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Buss LG, De Oliveira Pessoa D, Snider JM, Padi M, Martinez JA, Limesand KH. Metabolomics analysis of pathways underlying radiation-induced salivary gland dysfunction stages. PLoS One 2023; 18:e0294355. [PMID: 37983277 PMCID: PMC10659204 DOI: 10.1371/journal.pone.0294355] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 10/30/2023] [Indexed: 11/22/2023] Open
Abstract
Salivary gland hypofunction is an adverse side effect associated with radiotherapy for head and neck cancer patients. This study delineated metabolic changes at acute, intermediate, and chronic radiation damage response stages in mouse salivary glands following a single 5 Gy dose. Ultra-high performance liquid chromatography-mass spectrometry was performed on parotid salivary gland tissue collected at 3, 14, and 30 days following radiation (IR). Pathway enrichment analysis, network analysis based on metabolite structural similarity, and network analysis based on metabolite abundance correlations were used to incorporate both metabolite levels and structural annotation. The greatest number of enriched pathways are observed at 3 days and the lowest at 30 days following radiation. Amino acid metabolism pathways, glutathione metabolism, and central carbon metabolism in cancer are enriched at all radiation time points across different analytical methods. This study suggests that glutathione and central carbon metabolism in cancer may be important pathways in the unresolved effect of radiation treatment.
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Affiliation(s)
- Lauren G Buss
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, AZ, United States of America
| | - Diogo De Oliveira Pessoa
- Biostatistics and Bioinformatics Shared Resource, Arizona Cancer Center, University of Arizona, Tucson, AZ, United States of America
| | - Justin M Snider
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, AZ, United States of America
- University of Arizona Cancer Center, Tucson, AZ, United States of America
| | - Megha Padi
- Biostatistics and Bioinformatics Shared Resource, Arizona Cancer Center, University of Arizona, Tucson, AZ, United States of America
- University of Arizona Cancer Center, Tucson, AZ, United States of America
- Department of Molecular and Cellular Biology, University of Arizona, Tucson, AZ, United States of America
| | - Jessica A Martinez
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, AZ, United States of America
- University of Arizona Cancer Center, Tucson, AZ, United States of America
| | - Kirsten H Limesand
- School of Nutritional Sciences and Wellness, University of Arizona, Tucson, AZ, United States of America
- University of Arizona Cancer Center, Tucson, AZ, United States of America
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Zahra A, Dong Q, Hall M, Jeyaneethi J, Silva E, Karteris E, Sisu C. Identification of Potential Bisphenol A (BPA) Exposure Biomarkers in Ovarian Cancer. J Clin Med 2021; 10:jcm10091979. [PMID: 34062972 PMCID: PMC8125610 DOI: 10.3390/jcm10091979] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2021] [Revised: 04/16/2021] [Accepted: 04/24/2021] [Indexed: 02/07/2023] Open
Abstract
Endocrine-disrupting chemicals (EDCs) can exert multiple deleterious effects and have been implicated in carcinogenesis. The xenoestrogen Bisphenol A (BPA) that is found in various consumer products has been involved in the dysregulation of numerous signalling pathways. In this paper, we present the analysis of a set of 94 genes that have been shown to be dysregulated in presence of BPA in ovarian cancer cell lines since we hypothesised that these genes might be of biomarker potential. This study sought to identify biomarkers of disease and biomarkers of disease-associated exposure. In silico analyses took place using gene expression data extracted from The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) databases. Differential expression was further validated at protein level using immunohistochemistry on an ovarian cancer tissue microarray. We found that 14 out of 94 genes are solely dysregulated in the presence of BPA, while the remaining 80 genes are already dysregulated (p-value < 0.05) in their expression pattern as a consequence of the disease. We also found that seven genes have prognostic power for the overall survival in OC in relation to their expression levels. Out of these seven genes, Keratin 4 (KRT4) appears to be a biomarker of exposure-associated ovarian cancer, whereas Guanylate Binding Protein 5 (GBP5), long intergenic non-protein coding RNA 707 (LINC00707) and Solute Carrier Family 4 Member 11 (SLC4A11) are biomarkers of disease. BPA can exert a plethora of effects that can be tissue- or cancer-specific. Our in silico findings generate a hypothesis around biomarkers of disease and exposure that could potentially inform regulation and policy making.
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Affiliation(s)
- Aeman Zahra
- Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; (A.Z.); (Q.D.); (M.H.); (J.J.); (E.S.)
| | - Qiduo Dong
- Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; (A.Z.); (Q.D.); (M.H.); (J.J.); (E.S.)
| | - Marcia Hall
- Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; (A.Z.); (Q.D.); (M.H.); (J.J.); (E.S.)
- Mount Vernon Cancer Centre, Northwood HA6 2RN, UK
| | - Jeyarooban Jeyaneethi
- Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; (A.Z.); (Q.D.); (M.H.); (J.J.); (E.S.)
| | - Elisabete Silva
- Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; (A.Z.); (Q.D.); (M.H.); (J.J.); (E.S.)
| | - Emmanouil Karteris
- Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; (A.Z.); (Q.D.); (M.H.); (J.J.); (E.S.)
- Correspondence: (E.K.); (C.S.)
| | - Cristina Sisu
- Biosciences, College of Health, Medicine and Life Sciences, Brunel University London, Uxbridge UB8 3PH, UK; (A.Z.); (Q.D.); (M.H.); (J.J.); (E.S.)
- Correspondence: (E.K.); (C.S.)
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Aguiari P, Liu YY, Petrosyan A, Cheng SY, Brent GA, Perin L, Milanesi A. Persistent COUP-TFII expression underlies the myopathy and impaired muscle regeneration observed in resistance to thyroid hormone-alpha. Sci Rep 2021; 11:4601. [PMID: 33633251 PMCID: PMC7907286 DOI: 10.1038/s41598-021-84080-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2020] [Accepted: 02/09/2021] [Indexed: 12/01/2022] Open
Abstract
Thyroid hormone signaling plays an essential role in muscle development and function, in the maintenance of muscle mass, and in regeneration after injury, via activation of thyroid nuclear receptor alpha (THRA). A mouse model of resistance to thyroid hormone carrying a frame-shift mutation in the THRA gene (THRA-PV) is associated with accelerated skeletal muscle loss with aging and impaired regeneration after injury. The expression of nuclear orphan receptor chicken ovalbumin upstream promoter-factor II (COUP-TFII, or Nr2f2) persists during myogenic differentiation in THRA-PV myoblasts and skeletal muscle of aged THRA-PV mice and it is known to negatively regulate myogenesis. Here, we report that in murine myoblasts COUP-TFII interacts with THRA and modulates THRA binding to thyroid response elements (TREs). Silencing of COUP-TFII expression restores in vitro myogenic potential of THRA-PV myoblasts and shifts the mRNA expression profile closer to WT myoblasts. Moreover, COUP-TFII silencing reverses the transcriptomic profile of THRA-PV myoblasts and results in reactivation of pathways involved in muscle function and extracellular matrix remodeling/deposition. These findings indicate that the persistent COUP-TFII expression in THRA-PV mice is responsible for the abnormal muscle phenotype. In conclusion, COUP-TFII and THRA cooperate during post-natal myogenesis, and COUP-TFII is critical for the accelerated skeletal muscle loss with aging and impaired muscle regeneration after injury in THRA-PV mice.
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Affiliation(s)
- Paola Aguiari
- David Geffen School of Medicine at UCLA - VA Healthcare System, Los Angeles, CA, USA
| | - Yan-Yun Liu
- David Geffen School of Medicine at UCLA - VA Healthcare System, Los Angeles, CA, USA
| | - Astgik Petrosyan
- GOFARR Laboratory for Organ Regenerative Research and Cell Therapeutics in Urology, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | | | - Gregory A Brent
- David Geffen School of Medicine at UCLA - VA Healthcare System, Los Angeles, CA, USA
| | - Laura Perin
- GOFARR Laboratory for Organ Regenerative Research and Cell Therapeutics in Urology, Children's Hospital Los Angeles, Los Angeles, CA, USA
| | - Anna Milanesi
- David Geffen School of Medicine at UCLA - VA Healthcare System, Los Angeles, CA, USA.
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Distinct Genetic Signatures of Cortical and Subcortical Regions Associated with Human Memory. eNeuro 2019; 6:ENEURO.0283-19.2019. [PMID: 31818829 PMCID: PMC6917897 DOI: 10.1523/eneuro.0283-19.2019] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 11/12/2019] [Accepted: 11/19/2019] [Indexed: 11/21/2022] Open
Abstract
Despite the discovery of gene variants linked to memory performance, understanding the genetic basis of adult human memory remains a challenge. Here, we devised an unsupervised framework that relies on spatial correlations between human transcriptome data and functional neuroimaging maps to uncover the genetic signatures of memory in functionally-defined cortical and subcortical memory regions. Despite the discovery of gene variants linked to memory performance, understanding the genetic basis of adult human memory remains a challenge. Here, we devised an unsupervised framework that relies on spatial correlations between human transcriptome data and functional neuroimaging maps to uncover the genetic signatures of memory in functionally-defined cortical and subcortical memory regions. Results were validated with animal literature and showed that our framework is highly effective in identifying memory-related processes and genes compared to a control cognitive function. Genes preferentially expressed in cortical memory regions are linked to memory-related processes such as immune and epigenetic regulation. Genes expressed in subcortical memory regions are associated with neurogenesis and glial cell differentiation. Genes expressed in both cortical and subcortical memory areas are involved in the regulation of transcription, synaptic plasticity, and glutamate receptor signaling. Furthermore, distinct memory-associated genes such as PRKCD and CDK5 are linked to cortical and subcortical regions, respectively. Thus, cortical and subcortical memory regions exhibit distinct genetic signatures that potentially reflect functional differences in health and disease, and nominates gene candidates for future experimental investigations.
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G2/M checkpoint plays a vital role at the early stage of HCC by analysis of key pathways and genes. Oncotarget 2017; 8:76305-76317. [PMID: 29100313 PMCID: PMC5652707 DOI: 10.18632/oncotarget.19351] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2017] [Accepted: 06/29/2017] [Indexed: 01/14/2023] Open
Abstract
The present study was designed to explore the molecular mechanism at the early stage of hepatocarcinoma (HCC) and identify the candidate genes and pathways changed significantly. We downloaded the gene expression file dataset GSE6764 from GEO, adopted the Robust Multi-array Average (RMA) algorithm to preprocess the raw file. 797 differentially expressed genes (DEGs) were screened out based on the SAM method using R language. Ingenuity Pathway Analysis (IPA) was used to perform canonical pathway analysis in order to calculate the most significantly changed pathways and predict the upstream regulators. In order to confirm the results from the DEGs which based on the individual gene level, the gene set enrichment analysis (GSEA) was done from the gene set level and the leading edge analysis was performed to find out the most appeared genes in several gene sets. The PPI network was built using GeneMANIA and the key genes were calculated using cytoHubba plugin based on cytoscape 3.4.0. We found that the Cell Cycle: G2/M DNA damage checkpoint regulation is the top-ranked pathways at the early stage of HCC by IPA. The high expression of several genes including CCNB1, CDC25B, XPO1, GMPS, KPNA2 and MELK is correlated with high risk, poor prognosis and shorter overall survival time in HCC patients by use of Kaplan-Meier Survival analysis. Taken together, our study showed that the G2/M checkpoint plays a vital role at the early HCC and the genes participate in the process may serve as biomarkers for the diagnosis and prognosis.
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Liao M, Li B, Zhang S, Liu Q, Liao W, Xie W, Zhang Y. Relationship between LINC00341 expression and cancer prognosis. Oncotarget 2017; 8:15283-15293. [PMID: 28146429 PMCID: PMC5362486 DOI: 10.18632/oncotarget.14843] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2016] [Accepted: 01/17/2017] [Indexed: 12/13/2022] Open
Abstract
LINC00341 is a novel long intergenic non-protein coding RNA with unknown functions. In our report, we investigated LINC00341 expression and its prognostic value in cancer patients. DNA over-methylation triggered low expression of LINC00341 and that was associated with poor prognosis in cancers. A meta-analysis further confirmed that high expression of LINC00341 was associated with a better prognosis in cancer patients. Both gene set enrichment analysis and meta-analysis showed that LINC00341 inhibited cancer metastasis. Finally, a large-scale multicentre analysis supported a prognostic value of LINC00341 in cancers.
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Affiliation(s)
- Meijian Liao
- School of Life Sciences, Tsinghua University, Beijing 100084, P.R. China
- Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China
| | - Bing Li
- School of Life Sciences, Tsinghua University, Beijing 100084, P.R. China
- Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China
| | - Shikuan Zhang
- Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China
| | - Qing Liu
- School of Life Sciences, Tsinghua University, Beijing 100084, P.R. China
- Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China
| | - Weijie Liao
- School of Life Sciences, Tsinghua University, Beijing 100084, P.R. China
- Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China
| | - Weidong Xie
- Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China
- Open FIESTA Center, Tsinghua University, Shenzhen 518055, P.R. China
| | - Yaou Zhang
- Key Lab in Healthy Science and Technology, Division of Life Science, Graduate School at Shenzhen, Tsinghua University, Shenzhen 518055, P.R. China
- Open FIESTA Center, Tsinghua University, Shenzhen 518055, P.R. China
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