Scientific Reports

Capturing naturalistic behavioral dynamics is essential for understanding social interaction in ecologically valid settings. Existing investigations of naturalistic social interaction rely on time-aggregated analysis methods better suited for task-based experiments, which lose the complex, moment-to-moment dynamics exhibited in naturalistic settings. The emerging field of topological data analysis (TDA) provides new tools to characterize fine-grained dynamics in time-series data that cannot be captured by time-averaged methods. The present work utilizes Temporal Mapper, a recently developed TDA specifically tailored to analyzing dynamical systems. Temporal Mapper characterizes complex temporal dynamics as transition networks, where nodes are stable states and edges are transitions between states. Originally designed for human neural time series analysis, here we demonstrate the utility of Temporal Mapper to capture rich animal postural dynamics during naturalistic social interaction. We utilized an existing dataset with 12 video recording sessions of two domestic ferrets (Mustela putorius furo) during naturalistic interaction and tracked the postures of animals during social interaction. Ferrets were chosen due to their strong social-cognitive skills and rich postural dynamics for investigating social behavior via posture estimation. Temporal Mapper was then used to represent the postural dynamics as transition networks for each recording session. Here, we found that posture states are significantly smaller and more widespread during active social interaction compared to non-social activities. Additionally, the number of sequential postural states before transitioning to new behaviors is more consistent during active social interaction than non-social activities. Together, our findings suggest that social activity has a broad range of unstable postural states arranged in consistent sequences. Our method, Temporal Mapper, allows for network structure analysis of complex naturalistic data, applicable for characterizing rich dynamics in different species, scales, and paradigms.

Developmental experience can produce lasting changes in neural function and behavior. Zebra finch offers a powerful model for identifying the molecular mechanisms underlying this process. Both juvenile male and female zebra finches perform developmental sensory song learning that influences their adult behaviors: in males, the structure of the song they sing and in female, the song preferences they exhibit (females cannot sing). The auditory forebrain, a region distinct from but connected to nodes of the male singing circuitry, is required for male sensory song learning. Song experience induces epigenetic, genomic, molecular, cellular and systems-level alterations in the auditory forebrain of males. Much less evidence is available for females. Although epigenetic and molecular data implicate the auditory forebrain in female sensory song learning, there has been no causal test of its role. Further, molecular evidence indicates the potential for distinct mechanisms for male and female sensory song learning, even though they learn during a largely overlapping developmental period. We used pharmacological manipulations of the ERK and mTOR cascades in the auditory forebrain of juvenile females during controlled tutoring, and an operant assay for adult song preference, to test the causal role of the auditory forebrain and the two cascades known to be required for male sensory song learning. We demonstrate that the auditory forebrain is required for female sensory song learning, and that while ERK signaling is necessary for both sexes, that of mTOR is sex specific. Results raise implications for alternative molecular cascade cross-talks and protein synthesis processes that successfully support the developmental learning at the same age and brain region.

Central to understanding biodiversity is the systematic classification of biological taxa where concepts on integrating omics data have not yet been comprehensively executed. The data-driven approach is aiming at integrating phylogenetic data from three or more scales aiming at enriching the robustness of species delimitations while also revealing evolutionary drivers of diversification and speciation. This study investigates complex-thallose liverworts as reference and combines the analysis of DNA marker sequencing, morphometrics utilizing bioimaging measurements and chemometrics using liquid chromatography high-resolution mass-spectrometry (UPLC/ESI-QTOF-MS) with data-dependent acquisition of tandem mass-spectra (DDA-MS), with character variation evaluated with dendrograms and data mining. The comparative analysis revealed similar tree topologies albeit with diverging positions of taxa that were attributed to flavonoid-glycosides, auronidins and phenanthrenes resulting from evolutionary radiation and adaptations to stressful bioclimatic conditions, whereas unique fatty acyls in Riccia link to ecological causes of speciation. Characteristic amino acid motifs confirm the intermediary position of liverworts between algae and land plants. By functionally attributing and mapping chemometric markers to the taxonomy, the data-driven approach integrating omics into integrative taxonomy is opening opportunities for plant systematics to identify evolutionary drivers and form new hypotheses on the diversification and speciation of species.

AimsCardiac stereotactic body radiotherapy (SBRT) has emerged as a promising non-invasive treatment for refractory ventricular tachycardia (VT). Intriguingly, the clinical benefit of SBRT often occurs within days of treatment, preceding the development of radiation-induced fibrosis, suggesting alternative underlying mechanisms. This study aimed to investigate the acute and persistent effects of ionizing radiation on cardiac bioenergetics and mitochondrial function, providing mechanistic insights into early cardiac responses to radiation exposure. Methods and resultsWe employed a translational multi-model approach, including HL-1 mouse cardiomyocytes and ex vivo mouse left ventricular living myocardial slices (LMS). Bioenergetic profiling, assessment of mitochondrial respiration and calcium handling were performed following exposure to clinically relevant radiation doses (10 Gy and 25 Gy). In HL-1 cardiomyocytes, 10 Gy induced acute bioenergetic stress, characterized by reduced adenylate energy charge, cytoskeletal disorganization, and impaired mitochondrial respiration, accompanied by increased calcium oscillation amplitude. 25 Gy exposure led to NAD+ depletion but paradoxically enhanced mitochondrial respiratory capacity, suggesting an adaptive metabolic response. Murine myocardial slices demonstrated reduced creatine content while preserving energy balance as indicated by phosphocreatine/ATP ratio, indicating tissue-level metabolic resilience. These findings reveal model-specific metabolic perturbations induced by cardiac irradiation, underscoring the importance of tissue complexity in modulating the cardiac response to radiation. ConclusionThis study demonstrates that ionizing radiation at 10 Gy and 25 Gy induced dose- and model-dependent bioenergetic alterations in cardiac cells and tissues, including changes in mitochondrial respiration, nucleotide levels, and redox balance. While 10 Gy exacerbated metabolic disruption, 25 Gy triggered partial recovery, highlighting differential responses across cellular and tissue levels. These metabolic changes may contribute to the immediate effects of cardiac SBRT and potentially to long-term cardiotoxicity. Translational PerspectiveOur study provides novel mechanistic insights into the metabolic effects of cardiac irradiation, revealing acute mitochondrial stress, redox imbalance and alterations in calcium homeostasis in cardiomyocytes. These early bioenergetic changes may contribute to both the immediate anti-arrhythmic effects and the potential long-term cardiotoxicity of stereotactic body radiation therapy. Understanding these molecular responses is essential to optimize the therapeutic window of cardiac radioablation and minimize adverse effects. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/730816v1_ufig1.gif" ALT="Figure 1"> View larger version (54K): org.highwire.dtl.DTLVardef@d963d3org.highwire.dtl.DTLVardef@28e03dorg.highwire.dtl.DTLVardef@19a0165org.highwire.dtl.DTLVardef@1d1ca34_HPS_FORMAT_FIGEXP M_FIG C_FIG

The erythrocyte sedimentation rate (ESR) is one of the most common and widely used laboratory diagnostic parameters in connection with inflammatory reactions and it is probable that every reader has already experienced a determination of their ESR. A rapid ESR is a non-specific parameter that provides information about the inflammatory process. Although the origins of this methodology date back to antiquity, the description of the process as the collapse of a percolating gel formed from erythrocytes has only recently been achieved. It was not yet known whether slow ESR has any medically relevant significance. Here we show a variety of clinical pictures that exhibit a systematically slow ESR (e.g., sickle cell disease, neuroacanthocytosis syndromes, chronic mountain sickness). Using a combination of measured data and physical modelling, we show how the accuracy and significance of ESR data can be increased. With this improved ESR (supraESR), we introduce a completely new, cost-effective diagnostic parameter, based on an established and easily automated measurement method, that enables low-cost screening for neuroacanthocytosis syndrome, a group of rare neurodegenerative diseases previously detectable only through complex diagnostic tests.

In non-verbal communication, observers infer emotions from visible facial movements, yet emotional experiences are described in internal bodily terms (e.g., "my heart skipped a beat"). This contrast highlights a tension between external sensory cues and internal signals. In this context, we examined an overlooked gap in affective science: what makes an emotional portrayal believable, and do believability judgments reflect only what observers can see or also the portraying person's internal cardiac dynamics? To test this, we created 311 scenario-driven acting clips designed to avoid prototypical posed displays. For each clip, we quantified facial movement magnitude from the video, recorded ECG during preparation and enactment, and collected actors' self-reports. Online participants (N = 371) viewed these clips and provided emotion recognition responses and continuous ratings of believability, valence, or arousal. The results show that believability decreased as movement magnitude increased, with a non-linear relationship indicating a stronger penalty as motion increased. Valence further shaped this pattern, with increasing movement reducing believability more strongly for portrayals with negative valence. This effect persisted after accounting for intended emotion, perceived arousal, and emotion recognizability. Cardiac dynamics varied during performance, and actors' higher heart rate variability was associated with higher believability for positively valenced portrayals. Together, these findings show that believability is driven by visible movement cues interpreted in relation to valence, with actors' cardiac dynamics showing selective alignment with believability. These results identify core components of believable emotional expressions and provide a basis for studying such judgments in everyday social interaction.

Dominance hierarchies are a fundamental aspect of social organization, enabling animals to minimize aggression and optimize access to resources. Previous studies have highlighted the energetic and physiological demands of dominant status, as well as the behavioral flexibility required of subordinates to navigate these hierarchies. Despite advancements in automated behavior tracking, limitations persist in tracking fine-scale, real-time interactions within complex social environments. Here, we developed and validated a novel RFID-based system to continuously monitor dominance hierarchies in group-housed male mice over 10 days. This system enabled unbiased behavioral inference across light phases and revealed spatial and temporal patterns of dominance behavior undetectable through traditional live-scored methods. Automated tracking accurately identified alpha individuals and consistently inferred linear hierarchies across cohorts, with greater precision for higher-ranked individuals. Behavioral metrics, such as transition frequencies and proximity to food zones, were consistent with dominance driven activity. Hormonal analyses revealed that higher-ranked mice exhibited increased leptin and peptide YY, consistent with heightened activity and satiety signaling, while lower C-peptide levels reflected greater metabolic demands of dominance. Furthermore, dominance rank was associated with differences in light-dark activity, which were in turn related to circulating hormone profiles. This study demonstrates the utility of automated RFID tracking in capturing dominance hierarchies with temporal and spatial granularity, while revealing links between social rank, metabolic regulation, and activity patterns advancing our understanding of social behavior dynamics.

Blinks are a ubiquitous yet largely unnoticed aspect of human vision, despite causing frequent interruptions of visual input that can amount to up to 10% of waking time. By leveraging a large dataset of unconstrained gaze behavior during two natural tasks, we found a novel behavioral strategy to limit the impact of blinks: blinks were strategically coupled with head movements, which minimizes information loss due to unreliable visual input during head movements. Specifically, blink probability increased with higher head velocities and showed strong temporal modulation relative to head movement onset. Blink probability was reduced before head movement initiation and then peaked during the head movement. The strength of this coupling was tailored to the individual needs of participants, with participants with higher baseline blink showing a stronger synchronization. This indicates that blinks are a part of an individually coordinated strategy when orchestrating eye and head movements during unconstrained natural behavior.

The Arabian killifish (Aphaniops dispar) is new tractable vertebrate model system for developmental, ecological and biomedical research, including drug screening, pharmacological and infection biology studies. It is a relatively small euryhaline teleost with broad thermal tolerance and adaptability across a wide range of salinities from freshwater to hypersaline habitats. The embryos and early larvae are tolerant to environmental stressors and exhibit a delayed period of nutritional independence before hatching. This advantage offers an extended window for experimenting on the early developmental processes. Here, we describe time-course gene expression profiling of Arabian killifish embryos across nine developmental time points, from the 1-cell stage to the larval pre-hatching stage. Clustering of dynamic expression profiles for 27,564 Trinity genes revealed coordinated transcriptional modules corresponding to the maternal, blastula, maternal-to-zygotic transition (MZT)-related, gastrulation, organogenesis and larval maturation stages. The maternal stage displayed a highly distinct expression profile, dominated by maternal-specific transcripts that are rapidly degraded during the MZT. The later stages, from 48 hpf onward, revealed a shift from early regulatory mechanisms to the expression of organogenesis-related genes. The ZGA stage showed the conserved up-regulation of many zinc finger-associated genes, consistent with zebrafish and other teleost genomes. Overall, embryo development in A. dispar is slower than in zebrafish, with equivalent stages occurring several hours later. We propose a delayed onset of zygotic genome activation (ZGA) in the blastula stage, corresponding to 6 hpf in the Arabian killifish. Taken together, this study provides a transcriptomic resource for mining embryo development-related genes in the Arabian killifish.

Reported relative biological effectiveness (RBE) values for low-energy X-rays disagree, assays scoring initial DNA double-strand breaks (DSBs) returning about 1.1 and chromosome-level assays 2 to 4. Whether radiation quality varies within the diagnostic range, and how its comparison with a megavoltage reference depends on target scale, has not been quantified on a tube-potential series. A tungsten-anode tube with 1 mm Be and 2.5 mm Al filtration, with copper added in some cases, was modelled in PHITS for 40 to 200 kV. The spectra were transported into a water phantom in which absorbed dose, lineal-energy densities and cluster size distributions were scored for target diameters of 3 nm to 1 micrometre against a cobalt-60 reference; DSB yields were computed in the electron track-structure mode with the PHITS DNA damage tally. Between 40 and 120 kV the depth-dose ratio changed by a factor of 5.7 and the tube output by a factor of 42, whereas the dose-mean lineal energy varied by 2.5 % at 1 micrometre and 1.2 % at 3 nm against a reproducibility of 0.3 %. Relative to cobalt-60 it was 2.05 times larger at 1 micrometre but only 1.08 times larger at 3 nm, while DSB yields per unit dose were 5 to 7 % higher and constant across the range within the 2 % bound set by the statistics. Tube potential therefore changes the amount and distribution of dose but not its physical quality, and a stated RBE is incomplete without the target scale implied by the endpoint.

Tumstatin and Endostatin are endogenous extracellular matrix-derived inhibitors of angiogenesis generated from the non-collagenous domains of type IV and type XVIII collagens, respectively. Although both molecules suppress angiogenesis and tumor growth in vivo, previous studies demonstrated that they engage distinct endothelial integrin receptors and activate different intracellular signaling pathways. In particular, Tumstatin inhibits endothelial proliferation through suppression of the focal adhesion kinase (FAK)/phosphatidylinositol 3-kinase (PI3K)/Akt/mTOR pathway, whereas Endostatin primarily inhibits endothelial migration through 5{beta}1 integrin-dependent signaling. Here we evaluated a key mechanistic distinction between these two angiogenesis inhibitors by examining Akt phosphorylation in human umbilical vein endothelial cells (HUVEC) cultured on fibronectin. Validating previous reports, recombinant human Tumstatin reduced Akt phosphorylation whereas recombinant human Endostatin did not alter Akt activation. These findings confirm a defining feature of Tumstatin signaling and reinforce the concept that collagen-derived angiogenesis inhibitors regulate endothelial cell behavior through distinct integrin-dependent mechanisms.

Background Advancements in medical imaging have enabled non-invasive diagnosis and staging of cystic fibrosis (CF) using CT scans, revealing dilated airways, an increased number of visible airways, and airway generation splits in these patients. However, manual characterization of airways remains time-consuming and challenging due to the numerous structural changes, thereby limiting clinical feasibility. This study aims to develop an automated algorithm to characterize airways from segmented lung CT scans and apply this to a retrospective population. This approach reduces the time required to analyze images and obtain disease-staging results. Methods This framework consists of two stages. The first stage extracts and skeletonizes the airway tree from lung CTs, while the second stage measures lung features, including airway volumes, branch counts, generation splits, diameters, and cross-sectional areas. This permits comprehensive characterization for use in clinical assessment. Results The airways analysis was performed on 169 CT volumes ranging in age from 6 to 18 years of age, revealing substantial differences in detected airway branches, generation splits, and normalized airway volume between the control and CF groups. The framework also measures airway diameters and cross-sectional areas, revealing an increase in the number of small airways in cystic fibrosis patients, due to early bronchiectasis. These findings align with previous research and demonstrate the framework's ability to accurately quantify airway changes in patients with CF. Discussion The framework extracts entire airway trees, facilitating measurements of volume, branch count, diameters, and cross-sectional areas, which change with CF severity and/or treatment. However, partial lung atelectasis can limit the accuracy of airway detection in moderate-to-severe cases. Funding NIA U54 AG054345 and NIA R21 AG07857501

Objectives: Given the high injury burden in football and the documented limitations of strength-based screening, novel approaches are warranted. Adaptive Force (AF)being closer to injury-prone movements than pushing/pulling strength--offers an alternative. This study examined the association between AF-based muscle stability and musculoskeletal complaints in football players and compared AF-derived and conventional strength parameters in their discriminative capacity, complemented by a preliminary prospective follow-up. Methods: AF and maximal voluntary isometric contraction (MVIC) were measured in 23 male football players across five bilateral muscle groups (knee extensors/flexors; hip flexors/adductors/abductors). AF parameters (maximal isometric AF, maximal AF, AF-Ratio), MVIC and hamstrings-to-quadriceps (H:Q) ratio were compared between players with and without complaints assessed via questionnaire at baseline and six-month follow-up (n=13). Results: Stability deficits were strongly associated with complaints (OR=54.0, 82% side concordance). AF-Ratio discriminated clearly between players with and without complaints (d=-1.47), with hip abductors showing the strongest effect (d=-1.64). Players with subsequent complaints showed lower baseline AF-Ratio (d=-1.45) and more stability deficits (d=1.67). MVIC and H:Q ratio did not discriminate (p>0.430). Conclusion: The findings suggest that muscle stability assessment outperforms conventional strength parameters in discriminating players with and without complaints, with preliminary follow-up data providing tentative support for predictive value. The concept of functional instability syndrome (FIS) provides a mechanistic framework for non-contact injuries and musculoskeletal complaints. AF assessment offers potential for screening, including return-to-sport decisions. Further studies are needed to verify the results, investigate predictive value, and evaluate whether personalised stability-based interventions can reduce injury incidence.

Behavioral test batteries are increasingly used to characterize multiple functional domains in zebrafish, yet the potential impact of test sequence on behavioral outcomes remains poorly defined. Here, we systematically evaluated whether test order influences behavioral responses in a three-assay battery comprising the novel tank test (NTT), mirror-induced aggression (MIA), and social preference (SP) test. Adult zebrafish (Danio rerio) were exposed to all possible permutations of the three assays in a fully counterbalanced design, allowing assessment of order effects across locomotor, anxiety-like, aggression-related, and social behaviors. Test order produced modest and parameter-specific effects, primarily affecting locomotor activity in the NTT and social proximity in the SP assay. Time-course analysis revealed within-test behavioral dynamics, with limited evidence that test order modulates early adaptation or late engagement with the testing environment but does not alter overall temporal response profiles. Sex-dependent effects were assay-specific and most pronounced in the NTT, with no consistent sex differences observed in MIA or SP. To evaluate the global structure of behavioral variation, Principal Component Analysis (PCA) was performed across assays. Despite localized effects of test order, no clear multivariate separation between test sequences was observed, indicating that sequential testing does not produce distinct baseline phenotypes. Together, these findings support the robustness and reproducibility of multidomain behavioral batteries while highlighting the importance of standardized test-order reporting to improve cross-study comparability.

The neural system at the periphery is a frontline for embodied cognition, yet an acute, mild perturbation to dissect functional causality is hard to achieve. Peripheral neural processes and the central nervous system may work in concert to generate sophisticated representations regarding self and environments in the brain. This hypothesis, together with the underlying mechanisms, is particularly difficult to test for certain sensory inputs due to the lack of reversible manipulation techniques. Long postulated as a component for path integration, proprioception is one of such modalities. In this study, we developed a murine experimental system to manipulate proprioceptive inputs during memory-dependent localization task (which required precise operant-conditioned licks) in spatial virtual reality (VR). Through bioluminescent optogenetics (luminopsin) selectively expressed in the parvalbumin-positive neurons of the dorsal root ganglia in mice, proprioceptive processing was compromised directly from the periphery to bypass the bottleneck of specific central targeting, which results from the lack of anatomically or genetically dedicated proprioceptive circuits in the brain. In-vivo IVIS imaging and behavior suggested the effects of luminopsin last for roughly 20 minutes. While mice exhibited normal performance in tasks relying on gross motor skills, they showed subtle deficits in challenging spatial tasks that required integration of past movements. These observations support a task-specific role for proprioception, and demonstrate a potential of chemogenetics-like, rapidly reversible strategies for characterizing peripherally defined sensory contribution to spatial cognition. Future work will optimize this approach; for instance, to activate opsins by light with millisecond precision. To our knowledge, this is a first causal demonstration for acute participation of proprioception in path-integration biomechanics, enabling the first temporally defined method for mild perturbation of path-integration mechanisms.

Extremely elongate necks have convergently evolved in several amniote lineages, including both aquatic and terrestrial forms (Fig. 1). The development of such a feature brings with it advantages in obtaining food items, but also biomechanical challenges, such as flexibility, stability, lift, and inertia. In Tanystropheus, a particularly long-necked Triassic archosauromorph, the neck is composed of only 13, mostly extraordinarily elongated and slender cervical vertebrae and accompanying rod-like, overlapping ribs, making it arguably the most extreme example of neck elongation in tetrapod evolution (Fig. 1;1-6). Understanding the function of this remarkable neck provides insights into the limits of neck elongation in amniotes and the evolution of morphological novelties in Triassic reptiles. Here we present the first quantitative biomechanical analysis of the Tanystropheus neck using a digital model based on three-dimensionally preserved bones. We assessed its range of motion (ROM) and performed finite element analysis (FEA) on the individual cervical ribs and the neck model in different configurations. Our results indicate that the neck of Tanystropheus was not extremely stiff, as previously postulated, and the ribs likely did not impair its movements. They transferred tensile forces towards the base of the neck, similar to what hypothesized for sauropods7. This study elucidates the bauplan of an extremely specialized animal and brings us closer to understanding the patterns of achieving neck elongation in vertebrates.

Humans make emotional facial expressions and have a cardiac response when they catch themselves in a mistake or receive feedback about task performance. We tested whether rats exhibit similar visceral responses in the context of metacognition. We assessed heart rate variability (HRV) and machine learning-detected facial expressions as female and male rats detected and stopped in-progress mistakes and received post-choice rewards or error cues. HRV increased during internally detected mistakes, as well as in response to external error cues for both sexes. Errors were associated with an HRV response when parasympathetic tone was higher, while rewards were associated with an HRV response when sympathetic tone was higher. We observed sex-specific effects of cardiac interoception on cognitive control over real-time action correction, in that low parasympathetic tone was associated with reduced ability to stop in-progress mistakes exclusively in females. Rats made facial expressions during mistake detection and in response to task feedback. Outcome-related facial expressions were valence-specific, in that the facial expression after error feedback was delayed relative to the post-reward facial expression. Our results suggest that rats have a visceral experience during metacognitive monitoring.

The specificity protein 7 (SP7), also known as Osterix (OSX), is a zinc-finger transcription factor essential for osteoblast differentiation and skeletal development. Hereafter, the protein is referred to as OSX/SP7 throughout the manuscript. Although OSX/SP7 has been extensively studied in mammals and teleost fish, its developmental expression pattern in chicken (Gallus gallus) has not been described. Using an experimentally isolated chicken OSX/SP7 sequence, we examined OSX/SP7 mRNA expression during embryogenesis by in situ hybridization. As expected, OSX/SP7 expression was detected in developing skeletal elements undergoing ossification. Unexpectedly, transcripts were also observed in the neuroepithelium, retina, central nervous system, embryonic muscles and integument. Notably, OSX/SP7 expression was present in the neural tube from Hamburger and Hamilton stage 9 and persisted in the developing central nervous system until at least HH40, suggesting that OSX/SP7 functions during avian development may extend beyond osteogenesis. In addition, we reconstructed the chicken OSX/SP7 coding sequence and inferred its associated untranslated regions. The reconstructed ORF was independently supported by maternal and paternal haplotype-resolved chicken genome assemblies and retained the characteristic domain architecture of vertebrate OSX/SP7 proteins despite substantial divergence outside the DNA-binding domain. Taken together, these findings broaden the developmental landscape of OSX/SP7 expression in birds and provide new molecular resources for future studies of OSX/SP7 regulation and function during vertebrate development.

Gelatinous zooplankton are abundant predators and prey in marine food webs, yet their role in helminth (parasitic worms) transmission remains poorly resolved. Here we combine a global synthesis of published records with new morphological and molecular observations from the Mediterranean, Red, Celtic, Baltic and North Seas to assess the ecological role of helminths associated with gelatinous zooplankton. We compiled 431 host-parasite association records from 89 sources, including 23 new records, and show that helminth occurrence and richness in gelatinous hosts are concentrated at temperate latitudes, contrasting with the classical latitudinal diversity gradient. Our sampling revealed markedly higher parasite prevalence, abundance and diversity in the Red Sea than in the Mediterranean, while no helminths were detected in gelatinous zooplankton sampled from the Baltic and North Seas. All helminths recorded were larval stages, indicating that gelatinous zooplankton function as key intermediate hosts in marine helminth life cycles. Molecular analyses identified cestodes, nematodes and digenean trematodes associated with cnidarians, ctenophores, and chaetognaths, including the first record of trematode larvae in a pelagic tunicate. Our findings challenge the view of gelatinous zooplankton as dead-end hosts and identify them as overlooked vectors that may shape marine parasite biogeography, food web connectivity and invasion dynamics.

Radiotherapy is common practice to treat cancer but produces significant side effects such as chronic pain. Cancer survivors report developing chronic pain due to their treatment even long after the cancer is cured. To understand the mechanisms underlying the radiotherapy-induced chronic pain, we assessed how ionising X-ray radiation exposure during 4 consecutive days of 5 Gy (total radiation dose of 20 Gy) affected dorsal root ganglia (DRG) sensory neurons (rodent F11 cell line). On the 5th day, we assessed known impacts of ionising radiation (senescence, oxidative stress, cellular metabolism, mitochondrial copy number, and mitochondrial respiration) followed by assessing expression of genes associated with populations of DRG neuronal fibres. We discovered that fractionated exposure to ionising radiation increased senescence, mitochondrial copy number, and modulated the NAD+/NADH pathway, but did not change the oxygen consumption rate nor induce oxidative stress 24 hours after the last irradiation exposure. Additionally, ionising radiation altered the expression of genes associated with mechanoreceptor fibres, known to have pro-nociceptive properties in the context of injury and chronic pain.