80 research outputs found
Impaired Mitochondrial ATP Production Downregulates Wnt Signaling via ER Stress Induction.
Wnt signaling affects fundamental development pathways and, if aberrantly activated, promotes the development of cancers. Wnt signaling is modulated by different factors, but whether the mitochondrial energetic state affects Wnt signaling is unknown. Here, we show that sublethal concentrations of different compounds that decrease mitochondrial ATP production specifically downregulate Wnt/β-catenin signaling in vitro in colon cancer cells and in vivo in zebrafish reporter lines. Accordingly, fibroblasts from a GRACILE syndrome patient and a generated zebrafish model lead to reduced Wnt signaling. We identify a mitochondria-Wnt signaling axis whereby a decrease in mitochondrial ATP reduces calcium uptake into the endoplasmic reticulum (ER), leading to endoplasmic reticulum stress and to impaired Wnt signaling. In turn, the recovery of the ATP level or the inhibition of endoplasmic reticulum stress restores Wnt activity. These findings reveal a mechanism that links mitochondrial energetic metabolism to the control of the Wnt pathway that may be beneficial against several pathologies
Differential diagnosis of neurodegenerative dementias with the explainable MRI based machine learning algorithm MUQUBIA
Biomarker-based differential diagnosis of the most common forms of dementia is becoming increasingly important. Machine learning (ML) may be able to address this challenge. The aim of this study was to develop and interpret a ML algorithm capable of differentiating Alzheimer's dementia, frontotemporal dementia, dementia with Lewy bodies and cognitively normal control subjects based on sociodemographic, clinical, and magnetic resonance imaging (MRI) variables. 506 subjects from 5 databases were included. MRI images were processed with FreeSurfer, LPA, and TRACULA to obtain brain volumes and thicknesses, white matter lesions and diffusion metrics. MRI metrics were used in conjunction with clinical and demographic data to perform differential diagnosis based on a Support Vector Machine model called MUQUBIA (Multimodal Quantification of Brain whIte matter biomArkers). Age, gender, Clinical Dementia Rating (CDR) Dementia Staging Instrument, and 19 imaging features formed the best set of discriminative features. The predictive model performed with an overall Area Under the Curve of 98%, high overall precision (88%), recall (88%), and F1 scores (88%) in the test group, and good Label Ranking Average Precision score (0.95) in a subset of neuropathologically assessed patients. The results of MUQUBIA were explained by the SHapley Additive exPlanations (SHAP) method. The MUQUBIA algorithm successfully classified various dementias with good performance using cost-effective clinical and MRI information, and with independent validation, has the potential to assist physicians in their clinical diagnosis
Measurement of the very rare decay
The decay K+âĎ+νν¯
, with a very precisely predicted branching ratio of less than 10â10
,
is among the best processes to reveal indirect effects of new physics.
The NA62 experiment at CERN SPS is designed to study the K+âĎ+νν¯
decay and to measure its branching ratio using a decay-in-flight technique.
NA62 took data in 2016, 2017 and 2018, reaching the sensitivity of the Standard Model
for the K+âĎ+νν¯
decay by the analysis of the 2016 and 2017 data,
and providing the most precise measurement of the branching ratio to date
by the analysis of the 2018 data.
This measurement is also used to set limits on BR(K+âĎ+X
), where X
is a scalar
or pseudo-scalar particle.
The final result of the BR(K+âĎ+νν¯
) measurement and its interpretation in terms
of the K+âĎ+X
decay from the analysis of the full 2016-2018 data set is presented, and future plans and prospects are reviewed
Distensibility of Deformable Aortic Replicas Assessed by an Integrated In-Vitro and In-Silico Approach - DATA
Raw data of the numerical simulation and video analysis of the paper "Distensibility of Deformable Aortic Replicas Assessed by an Integrated In-Vitro and In-Silico Approach"
Impact of intracellular ion channels on cancer development and progression
none4nononeRoberta, Peruzzo; Lucia, Biasutto; Ildiko, Szabo; Luigi, LeanzaPeruzzo, Roberta; Biasutto, Lucia; Szabo', Ildiko'; Leanza, Luig
Mitochondrial potassium channels in cell death
Mitochondria are intracellular organelles involved in several processes from bioenergetics to cell death. In the latest years, ion channels are arising as new possible targets in controlling several cellular functions. The discovery that several plasma membrane located ion channels have intracellular counterparts, has now implemented this consideration and the number of studies enforcing the understanding of their role in different metabolic pathways. In this review, we will discuss the recent updates in the field, focusing our attention on the involvement of potassium channels during mitochondrial mediated apoptotic cell death. Since mitochondria are one of the key organelles involved in this process, it is not surprising that potassium channels located in their inner membrane could be involved in modulating mitochondrial membrane potential, ROS production, and respiratory chain complexes functions. Eventually, these events lead to changes in the mitochondrial fitness that prelude to the cytochrome c release and apoptosis. In this scenario, both the inhibition and the activation of mitochondrial potassium channels could cause cell death, and their targeting could be a novel pharmacological way to treat different human diseases
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