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Biology subjects

Fernandez, A.

Publications and source records attributed to Fernandez, A..

At least 19 recordsLinked to original sources

NEIL2 regulates RNA polymerase II dynamics to suppress transcription replication conflicts in pancreatic cancer

Transcription replication conflicts (TRCs) arise from spatiotemporal interference between replication and transcription machinery and contribute to genome instability in cancer cells. In pancreatic ductal adenocarcinoma (PDAC) cells, oncogenic KRAS drives TRC formation, and base excision repair (BER) contributes to TRC resolution as an adaptive response. Here, we show that TRCs are enriched in pancreatic tumor sections from patients and are associated with malignant progression. We identify NEIL2, a bifunctional DNA glycosylase in the BER pathway, as a critical regulator of TRCs in PDAC cells. Mechanistically, NEIL2 loss causes aberrant RNA polymerase II (RNAPII) occupancy at transcription start sites and downstream of transcription end sites. Dysregulated RNAPII dynamics promote R-loop-dependent and -independent TRCs contributing to replication stress, DNA damage, and impaired cancer cell proliferation. Notably, the DNA-binding motif of NEIL2 necessary for canonical BER function is dispensable for TRC regulation. Together, these findings reveal an unrecognized role for NEIL2 in regulating RNAPII dynamics and mitigating TRCs in pancreatic cancer cells.

molecular biology↗

The function of human PIF1 in G quadruplex formation and replication stress response at ALT telomeres

Cancers maintain their telomeres through two telomere maintenance mechanisms: 85-90% of cancers rely on telomerase (TEL+), while 10-15% of cancers adopt the Alternative Lengthening of Telomeres (ALT) pathway. The Break-Induced Replication (BIR) pathway plays a critical role in maintaining telomere length in the ALT+ cells. In both yeast and human, PIF1, a 5' to 3' helicase, is required for the robust activity of BIR. However, the extent of human PIF1 (hPIF1) involvement in the ALT pathway remains unknown. Here we showed that hPIF1 can be recruited to damaged telomeres in ALT+ cells. In addition, we demonstrated that inhibition of hPIF1 induced DNA damage and G quadruplex (G4) accumulation at ALT telomeres, leading to a moderate reduction of the mean telomere length. Most interestingly, we demonstrated that inhibition of hPIF1 also attenuates checkpoint activation, BLM recruitment, single-stranded DNA (ssDNA) formation, DNA damage, and G4s at telomeres in the FANCM deficient ALT+ cells. Finally, we showed that inactivation of hPIF1 affects the viability of both ALT+ and TEL+ cancers, suggesting that hPIF1 is a potential drug target for cancer therapy.

molecular biology↗

Replicative history as a major determinant of epigenetic noise across human tissues

DNA methylation changes accumulate with age through both regulated and stochastic processes, yet the determinants of epigenetic information loss remain poorly defined. Using genome-wide DNA methylation profiles from 1,531 healthy human samples spanning 14 tissues, we quantified epigenetic noise by Shannon entropy and corrected it for cellular and tissue heterogeneity. Adjusted entropy was consistently low in promoters, first exons and CpG islands, and high in CpG-poor and intergenic regions. Cumulative mitotic history showed a stronger association with epigenetic noise than chronological age, explaining most of its variance particularly within CpG-rich regulatory regions. By contrast, age-related, replication-independent effects predominated outside CpG islands and in low-proliferative tissues such as the brain. Moreover, biological age acceleration was largely attributable to cell division in a tissue-specific manner. Collectively, mitotic history emerges as a major determinant of epigenetic noise accumulation across human tissues, while genomic context modulates regional vulnerability to methylation information loss during aging.

genomics↗

Diploidy alters the path of fluconazole adaptation in C. glabrata

C. glabrata (syn. Nakaseomyces glabratus) is a major fungal pathogen, typically isolated as a haploid. We isolated a spontaneous diploid variant of the type strain CBS138 and performed experimental evolution under fluconazole. At physiologically relevant concentrations of fluconazole, we found that haploids and diploids both acquired PDR1 mutations, as is commonly observed in C. glabrata; diploids additionally acquired heterozygous ERG11 and ERG25 mutations and were more likely to acquire aneuploidies. Despite an ancestral fitness advantage for haploids, after [~]200 generations the highest-fitness clones, as measured in competitive assays with and without fluconazole, were diploid double heterozygotes having nonsynonymous mutations to PDR1 and ERG11 or PDR1 and ERG25. Diploid clones also had higher MICs. These results suggest, in this particular context, an evolvability advantage for diploids. In a follow-up experiment in which we rapidly increased the fluconazole concentration to a very high concentration, haploids and diploids adapted via entirely distinct routes: haploids via co-mutation in ERG3 and CgOSH3, a previously unreported path to fluconazole resistance, and diploids via heterozygous mutation in ERG25 coupled with trisomies of chrF, chrG, and chrI in all sampled clones, and chrC in most sampled clones.

evolutionary biology↗

Cross-Domain Behavioral Fingerprints in ASD

The behavioral features of autism spectrum disorders (ASD) span multiple domains, yet how behavioral dimensions shape and contribute to ASD phenotypes remains unknown. Here, using large-scale phenotypic data from SPARK, I identified a reproducible architecture linking sensory-repetitive, motor, and social-communication features with broader clinical variation and show broad associations with psychopathology. This organization is recovered across independent SPARK subsets and independently replicated in the Simons Simplex Collection, where sensory-repetitive features again form the highest-ranking hubs. Anxiety-related symptoms contribute to but not fully account for this organization. Age-stratified analyses in SPARK revealed a marked reorganization of phenotypic architecture with sensory-repetitive features dominating the hub hierarchy in childhood and motor features rising to the highest relative positions in adolescence and adulthood. Together, these findings suggest that autism-related heterogeneity is not simply multidimensional but organized around a reproducible sensory-repetitive-centered architecture whose developmental expression varies across cohorts.

neuroscience↗

AI-assisted improvement of Aspergillus oryzae β-galactosidase using an Ensemble of Protein Language Models

{beta}-galactosidases (BGs) are essential enzymes widely used in the food industry, particularly in the production of lactose-free products. Among them, the BG from Aspergillus oryzae is of industrial relevance due to its activity at acidic pH and moderate thermal tolerance. However, enhancing its catalytic performance remains a key challenge. Traditional enzyme engineering methods are time-consuming and resource-intensive, limiting their scalability. Recent advances in Artificial Intelligence (AI), particularly those based on Natural Language Processing, offer a promising alternative by enabling efficient exploration of protein sequence space and prediction of beneficial mutations. In this study, we introduce an ensemble-based, zero-shot Protein Language Model pipeline that reconciles predictions from six independent models (ESM2 and the five ESM1v variants) combined with a diversity-aware candidate selection strategy. Applied to the BG from A. oryzae, this approach identified beneficial mutations leading to novel enzyme variants with up to a four-fold increase in catalytic efficiency on oNPGal, a two-fold increase on lactose, and, independently, a T338I variant with markedly enhanced thermostability ({approx}80% residual activity after 24 h at 60 {degrees}C), all without requiring supervised fine-tuning on experimental fitness data. Our results demonstrate that consensus across an ensemble of PLMs can efficiently enrich beneficial substitutions in industrially relevant enzymes and substantially reduce the number of wet-lab candidates that need to be screened. Table of Contents graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/726739v1_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@16477baorg.highwire.dtl.DTLVardef@f071c5org.highwire.dtl.DTLVardef@1bd7777org.highwire.dtl.DTLVardef@1ee2999_HPS_FORMAT_FIGEXP M_FIG C_FIG

synthetic biology↗

Pathologies and causes of death in stranded cetaceans in the Canary Islands (2013-2018)

Cetacean pathology is a cornerstone for population and marine ecosystem health monitoring, allowing clear differentiation among natural and anthropogenic threats. Previous studies in the Canary Islands reported natural causes of death in 59.4% (1999-2005) and 81% (2006-2012) of stranded cetaceans, versus anthropogenic causes in 33.3% and 19%, respectively. This study aimed to determine the causes of death (CD), pathologic findings, and epidemiological patterns of 316 cetaceans stranded in the Canary Islands between 2013 and 2018. The CDs were classified in pathologic entities (PEs) emphasizing natural versus anthropic origins. Of 316 animals, 224 (70.9%) from 18 species were suitable for pathological investigations. Among natural PEE, natural pathology associated with good nutritional status (NP-GNS) and natural pathology associated with significant loss of nutritional status (NP-LNS) represented 43/224 (19.2%) and 36/224 (16%) cases, respectively. Natural pathology with undetermined nutritional status (NP-UNS) occurred in 19/224 (8.5%) animals. Intra- and interspecific traumatic interactions (ITI) represented 30/224 (13.4%) cases, followed by neonatal/perinatal pathology (NPN) 19/224 (8.5%) and live-stranding stress and/or capture myopathy (LS-CM) 18/224 (8%). Infectious and parasitic diseases predominated in natural PEs. Anthropogenic PEs included interaction with fishing activities (IFA) in 17/224 (7.6%) cases, vessel collisions (VC) in 9/22 (4%) cases, and foreign body-associated pathology (FBAP) in 3/224 (1.3%) animals. Overall, anthropogenic causes accounted for 12.9% of deaths, natural causes for 73.6%, and the CD could not be established in 30/194 (13.4%) cases. This study reaffirms the trends concerning recognized PEs (NP-GNS, NP-LNS, NP-UNS, ITI, NPN, LS-CM, IFA, VC, and FBAP), expands the body of knowledge on cetacean pathology in the Canary Islands, and reports novel findings including mixed infections, clostridiosis in uncommon species, uremic syndrome secondary to urethral nematodiasis, gas embolism in unusual species, epibiont stomatitis, congenital musculo-skeletal malformations, or neoplastic processes. These findings advance understanding of cetacean mortality patterns and support conservation and management strategies.

pathology↗

Evaluating Limits of Machine Learning-Assisted Raman Spectroscopy in Classification of Biological Samples

Machine learning (ML)-assisted Raman spectroscopy has become a powerful analytical tool for the classification and identification of analytes; however, technical challenges impacting its detection accuracy have not been investigated. This study explores experimental factors affecting classification performance. Among the evaluated ML models, ML algorithms show minimal impacts on classification accuracy. Instead, experimental factors, including spectral similarity between tested samples and the data quality, dominate detection performance. Increases in spectral noises and spectral similarity significantly reduce classification accuracy. In well-controlled samples with low experimental noise, ML-assisted Raman spectroscopy can discriminate lipid mixtures with a composition difference of 1.85 mol%. To assess the effect of biological heterogeneity, we analyzed single-cell Raman spectra from Saccharomyces cerevisiae strains carrying single, double, or triple gene mutations. Intrinsic cell-to-cell variability introduced substantial spectral differences, severely reducing the accuracy of multiclass classification of these genetically similar strains at the single-cell level. Averaging Raman spectra across multiple cells improved classification accuracy by reducing this spectral variability. We also assess the effectiveness of transfer learning across different Raman spectrometers, specifically by applying a ML model trained on one instrument to another Raman spectrometer. Transfer learning can be improved with proper instrument calibration, highlighting the importance of instrument standardization. Overall, our results demonstrate that data quality and spectral similarity are the primary bottlenecks in ML-assisted Raman spectroscopy. Careful attention to sample preparation, data acquisition, measurement conditions, and instrument calibration is critical to achieving robust and reliable classification performance.

bioinformatics↗

DISCO-LAMP: A Novel discontinuous LAMP assay for isothermal antigen detection

Proximity ligation assay (PLA), in which the ligation of two DNA probes is greatly accelerated by the associating target molecules, has emerged as a highly sensitive technique for protein detection. The detection of the ligated DNA typically relies on PCR, which requires temperature cycling. In this study, we report on a novel discontinuous (DISCO)-LAMP assay that enables the wash-free detection of PLA products via loop-mediated isothermal amplification (LAMP). Due to the exponential amplification nature of LAMP, a careful balance between efficient amplification of the ligated full-length DNA and minimal background amplification from the individual constituent probes is essential but often challenging to achieve. After extensive template/primer design and assay optimization, DISCO-LAMP assay achieved a detection limit of 1 fM for the ligated DNA probe while maintaining undetectable background amplification at 1 nM of each individual probe. DISCO-LAMP detected Shiga toxin 2 (Stx2) with a limit of detection (LoD) of 100 fM when functionalized with Stx2-binders, as well as both Wuhan-1 and Omicron spike protein when functionalized with DS16, a newly engineered DARPin targeting a conserved epitope on the SARS-CoV-2 Spike protein. We believe DISCO-LAMP represents a versatile and efficient LAMP-based PLA technology that is readily adaptable for sensing diverse targets.

bioengineering↗

Managing soil sustainably on small-scale vegetable farms: Lessons learned from high tunnel and open field vegetable production

Small-scale vegetable farms are increasingly important to local food systems, but the soils on these farms are not well understood, particularly in high tunnel production environments. Therefore, this study aimed to 1. Compare soil nutrients and soil health metrics in high tunnels and nearby open fields. 2. Document soil nutrient accumulation on diversified vegetable farms and assess loss potential. 3. Explore the impacts of specific management practices (input use, cover crops, tillage, and soil testing) and farm demographics on a variety of soil health and soil nutrient metrics. Just under half of the high tunnels in this study had soluble salt accumulation, which was associated with higher soil nitrate concentrations. The pH of many high tunnel soils was above the optimal range for crop production, which was correlated with irrigation water alkalinity. Some high tunnel soils had rapid water infiltration rates, with implications for irrigation water management. Both high tunnel and open field soil were rich in nutrients compared with other Minnesota farms. Preliminary assessments suggested risks to surface and groundwater from nutrient runoff and leaching. While farmer experience and more years in vegetable production were negatively associated with soil health metrics, management practices including reduced tillage, organic management, and application of plant-based compost were positively associated with soil health. Cation exchange capacity and permanganate oxidizable carbon did not provide significantly more insight than simply measuring organic matter. Arbuscular mycorrhizal fungal spore counts were inconclusive, but aggregate stability and bulk density were responsive to farmer reported soil management activities. Core ideasO_LIHigh tunnel soil tends to be rich in nutrients and organic matter. They also accumulate soluble salts, likely from excess inputs C_LIO_LIIrrigation water routinely tested high in pH and alkalinity. These factors may explain high soil pH in high tunnels. C_LIO_LISmall-scale vegetable farms often have high concentrations of soil nutrients in both high tunnels and open fields, with potential to cause environmental contamination through leaching and runoff C_LIO_LIVegetable production may be inherently hard on soil health, but conservation practices including reduced tillage, organic management, and use of plant-based composts can improve soil health in these production systems C_LI

ecology↗

Adaptive regulation of dNTP homeostasis confers osimertinib resistance in EGFR mutant non-small cell lung carcinoma

Maintaining sustained deoxyribonucleotide triphosphate (dNTP) pools is essential for DNA replication fidelity and genome stability. In EGFR-mutant non-small cell lung carcinoma (NSCLC), we find that disruption of dNTP homeostasis plays a critical role in determining sensitivity to the EGFR inhibitor osimertinib and in shaping mechanisms of acquired resistance. Transcriptomic and biochemical analyses revealed that osimertinib suppresses RRM2 expression, a key regulator of dNTP synthesis, through the downregulation of the transcription factor MYBL2. In response to osimertinib-mediated replication stress and dNTP depletion, cells activated a compensatory pathway involving the stress-inducible ribonucleotide reductase subunit RRM2B via a novel transcriptional regulator, TNNT3. We further identified CHK2 signaling as essential for TNNT3 nuclear translocation and RRM2B transcriptional activation. Inhibition of CHK2 or combined CHK1/2 blockade impaired RRM2B induction, exacerbated replication stress, and delayed the development of osimertinib resistance both in vitro and in xenograft models. Collectively, our findings reveal that EGFR-mutant NSCLC cells rely on a dynamic EGFR-MYBL2-RRM2 and CHK2-TNNT3-RRM2B regulatory axis to maintain dNTP pool balance under therapeutic pressure. Disruption of this axis sensitizes tumors to osimertinib and impairs the acquisition of resistance, highlighting dNTP metabolism as a critical vulnerability and actionable target in EGFR-driven lung cancer. STATEMENT OF SIGNIFICANCETargeting dNTP metabolism via the EGFR-MYBL2-RRM2 and CHK2-TNNT3-RRM2B regulatory axis sensitizes EGFR-mutant NSCLC to osimertinib treatment and delays drug resistance, revealing a novel and actionable therapeutic vulnerability in EGFR-driven lung cancer.

cancer biology↗

JMJD1B-mediated FEN1 demethylation allows timely switching of Okazaki fragment maturation core enzymes to avoid mutagenic flap ligation by PARP1-LIG3

Efficient and faithful Okazaki fragment maturation (OFM) depends on the PCNA-coordinated actions of core enzymes Pol{delta}, FEN1, and LIG1. We demonstrate that Pol{delta}, FEN1, and LIG1 sequentially but not simultaneously bind to PCNA in mammalian cells. The association of FEN1 with PCNA, which lies at the center of this orderly program, is mediated by FEN1 R192 methylation, which is also crucial for preventing premature loading of LIG1. Conversely, FEN1 demethylation by the recently identified arginine demethylase JMJD1B promotes FEN1 dissociation from PCNA and LIG1 recruitment. Disruption of the sequential PCNA binding program in R192Q or Jmjd1b-/- cells results in unprocessed 5 flaps that prevent OFM and induction of PARP1-dependent recruitment of LIG3, which has flap ligation activity to join incompletely processed OFs. This alternative OFM process supports cell survival but causes duplications and other DNA mutations. Our findings define fundamental and alternative DNA replication processes underlying mutagenesis and cell survival. HighlightsO_LIThe core enzymes involved in Okazaki fragment maturation (OFM), DNA polymerase {delta} (Pol{delta}), flap endonuclease 1 (FEN1), and ligase 1 (LIG1), sequentially bind to the scaffold protein PCNA for their concerted actions C_LIO_LIFEN1 R192 methylation enables FEN1 binding to PCNA; JMJD1B-mediated FEN1 arginine demethylation provokes FEN1 exit from PCNA and LIG1 recruitment C_LIO_LIFEN1 R192Q mutation and JMJD1B deficiency oppositely alter dynamic PCNA interactions with FEN1 and LIG1 and result in distinct OFM DNA intermediate structures C_LIO_LIActivation of PARP1 at replication forks due to disruption of the sequential PCNA binding program induces LIG3-mediated alternative mutagenic 5 flap ligation for survival. C_LI

cell biology↗

Pathological Mechanisms of Motor Dysfunction in Familial Danish Dementia: Insights from a Knock-In Rat Model

Familial Danish Dementia (FDD) is a rare autosomal dominant neurodegenerative disorder caused by a mutation in the integral membrane protein 2B (ITM2b) gene. Clinically, FDD is characterized by cerebral amyloid angiopathy (CAA), cerebellar ataxia, and dementia. Notably, FDD shares several neuropathological features with Alzheimers disease (AD), including CAA, neuroinflammation, and neurofibrillary tangles. In this study, we investigate the pathological mechanisms linking CAA, white matter damage, and motor dysfunction using a recently developed FDD knock-in (FDD-KI) rat model. This model harbors the Danish mutation in the endogenous rat Itm2b gene, along with an App gene encoding humanized amyloid-{beta} (A{beta}). Our analysis revealed substantial vascular Danish amyloid (ADan) deposition in the cerebellar subpial and leptomeningeal vessels of FDD-KI rats, showing an age-related increase comparable to that observed in human FDD patients. Additionally, vascular A{beta} deposits (A{beta}-CAA) were present in FDD-KI rats, but A{beta}-CAA patterns showed some differences between species. Motor function assessments in FDD-KI rats demonstrated age-accelerated motor deficits and gait abnormalities, mirroring the clinical characteristics of FDD patients. To further explore the mechanisms underlying these deficits, we examined cerebellar pathology and found age-related myelin disruption and axonal fiber loss, consistent with postmortem human FDD pathology. Cerebellar demyelination appeared to be driven by neuroinflammation, marked by increased microglial/macrophage activation in response to vascular amyloid deposition. Additionally, we observed extravascular fibrinogen leakage, indicating widespread vascular permeability in both white and gray matter, with fibrinogen deposits surrounding amyloid-positive vessels in aged FDD-KI rats and postmortem FDD cerebellum. These findings suggest that this FDD-KI rat model is the first animal model to recapitulate key neuropathological features of human FDD patients, including both ADan- and A{beta}-type CAA, neuroinflammation, and white matter lesions--pathologies that may underlie the motor and gait impairments seen in the disease.

neuroscience↗

DNA2 and MSH2 activity collectively mediate chemically stabilized G4 for efficient telomere replication

G-quadruplexes (G4s) are widely existing stable DNA secondary structures in mammalian cells. A long-standing hypothesis is that timely resolution of G4s is needed for efficient and faithful DNA replication. In vitro, G4s may be unwound by helicases or alternatively resolved via DNA2 nuclease mediated G4 cleavage. However, little is known about the biological significance and regulatory mechanism of the DNA2-mediated G4 removal pathway. Here, we report that DNA2 deficiency or its chemical inhibition leads to a significant accumulation of G4s and stalled replication forks at telomeres, which is demonstrated by a high-resolution technology: Single molecular analysis of replicating DNA (SMARD). We further identify that the DNA repair complex MutS (MSH2-MSH6) binds G4s and stimulates G4 resolution via DNA2-mediated G4 excision. MSH2 deficiency, like DNA2 deficiency or inhibition, causes G4 accumulation and defective telomere replication. Meanwhile, G4-stabilizing environmental compounds block G4 unwinding by helicases but not G4 cleavage by DNA2. Consequently, G4 stabilizers impair telomere replication and cause telomere instabilities, especially in cells deficient in DNA2 or MSH2.

molecular biology↗

Pathology of Influenza A (H5N1) infection in pinnipeds reveals novel tissue tropism and vertical transmission.

In 2023, an unprecedented outbreak of highly pathogenic avian influenza (HPAI) H5N1 resulted in the death of thousands of pinnipeds along the Argentinean coast, raising concerns about its ecological and epidemiological impact. Here, we present clinical, pathological, and molecular findings associated with HPAI H5N1 infection in pinnipeds from Chubut, Argentina. Necropsies were conducted on three South American Sea Lions (SASLs) (Otaria flavescens) and one Southern Elephant Seal (SES) (Mirounga leonina), followed by histopathological, immunohistochemical and RT-sqPCR analyses. Neurological clinical signs were observed in two SASLs, with one also exhibiting respiratory distress. Neuropathological findings included lymphoneutrophilic meningoencephalomyelitis and choroiditis, neuronal necrosis, gliosis, hemorrhages, and perivascular cuffing. Viral antigen was localized in neurons, glial cells, choroid plexus epithelial cells, ependymal cells, and the neuropil. Systemic manifestations included HPAI-related necrotizing myocarditis in the elephant seal and placental necrosis in a sea lion, with fetal tissues testing positive for HPAIV. Pulmonary lesions were minimal, limited to bronchial glands in one individual. RT-sqPCR confirmed HPAI H5 in all tested animals. Our findings highlight the neurotropism of HPAI H5N1 in pinnipeds, and expand the known systemic effects of the virus, revealing new tissue tropism and vertical transmission.

pathology↗

Lipid-driven SRC self-association modulates its transformation capacity

Src tyrosine kinase is anchored to the plasma membrane, however, the contribution of membrane lipids to its regulation remains elusive. Here we report Src self-association through a lysine cluster in the Src SH4 region mediated by lipids in human cells and in vitro. Mutation of the lysine cluster to arginine modulates Src self-association and its transforming function in human cells. This mechanism may also apply to other membrane-associated signaling proteins that have similar lysine clusters in their unstructured regions. Lipid-anchored micron-sized condensates of full length Src are formed in supported homogeneous lipid bilayers (i.e independently of lipid phase separation). Condensates are also formed by the purified Src N-terminal regulatory element, including the myristoylated SH4 domain, the intrinsically disordered Unique domain and the globular SH3 domain. The isolated SH4 domain forms small protein-lipid clusters, but not micron-size condensates. Our findings reveal lipid-mediated kinase self-association as an additional mechanism for Src regulation. Significance StatementCondensate formation, often associated to intrinsically disordered protein regions is emerging as a widespread regulatory mechanism. Protein phase separation has been linked to the regulation of kinases recruited to condensates formed by other proteins. Here we show i) that the N-terminal disordered region of Src kinase drives lipid-mediated self-association to form condensates on the cell surface, ii) a lysine cluster in the N-terminal SH4 domain is essential for this process, iii) mutation of these lysine residues to arginine increases self-association in vitro and in vivo, and iv) self-association of Src results in enhanced transforming capacity in human cells. Similar lysine clusters are present in juxtamembrane regions suggest a general mechanism for modulating protein-protein interactions by lipids. The article shows the formation of condensates by Src on supported lipid membranes mediated by lipids, dependent of a conserved lysine cluster in its SH4 domain, and modulating Srcs transforming capacity. O_LIFull length Src and truncated variants including its myristoylated SH4 domain self-associate on the surface of homogeneous lipid bilayers. C_LIO_LIThe interaction of a lysine cluster in SH4 domain with lipids modulates Src self-association C_LIO_LIAtomic force microscopy shows the formation of micron-size condensates and smaller clusters on the surface of supported lipid bilayers, depending on the lipid composition or the presence of mutations in the lysine cluster C_LIO_LISrc self-association is confirmed in human cells and the Src transforming function of Src in human cells is modulated by lipid-mediated self-association C_LI

molecular biology↗

Exercise Evokes Retained Motor Performance without Neuroprotection in a Mouse Model of Parkinson's Disease

Exercise has been extensively studied in Parkinsons Disease, with a particular focus on the potential for neuroprotection that has been demonstrated in animal models. While this preclinical work has provided insight into the underlying molecular mechanisms, it has not addressed the neurophysiological changes during exercise. Here, first, we tested for neuroprotective effects of adaptive wheel running exercise in the 6-hydroxydopamine mouse model of Parkinsons disease, assessing for dopaminergic cell preservation. Finding none, despite running performance that equaled the pre-parkinsonian state, we probed the neurophysiology of running exercise as a transient state of high motor function amidst an unameliorated Parkinsonian lesion. Exercise was associated with characteristic, excitatory changes in the dopamine-depleted substantia nigra, which could be suppressed along with running itself by dopamine receptor blockade. Going forward, the functional state evoked by exercise merits further study, as it has parallels in human disease and may represent an optimal physiologic target for neuromodulation.

neuroscience↗

Simulating a medical expertise: a robust novel stress induction paradigm in chronic pain patients

Maladaptive stress responses may exacerbate chronic widespread pain (CWP) and deserve further investigations. Yet, existing stress induction paradigms lack relevance for individuals with this condition. Hence, we developed the Social Benefits Stress Test (SBST), adapted from the Trier Social Stress Test. Instead of a job interview, the main task consists in justifying the inability to work. Forty women with CWP in the context of hypermobile Ehlers-Danlos syndrome or hypermobility spectrum disorders were included. They underwent a 30-min baseline, the new stress task and a recovery period. The psychophysiological stress response was captured using self-reported stress ratings, salivary cortisol and - amylase levels, as well as continuous physiological monitoring of heart rate variability (HRV) and electrodermal activity (EDA). Compared to baseline, the analysis revealed a significant and transient increase in stress ratings during the stress task, associated with a peak in salivary biomarkers concentrations. The HRV signal analysis showed a significant decrease in high frequency power (HF), and increases in heart rate, low frequency power (LF) and in LF/HF ratio. The EDA analysis revealed a significant increase in skin conductance level (SCL) tonic component and skin conductance response (SCR). Subjective stress ratings positively correlated with changes in salivary biomarkers, LF/HF ratio and EDA outcomes. The SBST induced a reproducible moderate stress response across subjective and physiological measures in a population of CWP patients, validating this task as a relevant experimental model of social stress in chronic pain. The SBST is a useful tool to study the relationship between stress and chronic pain. PerspectiveThis manuscript presents the Social Benefits Stress Test (SBST) as a novel paradigm to assess stress reactivity in chronic widespread pain patients. By simulating the challenge of justifying work incapacity, it elicits a reproducible stress response, supporting its use as a model to study stress-pain interactions and evaluate therapeutic interventions.

neuroscience↗