2,720 research outputs found
Near-Infrared Variability Study of the Central 2.3 arcmin x 2.3 arcmin of the Galactic Centre I. Catalog of Variable Sources
We used four-year baseline HST/WFC3 IR observations of the Galactic Centre in
the F153M band (1.53 micron) to identify variable stars in the central
~2.3'x2.3' field. We classified 3845 long-term (periods from months to years)
and 76 short-term (periods of a few days or less) variables among a total
sample of 33070 stars. For 36 of the latter ones, we also derived their periods
(<3 days). Our catalog not only confirms bright long period variables and
massive eclipsing binaries identified in previous works, but also contains many
newly recognized dim variable stars. For example, we found \delta Scuti and RR
Lyrae stars towards the Galactic Centre for the first time, as well as one BL
Her star (period < 1.3 d). We cross-correlated our catalog with previous
spectroscopic studies and found that 319 variables have well-defined stellar
types, such as Wolf-Rayet, OB main sequence, supergiants and asymptotic giant
branch stars. We used colours and magnitudes to infer the probable variable
types for those stars without accurately measured periods or spectroscopic
information. We conclude that the majority of unclassified variables could
potentially be eclipsing/ellipsoidal binaries and Type II Cepheids. Our source
catalog will be valuable for future studies aimed at constraining the distance,
star formation history and massive binary fraction of the Milky Way nuclear
star cluster.Comment: has been accepted to be published in MNRAS, 64 pages, 26 figures. The
complete lists of table 3, 4, 8 and 9 will be published onlin
Near-Infrared Variability Study of the Central 2.3 arcmin x 2.3 arcmin of the Galactic Centre II. Identification of RR Lyrae Stars in the Milky Way Nuclear Star Cluster
Because of strong and spatially highly variable interstellar extinction and
extreme source crowding, the faint (K>15) stellar population in the Milky Way's
nuclear cluster is still poorly studied. RR Lyrae stars provide us with a tool
to estimate the mass of the oldest, relative dim stellar population. Recently,
we analyzed HST/WFC3/IR observations of the central 2.3'x2.3' of the Milky Way
and found 21 variable stars with periods between 0.2 and 1d. Here, we present a
further comprehensive analysis of these stars. The period-luminosity
relationship of RR Lyrae is used to derive their extinctions and distances.
Using multiple approaches, we classify our sample as four RRc, four RRab and
three candidates, ten binaries. Especially, the four RRabs show sawtooth light
curves and fall exactly onto the Oosterhoff I division in the Bailey diagram.
Compared to the RRabs reported by Minniti et al, 2016, our new RRabs have
higher extinction (A_K>1.8) and should be closer to the Galactic Centre. The
extinction and distance of one RRab match those for the nuclear star cluster
given in previous works. We perform simulations and find that after correcting
for incompleteness, there could be no more than 40 RRabs within the nuclear
star cluster and in our field-of-view. Through comparing with the known
globular clusters of the Milky Way, we estimate that if there exists an old,
metal-poor (-1.5<[Fe/H]<-1) stellar population in the Milky Way nuclear star
cluster on a scale of 5x5pc, then it contributes at most 4.7x10^5 solar mass,
i.e., ~18% of the stellar mass.Comment: 33 pages, 10 figures. The paper has been accepted to be published in
MNRA
Endocannabinoid regulation of amyloid-induced neuroinflammation
The modulation of endocannabinoid (EC) levels and the activation of cannabinoid receptors are seen as promising therapeutic strategies in a variety of diseases, including Alzheimer’s disease (AD). We aimed to evaluate the effect of the pharmacological and genetic inhibiton of anandamide (AEA)-degrading enzyme in a mouse model of AD (5xFAD). Pharmacological inhibition of the fatty acid amide hydrolase (FAAH) had little impact on the expression of key enzymes and cytokines as well as on the cognitive impairment and plaque deposition and gliosis in 5xFAD mice. CB1 blockade exacerbated inflammation in this transgenic mouse model of AD. The genetic inactivation of FAAH led to increases in the expression of inflammatory cytokines. At the same time, FAAH-null 5xFAD mice exhibited a behavioral improvement in spatial memory that was independent of the level of anxiety and was not CB1-mediated. Finally, mice lacking FAAH showed diminished soluble amyloid levels, neuritic plaques and gliosis. These data reinforce the notion of a role for the endocannabinoid system in neuroinflammation and open new perspectives on the relevance of modulating endocannabinoid levels in the inflammed brain.pre-print687 K
Detection of Distant Relatedness in Biobanks To Identify Undiagnosed Cases of Mendelian Disease As Applied to Long Qt Syndrome
Rare genetic diseases are typically studied in referral populations, resulting in underdiagnosis and biased assessment of penetrance and phenotype. To address this, we develop a generalizable method of genotype inference based on distant relatedness and deploy this to identify undiagnosed Type 5 Long QT Syndrome (LQT5) rare variant carriers in a non-referral population. We identify 9 LQT5 families referred to a single specialty clinic, each carrying p.Asp76Asn, the most common LQT5 variant. We uncover recent common ancestry and a single shared haplotype among probands. Application to a non-referral population of 69,819 BioVU biobank subjects identifies 22 additional subjects sharing this haplotype, which we confirm to carry p.Asp76Asn. Referral and non-referral carriers have prolonged QT interval corrected for heart rate (QTc) compared to controls, and, among carriers, the QTc polygenic score is independently associated with QTc prolongation. Thus, our innovative analysis of shared chromosomal segments identifies undiagnosed cases of genetic disease and refines the understanding of LQT5 penetrance and phenotype
Potentiation of amyloid beta phagocytosis and amelioration of synaptic dysfunction upon FAAH deletion in a mouse model of Alzheimer’s disease.
Background: The complex pathophysiology of Alzheimer’s disease (AD) hampers the development of effective treatments.
Attempts to prevent neurodegeneration in AD have failed so far, highlighting the need for further clarification
of the underlying cellular and molecular mechanisms. Neuroinflammation seems to play a crucial role in disease
progression, although its specific contribution to AD pathogenesis remains elusive. We have previously shown that
the modulation of the endocannabinoid system (ECS) renders beneficial effects in a context of amyloidosis, which
triggers neuroinflammation. In the 5xFAD model, the genetic inactivation of the enzyme that degrades anandamide
(AEA), the fatty acid amide hydrolase (FAAH), was associated with a significant amelioration of the memory deficit.
Methods: In this work, we use electrophysiology, flow cytometry and molecular analysis to evaluate the cellular and
molecular mechanisms underlying the improvement associated to the increased endocannabinoid tone in the 5xFAD
mouse−
model.
Results: We demonstrate that the chronic enhancement of the endocannabinoid tone rescues hippocampal
synaptic plasticity in the 5xFAD mouse model. At the CA3–CA1 synapse, both basal synaptic transmission and longterm
potentiation (LTP) of synaptic transmission are normalized upon FAAH genetic inactivation, in a CB1 receptor
(CB1R)- and TRPV1 receptor-independent manner. Dendritic spine density in CA1 pyramidal neurons, which is notably
decreased in 6-month-old 5xFAD animals, is also restored. Importantly, we reveal that the expression of microglial
factors linked to phagocytic activity, such as TREM2 and CTSD, and other factors related to amyloid beta clearance and
involved in neuron–glia crosstalk, such as complement component C3 and complement receptor C3AR, are specifically
upregulated in 5xFAD/FAAH−/− animals.
Conclusion: In summary, our findings support the therapeutic potential of modulating, rather than suppressing,
neuroinflammation in Alzheimer’s disease. In our model, the long-term enhancement of the endocannabinoid tone
triggered augmented microglial activation and amyloid beta phagocytosis, and a consequent reversal in the neuronal
phenotype associated to the diseasepost-print4206 K
CME Evolution in the Structured Heliosphere and Effects at Earth and Mars During Solar Minimum
The activity of the Sun alternates between a solar minimum and a solar
maximum, the former corresponding to a period of "quieter" status of the
heliosphere. During solar minimum, it is in principle more straightforward to
follow eruptive events and solar wind structures from their birth at the Sun
throughout their interplanetary journey. In this paper, we report analysis of
the origin, evolution, and heliospheric impact of a series of solar transient
events that took place during the second half of August 2018, i.e. in the midst
of the late declining phase of Solar Cycle 24. In particular, we focus on two
successive coronal mass ejections (CMEs) and a following high-speed stream
(HSS) on their way towards Earth and Mars. We find that the first CME impacted
both planets, whilst the second caused a strong magnetic storm at Earth and
went on to miss Mars, which nevertheless experienced space weather effects from
the stream interacting region (SIR) preceding the HSS. Analysis of
remote-sensing and in-situ data supported by heliospheric modelling suggests
that CME--HSS interaction resulted in the second CME rotating and deflecting in
interplanetary space, highlighting that accurately reproducing the ambient
solar wind is crucial even during "simpler" solar minimum periods. Lastly, we
discuss the upstream solar wind conditions and transient structures responsible
for driving space weather effects at Earth and Mars.Comment: 27 pages, 7 figures, 1 table, accepted for publication in Space
Weathe
Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: an expert assessment
As the permafrost region warms, its large organic carbon pool will be increasingly vulnerable to decomposition, combustion, and hydrologic export. Models predict that some portion of this release will be offset by increased production of Arctic and boreal biomass; however, the lack of robust estimates of net carbon balance increases the risk of further overshooting international emissions targets. Precise empirical or model-based assessments of the critical factors driving carbon balance are unlikely in the near future, so to address this gap, we present estimates from 98 permafrost-region experts of the response of biomass, wildfire, and hydrologic carbon flux to climate change. Results suggest that contrary to model projections, total permafrost-region biomass could decrease due to water stress and disturbance, factors that are not adequately incorporated in current models. Assessments indicate that end-of-the-century organic carbon release from Arctic rivers and collapsing coastlines could increase by 75% while carbon loss via burning could increase four-fold. Experts identified water balance, shifts in vegetation community, and permafrost degradation as the key sources of uncertainty in predicting future system response. In combination with previous findings, results suggest the permafrost region will become a carbon source to the atmosphere by 2100 regardless of warming scenario but that 65%–85% of permafrost carbon release can still be avoided if human emissions are actively reduced
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