Biomarkers Of Health Research Articles

Isolation and Identification of the High-Affinity DNA Aptamer Target to the Brain-Derived Neurotrophic Factor (BDNF).

Aptamers are functional oligonucleotide ligands used for the molecular recognition of various targets. The natural characteristics of aptamers make them an excellent alternative to antibodies in diagnostics, therapeutics, and biosensing. DNA aptamers are mainly single-stranded oligonucleotides (ssDNA) that possess a definite binding to targets. However, the application of aptamers to the fields of brain health and neurodegenerative diseases has been limited to date. Herein, a DNA aptamer against the brain-derived neurotrophic factor (BDNF) protein was obtained by in vitro selection. BDNF is a potential biomarker of brain health and neurodegenerative diseases and has functions in the synaptic plasticity and survival of neurons. We identified eight aptamers that have binding affinity for BDNF from a 50-nucleotide library. Among these aptamers, NV_B12 showed the highest sensitivity and selectivity for detecting BDNF. In an aptamer-linked immobilized sorbent assay (ALISA), the NV_B12 aptamer strongly bound to BDNF protein, in a dose-dependent manner. The dissociation constant (Kd) for NV_B12 was 0.5 nM (95% CI: 0.4-0.6 nM). These findings suggest that BDNF-specific aptamers could be used as an alternative to antibodies in diagnostic and detection assays for BDNF.

Changes in Mental Health and EEG Biomarkers of Undergraduates Under Different Patterns of Mindfulness.

The effects of short-term mindfulness are associated with the different patterns (autonomic, audio guided, or experienced and certified mindfulness instructor guided mindfulness). However, robust evidence for reported the impacts of different patterns of mindfulness on mental health and EEG biomarkers of undergraduates is currently lacking. Therefore, we aimed to test the hypotheses that mindfulness training for undergraduates would improve mental health, and increase alpha power over frontal region and theta power over midline region at the single electrode level. We also describe the distinction among frequency bands patterns in different sites of frontal and midline regions. 70 participants were enrolled and assigned to either 5-day mindfulness or a waiting list group. Subjective questionnaires measured mental health and other psychological indicators, and brain activity was recorded during various EEG tasks before and after the intervention. The 5-day mindfulness training improved trait mindfulness, especially observing (p = 0.001, d = 0.96) and nonreactivity (p = 0.03, d = 0.56), sleep quality (p = 0.001, d = 0.91), and social support (p = 0.001, d = 0.95) while not in affect. Meanwhile, the expected increase in the alpha power of frontal sites (p < 0.017, d > 0.84) at the single electrode level was confirmed by the current data rather than the theta. Interestingly, the alteration of low-beta power over the single electrode of the midline (p < 0.05, d > 0.71) was difference between groups. Short-term mindfulness improves practitioners' mental health, and the potentially electrophysiological biomarkers of mindfulness on neuron oscillations were alpha activity over frontal sites and low-beta activity over midline sites.

Rotational 3D shear wave elasticity imaging: Effect of knee flexion on 3D shear wave propagation in in vivo vastus lateralis

Skeletal muscle is a complex tissue, exhibiting not only direction-dependent material properties (commonly modeled as a transversely isotropic material), but also changes in observed material properties due to factors such as contraction and passive stretch. In this work, we evaluated the effect of muscle passive stretch on shear wave propagation along and across the muscle fibers using a rotational 3D shear wave elasticity imaging system and automatic analysis methods. We imaged the vastus lateralis of 10 healthy volunteers, modulating passive stretch by imaging at 8 different knee flexion angles (controlled by a BioDex system). In addition to demonstrating the ability of this acquisition and automatic processing system to estimate muscle shear moduli over a range of values, we evaluated potential higher order biomarkers for muscle health that capture the change in muscle stiffness along and across the fibers with changing knee flexion. The median within-subject variability of these biomarkers is found to be <16%, suggesting promise as a repeatable clinical metric. Additionally, we report an unexpected observation: that shear wave signal amplitude along the fibers increases with increasing flexion and muscle stiffness, which is not predicted by transversely isotropic (TI) material simulations. This observation may point to an additional potential biomarker for muscle health or inform other material modeling choices for muscle.

The Metabolically Obese, Normal-Weight Phenotype in Young Rats Is Associated with Cognitive Impairment and Partially Preventable with Leptin Intake during Lactation.

The intake of high-fat diets (HFDs) and obesity are linked to cognitive impairment. Here, we aimed to investigate whether an early metabolically obese, normal-weight (MONW) phenotype, induced with an HFD in young rats, also leads to cognitive dysfunction and to evaluate the potential cognitive benefits of neonatal intake of leptin. To achieve this, Wistar rats orally received physiological doses of leptin or its vehicle during lactation, followed by 11 weeks of pair-feeding with an HFD or control diet post-weaning. Working memory was assessed using a T-maze, and gene expression in the hippocampus and peripheral blood mononuclear cells (PBMCs) was assessed with real-time RT-qPCR to identify cognition biomarkers. Young MONW-like rats showed hippocampal gene expression changes and decreased working memory. Animals receiving leptin during lactation presented similar gene expression changes but preserved working memory despite HFD intake, partly due to improved insulin sensitivity. Notably, PBMC Syn1 expression appears as an accessible biomarker of cognitive health, reflecting both the detrimental effect of HFD intake at early ages despite the absence of obesity and the positive effects of neonatal leptin treatment on cognition. Thus, the MONW phenotype developed at a young age is linked to cognitive dysfunction, which is reflected at the transcriptomic level in PBMCs. Neonatal leptin intake can partly counteract this impaired cognition resulting from early HFD consumption.

Physiological changes in captive elephants in Northern Thailand as a result of the COVID-19 tourism ban - muscle, liver, metabolic function, and body condition.

The international travel ban initiated in March 2020 due to the COVID-19 pandemic greatly affected how captive elephants were managed in Thailand. A lack of tourists and associated income meant elephants were chained longer with reduced food provisions, had fewer mahouts, and limited exercise like riding, which likely affected health and welfare. Fifty-eight elephants from six tourist camps were assigned a body condition score (BCS) and blood samples were collected monthly for 2 years during the travel ban to measure: (1) muscle enzymes [creatine kinase (CK), aspartate aminotransferase (AST)]; (2) liver enzymes [aspartate aminotransferase (AST), alkaline phosphatase (ALP), gamma-glutamyl transferase (GGT)]; (3) lipids [total cholesterol (TC), triglycerides (TG), low (LDL) and high (HDL) density lipoproteins]; and metabolic function [glucose, insulin, fructosamine]. Serum CK concentrations were lower at the end of the study, possibly due to no tourist activities like riding. Changes in liver function included increased AST and ALP, also possibly due to physical inactivity. Feeding less bananas and sugar cane was associated with fewer elephants in the obese category and lower TG concentrations. However, increases in glucose, insulin and fructosamine were observed as local people returned to feed elephants after lifting travel restrictions. In sum, changes in several health biomarkers were observed in association with restricted activities and food resources. Camps need better plans to meet the health and welfare needs of elephants during any future disruptions to the tourism industry, although reduced feeding of sweet treats appeared to have positive effects on body condition and metabolic function.

Task-oriented exercise effects on walking and corticospinal excitability in multiple sclerosis: protocol for a randomized controlled trial

BackgroundMultiple sclerosis (MS) is a degenerative disease of the central nervous system (CNS) that disrupts walking function and results in other debilitating symptoms. This study compares the effects of ‘task-oriented exercise’ against ‘generalized resistance and aerobic exercise’ and a ‘stretching control’ on walking and CNS function in people with MS (PwMS). We hypothesize that task-oriented exercise will enhance walking speed and related neural changes to a greater extent than other exercise approaches.MethodsThis study is a single-blinded, three-arm randomized controlled trial conducted in Saskatchewan, Canada. Eligible participants are those older than 18 years of age with a diagnosis of MS and an expanded Patient-Determined Disease Steps (PDDS) score between 3 (‘gait disability’) and 6 (‘bilateral support’). Exercise interventions are delivered for 12 weeks (3 × 60-min per week) in-person under the supervision of a qualified exercise professional. Interventions differ in exercise approach, such that task-oriented exercise involves weight-bearing, walking-specific activities, while generalized resistance and aerobic exercise uses seated machine-based resistance training of major upper and lower body muscle groups and recumbent cycling, and the stretching control exercise involves seated flexibility and relaxation activities. Participants are allocated to interventions using blocked randomization that stratifies by PDDS (mild: 3–4; moderate: 5–6). Assessments are conducted at baseline, post-intervention, and at a six-week retention time point. The primary and secondary outcome measures are the Timed 25-Foot Walk Test and corticospinal excitability for the tibialis anterior muscles determined using transcranial magnetic stimulation (TMS), respectively. Tertiary outcomes include assessments of balance, additional TMS measures, blood biomarkers of neural health and inflammation, and measures of cardiorespiratory and musculoskeletal fitness.DiscussionA paradigm shift in MS healthcare towards the use of “exercise as medicine” was recently proposed to improve outcomes and alleviate the economic burden of MS. Findings will support this shift by informing the development of specialized exercise programming that targets walking and changes in corticospinal excitability in PwMS.Trial registrationClinicalTrials.gov, NCT05496881, Registered August 11, 2022. https://classic.clinicaltrials.gov/ct2/show/NCT05496881. Protocol amendment number: 01; Issue date: August 1, 2023; Primary reason for amendment: Expand eligibility to include people with all forms of MS rather than progressive forms of MS only.

MITOCHONDRIAL DNA COPY NUMBER IS ASSOCIATED WITH PHYSICAL FUNCTION

Abstract Mitochondria generate the energy required by cells to maintain functionality and muscle health. They may play a key role in age-related physical function decline. Skeletal muscle mitochondrial function is associated with gait speed and muscle strength. Blood-derived mitochondrial DNA copy number (mtDNAcn) is a biomarker of mitochondrial health, but its association with physical function is unclear. We examined cross-sectional associations of mtDNAcn estimated by whole genome sequencing with gait speed and grip strength in participants aged 50+ from two population-based studies: Baltimore Longitudinal Study of Aging(BLSA,n=688) and UK Biobank(n=150,448). Gait speed was measured using 6-meter walk in BLSA and self-reported walking pace in UK Biobank. Handgrip strength was measured using a hand dynamometer. We additionally tested sex differences because of known sex differences in gait speed and grip strength. We found that higher mtDNAcn was associated with faster gait speed and greater grip strength, after adjustment for age,sex,race,and autosomal coverage. Specifically, each standard deviation increase in mtDNAcn was associated with a 0.05 m/sec faster in gait speed and a 19% lower odds of reporting slow walking pace(both p&amp;lt; 0.0001). There was no significant sex-by-mtDNAcn interaction for gait (both p&amp;gt;0.05). There was a significant sex-by-mtDNAcn interaction for grip strength. In sex-stratified analysis, the association with grip strength was stronger in men (β=0.129,p=0.002;β=0.032,p&amp;lt; 2e-16,respectively) than in women (β=0.007,p=0.784;β=0.015,p&amp;lt; 2e-16,respectively). These findings suggest that blood-based estimate of mitochondrial function is related to physical function in community-dwelling middle-aged and older adults. Further research is needed to understand its relationship with physical function decline and underlying mechanisms.

REVOLUTIONIZING COGNITIVE ASSESSMENT: THE POWER OF DIGITAL BIOMARKERS AND ECOLOGICALLY VALID METHODS

Abstract Digital technologies have allowed neuropsychologists to utilize process-based approaches to assess cognitive function and change. Traditional methods of neuropsychological assessment involve obtaining single scores (often composites) to represent cognitive function. However, modern process-based techniques involve the use of digital data collection to acquire insights into both the manner and reasoning behind an individual’s performance. The present study will share insights into the task development and validation of active and passive digital cognitive assessments from two longitudinal studies of aging: (1) a study of non-dementia participants (N=322), ultra-brief mobile cognitive tests were administered up to six times per day for two weeks; and (2) a neuro-exergaming study (N=31) enrolling patients with MCI and their co-residing study partner, where participants used a study-provided tablet to complete a neuro-exergaming protocol and digital cognitive assessments (e.g., digital trailmaking and eStroop). We analyzed both traditional and process-based metrics in two studies, including mean response time and patterns of inaccuracy. Study one found significant correlations between MCI status and metrics for survey completion time, working memory, and processing speed. Study two found weak to moderate correlations between cognitive function measures from digital and paper-based neuropsychology. Our findings suggest that remote self-administered digital measures can detect subtle cognitive changes. The event-level data, which is collected through a process-based approach, has enormous untapped potential for discovering and confirming novel digital biomarkers of cognitive health and progression that can be monitored beyond clinical settings.

ALCOHOL CONSUMPTION AND DECREASED SERUM Α-KLOTHO, AN ANTI-AGING HORMONE, LEVELS AMONG US ADULT PARTICIPANTS

Abstract Background The Klotho protein is widely accepted to be a prominent anti-aging biomarker for health and longevity. The relationship between alcohol intake and serum levels of soluble ɑ-Klotho is not well understood. Methods In this study, we explored this relationship in a nationally representative sample of US adults. A total of 3970 male and female adults aged 40-79 years from the 2013-2016 National Health and Nutrition Examination Surveys were analyzed using multiple general linear models. Participants were classified as non-drinkers, light drinkers (consumed on average &amp;lt; 4 drinks in males and &amp;lt; 3 drinks in females per day), and heavy drinkers (consumed on average ≥4 drinks in males and ≥3 drinks in females per day), according to a national guideline. Results Significantly decreased serum ɑ-Klotho levels were found in both light drinkers and heavy drinkers, with the weighted geometric mean of 785.18 pg/mL (p = 0.0007) in light drinkers and 750.96 pg/mL (p = &amp;lt;.0001) in heavy drinkers, compared to that in non-drinkers (827.19 pg/mL). After adjusting for covariates, light drinking was associated with a 3.66% (p = 0.0081) decrease in serum ɑ-Klotho levels, and heavy drinking with an 8.07% decrease (p = &amp;lt;.0001) in ɑ-Klotho levels, as compared with non-alcohol drinking. Similarly, binge drinking was also associated in a 5.22% (p = &amp;lt;.0001) decrease in serum ɑ-Klotho, compared to non-binge drinking. Conclusion This study demonstrates a significantly inverse relationship between alcohol consumption and serum ɑ-Klotho levels in middle-aged and older adults. Prospective studies are warranted to elucidate these interactions.

Xenobiotic Bioconcentration in Terrestrial Oligochaetes to Evaluate Soil Quality

Excessive use of pesticides, heavy metals, and detergents may have negative effects on non-target organisms in soil and water and may seriously harm ecosystems. A total of 181 earthworm specimens from various habitats were gathered from three separate locations, namely the Anthikkad and Chalakudi locality in the Thrissur district and the Meenangadi locality in Wayanad. We were able to identify four different earthworm species which belonged to two distinct families and four different genera. Thereafter from this study it was clear that the Density of different species of earthworm (P. sansibaricus and L. mauritii) collected from study areas are same. Pb was found to be undetectable in earthworm samples from study sites out of the four pollutants evaluated. Earthworm samples from Anthikkad and Meenangadi sites had the greatest levels of the heavy element Zn. Of the 32 pesticides tested, 4 organochlorine pesticides and 4 organophosphorus pesticides were found to be at in samples collected from two different districts. By statistical analysis it was concluded that soil samples from all the sites (As, Cs &amp; Ms) were homogeneous. It is not essential to be exposed to a large concentration of xenobiotics for the bodily tissues to become toxic; by extending the exposure period, the concentration can rise to dangerous levels. One more sensitive and early-warning biomarker of ecosystem health is the observation of earthworm immunological capability.

Salivary and gingival crevicular fluid biomarkers of periodontal health and/or obesity among children and adolescents: A systematic review and meta-analysis

ObjectivesTo investigate the association of salivary and gingival crevicular fluid (GCF) biomarkers with periodontal status and obesity in children and adolescents. Data/sourcesA literature search up to July 2023 was conducted through PubMed, Web of Science, Embase, ProQuest Medical Database, ProQuest SciTech Premium Collection, and the Cochrane Library. Observational studies comparing salivary and GCF biomarkers in children and adolescents with compromised periodontal status and/or obesity were included for data extraction. A meta-analysis was performed to estimate the overall standardised mean difference. Study selectionFifteen observational studies met the inclusion criteria and were included in this systematic review. Meta-analysis was only applicable in synthesising the dyadic relationship between GCF biomarkers and obesity. The results demonstrated that children and adolescents with obesity had significantly higher GCF levels of tumour necrosis factor-alpha (SMD:0.56; 95% CI:0.07, 1.04), adiponectin (SMD:0.33; 95% CI:0.06, 0.60), leptin (SMD:0.52; 95% CI:0.15, 0.90), and interleukin-1 beta (SMD:0.71; 95% CI:0.44, 0.99) than those with normal weight. ConclusionTo date, no study has well addressed the triadic association between salivary or GCF biomarkers, periodontal status, and obesity among children and adolescents. Further in-depth, high-quality studies are required to investigate these associations. Clinical significancePeriodontal disease and obesity are growing public health crises worldwide. Their relationship has been intensively studied. Investigating the salivary or GCF biomarkers alterations could help better understand the relationship between periodontal disease and obesity, which would assist in tailoring future oral health promotion programs.

Association of metabolic flexibility indexes after an oral glucose tolerance test with cardiometabolic risk factors.

Metabolic flexibility (MetF) is considered a metabolic health biomarker, as excess body weight is associated with lower MetF. We aimed to identify whether MetF indexes were associated with cardiometabolic risk factors before and after adjustment for body size-related factors (body weight, fat-free mass, and resting metabolic rate). We studied 51 participants (55% women; 33.6 ± 8.7 years; 26.3 ± 3.8 kg/m²) who consumed a 75-g glucose load. We measured gas exchange before (fasting) and for 3 h after glucose ingestion. MetF indexes were assessed, including the change after each hour and the 3-hour incremental area under the curve (iAUC) in respiratory exchange ratio (RER). These indexes were then related to cardiometabolic risk factors before and after adjusting for body size-related factors. MetF indexes correlated with each other (r ≥ 0.51; P < 0.001) and related to body weight (adjusted R2 ≥ 0.09; P < 0.03). A similar pattern was noted for fat-free mass and resting metabolic rate. MetF, regardless of the index, was not related to cardiometabolic risk factors except to BMI and high-density lipoprotein-cholesterol (HDL-C). The association between BMI and MetF disappeared after adjusting for body size-related factors. Similar adjustments did not modify the association between HDL-C and MetF, especially when approached by the change in RER after the first hour (adjusted R2 = 0.20-0.22; all P < 0.02). Inter-individual body size differences fully accounted for the associations between BMI and MetF. However, variability in body size-related factors appeared less relevant in affecting the associations of other cardiometabolic risk factors with MetF.

Associations Between Head Injury, Strangulation, Cardiometabolic Health, and Functional Disability Among Female Survivors of Intimate Partner Violence

ObjectiveHead injury and strangulation are highly prevalent in intimate partner violence (IPV) contexts, but there is little research examining the potential implications of these injuries on physical health and functional status. This pilot study explored the extent to which injury type (head injury, strangulation) and severity (no injury, subconcussive head injury, traumatic brain injury; no strangulation, strangulation, strangulation with loss of consciousness) were associated with biomarkers of cardiometabolic health and self-reported functioning among female survivors of IPV. MethodsParticipants were 51 individuals assigned female at birth who experienced IPV during their lifetime and screened positive for probable posttraumatic stress disorder (PTSD) on the PTSD Checklist for DSM-5 (average age = 32.6 years, SD = 7.1). ResultsHead injury was associated with statistically significant increases in blood glucose levels (p = .01, d = 1.10). Shifts toward more high-risk values with moderate-strong effect sizes were also found in high-density lipoprotein, low-density lipoprotein, and waist-to-hip ratio (ps: .06–.13; ds: 0.51–1.30). Strangulation was associated with increased cholesterol levels, with a moderate effect size (p = .20, d = 0.59). Regression models accounting for age, education, PTSD symptoms, childhood trauma, strangulation, and head injuries predicted functional disability status (R2 = 0.37, p < .01) and several of its associated domains: cognition (R2 = 0.34, F(8,42) = 2.73, p = .01), mobility (R2 = 0.47, F(8,42) = 4.82, p < .001), and participation in society (R2 = 0.33, F(8,42) = 2.59, p = .02). ConclusionsFindings suggest the need to develop integrated treatments that address physical health comorbidities among female survivors of IPV with a history of head injury to improve daily function and quality of life.

Accelerated eutrophication alters fish and aquatic health: a quantitative assessment by using integrative multimarker, hydrochemical, and GIS modelling method in an urban lake.

The ramifications of anthropogenic activities on the environment and the welfare of aquatic life in lakes worldwide are becoming increasingly alarming. There is a lack of research in the Indian Himalayas on fish biomarker responses to stressful aquatic conditions and the use of environmetric modelling in GIS. Our research evaluates the environmental health of urban lakes in multiple basins using multi-biomarker endpoints (13 features) in Schizothorax niger and hydrochemical characterization (9 features) of water. The study covers 31 grids, each at a distance of 1 km2. This study demonstrated a statistically significant (P = 0.001) increase in white blood cells (WBC), mean cell size (MCH), helminth infection, and health assessment index score (HAIS) score in fish from a highly eutrophic cluster or basin compared to a reference cluster, which is indicative of environmental stress in fish. Based on hydrochemical similarities, the lake water datasets were divided into three categories using hierarchical cluster analysis (HCA). In the PCA analysis, the first three principal components were responsible for 78.1% of the data's variance. The first principal component (PC1) accounted for 57.4% of the variance and had a strong positive loading from ammonia, total phosphate, pH, nitrates, and total alkalinity for water quality parameters. Additionally, PC1 had a favourable loading from WBC, helminth infection (%), and the health assessment index score (HAIS) for biological endpoints. These findings are in alignment with the results of the multivariate analysis. The trophic state index (TSI) showed a significant (P < 0.05) increase in Cluster 1, which includes the peripheral areas of Hazratbal and Gagribal side (> 70), compared to the reference cluster. The multiple regression model indicates that ammonia, phosphate, and nitrate significantly impact the general health of fish (R2 > 0.7). A novel methodology for monitoring water quality fluctuations across different basins and clusters is presented in this study. By integrating fish health biomarkers and GIS technology, we have developed a comprehensive approach to evaluate the overall well-being of aquatic habitat. This technique may prove beneficial in the management of urban lentic water bodies in the Kashmir Himalayas and other comparable water systems around the globe, while also supporting sustainable practices.

Pilot Lipidomics Study of Copepods: Investigation of Potential Lipid-Based Biomarkers for the Early Detection and Quantification of the Biological Effects of Climate Change on the Oceanic Food Chain.

Maintenance of the health of our oceans is critical for the survival of the oceanic food chain upon which humanity is dependent. Zooplanktonic copepods are among the most numerous multicellular organisms on earth. As the base of the primary consumer food web, they constitute a major biomass in oceans, being an important food source for fish and functioning in the carbon cycle. The potential impact of climate change on copepod populations is an area of intense study. Omics technologies offer the potential to detect early metabolic alterations induced by the stresses of climate change. One such omics approach is lipidomics, which can accurately quantify changes in lipid pools serving structural, signal transduction, and energy roles. We utilized high-resolution mass spectrometry (≤2 ppm mass error) to characterize the lipidome of three different species of copepods in an effort to identify lipid-based biomarkers of copepod health and viability which are more sensitive than observational tools. With the establishment of such a lipid database, we will have an analytical platform useful for prospectively monitoring the lipidome of copepods in a planned long-term five-year ecological study of climate change on this oceanic sentinel species. The copepods examined in this pilot study included a North Atlantic species (Calanus finmarchicus) and two species from the Gulf of Mexico, one a filter feeder (Acartia tonsa) and one a hunter (Labidocerca aestiva). Our findings clearly indicate that the lipidomes of copepod species can vary greatly, supporting the need to obtain a broad snapshot of each unique lipidome in a long-term multigeneration prospective study of climate change. This is critical, since there may well be species-specific responses to the stressors of climate change and co-stressors such as pollution. While lipid nomenclature and biochemistry are extremely complex, it is not essential for all readers interested in climate change to understand all of the various lipid classes presented in this study. The clear message from this research is that we can monitor key copepod lipid families with high accuracy, and therefore potentially monitor lipid families that respond to environmental perturbations evoked by climate change.

Post-traumatic stress in older, community-dwelling adults with hypertension during the COVID-19 pandemic: An investigation of pre-pandemic sociodemographic, health, and vascular and inflammatory biomarker predictors.

COVID-19 pandemic-related traumatic stress (PRTS) symptoms are reported in various populations, but risk factors in older adults with chronic medical conditions, remain understudied. We therefore examined correlates and pre-pandemic predictors of PRTS in older adults with hypertension during COVID-19. Participants in California, aged 61-92 years (n = 95), participated in a pre-pandemic healthy aging trial and later completed a COVID-19 assessment (May to September 2020). Those experiencing ⩾1 PRTS symptom (n = 40), and those without PRTS symptoms (n = 55), were compared. The PRTS+ group had poorer mental and general health and greater impairment in instrumental activities of daily living. Pre-pandemic biomarkers of vascular inflammation did not predict increased odds of PRTS; however, greater pre-pandemic anxiety and female gender did predict PRTS during COVID-19. Our findings highlight PRTS as a threat to healthy aging in older adults with hypertension; targeted approaches are needed to mitigate this burden, particularly for females and those with pre-existing anxiety.

Sex Differences in Circulating Biomarkers of Heart Failure.

Evidence is scaling up for sex differences in heart failure; however, clinical relevance of sex-specific differential thresholds for biomarkers is not clearly known. Current ambiguity warrants a further look into the sex-specific studies on cardiac biomarkers and may facilitate understanding of phenotypic presentations, clinical manifestations, and pathophysiologic pathway differences in men and women. Recent studies have confirmed the fact that females have differential threshold for biomarkers, with lower troponin and higher NT proBNP levels. Ambiguity continues to exist in the clinical relevance of ST-2, Galectin 3, and other biomarkers. Novel biomarkers, proteomic biomarkers, and circulating micro RNAs with machine learning are actively being explored. Biomarkers in HFpEF patients with higher female representation are evolving. In recent clinical trials, sex-related difference in biomarkers is not seen despite therapeutic intervention being more effective in females compared to males. Sex-related difference exists in the expression of biomarkers in health and in various disease states of heart failure. However, this differentiation has not effectively translated into the clinical practice in terms of diagnostic studies or prognostication. Active exploration to bridge the knowledge gap and novel technologies can shed more light in this area.

Translation of an existing implantable cardiac monitoring device for measurement of gastric electrical slow-wave activity.

Despite evidence that slow-wave dysrhythmia in the stomach is associated with clinical conditions such as gastroparesis and functional dyspepsia, there is still no widely available device for long-term monitoring of gastric electrical signals. Actionable biomarkers of gastrointestinal health are critically needed, and an implantable slow-wave monitoring device could aid in the establishment of causal relationships between symptoms and gastric electrophysiology. Recent developments in the area of wireless implantable gastric monitors demonstrate potential, but additional work and validation are required before this potential can be realized. We hypothesized that translating an existing implantable cardiac monitoring device, the Reveal LINQ™ (Medtronic), would present a more immediate solution. Following ethical approval and laparotomy in anesthetized pigs (n = 7), a Reveal LINQ was placed on the serosal surface of the stomach, immediately adjacent to a validated flexible-printed-circuit (FPC) electrical mapping array. Data were recorded for periods of 7.5 min, and the resultant signal characteristics from the FPC array and Reveal LINQ were compared. The Reveal LINQ device recorded slow waves in 6/7 subjects with a comparable period (p = 0.69), signal-to-noise ratio (p = 0.58), and downstroke width (p = 0.98) to the FPC, but with reduced amplitude (p = 0.024). Qualitatively, the Reveal LINQ slow-wave signal lacked the prolonged repolarization phase present in the FPC signals. These findings suggest that existing cardiac monitors may offer an efficient solution for the long-term monitoring of slow waves. Translation toward implantation now awaits.

BASE: Brain Age Standardized Evaluation

Brain age, most commonly inferred from T1-weighted magnetic resonance images (T1w MRI), is a robust biomarker of brain health and related diseases. Superior accuracy in brain age prediction, often falling within a 2–3 year range, is achieved predominantly through deep neural networks. However, comparing study results is difficult due to differences in datasets, evaluation methodologies and metrics. Addressing this, we introduce Brain Age Standardized Evaluation (BASE), which includes (i) a standardized T1w MRI dataset including multi-site, new unseen site, test-retest and longitudinal data, and an associated (ii) evaluation protocol, including repeated model training and upon based comprehensive set of performance metrics measuring accuracy, robustness, reproducibility and consistency aspects of brain age predictions, and (iii) statistical evaluation framework based on linear mixed-effects models for rigorous performance assessment and cross-comparison. To showcase BASE, we comprehensively evaluate four deep learning based brain age models, appraising their performance in scenarios that utilize multi-site, test-retest, unseen site, and longitudinal T1w brain MRI datasets. Ensuring full reproducibility and application in future studies, we have made all associated data information and code publicly accessible at https://github.com/AralRalud/BASE.git.

In-sewer stability of 31 human health biomarkers and suitability for wastewater-based epidemiology

Monitoring urinary markers of dietary, disease, and stress by wastewater-based epidemiology (WBE) is a promising tool to better understand population health and wellbeing. However, common urinary biomarkers are subject to degradation in sewer systems and their fates have to be assessed before they can be used in WBE. This study investigated the stability of 31 urinary biomarkers (12 food biomarkers, 8 vitamins, 9 oxidative stress biomarkers, and 1 histamine biomarker) in a laboratory sewer sediment reactor and evaluated their suitability for WBE, considering their detectability in real wastewater and in-sewer stability. These biomarkers showed various transformation patterns, among which 16 compounds had half-lives <2 h while other 15 compounds presented moderate to high stability (2 to >500 h). Thirteen biomarkers showed potential for WBE because of their consistently measurable concentrations in untreated wastewater and sufficient in-sewer stability. Eighteen biomarkers were unsuitable due to their rapid in-sewer degradation and/or undetectable concentration levels in untreated wastewater using previous methods. Transformation rates of these biomarkers showed generally weak relationships with molecular properties but relatively higher correlations with biological activities in sewers. Overall, this study determined in-sewer stability of 31 health-related biomarkers through laboratory experiments, providing new findings to WBE for population health assessment.