HCV spontaneous clearers showed low senescence profile in people living with HIV under long ART.

Coinfection with hepatitis C virus (HCV) and human immunodeficiency virus (HIV) increases immune activation, inflammation, and oxidative stress that could lead to premature senescence. Different HCV infections, either acute or chronic infection, could lead to distinct premature cellular senescence in people living with HIV (PLWHIV). Observational study in 116 PLWHIV under antiretroviral treatment with different HCV status: (i) n = 45 chronically infected with HCV (CHC); (ii) n = 36 individuals who spontaneously clarify HCV (SC); (iii) n = 35 HIV controls. Oxidative stress biomarkers were analyzed at lipid, DNA, protein, and nitrates levels, as well as antioxidant capacity and glutathione reductase enzyme. Replicative senescence was evaluated by relative telomere length (RTL) measurement. Additionally, 26 markers of Senescence-Associated Secretory Phenotype (SASP) were analyzed by multiplex immunoassays (Luminex xMAP technology). Differences were evaluated by generalized linear model (GLMs) adjusted by most significant covariates. The SC group had a senescence signature similar to the HIV control group and slightly lower SASP levels. However, significant differences were observed with respect to the CHC group, where an increase in the nitrate concentration [adjusted arithmetic mean ratio, aAMR = 1.73 (1.27-2.35), p < 0.001, q = 0.009] and the secretion of 13 SASP-associated factors [granulocyte macrophage colony-stimulating factor (GM-CSF), interferon-ß, interleukin (IL)-1ß, IL-2, IL-8, IL-13, tumor necrosis factor (TNF)-α, IL-1α, IL-1RA, IL-7, IL-15, C-X-C motif chemokine ligand 10 (IP-10), stem cell factor (SCF); q < 0.1)] was detected. The CHC group also showed higher values of IL-1α, IP-10, and placental growth factor 1 (PIGF-1) than HIV controls. The SC group showed a slightly lower senescence profile than the HIV group, which could indicate a more efficient control of viral-induced senescence due to their immune strengths. Chronic HCV infection in PLWHIV led to an increase in nitrate and elevated SASP biomarkers favoring the establishment of viral persistence.

Dynamics of cellular senescence markers after HCV elimination spontaneously or by DAAs in people living with HIV.

BACKGROUND: We identified that acute or chronic Hepatitis C (HCV) infection in people living with HIV (PLWHIV) results in different senescence profiles. However, variations in these profiles after HCV elimination, spontaneously or with direct-acting antivirals (DAAs), remain unclear. METHODS: Longitudinal observational study (48 weeks) in 70 PLWHIV: 23 PLWHIV with active HCV-chronic infection (CHC) before and after HCV eradication with DAAs, 12 PLWHIV who spontaneously clarify the HCV (SC), and 35 controls (HIV). Oxidative stress was quantified at DNA, lipid, protein, and nitrate levels, as well as the antioxidant capacity and glutathione enzyme. The replicative senescence was evaluated by relative telomere length measurement by PCR and twenty-six factors related to Senescence-Associated Secretory Phenotype (SASP) were characterized by Luminex. Differences in senescence markers was evaluated by generalized linear models. RESULTS: During follow-up, the SC group achieved a significant improvement in glutathione enzyme and lipid peroxidation. The secretion of SASP markers increased but was still lower than that of the HIV group. Overall, the CHC group reduced the levels of oxidative stress and SASP markers to levels like those of the HIV group. No significant differences in telomere shortening were observed between groups. CONCLUSIONS: As the time since spontaneous resolution of HCV infection increased, patients had an improved senescence profile compared to the HIV group. Elimination of chronic HCV infection by DAAs led to a partial improvement of the senescent profile by restoring oxidative stress levels. However, although some SASP markers reached levels like those of the HIV group, others remained altered.

Metabolic Profiling at COVID-19 Onset Shows Disease Severity and Sex-Specific Dysregulation.

Background: metabolic changes through SARS-CoV-2 infection has been reported but not fully comprehended. This metabolic dysregulation affects multiple organs during COVID-19 and its early detection can be used as a prognosis marker of severity. Therefore, we aimed to characterize metabolic and cytokine profile at COVID-19 onset and its relationship with disease severity to identify metabolic profiles predicting disease progression. Material and Methods: we performed a retrospective cross-sectional study in 123 COVID-19 patients which were stratified as asymptomatic/mild, moderate and severe according to the highest COVID-19 severity status, and a group of healthy controls. We performed an untargeted plasma metabolic profiling (gas chromatography and capillary electrophoresis-mass spectrometry (GC and CE-MS)) and cytokine evaluation. Results: After data filtering and identification we observed 105 metabolites dysregulated (66 GC-MS and 40 CE-MS) which shown different expression patterns for each COVID-19 severity status. These metabolites belonged to different metabolic pathways including amino acid, energy, and nitrogen metabolism among others. Severity-specific metabolic dysregulation was observed, as an increased transformation of L-tryptophan into L-kynurenine. Thus, metabolic profiling at hospital admission differentiate between severe and moderate patients in the later phase of worse evolution. Several plasma pro-inflammatory biomarkers showed significant correlation with deregulated metabolites, specially with L-kynurenine and L-tryptophan. Finally, we describe a strong sex-related dysregulation of metabolites, cytokines and chemokines between severe and moderate patients. In conclusion, metabolic profiling of COVID-19 patients at disease onset is a powerful tool to unravel the SARS-CoV-2 molecular pathogenesis. Conclusions: This technique makes it possible to identify metabolic phenoconversion that predicts disease progression and explains the pronounced pathogenesis differences between sexes.

Plasma miRNA profile at COVID-19 onset predicts severity status and mortality.

BACKGROUND: MicroRNAs (miRNAs) have a crucial role in regulating immune response against infectious diseases, showing changes early in disease onset and before the detection of the pathogen. Thus, we aimed to analyze the plasma miRNA profile at COVID-19 onset to identify miRNAs as early prognostic biomarkers of severity and survival. METHODS AND RESULTS: Plasma miRNome of 96 COVID-19 patients that developed asymptomatic/mild, moderate and severe disease was sequenced together with a group of healthy controls. Plasma immune-related biomarkers were also assessed. COVID-19 patients showed 200 significant differentially expressed (SDE) miRNAs concerning healthy controls, with upregulated putative targets of SARS-CoV-2, and inflammatory miRNAs. Among COVID-19 patients, 75 SDE miRNAs were observed in asymptomatic/mild compared to symptomatic patients, which were involved in platelet aggregation and cytokine pathways, among others. Moreover, 137 SDE miRNAs were identified between severe and moderate patients, where miRNAs targeting the SARS CoV-2 genome were the most strongly disrupted. Finally, we constructed a mortality predictive risk score (miRNA-MRS) with ten miRNAs. Patients with higher values had a higher risk of 90-days mortality (hazard ratio = 4.60; p-value < 0.001). Besides, the discriminant power of miRNA-MRS was significantly higher than the observed for age and gender (AUROC = 0.970 vs. 0.881; p = 0.042). CONCLUSIONS: SARS-CoV-2 infection deeply disturbs the plasma miRNome from an early stage of COVID-19, making miRNAs highly valuable as early predictors of severity and mortality.