Biology subjects

Fernandez, J. A.

Publications and source records attributed to Fernandez, J. A..

7 recordsLinked to original sources

bioRxiv2026

Muscle spatial lipidomics identifies early ALS signatures in presymptomatic SOD1G93A mice

Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease whose diagnosis often remains delayed. Skeletal muscle is increasingly recognized as an early contributor to ALS pathology. Using lipid imaging mass spectrometry (LIMS) in Tibialis anterior muscle from hSOD1G93A mice across disease stages, we identified fiber-type-specific and sex-dependent lipid remodeling. Lipid alterations were detected at the presymptomatic stage, preceding motor neuron loss and clinical symptoms. LIMS distinguished fast-twitch oxidative-glycolytic (type IIA) and glycolytic (type IIB/IIX) fibers and revealed their differential vulnerability to disease. Presymptomatic mutant muscles showed loss of physiological lipid signatures alongside disease-specific lipid changes. Although lipid profiles differed between sexes, ALS-associated alterations enabled accurate discrimination of mutant mice before symptom onset. Importantly, similar disease-related lipid changes were detected in serum, enabling accurate classification of presymptomatic animals. These findings establish lipid remodeling as an early ALS event and highlight novel biomarkers with potential for diagnosis and disease monitoring.

neuroscience↗

bioRxiv2026

A Fine-Tuned Phosphatidylinositol Profile Contributes to Colonocyte Differentiation and Malignization: Evidence From Integrated Omics

Membrane lipid composition changes concomitantly with human colonocyte differentiation, a tightly regulated process occurring along the colon crypt. This process is heavily disrupted in colon cancer. Nonetheless, the regulatory mechanisms driving these changes, especially the replacement of arachidonic acid phosphatidylinositol species with monounsaturated fatty acid species, and how they are altered in cancer, remain unknown. To establish the transcriptional networks underlying this remodeling, we integrated transcriptomic and lipidomic profiles of isolated healthy and tumor human colonocytes using system biology approaches; identifying key gene regulatory networks involved in arachidonic acid and eicosanoid metabolism and phosphatidylinositol cycle as significant regulators during differentiation. Consistently, a distinct impact was found on organoid differentiation depending on colonocyte subtype and specific prostaglandin. Remarkably, the shift and associated transcriptomic programs were lost in tumor that heightened phosphoinositide metabolism. Altogether, these results underscore the importance of lipid remodeling in colonocyte stemness maintenance and proper onset of differentiation programs.

systems biology↗

bioRxiv2025

Characterization of the Lipidome of Neurons in Mouse Brain Nuclei using Imaging Mass Spectrometry

Understanding the molecular composition of the brain at cellular level is essential for deciphering the metabolic alterations associated with brain diseases. Furthermore, the different prevalence of some neurological diseases between males and females highlight the importance of incorporating gender factor in such studies. Here, we demonstrate that using imaging mass spectrometry in negative polarity it is possible to isolate and characterize the lipidome of specific neuronal populations in the mouse brain, including the locus coeruleus (LC), mesencephalic neurons and the substantia nigra pars compacta (SNc). Neuronal identity was validated through immunofluorescence on adjacent serial sections. Comparative analysis revealed that each neuronal population presents a distinct and well-defined lipidic profile, with differences extending across all lipid classes analyzed. Regarding sex-based differences, we found discrete differences in phosphatidylcholine/phosphatidylethanolamine-ether, phosphatidylinositol and sphingomyelin LC neurons. Lipidomic differences were more pronounced in mesencephalic neurons, whereas no significant sex-defendant differences were observed in SNc lipid composition. These findings lay the groundwork for future studies aimed at identifying lipid metabolic dysregulations in the context of neurodegenerative diseases.

neuroscience↗

bioRxiv2023

IRF5 regulates microglial myelin clearance and cholesterol metabolism after demyelination

Interferon regulatory factor 5 (IRF5), a transcription factor highly involved in innate immunity that drives microglia/macrophage towards a pro-inflammatory state, has been associated to multiple sclerosis susceptibility but its role in MS pathogenesis is unknown. Here we analysed the role of IRF5 in multiple sclerosis animal models. Irf5-/- mice showed exacerbated damage in the chronic phase of experimental autoimmune encephalomyelitis (EAE) mice, despite an initial delay in its onset, as well as after lysolecithin injection into the spinal cord. Transcriptomic and lipidomic analysis evidence a role of this transcription factor in myelin metabolism and cholesterol homeostasis. Indeed, Irf5-/- mice showed an aberrant accumulation of myelin debris and lipidic structures, such as CE-containing lipid droplets and cholesterol crystals, suggesting that myelin-derived lipids are not properly processed. Cholesterol crystal accumulation leads to an aberrant inflammatory response, which block oligodendrocyte migration into the core of demyelinated lesion and remyelination. Pharmacologically facilitating cholesterol transport reduces lipid droplet accumulation and ameliorates EAE exacerbated damage in Irf5-/- mice. These results reveal for the first time the role of Irf5, a transcription factor necessary to orchestrate the immune responses, in phagocytes lipid metabolism which could be pivotal in regenerative responses such as remyelination.

neuroscience↗

bioRxiv2022

Enhancer deregulation in TET2 Mutant Clonal Hematopoiesis is associated with increased COVID-19 related inflammation severity and mortality

DNMT3A and TET2 are epigenetic regulators commonly mutated in age related clonal hematopoiesis (CH). Despite having opposed epigenetic functions, these mutations are associated with increased all-cause mortality and a low risk for progression to hematological neoplasms. While individual impacts on the epigenome have been described using different model systems, the phenotypic complexity in humans remains to be elucidated. Here we make use of a natural inflammatory response occurring during coronavirus disease 2019 (COVID-19), to understand the association of these mutations with inflammatory morbidity and mortality. We demonstrate the age-independent, negative impact of DNMT3A mutant CH on COVID-19-related cytokine release severity and mortality. Using single cell proteogenomics we show that DNMT3A mutations involve cells of myeloid and lymphoid lineages. Using single cell multiomics sequencing, we identify cell-specific gene expression changes associated with DNMT3A mutations, along with significant epigenomic deregulation affecting enhancer accessibility, resulting in overexpression of IL32, a proinflammatory cytokine that can result in inflammasome activation in monocytes and macrophages. Finally, we show with single cell resolution that the loss of function of DNMT3A is directly associated with increased chromatin accessibility in mutant cells. Together, these data provide a mechanistic insight into the poor inflammatory outcomes seen in DNMT3A mutant CH patients infected with Sars-COV2.

genetics↗

bioRxiv2022

An optimized method for the isolation of urinary extracellular vesicles for molecular phenotyping: detection of biomarkers for radiation exposure

BackgroundUrinary extracellular vesicles (EVs) are a source of biomarkers with broad potential applications across clinical research, including monitoring radiation exposure. A key limitation to their implementation is minimal standardization in EV isolation and analytical analysis methods. Further, most urinary EV isolation protocols necessitate large volumes of sample. This study aimed to compare and optimize isolation and analytical methods for EVs from small volumes of urine. Methods3 EV isolation methods were compared: ultracentrifugation, magnetic bead-based, and size-exclusion chromatography from 0.5 mL or 1 mL of rat and human urine. EV yield and mass spectrometry signals (Q-ToF and Triple Quad) were evaluated from each method. Metabolomic profiling was performed on EVs isolated from the urine of rats exposed to ionizing radiation 1-, 14-, 30- or 90-days post-exposure, and human urine from patients receiving thoracic radiotherapy for the treatment of lung cancer pre- and post-treatment. ResultsSize-exclusion chromatography is the preferred method for EV isolation from 0.5 mL of urine. Mass spectrometry-based metabolomic analyses of EV cargo identified biochemical changes induced by radiation, including altered nucleotide, folate, and lipid metabolism. We have provided standard operating procedures for implementation of these methods in other laboratories. ConclusionsWe demonstrate that EVs can be isolated from small volumes of urine and analytically investigated for their biochemical contents to detect radiation induced metabolomic changes. These findings lay a groundwork to develop future methods to monitor response to radiotherapy and can be extended to an array of molecular phenotyping studies aimed at characterizing EV cargo.

cancer biology↗

bioRxiv2017

QuPath: Open source software for digital pathology image analysis

QuPath is new bioimage analysis software designed to meet the growing need for a user-friendly, extensible, open-source solution for digital pathology and whole slide image analysis. In addition to offering a comprehensive panel of tumor identification and high-throughput biomarker evaluation tools, QuPath provides researchers with powerful batch-processing and scripting functionality, and an extensible platform with which to develop and share new algorithms to analyze complex tissue images. Furthermore, QuPaths flexible design make it suitable for a wide range of additional image analysis applications across biomedical research.

pathology↗