Aggregation of β microglobulin (βm) into amyloid fibrils is associated with systemic amyloidosis, caused by the deposition of amyloid fibrils containing the wild-type protein and its truncated variant, ΔN6 βm, in haemo-dialysed patients. A second form of familial systemic amyloidosis caused by the βm variant, D76N, results in amyloid deposits in the viscera, without renal dysfunction. Although the folding and misfolding mechanisms of β microglobulin have been widely studied in vitro and in vivo, we lack a comparable understanding of the molecular mechanisms underlying toxicity in a cellular and organismal environment. Here, we established transgenic lines expressing wild-type (WT) human βm, or the two highly amyloidogenic naturally occurring variants, D76N βm and ΔN6 βm, in the bodywall muscle. Nematodes expressing the D76N βm and ΔN6 βm variants exhibit increased age-dependent and cell nonautonomous proteotoxicity associated with reduced motility, delayed development and shortened lifespan. Both βm variants cause widespread endogenous protein aggregation contributing to the increased toxicity in aged animals. We show that expression of βm reduces the capacity of to cope with heat and endoplasmic reticulum (ER) stress, correlating with a deficiency to upregulate BiP/ transcripts in response to ER stress in young adult animals. Interestingly, protein secretion in all βm variants is reduced, despite the presence of the natural signal sequence, suggesting a possible link between organismal βm toxicity and a disrupted ER secretory metabolism.
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http://dx.doi.org/10.3390/ijms221910752 | DOI Listing |
Environ Sci Pollut Res Int
May 2024
College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, 201306, China.
It is important to explore the characteristics and rules of atmospheric aerosol in the East Asian Sea for monitoring and evaluating atmospheric environmental quality. Based on Aerosol Robot Network (AERONET), Visible Infrared Imaging Radiometer (VIIRS), and Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) data, the temporal and spatial variation characteristics and differences of aerosol parameters and types in the East Asian Sea were studied by using figure classification method (FIGCM), aerosol optical depth (AOD)-Angstrom exponent (AE) method (AA1M), and AOD-AE method (AA2M). The results show that the seasonal variation trend of aerosol characteristics and types is obvious in East Asia Sea.
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