Data Leakage Case

El presente articulo forense abarca los resultados de los conocimientos adquiridos durante el seminario de profundización de informática forense, haciendo uso de las metodologías y herramientas que se deben aplicar en la realización de un análisis e informe pericial. El papel que cumple la informática forense en la actualidad es de suma importancia debido al auge de la tecnología en la vida diaria del ser humano, esto implica que las personas estén expuestas a nuevas formas de caer en actos malintencionados de criminales que utilizan la tecnología como medio para cometer actos delincuenciales es en este punto que la informática forense es una herramienta poderosa para demostrar la inocencia o culpabilidad de cualquier individuo. Por consiguiente, se pretende mostrar las evidencias analizadas y recolectadas en el estudio del caso de filtración de datos de la empresa de tecnología y dispositivos de última generación “OOO”, dictaminándolos de manera clara y entendible para llevar a cabo la demostración de un ejercicio serio en materia

Narrow mutational signatures drive acquisition of multidrug resistance in the fungal pathogen Candida glabrata

Fungal infections are a growing medical concern, in part due to increased resistance to one or multiple antifungal drugs. However, the evolutionary processes underpinning the acquisition of antifungal drug resistance are poorly understood. Here, we used experimental microevolution to study the adaptation of the yeast pathogen Candida glabrata to fluconazole and anidulafungin, two widely used antifungal drugs with different modes of action. Our results show widespread ability of rapid adaptation to one or both drugs. Resistance, including multidrug resistance, is often acquired at moderate fitness costs and mediated by mutations in a limited set of genes that are recurrently and specifically mutated in strains adapted to each of the drugs. Importantly, we uncover a dual role of ERG3 mutations in resistance to anidulafungin and cross-resistance to fluconazole in a subset of anidulafungin-adapted strains. Our results shed light on the mutational paths leading to resistance and cross-resistance to antifungal drugs.The authors thank Ester Saus, Jesse Willis, and Cinta Pegueroles for their help and technical assistance with some of the analyses. M.A.S.-T. received a predoctoral fellowship from the ‘‘Caixa’’ Foundation (LCF/BQ/DR19/11740023). The T.G. group acknowledges support from the Spanish Ministry of Science and Innovation grant no. PGC2018-099921-B-I00, cofounded by the European Regional Development Fund (ERDF); from the CERCA Programme/Generalitat de Catalunya; from the Catalan Research Agency (AGAUR) SGR423; the European Union’s Horizon 2020 research and innovation program under grant agreement no. ERC-2016-724173; and the Marie Sk1odowska-Curie grant agreement no. H2020-MSCA-IF-2017-793699. The group also receives support from an INB grant (PT17/0009/0023-ISCIII-SGEFI/ERDF). The Bioactive Microbial Metabolites research platform (BiMM) is supported by grants K3- G-2/026-2013 and COMBIS/ LS16005, both funded by the Lower Austria Science and Education Fund (NfB).Peer ReviewedPostprint (published version

Evolution of loss of heterozygosity patterns in hybrid genomes of Candida yeast pathogens

Background Hybrids are chimeric organisms with highly plastic heterozygous genomes that may confer unique traits enabling the adaptation to new environments. However, most evolutionary theory frameworks predict that the high levels of genetic heterozygosity present in hybrids from divergent parents are likely to result in numerous deleterious epistatic interactions. Under this scenario, selection is expected to favor recombination events resulting in loss of heterozygosity (LOH) affecting genes involved in such negative interactions. Nevertheless, it is so far unknown whether this phenomenon actually drives genomic evolution in natural populations of hybrids. To determine the balance between selection and drift in the evolution of LOH patterns in natural yeast hybrids, we analyzed the genomic sequences from fifty-five hybrid strains of the pathogenic yeasts Candida orthopsilosis and Candida metapsilosis, which derived from at least six distinct natural hybridization events. Results We found that, although LOH patterns in independent hybrid clades share some level of convergence that would not be expected from random occurrence, there is an apparent lack of strong functional selection. Moreover, while mitosis is associated with a limited number of inter-homeologous chromosome recombinations in these genomes, induced DNA breaks seem to increase the LOH rate. We also found that LOH does not accumulate linearly with time in these hybrids. Furthermore, some C. orthopsilosis hybrids present LOH patterns compatible with footprints of meiotic recombination. These meiotic-like patterns are at odds with a lack of evidence of sexual recombination and with our inability to experimentally induce sporulation in these hybrids. Conclusions Our results suggest that genetic drift is the prevailing force shaping LOH patterns in these hybrid genomes. Moreover, the observed LOH patterns suggest that these are likely not the result of continuous accumulation of sporadic events—as expected by mitotic repair of rare chromosomal breaks—but rather of acute episodes involving many LOH events in a short period of time.This work was supported by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. H2020-MSCA-ITN-2014-642095. The TG group also acknowledges the support from the Spanish Ministry of Economy, Industry, and Competitiveness (MEIC) for the EMBL partnership and grants “Centro de Excelencia Severo Ochoa 2013-2017” SEV-2012-0208 and BFU2015-67107 co-founded by the European Regional Development Fund (ERDF); from the CERCA Programme/Generalitat de Catalunya; from the Catalan Research Agency (AGAUR) SGR857 and grants from the European Union’s Horizon 2020 research and innovation program under the grant agreement ERC-2016-724173. TG also receives support from an INB Grant (PT17/0009/0023—ISCIII-SGEFI/ERDF). The authors thank Dr. Powel Golik’s guidance in the identification of PPR proteins, Simone Mozzachiodi and Dr. Gianni Liti for the helpful discussions on the analysis of meiotic patterns, and all Gabaldón lab members for the helpful discussions and comments on this work, especially Marina Marcet-Houben.Peer ReviewedPostprint (author's final draft

Ventilatory support in critically ill hematology patients with respiratory failure

Introduction: Hematology patients admitted to the ICU frequently experience respiratory failure and require mechanical ventilation. Noninvasive mechanical ventilation (NIMV) may decrease the risk of intubation, but NIMV failure poses its own risks. Methods: To establish the impact of ventilatory management and NIMV failure on outcome, data from a prospective, multicenter, observational study were analyzed. All hematology patients admitted to one of the 34 participating ICUs in a 17-month period were followed up. Data on demographics, diagnosis, severity, organ failure, and supportive therapies were recorded. A logistic regression analysis was done to evaluate the risk factors associated with death and NIVM failure. Results: Of 450 patients, 300 required ventilatory support. A diagnosis of congestive heart failure and the initial use of NIMV significantly improved survival, whereas APACHE II score, allogeneic transplantation, and NIMV failure increased the risk of death. The risk factors associated with NIMV success were age, congestive heart failure, and bacteremia. Patients with NIMV failure experienced a more severe respiratory impairment than did those electively intubated. Conclusions: NIMV improves the outcome of hematology patients with respiratory insufficiency, but NIMV failure may have the opposite effect. A careful selection of patients with rapidly reversible causes of respiratory failure may increase NIMV success

SARS-CoV-2 Neutralizing Antibodies in Mexican Population: A Five Vaccine Comparison

Neutralizing antibodies (NAs) are key immunological markers and are part of the humoral response of the adaptive immune system. NA assays determine the presence of functional antibodies to prevent SARS-CoV-2 infection. We performed a real-world evidence study to detect NAs that confer protection against SARS-CoV-2 after the application of five vaccines (Pfizer/BioNTech, AstraZeneca, Sinovac, Moderna, and CanSino) in the Mexican population. Side effects of COVID-19 vaccines and clinical and demographic factors associated with low immunogenicity were also evaluated. A total of 242 SARS-CoV-2-vaccinated subjects were recruited. Pfizer/BioNTech and Moderna proved the highest percentage of inhibition in a mono-vaccine scheme. Muscular pain, headache, and fatigue were the most common adverse events. None of the patients reported severe adverse events. We found an estimated contagion-free time of 207 (IQR: 182–231) and 187 (IQR: 184–189) days for Pfizer/BioNTech and CanSino in 12 cases in each group. On the basis of our results, we consider that the emerging vaccination strategy in Mexico is effective and safe

Comportamiento agronómico de Maíz (Zea mays L.) cultivado bajo diferentes condiciones hídricas del suelo

El maíz es un cultivo ampliamente utilizado en la economía campesina, sim embargo frente a la alteración de factores agroclimáticos se han encontrado afectaciones en el crecimiento y la productividad. Se requiere realizar estudios con el objeto de determinar el comportamiento de Zea mays L. ante esta situación. Por ello se evaluó el efecto de la disponibilidad hídrica en el suelo sobre el comportamiento agronómico en Maíz (Zea mays L.) variedad ICA-109. Se utilizó un diseño de parcelas completamente al azar con tres repeticiones para evaluar el efecto de tres tratamientos (T1: Punto de Marchitez (PMT), T2: Punto de Capacidad de Campo (PCC), T3: Punto de Saturación del Suelo (PSS)). Se determinó el Índice de Área Foliar (IAF), Tasa de Crecimiento Relativo (TCR), Tasa de Crecimiento Absoluta (TCA), Tasa de Asimilación Neta (TAN) y Tasa de Crecimiento Relativo (TCC) mediante muestreos destructivos cada 15 días. Los resultados encontrados demuestran que los mejores comportamientos en los índices estudiados fueron los tratamientos PMT y PCC, esto debido a su condición hídrica, la condiciones de déficit hídrico y a condiciones normales no influye negativamente sobre el desarrollo morfológico de la planta

Nitrogen fertilization in wheat, in clay soils at the Mexicali valley, Baja California, Mexico

The national and international markets' demand for wheat commercialization is conditioned by quality standards, among which the protein content and percentage of vitreous grain, without white belly, stand out. In them, nitrogen plays an important role in the yield and quality of the wheat grain. For these reasons, the objective of this research was to determine the effect that nitrogen has on yield, grain protein, and the vitreous grain percentage. A field experiment, planted on December 16, 2009, was conducted at the Institute of Agricultural Sciences of the Universidad Autónoma de Baja California. The experimental design was of complete randomized blocks with four repetitions. The assessed treatments were 0, 105, 210, 315, and 340 kg of N ha-1 (N0, N105, N210, N315 and N340, respectively). The sown seed was Aconchi F-76 variety crystal wheat. The evaluated variables were grain yield, protein content, and vitreous grain quantity (without white belly). The results indicated that the 210, 315, and 340 kg of N ha-1 treatments affected the yield, protein content, and white belly decrease in the grain. Grain quality is therefore improved with these nitrogen doses, in relation to the quality of the harvested grain in the plots with 0 kg ha-1 and those cultivated with 105 kg ha-1.

Crosstalk Between LXR and Caveolin-1 Signaling Supports Cholesterol Efflux and Anti-Inflammatory Pathways in Macrophages

© 2021 Ramírez, Torrecilla-Parra, Pardo-Marqués, de-Frutos, Pérez-García, Tabraue, de la Rosa, Martín-Rodriguez, Díaz-Sarmiento, Nuñez, Orizaola, Través, Camps, Boscá and Castrillo.Macrophages are immune cells that play crucial roles in host defense against pathogens by triggering their exceptional phagocytic and inflammatory functions. Macrophages that reside in healthy tissues also accomplish important tasks to preserve organ homeostasis, including lipid uptake/efflux or apoptotic-cell clearance. Both homeostatic and inflammatory functions of macrophages require the precise stability of lipid-rich microdomains located at the cell membrane for the initiation of downstream signaling cascades. Caveolin-1 (Cav-1) is the main protein responsible for the biogenesis of caveolae and plays an important role in vascular inflammation and atherosclerosis. The Liver X receptors (LXRs) are key transcription factors for cholesterol efflux and inflammatory gene responses in macrophages. Although the role of Cav-1 in cellular cholesterol homeostasis and vascular inflammation has been reported, the connection between LXR transcriptional activity and Cav-1 expression and function in macrophages has not been investigated. Here, using gain and loss of function approaches, we demonstrate that LXR-dependent transcriptional pathways modulate Cav-1 expression and compartmentation within the membrane during macrophage activation. As a result, Cav-1 participates in LXR-dependent cholesterol efflux and the control of inflammatory responses. Together, our data show modulation of the LXR-Cav-1 axis could be exploited to control exacerbated inflammation and cholesterol overload in the macrophage during the pathogenesis of lipid and immune disorders, such as atherosclerosis.We thank MINECO FPI predoctoral fellowship granted to MCO (BES-2015-075339). Experimental work was supported by grants from Ministerio de Ciencia, Investigación y Universidades, y Fondo Europeo de Desarrollo Regional (FEDER) Grant REF: PID2019-104284RB-I00/AEI/10.13039/501100011033 (to AC) and support from Networks of Excellence from MINECO (Nuclear Receptors in Cancer, Metabolism and Inflammation [NuRCaMeIn] SAF2017-90604-REDT to AC. Ministerio de Economía, Industria y Competitividad, Ministerio de Ciencia, Investigación y Universidades, and Agencia Estatal de Investigación (SAF2017-82436-R, RTC2017-6283-1), Centro de Investigación Biomédica en Red en Enfermedades Cardiovasculares (CB16/11/00222), Consorcio de Investigación en Red de la Comunidad de Madrid, S2017/BMD-3686 and Fondo Europeo de Desarrollo Regional (to LB). Ministerio de Ciencia, Investigación y Universidades, and Agencia Estatal de Investigación Proyectos de I+D+i Retos Investigación 2018 (RTI2018-095061-B-I00); TALENTO Grant from Madrid Government, Spain (2017-T1/BMD-5333); Consejería de Ciencia, Universidades e Innovación Comunidad de Madrid, Spain (PEJD-2018-POST/BMD-8900 and PEDJ-2018-AI/BDM-9724) to CMR

In vivo partial cellular reprogramming enhances liver plasticity and regeneration.

Mammals have limited regenerative capacity, whereas some vertebrates, like fish and salamanders, are able to regenerate their organs efficiently. The regeneration in these species depends on cell dedifferentiation followed by proliferation. We generate a mouse model that enables the inducible expression of the four Yamanaka factors (Oct-3/4, Sox2, Klf4, and c-Myc, or 4F) specifically in hepatocytes. Transient in vivo 4F expression induces partial reprogramming of adult hepatocytes to a progenitor state and concomitantly increases cell proliferation. This is indicated by reduced expression of differentiated hepatic-lineage markers, an increase in markers of proliferation and chromatin modifiers, global changes in DNA accessibility, and an acquisition of liver stem and progenitor cell markers. Functionally, short-term expression of 4F enhances liver regenerative capacity through topoisomerase2-mediated partial reprogramming. Our results reveal that liver-specific 4F expression in vivo induces cellular plasticity and counteracts liver failure, suggesting that partial reprogramming may represent an avenue for enhancing tissue regeneration

Towards precision medicine: defining and characterizing adipose tissue dysfunction to identify early immunometabolic risk in symptom-free adults from the GEMM family study

Interactions between macrophages and adipocytes are early molecular factors influencing adipose tissue (AT) dysfunction, resulting in high leptin, low adiponectin circulating levels and low-grade metaflammation, leading to insulin resistance (IR) with increased cardiovascular risk. We report the characterization of AT dysfunction through measurements of the adiponectin/leptin ratio (ALR), the adipo-insulin resistance index (Adipo-IRi), fasting/postprandial (F/P) immunometabolic phenotyping and direct F/P differential gene expression in AT biopsies obtained from symptom-free adults from the GEMM family study. AT dysfunction was evaluated through associations of the ALR with F/P insulin-glucose axis, lipid-lipoprotein metabolism, and inflammatory markers. A relevant pattern of negative associations between decreased ALR and markers of systemic low-grade metaflammation, HOMA, and postprandial cardiovascular risk hyperinsulinemic, triglyceride and GLP-1 curves was found. We also analysed their plasma non-coding microRNAs and shotgun lipidomics profiles finding trends that may reflect a pattern of adipose tissue dysfunction in the fed and fasted state. Direct gene differential expression data showed initial patterns of AT molecular signatures of key immunometabolic genes involved in AT expansion, angiogenic remodelling and immune cell migration. These data reinforce the central, early role of AT dysfunction at the molecular and systemic level in the pathogenesis of IR and immunometabolic disorders