7 research outputs found
Altered expression of β-galactosidase-1-like protein 3 (Glb1l3) in the retinal pigment epithelium (RPE)-specific 65-kDa protein knock-out mouse model of Leber’s congenital amaurosis
Purpose: In this study, we investigated the expression of the gene encoding beta-galactosidase (Glb)-1-like protein 3 (Glb1l3), a member of the glycosyl hydrolase 35 family, during retinal degeneration in the retinal pigment epithelium (RPE)-specific 65-kDa protein knockout (Rpe65(-/-)) mouse model of Leber congenital amaurosis (LCA). Additionally, we assessed the expression of the other members of this protein family, including beta-galactosidase-1 (Glb1), beta-galactosidase-1-like (Glb1l), and beta-galactosidase-1-like protein 2 (Glb1l2).Methods: The structural features of Glb1l3 were assessed using bioinformatic tools. mRNA expression of Glb-related genes was investigated by oligonucleotide microarray, real-time PCR, and reverse transcription (RT) -PCR. The localized expression of Glb1l3 was assessed by combined in situ hybridization and immunohistochemistry.Results: Glb1l3 was the only Glb-related member strongly downregulated in Rpe65(-/-) retinas before the onset and during progression of the disease. Glb1l3 mRNA was only expressed in the retinal layers and the RPE/choroid. The other Glb-related genes were ubiquitously expressed in different ocular tissues, including the cornea and lens. In the healthy retina, expression of Glb1l3 was strongly induced during postnatal retinal development; age-related increased expression persisted during adulthood and aging.Conclusions: These data highlight early-onset downregulation of Glb1l3 in Rpe65-related disease. They further indicate that impaired expression of Glb1l3 is mostly due to the absence of the chromophore 11-cis retinal, suggesting that Rpe65 deficiency may have many metabolic consequences in the underlying neuroretina
Altered BDNF methylation in patients with chronic musculoskeletal pain and high biopsychosocial complexity
Purpose: The INTERMED instrument, which was developed to measure patient’s biopsychosocial (BPS) complexity, represents a powerful diagnostic and therapeutic tool. Epigenetic changes are the interface between signals from the environment and genetic modifications, affecting gene expression, in particular, by DNA methylation of CpG dinucleotides in promotor regions of the corresponding genes. The brain-derived neurotrophic factor (BDNF) gene plays a crucial role in the central sensitization (CS) of pain. In this study, we hypothesized that chronic pain modifies the methylation levels of the BDNF gene in a manner that is interconnected with the BPS status. Patients and Methods: Fifty-eight chronic musculoskeletal pain patients (CMSP) were enrolled in the study. DNA was extracted from blood samples, the methylation levels of 13 CpG sites in the BDNF promoter were measured by pyrosequencing, and association studies with various patient parameters and the INTERMED scores were performed. Results: Interestingly, a negative correlation (− 0.40) was found between the total INTERMED scores and the average CpG methylation values of the BDNF gene, but no correlation was observed with the severity of pain, degree of anxiety, depression, or kinesiophobia and catastrophism. Moreover, the association was independent of age, sex and level of comorbidities. Conclusion: This result shows that CMSP, in association with its biopsychosocial context, epigenetically decreases the degree of methylation of the BDNF promoter and should therefore increase the level of BDNF transcription. It also suggests a role of the INTERMED tool to detect a relationship between the BPS complexity and the epigenetic control of a target gene. The possible upregulation of BDNF expression might be, at least in part, the signal for chronic pain-induced central sensitization (CS). This could partly explain why patients with a higher level of complexity feel more pain than those with lower complexity
The effect of the menstrual cycle on the circulating microRNA pool in human plasma: a pilot study
STUDY QUESTION: : Do ovarian hormone changes influence the levels of cell-free or circulating microRNA (cf-miRNA) across the
menstrual cycle?
SUMMARY ANSWER: This exploratory study suggests that fluctuations in hormonal levels throughout the menstrual cycle may alter
cf-miRNAs levels.
WHAT IS KNOWN ALREADY: cf-miRNA levels vary with numerous pathological and physiological conditions in both males and
females and are regulated by exogenous and endogenous factors, including hormones.
STUDY DESIGN, SIZE, DURATION: A prospective, monocentric study was conducted between March and November 2021. Since
this was a pilot study, the sample size was based on feasibility as well as previous similar human studies conducted in different tissues.
A total of 20 participants were recruited for the study.
PARTICIPANTS/MATERIALS, SETTING, METHODS: We conducted an exploratory study where blood samples were collected
from 16 eumenorrheic females in the early follicular phase, the ovulation phase and the mid-luteal phase of the menstrual cycle. The levels
of oestrogen, progesterone, LH and FSH were measured in serum by electrochemiluminescence. The levels of 174 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.
MAIN RESULTS AND THE ROLE OF CHANCE: This exploratory study suggests that cf-miRNAs may play an active role in the regulation of the female cycle by mediating the expression of genes during fluctuating hormonal changes. Linear mixed-models, adjusted for the
relevant variables, showed 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 female reproductive tissues and are primarily involved
in cell proliferation and apoptosis.
LARGE SCALE DATA: All relevant data are available from the Mendeley database: LEGER, Bertrand (2022), ‘MiRNA and menstrual
cycle’, Mendeley Data, V1, doi: 10.17632/2br3zp79m3.1.
LIMITATIONS, REASONS FOR CAUTION: Our study was conducted on a small participant cohort. However, it was tightly
controlled for endogenous and exogenous confounders, which is critical to ensure robust and reproducible cf-miRNA research. Both
adjusted and non-adjusted P-values are presented throughout the article.
WIDER IMPLICATIONS OF THE FINDINGS: Measures of ovarian hormones should be rigorously included in future studies
assessing cf-miRNA levels in females and used as time-varying confounders. Our 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
Schulreformen als Transformationsdruck für den Habitus? : Untersuchungen zum Gymnasiallehrerhabitus mit Blick auf Selektion und Inklusion
BackgroundThe quality of life for millions of people worldwide is affected by chronic pain. In addition to the effect of chronic pain on well-being, chronic pain has also been associated with poor health conditions and increased mortality. Due to its multifactorial origin, the classification of pain types remains challenging. MicroRNAs (miRNA) are small molecules that regulate gene expression. They are released into the bloodstream in a stable manner under normal and pathological conditions and have been described as potential biomarkers. In the present study, we aimed to investigate whether pain may induce an aberrant, specific dysregulation of miRNA expression, depending on the origin of the pain.Methods and findingsTo do so, we measured the expression changes of 184 circulating miRNAs (c-miRNAs) in the plasma samples of patients with different origins of chronic musculoskeletal pain. After statistical analyses, we identified seven c-miRNA candidates that were differentially expressed depending on the nociceptive or neuropathic origin of the pain. We then developed a two c-miRNA signature (hsa-miR-320a and hsa-miR-98-5p) that was able to correctly classify the pain type of 70% of the patients from the validation set.ConclusionsIn conclusion, circulating miRNAs are promising biomarkers to identify and characterize the chronic pain type and to further improve its clinical management