Biology subjects

Burmeister, M.

Publications and source records attributed to Burmeister, M..

8 recordsLinked to original sources

bioRxiv2025

Modeling Oxidative Stress-Linked Telogen Effluvium: A Monte Carlo Simulation Using Published Trichoscopy Norms and Cannabis Exposure Distributions

Cannabis exposure has increased with greater legalization, yet little is known about cannabis and its possibly relevant impacts on hair biology. The literature suggests that inhalative byproducts and endocannabinoid signaling can affect processes that may affect anagen stability, and, as hair follicles are metabolically active organs susceptible to oxidative and inflammatory damage, they could be affected as well. Therefore, this study intends to understand whether population-based cannabis exposure behaviors statistically correlate with symptoms characteristic of diffuse shedding when applied to a virtual population. A synthetic dataset of 140 individuals was generated using a Monte Carlo framework parameterized by published trichoscopy-based follicular density values, national cannabis use statistics, and psychometric properties reported for hair loss and dermatologic quality of life measures. Cannabis exposure, density, and SAHL scores were sampled from probability distributions specified by published means, standard deviations, and plausible covariance structures rather than from individual-level patient data. The simulated dataset was then subjected to Pearson correlations, linear regression, and ANCOVA with demographic covariates. Higher cannabis exposure was associated with increased SAHL severity (r = 0.31, p < 0.01) and reduced follicular density (r = -0.38, p < 0.05). Both associations remained statistically significant after covariate adjustment, and female-assigned profiles showed larger effect magnitudes. These associations reflect patterns in the modeled population structure rather than clinical observations, but they parallel mechanistic pathways described in oxidative stress and hair cycle research. As a simulation study, these results cannot establish causality and are limited by underlying assumptions in the source distributions. However, they demonstrate that publicly available data and computational modeling can be combined to generate preliminary hypotheses about how cannabis exposure patterns may align with characteristics observed in telogen effluvium. Future work should integrate empirical biomarkers, longitudinal imaging, and clinical datasets to determine whether these modeled patterns correspond to measurable biological effects.

bioinformatics↗

bioRxiv2022

Multi-ancestry GWAS of major depression aids locus discovery, fine-mapping, gene prioritisation, and causal inference

Most genome-wide association studies (GWAS) of major depression (MD) have been conducted in samples of European ancestry. Here we report a multi-ancestry GWAS of MD, adding data from 21 studies with 88,316 MD cases and 902,757 controls to previously reported data from individuals of European ancestry. This includes samples of African (36% of effective sample size), East Asian (26%) and South Asian (6%) ancestry and Hispanic/Latinx participants (32%). The multi-ancestry GWAS identified 190 significantly associated loci, 53 of them novel. For previously reported loci from GWAS in European ancestry the power-adjusted transferability ratio was 0.6 in the Hispanic/Latinx group and 0.3 in each of the other groups. Fine-mapping benefited from additional sample diversity: the number of credible sets with [≤]5 variants increased from 3 to 12. A transcriptome-wide association study identified 354 significantly associated genes, 205 of them novel. Mendelian Randomisation showed a bidirectional relationship with BMI exclusively in samples of European ancestry. This first multi-ancestry GWAS of MD demonstrates the importance of large diverse samples for the identification of target genes and putative mechanisms.

genetics↗

bioRxiv2021

FIBCD1 is a Conserved Receptor for Chondroitin Sulphate Proteoglycans of the Brain Extracellular Matrix and a Candidate Gene for a Complex Neurodevelopmental Disorder

The brain extracellular matrix (ECM) is enriched in chondroitin sulphate proteoglycans (CSPGs) with variable sulphate modifications that intimately participate in brain maturation and function. Very little is known about how the changing biophysical properties of the CSPGs are signalled to neurons. Here, we report Fibrinogen C Domain Containing 1 (FIBCD1), a known chitin-binding receptor of the innate immune system, to be highly expressed in the hippocampus and to specifically bind CSPGs containing 4-O sulphate modification (CS-4S). Cultured Fibcd1 knockout (KO) neurons lack phenotypic and transcriptomic responses to CSPG stimulation. Further, Fibcd1 KO mice exhibit accumulation of CS-4S, likely resulting in deficits of hippocampal-dependent learning tasks and abrogated synaptic remodelling, a phenotype rescued by enzymatic digestion of CSPGs. Likewise, neuronal specific knockdown of a Fibcd1 orthologue in flies results in neuronal morphological changes at the neuromuscular junctions and behavioural defects. Finally, we report two undiagnosed patients with a complex neurodevelopmental disorder with deleterious variants in FIBCD1, strongly implicating FIBCD1 in the development of the disease. Taken together, our results demonstrate that FIBCD1 is a novel, evolutionarily conserved component of ECM sulphation recognition that is crucial for neuronal development and function.

neuroscience↗

bioRxiv2021

Genomic heterogeneity affects the response to Daylight Saving Time

Circadian rhythms drive the timing of many physiological events in the 24-hour day. When individuals undergo an abrupt external shift (e.g., change in work schedule or travel across multiple time zones), circadian rhythms become misaligned with the new time and may take several days to adjust. Chronic circadian misalignment, e.g., as a result of shift work, has been shown to lead to several physical and mental health problems. Despite the serious health implications of circadian misalignment, relatively little is known about how genetic variation affects an individuals ability to shift to abrupt external changes. Accordingly, we use the one-hour advance from the onset of daylight saving time (DST) as a natural experiment to comprehensively study how individual heterogeneity affects the shift of sleep-wake rhythms in response to an abrupt external time change. We find that individuals genetically predisposed to a morning tendency adjust to the advance in a few days, while genetically predisposed evening-inclined individuals have not shifted. Observing differential effects by genetic disposition after a one-hour advance underscores the importance of heterogeneity in adaptation to external schedule shifts, and these genetic differences may affect how individuals adjust to jet lag or shift work as well.

genomics↗

bioRxiv2020

Fast 3D imaging of giant unilamellar vesicles using reflected light-sheet microscopy with single molecule sensitivity

Observation of highly dynamic processes inside living cells at the single molecule level is key for a quantitative understanding of biological systems. However, imaging of single molecules in living cells usually is limited by the spatial and temporal resolution, photobleaching and the signal-to-background ratio. To overcome these limitations, light-sheet microscopes with thin selective plane illumination have recently been developed. For example, a reflected light-sheet design combines the illumination by a thin light-sheet with a high numerical aperture objective for single-molecule detection. Here, we developed a reflected light-sheet microscope with active optics for fast, high contrast, two-color acquisition of z-stacks. We demonstrate fast volume scanning by imaging a two-color giant unilamellar vesicle (GUV) hemisphere. In addition, the high signal-to-noise ratio enabled the imaging and tracking of single lipids in the cap of a GUV. In the long term, the enhanced reflected scanning light sheet microscope enables fast 3D scanning of artificial membrane systems and cells with single-molecule sensitivity and thereby will provide quantitative and molecular insight into the operation of cells.

biophysics↗

bioRxiv2019

Three-fluorophore FRET-FLIM enables the study of trimeric protein interactions and complex formation with nanoscale resolution in living plant cells

Protein-protein interaction studies provide valuable insights into cellular signaling. The well-studied brassinosteroid (BR) signaling is initiated by the hormone-binding receptor Brassinosteroid Insensitive 1 (BRI1) and its co-receptor BRI1 Associated Kinase 1 (BAK1). BRI1 and BAK1 were shown to interact independently with the Receptor-Like Protein 44 (RLP44), which is implicated in BRI1/BAK1-dependent cell wall integrity perception. To demonstrate the proposed complex formation of BRI1, BAK1 and RLP44, we established three-fluorophore intensity-based spectral Forster resonance energy transfer (FRET) and FRET-fluorescence lifetime imaging microscopy (FLIM) for living plant cells. Our evidence indicates that RLP44, BRI1 and BAK1 form a ternary complex in a distinct plasma membrane nanodomain. In contrast, although the immune receptor Flagellin Sensing 2 (FLS2) also forms a heteromer with BAK1, the FLS2/BAK1 complexes are localized in other nanodomains. In general, our three-fluorophore FRET approaches provide a feasible basis for studying the interaction and sub-compartmentalization of proteins in great detail.

plant biology↗

bioRxiv2019

Heterozygous variants in the mechanosensitive ion channel TMEM63A result in transient hypomyelination during infancy

Mechanically activated (MA) ion channels convert physical forces into electrical signals. Despite the importance of this function, the involvement of mechanosensitive ion channels in human disease is poorly understood. Here we report heterozygous missense mutations in the gene encoding the MA ion channel TMEM63A that result in an infantile disorder resembling a hypomyelinating leukodystrophy. Four unrelated individuals presented with congenital nystagmus, motor delay, and deficient myelination on serial scans in infancy, prompting the diagnosis of Pelizaeus-Merzbacher (like) disease. Genomic sequencing revealed all four individuals carry heterozygous missense variants in the pore-forming domain of TMEM63A. These variants were confirmed to have arisen de novo in three of the four individuals. While the physiological role of TMEM63A is incompletely understood, it is highly expressed in oligodendrocytes and it has recently been shown to be a mechanically activated (MA) ion channel. Using patch clamp electrophysiology, we demonstrated that each of the modelled variants results in strongly attenuated stretch-activated currents when expressed in naive cells. Unexpectedly, the clinical evolution of all four individuals has been surprisingly favorable, with substantial improvements in neurological signs and developmental progression. In the three individuals with follow-up scans after four years of age, the myelin deficit had almost completely resolved. Our results suggest a previously unappreciated role for mechanosensitive ion channels in myelin development.

genomics↗

bioRxiv2019

Genomic Prediction of Depression Risk and Resilience Under Stress

Advancing our ability to predict who is likely to develop depression in response to stress holds great potential in reducing the burden of the disorder. Large-scale genome-wide association studies (GWAS) of depression have, for the first time, provided a basis for meaningful depression polygenic risk score construction (MDD-PRS). The Intern Health Study utilizes the predictable and large increase in depression with physician training stress to identify predictors of depression. Applying the MDD-PRS derived from the PGC2/23andMe GWAS to 5,227 training physicians, we found that MDD-PRS predicted depression under training stress (beta=0.082, p=2.1x10-12) and that MDD-PRS was significantly more strongly associated with depression under stress than at baseline (MDD-PRS x stress interaction - beta=0.029, p=0.02). While known risk factors accounted for 85.6% of the association between MDD-PRS and depression at baseline, they only accounted for 55.4% of the association between MDD-PRS and depression under stress, suggesting that MDD-PRS can add unique predictive power to existing models of depression under stress. Further, we found that low MDD-PRS may have particular utility in identifying individuals with high resilience. Together, these findings suggest that polygenic risk score holds promise in furthering our ability to predict vulnerability and resilience under stress.

genomics↗