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Common mouse models of tauopathy reflect early but not late human disease | Molecular Neurodegeneration - Vimarsana News

Common mouse models of tauopathy reflect early but not late human disease | Molecular Neurodegeneration

Mouse models that overexpress human mutant Tau (P301S and P301L) are commonly used in preclinical studies of Alzheimer’s Disease (AD) and while several drugs showed therapeutic effects in these mice, they were ineffective in humans. This leads to the question to which extent the murine models reflect human Tau pathology on the molecular level. We isolated insoluble, aggregated Tau species from two common AD mouse models during different stages of disease and characterized the modification landscape of the aggregated Tau using targeted and untargeted mass spectrometry-based proteomics. Th...

Angiopep-2 modified exosomes load rifampicin - Vimarsana News

Angiopep-2 modified exosomes load rifampicin

Loading Rifampin into exosomes and modified the exosomes with a brain-targeting peptide to improve blood-brain barrier permeability of Rifampin

Accurate prediction of periprosthetic joint infection - Vimarsana News

Accurate prediction of periprosthetic joint infection

Valuable inflammatory biomarkers combination for the accurate prediction of periprosthetic joint infection

Plasmodium malariae contributes to high levels of malaria transmission in a forest–savannah transition area in Cameroon | Parasites & Vectors - Vimarsana News

Plasmodium malariae contributes to high levels of malaria transmission in a forest–savannah transition area in Cameroon | Parasites & Vectors

Malaria control efforts are highly skewed towards Plasmodium falciparum while overlooking other Plasmodium species such as P. malariae. A better understanding of the role of Plasmodium species other than P. falciparum is needed to strengthen malaria elimination initiatives. The aim of the present study was to elucidate the contribution of P. malariae to malaria transmission in Cameroon. The study was conducted in the Ngatti Health District, a forest–savannah transition area in the Adamawa Region, Cameroon. A total of 497 individuals aged from 1 to 85 years were diagnosed with ma...

Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection | BMC Infectious Diseases - Vimarsana News

Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection | BMC Infectious Diseases

The discrimination between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) remains challenging. The present study aims to investigate the value of diagnostic models established by machine learning based on multiple laboratory data for distinguishing Mycobacterium tuberculosis (Mtb) infection status. T-SPOT, lymphocyte characteristic detection, and routine laboratory tests were performed on participants. Diagnostic models were built according to various algorithms. A total of 892 participants (468 ATB and 424 LTBI) and another 263 participants (125 ATB and 138 LTBI), were res...