Cigarette smoke alters IL-33 expression and release in airway epithelial cells

AbstractAirway epithelium is a regulator of innate immune responses to a variety of insults including cigarette smoke. Cigarette smoke alters the expression and the activation of Toll Like Receptor 4 (TLR4), an innate immunity receptor. IL-33, an alarmin, increases innate immunity Th2 responses. The aims of this study were to explore whether mini-bronchoalveolar lavage (mini-BAL) or sera from smokers have altered concentrations of IL-33 and whether cigarette smoke extracts (CSE) alter both intracellular expression (mRNA and protein) and release of IL-33 in bronchial epithelial cells. The role of TLR4 in the expression of IL-33 was also explored.Mini-BALs, but not sera, from smokers show reduced concentrations of IL-33. The expression of IL-33 was increased also in bronchial epithelium from smokers. 20% CSE reduced IL-33 release but increased the mRNA for IL-33 by real time PCR and the intracellular expression of IL-33 in bronchial epithelial cells as confirmed by flow cytometry, immunocytochemistry and western blot analysis. The effect of CSE on IL-33 expression was also observed in primary bronchial epithelial cells. IL-33 expression was mainly concentrated within the cytoplasm of the cells. LPS, an agonist of TLR4, reduced IL-33 expression, and an inhibitor of TLR4 increased the intracellular expression of IL-33. In conclusion, the release of IL-33 is tightly controlled and, in smokers, an altered activation of TLR4 may lead to an increased intracellular expression of IL-33 with a limited IL-33 release

Cigarette smoke increases BLT2 receptor functions in bronchial epithelial cells: in vitro and ex vivo evidence

Leukotriene B4 (LTB4) is a neutrophil chemotactic molecule with important involvement in the inflammatory responses of chronic obstructive pulmonary disease (COPD). Airway epithelium is emerging as a regulator of innate immune responses to a variety of insults including cigarette smoke, the major risk factor for COPD. In this study we have explored whether cigarette smoke extracts (CSE) or soluble mediators present in distal lung fluid samples (mini-bronchoalveolar lavages) from smokers alter the expression of the LTB4 receptor 2 (BLT2) and peroxisome proliferator- activated receptor-a (PPAR-a) in bronchial epithelial cells. We also evaluated the effects of CSE on the expression of intercellular adhesion molecule 1 (ICAM-1) and on the binding of signal transducer and activator of transcription 1 (STAT-1) to ICAM-1 promoter as well as the adhesiveness of neutrophils to bronchial epithelial cells. CSE and minibronchoalveolar lavages from smokers increased BLT2 and ICAM-1 expression as well as the adhesiveness of neutrophils to bronchial epithelial cells and decreased PPAR-a expression. CSE induced the activation of STAT-1 and its binding to ICAM-1 promoter. These findings suggest that, in bronchial epithelial cells, CSE promote a prevalent induction of pro-inflammatory BLT2 receptors and activate mechanisms leading to increased neutrophil adhesion, a mechanism that contributes to airway neutrophilia and to tissue damage

A dense micro-electromechanical system (MEMS)-based seismic network in populated areas: rapid estimation of exposure maps in Trentino (NE Italy)

The micro-electromechanical system (MEMS)-based seismic network of Trentino (NE Italy) consists of 73 low-cost accelerometers installed close to inhabited areas. These sensors have a suitable sensitivity to detect moderate-to-strong earthquakes but are able to record even weaker seismicity. The densely distributed peak ground acceleration values recorded by MEMS and other types of stations are integrated within the existing seismic monitoring procedure in order to automatically obtain a complete set of strong motion parameters a few minutes after the origin time. The exposure of the resident population and critical buildings is estimated by quantifying the different levels of shaking, which is expressed according to the Mercalli–Cancani–Sieberg intensity scale. These types of results, summarized in synthetic portable document format (PDF), can be useful for civil protection purposes to evaluate the state of emergency after a strong earthquake in a timely manner and to choose how and where to activate first aid measures and targeted structural monitoring.</p

Invasive cryptococcal disease in COVID-19: systematic review of the literature and analysis

During the Coronavirus Disease 2019 (COVID-19) pandemic, an increasing number of fungal infections associated with SARS-CoV-2 infection have been reported. Among them, cryptococcosis could be a lifethreatening disease. We performed a Systematic Review (PRISMA Statement) of cryptococcosis and COVID-19 co-infection, case report/series were included: a total of 34 cases were found, then we added our case report. We collected patients’ data and performed a statistical analysis comparing two groups of patients sorted by outcome: “dead” and “alive”. Three cases were excluded for lack of information. To compare categorical data, we used a Fisher-exact test (a=0.05). To compare quantitative variables a U Mann-Whitney test was used (a=0.05), with a 95% Confidence Interval. A total of 32 co-infected patients were included in the statistical analysis. Mortality rate was 17/32 (53.1%): these patients were included in “dead” group, and 15/32 (46.9%) patients survived and were included in “alive” group. Overall, males were 25/32 (78.1%), the median age was 60 years (IQR 53-70) with non-statistically significant difference between groups (p=0.149 and p=0.911, respectively). Three variables were associated with mortality: ARDS, ICU admission and inadequate treatment. Overall, 21 out of 24 (87.5%) patients were in ARDS with a statistically significant difference among two groups (p=0.028). ICU admission for COVID-19 was observed in 18/26 (69.2%), more frequently among dead group (p=0.034). Finally, 15/32 (46.9%) patients had adequate treatment (amphotericin B + flucytosine for invasive cryptococcosis) mostly among alive patients (p=0.039). In conclusion, mortality due to cryptococcal infection among COVID-19 patients remains high but an early diagnosis and appropriate treatment could reduce mortality

Il terremoto del 21 giugno 2013 in Lunigiana. Le attività del coordinamento Sismiko

Il 21 giugno 2013 alle ore 10.33 UTC è stato registrato dalla Rete Sismica Nazionale (RSN) [Amato e Mele, 2008; Delladio, 2011] dell’Istituto Nazionale di Geofisica e Vulcanologia (INGV) un terremoto di magnitudo (ML) 5.2 nel distretto sismico1 denominato “Alpi Apuane” tra i comuni di Minucciano in provincia di Lucca e Fivizzano e Casola in provincia di Massa e Carrara, zona conosciuta come “Lunigiana”. L’evento sismico, localizzato dai sismologi in turno presso la sala di sorveglianza sismica di Roma [Basili, 2011] con coordinate 44.153°N e 10.135° E e una profondità di circa 5 km è stato ben risentito in tutta la penisola centro-settentrionale ed è stato seguito in poche ore da numerosi eventi anche di ML ≥ 3.0 (16 nelle prime 72 ore). Storicamente l’area oggetto della sequenza sismica è stata interessata da numerosi terremoti di magnitudo superiore a 5.0 il più grande dei quali quello avvenuto nel 1920 nella zona della Garfagnana (fonte dati: Catalogo Parametrico dei Terremoti Italiani - CPTI11 [Rovida et al., 2011]), ad una distanza di circa 12 km dal mainshock odierno, interessata anch’essa da una piccola sequenza sismica a gennaio del 2013. In considerazione dell’entità dell’evento e seguendo le procedure definite per le situazioni di emergenza internamente all’INGV anche in accordo con l’Allegato A2 della Convenzione vigente 2012- 20203 fra l’ente e il Dipartimento di Protezione Civile (DPC), è stata attivata la Rete Sismica Mobile della sede INGV di Roma (Re.Mo. [Moretti et al., 2010]). Nell’arco di tempo di poco più un’ora dall’accadimento del mainshock è stata disposta l’installazione di una rete sismica temporanea costituita da sei stazioni a integrazione delle reti sismiche permanenti già presenti in area epicentrale (RSN e Regional Seismic network of North-Western Italy – RSNI [Ferretti et al., 2008; 2010; Eva et al., 2010; Pasta et al., 2011]). Nel contempo sono stati consultati tramite e-mail i referenti delle unità di rete sismica mobile delle altre sedi INGV che nell’ambito del coordinamento “Sismiko” [Moretti et al., 2012] negli ultimi due anni hanno dato la propria disponibilità, in termini di personale e strumentazione, ad intervenire in caso di emergenza sismica; sono stati inoltre contattati i colleghi del Dipartimento di Scienze della Terra, dell’Ambiente e della Vita, dell’Università degli Studi di Genova (DISTAV) i più vicini all’area epicentrale e gestori della RSNI che hanno comunicato loro stessi l’intenzione di installare due stazioni temporanee, una in real-time e una in configurazione stand-alone. In questo lavoro viene descritta l’attività compiuta dalla Rete Sismica Mobile INGV, la tempistica dell’intervento effettuato in sinergia con i colleghi dell’Università di Genova, i dettagli circa l'installazione e la gestione delle stazioni sismiche temporanee nel primo mese di attività e una valutazione del dataset acquisito

Notulae to the Italian native vascular flora: 2

In this contribution new data concerning the Italian distribution of native vascular flora are presented. It includes new records, exclusions, and confirmations to the Italian administrative regions for taxa in the genera Arctostaphylos, Artemisia, Buglossoides, Convolvulus, Crocus, Damasonium, Epipogium, Ficaria, Filago, Genista, Heptaptera, Heracleum, Heteropogon, Hieracium, Myosotis, Ononis, Papaver, Pilosella, Polygonum, Pulmonaria, Scorzonera, Silene, Trifolium, Vicia and Viola

Earthquake rupture forecasts for the mps19 seismic hazard model of Italy

In recent years, new approaches for developing earthquake rupture forecasts (ERFs) have been proposed to be used as an input for probabilistic seismic hazard assessment (PSHA). Zone-based approaches with seismicity rates derived from earthquake catalogs are commonly used in many countries as the standard for national seismic hazard models. In Italy, a single zone-based ERF is currently the basis for the official seismic hazard model. In this contribution, we present eleven new ERFs, including five zone-based, two smoothed seismicity-based, two fault-based, and two geodetic-based, used for a new PSH model in Italy. The ERFs were tested against observed seismicity and were subject to an elicitation procedure by a panel of PSHA experts to verify the scientific robustness and consistency of the forecasts with respect to the observations. Tests and elicitation were finalized to weight the ERFs. The results show a good response to the new inputs to observed seismicity in the last few centuries. The entire approach was a first attempt to build a community-based set of ERFs for an Italian PSHA model. The project involved a large number of seismic hazard practitioners, with their knowledge and experience, and the development of different models to capture and explore a large range of epistemic uncertainties in building ERFs, and represents an important step forward for the new national seismic hazard model