Biology subjects

Knickmeyer, R. C.

Publications and source records attributed to Knickmeyer, R. C..

3 recordsLinked to original sources

bioRxiv2025

Myelin Decompaction in Mice Given Anesthetics during Magnetic Resonance Imaging

AbstractThe objective of this secondary analysis of a prior investigation was to determine if prolonged exposure to the anesthetics isoflurane and dexmedetomidine during MRI was associated with a higher proportion of axons with myelin decompaction. 16 mice underwent an MRI protocol in which they had prolonged exposure to isoflurane and dexmedetomidine, while 10 mice did not undergo this protocol. All mice were sacrificed and electron microscope images were taken of various brain regions including the right prefrontal cortex (anterior cingulate and prelimbic area), the nucleus accumbens, the amygdala, and the ventral hippocampus.. Proportion of decompacted axons was calculated for each mouse, and an inter-rater reliability score of 80% was achieved. Welchs t-tests were used to test the hypothesis that mice undergoing MRI with prolonged anesthesia had greater levels of myelin decompaction than mice that did not experience prolonged anesthesia. Mice with prolonged anesthetic exposure during MRI had significantly higher proportions of decompacted axons than mice that did not experience prolonged anesthesia (p-value of 0.00003642). Prolonged exposure to anesthetics, particularly isoflurane, may be associated with myelin decompaction. These findings, if replicated, have potential to impact future anesthesia use in clinical work and scientific research. Significance StatementProlonged exposure to the anesthetics isoflurane and dexmedetomidine during brain imaging may lead to myelin decompaction in adult rodents. Myelin is a protective sheath around nerve fibers that ensures efficient transmission of electrical signals in the nervous system. Decompaction of myelin can disrupt these signals, potentially leading to neurological issues. This discovery is significant because it highlights potential risks associated with these anesthetics, which are commonly used in fMRI studies of rodents and in veterinary and medical procedures.

neuroscience↗

bioRxiv2023

Effect of Human Infant Gut Microbiota on Mouse Behavior, Dendritic Complexity, and Myelination

The mammalian gut microbiome influences numerous developmental processes. In human infants it has been linked with cognition, social skills, hormonal responses to stress, and brain connectivity. Yet, these associations are not necessarily causal. The present study tested whether two microbial stool communities, common in human infants, affected behavior, myelination, dendritic morphology, and spine density when used to colonize mouse models. Humanized animals were more like specific-pathogen free mice than germ-free mice for most phenotypes, although in males, both humanized groups were less social. Both humanized groups had thinner myelin sheaths in the hippocampus, than did germ-free animals. Humanized animals were similar to each other except for dendritic morphology and spine density where one group had greater dendritic length in the prefrontal cortex, greater dendritic volume in the nucleus accumbens, and greater spine density in both regions, compared to the other. Results add to a body of literature suggesting the gut microbiome impacts brain development. TeaserFecal transplants from human infants with highly abundant Bifidobacterium, an important inhabitant of the intestinal tract of breastfed newborns, may promote brain connectivity in mice.

neuroscience↗

bioRxiv2022

TwinEQTL: Ultra Fast and Powerful Association Analysis for eQTL and GWAS in Twin Studies

We develop a computationally efficient alternative, TwinEQTL, to a linear mixed-effects model (LMM) for twin genome-wide association study (GWAS) data. Instead of analyzing all twin samples together with LMM, TwinEQTL first splits twin samples into two independent groups on which multiple linear regression analysis can be validly performed separately, followed by an appropriate meta-analysis-like approach to combine the two non-independent test results. Through mathematical derivations, we prove the validity of TwinEQTL algorithm and show that the correlation between two dependent test statistics at each single-nucleotide polymorphism (SNP) are independent of its minor allele frequency (MAF). Thus the correlation is constant across all SNPs. Through simulations, we show empirically that TwinEQTL has well controlled type I error with negligible power loss compared to the gold-standard linear mixed effects models. To accommodate eQTL analysis with twin subjects, we further implement TwinEQTL into a R package with much improved computational efficiency. Our approaches provide a significant leap in terms of computing speed for GWAS and eQTL analysis with twin samples.

genetics↗