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Chandrasekara CMN, Gemikonakli G, Mach J, Sang R, Anwer AG, Agha A, Goldys EM, Hilmer SN, Campbell JM. Ageing and Polypharmacy in Mesenchymal Stromal Cells: Metabolic Impact Assessed by Hyperspectral Imaging of Autofluorescence. Int J Mol Sci 2024; 25:5830. [PMID: 38892017 PMCID: PMC11171960 DOI: 10.3390/ijms25115830] [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: 04/22/2024] [Revised: 05/20/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
The impact of age on mesenchymal stromal cell (MSC) characteristics has been well researched. However, increased age is concomitant with increased prevalence of polypharmacy. This adjustable factor may have further implications for the functionality of MSCs and the effectiveness of autologous MSC procedures. We applied hyperspectral microscopy of cell autofluorescence-a non-invasive imaging technique used to characterise cytometabolic heterogeneity-to identify changes in the autofluorescence signals of MSCs from (1) young mice, (2) old mice, (3) young mice randomised to receive polypharmacy (9-10 weeks of oral therapeutic doses of simvastatin, metoprolol, oxycodone, oxybutynin and citalopram), and (4) old mice randomised to receive polypharmacy. Principal Component Analysis and Logistic Regression Analysis were used to assess alterations in spectral and associated metabolic characteristics. Modelling demonstrated that cells from young mice receiving polypharmacy had less NAD(P)H and increased porphyrin relative to cells from old control mice, allowing for effective separation of the two groups (AUC of ROC curve > 0.94). Similarly, cells from old polypharmacy mice were accurately separated from those from young controls due to lower levels of NAD(P)H (p < 0.001) and higher porphyrin (p < 0.001), allowing for an extremely accurate logistic regression (AUC of ROC curve = 0.99). This polypharmacy regimen may have a more profound impact on MSCs than ageing, and can simultaneously reduce optical redox ratio (ORR) and increase porphyrin levels. This has implications for the use of autologous MSCs for older patients with chronic disease.
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Affiliation(s)
- Chandrasekara M. N. Chandrasekara
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia; (C.M.N.C.); (R.S.); (A.G.A.); (A.A.); (E.M.G.)
| | - Gizem Gemikonakli
- Laboratory of Ageing and Pharmacology, Kolling Institute, Northern Sydney Local Health District and Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia; (G.G.); (J.M.); (S.N.H.)
| | - John Mach
- Laboratory of Ageing and Pharmacology, Kolling Institute, Northern Sydney Local Health District and Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia; (G.G.); (J.M.); (S.N.H.)
| | - Rui Sang
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia; (C.M.N.C.); (R.S.); (A.G.A.); (A.A.); (E.M.G.)
| | - Ayad G. Anwer
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia; (C.M.N.C.); (R.S.); (A.G.A.); (A.A.); (E.M.G.)
| | - Adnan Agha
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia; (C.M.N.C.); (R.S.); (A.G.A.); (A.A.); (E.M.G.)
| | - Ewa M. Goldys
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia; (C.M.N.C.); (R.S.); (A.G.A.); (A.A.); (E.M.G.)
| | - Sarah N. Hilmer
- Laboratory of Ageing and Pharmacology, Kolling Institute, Northern Sydney Local Health District and Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW 2050, Australia; (G.G.); (J.M.); (S.N.H.)
| | - Jared M. Campbell
- Graduate School of Biomedical Engineering, Faculty of Engineering, University of New South Wales, Sydney, NSW 2052, Australia; (C.M.N.C.); (R.S.); (A.G.A.); (A.A.); (E.M.G.)
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Campbell JM, Walters SN, Habibalahi A, Mahbub SB, Anwer AG, Handley S, Grey ST, Goldys EM. Pancreatic Islet Viability Assessment Using Hyperspectral Imaging of Autofluorescence. Cells 2023; 12:2302. [PMID: 37759524 PMCID: PMC10527874 DOI: 10.3390/cells12182302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/08/2023] [Accepted: 09/14/2023] [Indexed: 09/29/2023] Open
Abstract
Islets prepared for transplantation into type 1 diabetes patients are exposed to compromising intrinsic and extrinsic factors that contribute to early graft failure, necessitating repeated islet infusions for clinical insulin independence. A lack of reliable pre-transplant measures to determine islet viability severely limits the success of islet transplantation and will limit future beta cell replacement strategies. We applied hyperspectral fluorescent microscopy to determine whether we could non-invasively detect islet damage induced by oxidative stress, hypoxia, cytokine injury, and warm ischaemia, and so predict transplant outcomes in a mouse model. In assessing islet spectral signals for NAD(P)H, flavins, collagen-I, and cytochrome-C in intact islets, we distinguished islets compromised by oxidative stress (ROS) (AUC = 1.00), hypoxia (AUC = 0.69), cytokine exposure (AUC = 0.94), and warm ischaemia (AUC = 0.94) compared to islets harvested from pristine anaesthetised heart-beating mouse donors. Significantly, with unsupervised assessment we defined an autofluorescent score for ischaemic islets that accurately predicted the restoration of glucose control in diabetic recipients following transplantation. Similar results were obtained for islet single cell suspensions, suggesting translational utility in the context of emerging beta cell replacement strategies. These data show that the pre-transplant hyperspectral imaging of islet autofluorescence has promise for predicting islet viability and transplant success.
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Affiliation(s)
- Jared M. Campbell
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2033, Australia; (A.H.); (S.B.M.); (A.G.A.); (S.H.); (E.M.G.)
| | - Stacey N. Walters
- Garvan Institute of Medical Research, Faculty of Medicine, St Vincent’s Clinical School, University of New South Wales, Sydney, NSW 2052, Australia; (S.N.W.); (S.T.G.)
| | - Abbas Habibalahi
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2033, Australia; (A.H.); (S.B.M.); (A.G.A.); (S.H.); (E.M.G.)
| | - Saabah B. Mahbub
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2033, Australia; (A.H.); (S.B.M.); (A.G.A.); (S.H.); (E.M.G.)
| | - Ayad G. Anwer
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2033, Australia; (A.H.); (S.B.M.); (A.G.A.); (S.H.); (E.M.G.)
| | - Shannon Handley
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2033, Australia; (A.H.); (S.B.M.); (A.G.A.); (S.H.); (E.M.G.)
| | - Shane T. Grey
- Garvan Institute of Medical Research, Faculty of Medicine, St Vincent’s Clinical School, University of New South Wales, Sydney, NSW 2052, Australia; (S.N.W.); (S.T.G.)
| | - Ewa M. Goldys
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Graduate School of Biomedical Engineering, University of New South Wales, Sydney, NSW 2033, Australia; (A.H.); (S.B.M.); (A.G.A.); (S.H.); (E.M.G.)
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Ramser A, Hawken R, Greene E, Okimoto R, Flack B, Christopher CJ, Campagna SR, Dridi S. Bone Metabolite Profile Differs between Normal and Femur Head Necrosis (FHN/BCO)-Affected Broilers: Implications for Dysregulated Metabolic Cascades in FHN Pathophysiology. Metabolites 2023; 13:metabo13050662. [PMID: 37233703 DOI: 10.3390/metabo13050662] [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: 04/11/2023] [Revised: 04/28/2023] [Accepted: 04/30/2023] [Indexed: 05/27/2023] Open
Abstract
Femur head necrosis (FHN), also known as bacterial chondronecrosis with osteomyelitis (BCO), has remained an animal welfare and production concern for modern broilers regardless of efforts to select against it in primary breeder flocks. Characterized by the bacterial infection of weak bone, FHN has been found in birds without clinical lameness and remains only detectable via necropsy. This presents an opportunity to utilize untargeted metabolomics to elucidate potential non-invasive biomarkers and key causative pathways involved in FHN pathology. The current study used ultra-performance liquid chromatography coupled with high-resolution mass spectrometry (UPLC-HRMS) and identified a total of 152 metabolites. Mean intensity differences at p < 0.05 were found in 44 metabolites, with 3 significantly down-regulated and 41 up-regulated in FHN-affected bone. Multivariate analysis and a partial least squares discriminant analysis (PLS-DA) scores plot showed the distinct clustering of metabolite profiles from FHN-affected vs. normal bone. Biologically related molecular networks were predicted using an ingenuity pathway analysis (IPA) knowledge base. Using a fold-change cut off of -1.5 and 1.5, top canonical pathways, networks, diseases, molecular functions, and upstream regulators were generated using the 44 differentially abundant metabolites. The results showed the metabolites NAD+, NADP+, and NADH to be downregulated, while 5-Aminoimidazole-4-carboxamide ribonucleotide (AICAR) and histamine were significantly increased in FHN. Ascorbate recycling and purine nucleotides degradation were the top canonical pathways, indicating the potential dysregulation of redox homeostasis and osteogenesis. Lipid metabolism and cellular growth and proliferation were some of the top molecular functions predicted based on the metabolite profile in FHN-affected bone. Network analysis showed significant overlap across metabolites and predicted upstream and downstream complexes, including AMP-activated protein kinase (AMPK), insulin, collagen type IV, mitochondrial complex, c-Jun N-terminal kinase (Jnk), extracellular signal-regulated kinase (ERK), and 3β-hydroxysteroid dehydrogenase (3β HSD). The qPCR analysis of relevant factors showed a significant decrease in AMPKα2 mRNA expression in FHN-affected bone, supporting the predicted downregulation found in the IPA network analysis. Taken as a whole, these results demonstrate a shift in energy production, bone homeostasis, and bone cell differentiation that is distinct in FHN-affected bone, with implications for how metabolites drive the pathology of FHN.
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Affiliation(s)
- Alison Ramser
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA
| | | | - Elizabeth Greene
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA
| | - Ron Okimoto
- Cobb-Vantress, Siloam Springs, AR 72761, USA
| | | | | | - Shawn R Campagna
- Department of Chemistry, University of Tennessee, Knoxville, TN 37996, USA
- Biological and Small Molecule Mass Spectrometry Core, University of Tennessee at Knoxville, Knoxville, TN 37996, USA
| | - Sami Dridi
- Center of Excellence for Poultry Science, University of Arkansas, Fayetteville, AR 72701, USA
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Campbell JM, Mahbub SB, Habibalahi A, Agha A, Handley S, Anwer AG, Goldys EM. Clinical applications of non-invasive multi and hyperspectral imaging of cell and tissue autofluorescence beyond oncology. JOURNAL OF BIOPHOTONICS 2023; 16:e202200264. [PMID: 36602432 DOI: 10.1002/jbio.202200264] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Revised: 12/20/2022] [Accepted: 12/24/2022] [Indexed: 06/17/2023]
Abstract
Hyperspectral and multispectral imaging of cell and tissue autofluorescence employs fluorescence imaging, without exogenous fluorophores, across multiple excitation/emission combinations (spectral channels). This produces an image stack where each pixel (matched by location) contains unique information about the sample's spectral properties. Analysis of this data enables access to a rich, molecularly specific data set from a broad range of cell-native fluorophores (autofluorophores) directly reflective of biochemical status, without use of fixation or stains. This non-invasive, non-destructive technology has great potential to spare the collection of biopsies from sensitive regions. As both staining and biopsy may be impossible, or undesirable, depending on the context, this technology great diagnostic potential for clinical decision making. The main research focus has been on the identification of neoplastic tissues. However, advances have been made in diverse applications-including ophthalmology, cardiovascular health, neurology, infection, assisted reproduction technology and organ transplantation.
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Affiliation(s)
- Jared M Campbell
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Saabah B Mahbub
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Abbas Habibalahi
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Adnan Agha
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Shannon Handley
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ayad G Anwer
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
| | - Ewa M Goldys
- Graduate School of Biomedical Engineering, University of New South Wales, Sydney, New South Wales, Australia
- Australian Research Council Centre of Excellence for Nanoscale BioPhotonics, Sydney, Australia
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Cheng M, Yuan W, Moshaverinia A, Yu B. Rejuvenation of Mesenchymal Stem Cells to Ameliorate Skeletal Aging. Cells 2023; 12:998. [PMID: 37048071 PMCID: PMC10093211 DOI: 10.3390/cells12070998] [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: 02/15/2023] [Revised: 03/14/2023] [Accepted: 03/16/2023] [Indexed: 04/14/2023] Open
Abstract
Advanced age is a shared risk factor for many chronic and debilitating skeletal diseases including osteoporosis and periodontitis. Mesenchymal stem cells develop various aging phenotypes including the onset of senescence, intrinsic loss of regenerative potential and exacerbation of inflammatory microenvironment via secretory factors. This review elaborates on the emerging concepts on the molecular and epigenetic mechanisms of MSC senescence, such as the accumulation of oxidative stress, DNA damage and mitochondrial dysfunction. Senescent MSCs aggravate local inflammation, disrupt bone remodeling and bone-fat balance, thereby contributing to the progression of age-related bone diseases. Various rejuvenation strategies to target senescent MSCs could present a promising paradigm to restore skeletal aging.
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Affiliation(s)
- Mingjia Cheng
- Section of Restorative Dentistry, School of Dentistry, University of California, Los Angeles, CA 90095, USA
| | - Weihao Yuan
- Section of Restorative Dentistry, School of Dentistry, University of California, Los Angeles, CA 90095, USA
| | - Alireza Moshaverinia
- Section of Advanced Prosthodontics, School of Dentistry, University of California, Los Angeles, CA 90095, USA
| | - Bo Yu
- Section of Restorative Dentistry, School of Dentistry, University of California, Los Angeles, CA 90095, USA
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Use of Brain-Derived Stem/Progenitor Cells and Derived Extracellular Vesicles to Repair Damaged Neural Tissues: Lessons Learned from Connective Tissue Repair Regarding Variables Limiting Progress and Approaches to Overcome Limitations. Int J Mol Sci 2023; 24:ijms24043370. [PMID: 36834779 PMCID: PMC9958575 DOI: 10.3390/ijms24043370] [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: 12/28/2022] [Revised: 01/27/2023] [Accepted: 02/06/2023] [Indexed: 02/11/2023] Open
Abstract
Pluripotent neural stem or progenitor cells (NSC/NPC) have been reported in the brains of adult preclinical models for decades, as have mesenchymal stem/stromal cells (MSC) been reported in a variety of tissues from adults. Based on their in vitro capabilities, these cell types have been used extensively in attempts to repair/regenerate brain and connective tissues, respectively. In addition, MSC have also been used in attempts to repair compromised brain centres. However, success in treating chronic neural degenerative conditions such as Alzheimer's disease, Parkinson's disease, and others with NSC/NPC has been limited, as have the use of MSC in the treatment of chronic osteoarthritis, a condition affecting millions of individuals. However, connective tissues are likely less complex than neural tissues regarding cell organization and regulatory integration, but some insights have been gleaned from the studies regarding connective tissue healing with MSC that may inform studies attempting to initiate repair and regeneration of neural tissues compromised acutely or chronically by trauma or disease. This review will discuss the similarities and differences in the applications of NSC/NPC and MSC, where some lessons have been learned, and potential approaches that could be used going forward to enhance progress in the application of cellular therapy to facilitate repair and regeneration of complex structures in the brain. In particular, variables that may need to be controlled to enhance success are discussed, as are different approaches such as the use of extracellular vesicles from stem/progenitor cells that could be used to stimulate endogenous cells to repair the tissues rather than consider cell replacement as the primary option. Caveats to all these efforts relate to whether cellular repair initiatives will have long-term success if the initiators for neural diseases are not controlled, and whether such cellular initiatives will have long-term success in a subset of patients if the neural diseases are heterogeneous and have multiple etiologies.
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Pterygium and Ocular Surface Squamous Neoplasia: Optical Biopsy Using a Novel Autofluorescence Multispectral Imaging Technique. Cancers (Basel) 2022; 14:cancers14061591. [PMID: 35326744 PMCID: PMC8946656 DOI: 10.3390/cancers14061591] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 03/07/2022] [Accepted: 03/11/2022] [Indexed: 02/04/2023] Open
Abstract
In this study, differentiation of pterygium vs. ocular surface squamous neoplasia based on multispectral autofluorescence imaging technique was investigated. Fifty (N = 50) patients with histopathological diagnosis of pterygium (PTG) and/or ocular surface squamous neoplasia (OSSN) were recruited. Fixed unstained biopsy specimens were imaged by multispectral microscopy. Tissue autofluorescence images were obtained with a custom-built fluorescent microscope with 59 spectral channels, each with specific excitation and emission wavelength ranges, suitable for the most abundant tissue fluorophores such as elastin, flavins, porphyrin, and lipofuscin. Images were analyzed using a new classification framework called fused-classification, designed to minimize interpatient variability, as an established support vector machine learning method. Normal, PTG, and OSSN regions were automatically detected and delineated, with accuracy evaluated against expert assessment by a specialist in OSSN pathology. Signals from spectral channels yielding signals from elastin, flavins, porphyrin, and lipofuscin were significantly different between regions classified as normal, PTG, and OSSN (p < 0.01). Differential diagnosis of PTG/OSSN and normal tissue had accuracy, sensitivity, and specificity of 88 ± 6%, 84 ± 10% and 91 ± 6%, respectively. Our automated diagnostic method generated maps of the reasonably well circumscribed normal/PTG and OSSN interface. PTG and OSSN margins identified by our automated analysis were in close agreement with the margins found in the H&E sections. Such a map can be rapidly generated on a real time basis and potentially used for intraoperative assessment.
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Campbell JM, Mahbub SB, Bertoldo MJ, Habibalahi A, Goss DM, Ledger WL, Gilchrist RB, Wu LE, Goldys EM. Multispectral autofluorescence characteristics of reproductive aging in old and young mouse oocytes. Biogerontology 2022; 23:237-249. [PMID: 35211812 PMCID: PMC9023381 DOI: 10.1007/s10522-022-09957-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Accepted: 02/14/2022] [Indexed: 12/16/2022]
Abstract
Increasing age has a major detrimental impact on female fertility, which, with an ageing population, has major sociological implications. This impact is primarily mediated through deteriorating quality of the oocyte. Deteriorating oocyte quality with biological age is the greatest rate-limiting factor to female fertility. Here we have used label-free, non-invasive multi-spectral imaging to identify unique autofluorescence profiles of oocytes from young and aged animals. Discriminant analysis demonstrated that young oocytes have a distinct autofluorescent profile which accurately distinguishes them from aged oocytes. We recently showed that treatment with the nicotinamide adenine dinucleotide (NAD+) precursor nicotinamide mononucleotide (NMN) restored oocyte quality and fertility in aged animals, and when our analysis was applied to oocytes from aged animals treated with NMN, 85% of these oocytes were classified as having the autofluorescent signature of young animals. Spectral unmixing using the Robust Dependent Component Analysis (RoDECA) algorithm demonstrated that NMN treatment altered the metabolic profile of oocytes, increasing free NAD(P)H, protein bound NAD(P)H, redox ratio and the ratio of bound to free NAD(P)H. The frequency of oocytes with simultaneously high NAD(P)H and flavin content was also significantly increased in mice treated with NMN. Young and Aged + NMN oocytes had a smoother spectral distribution, with the distribution of NAD(P)H in young oocytes specifically differing from that of aged oocytes. Identifying the multispectral profile of oocyte autofluorescence during aging could have utility as a non-invasive and sensitive measure of oocyte quality.
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Affiliation(s)
- Jared M Campbell
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia.
| | - Saabah B Mahbub
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
| | - Michael J Bertoldo
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - Abbas Habibalahi
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
| | - Dale M Goss
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - William L Ledger
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
| | - Robert B Gilchrist
- Discipline of Women's Health, School of Clinical Medicine, University of New South Wales Sydney, Sydney, Australia
| | - Lindsay E Wu
- School of Medical Sciences, University of New South Wales Sydney, Sydney, Australia
| | - Ewa M Goldys
- ARC Centre of Excellence Centre for Nanoscale Biophotonics, Graduate School of Biomedical Engineering, University of New South Wales Sydney, Kensington, Sydney, NSW, 2052, Australia
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Konkova M, Abramova M, Kalianov A, Ershova E, Dolgikh O, Umriukhin P, Izhevskaya V, Kutsev S, Veiko N, Kostyuk S. Mesenchymal Stem Cells Early Response to Low-Dose Ionizing Radiation. Front Cell Dev Biol 2021; 8:584497. [PMID: 33381502 PMCID: PMC7767887 DOI: 10.3389/fcell.2020.584497] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 11/13/2020] [Indexed: 12/13/2022] Open
Abstract
Introduction Mesenchymal stem cells (MSCs) are applied as the therapeutic agents, e.g., in the tumor radiation therapy. Purpose of the Study To evaluate the human adipose MSC early response to low-dose ionizing radiation (LDIR). Materials and Methods We investigated different LDIR (3, 10, and 50 cGy) effects on reactive oxygen species production, DNA oxidation (marker 8-oxodG), and DNA breaks (marker ɣ H2AX) in the two lines of human adipose MSC. Using reverse transcriptase-polymerase chain reaction, fluorescence-activated cell sorting, and fluorescence microscopy, we determined expression of genes involved in the oxidative stress development (NOX4), antioxidative response (NRF2), antiapoptotic and proapoptotic response (BCL2, BCL2A1, BCL2L1, BIRC2, BIRC3, and BAX1), in the development of the nuclear DNA damage response (DDR) (BRCA1, BRCA2, ATM, and P53). Cell cycle changes were investigated by genes transcription changes (CCND1, CDKN2A, and CDKN1A) and using proliferation markers KI-67 and proliferating cell nuclear antigen (PCNA). Results Fifteen to 120 min after exposure to LDIR in MSCs, transient oxidative stress and apoptosis of the most damaged cells against the background of the cell cycle arrest were induced. Simultaneously, DDR and an antiapoptotic response were found in other cells of the population. The 10-cGy dose causes the strongest and fastest DDR following cell nuclei DNA damage. The 3-cGy dose induces a less noticeable and prolonged response. The maximal low range dose, 50 cGy, causes a damaging effect on the MSCs. Conclusion Transient oxidative stress and the death of a small fraction of the damaged cells are essential components of the MSC population response to LDIR along with the development of DDR and antiapoptotic response. A scheme describing the early MSC response to LDIR is proposed.
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Affiliation(s)
- Marina Konkova
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia
| | - Margarita Abramova
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia
| | - Andrey Kalianov
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia
| | - Elizaveta Ershova
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia.,I.M. Sechenov First Moscow State Medical University, Department of Normal Physiology, Moscow, Russia
| | - Olga Dolgikh
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia
| | - Pavel Umriukhin
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia.,I.M. Sechenov First Moscow State Medical University, Department of Normal Physiology, Moscow, Russia.,P.K. Anokhin Institute of Normal Physiology, Moscow, Russia
| | - Vera Izhevskaya
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia
| | - Sergey Kutsev
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia
| | - Natalia Veiko
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia
| | - Svetlana Kostyuk
- Department of Molecular Biology, Research Centre for Medical Genetics, Moscow, Russia.,I.M. Sechenov First Moscow State Medical University, Department of Normal Physiology, Moscow, Russia
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