Biology subjects

Jaeger, M.

Publications and source records attributed to Jaeger, M..

At least 19 recordsLinked to original sources

bioRxiv2026

The neuronal plasticity gene CRTC1 links survival with mitochondrial programs and tumor microenvironment features in Group 3 β medulloblastoma

CREB-regulated transcription coactivator 1 (CRTC1) regulates neuronal development, plasticity, and activity-dependent transcription, but its role in medulloblastoma (MB) remains poorly understood. We investigated expression of the CRTC1 gene during human cerebellar development and across pediatric brain tumors and examined its molecular and clinical associations in MB using public transcriptomic datasets. CRTC1 was broadly expressed in the developing cerebellum, with cell-state-specific variation within the granule-cell lineage. Among pediatric brain tumors, MB showed the highest median CRTC1 expression, which differed significantly among MB molecular groups and subtypes, with highest levels in Group 4 MB. High CRTC1 expression was associated with longer overall survival specifically in Group 3 {beta} MB and remained significant after correction across the 12 molecular subtypes. Within Group 3 {beta} tumors, CRTC1 expression was inversely associated with enrichment of mitochondrial and bioenergetic processes, including oxidative phosphorylation, mitochondrial organization, and mitochondrial translation, whereas CRTC1-high and CRTC1-low tumors displayed distinct transcriptional profiles. CRTC1 was also associated with selected cell-type-related transcriptional signatures related to the tumor microenvironment. These findings identify CRTC1 as a marker of biologically and clinically relevant transcriptional heterogeneity in Group 3 {beta} MB and support further investigation of its functional and prognostic significance.

cancer biology↗

bioRxiv2026

PSEN1 Expression Identifies a Developmentally Distinct Favorable-Prognosis State in SHH α Medulloblastoma

Background: Although PSEN1 is best known for its role in Alzheimer's disease, it also regulates neural development and cerebellar morphogenesis. Medulloblastoma (MB) is the most common malignant pediatric brain tumor and arises from disrupted cerebellar developmental programs. The clinical significance of PSEN1 in MB remains unknown. We investigated the prognostic value and transcriptional correlates of PSEN1 expression across molecular subgroups and subtypes of MB. Methods: Public bulk and single-cell transcriptomic datasets were used to examine PSEN1 expression, associations with overall survival (OS), and transcriptional correlates in MB. The SHH -associated transcriptional pattern was evaluated in an independent cohort, and PSEN1 expression was further examined in the developing human cerebellum and across pediatric brain tumor types. Genes strongly correlated with PSEN1 in SHH MB were subjected to Gene Ontology (GO) enrichment analysis. Results: High PSEN1 expression was consistently associated with significantly longer OS exclusively in SHH MB. The PSEN1-associated transcriptional pattern was reproduced in an independent SHH cohort. PSEN1 was expressed across developing cerebellar cell populations and pediatric brain tumor types, with MB showing intermediate expression among the tumor entities examined. In SHH MB, PSEN1 was associated with a coordinated transcriptional program enriched for RNA homeostasis, intracellular membrane trafficking, protein quality control, lipid and calcium signaling, and developmental pathways. Conclusions: High PSEN1 expression identifies a favorable-prognosis subset of SHH MB and is associated with a distinct transcriptional program related to endomembrane organization and cellular homeostasis rather than canonical SHH signaling. These findings suggest that PSEN1 may mark a developmentally distinct tumor state and generate new hypotheses regarding subtype-specific developmental programs in MB.

cancer biology↗

bioRxiv2026

Metformin modulates autophagy in heterozygous and CRISPR-edited TSC2 primary fibroblasts

BackgroundTuberous Sclerosis Complex (TSC) is a genetic disorder caused by variants in TSC1 or TSC2, leading to mTORC1 hyperactivation and autophagy suppression. Although TSC tumorigenesis typically follows a "two-hit" model, the role of TSC2 haploinsufficiency in autophagy regulation remains unclear. We evaluated autophagy markers in haploinsufficient and gene-edited TSC2 primary cells and investigated the role of metformin in modulating autophagy levels. MethodsPrimary fibroblast cultures were obtained from one healthy individual and three from patients carrying heterozygous germline TSC2 variants: the pathogenic variants c.1008T>G and c.4375C>T.A variant of uncertain significance (VUS) c.724A>T. CRISPR/Cas9-RNP editing was used to model loss of heterozygosity (LOH) in cell pools carrying each variant. Cultures were treated with rapamycin, HBSS, metformin, bafilomycin A1, or vehicle controls, and autophagy was assessed by autolysosomes formation by flow cytometry (acridine orange) and autophagosomes immunofluorescence (LC3 and p-S6K). ResultsIn wild-type cells, only HBSS increased autophagy-positive (acridine orange-positive) cells versus control (15.6% vs. 7.5%; p=0.003). In heterozygous pathogenic cells, rapamycin and metformin increased autophagic cells: c.1008T>G (16.2%, p=0.006; 17.6%, p=0.002) and c.4375C>T (12.5%, p=0.003; 13.3%, p=0.001), versus DMSO controls (9.2% and 7.1%, respectively). VUS c.724A>T cells, with rapamycin increasing autophagic cells (9.74% vs. 6.5%; p=0.0152). In CRISPR-edited cells, all treatments increased the number of autophagic cells compared to the heterozygous cells: c.1008T>G (rapamycin 27.1% vs. 16.7%, p<0.001; metformin 27.2% vs. 17.6%, p<0.001) and c.4375C>T (rapamycin 21.3% vs. 13.1%, p=0.0021; metformin 21.5% vs. 13.6%, p=0.0029). Editing also restored metformin responsiveness in VUS cells (12.5% vs. 8.4%; p=0.0055). Immunochemistry confirmed increased total LC3II and decreased p-S6K across treated cells compared to the control (DMSO). ConclusionThese findings demonstrate that TSC2 haploinsufficiency functionally impairs autophagy prior to second-hit loss. Metformin effectively restores autophagy with phenotypical changes of mTORC1 blockade, highlighting an accessible translational strategy to restore and induce autophagy in TSC cells.

molecular biology↗

bioRxiv2026

Neurofeedback enhances a neural signature of selective attention to speech in cocktail-party settings

Understanding speech in noisy situations is challenging and often fails due to attentional rather than sensory deficits. We report here that neurofeedback can enhance a neural signature of selective attention to speech in a cocktail-party setting. Neural responses to speech were quantified in participants electroencephalogram (EEG) while they attended to one of two audiobooks, presented simultaneously. After each 22s-segment of speech, the participants N1 component was extracted from the temporal response function (TRF). The N1 component is known to be sensitive to attention. During a [~]49-min training session, N1 amplitude values were displayed visually to participants so that they could learn to strengthen their neural responses to target speech and minimise their responses to distracting speech. During neurofeedback training, we found an enhanced N1 component in the response to target audiobooks that was specific to EEG channels used to provide feedback, and not present in a control group that received sham feedback. At right-lateralised fronto-central channels, enhanced N1 components correlated with improvements in a measure of speech comprehension (multiple-choice content questions). These results indicate that neural responses to speech can be regulated through neurofeedback and open up new possibilities to train attentional listening in populations struggling to understand speech in noise.

neuroscience↗

bioRxiv2026

Circulating immune signatures reveal targetable inflammatory pathways in anaplastic thyroid carcinoma

Anaplastic thyroid carcinoma (ATC) is one of the most lethal malignancies. Immune dysregulation is believed to play an important role in ATC. Here, we aimed to characterize the systemic inflammation and the function of circulating immune cells of patients with ATC. First, we retrospectively assessed biochemical parameters of patients with ATC and observed that high systemic inflammation correlated with worse survival. Next, we prospectively investigated the inflammatory proteome, single-cell peripheral blood mononuclear cell transcriptome and epigenetic changes. Circulating concentrations of proinflammatory cytokines were increased in ATC patients. This proinflammatory profile was apparent at the level of gene transcription and chromatin accessibility, especially in monocytes. These findings were substantiated by an increased capacity of peripheral blood mononuclear cells of ATC patients to produce IL-6, IL-8 and lactate. As IL-6 is known to promote tumor cell survival, we assessed its capacity to influence ATC cell proliferation. Blocking IL-6/gp130/Jak/STAT3 pathway inhibited proliferation of ATC cell lines in vitro. In conclusion, these findings show that ATC is characterized by inappropriate systemic inflammation and epigenetic and transcriptional reprogramming of circulating monocytes. Proinflammatory cytokines released by monocytes support survival and proliferation of ATC tumor cells, suggesting a therapeutic potential of targeting this pathway in ATC patients.

cancer biology↗

bioRxiv2026

ArchiCrop: a 3D+t architectural model driven by crop model dynamics

Evolving agricultural practices and contexts invite to reconsider the way crop and plant models represent agroecosystem processes. Crop models assume spatial homogeneity, which reduces confidence in their predictions for structurally heterogeneous systems, whereas FSPMs complexity limits their application to field-scale or large-scale studies. To benefit from strengths of both approaches, we introduce ArchiCrop, a parametric 3D architectural model of cereals that generates plant geometries constrained by crop model dynamics and coordination rules. Inspired by the concept of equifinality, ArchiCrop generates a morphospace of architecturally diverse morphotypes which remain equivalent at crop scale in terms of LAI and height. This multiscale approach enables the comparison of processes computed at different scales on wheat, rice, maize and sorghum. We demonstrate its application evaluating light interception Beers formalism in STICS soil-crop model relying on the leaf-resolved radiosity model Caribu for the 3D reference simulations, for a sorghum monocrop. We show that the consideration of the variability of only two plant architectural traits, leaf insertion angle and leaf number, introduces up to 27% of uncertainty in the cumulated absorbed light at the end of the season. A possible outcome from this method is also the definition of metamodels for crop model processes, as exemplified for extinction coefficient of Beers law. ArchiCrop can support a range of applications, including crop model uncertainty analysis, model-assisted phenotyping, and ideotype design. HighlightsO_LIArchiCrop is the first 3D+t botany-based parametric generative model for cereals. C_LIO_LIArchiCrop downscales crop model dynamics to 3D+t architecture canopies efficiently. C_LIO_LIArchiCrop compares big leaf versus leaf-resolved light interception. C_LIO_LIPlant architectures with same leaf area intercept light with up to 27% variability. C_LIO_LIArchiCrop helps ideotyping, crop model evaluation and error propagation analysis. C_LI Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/716970v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@6534b3org.highwire.dtl.DTLVardef@66df41org.highwire.dtl.DTLVardef@1cb4c9dorg.highwire.dtl.DTLVardef@12fa30_HPS_FORMAT_FIGEXP M_FIG C_FIG

plant biology↗

bioRxiv2026

3D Visualization and Proteomic Analysis of Human Cardiac Transthyretin Amyloidosis Tissue Reveals Microangiopathy and Capillary Occlusion

AO_SCPLOWBSTRACTC_SCPLOWO_ST_ABSBackgroundC_ST_ABSTransthyretin amyloidosis (ATTR) is a progressive, degenerative disease affecting the heart and other organ systems, as well as the peripheral, autonomic, and central nervous systems. Although pharmacological and genetic evidence establishes aggregation as a driver of ATTR pathology, the mechanism by which aggregation compromises post-mitotic tissue function is poorly understood. We utilized bottom-up proteomics on wild-type (WT) human cardiac (WT/WT genotype) and V122I human cardiac (V122I/WT genotype) tissue, combined with tissue clearing technology to create an optically transparent tissue architecture to visualize three-dimensional relationships, to better understand TTR cardiomyopathy (CM). MethodsFlash-frozen 0.5 mm cardiac tissue slices from human subjects with end-stage WT-TTR CM, end-stage V122I CM, and slices from an age-matched human control were used for these experiments. Fibril extraction from diseased tissue followed published protocols. Strong denaturant-mediated proteome tissue extraction on samples from each subject facilitated bottom-up proteomics by using liquid chromatography (LC)-mass spectrometry (MS)/MS. Tissue clearing was performed on 0.5 mm cardiac slices utilizing a lauryl sulfate-based lipid removal strategy. Slices were stained using indirect immunofluorescence with antibodies to protein targets identified by proteomics. We used an antibody to non-native TTR and AmyTracker 480 (an oligothiophene dye that binds to amyloid fibrils) to image TTR deposits. ATTR fibrils were characterized structurally using cryogenic electron microscopy (cryo-EM) followed by helical reconstruction. ResultsProteomic cardiac analysis afforded high spectral counts for transthyretin (TTR) and proteins typically associated with amyloid fibrils, e.g. serum amyloid P (APCS). Fibril and cardiac homogenate proteomics revealed high levels of angiogenic and hemostatic proteins, including those composing the complement and coagulation cascades. 3D imaging revealed loss of normal microvascular architecture in CM samples with regions of hyper- and hypovascularization. Microvascular obstruction by capillary thrombosis was also observed in CM. ATTR fibrils adopted the common spearhead fold and were decorated with collagen VI (COLVI), an extracellular matrix component. ConclusionsWe hypothesize that ATTR CM is a microangiopathy driven by capillary bed thrombo-inflammation and dysregulated angiogenic revascularization. Phenotypic convergence of WT ATTR CM and V122I ATTR CM was observed via proteomics, 3D imaging, and ex vivo fibril characterization by cryo-EM. We provide evidence of capillary thrombosis in ex vivo ATTR CM tissue. Vasodilation and increased capillary permeability expose components of the vascular basement membrane (VBM) to misfolded TTR. These components are known to promote TTR aggregation and stabilize amyloid fibrils in the extracellular space. Congestion of the VBM prevents appropriate revascularization, reducing cardiac exertional capacity over time, leading to heart failure. Our ATTR CM heart tissue proteomics data shows significant overlap with the proteomic profiles of human AD brain tissues, revealing key amyloid, coagulation, complement, and angiogenesis proteins being changed in amyloidoses.

pathology↗

bioRxiv2026

Local albumin excess exacerbates Candida albicans-induced inflammasome activation underlying the immunopathology of vulvovaginal candidiasis.

Vulvovaginal candidiasis (VVC) is a mucosal yeast infection where symptoms are driven by inflammatory responses. The onset of VVC is instigated by the yeast Candida albicans, but the underlying causes of disease-driving hyperinflammation remains incompletely resolved. We found that vaginal albumin concentrations are higher in women with recurrent VVC and during VVC in mice. These albumin levels correlated with inflammatory cytokines in vaginal lavages. While the abundance of this serum protein in the vagina can represent a hallmark of inflammation-induced vascular permeability, we reveal molecular mechanisms by which albumin also drives inflammation. It increased NLRP3 inflammasome activation in human macrophages elicited by C. albicans. Albumin induced fungal adaptations that increased resistance to macrophage-mediated clearance. Further it increased the expression of fungal secreted aspartic protease 1, which we identified as the effector driving inflammasome activation. Moreover, neutrophils show impaired effectivity in clearing C. albicans in presence of albumin. Collectively, vaginal albumin may not only be a consequence of inflammation of the vaginal mucosa, but also can drive hyperinflammatory responses that underlie immunopathology in VVC. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=187 SRC="FIGDIR/small/700771v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@f13fd5org.highwire.dtl.DTLVardef@95e58aorg.highwire.dtl.DTLVardef@11104dforg.highwire.dtl.DTLVardef@56e9be_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2026

Siglec-7 and -15 recognize repeated clustered sulfo-sialo O-glycan motifs on select O-glycoproteins

Siglecs are key immunoreceptors in immune homeostasis and cancer immunosuppression. Diverse endogenous and exogenous sialoglycan ligands induce Siglec-mediated immunoregulation, but the nature of endogenous Siglec ligands and how seemingly ubiquitous sialoglycans achieve selectivity is unclear. Here, we employed a HEK293 cell-based array and glycoprotein reporters designed from human mucins and mucin-like proteins with O-glycans in natural clusters and repeat motifs to dissect specificities of Siglec-7 and -15. We first used precomplexed Siglec-Fc chimera to demonstrate that CHST1-mediated 6-O-sulfation markedly enhanced binding to select O-glycoproteins, namely MAdCAM1, CD43, and PSGL-1. Probing binding properties of Siglec-7 expressed exogenously on CHO cells or endogenously on human monocytes by reverse assays employing fluorophore-tagged O-glycoprotein reporters revealed specific binding to the sulfo-sialyl core1 O-glycoform of the same O-glycoproteins. Our study indicates that Siglec-7 on immune cells employs multivalent interactions with repeated motifs of clustered sulfo-sialyl O-glycans to drive selectivity in ligand interactions and Siglec-induced immunosuppression.

molecular biology↗

bioRxiv2024

From Beeps to Streets: Unveiling Sensory Input and Relevance Across Auditory Contexts

This study investigates the neural basis of sound perception in everyday life using EEG data recorded in an office-like environment over 3.5 hours. We investigated how contextual factors such as personal relevance, task complexity and stimulus properties influence auditory processing in ecologically valid settings. By systematically increasing the complexity of acoustic scenes and tasks, we analysed changes in neural responses, particularly in the N100 and P300 components. Our results show that while the P300 is a stable marker of attention in both isolated sounds and complex soundscapes, the N100 is more sensitive to task complexity and environmental factors. This highlights the importance of context in shaping auditory perception. Furthermore, our results suggest that laboratory-based findings can be partially generalised to real-world settings, although task demands significantly influence neural markers. These findings provide new opportunities to study sound perception in naturalistic settings, without sacrificing the control typically afforded by laboratory studies.

neuroscience↗

bioRxiv2024

Serum Proteome Profiling Identifies N-Cadherin and C-Met as Early Marker Candidates of Therapeutic Response to Neoadjuvant Chemotherapy in Breast Cancer

Breast cancer remains the most common cancer in women worldwide. Neoadjuvant chemotherapy (NACT) is often preferred to adjuvant chemotherapy to achieve tumour shrinkage, monitor response to therapy and facilitate surgical removal in the absence of metastases. In addition, there is strong evidence that pathological complete remission (pCR) is associated with prolonged survival. In this study, we sought to identify candidate markers that signal response or resistance to therapy. We present a retrospective longitudinal serum proteomic study of 22 breast cancer patients (11 with pCR and 11 with non-pCR) matched with 21 healthy controls. Serum was analysed by LC-MS/MS after depletion of abundant proteins by immunoaffinity, trypsinisation, isobaric labelling and fractionation by reversed-phase HPLC. We observed an inverse behaviour of the serum proteins c-Met and N-cadherin after the second cycle of chemotherapy with a high predictive value (AUC 0.93). More pronounced changes were observed after the 6th cycle of NACT, with significant changes in the intensity of the proteins contactin-1, centrosomal protein, sex hormone-binding globuline and cholinesterase. Our study highlights the possibility of monitoring response to NACT using serum as a liquid biopsy.

cancer biology↗

bioRxiv2024

Sound perception in realistic surgery scenarios: Towards EEG-based auditory work strain measures for medical personnel.

Surgical personnel face various stressors in the workplace, including environmental sounds. Mobile electroencephalography (EEG) offers a promising approach for objectively measuring how individuals perceive sounds. In this study, we utilized mobile EEG to explore how a realistic soundscape is perceived during simulated laparoscopic surgery. To examine the varying demands placed on personnel in different situations, we manipulated the cognitive demand during the surgical task, using a memory task. To assess responses to the soundscape, we calculated event-related potentials for distinct sound events and temporal response functions for the ongoing soundscape. Although participants reported varying degrees of demand under different conditions, no significant effects were observed on surgical task performance or EEG parameters. However, changes in surgical task performance and EEG parameters over time were noted, while subjective results remained consistent over time. These findings highlight the importance of using multiple measures to fully understand the complex relationship between sound processing and cognitive demand. Furthermore, in the context of combined EEG and audio recordings in real-life scenarios, sparse representations of the soundscape have advantages over more detailed representations. Our results indicate that both types of representations are equally effective in eliciting neural responses. Overall, this study marks a significant step towards objectively investigating sound processing in applied settings.

neuroscience↗

bioRxiv2022

Proteomic discovery of chemical probes that perturb protein complexes in human cells

Most human proteins lack chemical probes, and several large-scale and generalizable small-molecule binding assays have been introduced to address this problem. How compounds discovered in such "binding-first" assays affect protein function, nonetheless, often remains unclear. Here, we describe a "function-first" proteomic strategy that uses size exclusion chromatography (SEC) to assess the global impact of electrophilic compounds on protein complexes in human cells. Integrating the SEC data with cysteine-directed activity-based protein profiling identifies changes in protein-protein interactions that are caused by site-specific liganding events, including the stereoselective engagement of cysteines in PSME1 and SF3B1 that disrupt the PA28 proteasome regulatory complex and stabilize a dynamic state of the spliceosome, respectively. Our findings thus show how multidimensional proteomic analysis of focused libraries of electrophilic compounds can expedite the discovery of chemical probes with site-specific functional effects on protein complexes in human cells.

biochemistry↗

bioRxiv2022

"Um... it's really difficult to... um.. speak fluently": Neural tracking of spontaneous speech

Spontaneous real-life speech is imperfect in many ways. It contains disfluencies and ill-formed utterances and has a highly variable rate. When listening to spontaneous speech, the brain needs to contend with these features in order to extract the speakers meaning. Here, we studied how the neural response is affected by four specific factors that are prevalent in spontaneous colloquial speech: (1) the presence of non-lexical fillers, (2) the need to detect syntactic boundaries in disfluent speech, and (3) variability in speech rate. Neural activity (EEG) was recorded from individuals as they listened to an unscripted, spontaneous narrative, which was analyzed in a time-resolved fashion to identify fillers and detect syntactic boundaries. When considering these factors in a speech-tracking analysis, which estimates a temporal response function (TRF) to describe the relationship between the stimulus and the neural response it generates, we found that the TRF was affected by both of them. This response was observed for lexical words but not for fillers, and it had an earlier onset for opening words vs. closing words of a clause and for clauses with slower speech rates. These findings broaden ongoing efforts to understand neural processing of speech under increasingly realistic conditions. They highlight the importance of considering the imperfect nature of real-life spoken language, linking past research on linguistically well-formed and meticulously controlled speech to the type of speech that the brain actually deals with on a daily basis.

neuroscience↗

bioRxiv2022

Light-inducible T cell engagers trigger, tune and shape the activation of primary T cells

To mount appropriate responses, T cells integrate complex sequences of receptor stimuli perceived during transient interactions with antigen presenting cells. Although it has been hypothesized that the dynamics of these interactions influence the outcome of T cell activation, methodological limitations have hindered its formal demonstration. Here, we have engineered the Light-inducible T cell engager (LiTe) system, a recombinant optogenetics-based molecular tool targeting the T Cell Receptor (TCR). The LiTe system constitutes a reversible molecular switch displaying exquisite reactivity. As proof of concept, we dissect how specific temporal patterns of TCR stimulation shape T cell activation patterns. We established that CD4+ T cells respond to intermittent TCR stimulation more efficiently than their CD8+ T cells counterparts and provide evidence that distinct sequences of TCR stimulation encode different cytokine programs. Finally, we show that the LiTe system could be exploited to create light-activated bispecific T cell engagers and manipulate tumor cell killing. Overall, the LiTe system provides new opportunities to understand how T cells integrate TCR stimulations and to trigger T cell cytotoxicity with a high spatiotemporal control.

immunology↗

bioRxiv2021

The Immunological Factors Predisposing To Severe COVID-19 Are Already Present In Healthy Elderly And Men

BackgroundMale sex and old age are risk factors for COVID-19 severity, but the underlying causes are unknown. A possible explanation for this might be the differences in immunological profiles in males and the elderly before the infection. Given the seasonal profile of COVID-19, the seasonal response against SARS-CoV-2 could also be different in these groups. MethodsThe abundance of circulating proteins and immune populations associated with severe COVID-19 was analyzed in 2 healthy cohorts. PBMCs of female, male, young, and old subjects in different seasons of the year were stimulated with heat-inactivated SARS-CoV-2. ResultSeveral T cell subsets, which are known to be depleted in severe COVID-19 patients, were intrinsically less abundant in men and older individuals. Plasma proteins increasing with disease severity, including HGF, IL-8, and MCP-1, were more abundant in the elderly and males. The elderly produced significantly more IL-1RA and had a dysregulated IFN{gamma} response with lower production in the summer compared with young individuals. ConclusionsThe immune characteristics of severe COVID-19, described by a differential abundance of immune cells and circulating inflammatory proteins, are intrinsically present in healthy men and the elderly. This might explain the susceptibility of men and the elderly to SARS-CoV-2 infection. SummaryImmunological profile of severe COVID-19, characterized by altered immune cell populations and inflammatory plasma proteins is intrinsically present in healthy men and the elderly. Different age and sex groups show distinct seasonal responses to SARS-CoV-2.

immunology↗

bioRxiv2021

Evolution of cytokine production capacity in ancient and modern European populations

As our ancestors migrated throughout the different continents, natural selection increased the presence of alleles advantageous in the new environments. Heritable variations that alter the susceptibility to diseases vary with the historical period, the virulence of the infections, and their geographical spread. In this study we built polygenic scores for heritable traits influencing the genetic adaptation in the production of cytokines and immune-mediated disorders, including infectious, inflammatory, and autoimmune diseases, and applied them to the genomes of several ancient European populations. We observed that the advent of the Neolithic was a turning point for immune-mediated traits in Europeans, favoring those alleles linked with the development of tolerance against intracellular pathogens and promoting inflammatory responses against extracellular microbes. These evolutionary patterns are also associated with an increased presence of traits related to inflammatory and auto-immune diseases.

genomics↗

bioRxiv2020

The impact of rare and common genetic variation in theInterleukin-1 pathway for human cytokine responses

BackgroundInterleukin(IL)-1 signaling is of major importance in human innate cytokine responses. Common variants in related genes have been linked to various inflammation-mediated diseases and stimulation-induced cytokine responses, but the role of rare variants remains to be elucidated. MethodsIn this study, we characterize the role of rare and common genetic variation, as identified by molecular inversion probe-based sequencing, in 48 genes related to the IL-1 pathway. Using a systems biology approach, we examined the inter-individual variability of in vitro stimulation-specific human cytokine responses from 463 healthy individuals of the Human Functional Genomics Project and assessed the role of rare and common genetic variants, separately and combined, by means of the Sequence Kernel Association Test. ResultsWe identified strong associations for rare genetic variants in NCF4 (adjP=7.2E-05) and CASP1 (adjP=3.0E-05) with IL-6 production in response to PHA and LPS stimulation, respectively. In addition, common variants in IL36A and IL38 were associated to both C. albicans-induced IL-1{beta} (IL36A adjP=0.0442; IL38 adjP=0.0092) and IL-6 production (IL36A adjP=0.0037; IL38 adjP=0.0082), an effect that was stronger at the subpathway level both for IL-1{beta} (adjP=0.0017) and IL-6 (adjP=1.8E-04). The common variant signature for the IL-1{beta} and IL-6 response to C. albicans was confirmed by an association with all anti-inflammatory genes (adjP=1.87E-03 and adjP=5.75E-04), and we validated this finding for non-coding common variants. Lastly, we identified a burden of rare variants in pro-inflammatory genes and LPS-induced IL-6 production (adjP=2.42E-04), and a new role for anti-inflammatory rare variants on S. aureus-stimulated IL-6 production (adjP=6.71E-03). ConclusionsIn conclusion, we show that both common and rare genetic variation in genes of the IL-1 pathway, separately and combined, differentially influence in vitro cytokine responses to various stimuli in healthy individuals. This study therefore accentuates potential mechanisms that are translatable into new hypothesis-driven characterization of common and rare variant involvement in a wide variety of inflammatory and immunological mechanisms and diseases.

systems biology↗