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Schumacher, F.

Publications and source records attributed to Schumacher, F..

13 recordsLinked to original sources

Cross-Tissue Concordance of Blood-Trained Protein EpiScores in Donor-Matched GTEx Tissues

Background: Protein EpiScores are DNA methylation (DNAm)-derived predictors of circulating protein levels that may provide accessible biomarkers of disease-related molecular variation. However, because these models were developed in blood, it remains unclear whether they preserve interindividual variation when applied to other tissues. We evaluated the cross-tissue concordance of blood-trained protein EpiScores in matched donors from the Genotype-Tissue Expression (GTEx) project. Methods: We applied 109 published protein EpiScores to DNAm data from whole blood and six matched non-blood tissues using MethylDetectR. The analysis included 54 unique donors contributing 158 blood-tissue pairs: transverse colon (n=45), lung (n=37), prostate (n=33), kidney cortex (n=24), breast mammary tissue (n=10), and ovary (n=9). Fifteen EpiScores had unusable variation, leaving 94 estimable scores per tissue and 564 protein-tissue comparisons. Positive concordance required Pearson and Spearman correlation coefficients to each be at least 0.50; strong concordance required both to be at least 0.70. Benjamini-Hochberg false-discovery-rate (FDR) correction was applied separately across all comparisons for each method. Leave-one-out analyses assessed sensitivity to individual donors, and partial Pearson correlations evaluated sensitivity to available covariates. Protein secretion categories, functional groups, and exploratory demographic and donor-cohort strata were also examined. Results: Ninety-seven of 564 comparisons (17.2%) met the positive-concordance criterion, and 73 of these (75.3%) met the leave-one-out stability criteria. Lung showed the broadest correspondence, with median absolute Pearson and Spearman correlations of 0.594 and 0.555, respectively; 56 of 94 lung EpiScores (59.6%) were concordant, 26 were strongly concordant, and 49 were stable. Other tissues showed more selective concordance, including 10 scores in transverse colon, three in prostate, two in kidney cortex, 15 in breast, and 11 in ovary. After covariate adjustment, median absolute partial r in lung was 0.522, and 68/94 scores had global q-values below 0.05. Among initially concordant pairs, 48/56 in lung retained positive partial r of at least 0.50 and q-values below 0.05, compared with 3/10 in colon, 1/2 in kidney cortex, and 0/3 in prostate. Breast and ovary were too small for adjusted analyses. Lung concordance extended across multiple target-protein secretion categories and functional groups. Exploratory donor-cohort differences did not survive FDR correction. Conclusions: Blood-trained protein EpiScores showed broad correspondence in lung that persisted after adjustment for available covariates. Initially concordant findings in the other tissues eligible for adjustment were mostly covariate-sensitive. These findings identify score-tissue combinations for independent replication and molecular validation and support evaluating cross-tissue correspondence separately for each score and tissue. Concordance between methylation-derived scores does not establish that blood EpiScores measure local tissue protein abundance.

genomics↗

Monitoring Sphingomyelin Biosynthesis at Nanoscale Resolution by Expansion Microscopy

Sphingomyelin is the most abundant sphingolipid in mammalian cells and is synthesized by two isoenzymes, sphingomyelin synthase 1 and 2, located in the Golgi and in the plasma membrane. Abnormal sphingomyelin synthesis is associated with infections and diseases such as diabetes and cancer. Measuring cellular sphingomyelin synthase activity fosters our understanding of how these enzymes are involved in pathological processes and can be crucial for the identification of therapeutic compounds modifying sphingomyelin biosynthesis. We have developed a novel fluorometric assay that enables microscopic detection of cellular sphingomyelin synthase activity. We show that sphingomyelin synthases use propargyl choline and -NH2-{omega}-N3-C6-ceramide to generate trifunctional sphingomyelin, a lipid derivative detectable with spatial resolution via Forster resonance energy transfer. By combining this assay with expansion microscopy, a super-resolution imaging technique, we measured the distribution of de novo synthesized trifunctional sphingomyelin in cells at nanoscale resolution, thereby directly demonstrating sphingomyelin biosynthesis at the Golgi and the plasma membrane. By monitoring sphingomyelin biosynthesis and degradation in cells infected with the obligate intracellular pathogen Chlamydia trachomatis, we dissected the complex sphingolipid metabolization of these bacteria with unprecedented resolution. By correlating spatial metabolic information with lipidomics, we provide a powerful tool for investigating cellular sphingomyelin metabolism. TeaserCombining functional lipids, expansion microscopy and FRET helps visualise sphingolipid metabolism at unprecedented resolution.

biochemistry↗

Chlamydia trachomatis deploys sphingolipids for genome organisation

Chlamydia trachomatis is an obligate intracellular bacterial pathogen and a leading cause of sexually transmitted infections worldwide. During its biphasic developmental cycle, infectious, non-replicative elementary bodies alternate with replicative reticulate bodies within a membrane-bound intracellular niche known as the inclusion. C. trachomatis relies heavily on host-derived metabolites, including sphingolipids, which are essential for inclusion integrity, bacterial growth and production of infectious progeny. Here, using expansion microscopy, we uncover an unexpected localization of sphingolipid derivatives within the highly condensed DNA nucleoids of elementary bodies. These sphingolipids are released from nucleoids prior to DNA decondensation during the elementary-to-reticulate body transition, the earliest phenotypic event in the complex developmental cycle of these bacteria. Thereafter, nucleoids undergo a characteristic DNA decondensation process that we visualized by expansion microscopy. By combining super-resolution imaging with a FRET-based metabolic tracking approach and lipidomics, we identified sphingomyelin derived from the sphingolipid analogues as the sphingolipid species predominantly associated with the condensing nucleoids of elementary bodies. Notably, reticulate bodies arrested in their developmental stage fail to accumulate sphingomyelin, suggesting a role for this lipid in stage-specific DNA condensation. Together, our findings suggest an unanticipated role for sphingolipids in bacterial DNA organization and developmental regulation in C. trachomatis.

microbiology↗

Kidney disease reprograms microbiome-host signaling to promote heart failure

BackgroundHeart failure is prevalent in chronic kidney disease (CKD) and linked to chronic inflammation. CKD-typical gut microbiome dysbiosis may stimulate inflammation, as bacterial aromatic metabolites are highly abundant and engage transcriptional programs through the aryl hydrocarbon receptor (AhR). Whether this axis drives cardiac remodeling and is therapeutically targetable remains unknown. MethodsWe used the subtotal nephrectomy model (STNx) and microbiome depletion by oral antibiotics. We investigated cardiac and renal function, AhR activity, metabolite profiles, and immunophenotypes by flow cytometry and transcriptomics. Candidate metabolite indoxyl sulfate (IxS) was tested in experimental HFpEF. In vivo and in vitro AhR inhibition (AhRi) was performed using a clinically tested compound. Mechanistic studies were performed in primary human and murine cardiac fibroblasts and T cells, as well as translational validation using UK Biobank data. ResultsMicrobiome depletion lowered bacterial metabolites and attenuated cardiac fibrosis and diastolic dysfunction in STNx, identifying AhR-driven expansion of interleukin-17A (IL-17A)-producing T helper cells (TH17) as key effector. Plasma IL-17A was stage-dependently elevated in CKD patients, particularly in HFpEF, and associated with all-cause mortality. Bacterial metabolite IxS promoted TH17 polarization and exacerbated cardiac dysfunction in HFpEF. AhRi using a small molecule inhibitor reduced TH17 abundance and attenuated cardiac fibrosis in STNx. Mechanistically, AhR and IL-17A signaling synergistically induced a conserved pro-fibrotic phenotype in human and murine cardiac fibroblasts, and AhR inhibition blocked ECM production in response to CKD patient serum. ConclusionA microbiome-AhR-IL-17A axis drives CKD-associated cardiac fibrosis. AhRi prevents remodeling, highlighting a potential therapeutic avenue to prevent cardiorenal multimorbidity.

immunology↗

A genome-wide genetic screen identified targets for destabilizing the parasitophorous vacuole of Chlamydia trachomatis

The bacterial pathogen Chlamydia trachomatis employs the effector CpoS to suppress a host defense response that aborts intracellular bacterial growth by inducing host cell death. While conducting a CRISPR knock-out screen for genes contributing to this response, we uncovered a mutant deficient for CpoS to display a markedly increased reliance on host cellular ceramide synthesis, compensating for its diminished ability to acquire sphingolipids via modulating membrane trafficking. Employing the power of the just recently established molecular genetic toolbox for Chlamydia, we developed an innovative microscopic reporter system that revealed the mutant to thrive in unstable parasitophorous vacuoles (inclusions), characterized initially by the release of individual bacteria from otherwise intact-appearing vacuoles. CpoS-deficient inclusions were further destabilized by disruptions in ceramide synthesis, while supplementation of sphingoid bases stabilized them, also preventing the defensive host cell death response. Notably, early inclusion destabilization, achieved by simultaneous disruption of two transport routes, caused infection clearance without damaging the host cells. Overall, this study highlights the inclusions role as a refuge, demonstrates CpoS to maintain inclusion integrity by ensuring sphingolipid supply, and provides directions for a future therapeutic exploitation. SIGNIFICANCEA wide range of clinically significant microbes evolved to hide from the intrinsic defenses of their host cells by thriving within membrane-enclosed pathogen-containing vacuoles. This raises the intriguing possibility that such vacuoles could be targeted therapeutically. The bacterial pathogen Chlamydia trachomatis could be an exceptionally well-suited target for such innovative medicines given its medical importance and strict dependence on host cells. However, progress has been stalled by the lack of sensitive tools for detecting inclusion damage. Here, we resolved this major technical roadblock and uncovered the pathogen to employ the secreted effector CpoS, a modulator of membrane trafficking, to stabilize its vacuole by ensuring adequate sphingolipid supply. These methodological advances and mechanistic insights should promote the development of vacuole-destabilizing therapeutics.

microbiology↗

Fertilization by short-term stored sperm alters DNA methylation patterns in common carp (Cyprinus carpio) embryos at single-base resolution

Short-term storage of sperm in vitro is widely used for artificial fertilization in aquaculture. It has been shown that short-term storage affects sperm motility characteristics, resulting in diminished fertility. However, the detrimental effects of short-term sperm storage on embryos development have remained largely unexplored in single-base methylome resolution. The main aim of the present study was to investigate DNA methylation in the offspring of common carp (Cyprinus carpio) derived from short-term stored sperm. Sperm were stored in artificial seminal plasma on ice (0-2{degrees}C) for 0, 3 and 6 days in vitro, fertilization was performed using oocytes from a single female, and embryos were collected at the mid-blastula stage. Sperm and embryo DNA was extracted, analysed by liquid chromatography with tandem mass spectrometry (LC-MS/MS) and whole genome bisulfite sequencing (WGBS). DNA methylation was then assessed. Sperm storage showed negative effects on motility, viability and DNA integrity, but had no effect on global DNA methylation of spermatozoa and resulting embryos. Results from the WGBS showed that methylation of 3313 genes was affected in the embryos fertilized with the 6-day-stored sperm, and the differentially methylated regions (DMRs) identified were mainly involved in cell adhesion, calcium, mitogen-activated protein kinase and adrenergic signalling, melanogenesis, metabolism and RNA transport. Such results suggest that prolongation of storage time may have certain impacts on embryonic development. These initial results provide valuable information for future consideration of the DNA methylome in embryos generated from short-term stored sperm, which is widely used for genetic management of broodstock in aquaculture.

molecular biology↗

imply: improving cell-type deconvolution accuracy using personalized reference profiles

Real-world clinical samples are often admixtures of signal mosaics from multiple pure cell types. Using computational tools, bulk transcriptomics can be deconvoluted to solve for the abundance of constituent cell types. However, existing deconvolution methods are conditioned on the assumption that the whole study population is served by a single reference panel, which ignores person-to-person heterogeneity. Here we present imply, a novel algorithm to deconvolute cell type proportions using personalized reference panels. imply can borrow information across repeatedly measured samples for each subject, and obtain precise cell type proportion estimations. Simulation studies demonstrate reduced bias in cell type abundance estimation compared with existing methods. Real data analyses on large longitudinal consortia show more realistic deconvolution results that align with biological facts. Our results suggest that disparities in cell type proportions are associated with several disease phenotypes in type 1 diabetes and Parkin-sons disease. Our proposed tool imply is available through the R/Bioconductor package ISLET at https://bioconductor.org/packages/ISLET/.

bioinformatics↗

Secondary bile acid production by gut bacteria promotes Western diet-associated colorectal cancer

Western diet is an important risk factor for the development of sporadic colorectal cancer (CRC). Dietary fat stimulates bile acid (BA) production by the host and their conversion to secondary BAs by 7-dehydroxylating (7DH+) bacteria, but causal proof of their tumor-promoting effects in vivo is lacking. To address this, we performed feeding studies in a genetically engineered pig model of CRC combined with multi-omics analyses and gnotobiotic mouse studies. Western diet worsened the disease phenotype in APC1311/+ pigs. This was accompanied by microbiota changes, increased levels of the secondary bile acid deoxycholic acid (DCA), and higher colonic epithelial cell proliferation. The latter was counteracted by using the BA-scavenging drug colestyramine. Metagenomic analysis across multiple cohorts revealed higher occurrence of bai (BA inducible) operons from Clostridium scindens and close relatives in stool of CRC subjects (n = 1,034). Using two gnotobiotic mouse models of CRC, we demonstrate that colonization with 7DH+ bacteria (C. scindens or Extibacter muris) increased colonic tumor loads. This work provides clear evidence for the causal role of microbiome-derived DCA production in CRC under detrimental dietary conditions, opening avenues for future preventive strategies.

microbiology↗

Standardizing and applying a mating-based whole-genome simulation approach reveals caution in using chromosome-level PCA and kinship estimates

This paper presents a new and efficient method for simulating pseudo-genotype data using the standardized protocol of SLiM, which offers a flexible alternative to traditional methods that rely on large genetic datasets. These datasets can be time-consuming to obtain, especially when institutional review board (IRB) review is involved, making simulation an attractive alternative. While HapGen v2 is the most popular genotype simulator, we found that SLiM has the potential for more customizable simulation to meet multiple needs. To validate our new method, we compared its performance among parallel simulations varying multiple parameters. Our results showed that SLiM is capable of simulating samples up to 333 times the input size, with a low rate of simulated samples that are 2nd or closer relatives (REV), making it a promising alternative to HapGen. We also applied our whole-genome simulation approach to sensitivity analyses of chromosome-level principal component analysis (PCA) and kinship estimation. Our findings revealed important insights into the sensitivity of PCA and kinship estimation, highlighting the unequal distribution of population structure across chromosomes and ancestries. Furthermore, our study provides experimental support for avoiding chromosome-level quality control statistics. Overall, our standardized protocol of SLiM offers a flexible new way to produce pseudo-genotype data, and our findings provide valuable insights that can advance research in the field. By demonstrating the potential of SLiM for more customizable simulations and highlighting the importance of considering the distribution of population structure across chromosomes and ancestries, our research has significant implications for the study of genetics and genomics. Author SummaryIn this publication, we introduce a novel approach to genotype simulation using a mating-based strategy in SLiM. Our approach mimics mitosis computationally and stands out as the only one available as of December 2022 that can maintain cross-chromosome associations during whole-genome level simulation, with no competitors in sight. Additionally, our approach is applicable to regional or chromosomal genotype simulation. When compared to the current gold-standard chromosome-level simulator, HapGen, our approach exhibits superior performance when generating large sample sizes (>13,000). We provide an application example that uses whole-genome simulation to underscore the importance of whole-genome quality control (QC) statistics, such as principal component analysis (PCA) and kinship estimates, compared to the chromosome-level ones. Results of the application indicate instability and bias in the chromosome-level QC statistics. Overall, our approach represents a valuable tool for genetics research that can assist in the evaluation and validation of genetic analyses, and people should avoid chromosome-level QC statistics.

bioinformatics↗

Cell-intrinsic ceramides determine T cell function during melanoma progression

Acid sphingomyelinase (Asm) and acid ceramidase (Ac) are parts of the sphingolipid metabolism. Asm hydrolyzes sphingomyelin to ceramide, which is further metabolized to sphingosine by Ac. Ceramide generates ceramide-enriched platforms that are involved in receptor clustering within cellular membranes. However, the impact of cell-intrinsic ceramide on T cell function is not well characterized. By using T cell-specific Asm- or Ac-deficient mice, with reduced or elevated ceramide levels in T cells, we identified ceramide to play a crucial role in T cell function in vitro and in vivo. T cell-specific ablation of Asm in Asmflox/flox/CD4cre mice resulted in enhanced tumor progression associated with impaired T cell responses, whereas Acflox/flox/CD4cre mice showed reduced tumor growth rates and elevated T cell activation compared to the respective controls upon tumor transplantation. Further in vitro analysis revealed that decreased ceramide content supports CD4+ regulatory T cell differentiation and interferes with cytotoxic activity of CD8+ T cells. In contrast, elevated ceramide concentration in CD8+ T cells from Acflox/flox/CD4cre mice was associated with enhanced cytotoxic activity. Strikingly, ceramide co-localized with the T cell receptor (TCR) and CD3 in the membrane of stimulated T cells and phosphorylation of TCR signaling molecules was elevated in Ac-deficient T cells. Hence, our results indicate that modulation of ceramide levels, by interfering with the Asm or Ac activity has an effect on T cell differentiation and function and might therefore represent a novel therapeutic strategy for the treatment of T cell-dependent diseases such as tumorigenesis.

immunology↗

The acid ceramidase/ceramide axis controls parasitemia in Plasmodium yoelii-infected mice by regulating erythropoiesis

Acid ceramidase (Ac) is part of the sphingolipid metabolism and responsible for the degradation of ceramide. As bioactive molecule, ceramide is involved in the regulation of many cellular processes. However, the impact of cell-intrinsic Ac activity and ceramide on the course of Plasmodium infection remains elusive. Here, we use Ac-deficient mice with ubiquitously increased ceramide levels to elucidate the role of endogenous Ac activity in a murine malaria model. Interestingly, ablation of Ac leads to alleviated parasitemia associated with decreased T cell responses in the early phase of Plasmodium yoelii (P. yoelii) infection. Mechanistically, we identified dysregulated erythropoiesis with reduced numbers of reticulocytes, the preferred host cells of P. yoelii, in Ac-deficient mice. Furthermore, we demonstrate that administration of the Ac inhibitor carmofur to wild type mice has similar effects on P. yoelii infection and erythropoiesis. Notably, therapeutic carmofur treatment after manifestation of P. yoelii infection is efficient in reducing parasitemia. Hence, our results provide evidence for the involvement of Ac and ceramide in controlling P. yoelii infection by regulating red blood cell development.

microbiology↗

Acid sphingomyelinase deactivation post-ischemia/ reperfusion promotes cerebral angiogenesis and brain remodeling via small extracellular vesicles

Functional inhibitors of acid sphingomyelinase are clinically used as anti-depressants since [~]60 years. Here, we show that acid sphingomyelinase inhibition by the antidepressants amitriptyline, fluoxetine and desipramine protects from ischemia/reperfusion and elicits a profound brain remodeling response with increased angiogenesis, improved blood-brain barrier integrity, reduced brain leukocyte infiltration and increased neuronal survival. Angiogenesis is promoted by small extracellular vesicles with bona fide characteristics of exosomes, which are released from endothelial cells and which constitute an elegant target for the amplification of stroke recovery.

neuroscience↗

Shared heritability and functional enrichment across six solid cancers

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg=0.57, p=4.6x10-8), breast and ovarian cancer (rg=0.24, p=7x10-5), breast and lung cancer (rg=0.18, p=1.5x10-6) and breast and colorectal cancer (rg=0.15, p=1.1x10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

genomics↗