Population Responses Research Articles

Seasonal distribution and correlation between IL-10 and IL-13 gene polymorphism and their expression in scabies-infected patients.

Scabies is a significant concern in global health. It is more prevalent in individuals who have poor hygiene and live in crowded conditions, hence, it is seasonal distribution and immunological response in Erbil population is the aim of the present study. In the Erbil Dermatology Education Centre in Erbil, Iraq, 154 patients were recruited for the research between April 2022 and March 2023. If a patient has a suspicious skin lesion and itching for a minimum of one week, scabies may be considered. Blood samples were collected from each participant in the study to evaluate serum levels of IL-10 and IL-13, then the DNA was isolated to study the gene polymorphism for the mentioned cytokines. Results showed that female 60.3% were more infected than male 39.6%. The median age of participants was (10 - >51) years, among infested, adolescents aged 10-20 years displayed the highest rate (31.8%). The carriers of GA genotype of IL-10 were protective against the infection, OR:0.61. while the TT carriers of IL-13 were susceptible to scabies infection with OR:2.14. IL-10 GA genotype was more prevalent in male patients OR:2.14 whereas the AA genotype was most protective in females OR:0.32. the IL-13 CT genotype was protective for males with OR:0.52. Both of IL-10 and IL-13 serum levels were increased significantly with infection and highest levels were found in wild homozygous genotypes (GG and CC) and lowest ratio was found in mutant homozygous genotypes of IL-10 and IL-13 respectively. Point mutation in IL-10 GA was protective and wild TT genotype of IL-13 was susceptible to the scabies infection. Double mutation in IL-10 AA was protective to females and single mutation of IL-13 CT was protective to males.

Prevalence of the Potato virus Y strain composition impacting Michigan seed potato production

Potato virus Y (PVY) is a complex of multiple strains that cause a variety of foliar and tuber symptoms. Several current strains have potential to result in variety-dependent yield and quality losses. Understanding the local PVY strain population and variety responses are critical for detection and management. From 2019-2023, PVY strain composition was monitored across seven Michigan seed potato-producing counties growing prevalent chip, russet, and tablestock market classes. Using multiplex reverse-transcriptase polymerase chain reaction methods, PVY strains were identified from potato tuber or leaf samples collected through the certification program (N = 78 positive lots). PVYN-Wi remained most prevalent in Michigan, however, tuber necrotic strains PVYNTN and PVYE also continued to be detected. These, as well as some PVYN-Wi isolates, are known to cause necrotic symptoms in tubers, causing yield and quality reductions for susceptible potato cultivars. As in other U.S. potato-growing regions, PVYN-Wi and PVYNTN were most prevalent in Michigan seed potato lots. Of note, mild to severe tuber necrosis was observed in diagnostic samples positive with local PVYN-Wi strains. Parental strain PVYO appeared to re-emerge in 2023 and should be considered in certification and management. Mild or asymptomatic reactions may still lead to yield or quality losses and may pose a risk to more susceptible cultivars. Due to the diversity of strains and varieties prevalent in the Great Lakes region, continued uniform certification is recommended. Information gathered from this and future survey efforts will be valuable for growers, inspectors, and future breeding and selection efforts.

Restorative benefits of soundscapes for individuals with psychological disorders

Mental health is a significant focus in the global public health domain today. Soundscapes have been identified as having positive environmental restorative benefits, yet the discussion on the mechanisms through which soundscapes contribute to the recovery from psychological disorders remains insufficiently explored. To guide the creation of restorative soundscapes in psychotherapy settings, this article adopted an "exposure-response" research paradigm. Through a soundscape intervention experiment involving 98 participants, it analyzed the perceived restorativeness evaluations and both physiological and psychological responses of populations with different psychological states. Overall, this article explored the restorativeness of soundscapes for individuals with psychological disorders in a solitary listening condition, with specific soundscapes such as rain sounds, bird songs, and river sounds demonstrating restorative effects. Individuals with psychological disorders rated rain sounds highest, while psychologically healthy individuals gave the highest ratings to bird songs.

Bempegaldesleukin plus nivolumab in first-line advanced/metastatic urothelial carcinoma: Results from a phase II single-arm study (PIVOT-10)

BackgroundIn PIVOT-02, bempegaldesleukin (BEMPEG), a pegylated interleukin-2 cytokine prodrug, in combination with nivolumab (NIVO), a Programmed cell death protein 1 inhibitor, demonstrated the potential to provide additional benefits over immune checkpoint inhibitor monotherapy in patients with urothelial carcinoma, warranting further investigation. We evaluated BEMPEG plus NIVO in cisplatin-ineligible patients with previously untreated locally advanced or metastatic urothelial carcinoma. MethodsThis open-label, multicenter, single-arm, phase II study enrolled patients with locally advanced/surgically unresectable or metastatic urothelial carcinoma and who were ineligible for cisplatin-based treatment. Patients received BEMPEG plus NIVO were administered intravenously every 3 weeks for ≤2 years or until progression or unacceptable toxicity. The primary endpoint was objective response rate (ORR) by blinded independent central review (BICR) in patients with low programmed death ligand-1 (PD-L1) expression. Secondary endpoints included ORR and duration of response in the overall population. Progression-free survival (PFS) and overall survival (OS) were exploratory endpoints. ResultsOne hundred and eighty-eight patients were enrolled; 123 patients were PD-L1 low (combined positive score [CPS] <10; 65.4%), 59 were PD-L1 high (31.4%; CPS ≥10), and 6 had PD-L1 status unknown (3.2%). ORR per blinded independent central review in patients with PD-L1-low tumors was 17.9% (95% confidence interval [CI] 11.6–25.8) while in all treated patients was 19.7% (95% CI 14.3–26.1). Median PFS and OS in the overall population were 3.0 months and 12.6 months, respectively. BEMPEG plus NIVO combination was well tolerated, with a safety profile similar to previously reported trials; no new or unexpected safety signals were reported. ConclusionsBEMPEG plus NIVO did not meet the efficacy threshold for ORR in patients with previously untreated locally advanced or metastatic urothelial carcinoma and low PD-L1 expression.

Pre-existing visual responses in a projection-defined dopamine population explain individual learning trajectories

A key challenge of learning a new task is that the environment is high dimensional-there are many different sensory features and possible actions, with typically only a small reward-relevant subset. Although animals can learn to perform complex tasks that involve arbitrary associations between stimuli, actions, and rewards,1,2,3,4,5,6 a consistent and striking result across varied experimental paradigms is that in initially acquiring such tasks, large differences between individuals are apparent in the learning process.7,8,9,10,11,12 What neural mechanisms contribute to initial task acquisition, and why do some individuals learn a new task much more quickly than others? To address these questions, we recorded longitudinally from dopaminergic (DA) axon terminals in mice learning a visual decision-making task.7 Across striatum, DA responses tracked idiosyncratic and side-specific learning trajectories, consistent with widespread reward prediction error coding across DA terminals. However, even before any rewards were delivered, contralateral-side-specific visual responses were present in DA terminals, primarily in the dorsomedial striatum (DMS). These pre-existing responses predicted the extent of learning for contralateral stimuli. Moreover, activation of these terminals improved contralateral performance. Thus, the initial conditions of a projection-specific and feature-specific DA signal help explain individual learning trajectories. More broadly, this work suggests that functional heterogeneity across DA projections may serve to bias target regions toward learning about different subsets of task features, providing a potential mechanism to address the dimensionality of the initial task learning problem.

Population trends are more strongly linked to environmental change and species traits in birds than mammals.

Changes in land use and climate directly impact species populations. Species with divergent characteristics may respond differently to these changes. Therefore, understanding species' responses to environmental changes is fundamental for alleviating biodiversity loss. However, the relationships between land use changes, climate changes, species' intrinsic traits and population changes at different spatial scales have not been tested. In this study, we analysed the effects of land use and climate changes from different time periods and species traits on the population change rates of 2195 bird and mammal populations in 577 species recorded in the Living Planet Database at global, tropical and temperate scales. We hypothesized that both bird and mammal populations will decline owing to climate and land use changes, especially phylogenetically young and small-bodied species. We found that bird population trends were more closely related to environmental changes and phylogenetic age than those of mammals at global and temperate scales. Mammal population trends were not significantly correlated with land use or climate changes but were with longevity at global and temperate scales. Given the divergent responses of bird and mammal populations to these explanatory variables, different conservation strategies should be considered for these taxa and for different regions.

Population Size in Evolutionary Biology Is More Than the Effective Size.

In population genetics idealized Wright-Fisher (WF) populations are generally considered equivalent to real populations with regard to the major evolutionary processes that influence genotype and allele frequencies. As a result we often model the response of populations by focusing on the effective size N e . The Diversity Partitioning Theorem (DPT) shows that you cannot model the behavior of a system solely on the basis of a diversity (accounting for unevenness among items) without taking richness into account. I show that the census population size (the number of adults, N c ) is equivalent to a richness, and that the effective size N e is equivalent to a true diversity. It follows logically from the DPT that we require both N e and N c to understand how drift, selection, mutation, and gene flow interact to shape the course of evolution of populations. Here I review evidence that both N c and N e affect evolutionary trajectories of populations for neutral and adaptive processes. This also influences how we should consider evolutionary potential and genetic criteria for conservation of populations. The effective size of a population is of huge importance in evolutionary biology, but it should not be the sole focus when population size is concerned. Applied evolutionary studies need to integrate N c in the equation more consistently when modeling the response to selection, mutation, migration, and drift.

Antecedent Effect Models as an Exploratory Tool to Link Climate Drivers to Herbaceous Perennial Population Dynamics Data

ABSTRACTUnderstanding mechanisms and predicting natural population responses to climate is a key goal of Ecology. However, studies explicitly linking climate to population dynamics remain limited. Antecedent effect models are a set of statistical tools that capitalize on the evidence provided by climate and population data to select time windows correlated with a response (e.g., survival, reproduction). Thus, these models can serve as both a predictive and exploratory tool. We compare the predictive performance of antecedent effect models against simpler models and showcase their exploratory analysis potential by selecting a case study with high predictive power. We fit three antecedent effect models: (1) weighted mean models (WMM), which weigh the importance of monthly anomalies based on a Gaussian curve, (2) stochastic antecedent models (SAM), which weigh the importance of monthly anomalies using a Dirichlet process, and (3) regularized regressions using the Finnish horseshoe model (FHM), which estimate a separate effect size for each monthly anomaly. We compare these approaches to a linear model using a yearly climatic predictor and a null model with no predictors. We use demographic data from 77 natural populations of 34 plant species ranging between seven and 36 years in length. We then fit models to the asymptotic population growth rate (λ) and its underlying vital rates: survival, development, and reproduction. We find that models including climate do not consistently outperform null models. We hypothesize that the effect of yearly climate is too complex, weak, and confounded by other factors to be easily predicted using monthly precipitation and temperature data. On the other hand, in our case study, antecedent effect models show biologically sensible correlations between two precipitation anomalies and multiple vital rates. We conclude that, in temporal datasets with limited sample sizes, antecedent effect models are better suited as exploratory tools for hypothesis generation.

Evaluating the effects of nest management on a recovering raptor using integrated population modeling

AbstractEvaluating population responses to management is a crucial component of successful conservation programs. Models predicting population growth under different management scenarios can provide key insights into the efficacy of specific management actions both in reversing population decline and in maintaining recovered populations. Bald eagle (Haliaeetus leucocephalus) conservation in the United States has seen many successes over the last 50 years, yet the extent to which the bald eagle population has recovered in Arizona, an important population within the Southwest region, remains an area of debate. Estimates of the species' population trend and an evaluation of ongoing nest‐level management practices are needed to inform management decisions. We developed a Bayesian integrated population model (IPM) and population viability analysis (PVA) using a 36‐year dataset to assess Arizona bald eagle population dynamics and their underlying demographic rates under current and possible future management practices. We estimated that the population grew from 77 females in 1993 to 180 females in 2022, an average yearly increase of 3%. Breeding sites that had trained personnel (i.e., nestwatchers) stationed at active nests to mitigate human disturbance had a 28% higher reproductive output than nests without this protection. Uncertainty around population trends was high, but scenarios that continued the nestwatcher program were less likely to predict abundance declines than scenarios without nestwatchers. Here, the IPM‐PVA framework provides a useful tool both for estimating the effectiveness of past management actions and for exploring the management needs of a delisted population, highlighting that continued management action may be necessary to maintain population viability even after meeting certain recovery criteria.

Aging brought additional immune response alterations after breakthrough infections with the Omicron BA.5/BF.7 variants: Protein immune mechanism

The global spread of the Omicron variant strain BA.5/BF.7 has led to an increase in breakthrough infections. The elderly population shows different immune responses after infection due to the aging of the immune system, which has not been fully studied. The aim of this study was to investigate the effect of aging on immune response after breakthrough infection of Omicron BA.5/BF.7 variant, especially the changes of protein immune mechanism. The study analyzed the concentration of antibodies in serum and their ability to neutralize the mutant strain by comparing the immune response of the elderly population and the young population after infection. Proteomics techniques were used to assess differences in the expression of key proteins in immune cells of different age groups. The study found that older subjects produced lower levels of antibodies after infection than younger subjects and showed a significantly reduced ability to neutralize against BA.5/BF.7. In addition, proteomic analysis showed that the expression of proteins related to inflammation and apoptosis significantly increased in the immune cells of the elderly, while the proteins related to antiviral response and cell repair significantly decreased. These findings provide new ideas for immune intervention strategies in the elderly population, and emphasize the targeted research of anti-virus vaccines.

Traveling waves reflecting various processes represented by reaction–diffusion equations

The aim of this paper is to discover analytically the interactional responses of populations in a dynamic region where the reaction–diffusion process with forcing effects takes place through traveling wave solutions. An expansion method is considered here to properly capture the responses for the first time. In order to profoundly analyze the physical and mathematical discussions, some illustrative behavioral results are exhibited for various values of physical parameters. Especially for the different values of diffusion coefficients in the model under consideration, their effects on the behavior of the solitary wave are discussed and observationally supported by considering various illustrations. It is also seen that the solutions representing the diffusion seen to be in the form of the behavior of hexagonal Turing patterns in different time periods. The application of this study in mathematical biology is to analyze the relationship between the population density of certain species in any local region and the specific population density with invasion characteristics. In addition, the formation of the extinction vortex of the invading population, depending on the characteristics of the solutions presented, is also descriptively discussed.

"Distinct inhibitory neurons differently shape neuronal codes for sound intensity in the auditory cortex".

Cortical circuits contain multiple types of inhibitory neurons which shape how information is processed within neuronal networks. Here, we asked whether somatostatin-expressing (SST) and vasoactive intestinal peptide-expressing (VIP) inhibitory neurons have distinct effects on population neuronal responses to noise bursts of varying intensities. We optogenetically stimulated SST or VIP neurons while simultaneously measuring the calcium responses of populations of hundreds of neurons in the auditory cortex of male and female awake, head-fixed mice to sounds. Upon SST neuronal activation, noise bursts representations became more discrete for different intensity levels, relying on cell identity rather than strength. By contrast, upon VIP neuronal activation, noise bursts of different intensity level activated overlapping neuronal populations, albeit at different response strengths. At the single-cell level, SST and VIP neuronal activation differentially modulated the response-level curves of monotonic and nonmonotonic neurons. SST neuronal activation effects were consistent with a shift of the neuronal population responses toward a more localist code with different cells responding to sounds of different intensity. By contrast, VIP neuronal activation shifted responses towards a more distributed code, in which sounds of different intensity level are encoded in the relative response of similar populations of cells. These results delineate how distinct inhibitory neurons in the auditory cortex dynamically control cortical population codes. Different inhibitory neuronal populations may be recruited under different behavioral demands, depending on whether categorical or invariant representations are advantageous for the task.

Bimekizumab efficacy and safety in Korean patients with moderate to severe plaque psoriasis: A phase 3, randomized, placebo-controlled, double-blinded study.

Bimekizumab treatment has demonstrated significant improvements in clinical outcomes in patients with moderate to severe plaque psoriasis; however, studies so far have focused on predominantly White patient populations from North America and Europe, with one smaller study in a Japanese population. Here, clinical responses, safety, and tolerability of bimekizumab treatment in Korean patients are reported. Korean patients with moderate to severe plaque psoriasis were randomized to bimekizumab 320 mg every 4 weeks (Q4W) or placebo Q4W to week 16. Co-primary efficacy end points were achievement of ≥90% improvement from baseline in the Psoriasis Area and Severity Index (PASI 90) and Investigator's Global Assessment score of 0/1 (clear/almost clear) at week 16. Secondary efficacy end points included achievement of PASI 75 at week 4 and Dermatology Life Quality Index 0/1 at week 16. Safety outcomes were also assessed. Statistical analysis of the co-primary efficacy end points was performed using a type I error rate, at a two-sided α level of 0.05. Overall, 47 Korean patients were randomized to treatment (bimekizumab: 32, placebo: 15). At week 16, bimekizumab-treated patients had significantly higher clinical responses versus placebo-treated patients (PASI 90: 81.3% vs. 0%; IGA 0/1: 87.5% vs. 0%, p < 0.001 for both). Bimekizumab showed a rapid onset of clinical response, with 75.0% of patients achieving PASI 75 by week 4 (0% in placebo patients [nominal p < 0.001]). A higher proportion of bimekizumab-treated patients achieved DLQI 0/1 at week 16 (46.9% vs. 6.7% in placebo patients, nominal p = 0.007), indicating greater improvements in health-related quality of life (HRQoL) following bimekizumab treatment. Bimekizumab was well-tolerated in Korean patients, with no new safety signals identified. Treatment with bimekizumab led to rapid improvements in clinical responses and HRQoL versus placebo in Korean patients, consistent with responses in global populations. These findings suggest that bimekizumab is an effective and well-tolerated treatment option in Korean patients with psoriasis.

Systemic dysregulation and molecular insights into poor influenza vaccine response in the aging population.

Vaccination-induced protection against influenza is greatly diminished and increasingly heterogeneous with age. We investigated longitudinally (up to five time points) a cohort of 234 vaccinated >65-year-old vaccinees with adjuvanted vaccine FluAd across two independent seasons. System-level analyses of multiomics datasets measuring six modalities and serological data revealed that poor responders lacked time-dependent changes in response to vaccination as observed in responders, suggestive of systemic dysregulation in poor responders. Multiomics integration revealed key molecules and their likely role in vaccination response. High prevaccination plasma interleukin-15 (IL-15) concentrations negatively associated with antibody production, further supported by experimental validation in mice revealing an IL-15-driven natural killer cell axis explaining the suppressive role in vaccine-induced antibody production as observed in poor responders. We propose a subset of long-chain fatty acids as modulators of persistent inflammation in poor responders. Our findings provide a potential link between low-grade chronic inflammation and poor vaccination response and open avenues for possible pharmacological interventions to enhance vaccine responses.

Tuft cells in the intestine, immunity and beyond.

Tuft cells have gained substantial attention over the past 10 years due to numerous reports linking them with type 2 immunity and microorganism-sensing capacity in many mucosal tissues. This heightened interest is fuelled by their unique ability to produce an array of biological effector molecules, including IL-25, allergy-related eicosanoids, and the neurotransmitter acetylcholine, enabling downstream responses in diverse cell types. Operating through G protein-coupled receptor-mediated signalling pathways reminiscent of type II taste cells in oral taste buds, tuft cells emerge as chemosensory sentinels that integrate luminal conditions, eliciting appropriate responses in immune, epithelial and neuronal populations. How tuft cells promote tissue alterations and adaptation to the variety of stimuli at mucosal surfaces has been explored in multiple studies in the past few years. Since the initial recognition of the role of tuft cells, the discovery of diverse tuft cell effector functions and associated feedback loops have also revealed the complexity of tuft cell biology. Although earlier work largely focused on extraintestinal tissues, novel genetic tools and recent mechanistic studies on intestinal tuft cells established fundamental concepts of tuft cell activation and functions. This Review is an overview of intestinal tuft cells, providing insights into their development, signalling and interaction modules in immunity and other states.

COVID-19 Pandemic Effects on Angler Effort and a Brown Trout Population in a Driftless Area Stream in Southeast Minnesota

Abstract Early opinions of the COVID-19 pandemic included equivocal notions of whether the pandemic would result in more or less angler effort and harvest in recreational fisheries. Early papers also suggested using changes in angling license sales to infer changes in angler effort but expressed concern about adequate assessment of pandemic effects on fisheries because of interruptions to routine assessment programs. To assess pandemic effects on angler effort at a stream trout fishery, a trail camera was installed, immediately prior to implementation of a statewide stay-at-home order, at a representative stream trout angling site that is part of a long-term fish monitoring program. The trail camera was deployed through the trout harvest angling season from the peak pandemic year of 2020 through cessation of most restrictions in 2022. Statewide sales of angling licenses and trout stamps were assessed through this time to compare with angler effort measured with the trail camera. Annual trout population assessments were examined for pandemic effects in conjunction with angler effort. Anglers were present on 84% of days in 2020, 66% in 2021 and 69% in 2022. Following the pandemic peak of 603 angler-hours in 2020, angler-hours declined by -23% between 2020 and 2021, and by -16% between 2020 and 2022; whereas statewide sales of licenses and trout stamps only declined by -4% between 2020 and 2021 and -11% between 2020 and 2022, suggesting more angler pressure at the study site than could be inferred by changes in license or trout stamp sales. Higher pressure during the pandemic was due in part to more anglers younger than 20 years old. Despite higher angler pressure in 2020, there was no long-term effect on the Brown Trout population, as adult abundance in 2021 and 2022 exceeded abundance in every year from 2017 to 2020. These data add to a limited number of similar field-based pandemic studies coupling changes in angler use with fish population responses and should provide further insight into the broader assessment of COVID-19 pandemic effects.

Abstract C019: Peripheral Absolute Lymphocyte Count and Breast Cancer Mortality among Racially Diverse Women

Abstract Background: Among patients with triple-negative breast cancer (TNBC), higher tumor infiltrating lymphocytes (TILs) are associated with increased overall mortality (OM) and breast cancer-specific mortality (BCSM). We previously found that low peripheral absolute lymphocyte count (ALC) is associated with increased OM and BCSM in a sample of mostly non-Hispanic White (NHW) patients with TNBC. Here, we investigated the association between low ALC and mortality (OM and BCSM) across different breast cancer subtypes and whether the association is potentially modified by race and ethnicity. Methods: We used the Oncoshare database, which links electronic medical records (EMRs) data to the California Cancer Registry (CCR), and assessed women diagnosed with stage I-III breast cancer between 2000-2017, who had at least one ALC measurement and treated at two healthcare systems in California. Patient and tumor characteristics were obtained from the CCR and laboratory testing from EMRs. Patients with metastatic disease and chemotherapy receipt after one year of diagnosis were excluded. Multivariable logistic models assessed factors associated with “low ALC” (&amp;lt;1 K/µL, ever vs. never). We applied Cox models to evaluate the association between “min ALC” (lowest ALC value after diagnosis) and OM and BCSM within each breast cancer subtype (Luminal A, HER2-enriched, and TNBC), and further explored the interaction between min ALC and race and ethnicity. All models adjusted for low absolute neutrophil count, demographics, and tumor features. Results: Among 10,750 women analyzed, the risk of “low ALC” was associated with TNBC vs Luminal A (odds ratio (OR) 1.22, p=0.0098), older age (OR 1.01 per year, p&amp;lt;0.001), higher grade (grade 3 vs. 1, OR 1.15, p=0.042), higher stage (stage III vs. I, OR 1.81, p&amp;lt;0.001), and public vs. private health insurance (OR 1.29, p&amp;lt;0.001). Cox models showed that higher min ALC was associated with lower OM across breast cancer subtypes (Luminal A: HR 0.37, HER2-enriched: HR 0.32, TNBC: HR 0.22; all p&amp;lt;0.001) and BCSM (Luminal A: HR 0.29, HER2-enriched: HR 0.23, TNBC: HR 0.19; all p&amp;lt;0.001). Interaction analysis showed that race and ethnicity modified the association between min ALC and OM (interaction-p &amp;lt;0.001) and BCSM (interaction-p &amp;lt; 0.001) in the overall cohort; compared to NHW women (HR 0.38, 95% confidence interval [0.34-0.43]), the association between min ALC and OM was stronger among Hispanic (HR 0.24, [0.18-0.33]), Asian (HR 0.19, [0.14-0.25]), and Black (HR 0.21, [0.13-0.35]) women. Similar results were observed for BCSM. Conclusions: Low peripheral ALC, a routinely measured clinical lab result, strongly predicts higher BCSM and OM across breast cancer subtypes, beyond TNBC. The association between min ALC and BCSM/OM was stronger among Black and Asian women vs. NHW women, suggesting that maintaining normal ALC during breast cancer treatment may reduce BCSM and OM, especially for women from racial and ethnic minoritized groups. Future research should investigate differences in ALC, immune response, and BCSM in diverse populations. Citation Format: Candice N. Thompson, Ingrid Luo, Mina Satoyoshi, Lidia Schapira, Esther M. John, Summer S. Han, Allison W. Kurian. Peripheral Absolute Lymphocyte Count and Breast Cancer Mortality among Racially Diverse Women [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr C019.

Contrast gain control is a reparameterization of a population response curve.

Neurons in primary visual cortex (area V1) adapt in varying degrees to the average contrast of the environment, suggesting that the representation of visual stimuli may interact with the state of cortical gain control in complex ways. To investigate this possibility, we measured and analyzed the responses of neural populations in mouse V1 to visual stimuli as a function of contrast in different environments, each characterized by a unique distribution of contrast values. Our findings reveal that, for a fixed stimulus, the population response can be described by a vector function r(gec), where the gain ge is a decreasing function of the mean contrast of the environment. Thus, gain control can be viewed as a reparameterization of a population response curve, which is invariant across environments. Different stimuli are mapped to distinct curves, all originating from a common origin, corresponding to a zero-contrast response. Altogether, our findings provide a straightforward, geometric interpretation of contrast gain control at the population level and show that changes in gain are well-matched among members of a population.

Realistic mossy fiber input patterns to unipolar brush cells evoke a continuum of temporal responses comprised of components mediated by different glutamate receptors.

Unipolar brush cells (UBCs) are excitatory interneurons in the cerebellar cortex that receive mossy fiber (MF) inputs and excite granule cells. The UBC population responds to brief burst activation of MFs with a continuum of temporal transformations, but it is not known how UBCs transform the diverse range of MF input patterns that occur in vivo. Here we use cell-attached recordings from UBCs in acute cerebellar slices to examine responses to MF firing patterns that are based on in vivo recordings. We find that MFs evoke a continuum of responses in the UBC population, mediated by three different types of glutamate receptors that each convey a specialized component. AMPARs transmit timing information for single stimuli at up to 5 spikes/s, and for very brief bursts. A combination of mGluR2/3s (inhibitory) and mGluR1s (excitatory) mediates a continuum of delayed, and broadened responses to longer bursts, and to sustained high frequency activation. Variability in the mGluR2/3 component controls the time course of the onset of firing, and variability in the mGluR1 component controls the duration of prolonged firing. We conclude that the combination of glutamate receptor types allows each UBC to simultaneously convey different aspects of MF firing. These findings establish that UBCs are highly flexible circuit elements that provide diverse temporal transformations that are well suited to contribute to specialized processing in different regions of the cerebellar cortex.

The Response of Insects and Weeds within the Crop to Variation in Sowing Density of Canola

The relationships between weeds and insects in canola stands with different seeding rates are not fully understood. Varying seeding rates in canola crops can create different conditions that affect both weed and insect populations and their interactions. The aim of this work was to determine the response of weeds and insects of selected taxa to different densities of canola stand densities and to clarify the interactions between weeds and insects in canola stands. The field experiment was conducted on a plot located in the cadastral area of the municipality of Pěnčín (Moravia, Czech Republic). The results show that a reduced canola sowing rate of oilseed rape leads to increased weed infestation, which is dominated by one taxon (Papaver rhoeas L.). The increase in weed infestation of canola stands is not reflected in an increase in the diversity of captured insects. Increased canola seeding rate improves weed suppression but increases the number of canola pest insects. A higher number of plants and more canola biomass increase the food supply and, thus, make the stand more attractive to canola pests. The taxon Brassicogethes aeneus dominated the pests species spectrum. Changing the seeding rate of canola results in a response in weed and insect populations. The standard recommended seeding rate is optimal in terms of competitive suppression of weeds and the occurrence of pests and trapped insects. Increasing or decreasing the seeding rate of rapeseed does not bring any benefits in terms of pest regulation or biodiversity. However, the results obtained indicate an interesting weed–insect interaction in the conditions of canola stands.