Biology subjects

Letizia, A.

Publications and source records attributed to Letizia, A..

4 recordsLinked to original sources

bioRxiv2023

Deep Phenotyping of the Lipidomic Response in COVID and non-COVID Sepsis

Lipids may influence cellular penetrance by pathogens and the immune response that they evoke. Here we find a broad based lipidomic storm driven predominantly by secretory (s) phospholipase A2 (sPLA2) dependent eicosanoid production occurs in patients with sepsis of viral and bacterial origin and relates to disease severity in COVID-19. Elevations in the cyclooxygenase (COX) products of arachidonic acid (AA), PGD2 and PGI2, and the AA lipoxygenase (LOX) product, 12-HETE, and a reduction in the high abundance lipids, ChoE 18:3, LPC-O-16:0 and PC-O-30:0 exhibit relative specificity for COVID-19 amongst such patients, correlate with the inflammatory response and link to disease severity. Linoleic acid (LA) binds directly to SARS-CoV-2 and both LA and its di-HOME products reflect disease severity in COVID-19. AA and LA metabolites and LPC-O-16:0 linked variably to the immune response. These studies yield prognostic biomarkers and therapeutic targets for patients with sepsis, including COVID-19. An interactive purpose built interactive network analysis tool was developed, allowing the community to interrogate connections across these multiomic data and generate novel hypotheses.

systems biology↗

bioRxiv2023

Wengen, a Tumour Necrosis Factor Receptor, regulates the Fibroblast Growth Factor pathway by an unconventional mechanism

Unveiling the molecular mechanisms of receptor activation has led to much understanding of development as well as the identification of important drug targets. We use the Drosophila tracheal system to study the activity of two families of widely used and conserved receptors, the TNFRs and the RTK-FGFRs. Breathless, an FGFR, is known to respond to ligand by activating the differentiation program of the tracheal terminal cell. Here we show that Wengen, a TNFR, acts independently of both its canonical ligand and its downstream pathway genes to repress terminal cell differentiation. In contrast to Breathless, Wengen does not stably localise at the membrane and is instead internalised -- a trafficking that seems essential for activity. We find that Wengen forms a complex with Breathless, and both colocalise in intracellular vesicles. Furthermore, Wengen regulates Breathless accumulation, likely regulating Breathless intracellular trafficking and degradation. We propose that, in the tracheal context, Wengen interacts with Breathless to regulate its activity in terminal cell differentiation. We suggest that such unconventional mechanism, involving binding by TNFRs to unrelated proteins, may be a general strategy of TNFRs activity.

developmental biology↗

bioRxiv2022

Detection of Dugbe virus from ticks in Ghana

Vector-borne pathogens historically have impacted U.S. warfighters and active-duty personnel stationed both domestically and globally during deployments or forward operations. Tick-borne diseases continue to spread to new geographical regions affecting both animal and human health. In Ghana, there is limited information on the circulating tick-borne pathogens and their risk of infections. This military-to-military vector surveillance study focused on seven sites in Ghana: Navrongo, Airforce Base, 6th Battalion Infantry, Air Borne Force, Army Recruit Training School, 1st Battalion Infantry and 5th Battalion Infantry for detection of tick-borne pathogens. Ticks from these sites were collected by hand-picking with a pair of forceps from domesticated animals including cattle, sheep, goats and dogs. A total of 2,016 ticks were collected from two main ecological zones; the northern Sahel savannah and the coastal savannah. Amblyomma variegatum was the predominant species, accounting for 59.5% of the collected ticks. Next-generation sequencing allowed for Dugbe virus whole genome detection. This study reports the second detection of Dugbe virus in Ghana, which is closely related to Dugbe virus strains from Kenya and Nigeria. This study (sponsored by the Armed Forces Health Surveillance Branch-Global Emerg-ing Infections Surveillance Section) aimed to better inform Force Health Protection (FHP) decisions within the U.S. AFRICOM area of responsibility, the Ghana Armed Forces, and enhance global health security countermeasures. Further surveillance needs to be conducted within the country to determine the distribution of tick-borne pathogens to formulate effective control measures. Author summaryThe prevalence of Dugbe virus in tick species within Ghana was investigated. This study involved seven sampling sites that covered two ecological zones, the northern Sahel savannah and the coastal savannah. About 2,000 ticks were collected from cattle, sheep, goats and dogs and identified using a dissecting microscope. The most predominant tick species was Amblyomma variegatum (59.5%) also known as the tropical bont tick. Using Next-generation sequencing, the full genome of Dugbe virus was for the first time in Ghana identified in A. variegatum. This positive Amblyomma variegatum was collected from the Greater Accra region of Ghana within a military site. The virus was found to be related to Dugbe virus strains from Kenya and Nigeria. Findings from this study show that the trade of livestock across borders facilitates the spread of tick-borne pathogens hence there is a need to enforce measures that prevent the importation of potentially harmful ticks and tick-borne pathogens.

scientific communication and education↗

bioRxiv2021

CHARM: COVID-19 Health Action Response for Marines - association of antigen-specific interferon-gamma and IL2 responses with asymptomatic and symptomatic infections after a positive qPCR SARS-CoV-2 test

SARS-CoV-2 T cell responses are associated with COVID-19 recovery, and Class I- and Class II-restricted epitopes have been identified in the spike (S), nucleocapsid (N) and membrane (M) proteins and others. This prospective COVID-19 Health Action Response for Marines (CHARM) study enabled assessment of T cell responses in symptomatic and asymptomatic SARS-CoV-2 infected participants. At enrollment all participants were negative by qPCR; follow-up occurred biweekly and then bimonthly for the next 6 weeks. Study participants who tested positive by qPCR SARS-CoV-2 test were asked to enroll in an immune response sub-study. FluoroSpot interferon-gamma (IFN-{gamma}) and IL2 responses following qPCR-confirmed infection at enrollment (day 0), day 7 and 14 and more than 28 days later were measured using pools of 17mer peptides covering S, N, and M proteins, or CD4+CD8 peptide pools containing predicted epitopes from multiple SARS-CoV-2 antigens. Among 124 asymptomatic and 105 symptomatic participants, SARS-CoV-2 infection generated IFN-{gamma} responses to the S, N and M proteins that persisted longer in asymptomatic cases. IFN-{gamma} responses were significantly (p=0.001) more frequent to the N pool (51.4%) than the M pool (18.9%) among asymptomatic subjects; however, the difference was not statistically significant (p=0.06) for symptomatic subjects (N pool: 44.4%; M pool: 25.9%). In asymptomatic participants IFN-{gamma} responders to the CD4+CD8 pool responded more frequently to the S pool (55.6%) and N pool (57.1%), than the M pool (7.1%), but symptomatic participants, IFN-{gamma} responses were more frequent to the S pool (75.0%) than N pool (33.3%) and M pool (33.3%). The frequencies of IFN-{gamma} responses to the S and N+M pools peaked 7 days after the positive qPCR test among asymptomatic (S pool: 22.2%; N+M pool: 28.7%) and symptomatic (S pool: 15.3%; N+M pool 21.9%) participants and dropped by >28 days. Magnitudes of post-infection IFN-{gamma} and IL2 responses to the N+M pool were significantly correlated with IFN-{gamma} and IL2 responses to the N and M pools. These data further support the central role of Th1-biased cell mediated immunity IFN-{gamma} and IL2 responses, particularly to the N protein, in controlling COVID-19 symptoms, and justify T cell-based COVID-19 vaccines that include the N and S proteins.

immunology↗