26 research outputs found
Selective extraction of intracellular components from the microalga Chlorella vulgaris by combined pulsed electric field–temperature treatment
The synergistic effect of temperature (25–65 C) and total specific energy input (0.55–1.11 kWh kgDW
1 ) by
pulsed electric field (PEF) on the release of intracellular components from the microalgae Chlorella vulgaris
was studied. The combination of PEF with temperatures from 25 to 55 C resulted in a conductivity
increase of 75% as a result of cell membrane permeabilization. In this range of temperatures, 25–39% carbohydrates
and 3–5% proteins release occurred and only for carbohydrate release a synergistic effect was
observed at 55 C. Above 55 C spontaneous cell lysis occurred without PEF. Combined PEF–temperature
treatment does not sufficiently disintegrate the algal cells to release both carbohydrates and proteins at
yields comparable to the benchmark bead milling (40–45% protein, 48–58% carbohydrates)
Plasma Proteomic Variables Related to COVID-19 Severity: An Untargeted nLC-MS/MS Investigation
Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection leads to a wide range of clinical manifestations and determines the need for personalized and precision medicine. To better understand the biological determinants of this heterogeneity, we explored the plasma proteome of 43 COVID-19 patients with different outcomes by an untargeted liquid chromatography-mass spectrometry approach. The comparison between asymptomatic or pauci-symptomatic subjects (MILDs), and hospitalised patients in need of oxygen support therapy (SEVEREs) highlighted 29 proteins emerged as differentially expressed: 12 overexpressed in MILDs and 17 in SEVEREs. Moreover, a supervised analysis based on a decision-tree recognised three proteins (Fetuin-A, Ig lambda-2chain-C-region, Vitronectin) that are able to robustly discriminate between the two classes independently from the infection stage. In silico functional annotation of the 29 deregulated proteins pinpointed several functions possibly related to the severity; no pathway was associated exclusively to MILDs, while several only to SEVEREs, and some associated to both MILDs and SEVEREs; SARS-CoV-2 signalling pathway was significantly enriched by proteins up-expressed in SEVEREs (SAA1/2, CRP, HP, LRG1) and in MILDs (GSN, HRG). In conclusion, our analysis could provide key information for 'proteomically' defining possible upstream mechanisms and mediators triggering or limiting the domino effect of the immune-related response and characterizing severe exacerbations
Effect of temperature and energy input on PEF processing of the green microalgae Chlorella vulgaris
Microalgae are a promising source for proteins, lipids and carbohydrates for the cosmetic, nutraceutical, chemical, food/feed and biofuel industry. Biorefinery comprises the downstream processing of all products produced by microal-gae after cultivation. However severe conditions can affect the properties of some components. To preventthis, focus needs to be put on biorefinery techniques which are mild and effective. Among the cell disruption techniques, in the last 5 years PEF has been claimed to be promising for opening the cell and improving the extraction of intracellular compo-nents/organelles.
In this study the microalgaeChlorella vulgaris was treated in a lab-scale continuous flow PEF unit.Biomass concentration was set at 25 g/L and PEF treated at 20 kV/cm.The effects of inlet temperature (25-65ºC) and energy input (50-100 kJ/kg) on the release of proteins, sugars, antioxidants and pigments in the aqueous phase was investigated. With respect to the con-trol experiments carried out without electrical pulses, up to 2 g/L of carbohydrates and 1 g/L of protein were released in the aqueous phase when PEF was carried out at both the highest temperature and highest energy input
Omics in chronic kidney disease: Focus on prognosis and prediction
Chronic kidney disease (CKD) patients are characterized by a high residual risk for cardiovascular (CV) events and CKD progression. This has prompted the implementation of new prognostic and predictive biomarkers with the aim of mitigating this risk. The ‘omics’ techniques, namely genomics, proteomics, metabolomics, and transcriptomics, are excellent candidates to provide a better understanding of pathophysiologic mechanisms of disease in CKD, to improve risk stratification of patients with respect to future cardiovascular events, and to identify CKD patients who are likely to respond to a treatment. Following such a strategy, a reliable risk of future events for a particular patient may be calculated and consequently the patient would also benefit from the best available treatment based on their risk profile. Moreover, a further step forward can be represented by the aggregation of multiple omics information by combining different techniques and/or different biological samples. This has already been shown to yield additional information by revealing with more accuracy the exact individual pathway of disease
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