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Aravindraja C, Jeepipalli S, Duncan W, Vekariya KM, Bahadekar S, Chan EKL, Kesavalu L. Unique miRomics Expression Profiles in Tannerella forsythia-Infected Mandibles during Periodontitis Using Machine Learning. Int J Mol Sci 2023; 24:16393. [PMID: 38003583 PMCID: PMC10671577 DOI: 10.3390/ijms242216393] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Revised: 11/01/2023] [Accepted: 11/06/2023] [Indexed: 11/26/2023] Open
Abstract
T. forsythia is a subgingival periodontal bacterium constituting the subgingival pathogenic polymicrobial milieu during periodontitis (PD). miRNAs play a pivotal role in maintaining periodontal tissue homeostasis at the transcriptional, post-transcriptional, and epigenetic levels. The aim of this study was to characterize the global microRNAs (miRNA, miR) expression kinetics in 8- and 16-week-old T. forsythia-infected C57BL/6J mouse mandibles and to identify the miRNA bacterial biomarkers of disease process at specific time points. We examined the differential expression (DE) of miRNAs in mouse mandibles (n = 10) using high-throughput NanoString nCounter® miRNA expression panels, which provided significant advantages over specific candidate miRNA or pathway analyses. All the T. forsythia-infected mice at two specific time points showed bacterial colonization (100%) in the gingival surface, along with a significant increase in alveolar bone resorption (ABR) (p < 0.0001). We performed a NanoString analysis of specific miRNA signatures, miRNA target pathways, and gene network analysis. A total of 115 miRNAs were DE in the mandible tissue during 8 and 16 weeks The T. forsythia infection, compared with sham infection, and the majority (99) of DE miRNAs were downregulated. nCounter miRNA expression kinetics identified 67 downregulated miRNAs (e.g., miR-375, miR-200c, miR-200b, miR-34b-5p, miR-141) during an 8-week infection, whereas 16 upregulated miRNAs (e.g., miR-1902, miR-let-7c, miR-146a) and 32 downregulated miRNAs (e.g., miR-2135, miR-720, miR-376c) were identified during a 16-week infection. Two miRNAs, miR-375 and miR-200c, were highly downregulated with >twofold change during an 8-week infection. Six miRNAs in the 8-week infection (miR-200b, miR-141, miR-205, miR-423-3p, miR-141-3p, miR-34a-5p) and two miRNAs in the 16-week infection (miR-27a-3p, miR-15a-5p) that were downregulated have also been reported in the gingival tissue and saliva of periodontitis patients. This preclinical in vivo study identified T. forsythia-specific miRNAs (miR-let-7c, miR-210, miR-146a, miR-423-5p, miR-24, miR-218, miR-26b, miR-23a-3p) and these miRs have also been reported in the gingival tissues and saliva of periodontitis patients. Further, several DE miRNAs that are significantly upregulated (e.g., miR-101b, miR-218, miR-127, miR-24) are also associated with many systemic diseases such as atherosclerosis, Alzheimer's disease, rheumatoid arthritis, osteoarthritis, diabetes, obesity, and several cancers. In addition to DE analysis, we utilized the XGBoost (eXtreme Gradient boost) and Random Forest machine learning (ML) algorithms to assess the impact that the number of miRNA copies has on predicting whether a mouse is infected. XGBoost found that miR-339-5p was most predictive for mice infection at 16 weeks. miR-592-5p was most predictive for mice infection at 8 weeks and also when the 8-week and 16-week results were grouped together. Random Forest predicted miR-592 as most predictive at 8 weeks as well as the combined 8-week and 16-week results, but miR-423-5p was most predictive at 16 weeks. In conclusion, the expression levels of miR-375 and miR-200c family differed significantly during disease process, and these miRNAs establishes a link between T. forsythia and development of periodontitis genesis, offering new insights regarding the pathobiology of this bacterium.
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Affiliation(s)
- Chairmandurai Aravindraja
- Department of Periodontology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA; (C.A.); (S.J.); (K.M.V.)
| | - Syam Jeepipalli
- Department of Periodontology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA; (C.A.); (S.J.); (K.M.V.)
| | - William Duncan
- Department of Community Dentistry, College of Dentistry, University of Florida, Gainesville, FL 32610, USA;
| | - Krishna Mukesh Vekariya
- Department of Periodontology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA; (C.A.); (S.J.); (K.M.V.)
| | - Sakshee Bahadekar
- Department of Computer and Information Science and Engineering, University of Florida, Gainesville, FL 32610, USA;
| | - Edward K. L. Chan
- Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA;
| | - Lakshmyya Kesavalu
- Department of Periodontology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA; (C.A.); (S.J.); (K.M.V.)
- Department of Oral Biology, College of Dentistry, University of Florida, Gainesville, FL 32610, USA;
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Santiago J, Silva JV, Santos MAS, Fardilha M. Age-Dependent Alterations in Semen Parameters and Human Sperm MicroRNA Profile. Biomedicines 2023; 11:2923. [PMID: 38001924 PMCID: PMC10669352 DOI: 10.3390/biomedicines11112923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Revised: 10/25/2023] [Accepted: 10/27/2023] [Indexed: 11/26/2023] Open
Abstract
The trend to delay parenthood is increasing, impacting fertility and reproductive outcomes. Advanced paternal age (APA), defined as men's age above 40 years at conception, has been linked with testicular impairment, abnormal semen parameters, and poor reproductive and birth outcomes. Recently, the significance of sperm microRNA for fertilization and embryonic development has emerged. This work aimed to investigate the effects of men's age on semen parameters and sperm microRNA profiles. The ejaculates of 333 Portuguese men were collected between 2018 and 2022, analyzed according to WHO guidelines, and a density gradient sperm selection was performed. For microRNA expression analysis, 16 normozoospermic human sperm samples were selected and divided into four age groups: ≤30, 31-35, 36-40, and >40 years. microRNA target genes were retrieved from the miRDB and TargetScan databases and Gene Ontology analysis was performed using the DAVID tool. No significant correlation was found between male age and conventional semen parameters, except for volume. Fifteen differentially expressed microRNAs (DEMs) between groups were identified. Enrichment analysis suggested the involvement of DEMs in the sperm of men with advanced age in critical biological processes like embryonic development, morphogenesis, and male gonad development. Targets of DEMs were involved in signaling pathways previously associated with the ageing process, including cellular senescence, autophagy, insulin, and mTOR pathways. These results suggest that although conventional semen parameters were not affected by men's age, alterations in microRNA regulation may occur and be responsible for poor fertility and reproductive outcomes associated with APA.
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Affiliation(s)
- Joana Santiago
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, 3810-193 Aveiro, Portugal; (J.V.S.); (M.A.S.S.)
| | - Joana V. Silva
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, 3810-193 Aveiro, Portugal; (J.V.S.); (M.A.S.S.)
| | - Manuel A. S. Santos
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, 3810-193 Aveiro, Portugal; (J.V.S.); (M.A.S.S.)
- Multidisciplinary Institute of Ageing, MIA-Portugal, University of Coimbra, 3000-370 Coimbra, Portugal
| | - Margarida Fardilha
- Department of Medical Sciences, Institute of Biomedicine (iBiMED), University of Aveiro, 3810-193 Aveiro, Portugal; (J.V.S.); (M.A.S.S.)
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Gao JR, Shi MM, Jiang H, Zhu XL, Wei LB, Qin XJ. MicroRNA-339-5p inhibits lipopolysaccharide-induced rat mesangial cells by regulating the Syk/Ras/c-Fos pathway. Naunyn Schmiedebergs Arch Pharmacol 2022; 395:1075-1085. [PMID: 35687145 DOI: 10.1007/s00210-022-02261-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 05/26/2022] [Indexed: 10/18/2022]
Abstract
Chronic glomerulonephritis (CGN) is a disease occurred in glomeruli. The mechanism of CGN is regarded to be involved in a range of inflammatory responses. MicroRNA-339-5p (miR-339-5p) has been reported to be involved in inflammatory responses in many diseases. However, the role of miR-339-5p in CGN remains unclear. The purpose of this study was to investigate the role of miR-339-5p in lipopolysaccharide (LPS)-induced nephritis injury in vitro. The real-time reverse transcriptase-polymerase chain reaction (RT-qPCR) and western blot (WB) were used to detect the expression of miR-339-5p and Syk/Ras/c-Fos pathway. Double luciferase was performed to identify targeted binding of miR-339-5p to Syk. Cell counting kit-8 (CCK-8) and flow cytometry were used to observe cell viability and cell cycle. Enzyme-linked immunosorbent assay (ELISA) was performed to measure the concentrations of inflammatory cytokines IL-1β, IL-10, IL-6, and TNF-α. Lipopolysaccharide (LPS) could increase HBZY-1 (rat mesangial cells) cell viability, decrease the G2 phase, and promote cell proliferation and accelerate inflammatory cytokine. However, overexpression of miR-339-5p could inhibit LPS-induced HBZY-1 cell viability, decrease the expression of Syk/Ras/c-Fos signaling pathway, downregulate the expression level of inflammatory cytokines, increase the G2 phase, and inhibit cell proliferation. miR-339-5p could inhibit the proliferation and inflammation of the rat mesangial cells through regulating Syk/Ras/c-Fos signaling pathway.
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Affiliation(s)
- Jia Rong Gao
- Department of Pharmacy, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, Anhui, China. .,Anhui Province Key Laboratory of Chinese Medicinal Formula, Hefei, 230012, Anhui, China.
| | - Miao Miao Shi
- College of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230011, Anhui, China
| | - Hui Jiang
- Experimental Center of Clinical Research, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, Anhui, China
| | - Xiao Li Zhu
- College of Pharmacy, Anhui University of Chinese Medicine, Hefei, 230011, Anhui, China
| | - Liang Bing Wei
- Department of Pharmacy, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, Anhui, China.,Anhui Province Key Laboratory of Chinese Medicinal Formula, Hefei, 230012, Anhui, China
| | - Xiu Juan Qin
- Department of Pharmacy, The First Affiliated Hospital of Anhui University of Chinese Medicine, Hefei, 230031, Anhui, China.,Anhui Province Key Laboratory of Chinese Medicinal Formula, Hefei, 230012, Anhui, China
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