou EG, Vardakas KZ. Sex differences in the incidence and severity of respiratory tract infections. Respir Med. 2007;101(9):1845–1863. doi: 10.1016/j.rmed.2007.04.011. [DOI] [PubMed] [Google Scholar]
  • 8.Almqvist C, Worm M, Leynaert B. Impact of gender on asthma in childhood and adolescence: a GA2LEN review. Allergy. 2008;63(1):47–57. doi: 10.1111/j.1398-9995.2007.01524.x. [DOI] [PubMed] [Google Scholar]
  • 9.de Torres JP, Cote CG, Lopez MV, Casanova C, Diaz O, Marin JM, Pinto-Plata V, de Oca MM, Nekach H, Dordelly LJ, et al. Sex differences in mortality in patients with COPD. Eur Respir J. 2009;33(3):528–535. doi: 10.1183/09031936.00096108. [DOI] [PubMed] [Google Scholar]
  • 10.Varkey AB. Chronic obstructive pulmonary disease in women: exploring gender differences. Curr Opin Pulm Med. 2004;10(2):98–103. doi: 10.1097/00063198-200403000-00003. [DOI] [PubMed] [Google Scholar]
  • 11.Bromberg PA. Mechanisms of the acute effects of inhaled ozone in humans. Biochim Biophys Acta. 2016;1860(12):2771–2781. doi: 10.1016/j.bbagen.2016.07.015. [DOI] [PubMed] [Google Scholar]
  • 12.Kelly FJ, Fussell JC. Air pollution and airway disease. Clin Exp Allergy. 2011;41(8):1059–1071. doi: 10.1111/j.1365-2222.2011.03776.x. [DOI] [PubMed] [Google Scholar]
  • 13.Jerrett M, Burnett RT, Pope CA, 3rd, Ito K, Thurston G, Krewski D, Shi Y, Calle E, Thun M. Long-term ozone exposure and mortality. N Engl J Med. 2009;360(11):1085–1095. doi: 10.1056/NEJMoa0803894. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Voter KZ, Whitin JC, Torres A, Morrow PE, Cox C, Tsai Y, Utell MJ, Frampton MW. Ozone exposure and the production of reactive oxygen species by bronchoalveolar cells in humans. Inhal Toxicol. 2001;13(6):465–483. doi: 10.1080/08958370151131837. [DOI] [PubMed] [Google Scholar]
  • 15.Bhatia M, Zemans RL, Jeyaseelan S. Role of chemokines in the pathogenesis of acute lung injury. Am J Respir Cell Mol Biol. 2012;46(5):566–572. doi: 10.1165/rcmb.2011-0392TR. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Yu M, Zheng X, Witschi H, Pinkerton KE. The role of interleukin-6 in pulmonary inflammation and injury induced by exposure to environmental air pollutants. Toxicol Sci. 2002;68(2):488–497. doi: 10.1093/toxsci/68.2.488. [DOI] [PubMed] [Google Scholar]
  • 17.Cabello N, Mishra V, Sinha U, DiAngelo SL, Chroneos ZC, Ekpa NA, Cooper TK, Caruso CR, Silveyra P. Sex differences in the expression of lung inflammatory mediators in response to ozone. Am J Physiol Lung Cell Mol Physiol. 2015;309(10):L1150–L1163. doi: 10.1152/ajplung.00018.2015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Rebane A, Akdis CA. MicroRNAs: essential players in the regulation of inflammation. J Allergy Clin Immunol. 2013;132(1):15–26. doi: 10.1016/j.jaci.2013.04.011. [DOI] [PubMed] [Google Scholar]
  • 19.Wang JX, Gao J, Ding SL, Wang K, Jiao JQ, Wang Y, Sun T, Zhou LY, Long B, Zhang XJ, et al. Oxidative modification of miR-184 enables it to target Bcl-xL and Bcl-w. Mol Cell. 2015;59(1):50–61. doi: 10.1016/j.molcel.2015.05.003. [DOI] [PubMed] [Google Scholar]
  • 20.Mehta A, Baltimore D. MicroRNAs as regulatory elements in immune system logic. Nat Rev Immunol. 2016;16(5):279–294. doi: 10.1038/nri.2016.40. [DOI] [PubMed] [Google Scholar]
  • 21.O'Connell RM, Rao DS, Chaudhuri AA, Baltimore D. Physiological and pathological roles for microRNAs in the immune system. Nat Rev Immunol. 2010;10(2):111–122. doi: 10.1038/nri2708. [DOI] [PubMed] [Google Scholar]
  • 22.Sessa R, Hata A. Role of microRNAs in lung development and pulmonary diseases. Pulm Circ. 2013;3(2):315–328. doi: 10.4103/2045-8932.114758. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Ezzie ME, Crawford M, Cho JH, Orellana R, Zhang S, Gelinas R, Batte K, Yu L, Nuovo G, Galas D, et al. Gene expression networks in COPD: microRNA and mRNA regulation. Thorax. 2011;67(2):122–31. [DOI] [PubMed]
  • 24.Fanini F, Vannini I, Amadori D, Fabbri M. Clinical implications of microRNAs in lung cancer. Semin Oncol. 2011;38(6):776–780. doi: 10.1053/j.seminoncol.2011.08.004. [DOI] [PubMed] [Google Scholar]
  • 25.Sayed D, Abdellatif M. MicroRNAs in development and disease. Physiol Rev. 2011;91(3):827–887. doi: 10.1152/physrev.00006.2010. [DOI] [PubMed] [Google Scholar]
  • 26.Harris KS, Zhang Z, McManus MT, Harfe BD, Sun X. Dicer function is essential for lung epithelium morphogenesis. Proc Natl Acad Sci U S A. 2006;103(7):2208–2213. doi: 10.1073/pnas.0510839103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Levänen B, Bhakta NR, Paredes PT, Barbeau R, Hiltbrunner S, Pollack JL, Sköld CM, Svartengren M, Grunewald J, Gabrielsson S, et al. Altered microRNA profiles in bronchoalveolar lavage fluid exosomes in asthmatic patients. J Allergy Clin Immunol. 2013;131(3):894–903. [DOI] [PMC free article] [PubMed]
  • 28.Greene CM, Gaughan KP. microRNAs in asthma: potential therapeutic targets. Curr Opin Pulm Med. 2013;19(1):66–72. doi: 10.1097/MCP.0b013e32835a5bc8. [DOI] [PubMed] [Google Scholar]
  • 29.Omran A, Elimam D, Yin F. MicroRNAs: new insights into chronic childhood diseases. Biomed Res Int. 2013;2013:291826. doi: 10.1155/2013/291826. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Molina-Pinelo S, Pastor MD, Suarez R, Romero-Romero B, González De la Peña M, Salinas A, García-Carbonero R, De Miguel MJ, Rodríguez-Panadero F, Carnero A, et al. MicroRNA clusters: dysregulation in lung adenocarcinoma and COPD. Eur Respir J. 2014;43(6):1740–9. [DOI] [PubMed]
  • 31.Pottelberge GR, Mestdagh P, Bracke KR, Thas O, Durme YM, Joos GF, Vandesompele J, Brusselle GG. MicroRNA expression in induced sputum of smokers and patients with chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2011;183(7):898–906. doi: 10.1164/rccm.201002-0304OC. [DOI] [PubMed] [Google Scholar]
  • 32.Pinkerton KE, Harbaugh M, Han MK, Jourdan Le Saux C, Van Winkle LS, Martin WJ, Kosgei RJ, Carter EJ, Sitkin N, Smiley-Jewell SM, et al. Women and lung disease. Sex differences and global health disparities. Am J Respir Crit Care Med. 2015;192(1):11–16. doi: 10.1164/rccm.201409-1740PP. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Townsend EA, Miller VM, Prakash YS. Sex differences and sex steroids in lung health and disease. Endocr Rev. 2012;33(1):1–47. doi: 10.1210/er.2010-0031. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Dai R, Ahmed SA. Sexual dimorphism of miRNA expression: a new perspective in understanding the sex bias of autoimmune diseases. Ther Clin Risk Manag. 2014;10:151–163. doi: 10.2147/TCRM.S33517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Mishra V, DiAngelo SL, Silveyra P. Sex-specific IL-6-associated signaling activation in ozone-induced lung inflammation. Biol Sex Differ. 2016;7:16. doi: 10.1186/s13293-016-0069-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Cabello N, Mishra V, Sinha U, DiAngelo SL, Chroneos ZC, Ekpa NA, Cooper TK, Caruso CR, Silveyra P. Sex differences in the expression of lung inflammatory mediators in response to ozone. Am J Physiol Lung Cell Mol Physiol. 2015; 10.1152/ajplung.00018.2015. [DOI] [PMC free article] [PubMed]
  • 37.Mikerov AN, Hu S, Durrani F, Gan X, Wang G, Umstead TM, Phelps DS, Floros J. Impact of sex and ozone exposure on the course of pneumonia in wild type and SP-A (−/−) mice. Microb Pathog. 2012;52(4):239–249. doi: 10.1016/j.micpath.2012.01.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Durrani F, Phelps DS, Weisz J, Silveyra P, Hu S, Mikerov AN, Floros J. Gonadal hormones and oxidative stress interaction differentially affects survival of male and female mice after lung Klebsiella Pneumoniae infection. Exp Lung Res. 2011;38(4):165–172. doi: 10.3109/01902148.2011.654045. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Wang Q, Wang Z, Chu L, Li X, Kan P, Xin X, Zhu Y, Yang P. The effects and molecular mechanisms of MiR-106a in multidrug resistance reversal in human glioma U87/DDP and U251/G cell lines. PLoS One. 2015;10(5):e0125473. doi: 10.1371/journal.pone.0125473. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Son DJ, Kumar S, Takabe W, Kim CW, Ni CW, Alberts-Grill N, Jang IH, Kim S, Kim W, Won Kang S, et al. The atypical mechanosensitive microRNA-712 derived from pre-ribosomal RNA induces endothelial inflammation and atherosclerosis. Nat Commun. 2013;4:3000. doi: 10.1038/ncomms4000. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Caligioni CS. Assessing reproductive status/stages in mice. Curr Protoc Neurosci. 2009;Appendix 4:Appendix 4I. doi: 10.1002/0471142301.nsa04is48. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Umstead TM, Phelps DS, Wang G, Floros J, Tarkington BK. In vitro exposure of proteins to ozone. Toxicol Mech Methods. 2002;12(1):1–16. doi: 10.1080/15376510209167932. [DOI] [PubMed] [Google Scholar]
  • 43.Hatch GE, Koren H, Aissa M. A method for comparison of animal and human alveolar dose and toxic effect of inhaled ozone. Health Phys. 1989;57(Suppl 1):37–40. doi: 10.1097/00004032-198907001-00004. [DOI] [PubMed] [Google Scholar]
  • 44.Hatch GE, Slade R, Harris LP, McDonnell WF, Devlin RB, Koren HS, Costa DL, McKee J. Ozone dose and effect in humans and rats. A comparison using oxygen-18 labeling and bronchoalveolar lavage. Am J Respir Crit Care Med. 1994;150(3):676–683. doi: 10.1164/ajrccm.150.3.8087337. [DOI] [PubMed] [Google Scholar]
  • 45.Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(−delta delta C(T)) method. Methods. 2001;25(4):402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
  • 46.Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B Methodol. 1995;57(1):289–300. [Google Scholar]
  • 47.Giefing-Kröll C, Berger P, Lepperdinger G, Grubeck-Loebenstein B. How sex and age affect immune responses, susceptibility to infections, and response to vaccination. Aging Cell. 2015;14(3):309–321. doi: 10.1111/acel.12326. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Klein SL, Flanagan KL. Sex differences in immune responses. Nat Rev Immunol. 2016;16(10):626–638. doi: 10.1038/nri.2016.90. [DOI] [PubMed] [Google Scholar]
  • 49.Silveyra P, Catalano P, Lux-Lantos V, Libertun C. Impact of proestrous milieu on expression of orexin receptors and prepro-orexin in rat hypothalamus and hypophysis: actions of Cetrorelix and Nembutal. Am J Physiol Endocrinol Metab. 2007;292(3):E820–E828. doi: 10.1152/ajpendo.00467.2006. [DOI] [PubMed] [Google Scholar]
  • 50.Hotti A, Järvinen K, Siivola P, Hölttä E. Caspases and mitochondria in c-Myc-induced apoptosis: identification of ATM as a new target of caspases. Oncogene. 2000;19(19):2354–2362. doi: 10.1038/sj.onc.1203567. [DOI] [PubMed] [Google Scholar]
  • 51.Chen Z, Zhang Y, Yang J, Jin M, Wang XW, Shen ZQ, Qiu Z, Zhao G, Wang J, Li JW. Estrogen promotes benzo[a]pyrene-induced lung carcinogenesis through oxidative stress damage and cytochrome c-mediated caspase-3 activation pathways in female mice. Cancer Lett. 2011;308(1):14–22. doi: 10.1016/j.canlet.2011.04.007. [DOI] [PubMed] [Google Scholar]
  • 52.Truong-Tran AQ, Grosser D, Ruffin RE, Murgia C, Zalewski PD. Apoptosis in the normal and inflamed airway epithelium: role of zinc in epithelial protection and procaspase-3 regulation. Biochem Pharmacol. 2003;66(8):1459–1468. doi: 10.1016/S0006-2952(03)00498-2. [DOI] [PubMed] [Google Scholar]
  • 53.Banerjee J, Khanna S, Bhattacharya A. MicroRNA regulation of oxidative stress. Oxidative Med Cell Longev. 2017;2017:2872156. doi: 10.1155/2017/2872156. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Massaro D, Clerch LB, Massaro GD. Estrogen receptor-alpha regulates pulmonary alveolar loss and regeneration in female mice: morphometric and gene expression studies. Am J Physiol Lung Cell Mol Physiol. 2007;293(1):L222–L228. doi: 10.1152/ajplung.00384.2006. [DOI] [PubMed] [Google Scholar]
  • 55.Gilliver SC. Sex steroids as inflammatory regulators. J Steroid Biochem Mol Biol. 2010;120(2-3):105–115. doi: 10.1016/j.jsbmb.2009.12.015. [DOI] [PubMed] [Google Scholar]
  • 56.Tam A, Morrish D, Wadsworth S, Dorscheid D, Man SF, Sin DD. The role of female hormones on lung function in chronic lung diseases. BMC Womens Health. 2011;11:24. doi: 10.1186/1472-6874-11-24. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Card JW, Zeldin DC. Hormonal influences on lung function and response to environmental agents: lessons from animal models of respiratory disease. Proc Am Thorac Soc. 2009;6(7):588–595. doi: 10.1513/pats.200904-020RM. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hanley SP. Asthma variation with menstruation. Br J Dis Chest. 1981;75(3):306–308. doi: 10.1016/0007-0971(81)90010-3. [DOI] [PubMed] [Google Scholar]
  • 59.Pauli BD, Reid RL, Munt PW, Wigle RD, Forkert L. Influence of the menstrual cycle on airway function in asthmatic and normal subjects. Am Rev Respir Dis. 1989;140(2):358–362. doi: 10.1164/ajrccm/140.2.358. [DOI] [PubMed] [Google Scholar]
  • 60.Klinge CM. Estrogen regulation of microRNA expression. Curr Genomics. 2009;10(3):169–183. doi: 10.2174/138920209788185289. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Druz A, Chu C, Majors B, Santuary R, Betenbaugh M, Shiloach J. A novel microRNA mmu-miR-466h affects apoptosis regulation in mammalian cells. Biotechnol Bioeng. 2011;108(7):1651–1661. doi: 10.1002/bit.23092. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Okoye IS, Coomes SM, Pelly VS, Czieso S, Papayannopoulos V, Tolmachova T, Seabra MC, Wilson MS. MicroRNA-containing T-regulatory-cell-derived exosomes suppress pathogenic T helper 1 cells. Immunity. 2014;41(1):89–103. doi: 10.1016/j.immuni.2014.05.019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Seashols-Williams SJ, Budd W, Clark GC, Wu Q, Daniel R, Dragoescu E, Zehner ZE. miR-9 acts as an oncomiR in prostate cancer through multiple pathways that drive tumour progression and metastasis. PLoS One. 2016;11(7):e0159601. doi: 10.1371/journal.pone.0159601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Lin L, Lin H, Wang L, Wang B, Hao X, Shi Y. miR-130a regulates macrophage polarization and is associated with non-small cell lung cancer. Oncol Rep. 2015;34(6):3088–3096. doi: 10.3892/or.2015.4301. [DOI] [PubMed] [Google Scholar]
  • 65.Yoshimura A, Naka T, Kubo M. SOCS proteins, cytokine signalling and immune regulation. Nat Rev Immunol. 2007;7(6):454–465. doi: 10.1038/nri2093. [DOI] [PubMed] [Google Scholar]
  • 66.Sharma A, Kumar M, Aich J, Hariharan M, Brahmachari SK, Agrawal A, Ghosh B. Posttranscriptional regulation of interleukin-10 expression by hsa-miR-106a. Proc Natl Acad Sci U S A. 2009;106(14):5761–5766. doi: 10.1073/pnas.0808743106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Sharma A, Kumar M, Ahmad T, Mabalirajan U, Aich J, Agrawal A, Ghosh B. Antagonism of mmu-mir-106a attenuates asthma features in allergic murine model. J Appl Physiol (1985) 2012;113(3):459–464. doi: 10.1152/japplphysiol.00001.2012. [DOI] [PubMed] [Google Scholar]
  • 68.Sonkoly E, Pivarcsi A. MicroRNAs in inflammation and response to injuries induced by environmental pollution. Mutat Res. 2011;717(1-2):46–53. doi: 10.1016/j.mrfmmm.2011.02.002. [DOI] [PubMed] [Google Scholar]
  • 69.Nana-Sinkam SP, Croce CM. Clinical applications for microRNAs in cancer. Clin Pharmacol Ther. 2013;93(1):98–104. doi: 10.1038/clpt.2012.192. [DOI] [PubMed] [Google Scholar]
  • 70.Inamura K, Ishikawa Y. MicroRNA in lung cancer: novel biomarkers and potential tools for treatment. Ochiya T, Takahashi R, eds. J Clin Med. 2016;5(3):36. [DOI] [PMC free article] [PubMed]
  • 71.Garofalo M, Di Leva G, Romano G, Nuovo G, Suh SS, Ngankeu A, Taccioli C, Pichiorri F, Alder H, Secchiero P, et al. miR-221&222 regulate TRAIL resistance and enhance tumorigenicity through PTEN and TIMP3 downregulation. Cancer Cell. 2009;16(6):498–509. doi: 10.1016/j.ccr.2009.10.014. [DOI] [PMC free article] [PubMed] [Google Scholar] [Retracted]
  • 72.Cochrane DR, Cittelly DM, Howe EN, Spoelstra NS, McKinsey EL, LaPara K, Elias A, Yee D, Richer JK. MicroRNAs link estrogen receptor alpha status and Dicer levels in breast cancer. Horm Cancer. 2010;1(6):306–319. doi: 10.1007/s12672-010-0043-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Perry MM, Baker JE, Gibeon DS, Adcock IM, Chung KF. Airway smooth muscle hyperproliferation is regulated by microRNA-221 in severe asthma. Am J Respir Cell Mol Biol. 2014;50(1):7–17. doi: 10.1165/rcmb.2013-0067OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 74.Chen M, Huang L, Zhang W, Shi J, Lin X, Lv Z, Liang R, Jiang S. MiR-23b controls TGF-β1 induced airway smooth muscle cell proliferation via TGFβR2/p-Smad3 signals. Mol Immunol. 2016;70:84–93. doi: 10.1016/j.molimm.2015.12.012. [DOI] [PubMed] [Google Scholar]
  • 75.Farha S, Asosingh K, Laskowski D, Hammel J, Dweik RA, Wiedemann HP, Erzurum SC. Effects of the menstrual cycle on lung function variables in women with asthma. Am J Respir Crit Care Med. 2009;180(4):304–310. doi: 10.1164/rccm.200904-0497OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Tan KS, McFarlane LC, Lipworth BJ. Loss of normal cyclical beta 2 adrenoceptor regulation and increased premenstrual responsiveness to adenosine monophosphate in stable female asthmatic patients. Thorax. 1997;52(7):608–611. doi: 10.1136/thx.52.7.608. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Wheeldon NM, Newnham DM, Coutie WJ, Peters JA, McDevitt DG, Lipworth BJ. Influence of sex-steroid hormones on the regulation of lymphocyte beta 2-adrenoceptors during the menstrual cycle. Br J Clin Pharmacol. 1994;37(6):583–588. doi: 10.1111/j.1365-2125.1994.tb04308.x. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Additional file 1: (320.1KB, pdf)

Figure S1. Sex differences in inflammatory miRNA expression. A. Cluster analysis of 84 inflammatory miRNAs in lung extracts from male and female mice. B. Individual expression of miRNAs differentially expressed in lung tissue from males vs. females. M, males (n = 6); F females (n = 23). FA_M males exposed to filtered air, FA_D1 females exposed to filtered air in diestrus 1, FA_D2 females exposed to filtered air in diestrus 2, FA_P females exposed to filtered air in proestrus, FA_E females exposed to filtered air in estrus. (PDF 320 kb)

Additional file 2: (23.8KB, docx)

Table S1. Target genes and associated pathways for differentially expressed miRNAs in lung tissue of unexposed male and female mice. (DOCX 23 kb)

Additional file 3: (374.9KB, pdf)

Figure S2. Sex differences in networks affected by differentially expressed miRNAs. Diagram of biological networks affected by differentially expressed miRNAs in the lungs of male and female animals exposed to FA (A) of O3 (B). Both diagrams show reported direct (solid lines) and indirect (dashed lines) interactions. Molecules that are downregulated or upregulated are represented as a node in green or red, respectively. Network analysis was performed with Ingenuity Pathway Analysis. (PDF 374 kb)

Data Availability Statement

The datasets generated and analyzed during the current study are available in the Silveyra lab repository, available at http://psilveyra.github.io/silveyralab/. Datasets and analyzed data have also been submitted to Gene Expression Omnibus under number GSE111667, available at https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE111667.


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