bioRxiv Science⌕ Search

Biology subjects

Leger, B.

Publications and source records attributed to Leger, B..

2 recordsLinked to original sources

The effect of the menstrual cycle on the circulating microRNA pool in human plasma: a pilot study

Study questionDo ovarian hormones levels influence cf-miRNA expression across the menstrual cycle? Summary answerMeasures of ovarian hormones should be rigorously included in future studies assessing cf-miRNA expression in females and used as time-varying confounders. This exploratory study suggests that cf-miRNAs may play an active role in the regulation of the female cycle in various target tissues. What is known alreadyCell-free or "circulating" miRNAs (cf-miRNAs) are secreted from tissues into most physiological fluids, including plasma, where they play a role in cross-tissue communication. Endogenous and exogenous factors, including sex hormones, regulate cellular miRNA expression levels. Plasma cf-miRNA levels vary with numerous pathological and physiological conditions, including in females. Participants/materials, setting, methodsWe conducted an exploratory study where blood samples were collected from sixteen eumenorrheic females in the early follicular phase, the ovulation phase and the mid-luteal phase of the menstrual cycle. Ovarian hormones oestrogen, progesterone, luteinizing hormone (LH) and follicle-stimulating hormone (FSH) were measured in serum by electrochemiluminescence. The expression levels of 179 plasma-enriched miRNAs were profiled using a PCR-based panel, including stringent internal and external controls to account for the potential differences in RNA extraction and reverse-transcription stemming from low-RNA input samples. Study design, size, durationThis was a prospective monocentric study conducted between March and November 2021. Main results and the role of chanceThis exploratory study suggests that cf-miRNAs may play an active role in the regulation of the female cycle in various target tissues. Linear mixed-models adjusted for the relevant variables showed numerous associations between phases of the menstrual cycle, ovarian hormones and plasma cf-miRNA levels. Validated gene targets of the cf-miRNAs varying with the menstrual cycle were enriched within the female reproductive tissues and primarily involved in cell proliferation and apoptosis. Wider implications of the findingsMeasures of ovarian hormones should be rigorously included in future studies assessing cf-miRNA expression in females and used as time-varying confounders. Limitations, reasons for cautionOur study was conducted on a relatively small cohort of patients. However, it was tightly controlled for endogenous and exogenous confounders, which is critical to ensure robust and reproducible cf-miRNA research. Wider implications of the findingsOur results reinforce the importance of accounting for female-specific biological processes in physiology research by implementing practical or statistical mitigation strategies during data collection and analysis. Study funding/competing interest(s)This study was supported by the clinique romande de readaptation, Sion, Switzerland. Prof. Severine Lamon, is supported by an Australian Research Council Future Fellowship (FT10100278). The authors declare no competing interest Trial registration numberN/A.

physiology↗

Differential impact of brain network efficiency on post-stroke motor and attentional deficits

BackgroundMost studies on stroke have been designed to examine one deficit in isolation, yet survivors often have multiple deficits in different domains. While the mechanisms underlying multiple-domain deficits remain poorly understood, network-theoretical methods may open new avenues of understanding. Methods50 subacute stroke patients (7{+/-}3days post-stroke) underwent diffusion-weighted magnetic resonance imaging and a battery of clinical tests of motor and cognitive functions. We defined indices of impairment in strength, dexterity, and attention. We also computed imaging-based probabilistic tractography and whole brain connectomes. Overlaying individual lesion masks onto the tractograms enabled us to split the connectomes into their affected and unaffected parts and associate them to impairment. ResultsTo efficiently integrate inputs from different sources, brain networks rely on a "rich-club" of a few hub nodes. Lesions harm efficiency, particularly when they target the rich-club. We computed efficiency of the unaffected connectome, and found it was more strongly correlated to impairment in strength, dexterity and attention than efficiency of the total connectome. The magnitude of the correlation between efficiency and impairment followed the order attention > dexterity {approx} strength. Network weights associated with the rich-club were more strongly correlated to efficiency than non-rich-club weights. ConclusionsAttentional impairment is more sensitive to disruption of coordinated network activity between brain regions than motor impairment, which is sensitive to disruption of localized network activity. Providing more accurate reflections of actually functioning parts of the network enables the incorporation of information about the impact of brain lesions on connectomics contributing to a better understanding of underlying stroke mechanisms.

neuroscience↗