Vesicular Galectin-3 levels decrease with donor age and contribute to the reduced osteo-inductive potential of human plasma derived extracellular vesicles

Weilner, Sylvia; Keider, Verena; Winter, Melanie; Harreither, Eva; Salzer, Benjamin; Weiß, Florian; Schraml, Elisabeth; Messner, Paul; Pietschmann, Péter; Hildner, Florian; Gabriel, Christian; Redl, Heinz; Grillari‐Voglauer, Regina; Grillari, Johannes

doi:10.18632/aging.100865

Cited by 78 publications

(75 citation statements)

References 55 publications

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“…For instance, miR-214, which controls endothelial cell function and angiogenesis, plays a dominant role in vesicle-mediated signaling between endothelial cells (Van Balkom et al, 2013); indeed, endothelial cell derived vesicles stimulated migration and angiogenesis in recipient cells, preventing senescence, whereas vesicles from miR-214-depleted endothelial cells failed to stimulate this process. According to a recent study (Weilner et al, 2016), EVs isolated from young donors enhance osteoblastogenesis in vitro compared with those from elderly subjects; in particular, reduced galectin-3 levels in the latter vesicles correlated with an altered osteoinduction potential.…”

Section: Perspective Contribution Of Circulating Mir-extracellularmentioning

confidence: 99%

Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging

Olivieri

Capri²,

Bonafè³

et al. 2017

Mechanisms of Ageing and Development

101

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Human aging is a lifelong process characterized by a continuous trade-off between pro-and anti-inflammatory responses, where the best-adapted and/or remodeled genetic/epigenetic profile may develop a longevity phenotype. Centenarians and their offspring represent such a phenotype and their comparison to patients with age-related diseases (ARDs) is expected to maximize the chance to unravel the genetic makeup that better associates with healthy aging trajectories. Seemingly, such comparison is expected to allow the discovery of new biomarkers of longevity together with risk factor for the most common ARDs. MicroRNAs (miRNAs) and their shuttles (extracellular vesicles in particular) are currently conceived as those endowed with the strongest ability to provide information about the trajectories of healthy and unhealthy aging. We review the available data on miRNAs in aging and underpin the evidence suggesting that circulating miRNAs (and cognate shuttles), especially those involved in the regulation of inflammation (inflamma-miRs) may constitute biomarkers capable of reliably depicting healthy and unhealthy aging trajectories.

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Section: Perspective Contribution Of Circulating Mir-extracellularmentioning

confidence: 99%

Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging

Olivieri

Capri²,

Bonafè³

et al. 2017

Mechanisms of Ageing and Development

101

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“…Наши ис-следования показывают, что стареющие эндотелиальные клетки секретируют повышенное количество миРНК-31 внутри внеклеточных везикул, которые захватываются мезенхимальными стволовыми клетками и, в свою оче-редь, подавляют остеогенную дифференцировку [9]. Се-креция промотора остеогенеза Galectin-3 снижена в вези-кулах стареющих эндотелиальных клеток, что согласует-ся с данными, описанными выше [8].…”

Section: № 1/2016 остеопороз и остеопатии тезисы докладовunclassified

“…We demonstrate that senescent endothelial cells secrete elevated levels of miR-31 within extracellular vesicles which are taken up by mesenchymal stem cells where they inhibits osteogenic differentiation [9]. In synergy with this, the secretion of osteogenic promoting Galectin-3 is diminished in senescent endothelial cell vesicles [8].…”

Section: от репликативного старения к диагностике возраст-ассоциироваmentioning

confidence: 99%

“…МиРНК могут использоваться как ранние биомаркеры различных заболеваний, так как они стабильны и устой-чивы при задержках обработки материала [7,8]. МиРНК присутствуют в сыворотке/плазме, внутри экзосом и/или связаны с белками семейства Argonaut.…”

Section: литература № 1/2016 остеопороз и остеопатииunclassified

“…miRs are attractive biomarkers of disease because they are stable and resistant delays in sample processing [7,8].…”

Section: литература № 1/2016 остеопороз и остеопатииmentioning

confidence: 99%

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From Replicative Senescence to Microrna Based Diagnostics of Age-Associated Diseases

Hackl¹,

Weilner²,

Heilmayer³

et al. 2016

Osteopor Bone Dis

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BMD is most often described as a T-score or Z-score, both of which are units of standard deviation (SD). The Z-score describes the number of SDs by which the BMD in an individual differs from the mean value expected for age and sex. The T-score describes the number of SDs by which the BMD in an individual differs from the mean value expected in young healthy individuals.The operational defi nition of osteoporosis is based on the T-score for BMD assessed at the femoral neck and is defi ned as a value for BMD 2.5 SD or more below the young female adult mean (T-score less than or equal to -2.5 SD).The recommended reference range for calculating the T-score is the NHANES III reference database for femoral neck measurements in women aged 20-29 years. Note that the diagnostic criteria for men use the same female reference range as that for women. This arises fortuitously because for any age and BMD at the femoral neck, the risk of hip fracture or a major osteoporotic fracture is about the same in men and women. However, the T-score cannot be used interchangeably with different techniques and at different sites, since the prevalence of osteoporosis and proportion of individuals allocated to any diagnostic category would vary, as does the risk of fracture.Because a variety of non-skeletal factors contributes to fracture risk, the diagnosis of osteoporosis by the use of BMD measurements is at the same time an assessment of a risk factor for the clinical outcome of fracture. For these reasons there is a distinction to be made between the use of BMD for diagnosis and for risk assessment. Since BMD forms but one component of fracture risk, accurate assessment of fracture risk should take into account other readily measured indices of fracture risk that add information to that provided by BMD.A large number of additional risk factors for fracture have been identifi ed. For the purposes of risk assessment, interest lies in those factors that contribute signifi cantly to fracture risk over and above that provided by bone mineral density measurements or age. A caveat is that some risk factors are not amenable to particular treatments, so that the relationship between absolute probability of fracture and reversible risk is important. Liability to falls is an appropriate example where the risk of fracture is high, but treatment with agents affecting bone metabolism may (arguably) have little effect on risk.The FRAX algorithms, developed by the WHO Collaborating Centre for Metabolic Bone Diseases at Sheffi eld, integrate the weight of clinical risk factors for fracture risk, with or without information on BMD, and have been developed by the WHO Collaborating Centre for Metabolic Bone Diseases at Sheffi eld, UK. The risk factors comprise age, sex, low body mass index, previous fragility fracture, parental history of hip fracture, glucocorticoid treatment, current smoking, alcohol intake 3 or more units daily, rheumatoid arthritis and other secondary causes of osteoporosis. The output of FRAX is the 10-year probability of a major os...

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Involvement of extracellular vesicles in aging process and their beneficial effects in alleviating aging‐associated symptoms

Das

Kale

2021

Cell Biology International

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Vesicular Galectin-3 levels decrease with donor age and contribute to the reduced osteo-inductive potential of human plasma derived extracellular vesicles

Cited by 78 publications

References 55 publications

Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging

Circulating miRNAs and miRNA shuttles as biomarkers: Perspective trajectories of healthy and unhealthy aging

From Replicative Senescence to Microrna Based Diagnostics of Age-Associated Diseases

Involvement of extracellular vesicles in aging process and their beneficial effects in alleviating aging‐associated symptoms

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