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Alarcon-Riquelme, M.

Publications and source records attributed to Alarcon-Riquelme, M..

3 recordsLinked to original sources

BiomiX-Driven Multi-Omics Integration of PRECISESADS Data Reveals Lysophosphatidic Acid and Metabolic Pathway Signatures in B Cells and Immune Macroenvironment in Sjogren's Disease

ObjectiveSjogrens disease (SjD) is a systemic autoimmune disorder characterized by lymphocytic infiltration of exocrine glands, resulting in xerostomia, keratoconjunctivitis sicca, fatigue, arthralgia, and systemic organ involvement. This study aimed to characterize the metabolic and immune dysregulation of SjD using a multi-omics approach, focusing on the metabolic environment and B-cell transcriptomic responses. MethodsTranscriptomic, methylomic, and metabolomic datasets from whole blood, plasma, and urine of 293 SjD patients and 508 controls were analyzed from the PRECISESADS study. B-cell transcriptomes were included to link systemic metabolic alterations to cell-intrinsic immune programs. Multi-omics factor analysis (MOFA) was used to integrate data and identify discriminant molecular drivers. ResultsMulti-omics integration revealed metabolic rewiring involving the urea cycle, glutamine/arginine metabolism, and NAD depletion linked to interferon signaling. Among the strongest contributors, plasma lysophosphatidic acids (LPA) emerged as key discriminants associated with interferon-driven activation. B-cell transcriptomes showed upregulation of LPA-related genes (CERS6, INPP1, TRIP6), and its receptor LPAR6. Importantly, in this study LPAR6 protein expression was confirmed in B cells for the first time. Secondary findings included alterations in sphingosine-1-phosphate (S1P) metabolism, suggesting a broader lysophospholipid signaling axis. ConclusionsThis study identifies the LPA-LPAR6 signaling axis as a potential metabolic driver of B-cell activation and interferon-associated inflammation in SjD, highlighting a previously unrecognized immunometabolic pathway. These findings highlight LPA-LPAR6 as a candidate target for therapeutic modulation in SjD, while also implicating S1P signaling as a complementary regulatory mechanism.

immunology↗

Interferon-α-Driven Stratification of B Cell Reveals Metabolic Reprogramming of Double Negative, Naive and Transitional cell subsets and Refines Molecular Classification in Söjgren's Disease.

Sjogrens disease (SjD) is a chronic autoimmune condition marked by lymphocytic infiltration of exocrine glands and production of autoantibodies such as anti-SSA/Ro, anti-SSB/La, and rheumatoid factor. B lymphocytes play a central role in disease pathogenesis, driving autoantibody production and glandular damage, and contributing to lymphomagenesis. Despite promising therapies, no effective treatment is currently available, partly due to the biological and clinical heterogeneity of the disease. While interferon (IFN) signatures and B cell-related markers are used for patient stratification, their integration remains unexplored. This study analyzed B cell transcriptional and metabolic profiles using bulk transcriptomic, clinical, and flow cytometry data from the PRECISESADS consortium, alongside public single-cell RNA-sequencing datasets. A B cell-specific IFN- signature was established to stratify patients into IFN-positive and IFN-negative groups. Both showed reduced oxidative phosphorylation (OXPHOS) and translation in B cell subsets, suggesting a shared pre-metabolic state. IFN-positive patients, however, displayed additional features, including enhanced glycolysis, amino acid and lipid metabolism, autophagy, and NF-{kappa}B signaling. They also showed an expansion of IFN-activated naive (Naive IFN), Transitional, and double-negative (DN) B cells, particularly DN2 and DN2_CXCR3 subsets, which have been linked in the literature to autoreactivity and lymphoma development. The IFN signature in naive B cells and DN2 correlated with elevated anti-SSA/Ro and anti-SSB/La titers, while only naive B cells showed an association with increased histological focus scores. These findings support the relevance of a B cell-specific IFN signature in stratifying SjD patients and suggest new metabolic and transcriptional targets for disease monitoring and therapeutic development. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=135 SRC="FIGDIR/small/672530v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@fd8a4eorg.highwire.dtl.DTLVardef@183241dorg.highwire.dtl.DTLVardef@b7f2d9org.highwire.dtl.DTLVardef@a89349_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

Systemic autoimmune disease patients' blood immunome reveals specificities and commonalities among different diagnostic entities

1BackgroundSystemic autoimmune diseases (SADs) are characterized by internal heterogeneity, overlapping clinical symptoms, and shared molecular pathways. Therefore, they are difficult to diagnose and new tools allowing precise diagnosis are needed. Molecular-based reclassification studies enable to find patterns in a diagnosis-independent way. ObjectiveTo evaluate the possibility of using high-content immunophenotyping for detecting patient subgroups in the context of precise treatment. MethodsWhole blood high-content immunophenotyping of 101 patients with 7 systemic autoimmune diseases and 22 controls was performed using 36-plex mass cytometry panel. Patients were compared across diagnostic entities and re-classified using Monte Carlo reference-based consensus clustering. Levels of 45-plex multiplexed cytokine were measured and used for cluster characterization. ResultsDifferential analysis by diagnosis did not reveal any disease-specific pattern in the cellular compositions and phenotypes but rather their relative similarities. Accordingly, patients were classified into phenotypically distinct groups composed of different diagnostic entities sharing common immunophenotypes and cytokine signatures. These features were mainly based on granulocyte activation and CD38 expression in discrete lymphocyte populations and were related to Th17 or IFN-dependent cytokines. ConclusionsOur data indicate that specific individuals could potentially benefit from the same line of treatment independently of their diagnosis and emphasize the possibility of using immunophenotyping as a stratification tool in precision rheumatology. 2 Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=84 SRC="FIGDIR/small/594621v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@1098351org.highwire.dtl.DTLVardef@18c45a1org.highwire.dtl.DTLVardef@2f5f42org.highwire.dtl.DTLVardef@170e28_HPS_FORMAT_FIGEXP M_FIG C_FIG Key messagesO_LIWhole blood immmunophenotyping could be used to stratify systemic autoimmune patients, thus it is a useful tool in precision medicine. C_LIO_LIPatients groups could benefit from the same line of treatment. C_LI

immunology↗