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233 results for “old age”
Nitrites, Skeletal Muscle Mitochondrial Bioenergetics, and Physical Activity in Old Age
ClinicalTrials.gov study NCT04405180. IPD Sharing: YES. Countries: 1. Publications: 0.
Data from: Spatial and temporal distribution of ribosomes in single cells reveals aging differences between old and new daughters of Escherichia coli
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Beneficial cumulative effects of old parental age on offspring fitness
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Data from: Validation of Quality-of-Life assessment tool for Ethiopian old age people
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Soil ammonium: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Soil nitrate: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Plant tissue nitrogen: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Root biomass data: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Plant biomass allocation: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Plant aboveground biomass data: Traits: Biomass Allocation Trends in Old Field in Relation to Gradients of Succesional Age and Soil Nitrogen
The objective of this experiment is to assess biomass allocation trends in the field in relation to gradients of successional age and soil nitrogen. This objective was approached in three ways: A) 37 old fields of various ages were surveyed for above and below ground biomass, soil N, and light penetration. Five strips (1m x 10cm) were clipped in each field for above ground biomass (sorted to grasses and forbs; then sorted to leaf and stem), and 3 root cores (down to 30cm) taken per strip (rinsed, dried and weighed). Two light measurements and one pooled (3 cores) soil N sample (for available and total N) were taken per strip. B) 35 abundant species of known successional status were harvested from the field (usually 15 individuals per species), including roots contained in a core 20x30cm, dried, sorted to stem, leaf, and root, and weighed. These data can be combined with the old field survey results (E014) to estimate successional trends in allocation. C) Root cores will be taken from microplots in fields A, B, C, and D, all treatments. This will be an estimate of root biomass to be combined with the above ground samples (E001) to assess root-shoot trends in response to manipulation of soil N in fields of different age.
Data from: How old are you? Genet age estimates in a clonal animal
Foundation species such as redwoods, seagrasses and corals are often long-lived and clonal. Genets may consist of hundreds of members (ramets) and originated hundreds to thousands of years ago. As climate change and other stressors exert selection pressure on species, the demography of populations changes. Yet, because size does not indicate age in clonal organisms, demographic models are missing data necessary to predict the resilience of many foundation species. Here, we correlate somatic mutations with genet age of corals and provide the first, preliminary estimates of genet age in a colonial animal. We observed somatic mutations at five microsatellite loci in rangewide samples of the endangered coral, Acropora palmata (n = 3352). Colonies harboured 342 unique mutations in 147 genets. Genet age ranged from 30 to 838 years assuming a mutation rate of 1.195−04 per locus per year based on colony growth rates and 236 to 6500 years assuming a mutation rate of 1.542−05 per locus per year based on sea level changes to habitat availability. Long-lived A. palmata genets imply a large capacity to tolerate past environmental change, and yet recent mass mortality events in A. palmata suggest that capacity is now being frequently exceeded.
Supplementary Data to: Mediterranean diet, Alzheimer's disease biomarkers and brain atrophy in old age
<p><b>Objective:</b> To determine if following a Mediterranean-like diet (MeDi) relates to cognitive functions and <i>in vivo</i> biomarkers for Alzheimer's disease (AD), we analyzed cross-sectional data from the German Longitudinal Cognitive Impairment and Dementia Study</p> <p><b>Method:</b> The sample (n=512, mean age: 69.5±5<span>.9 years) </span><span><span>included 169 cognitively normal participants and subjects at higher AD risk (53 AD relatives, 209 SCD and 81 MCI).</span></span><span> We </span>defined MeDi adherence based on the Food Frequency Questionnaire. Brain volume outcomes were generated via voxel-based morphometry on T1-MRI and cognitive performance with an extensive neuropsychological battery. AD-related biomarkers (Aβ42/40 ratio, pTau181) in cerebrospinal fluid were assessed in n=226 individuals. We analyzed the associations between MeDi and the outcomes with linear regression models controlling for several covariates. Additionally, we applied hypothesis-driven mediation and moderation analysis. </p> <p><b>Results:</b> Higher MeDi adherence related to larger mediotemporal gray matter volume (p<0.05 FWE corrected), better memory (β±SE = 0.03 ± 0.02; p=0.038), and less amyloid (Aβ42/40 ratio, β±SE = 0.003 ± 0.001; p=0.008) and pTau181 pathology (β±SE = -1.96±0.68; p=0.004). Results were consistent correcting for ApoE- ε4 status. Mediotemporal volume mediated the association between MeDi and memory (40% indirect mediation). Finally, MeDi favorably moderated the associations between Aβ42/40 ratio, pTau181 and mediotemporal atrophy. </p> <p><b>Conclusion:</b> Our findings corroborate the view of MeDi as a protective factor against memory decline and mediotemporal atrophy. Importantly, they suggest that these associations might be explained by a decrease of amyloidosis and tau-pathology. Longitudinal and dietary intervention studies should further examine this conjecture and its treatment implications.</p>
All about being old and shooting hairs: Clade age and urticating hair explain the patterns of diversification in tarantulas
<p>The extreme asymmetry of species richness distribution across the tree of life has always intrigued evolutionary biologists. Two competing explanations have been proposed to explain this pattern—the clade age hypothesis and diversification rate variation. While these two scenarios may not be mutually exclusive, to what extent time and diversification rates interact to explain species richness patterns remains understudied. Here, we investigate the relative influence of these two scenarios using tarantulas (Family: Theraphosidae) as a model. Tarantulas represent a speciose group of spiders found worldwide but exceptionally diverse in South America. These spiders show two distinct patterns of microhabitat use (ground-dwelling or arboreal) and defence strategies (presence or absence of urticating hairs). Using various trait-independent and dependent diversification models, we test the clade age hypothesis, the role of microhabitat, antipredator defence strategy and geography in influencing diversification rates. Our results suggest that clade age is the primary predictor of species richness distribution across the tarantula subfamilies. However, the presence of urticating hair probably disrupted this pattern in some clades by increasing the net diversification rates, not by increasing the speciation rate but by reducing the extinction rate.</p>
Water, sanitation and the risk of chronic conditions in old age: Results from the Ghana WHO SAGE 2
<p>Water and sanitation have been related to the health of populations, yet, the effects of these factors on the occurrence of chronic conditions (CC) in later life have been least explored. This study examines the association of CC with water and sanitation among older Ghanaians and whether the associations are moderated by gender and residence. Data from the WHO-SAGE Wave 2 comprising of 4735 adults aged ≥ 50 years were analyzed in this study. The primary outcome was CC and the exposures included sources of water, sanitation facilities, and the sharing of sanitation facilities. Generalized logistic regression models estimated the effects of water and sanitation indicators on the occurrence of CC. Overall, 18.8% of the sample reported at least one CC. Compared to men and rural residents, women and urban residents respectively were more likely to report CC (<em>p </em>< 0.001). After full adjustments, logistic regressions showed that the use of unimproved sanitation (OR = 1.732, CI: 1.377–5.418) and sharing of sanitation facilities (OR = 1.624, CI: 1.095–1.320) were associated with higher odds of CC. However, the use of water did not reach significance (<em>p</em> = 0.125). We found a significant interaction effect for type of toilet <strong>×</strong> gender (OR = 3.498, CI: 1.744–16.442), source of water <strong>×</strong> residence (OR = 5.935, CI: 1.320–26.685), and type of toilet <strong>× </strong>residence (OR = 1.998, CI: 1.462–8.642). The use of unimproved sanitation facilities and the sharing of sanitation facilities are associated with the occurrence of CC among older people. Policy and public health interventions targeted at improving the health and well-being of older people should conspicuously include improving access to sanitation services.</p>
Subspecies and Distribution. O.c.cuniculusLinnaeus,1758—N,NE&EIberianPeninsula(Spain). O.c.algirusLoche,1858—S,SW&WIberianPeninsula(Spain,Portugal),NMorocco,NAlgeria(includingHabibasI). O.c.brachyotusTrouessart,1917—SFrance. O.c.cnossiusBate,1906—CreteI. O.c.habetensisCabrera,1923—Tanger-Tetouan-AlHoceimaRegion(NMorocco). O. c. huxleyi Haeckel, 1874 — Mediterranean Is (Balearic Is, Corsica, Sardinia, Sicily and Macaronesia (Azores, Madeira, and Canary Is). Original distribution after last Ice Age restricted to Iberian Peninsula, W France, and N Africa. Ancient introductions of the nominate subspecies probably during the Ro- man period have spread it throughout Europe, and now it is present in most of W, C & E Europe and the Mediterranean and Macaronesian Is (these mostly old introductions are also shaded on the map). During the 20" century it has been released into the steppes of the Black Sea in Ukraine and Russia (N Caucasus); introduced into Australia in 1788 and again in 1859 where it is now widespread; it is found on many Pacific Is, islands off the coast of South Africa and Namibia, and in New Zealand; successfully introduced only since 1936 into South America, nowadays with a limited range in Chile, Argentina, and Falkland Is, it is also present in the Caribbean Is (all these modern introductions not shaded in the map). Worldwide as domesticated forms. in Leporidae
Subspecies and Distribution. O.c.cuniculusLinnaeus,1758—N,NE&EIberianPeninsula(Spain). O.c.algirusLoche,1858—S,SW&WIberianPeninsula(Spain,Portugal),NMorocco,NAlgeria(includingHabibasI). O.c.brachyotusTrouessart,1917—SFrance. O.c.cnossiusBate,1906—CreteI. O.c.habetensisCabrera,1923—Tanger-Tetouan-AlHoceimaRegion(NMorocco). O. c. huxleyi Haeckel, 1874 — Mediterranean Is (Balearic Is, Corsica, Sardinia, Sicily and Macaronesia (Azores, Madeira, and Canary Is). Original distribution after last Ice Age restricted to Iberian Peninsula, W France, and N Africa. Ancient introductions of the nominate subspecies probably during the Ro- man period have spread it throughout Europe, and now it is present in most of W, C & E Europe and the Mediterranean and Macaronesian Is (these mostly old introductions are also shaded on the map). During the 20" century it has been released into the steppes of the Black Sea in Ukraine and Russia (N Caucasus); introduced into Australia in 1788 and again in 1859 where it is now widespread; it is found on many Pacific Is, islands off the coast of South Africa and Namibia, and in New Zealand; successfully introduced only since 1936 into South America, nowadays with a limited range in Chile, Argentina, and Falkland Is, it is also present in the Caribbean Is (all these modern introductions not shaded in the map). Worldwide as domesticated forms.
Part 2 of Age-related proteostatic imbalance exacerbates heart failure with preserved ejection fraction pathogenesis in old mice
<p>Heart failure with preserved ejection fraction (HFpEF) is a leading cause of hospitalization and death in the elderly. While aging strongly increases the incidence of HFpEF, the specific influences of aging on HFpEF at molecular and pathophysiological levels remain unclear. Here, we show that aged mice, when subjected to chronic metabolic and hypertensive stress (2-hit stress), develop an aggravated cardiometabolic HFpEF phenotype compared to younger counterparts. Aged HFpEF mice also display unique pathological characteristics reminiscent of those found in HFpEF patients. We demonstrate that age-related dysfunction in protein quality control (PQC) exacerbates proteostatic stress in HFpEF. Specifically, we demonstrate that increased protein synthesis induced by 2-hit stress combines with age-related impairment in protein degradation in aged HFpEF hearts, culminating in the accumulation of protein aggregates. These findings underscore the importance of incorporating aging into preclinical HFpEF models and support the therapeutic potentials of targeting PQC mechanisms to ameliorate disease outcomes.</p> <p>The deposited data are lc-ms data acquired on the Thermo QEx-Plus system. For any questions, please contact mike kinter mike-kinter at omrf.org</p> <p>This upload contains the second part of the data. The majority of the data and a complete list of authors can be found in 10.5281/zenodo.10993216</p>
Fig. 4 a Relationship between species age and latitude. b in Adrift across tectonic plates: molecular phylogenetics supports the ancient Laurasian origin of old limnic crangonyctid amphipods
Fig. 4 a Relationship between species age and latitude. b Box-plots indicating the age variation among eyeless, vestigial eyed, and eyed species in Crangonyctidae, Pseudocrangonyctidae, and Crymostygidae
Validation of a Novel Non-invasive Continuous Blood Pressure Monitor in Children Ages 2- 17 Years-old
ClinicalTrials.gov study NCT04817137. IPD Sharing: NO. Countries: 1. Publications: 7.
Apathy-related Neurobehavioral Markers of Cognitive Decline in Old-age Bipolar Disorders: Proof-of-concept
ClinicalTrials.gov study NCT06914284. IPD Sharing: UNDECIDED. Countries: 1. Publications: 15.
DTG/3TC Fixed Dose Formulations for the Maintenance of Virological Suppression in Children With HIV Infection Aged 2 to <15 Years Old
ClinicalTrials.gov study NCT04337450. IPD Sharing: UNDECIDED. Countries: 5. Publications: 2.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.