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Liguori, R.

Publications and source records attributed to Liguori, R..

3 recordsLinked to original sources

Seeding Activity of Skin Misfolded Tau as a Novel Biomarker for Tauopathies

Tauopathies are a group of age-related neurodegenerative diseases with a molecular hallmark of the prion-like propagation and accumulation of pathologically phosphorylated tau protein in the brain. They include Alzheimers disease (AD), progressive supranuclear palsy (PSP), corticobasal degeneration (CBD), and Picks disease (PiD). Currently, in the peripheral tissues and body fluids there are no reliable diagnostic biomarkers available that are able to directly reflect the capability of propagation and spreading of the misfolded tau aggregates. Here, we revealed significantly increased amounts of phosphorylated tau in the skin of AD patients compared to those in other tauopathies and normal controls. Moreover, the seed-amplification assay (SAA) by the ultrasensitive real-time quaking-induced conversion (RT-QuIC) displayed that the prion-like seeding activity of pathological tau in the skin of cadavers with neuropathologically confirmed tauopathies including AD, PSP, CBD, PiD was dramatically higher than that in normal controls, yielding 75-80% sensitivity and 95-100% specificity, respectively, depending on different tau substrates used. The increased tau-seeding activity was also observed in biopsy skin samples from living AD and PSP patients. Moreover, analysis of the end products of skin-tau SAA confirmed that the increased seeding activity is accompanied with formation of tau aggregates that are of different physicochemical properties determined by the different tau-substrates used. Our study provides proof-of-concept that the skin tau-SAA can differentiate tauopathies from normal controls, suggesting that the seeding activity of the skin misfolded tau can serve as an accurate diagnostic biomarker of tauopathies.

neuroscience↗

Biomass, microbial composition and functions are responsible for the differential removal of trace organic chemicals in biofiltration systems

Biofiltration processes help to remove trace organic chemicals (TOrCs) both in wastewater and drinking water treatment systems. However, the detailed TOrCs biotransformation mechanisms as well as the underlying drivers behind the variability of site specific transformation processes remain elusive. In this study, we used laboratory batch incubations to investigate the biotransformation of 51 TOrCs in eight bioactive filter materials of different origins treating a range of waters, from wastewater effluents to drinking water. Microscopy, 16S rRNA amplicon and whole metagenome sequencing for assessing associations between the biotransformation rate constants, microbial composition and genetic potential complemented chemical analysis. We observed strong differences in the mean global removal of TOrCs between the individual sand filters (-1.4% to 58%), which were mirrored in overall biomass, microbial community composition, and enzyme encoding genes. From the six investigated biomass markers, ATP turned out to be a major predictor of the mean global biotransformation rate, while compound specific biotransformations were correlated with the microbial community composition. High biomass ecosystems were indicated in our systems by a dominance of Nitrospirae, but individual TOrC biotransformation was statistically connected to rare taxa (< 2%) such as Hydrogenophaga, or indiviudal functions such as the enoyl-CoA hydratase/3-hydroxyacyl-CoA dehydrogenase encoding genes. In general, this study provides new insights into so far rarely addressed variability of TOrCs biotransformation. We propose novel biological indicators for the removal performance of TOrCs in biofiltration systems, highlighting the role of living biomass in predicting and normalizing the global transformation, and the role of the microbial community for the individual transformation of TOrCs in engineered and natural systems. Contribution to the Field StatementTrace organic chemicals (TOrCs) are an emerging problem in the aquatic environment that has attracted global attention over the last decade. Recent research efforts on this topic have increased our knowledge on the transformation of TOrCs and various technologies have been developed to improve their removal. In this study, we investigated a wide range of biotransformation of TOrCs by eight sand filter materials from wastewater and water treatment plants. Biotransformation rate constants were calculated using first-order kinetics to evaluate TOrC removal performance. We reevaluated the role of biomass and could thus explain a greater part of the global TOrC removal performance. The remaining variation in removal rates of individual compounds correlated with the microbiome of the biofilter. Rare biosphere lineages and specific enzyme categories genes were correlated with the removal of certain compounds. In summary, our research identified future indicators for successful biotransformation of TOrCs in biofilter systems.

microbiology↗

Microbial retention and resistances in stormwater quality improvement devices treating road runoff

Current knowledge about the microbial communities that occur in in urban road runoff is scarce. Road runoff of trafficked roads can be heavily polluted and is treated by stormwater quality improvement devices (SQIDs). However, microbes may influence the treatment process of these devices or could lead to stress resistant opportunistic microbial strains. In this study, the microbial community in the influent, effluent and the filter materials for the removal of dissolved heavy metals of two different SQIDs were analyzed to determine the microbial load, retention, composition, and mobile resistance genes. Although the microbes were replaced by new taxa in the effluent, there was no major retention of microbial genera. Further, the bacterial abundance of the SQIDs effluent was relatively stable over time. The heavy metal content correlated with intl1 and with microbial genera. The filter media itself was enriched with Intl1 gene cassettes, carrying several heavy metal and multidrug resistance genes (e.g. czrA, czcA, silP, mexW and mexI), indicating that this is a hot spot for horizontal gene transfer. Overall, the results shed light on road runoff microbial communities, and pointed to distinct bacterial communities within the SQIDs, which subsequently influence the microbial community and the genes released with the treated water.

microbiology↗