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Monocyte-derived macrophages aggravate pulmonary vasculitis via cGAS/STING/IFN-mediated nucleic acid sensing

Andrea Ablasser

Kessler et al. identify aberrant DNA recognition by cGAS/STING and IFN-I production by inflammatory macrophages as a driver of severe ANCA-associated vasculitis. Pharmacological interventions blocking this pathway ameliorate disease and accelerate recovery ...

ROCKEFELLER UNIV PRESS2022

Rhesus Blood Typing within a Few Seconds by Packing-Enhanced Nanoscattering on Individual Erythrocytes

Aleksandra Radenovic, Sebastian James Davis, Po-Ling Chang

A method for the ABO and Rhesus (Rh) blood group typing from individual erythrocytes is proposed in this study. Blood-group-specific antibodies immobilized to gold nanoparticles (BG-AuNP) were utilized for the identification of blood groups from individual ...

AMER CHEMICAL SOC2021

Image- and Fluorescence-Based Test Shows Oxidant-Dependent Damages in Red Blood Cells and Enables Screening of Potential Protective Molecules

Gerardo Turcatti, Benjamin Rappaz, David Crettaz, Michel Prudent, Manon Sandra Bardyn

An increase of oxygen saturation within blood bags and metabolic dysregulation occur during storage of red blood cells (RBCs). It leads to the gradual exhaustion of RBC antioxidant protective system and, consequently, to a deleterious state of oxidative st ...

2021

Ultraflexible flow directed device and system

Mahmut Selman Sakar, Lucio Feo Pancaldi-Giubbini, Pietro Luciano Jakobus Dirix

A flow directed device adapted to be guided by a fuid, such as blood, flow within a tubular structure such as a blood vessel is disclosed, said device comprising a proximal end (100), a distal end (101) and an elongated body (102) in between defining a lon ...

2021

Modelling the Intracellular Environment under Uncertainty, from Post-translational Modification to Metabolic Networks

Robin Alexander Denhardt-Eriksson

Modelling and analysis of biological systems is crucial in order to quantitatively explain and predict their behaviour. The importance of modelling in systems biology becomes even more evident when tackling complex, large systems. Approaches that rely on ...

EPFL2021

Decorated graphene oxide flakes with integrated complex of 8-hydroxyquinoline/NiO toward accurate detection of glucose at physiological conditions

Ulf Anders Hagfeldt, Seyyed Alireza Hashemi

The dramatic increase in the number of diabetic people raised the requirement for developing practical diagnostic setups capable of rapid and precise detection of glucose molecules at physiological conditions through non-enzymatic approaches. To address th ...

ELSEVIER SCIENCE SA2021

Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis

Christian Enz, Sandro Carrara, Assim Boukhayma, Antonino Caizzone, Ata Jedari Golparvar

After decades of research on non-invasive glucose monitoring, invasive devices based on finger blood sampling are still the predominant reference for diabetic patients for accurately measuring blood glucose levels. Meanwhile, research continues improving p ...

2021

In vitro investigations of red blood cell phase separation in a complex microchannel network

Francesco Clavica

Microvascular networks feature a complex topology with multiple bifurcating vessels. Nonuniform partitioning (phase separation) of red blood cells (RBCs) occurs at diverging bifurcations, leading to a heterogeneous RBC distribution that ultimately affects ...

2020

Nanoparticle-enhanced Imaging Based Plasmonic Biosensor

Alexander Belushkin

Efficient medical care fundamentally relies on the ability to provide a timely and accurate diagnosis. Thanks to advances in biomedical research, specific molecules called diagnostic molecular biomarkers have been discovered in the human body that help ind ...

EPFL2020

Three-dimensional tomography of red blood cells using deep learning

Demetri Psaltis, Joowon Lim, Ahmed Ayoub

We accurately reconstruct three-dimensional (3-D) refractive index (RI) distributions from highly ill-posed two-dimensional (2-D) measurements using a deep neural network (DNN). Strong distortions are introduced on reconstructions obtained by the Wolf tran ...

2020

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