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Peterson, M.

Publications and source records attributed to Peterson, M..

18 recordsLinked to original sources

Plantago lanceolata and Lolium perenne metabolite profiles, their impact on soil microbial community structures and soil biological nitrification inhibition

Background and aimsExcess nitrate (NO3-), from fertilizer overuse and intensive agriculture, can pollute water and contribute to greenhouse gas production (nitrous oxide - N2O). Plant metabolites from pastural herbs such as Plantago lanceolata (plantain) can inhibit microbial nitrification of ammonium to NO3- (biological nitrification inhibition - BNI) and change soil nitrogen cycle dynamics (lower potential nitrification rate - PNR). The main aim was to investigate differential plant metabolite expression associated with BNI and lowered PNR in different soil types. MethodsSix plantain cultivars were tested for BNI potential and screened for metabolites that correlated with inhibition of the ammonia oxidising bacterium (AOB) Nitrosospira multiformis. PNR and microbiome change was then investigated in four different New Zealand soils under the plantain cultivar Agritonic and ryegrass cultivar One50. ResultsPNR under plantain was 11 to 41% lower than fallow soil while PNR under ryegrass was 0 to 39% lower. In addition to verbascoside and aucubin, plantain metabolites associated with lower PNR included plantamajoside, riboflavin 3- and 5-sulfate, plantagoguanidinic acid. Chlorogenic acid was associated with lowered PNR under ryegrass. PNR reductions, microbiome structure and the ratio of ammonia oxidising archaea (AOA) relative to AOB was modulated by soil type. ConclusionPlantain and ryegrass lowered the PNR in four different soils and was correlated with metabolites beyond just aucubin and verbascoside. Based on candidate BNI-associated metabolites identified, it was hypothesised that lowered PNR is likely indirect through mechanisms such as chelation and appears to be dependent on both plant physiology and soil physicochemistry.

systems biology↗

Linking plantain derived metabolites in sheep urine with nitrification inhibition in soil

Metabolites from Plantago lanceolata (plantain) biomass have been linked with biological nitrification inhibition (BNI) in soil. After grazing, leaf metabolite chemistry is altered via digestion, and a suite of secondary metabolites are then delivered onto soil via dung and urine. The purpose of this study was to establish if urine from sheep grazed on plantain had BNI activity when added to pasture soil, and to identify the metabolite profile(s) that most likely contribute to the BNI effects observed. Groups of sheep (n=5 sheep per group) were grazed on one of nine different plantain cultivars in autumn and spring with analysis of leaf material, urine, soil incubation and BNI bioassay data used to identify potential metabolite candidates implicated with BNI. The urinary nitrogen and metabolite composition of sheep fed plantain varied significantly between cultivars and season. After 28 days of incubation, all soil microcosms treated with plantain-derived urine had up to 35% less nitrate than comparative ryegrass urine controls in both seasons, except one in autumn. The key phytochemistry associated with lower soil nitrate concentrations was phenylethanoid and iridoid glycosides resulting in a higher output of glucuronidated, methylated and sulfated secondary metabolites in the urine. Among 19 secondary metabolites identified in the urine, hydroxytyrosol-related metabolites as well as catechol glucuronide, 2-methoxyphenyl sulfate and guaiacol-{beta}-D-glucuronide appear to be the most likely target compounds with respect to the BNI effects observed. Variation in metabolites from different plantain cultivars affected the ratio of metabolite derivatives in urine, which ultimately affected soil nitrification rates. Cultivar phytochemistry is therefore an important consideration with respect to BNI under urine patches. HighlightsO_LISheep grazing different plantain cultivars had different urine compositions C_LIO_LIUrines elicited biological nitrification inhibition (BNI) in soil and in vitro C_LIO_LIDifferent BNI response was related to differential expression of urine metabolites C_LIO_LIKey urine metabolites associated with BNI are derived from glycosidic compounds C_LI

systems biology↗

Sleeve gastrectomy improves metabolic health, cognition, and Alzheimer's Disease pathology in 3xTG mice

Obesity and diabetes are well-established risk factors for Alzheimers disease (AD), implicating metabolic dysfunction in AD pathogenesis. Sleeve gastrectomy (SG) is among the most effective metabolic interventions available, yet its impact on AD progression remains poorly understood. We hypothesized that SG performed early in life would improve metabolic health, attenuate AD pathology, and preserve cognition in a transgenic AD mouse model. Five-week-old female 3xTg-AD mice were preconditioned on a Western diet (WD) to induce obesity and glucose intolerance, then randomized to SG or sham surgery and maintained on either standard chow or continued WD for 12 months. Metabolic phenotyping, body composition, and cognitive assessments (Novel Object Recognition, Barnes Maze, Fear Conditioning) were performed longitudinally, with histological and molecular analysis of brain tissue at endpoint. Under chow-fed conditions, SG reduced adiposity, improved insulin sensitivity, and decreased cortical A{beta} plaque burden, accompanied by attenuated gliosis (GFAP, IBA1) and region-specific, insulin pathway-dependent modulation of autophagy. Under persistent WD, SG improved metabolic health, frailty, spatial cognition, and A{beta} pathology, again with corresponding perturbations in autophagy pathway activity. Across all groups, food intake did not differ significantly, indicating that these effects were not secondary to caloric restriction. Collectively, these data suggest that SG engages neuroprotective brain insulin signaling pathways, supporting metabolic surgery as a promising disease-modifying intervention for AD prevention in individuals with obesity.

neuroscience↗

Relationship Between Circulating FGF21 and Bone Mineral Density: An Exploratory Study

IntroductionFibroblast growth factor 21 (FGF21) has metabolic regulating effects on the body and exhibits endocrine-like effects on the body. Prior research has indicated that FGF21 may modulate bone density; however, the extent to which FGF21 can alter bone density and the effect of biological sex remains understudied. MethodsA total of 25 individuals (Female = 13, Male =12) volunteered to have their whole body bone density measured using Dual X-Ray Absorptiometry (DEXA) and blood drawn on two separate occasions. Serum samples were analyzed for FGF21 concentration and concentration value was averaged between the two samples, all blood samples were drawn during the mid-follicular phase in female participants. The relationship between FGF21 and markers of bone density was examined using Pearson correlations. ResultsWhole-body BMD (wb-BMD) was negatively correlated with FGF21 across the whole sample (r = -0.53, p < 0.05). When stratifying the sample by biological sex, wb-BMD was negatively correlated with FGF21 in females (r = -0.72, p < 0.05) and in males (r = -0.18, p > 0.05); however, in males this relationship was not statistically significant. ConclusionFGF21 appears to be negatively correlated to bone density in humans with a significant relationship in females but not in males.

physiology↗

Relationship Between Circulating FGF21 and Physiological and Lifestyle Characteristics, an Exploratory Study

Fibroblast growth factor 21 (FGF21) is a biomarker that has been linked to metabolic health. This study was conducted to examine the relationship between FGF21 and its purported upstream regulators and downstream targets in healthy humans. Male and female participants completed three study visits. During visit 1 anthropometrics were measured and a VO2peak test was conducted on a stationary bike. During visits 2 and 3 resting metabolic rate, heart rate, and blood pressure were recorded and a blood sample was taken. Results from visits 2 and 3 were averaged before statistical analysis. Additionally, participants completed a food frequency questionnaire to detail typical diet over the previous month and had three days of measured physical activity and sleep. Moderate correlations between FGF21 and measured sleep (r = 0.34, p = 0.05), saturated fat intake (r = -0.37, p = 0.04), and blood urea nitrogen levels (r = -0.47, p = 0.01) were observed. Additionally, greater intensities of daily physical activity were associated with lower FGF21 levels. Serum FGF21 levels may be influenced by lifestyle variables such as sleep and physical activity, diet, and other circulating biomarkers. Highlights- FGF21 is positively correlated with sleep in healthy humans. - Sugar intake is positively correlated with FGF21 concentrations in humans. - Blood urea nitrogen concentrations are negatively correlated with FGF21 in humans.

physiology↗

The formation and propagation of human Robertsonian chromosomes

Robertsonian chromosomes are a type of variant chromosome found commonly in nature. Present in one in 800 humans, these chromosomes can underlie infertility, trisomies, and increased cancer incidence. Recognized cytogenetically for more than a century, their origins have remained mysterious. Recent advances in genomics allowed us to assemble three human Robertsonian chromosomes completely. We identify a common breakpoint and epigenetic changes in centromeres that provide insight into the formation and propagation of common Robertsonian translocations. Further investigation of the assembled genomes of chimpanzee and bonobo highlights the structural features of the human genome that uniquely enable the specific crossover event that creates these chromosomes. Resolving the structure and epigenetic features of human Robertsonian chromosomes at a molecular level paves the way to understanding how chromosomal structural variation occurs more generally, and how chromosomes evolve.

genomics↗

Chronic intermittent alcohol yields sex-specific disruptions in cortical-striatal-limbic oscillations

BackgroundWhile the neurobiology of alcohol use disorder (AUD) has been extensively researched, the vast majority of these studies included only male organisms. However, there are significant sex differences in both the causes and consequences of alcohol misuse and dependence, suggesting sex-specific neurobiological mechanisms. The current study used a rodent model to determine whether chronic alcohol exposure impacts sex-specific neural circuits, and whether these changes contribute to the development of alcohol misuse. MethodsMale and female Sprague-Dawley rats were trained to self-administer 10% alcohol before implanting bilateral electrodes into the infralimbic medial prefrontal cortex (IL), nucleus accumbens shell (NAcSh), and central nucleus of the amygdala (CeA). Half of the rats were then exposed to four weeks of chronic intermittent alcohol (CIA) vapor (14 hours on/10 hours off). During acute withdrawal (6-8 after the vapor turns off), local field potentials (LFPs) were recorded from the IL, NAcSh, and CeA during 30-minute self-administration sessions. Using an unbiased machine learning approach, we built predictive models to determine whether/which LFP features could distinguish CIA-exposed from control rats in each sex, as well as if any of these LFP features correlated with rates of alcohol self-administration. ResultsFemale rats self-administered more alcohol in general compared to males, but only males exposed to CIA showed increased alcohol intake during acute withdrawal. LFPs predicted CIA exposure in both sexes better than chance estimates, but models built on IL and NAcSh oscillations performed the best in males, while models built on IL and CeA LFPs performed best in females. High {gamma} LFPs recorded in the NAcSh correlated with rates of alcohol self-administration in males exposed to CIA, while only left-right NAcSh {beta} coherence correlated with drinking in control females. ConclusionsThese data provide support for the hypothesis that the neural circuits driving alcohol dependence development are sex-specific, and that high frequency oscillations in the NAcSh may be related to the increased drinking observed in males exposed to CIA. Overall, these data add to our understanding of the neurobiological underpinnings behind the sex differences observed in AUD and offer promising biomarkers for future therapeutic research.

neuroscience↗

Parsing Brain Network Specialization: A Replication and Expansion of Wang et al. (2014)

One organizing principle of the human brain is hemispheric specialization, or the dominance of a specific function or cognitive process in one hemisphere or the other. Previously, Wang et al. (2014) identified networks putatively associated with language and attention as being specialized to the left and right hemispheres, respectively; and a dual-specialization of the executive control network. However, it remains unknown which networks are specialized when specialization is examined within individuals using a higher resolution parcellation, as well as which connections are contributing the most to a given networks specialization. In the present study, we estimated network specialization across three datasets using the autonomy index and a novel method of deconstructing network specialization. After examining the reliability of these methods as implemented on an individual level, we addressed two hypotheses. First, we hypothesized that the most specialized networks would include those associated with language, visuospatial attention, and executive control. Second, we hypothesized that within-network contributions to specialization would follow a within-between network gradient or a specialization gradient. We found that the majority of networks exhibited greater within-hemisphere connectivity than between-hemisphere connectivity. Among the most specialized networks were networks associated with language, attention, and executive control. Additionally, we found that the greatest network contributions were within-network, followed by those from specialized networks. Significance StatementHemispheric specialization is a characteristic of brain organization that describes when a function draws on one hemisphere of the brain more than the other. We sought to identify the most specialized brain networks within individuals, as well as which connections contribute the most to a given networks specialization. Among the most specialized networks were those associated with language, attention, and executive control. Unexpectedly, we also identified networks associated with emotion/memory and theory of mind as highly specialized. Additionally, we found support for guiding principles of brain organization generally, such that within-network connections contributed most to a given networks specialization followed by connections from other specialized networks. These results have implications for identifying potential variations of network contributions in individuals with neurodevelopmental conditions.

neuroscience↗

Reduced Lateralization of Multiple Functional Brain Networks in Autistic Males

BackgroundAutism spectrum disorder has been linked to a variety of organizational and developmental deviations in the brain. One such organizational difference involves hemispheric lateralization, which may be localized to language-relevant regions of the brain or distributed more broadly. MethodsIn the present study, we estimated brain hemispheric lateralization in autism based on each participants unique functional neuroanatomy rather than relying on group-averaged data. Additionally, we explored potential relationships between the lateralization of the language network and behavioral phenotypes including verbal ability, language delay, and autism symptom severity. We hypothesized that differences in hemispheric asymmetries in autism would be limited to the language network, with the alternative hypothesis of pervasive differences in lateralization. We tested this and other hypotheses by employing a cross-sectional dataset of 118 individuals (48 autistic, 70 neurotypical). Using resting-state fMRI, we generated individual network parcellations and estimated network asymmetries using a surface area-based approach. A series of multiple regressions were then used to compare network asymmetries for eight significantly lateralized networks between groups. ResultsWe found significant group differences in lateralization for the left-lateralized Language (d = -0.89), right-lateralized Salience/Ventral Attention-A (d = 0.55), and right-lateralized Control-B (d = 0.51) networks, with the direction of these group differences indicating less asymmetry in autistic individuals. These differences were robust across different datasets from the same participants. Furthermore, we found that language delay stratified language lateralization, with the greatest group differences in language lateralization occurring between autistic individuals with language delay and neurotypical individuals. LimitationsThe generalizability of our findings is restricted due to the male-only sample and greater representation of individuals with high verbal and cognitive performance. ConclusionsThese findings evidence a complex pattern of functional lateralization differences in autism, extending beyond the Language network to the Salience/Ventral Attention-A and Control-B networks, yet not encompassing all networks, indicating a selective divergence rather than a pervasive one. Furthermore, a differential relationship was identified between Language network lateralization and specific symptom profiles (namely, language delay) of autism.

neuroscience↗

Evidence for a Compensatory Relationship between Left- and Right-Lateralized Brain Networks

The two hemispheres of the human brain are functionally asymmetric. At the network level, the language network exhibits left-hemisphere lateralization. While this asymmetry is widely replicated, the extent to which other functional networks demonstrate lateralization remains a subject of investigation. Additionally, it is unknown how the lateralization of one functional network may affect the lateralization of other networks within individuals. We quantified lateralization for each of 17 networks by computing the relative surface area on the left and right cerebral hemispheres. After examining the ecological, convergent, and external validity and test-retest reliability of this surface area-based measure of lateralization, we addressed two hypotheses across multiple datasets (Human Connectome Project = 553, Human Connectome Project-Development = 343, Natural Scenes Dataset = 8). First, we hypothesized that networks associated with language, visuospatial attention, and executive control would show the greatest lateralization. Second, we hypothesized that relationships between lateralized networks would follow a dependent relationship such that greater left-lateralization of a network would be associated with greater right-lateralization of a different network within individuals, and that this pattern would be systematic across individuals. A language network was among the three networks identified as being significantly left-lateralized, and attention and executive control networks were among the five networks identified as being significantly right-lateralized. Next, correlation matrices, an exploratory factor analysis, and confirmatory factor analyses were used to test the second hypothesis and examine the organization of lateralized networks. We found general support for a dependent relationship between highly left-and right-lateralized networks, meaning that across subjects, greater left lateralization of a given network (such as a language network) was linked to greater right lateralization of another network (such as a ventral attention/salience network) and vice versa. These results further our understanding of brain organization at the macro-scale network level in individuals, carrying specific relevance for neurodevelopmental conditions characterized by disruptions in lateralization such as autism and schizophrenia.

neuroscience↗

Automated tumor immunophenotyping predicts clinical benefit from anti-PD-L1 immunotherapy

BackgroundCancer immunotherapy has transformed the clinical approach to patients with malignancies as profound benefits can be seen in a subset of patients. To identify this subset, biomarker analyses increasingly focus on phenotypic and functional evaluation of the tumor microenvironment (TME) to determine if density, spatial distribution, and cellular composition of immune cell infiltrates can provide prognostic and/or predictive information. Attempts have been made to develop standardized methods to evaluate immune infiltrates in the routine assessment of certain tumor types; however, broad adoption of this approach in clinical decision-making is still missing. MethodsWe developed approaches to categorize solid tumors into "Desert", "Excluded" and "Inflamed" types according to the spatial distribution of CD8+ immune effector cells to determine the prognostic and/or predictive implications of such labels. To overcome the limitations of this subjective approach we incrementally developed four automated analysis pipelines of increasing granularity and complexity for density and pattern assessment of immune effector cells. ResultsWe show that categorization based on "manual" observation is predictive for clinical benefit from anti-programmed cell death ligand-1 (PD-L1) therapy in two large cohorts of patients with non-small cell lung cancer (NSCLC) or triple-negative breast cancer (TNBC). For the automated analysis we demonstrate that a combined approach outperforms individual pipelines and successfully relates spatial features to pathologist-based read-outs and patient response to therapy. ConclusionsOur findings suggest tumor immunophenotype (IP) generated by automated analysis pipelines should be evaluated further as potential predictive biomarkers for cancer immunotherapy. What is already known on this topicClinical benefit from checkpoint inhibitor-targeted therapies is realized only in a subset of patients. Robust biomarkers to identify patients who may respond to such therapies are needed. What this study addsWe have developed manual and automated approaches to categorize tumors into immunophenotypes based on the spatial distribution of CD8+ T effector cells that predict clinical benefit from anti-PD-L1 immunotherapy for patients with advanced non-small cell lung cancer or triple-negative breast cancer. How this study might affect research, practice or policyTumor immunophenotypes should be further validated as predictive biomarker for checkpoint inhibitor-targeted therapies in prospective clinical studies.

pathology↗

VALPROIC ACID AFFECTS NEURONAL SPECIFICATION AND DIFFERENTIATION DURING EARLY OPTIC TECTUM DEVELOPMENT OF ZEBRAFISH

The mammalian superior colliculus and its non-mammalian homolog, the optic tectum (OT), are midbrain structures that integrate multimodal sensory inputs and guide non-voluntary movements in response to prevalent stimuli. Recent studies have implicated this structure as a possible site affected in Autism Spectrum Disorder (ASD). Interestingly, fetal exposure to valproic acid (VPA) has also been associated with an increased risk of ASD in humans and animal models. Therefore, we took the approach of determining the effects of VPA treatment on zebrafish OT development as a first step in identifying the mechanisms that allow its formation. We describe the normal OT development during the first 5 days of development and show that in VPA treated embryos, while proliferation of the OT neuroepithelium continued, neuronal specification stalled. This was followed by impairment of neurite extension and complexity, suggesting that in addition to neurogenesis, VPA treatment affects axonogenesis and dendritogenesis. VPA treatment was most detrimental during the first three days of development and did not appear to be linked to oxidative stress. In conclusion, our work provides a foundation for research into mechanisms driving OT development, as well as the relationship between the OT, VPA, and ASD.

developmental biology↗

Broadly neutralizing antibodies target the coronavirus fusion peptide

The potential for future coronavirus outbreaks highlights the need to develop strategies and tools to broadly target this group of pathogens. Here, using an epitope-agnostic approach, we identified six monoclonal antibodies that bound to spike proteins from all seven human-infecting coronaviruses. Epitope mapping revealed that all six antibodies target the conserved fusion peptide region adjacent to the S2 cleavage site. Two antibodies, COV44-62 and COV44-79, broadly neutralize a range of alpha and beta coronaviruses, including SARS-CoV-2 Omicron subvariants BA.1 and BA.2, albeit with lower potency than RBD-specific antibodies. In crystal structures of Fabs COV44-62 and COV44-79 with the SARS-CoV-2 fusion peptide, the fusion peptide epitope adopts a helical structure and includes the arginine at the S2 cleavage site. Importantly, COV44-79 limited disease caused by SARS-CoV-2 in a Syrian hamster model. These findings identify the fusion peptide as the target of the broadest neutralizing antibodies in an epitope-agnostic screen, highlighting this site as a candidate for next-generation coronavirus vaccine development. One-Sentence SummaryRare monoclonal antibodies from COVID-19 convalescent individuals broadly neutralize coronaviruses by targeting the fusion peptide.

immunology↗

Ultrapotent bispecific antibodies neutralize emerging SARS-CoV-2 variants

The emergence of SARS-CoV-2 variants that threaten the efficacy of existing vaccines and therapeutic antibodies underscores the urgent need for new antibody-based tools that potently neutralize variants by targeting multiple sites of the spike protein. We isolated 216 monoclonal antibodies targeting SARS-CoV-2 from plasmablasts and memory B cells of COVID-19 patients. The three most potent antibodies targeted distinct regions of the RBD, and all three neutralized the SARS-CoV-2 variants B.1.1.7 and B.1.351. The crystal structure of the most potent antibody, CV503, revealed that it binds to the ridge region of SARS-CoV-2 RBD, competes with the ACE2 receptor, and has limited contact with key variant residues K417, E484 and N501. We designed bispecific antibodies by combining non-overlapping specificities and identified five ultrapotent bispecific antibodies that inhibit authentic SARS-CoV-2 infection at concentrations of <1 ng/mL. Through a novel mode of action three bispecific antibodies cross-linked adjacent spike proteins using dual NTD/RBD specificities. One bispecific antibody was >100-fold more potent than a cocktail of its parent monoclonals in vitro and prevented clinical disease in a hamster model at a 2.5 mg/kg dose. Notably, six of nine bispecific antibodies neutralized B.1.1.7, B.1.351 and the wild-type virus with comparable potency, despite partial or complete loss of activity of at least one parent monoclonal antibody against B.1.351. Furthermore, a bispecific antibody that neutralized B.1.351 protected against SARS-CoV-2 expressing the crucial E484K mutation in the hamster model. Thus, bispecific antibodies represent a promising next-generation countermeasure against SARS-CoV-2 variants of concern.

immunology↗

Assessment of Operant Learning and Memory in Mice Born through Intracytoplasmic Sperm Injection

Study questionAre there differences in operant learning and memory between mice born through intracytoplasmic sperm injection (ICSI) and naturally-conceived control (CTL) mice? Summary answerICSI females exhibited deficits in acquisition learning relative to CTL females, whereas ICSI males exhibited deficiency in discrimination learning and memory relative to CTL males during initial assessments. ICSI and CTL groups exhibited equally poor long-term retention of learned discrimination and memory performances at old age. What is known alreadySome human outcome studies have suggested that ICSI might be associated with an increased risk of certain cognitive disorders, but only one of two behavioral studies with ICSI mouse models have reported differences between ICSI and CTL females. No studies to date have investigated associative learning in ICSI mice. Study design, size, duration36 ICSI mice (18 male, 18 female) and 37 CTL mice (19 male, 18 female) aged 3-6 months were compared in a series of operant learning procedures that assessed acquisition of a new behavior, discrimination learning, and memory. 16 ICSI mice (9 male, 7 female) and 17 CTL mice (10 males, 7 females) received follow-up discrimination learning and memory assessments at 12 months of age (six months after the end of initial training) to evaluate retention and reacquisition of learned performances. Participants/materials, setting, methodsMice received daily operant learning sessions in experimental chambers in which all stimulus events and the recording of responses were automated. Food rewards were delivered for responding under different conditions of reinforcement, which varied by procedure. Subjects received a successive series of sessions of nose poke acquisition training, discrimination training, and the delayed non-matching-to-position (DNTMP) memory procedure. Mixed repeated measures ANOVAs in which the between-subjects factor was group (ICSI vs. CTL) and the within-subjects factor was repeated exposures to learning procedures (i.e., sessions) were used to analyze data. Main results and the role of chanceIn comparisons between all mice (i.e., males and females combined), CTL mice exhibited superior performance relative to ICSI in response acquisition (p = 0.03), discrimination (p = 0.001), and memory (p = 0.007). Sex-specific comparisons between the groups yielded evidence of sexual dimorphism. ICSI females exhibited a deficit in acquisition learning relative to CTL females (p < 0.001) but there was not a significant difference between CTL and ICSI males. In the discrimination and memory tasks, ICSI males exhibited deficits relative to CTL males (p = 0.002 and p = 0.02, respectively) but the differences between females in these tasks were not significant. There was no difference in discrimination or memory retention/re-acquisition assessments conducted with mice at 12 months of age. ICSI males and females weighed significantly more than CTL counterparts at all points during the experiment. Limitations, reasons for cautionThe study was not blinded. All learning assessments utilized food reward; other assessments of operant, Pavlovian, and nonassociative learning are needed to fully characterize learning in ICSI mice and speculate regarding the implications for cognitive function in humans conceived via ICSI. Wider implications of the findingsStudying learning and memory processes in mouse models has the potential to shed light on ICSI outcomes at the level of cognitive function. Future research should use multiple learning paradigms, assess both males and females, and investigate the effects of variables related to the ICSI procedure. Studying cognitive function in ICSI is an interdisciplinary endeavor and requires coordination between researchers at the genetic and psychological levels of analysis. Study funding/competing interest(s)This work was supported, in part, by grants from NIH (P30GM110767, HD071736 and HD085506 to WY), the Templeton Foundation (Grant ID: 61174 to WY), and a New Scholarly Endeavor Grant from the University of Nevada, Reno Office of Research and Innovation (to ML, YW, HZ, LH, and WY). The authors declare no competing interests.

genetics↗

Vibrotactile perception in the sole of the foot in people with normal glucose tolerance and type 2 diabetes

AimTo evaluate vibrotactile perception thresholds in people with normal glucose tolerance (NGT) and type 2 diabetes (T2DM) in relation to other sensory tests. MethodsNerve function was evaluated in 36 and 42 participants with NGT and T2DM, respectively [mean age 70.0 (1.2) years; males n=40, females n=38]. The mean duration of T2DM was 12.3 (7.3) years. Vibration perception thresholds were measured at four frequencies (8, 16, 32 and 125 Hz) bilaterally on the sole of the foot at first and fifth metatarsal heads using Multifrequency vibrametry and compared to vibration perception thresholds using Biothesiometer (128 Hz) bilaterally (medial malleolus and distal dorsal bony surface of great toes), touch sensation with Semmes-Weinstein monofilament bilaterally (10 g) at three sites on the sole of foot (distal great toe and 1st and 5th metatarsal heads), electrophysiology (amplitude and conduction velocity of sural nerve; right side) and thermal sensory testing (i.e. small diameter nerve fibers; method of limits using Thermotest(R)). ResultsVibration perception and temperature thresholds in the foot and sural nerve function were different between the NGT and T2DM categories. Measuring vibration perception thresholds at lower frequencies with Multifrequency vibrametry, compared to Biothesiometer, both provided similar correlations to the amplitude of the sural nerve. Temperature thresholds did also correlate with vibration perception thresholds and with sural nerve function. Only 4/42 participants with T2DM showed pathology by monofilament test, none with NGT. ConclusionsVibration perception thresholds have a fair correlation to amplitude of the sural nerve, even when measured at a non-tactile surface. Thus in the present study, measuring vibration perception threshold at a tactile surface does not seem to provide any clear advantage over the traditional way of measuring vibration perception on the medial malleolus. In people with T2DM, both large and small diameter nerve fibers seem to be affected.

neuroscience↗

The fungal-specific Hda2 and Hda3 proteins regulate morphological switches in the human fungal pathogen Candida albicans.

The human fungal pathogen Candida albicans is responsible for millions of infections annually. Due to the few available anti-fungal drugs and the increasing incidence of drug resistance, the number of C. albicans infections is dramatically increasing. Morphological switches, such as the white-opaque switch and the yeast-hyphae switch, are key for the development of C. albicans pathogenic traits. Lysine deacetylases are emerging as important regulators of morphological switches. Yet, targeting lysine deacetylases for drug development is problematic due to the high homology between the fungal and human proteins that could result in toxicity. Here we provide evidence that the fungal specific proteins Hda2 and Hda3 interact with the lysine deacetylase Hda1. By combining phenotypic analyses with genome-wide transcriptome analyses, we demonstrate that Hda2 and Hda3 control C. albicans morphological switches. Under nutrient-rich conditions, deletion of HDA2 or HDA3 leads to moderate overexpression of the master regulator of white-opaque switching WOR1 and increase switching frequency. Under hyphae inducing conditions, deletion of HDA2 and HDA3 block hyphae development. However, deletion of HDA2 and HDA3 does not affect hyphae-formation and virulence in vivo. We propose that Hda2 and Hda3 are good targets for the development of anti-fungal drugs to be used in combination therapy.

microbiology↗

The effect of chronic and acute stressors, and their interaction, on gonadal function: an experimental test during gonadal recrudescence

Organisms are expected to invest less in reproduction in response to a stressor, but theory predicts that this effect should depend on the frequency of stressors in the environment. Here we investigated how an acute stressor affected gonadal function in a songbird, and how long-term differences in the stress environment influenced these acute stress responses. We exposed male Dark-eyed Juncos (Junco hyemalis) either to chronic or minimal (control) disturbance during gonadal recrudescence, after which we measured baseline testosterone, testosterone after an acute handling stressor, and the ability to elevate testosterone in response to hormonal stimulation. In a 2x2 design, we then euthanized males from the two chronic treatment groups either immediately or after an acute stressor to investigate the effect of these treatments on the gonadal transcriptome. We found that chronically disturbed birds had marginally lower testosterone. The acute stressor suppressed testosterone in control birds, but not in the chronic disturbance group. The ability to elevate testosterone did not differ between the chronic treatments. Surprisingly, chronic disturbance had a weak effect on the testicular transcriptome, and did not affect transcriptomic response to the acute stressor. The acute stressor, on the other hand, upregulated cellular stress response, and affected expression of genes associated with hormonal stress-response. Overall, we show that both chronic and acute stressors affect reproductive function, and that chronic stress changes how acute stressors affect testosterone physiology. Our findings also suggest that acute and chronic stressors affect testes differently, and that gonadal function is relatively robust to long-term stressors.\n\nSummary statementAn acute stressor downregulated testosterone production, but this effect was absent in chronically disturbed birds. The acute stressor had a strong effect on the gonadal transcriptome, whereas chronic disturbance had a negligible effect.

physiology↗