Publications by authors named "Bilbao A"

Article Synopsis
  • High-resolution mass spectrometry data can be better understood through orthogonal separations, helping to more accurately annotate molecules in untargeted metabolomics.
  • Molecular networks (MNs) serve as a key tool for visualizing relationships between molecular data, improving the annotation process using mathematical graphs.
  • The introduction of molecular hypernetworks (MHNs) offers a more advanced model for representing complex relationships among data, enhancing exploratory analysis and annotation confidence compared to traditional MNs.
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Background: The use of livers with significant steatosis is associated with worse transplantation outcomes. Brain death donor liver acceptance is mostly based on subjective surgeon assessment of liver appearance, since steatotic livers acquire a yellowish tone. The aim of this study was to develop a rapid, robust, accurate, and cost-effective method to assess liver steatosis.

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Objective: To examine whether socioeconomic status is associated with prognosis after the diagnosis of hypertension (HTN), in a population older than 65 years, in the community setting.

Design: Retrospective cohort study.

Setting: All the primary care centres of the Community of Madrid (n=392).

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Patients with schizophrenia receiving antipsychotic treatment present lower mortality rates than those who do not. However, the non-adherence rate is high, which can be partially addressed using long-acting injectable (LAI) antipsychotics. The impact of LAI treatments on all-cause mortality compared to oral antipsychotics remains unclear.

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Ion mobility (IM) is often combined with LC-MS experiments to provide an additional dimension of separation for complex sample analysis. While highly complex samples are better characterized by the full dimensionality of LC-IM-MS experiments to uncover new information, downstream data analysis workflows are often not equipped to properly mine the additional IM dimension. For many samples the data acquisition benefits of including IM separations are all that is necessary to uncover sample information and the full dimensionality of the data is not required for data analysis.

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Article Synopsis
  • * There's a gap in automated quality control tools for metabolomics, as most existing tools focus on proteomics.
  • * PeakQC is a new software developed for automated quality control of mass spectrometry data, functioning across various omics types and instruments, enhancing the quality and reliability of analyses.
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Ion mobility spectrometry (IMS) is a gas-phase analytical technique that separates ions with different sizes and shapes and is compatible with mass spectrometry (MS) to provide an additional separation dimension. The rapid nature of the IMS separation combined with the high sensitivity of MS-based detection and the ability to derive structural information on analytes in the form of the property collision cross section (CCS) makes IMS particularly well-suited for characterizing complex samples in -omics applications. In such applications, the quality of CCS from IMS measurements is critical to confident annotation of the detected components in the complex -omics samples.

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Ion mobility spectrometry-mass spectrometry (IMS-MS or IM-MS) is a powerful analytical technique that combines the gas-phase separation capabilities of IM with the identification and quantification capabilities of MS. IM-MS can differentiate molecules with indistinguishable masses but different structures (e.g.

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Article Synopsis
  • * Recent advancements in top-down mass spectrometry techniques allow for precise analysis of intact proteoforms, enabling better quantification of protein positional isomers (PI), which have the same mass but different PTM arrangements.
  • * An open-source R package has been developed for efficiently quantifying PI, outperforming traditional manual methods in speed while providing a reliable framework for customized proteoform analysis, accessible at https://github.com/EMSL-Computing/isoforma-lib.
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Article Synopsis
  • The leaf-cutter ant ecosystem, specifically focusing on Atta cephalotes, serves as an effective model for understanding plant biomass breakdown, primarily facilitated by a symbiotic fungus called Leucoagaricus gongylophorus.
  • Researchers utilized advanced imaging techniques on thin sections of fungal gardens to study the degradation of lignin, a complex organic polymer, which is crucial in plant structure.
  • By mapping metabolites and proteins together, they discovered distinct microhabitats related to lignin breakdown, highlighting the fungi's important role in decomposing plant materials and revealing insights into the metabolic processes involved.
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Climate change is globally affecting rainfall patterns, necessitating the improvement of drought tolerance in crops. is a relatively drought-tolerant cereal. Functional stay-green sorghum genotypes can maintain green leaf area and efficient grain filling during terminal post-flowering water deprivation, a period of ~10 weeks.

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Treatment with second-generation antipsychotics (SGAs) can cause obesity and other cardiometabolic disorders linked to D2 receptor (DRD2) and to genotypes affecting dopaminergic (DA) activity, within reward circuits. We explored the relationship of cardiometabolic alterations with single genetic polymorphisms rs1799732 (NG_008841.1:g.

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The long-term (>5 y) outcomes following liver transplantation (LT) have not been extensively reported. The aim was to evaluate outcomes of LT recipients who have survived the first 5 years. A multicenter retrospective analysis of prospectively collected data from 3 high volume LT centers (Dallas-USA, Birmingham-UK, and Barcelona-Spain) was undertaken.

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Analysis of ion mobility spectrometry (IMS) data has been challenging and limited the full utility of these measurements. Unlike liquid chromatography-mass spectrometry, where a plethora of tools with well-established algorithms exist, the incorporation of the additional IMS dimension requires upgrading existing computational pipelines and developing new algorithms to fully exploit the advantages of the technology. We have recently reported MZA, a new and simple mass spectrometry data structure based on the broadly supported HDF5 format and created to facilitate software development.

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Purpose: To evaluate the efficacy of applying a combination of intrameniscal and intraarticular infiltrations of Platelet-Rich Plasma (PRP) in patients with meniscal tears, analyzing its failure rate and clinical evolution, as well as factors that may influence the positive response to this treatment.

Methods: Three hundred and ninety-two cases out of 696 met the inclusion criteria and were included in this work. Survival and patient-reported outcome measure (PROM) were collected and analyzed.

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() is involved in the pathogenesis of acne by inducing inflammation and biofilm formation, along with other virulence factors. A () callus lysate is proposed to reduce these effects. The aim of the present work is to study the anti-inflammatory properties of a callus extract from on -stimulated human keratinocytes and the quorum-quenching activities.

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Multidimensional measurements using state-of-the-art separations and mass spectrometry provide advantages in untargeted metabolomics analyses for studying biological and environmental bio-chemical processes. However, the lack of rapid analytical methods and robust algorithms for these heterogeneous data has limited its application. Here, we develop and evaluate a sensitive and high-throughput analytical and computational workflow to enable accurate metabolite profiling.

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The unambiguous identification of lipids is a critical component of lipidomics studies and greatly impacts the interpretation and significance of analyses as well as the ultimate biological understandings derived from measurements. The level of structural detail that is available for lipid identifications is largely determined by the analytical platform being used. Mass spectrometry (MS) coupled with liquid chromatography (LC) is the predominant combination of analytical techniques used for lipidomics studies, and these methods can provide fairly detailed lipid identification.

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Lipids play essential roles in many biological processes and disease pathology, but unambiguous identification of lipids is complicated by the presence of multiple isomeric species differing by fatty acyl chain length, stereospecifically numbered (sn) position, and position/stereochemistry of double bonds. Conventional liquid chromatography-mass spectrometry (LC-MS/MS) analyses enable the determination of fatty acyl chain lengths (and in some cases sn position) and number of double bonds, but not carbon-carbon double bond positions. Ozone-induced dissociation (OzID) is a gas-phase oxidation reaction that produces characteristic fragments from lipids containing double bonds.

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Article Synopsis
  • The study develops a Spanish version of the Reflective Functioning Questionnaire (RFQ-8) to assess mentalization capacity in both general and clinical populations.
  • It involved 603 participants (602 non-clinical and 41 with personality disorders) who completed the questionnaire along with other self-reported measures related to mentalization and psychopathology.
  • Results showed that the Spanish RFQ-8 has a one-factor structure, good internal consistency, and correlates with various psychological constructs, indicating its reliability and validity for assessing reflective functioning in Spanish speakers.
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Purpose: To identify 5-year survival prognostic variables in patients with colorectal cancer (CRC) and to propose a survival prognostic score that also takes into account changes over time in the patient's health-related quality of life (HRQoL) status.

Methods: Prospective observational cohort study of CRC patients. We collected data from their diagnosis, intervention, and at 1, 2, 3, and 5 years following the index intervention, also collecting HRQoL data using the EuroQol-5D-5L (EQ-5D-5L), European Organization for Research and Treatment of Cancer's Quality of Life Questionnaire-Core 30 (EORTC-QLQ-C30), and Hospital Anxiety and Depression Scale (HADS) questionnaires.

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