📰 "Tetrahydrocannabinol exposure to postejaculatory sperm compromises sperm structure, function, the epigenome, and early embryo development"
https://www.biorxiv.org/content/10.64898/2026.03.23.713385v1?rss=1 #Kinematics #Cell
Tetrahydrocannabinol exposure to postejaculatory sperm compromises sperm structure, function, the epigenome, and early embryo development

Cannabis (marijuana) is the most widely used recreational drug in the USA accounting for about 62 million users in 2024. Among cannabis users, 26% are of prime reproductive age (18-25 years). Delta-9 tetrahydrocannabinol (THC) is the principal psychoactive component of cannabis and has been detected in human seminal fluids. Although abundant evidence indicates adverse effects of THC exposure on spermatogenesis in different species, acute effects of THC on postejaculatory sperm including fertilization potential and subsequent carryover effects on embryo development are largely unknown. The present study was designed to provide missing information on structural and mechanistic effects of THC exposure to postejaculatory sperm function by evaluating sperm indices often overlooked or masked during clinical evaluation. A bovine embryo continuum model was employed to determine effects of THC on sperm structure, kinematics, bioenergetics, and binding mechanisms. Effects of THC on the sperm genomic and epigenomic landscape were determined, complemented by paternal carry over effects on embryo development as a human translational model to elucidate paternal effects on future development, and to mirror sperm exposure during transport within the female reproductive tract. Cryopreserved bovine sperm from three bulls were independently exposed to physiologically relevant concentrations of THC (0 and 32nM, n = 2 individual replicates/bull) for 24 h under non-capacitating conditions at 25C followed by quantification of sperm kinematics at 37C. Samples of THC-exposed sperm and vehicle-control (0.1% DMSO) were collected in replicate following immediate addition of THC (0 h) and again at 24 h. DNA damage, acrosome integrity, bioenergetics, changes to DNA methylation and embryo development were quantified. Data were analyzed by logistic regression with a generalized linear mixed effect model. Computer-assisted sperm assessment revealed a reduction in progressive motility of THC-exposed sperm after 24 h while other parameters were not affected. Acrosome integrity as determined by flowcytometric analysis with FITC-PSA was severely compromised in THC-exposed sperm (P < 0.05), despite no detectable difference in capacitation status using merocyanine staining. Similarly, DNA integrity as determined by TUNEL assay was significantly impaired after 24 h of THC exposure (P < 0.05). Mechanistic effects of THC were explored through characterization of the transmembrane G-protein coupled cannabinoid 1 receptor (CB1). CB1 is expressed in the post-acrosomal region and its abundance decreased as compared to unexposed sperm. Alterations to the methylation landscape of sperm were then determined after 24 h of THC exposure through whole-genome Enzymatic Methyl Sequencing. PCA analysis indicated that sperm from different males formed distinct clusters, implying individual differences among bulls, while the effects of THC exposure produced tighter clusters. Paternal carryover effects on embryos derived by in vitro fertilization from THC exposed sperm had reduced 2-cell cleavage, 8-16 cell morula development, and reduced blastocyst development compared to unexposed sperm (46% vs. 33%). In conclusion, post-ejaculatory mammalian sperm exposure to THC compromises acrosome integrity, induces DNA damage, changes the sperm methylome, and reduces developmental potential. Collectively, these data implicate new considerations for recreational and clinical use of cannabis that impact cellular and molecular mechanisms important for sperm function with detrimental consequences for gamete interaction and embryo development. ### Competing Interest Statement The authors have declared no competing interest.

bioRxiv
That's exactly what they told in #kinematics
#calculus #highschool
#walking its actually 5.5 km I began to record after some time of walking

In the past years our team at #HUBerlin and #ChariteBerlin was able to recruit 451 adults (231 females) aged 18-64 years, with and without low-back pain.

Besides #kinematics, we assessed muscle strength, activation (#EMG) and morphology (#MRI) of the trunk.

Today we finally submitted our second manuscript and it is my pleasure to publicly share this unique dataset and the #rstats code used for analyses (https://doi.org/10.5281/zenodo.17950007).

We sincerely hope that our commitment to #OpenScience and #FairData allows researchers worldwide to use this data and foster global research initiatives, collaborations and comparative studies on low-back pain, facilitating cross-cohort validation and a broader applicability of findings.

Reduced trunk extensor strength is not associated with morphological changes in trunk extensor muscles in participants with low-back pain

This is the data set and the code used for our publication.

Zenodo

Thank you everyone for the warm welcome.
I am looking foward to exchange and get inspired by your work.

Since some of you wanted to know more about my research:
feel free to have a look at my last publication on movement coordination in people with low-back pain (https://doi.org/10.3389/fspor.2025.1524489). We measured #kinematics in 306 adults and made the whole data set and code publicly available (https://doi.org/10.5281/zenodo.14050785).

#OpenScience, #FAIRData, #rstats, #movementscience, #biomechanics

Frontiers | Sex-specific trunk movement coordination in participants with low-back pain and asymptomatic controls

BackgroundTrunk posture and lumbo-pelvic coordination can influence spinal loading and are commonly used as clinical measures in the diagnosis and management...

Frontiers
In #kinematics, the #speed (commonly referred to as v) of an object is the magnitude of the change of its position over time or the magnitude of the change of its position per unit of time; it is thus a non-negative scalar quantity.[1] The average speed of an
10m
Camera-Equipped Nurse Shark Captures Rare Footage of Great White

Likely the first time a shark has ever captured images of another shark.

PetaPixel
This suggests beak adaptations for strength don’t necessarily reduce efficiency on easier foods. 🐤 Read the full study by PhD student Tim Andries here: https://doi.org/10.1242/jeb.249681
#canaries #kinematics #morphology @J_Exp_Biol (3/3)
Overarm Throwing - Effect of Specific Strength Training on Velocity [html/pdf 11pp] #cricket #sports #throwing #kinematics https://sportsmedicine-open.springeropen.com/articles/10.1186/s40798-024-00785-7
The Effect of Specific Strength Training on Throwing Velocity in Overarm Throwing: A Systematic Review - Sports Medicine - Open

Background Throwing velocity is an important research topic in sports science, and it is an essential performance variable for athletes in overarm-throwing sports like baseball, team handball, water polo, softball, and cricket. The aim of the present review was to investigate the effect of specific strength training on throwing velocity for overarm throws. Methods The literature was analysed using the Preferred Reporting Items for Systematic reviews and Meta-analyses, searching in SPORTDiscus and MEDLINE. Seventeen studies were included in this review, and the training studies were divided into four categories: (a) overweight and underweight balls, (b) forearm loading, (c) pulley device training, and (d) strength training with a resistance band. Results All strength training studies with resistance band and the forearm loading categories increased the throwing velocity, varying from 3.7 to 26%. However, only half of these studies found that training was associated with a significantly higher increase versus the control group. Findings were inconsistent in other categories. Conclusion Based on the findings of the present review, no clear conclusion can be made on which of the specific strength training methods is best for increasing throwing velocity. However, some recommendations can be offered. Firstly, the throwing training period should be long enough (≥ 6 weeks) with a high enough workload. Throwing training with a resistance band increases throwing velocity significantly for junior and less experienced overarm-throwing athletes. Furthermore, throwing with underweighted balls of similar size will ensure a positive effect on throwing velocity. Also, throwing training with combined over- and underweighted balls can be used if the overweighted balls are carefully selected to ensure there is no negative impact on throwing kinematics and injuries. For the other categories, the results were conflicting. Furthermore, due to the low number of studies in the pulley device and forearm loading categories, more studies should be conducted to investigate their effects on throwing velocity.

SpringerOpen