Search PubMed⌕ Search

SEARCH · Search PubMed

Results for “predictability of adaptation”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 667 records · Page 37Linked to original sources

Habitat selection, acoustic adaptation, and the evolution of reproductive isolation.

We examined barriers to gene flow in a hybrid zone of two subspecies of the song sparrow (Melospiza melodia). We focused on how mating signals and mate choice changed along an environmental gradient and gathered data on the morphology, genetics, ecology, and behavior across the zone. Melospiza m. heermanni of the Pacific slope of California and M. m. fallax of the Sonoran Desert, each distinct in plumage, meet across a steep environmental gradient in southeastern California. Although both subspecies occur in riparian habitat, their occupied habitat differs structurally, the former subspecies occurring in areas with denser understory and greater vertical heterogeneity. Song elements varied concomitantly, as predicted by the acoustic adaptation hypothesis, with heermanni having lower-pitched, more widely spaced elements. Females of both subspecies responded more strongly to homotypic than heterotypic song, and addition of subspecific plumage cues increased response if song was homotypic but not if heterotypic. Females thus assess multiple male traits, weighing song more heavily. Males of both subspecies showed significantly greater agonistic response to homotypic song. Microsatellite variation is correlated significantly with plumage variation across the zone and suggests limited gene flow between the taxa. The association of song and plumage with the environment and in turn with assortative mating suggests a means by which reproductive isolation may evolve or be maintained in hybrid zones.

Adaptation, Physiological↗

Genetically diverse populations hold the keys to climatic adaptation in the Western barn owl (Tyto alba).

Although local adaptation influences species distributions, its role in driving evolutionary resilience under climate change remains unclear. Current predictive models focus on genetic adaptation to present climates, providing limited insight into future adaptive capacity. We hypothesise that historical responses to climatic shifts can reveal candidate loci for local adaptation in the future. Combining ecological niche modelling and genomic analyses, we investigate spatiotemporal patterns and mechanisms of local adaptation of the Western Palearctic barn owl (Tyto alba). Ecological modelling reveals that barn owls now occupy a broader climatic niche than during the Last Glacial Maximum. Genomic analyses indicate ongoing adaptation, with regions under selection linked to environmental factors across all populations. We find that local adaptation drives evolutionary changes across populations, enabling colonisation of new habitats and shaping responses to climate change in resident populations. We show that standing genetic diversity plays a crucial role in adaptation to past, present, and future environmental shifts.

Animals↗

Accelerated autoantibody clearance by intravenous immunoglobulin therapy: studies in experimental models to determine the magnitude and time course of the effect.

Recently, it has been postulated that the beneficial effect of intravenous immunoglobulins (IVIGs) in antibody-mediated autoimmune disorders is based on accelerated catabolism of autoantibodies. In the current study, in vivo experiments were performed with mice in which autoantibody production was mimicked by continuous infusion of monoclonal antibodies. In this model, a single dose of IVIG reduced the plasma concentrations of the infused immunoglobulin (Ig)G1 monoclonal antibody (mAb) by approximately 40% after 3 days, whereas the concentration of an IgA mAb was not affected. To extrapolate these findings to humans, a computational model for IgG clearance was established that accurately predicted the time course and magnitude of the decrease in IgG plasma levels observed in mice. Adapted for humans, this model predicted a gradually occurring decrease in autoantibody levels after IVIG administration (2 g/kg), with a maximum reduction of approximately 25% after 3 to 4 weeks and a continued decrease of several months. In conclusion, a single high dose of IVIG induces a relatively small but long-lasting reduction of autoantibody levels by accelerated IgG clearance. This mechanism has clinical relevance in the sense that it can fully explain, as the sole mechanism, the gradual decrease in autoantibody levels observed in several patient studies. However, in some clinical studies, larger or more rapid effects have been observed that cannot be explained by accelerated clearance. Hence, IVIG can also reduce autoantibody levels through mechanisms such as down-regulation of antibody production or neutralization by anti-idiotypic antibodies.

Animals↗

Defense mechanisms and personality in depression.

There is a longstanding belief that personality represents a structure that is stable over time, and changes, if at all, very slowly. Nonetheless, clinical and empirical evidence suggests that in patients with some Axis I disorders, the rate of personality disorders using DSM criteria decreases after treatment, suggesting that personality as assessed by phenomenological systems is state-dependent. An alternative to the DSM phenomenological system of conceptualizing personality is the dynamic concept of character, that is, a predictable pattern of both adaptive and pathological defense mechanisms, and personality organization comprised of object relations, ego strengths, and superego development. Data from this study address the hypothesis that defense mechanisms and personality organization remain relatively stable in patients treated for Axis I disorders, irrespective of clinical improvement. Patients meeting DSM-IV criteria for major depressive disorder (MDD) entered randomized, controlled medication trials. Defensive functioning was evaluated with the Defense Style Questionnaire (DSQ) [Bond et al., 1983: Arch Gen Psychiatry 40:333-338], and personality organization was assessed with the Inventory of Personality Organization (IPO; Clarkin et al., unpublished), both at baseline and at the completion of the clinical trial. Data were analyzed for whether an individual's pattern of defense mechanisms and personality organization were stable over time regardless of response to treatment of MDD. The question was also asked whether a predominant pattern of defense mechanisms or level of personality organization predicts response to treatment or dropout rate. Among treatment responders, nonresponders and drop-outs, baseline DSQ scores were similar except for "image-distorting" defenses, which were significantly more prevalent among drop-outs compared to responders (P = .016). Post-treatment DSQ values revealed a significant decrease in "maladaptive" defenses (P = .01) in the entire sample, while intermediate and "adaptive" defenses remained unchanged. This same pattern was found to hold true in treatment responders. When comparing treatment responders and nonresponders at the end of the trial, medication responders used significantly less "maladaptive" defenses than did nonresponders (P = .003), and had a significantly higher, or healthier level of "overall defensive functioning" (P = .04). Baseline and post-treatment IPO values did not show significant differences. Results of the study address the question of whether there are personality characteristics that are enduring and that can be appreciated irrespective of an Axis I disorder.

Adult↗

Interacting adaptive processes with different timescales underlie short-term motor learning.

Multiple processes may contribute to motor skill acquisition, but it is thought that many of these processes require sleep or the passage of long periods of time ranging from several hours to many days or weeks. Here we demonstrate that within a timescale of minutes, two distinct fast-acting processes drive motor adaptation. One process responds weakly to error but retains information well, whereas the other responds strongly but has poor retention. This two-state learning system makes the surprising prediction of spontaneous recovery (or adaptation rebound) if error feedback is clamped at zero following an adaptation-extinction training episode. We used a novel paradigm to experimentally confirm this prediction in human motor learning of reaching, and we show that the interaction between the learning processes in this simple two-state system provides a unifying explanation for several different, apparently unrelated, phenomena in motor adaptation including savings, anterograde interference, spontaneous recovery, and rapid unlearning. Our results suggest that motor adaptation depends on at least two distinct neural systems that have different sensitivity to error and retain information at different rates.

Adaptation, Physiological↗

Effects of temporal and spatial variation in habitat quality on red squirrel dispersal behaviour

Immigration patterns and the frequency of breeding dispersal in tree squirrels are predicted to be related to the amount of temporal and spatial variation in tree seed crops, their primary food supply. We studied Eurasian red squirrel, Sciurus vulgarisdispersal patterns in a stable habitat with predictable food supply and a variable habitat with large temporal and spatial variations in food availability. In both habitats, we observed a male-biased immigration in spring and a female-biased immigration in autumn. However, there were more adults among immigrating red squirrels in the variable (66%) than the stable (31%) habitat and large differences in the extent of site fidelity between the two squirrel populations. Multivariate analyses indicate that food availability appeared to be the main factor affecting female dispersal behaviour. The data also suggest that female red squirrel dispersal patterns are an adaptive response to the predictability of food resources in space and time. Male dispersal behaviour seemed to be influenced by the distribution of the females. Their level of site fidelity was high in the stable habitat, whereas they appeared to track the movement of females in the variable habitat.

Journal Article↗

The Apache III prognostic system: customized mortality predictions for Spanish ICU patients.

OBJECTIVE: To customize the Acute Physiology and Chronic Health Evaluation (APACHE) III mortality equation for Spanish admissions to the intensive care unit (ICU) and evaluate its discrimination and calibration. DESIGN: Prospective multicenter inception cohort study. SETTING: 86 ICUs located in all regions of Spain. PATIENTS: 10,929 adult patients selected by a systematic sampling method. All types of critical care patients were included, including coronary bypass patients, but excluding those with burn injury, those admitted for pacemaker implants, patients under 16 years of age, and patients with length of ICU stay < 6 h. MEASUREMENTS AND RESULTS: Data collection in the first 24 h after patient admission included: APACHE III score, treatment location prior to ICU admission, and main ICU admission diagnosis. Using these variables, a model for predicting hospital mortality was constructed, adapted to Spain, and its discriminating ability was assessed by the area below the ROC curve, which was 0.83. The model was validated using the jacknife method and the area below the receiver operating characteristic (ROC) curve for the cross-validated predictions was 0.82. The percentage of patients correctly classified at 0.50 risk of death was 82.3%. Model calibration was evaluated by analysis of the agreement between the observed and cross-validated predicted mortality using the Hosmer-Lemeshow test, which gave a value of (H) 12.27, with no statistical significance, i.e., good calibration. CONCLUSIONS: We have customized the APACHE III mortality prediction system for the Spanish population. This adapted model has demonstrated the requisite validation, calibration, and discrimination for its use among Spanish critical care patients.

APACHE↗

A multi-feature and multi-channel univariate selection process for seizure prediction.

OBJECTIVE: To develop a prospective method for optimizing seizure prediction, given an array of implanted electrodes and a set of candidate quantitative features computed at each contact location. METHODS: The method employs a genetic-based selection process, and then tunes a probabilistic neural network classifier to predict seizures within a 10 min prediction horizon. Initial seizure and interictal data were used for training, and the remaining IEEG data were used for testing. The method continues to train and learn over time. RESULTS: Validation of these results over two workshop patients demonstrated a sensitivity of 100%, and 1.1 false positives per hour for Patient E, using a 2.4s block predictor, and a failure of the method on Patient B. CONCLUSIONS: This study demonstrates a prospective, exploratory implementation of a seizure prediction method designed to adapt to individual patients with a wide variety of pre-ictal patterns, implanted electrodes and seizure types. Its current performance is limited likely by the small number of input channels and quantitative features employed in this study, and segmentation of the data set into training and testing sets rather than using all continuous data available. SIGNIFICANCE: This technique theoretically has the potential to address the challenge presented by the heterogeneity of EEG patterns seen in medication-resistant epilepsy. A more comprehensive implementation utilizing all electrode sites, a broader feature library, and automated multi-feature fusion will be required to fully judge the method's potential for predicting seizures.

Algorithms↗

Metabolic demands for amino acids and the human dietary requirement: Millward and rRvers (1988) revisited.

In 1988, Millward and Rivers reappraised existing metabolic models for amino acid requirements. The metabolic demand for amino acids was reviewed in relation to both obligatory metabolic consumption and adaptive pathways of amino acid oxidation. The obligatory demand pattern was deemed unknowable from first principles except that the level of one amino acid would be similar to its concentration in an amount of tissue protein equivalent to the obligatory nitrogen loss. The adaptive demand pattern was predicted to vary in relation to the amount and the periodicity of food protein intake that influenced the amplitude of the diurnal cycle of gains and losses. A regulatory influence of protein intake on anabolism, the anabolic drive, was identified in animal studies; benefit appeared to derive from intakes in excess of the minimum for balance, which could facilitate definition of an optimal requirement. The inherent and design-related limitations of both nitrogen and stable isotope balance studies of requirement were recognized as a major problem in identifying secure values for indispensable amino acid requirements. A decade of research of increasing methodological sophistication has generated much new information, confirming the adaptive diurnal model of balance regulation and allowing development of the anabolic drive into a general protein-stat theory for coordinated control of growth and maintenance of the lean body mass. However, notwithstanding several new estimates of amino acid requirement values, definition of a widely accepted human amino acid requirement pattern remains unresolved. Although a case can be made for an adjusted 1985 FAO adult requirement pattern being a reasonable estimate of the obligatory indispensable amino acid requirements for human maintenance, the problems posed by adaptation, methodological inadequacies and lack of independent measures of adequacy mean that assessment of the adequacy of the human diet to satisfy amino acid needs remains inherently difficult.

Adult↗

Cerebellar iTBS enhances gait adaptation by modulating cortical sensorimotor network dynamics: a randomized controlled trial.

Gait adaptation enables individuals to maintain locomotor stability under persistent perturbations. Although the cerebellum is critical for sensory prediction error-based (SPE) adaptation, how cerebellar neuromodulation reshapes cortical sensorimotor networks to enhance gait adaptation remains unclear. This study investigated the behavioral effects and underlying cortical neurodynamic mechanisms of cerebellar intermittent theta-burst stimulation (iTBS) on gait adaptation. Thirty-two healthy adults received either active or sham cerebellar iTBS. Participants performed a split-belt treadmill adaptation task before and after intervention. Cortical responsiveness was evaluated using TMS-evoked EEG over primary motor cortex (M1), while resting-state EEG was analyzed to assess spectral power and directional functional connectivity. Compared to sham, cerebellar iTBS significantly enhanced gait adaptation, evidenced by a faster adaptation rate (p&#x202f;=&#x202f;0.035) and enhanced Early Adaptation SLS (p&#x202f;=&#x202f;0.011), without altering initial perturbation responses or post-adaptation outcomes. The iTBS increased TMS-evoked &#x3b1; (p&#x202f;=&#x202f;0.031) and &#x3b3; (p&#x202f;=&#x202f;0.022) power in M1, while the &#x3b1; power was correlated with faster adaptation (r&#x202f;=&#x202f;0.526, p&#x202f;=&#x202f;0.002). Furthermore, iTBS strengthened PPC-to-M1 directed connectivity in the &#x3b2; (p&#x202f;=&#x202f;0.025) and &#x3b3; (p&#x202f;=&#x202f;0.013) bands. Enhanced parieto-motor directionality were positively associated with adaptation rate (&#x3b2;: r&#x202f;=&#x202f;0.515, p&#x202f;=&#x202f;0.003; &#x3b3;: r&#x202f;=&#x202f;0.463, p&#x202f;=&#x202f;0.009). These findings suggest that cerebellar iTBS facilitates gait adaptation by modulating cortical responsiveness and directional sensorimotor network connectivity, providing multi-level neurodynamic evidence for the cerebello-cortical modulation during gait adaptation and offering a strong physiological rationale for targeted neuromodulation in gait rehabilitation strategies.

Humans↗

The relation between general cognitive level and adaptive behavior domains in individuals with autism with and without co-morbid mental retardation.

This study examined the association between adaptive behavior and general cognitive level in individuals with autism or PDD-NOS with and without comorbid mental retardation. Data from the screening version of the Vineland Adaptive Scales and the Wechsler Intelligence Scales were analysed in a sample of 67 subjects. While in the higher functioning individuals (IQ > 70, n = 34) IQ and adaptive behavior level differed significantly, performances were fairly comparable in subjects showing lower cognitive functioning (IQ < 70, n = 33). Regression models revealed a higher correlation between IQ and single adaptive behavior domains in the non-mentally retarded participants, with the domain Communication reaching the highest predictive power of the single adaptive behavior areas. Findings indicate, the relationship between adaptive and cognitive function in autistic disorders is mediated by the presence of a qualitative reduction of intelligence. Methodological limitations of the study are discussed.

Adaptation, Psychological↗

Mathematical modeling of dietary timing- and protein quality-responsive liver circadian clock and its function on ribosome biogenesis.

Independent of the suprachiasmatic nucleus, peripheral clocks can be strongly entrained by dietary signals. Although feeding time has been widely studied, the effects of food quality-particularly nutrient availability and stress-on peripheral circadian entrainment and metabolic regulation remain less understood. We developed a semimechanistic mathematical model of peripheral clock synchronization and clock-controlled ribosome biogenesis (RiBi) in response to feeding/fasting cycles and rhythms in dietary essential amino acid (EAA) availability. The model integrates EAA-sensitive signaling through mammalian target of rapamycin complex 1 (mTORC1) and the general control nonderepressible 2 (GCN2)-mediated integrated stress response (ISR), together with ribosomal protein expression as a metabolic endpoint. We used the model to examine circadian entrainment under nutrient stress, adaptation during transitions between feeding schedules with EAA insufficiency, and stress-related mechanisms that may restore circadian and metabolic function. Simulations showed that mTORC1 and GCN2-ISR signaling jointly regulate metabolic entrainability and stress adaptation and are required to maintain circadian synchronization and RiBi dynamics during nutrient stress. The model also predicted that differences in homeostatic adaptation can produce individualized recovery trajectories after transient dietary disruption. Finally, appropriate modulation of GCN2-ISR signaling mitigated disruption-associated RiBi hyperactivation by leveraging dietary EAA rhythms to restore clock function. These findings identify dietary EAA stress and its regulatory pathways as important determinants of peripheral circadian entrainment and metabolic adaptation, supporting the development of personalized nutrition-based strategies for circadian disruption-related chronic disease.NEW & NOTEWORTHY This study provides a mechanistic modeling framework linking dietary protein quality, EAA-sensitive mTORC1/GCN2-ISR signaling, peripheral circadian entrainment, and ribosome biogenesis, highlighting how nutrient stress may shape individualized circadian recovery and metabolic regulation.

Circadian Clocks↗

[Methods of artificial intelligence: a new trend in pharmacy].

Artificial neural networks (ANN) and genetic algorithms are one group of methods called artificial intelligence. The application of ANN on pharmaceutical data can lead to an understanding of the inner structure of data and a possibility to build a model (adaptation). In addition, for certain cases it is possible to extract rules from data. The adapted ANN is prepared for the prediction of properties of compounds which were not used in the adaptation phase. The applications of ANN have great potential in pharmaceutical industry and in the interpretation of analytical, pharmacokinetic or toxicological data.

Chemistry, Pharmaceutical↗

Trunk muscle activation in low-back pain patients, an analysis of the literature.

This paper provides an analysis of the literature on trunk muscle recruitment in low-back pain patients. Two models proposed in the literature, the pain-spasm-pain model and the pain adaptation model, yield conflicting predictions on how low- back pain would affect trunk muscle recruitment in various activities. The two models are outlined and evidence for the two from neurophsysiological studies is reviewed. Subsequently, specific predictions with respect to changes in activation of the lumbar extensor musculature are derived from both models. These predictions are compared to the results from 30 clinical studies and three induced pain studies retrieved in a comprehensive literature search. Neither of the two models is unequivocally supported by the literature. These data and further data on timing of muscle activity and load sharing between muscles suggest an alternative model to explain the alterations of trunk muscle recruitment due to low-back pain. It is proposed that motor control changes in patients are functional in that they enhance spinal stability.

Adaptation, Physiological↗

Measured and predicted volatilisation fluxes of PCBs from contaminated sludge-amended soils.

A laboratory experiment was carried out to measure volatilisation fluxes of polychlorinated biphenyls (PCBs) from sewage sludge-amended soils. The most commonly practised methods of applying sludge to agricultural land in the UK, namely, surface application, ploughing in to soil and subsurface injection, were simulated inside glass experimental chambers using an anaerobically digested sludge and a sandy loam soil. Humidified air was blown over the surface of the soil/sludge in the chambers for a period of 32 days, in order to sample a sufficient air volume to detect the volatilising PCBs. The resulting PCB volatilisation fluxes from the different sludge application methods were quantified and compared. Volatilisation fluxes of individual congeners were generally highest for the surface sludge (1-cm depth) application and slightly lower for the plough layer (5-cm depth) application. Fluxes from the subsurface layer of sludge (5-cm depth) were only quantified for the lightest congeners near to the end of the experimental run-time. Results from a multiple regression analysis showed that volatilisation fluxes of PCBs from the surface application are highly dependent on both the sludge concentration and the log of the octanol-air partition coefficient (K(OA)). A well-known soil volatilisation model, developed by Jury et al., was adapted and used to predict fluxes for the different sludge application methods during the experiment. The model predicted volatilisation fluxes that were reasonably comparable to measured fluxes for some congeners, but for others predicted fluxes that were more than an order of magnitude lower than measured fluxes. The model predicted similar loss kinetics to those observed in the experiment. Possible reasons for the dissimilarity between measured and predicted fluxes include inaccuracies in model input parameters and the fact that the models were not developed for predicting fluxes from sludge-amended soils.

Journal Article↗

Distributed Learning, Recognition, and Prediction by ART and ARTMAP Neural Networks.

A class of adaptive resonance theory (ART) models for learning, recognition, and prediction with arbitrarily distributed code representations is introduced. Distributed ART neural networks combine the stable fast learning capabilities of winner-take-all ART systems with the noise tolerance and code compression capabilities of multilayer perceptrons. With a winner-take-all code, the unsupervised model dART reduces to fuzzy ART and the supervised model dARTMAP reduces to fuzzy ARTMAP. With a distributed code, these networks automatically apportion learned changes according to the degree of activation of each coding node, which permits fast as well as slow learning without catastrophic forgetting. Distributed ART models replace the traditional neural network path weight with a dynamic weight equal to the rectified difference between coding node activation and an adaptive threshold. Thresholds increase monotonically during learning according to a principle of atrophy due to disuse. However, monotonic change at the synaptic level manifests itself as bidirectional change at the dynamic level, where the result of adaptation resembles long-term potentiation (LTP) for single-pulse or low frequency test inputs but can resemble long-term depression (LTD) for higher frequency test inputs. This paradoxical behavior is traced to dual computational properties of phasic and tonic coding signal components. A parallel distributed match-reset-search process also helps stabilize memory. Without the match-reset-search system, dART becomes a type of distributed competitive learning network.

Journal Article↗

Cognitive assessment of school-age children infected with maternally transmitted human immunodeficiency virus type 1.

Thirty-three children vertically infected with human immunodeficiency virus type 1 (HIV-1), who were born before 1985, were followed in a single center, and had reached the age of 6 years, were studied and tested for school achievement. Of these 33 children, 24 were also tested for cognitive abilities, fine motor and language skills, and emotional adaptation. Of the 33 patients, 22 (67%) had normal school achievement at a mean age of 9.5 +/- 1.6 years. The mean IQ was 95 +/- 11, but 54% of the patients (13/24) had abnormal results on visual-spatial and time orientation tests, 44% had speech and/or language delay or articulation disorders, and 29% of the children and 42% of the parents had psychoaffective disturbances of intermediate or high severity. Normal school performance was positively correlated with results of the different cognitive tests and to a lesser extent with the absence of psychoaffective symptoms, but was independent of the mode of maternal infection or the parents' educational level. Children with normal school achievement had a higher percentage of circulating CD4+ lymphocytes during the course of infection. We conclude that children whose HIV-1 infection is maternally acquired have better cognitive abilities and school achievement than was initially thought, and that the percentage of circulating CD4+ lymphocytes during the first years of life appears to be predictive of future school adaptation or cognitive abilities.

Acquired Immunodeficiency Syndrome↗