Trajectory Patterns Research Articles

Childhood maltreatment and association with trajectories of depressive symptoms among older adults: a longitudinal study in China

Objectives Childhood maltreatment has long-lasting effects on mental health. Existing evidence suggests that trajectories of depressive symptoms vary among individuals; however, little is known about how childhood maltreatment shapes these trajectory patterns. Therefore, this study investigated the impacts of childhood maltreatment on eight-year depressive trajectories among Chinese older adults. Method Five waves of longitudinal data from the China Health and Retirement Longitudinal Study were utilized. Growth Mixture Modelling was performed to identify distinct trajectories of depressive symptoms, and multinomial logistic regression was conducted to explore the associations between these trajectories and childhood maltreatment. Results Four trajectories of depressive symptoms were identified: the ‘no symptoms’ class (61.83%), the ‘increasing symptoms’ class (14.49%), the ‘decreasing symptoms’ class (16.44%), and the ‘chronic symptoms’ class (7.24%). Older adults who experienced childhood physical abuse were more likely to be in the ‘chronic symptoms’ class than in the ‘no symptoms’ class, whereas emotional neglect did not show a significant association with three problematic trajectories. Conclusion This study provides empirical evidence that childhood physical abuse increases the likelihood of developing chronic depressive symptoms in later life. To mitigate this risk, it is crucial to institute comprehensive treatment plans that incorporate trauma-informed care principles, employ evidence-based therapies specifically designed to address the long-term effects of abuse, and prioritize regular screening and assessment of mental health among older adults.

Longitudinal progression trajectory of estimated glomerular filtration rate in children with chronic kidney disease: results from the KNOW-Ped CKD (KoreaN cohort study for Outcomes in patients With Pediatric Chronic Kidney Disease).

The natural course of chronic kidney disease (CKD) progression in children varies according to their underlying conditions. This study aims to identify different patterns of subsequent decline in kidney function and investigate factors associated with different patterns of estimated glomerular filtration rate (eGFR) trajectories. We analyzed data from the KNOW-Ped CKD (KoreaN cohort study for Outcomes in patients With Pediatric Chronic Kidney Disease), which is a longitudinal, prospective cohort study. A latent class linear mixed model was applied to identify the trajectory groups. In a total of 287 patients, the median baseline eGFR (mL/min/1.73 m2) was 63.3, and the median age was 11.5 years. The eGFR decline rate was -1.54 during a 6.0-year follow-up. The eGFR trajectory over time was classified into four groups. Classes 1 (n = 103) and 2 (n = 11) had a slightly reduced eGFR at enrollment with a stable trend (ΔeGFR, 0.2/year) and a rapid decline eGFR over time (ΔeGFR, -10.5/year), respectively. Class 3 had a normal eGFR (n = 16), and class 4 had a moderately reduced eGFR (n = 157); both these chasses showed a linear decline in eGFR over time (ΔeGFR, -4.1 and -2.4/year). In comparison with classes 1 and 2, after adjusting for age, causes of primary renal disease, and baseline eGFR, nephrotic-range proteinuria was associated with a rapid decline in eGFR (odds ratio, 8.13). We identified four clinically relevant subgroups of kidney function trajectories in children with CKD. Most children showed a linear decline in eGFR; however, there are different patterns of eGFR trajectories.

Trajectories of negative and positive experiences of caregiving for older adults with severe dementia: application of group-based multi-trajectory modelling.

Family caregivers of older adults with severe dementia have negative and positive experiences over the course of caregiving. We aimed to delineate joint trajectories (patterns over time) for negative and positive experiences, identify risk factors associated with membership of joint trajectories, and ascertain the association between joint trajectories and caregivers' outcomes after the death of the older adult. Two hundred fifteen family caregivers of older adults with severe dementia in Singapore were surveyed every 4 months for 2 years, and 6 months after the death of the older adult. Using group-based multi trajectory modelling, we delineated joint trajectories for positive (Gain in Alzheimer Care Instrument) and negative (sub-scales of modified Caregiver Reaction Assessment) experiences of caregiving. We identified four joint trajectories - "very high positive, low negative" (23% of caregivers), "high positive, moderate negative" (28%), "very high positive, moderate negative" (28%), and "high positive, high negative" (21%). Caregivers of older adults with more behavioural symptoms, and who did not receive strong emotional support from family were more likely to have "high positive, moderate negative" or "very high positive, moderate negative" trajectory. Compared to caregivers with "very high positive, low negative" trajectory, caregivers with "very high positive, moderate negative" or "high positive, high negative" trajectories expressed greater grief and distress, with the latter also having lower spiritual well-being and quality of life at 6 months after the death of the older adult. The caregiving experiences for older adults with severe dementia vary between caregivers but remain stable over time. Modifiable risk factors identified for trajectories involving negative experiences of caregiving may be targeted in future interventions to improve the experience of caregiving and caregiver quality of life and distress after the death of the older adult. http://www. gov (NCT03382223).

Malaysian Graduates Employability Challenges: A Critical Review

The COVID-19 pandemic has had far-reaching implications for individuals, societies, and economies, disrupting established patterns in education, employment, and career trajectories. This paper explores a narrative review of the literature that studied the graduates’ employability post pandemic. Narrative review is suitable to be applied in this study, as it tends to achieve exploratory research where a new or emerging field is explored, providing holistic perspective in which a wide range of studies is summarized, consequently synthesizing diverse evidence that highlight the trends across various studies. This review highlights the multifaceted challenges facing Malaysian graduates, emphasizing the far-reaching circumstance of the COVID-19 pandemic on graduates' employment dynamics. It underscores disparities in the quality of employment, wage gaps, and the vulnerability of workers in informal sectors. A range of factors impacting employability can be considered, including self-efficacy, curriculum support, employability skills development, and work placement learning. The study also explores the impact of postgraduate studies on employment prospects, gender disparities in employability skills, and the significance of soft skills and non-technical skills in aviation careers. Furthermore, it delves into how graduates' knowledge and soft skills development vary by education level and how emerging concepts like Industry 5.0 are reshaping the employment landscape. Confronting globalization and evolving labor market dynamics, graduates must embrace self-development and adaptability so forth meeting the changing needs of the job market.

Constraint-based high utility mobile trajectory pattern mining for security systems

In security system, high utility pattern mining of a large number of users mobile trajectories is helpful to analyze user behavior patterns, and enhance the internal prevention of the security system.Currently, the frequent pattern mining for mobile trajectory in security systems do not take into account the differences in the safety levels between staying points and the frequency of their occurrence. Existing high utility mobile trajectory pattern mining methods are unable to discover staying points that meet specific user requirements. To solve these problems, a constraint-based high utility mobile trajectory mining algorithm is proposed (names as HUIM-ILC-ACO). It takes into account the user’s stay time, stay frequency, and the safety level of each stopping point and calculates the utility value of each staying point by incorporating these factors through weighted computation. Based on this, the algorithm combines ant colony optimization with length constraints and item constraints to construct a method for mining high utility mobile trajectory patterns that better align with user interests. Experimental results on real datasets and a target mobile trajectory RFID dataset show that proposed algorithm is efficient in terms of runtime and pattern quantity, and it can effectively mine a pattern set that is closer to user interests.

Three-year trajectories of social networks, face-to-face interactions, and non-face-to-face interactions among community-dwelling older adults in Japan during the COVID-19 pandemic: Otassha study

ObjectivesTo investigate the trajectories of social networks and interactions among older Japanese individuals during the COVID-19 pandemic. Study designWe used data from a cohort of community-dwelling older individuals from the Otassha study's 2019–2022 survey. Participants comprised 606 older individuals who participated in the 2019 survey and were followed up at least once. Main outcome measuresSocial networks were assessed using the Lubben Social Network Scale-6 (LSNS-6), whereas social interactions were assessed by the frequency of face-to-face or non-face-to-face contact with non-resident family members and friends. Trajectories of the LSNS-6 and face-to-face and non-face-to-face interactions were identified using group-based semiparametric mixture modeling. The trajectories of change in the LSNS-6 from 2019 were also identified. The factors associated with the changes in trajectory patterns were examined using logistic regression analysis. ResultsThree LSNS-6 trajectories were identified, with slightly decreasing patterns over time. Specifically, face-to-face interactions tended to decrease over time, whereas non-face-to-face interactions exhibited almost no change. The reduction in LSNS-6 in the decreased pattern failed to recover to its pre-pandemic level. The group of participants with the decreased pattern had a significantly higher proportion of people participating in group activities [odds ratio (95 % confidence interval): 2.27 (1.12–4.59)] and performing calisthenics twice a week than the group with the maintained pattern [2.08 (1.18–3.68)]. ConclusionsDuring the three years of the pandemic, no changes were observed in the social networks of community-dwelling older Japanese individuals.

Deep learning classification for macrophage subtypes through cell migratory pattern analysis.

Macrophages can exhibit pro-inflammatory or pro-reparatory functions, contingent upon their specific activation state. This dynamic behavior empowers macrophages to engage in immune reactions and contribute to tissue homeostasis. Understanding the intricate interplay between macrophage motility and activation status provides valuable insights into the complex mechanisms that govern their diverse functions. In a recent study, we developed a classification method based on morphology, which demonstrated that movement characteristics, including speed and displacement, can serve as distinguishing factors for macrophage subtypes. In this study, we develop a deep learning model to explore the potential of classifying macrophage subtypes based solely on raw trajectory patterns. The classification model relies on the time series of x-y coordinates, as well as the distance traveled and net displacement. We begin by investigating the migratory patterns of macrophages to gain a deeper understanding of their behavior. Although this analysis does not directly inform the deep learning model, it serves to highlight the intricate and distinct dynamics exhibited by different macrophage subtypes, which cannot be easily captured by a finite set of motility metrics. Our study uses cell trajectories to classify three macrophage subtypes: M0, M1, and M2. This advancement holds promising implications for the future, as it suggests the possibility of identifying macrophage subtypes without relying on shape analysis. Consequently, it could potentially eliminate the necessity for high-quality imaging techniques and provide more robust methods for analyzing inherently blurry images.

Exploring the Impact of Rainfall on Vehicle Trajectory Patterns and Sideslip Risk: An Empirical Investigation

Understanding the sideslip risks of various trajectory patterns, as well as the impact of rainfall on them, is critical for improving road safety. However, the lack of precise classification indicators hampers systematic analysis of the variations in vehicle trajectory patterns. To address this, this study proposes a parameterized classification method for trajectories on curved segments, employing the radius and offset of the trajectory as the primary classification features and dividing the trajectories into nine patterns. These patterns represent variations from smaller to larger radii and inside to outside lane offsets, reflecting different driving behaviors and vehicle stability during vehicle cornering. Concurrently, the friction coefficient utilization rate is used to effectively compare vehicles’ sideslip risk under different weather conditions. Based on this, we construct a framework using computer vision technology for automatically identifying trajectory patterns and measuring sideslip risk. We conducted an empirical study on a highway-curved segment with high sideslip risk in China and collected two datasets under clear and rainy conditions for analysis. The classification results show that the proposed method can effectively classify trajectories according to nine trajectory patterns. Comparative analysis reveals that vehicle trajectories in both the inside and outside lanes are notably more affected by rainfall compared to the middle lane. Meanwhile, trucks demonstrate a higher susceptibility to rainfall than cars. In addition, the analysis of the sideslip risk for different trajectory patterns discovers several high-risk patterns. This study provides an effective approach for monitoring and analyzing the sideslip risk on curved segments, thereby contributing to the enhancement of road design and traffic safety management.

VISUALIZING HETEROGENEOUS TRAJECTORIES OF SUBJECTS WITH SURGICAL RELAPSE IN INFLAMMATORY BOWEL DISEASE FROM UK BIOBANK GENERAL PRACTICE DATA

Abstract BACKGROUND AND AIMS The United Kingdom (UK) Biobank (UKBB) is a large-scale biomedical database and research resource, containing in-depth health information from half a million participants in UK that have been used for detailed analyses of IBD. Using the UKBB, we examined the lab findings and prescription medication use in IBD subjects to identify trajectory patterns of disease with respect to surgical relapse. METHODS Of the 363 subjects in the UKBB with an established IBD diagnosis (UC, CD, or both) and an initial GI surgery, 116 had a subsequent surgery within 5 years of initial surgery and had follow up lab values of urine and serum creatinine, plasma and serum C-reactive protein, urine and serum albumin, urine albumin-creatinine ratio, total white blood count, urine microalbumin, total white cell count, hemoglobin estimation, and erythrocyte sedimentation rate. Additionally, data for the 9 most used IBD prescription medications: budesonide, sulfasalazine, methotrexate, hydrocortisone, balsalazide, olsalazine, prednisolone, azathioprine, and mesalamine was analyzed as well. Hidden Markov Models (HMM) using these variables and open-source packages were incorporated to label observations of each subject-visit until the subsequent surgery. Interactive visualizations using DPVis open-source package were then applied to identify individual trajectories and explore clinical characteristics. RESULTS Five hidden states were observed from HMM. The five states observed are based on differing prescription medication usage for the treatment of IBD and were assigned a color to allow for comparison (Figure 1). The majority of patients fell within the states labeled “blue” (azathioprine, sulfasalazine, and prednisone) “red” (mesalamine only) or “purple” (azathioprine, balsalazide, and prednisolone). The visualizer showed that while some transitions among states were observed, most patients fell into one of three major trajectory patterns as a factor of time to surgical relapse and were largely segregated by state. Based on the trajectories, a comparison of subjects with prescription of mesalamine-only vs. any immunosuppressive medications (azathioprine + sulfasalazine + balsalazide) in combination with prednisolone showed a significant difference in time to surgical relapse (P < 0.005) (Figure 2), with a shorter time to surgical relapse identified in patients who took mesalamine only. CONCLUSIONS We identified three distinct trajectories leading up to surgical relapse. These trajectories show distinctive medication prescription patterns (5-ASA vs. Azathioprine with steroid use), as well as significantly different times to surgical relapse. Furthermore, heterogeneity is shown within each trajectory pattern in terms of progression time and warrant further investigation. Figure 1 Three Trajectories of time to surgical relapse generated from 5-State HMM using lab values and prescription medications. Note that a patient can traverse multiple states so the summation of the observed subjects of those states exceeds the cohort size (N=116). Figure 2 Kaplan-Meier curves for the UC/CD subgroup with surgical relapse considering events from the first documented lab values and/or planned prescription at most 2 years prior to the baseline surgery up to the subsequent 5 years.

Suicidal Thoughts and Trajectories of Psychopathological and Behavioral Symptoms in Adolescence

The suicidal risk of psychopathology in adolescence is suggested to differ based on its longitudinal trajectory, but the comorbidity of these symptom trajectories has not been well examined. This study comprehensively clustered trajectories of multiple psychopathological and behavioral symptoms and examined their associations with suicidal thoughts in adolescence. To determine which categories and trajectories of psychopathological and behavioral symptoms are associated with suicidal thoughts in adolescence, accounting for comorbid symptoms. This population-based cohort study in Japan used data from the Tokyo Teen Cohort (TTC) study, which was established in 2012 and is currently ongoing. Data from 3 waves of surveys conducted at ages 10, 12, and 16 years from October 2012 to September 2021 were used. Of the adolescents in the cohort, participants with at least 2 evaluations of psychopathological and behavioral symptoms were included. Data were analyzed from December 2022 to March 2023. Latent class growth analysis was used to cluster the trajectory of each psychopathological and behavioral symptom. The associations between symptom trajectories and suicidal thoughts at age 16 were examined. Suicidal thoughts were assessed using a self-report questionnaire. Psychopathological and behavioral symptoms were assessed using the 8 subscale scores of the caregiver-report Child Behavior Checklist. This study included 2780 adolescents (1306 female participants [47.0%]). Of the 1920 adolescents with data on suicidal thoughts, 158 (8.2%) had suicidal thoughts. The median (IQR) age was 10.2 (10.0-10.3) years at the first evaluation, 11.9 (11.8-12.1) years at the second evaluation, and 16.3 (16.1-16.5) years at the last evaluation. The clustering pattern of trajectories varied depending on symptom categories. After adjusting for each symptom trajectory and confounders, adolescents with persistent high withdrawn symptoms (odds ratio [OR], 1.88; 95% CI, 1.10-3.21) and those with increasing somatic symptoms (OR, 1.97; 95% CI, 1.16-3.34) had a significantly higher risk of suicidal thoughts than adolescents without these symptoms. There was no interaction between these symptom trajectories and the risk of suicidal thoughts. This cohort study found that persistent withdrawn symptoms and increasing somatic symptoms during early to midadolescence were associated with an increased risk of suicidal thoughts in midadolescence, even after accounting for comorbid symptoms and confounders. Attention should be paid to the suicidal risk associated with these symptoms, particularly when they persist or increase in the longitudinal follow-up.

Place of care in the last three years of life for Medicare beneficiaries

BackgroundMost older adults prefer aging in place; however, patients with advanced illness often need institutional care. Understanding place of care trajectory patterns may inform patient-centered care planning and health policy decisions. The purpose of this study was to characterize place of care trajectories during the last three years of life.MethodsLinked administrative, claims, and assessment data were analyzed for a 10% random sample cohort of US Medicare beneficiaries who died in 2018, aged fifty or older, and continuously enrolled in Medicare during their last five years of life. A group-based trajectory modeling approach was used to classify beneficiaries based on the proportion of days of institutional care (hospital inpatient or skilled nursing facility) and skilled home care (home health care and home hospice) used in each quarter of the last three years of life. Associations between group membership and sociodemographic and clinical predictors were evaluated.ResultsThe analytic cohort included 199,828 Medicare beneficiaries. Nine place of care trajectory groups were identified, which were categorized into three clusters: home, skilled home care, and institutional care. Over half (59%) of the beneficiaries were in the home cluster, spending their last three years mostly at home, with skilled home care and institutional care use concentrated in the final quarter of life. One-quarter (27%) of beneficiaries were in the skilled home care cluster, with heavy use of skilled home health care and home hospice; the remaining 14% were in the institutional cluster, with heavy use of nursing home and inpatient care. Factors associated with both the skilled home care and institutional care clusters were female sex, Black race, a diagnosis of dementia, and Medicaid insurance. Extended use of skilled home care was more prevalent in southern states, and extended institutional care was more prevalent in midwestern states.ConclusionsThis study identified distinct patterns of place of care trajectories that varied in the timing and duration of institutional and skilled home care use during the last three years of life. Clinical, socioregional, and health policy factors influenced where patients received care. Our findings can help to inform personal and societal care planning.

Association between alcohol consumption and latent fasting blood glucose trajectories among midlife women.

This investigation sought to elucidate the correlations between alcohol intake and trajectories of fasting blood glucose (FBG) among American women in midlife. Our analysis was rooted in the foundational data from the Study of Women's Health Across the Nation (SWAN), a comprehensive longitudinal study centered on US women during their midlife transition. We employed group-based trajectory modeling to chart the FBG trajectories spanning from 1996 to 2005. Employing logistic regression, we gauged the odds ratios (ORs) and 95% confidence intervals (CIs) to draw connections between initial alcohol consumption and FBG trajectory patterns, whilst controlling for predominant potential confounders. Our cohort comprised 2,578 women in midlife, ranging in age from 42 to 52, each having a minimum of three subsequent FPG assessments. We discerned two distinct FBG trajectories: a low-stable pattern (n = 2,467) and a high-decreasing pattern (n = 111). Contrasted with the low-stable group, our data showcased an inverse relationship between alcohol intake and the high-decreasing FBG trajectory in the fully adjusted model 3. The most pronounced reduction was evident in the highest tertile of daily servings of alcoholic beverages (OR: 0.23, 95% CI: 0.10-0.52, p < 0.001), percentage of kilocalories sourced from alcoholic beverages (OR: 0.30, 95% CI: 0.16-0.58, p < 0.001), and daily caloric intake from alcoholic beverages (OR: 0.31, 95% CI: 0.16-0.62, p < 0.001). Moderate alcohol consumption may protect against high FPG trajectories in middle-aged women in a dose-response manner. Further researches are needed to investigate this causality in midlife women.

Visual Analysis Method for Traffic Trajectory with Dynamic Topic Movement Patterns Based on the Improved Markov Decision Process

The visual analysis of trajectory topics is helpful for mining potential trajectory patterns, but the traditional visual analysis method ignores the evolution of the temporal coherence of the topic. In this paper, a novel visual analysis method for dynamic topic analysis of traffic trajectory is proposed, which is used to explore and analyze the traffic trajectory topic and evolution. Firstly, the spatial information is integrated into trajectory words, calculating the dynamic trajectory topic model based on dynamic analysis modeling and, consequently, correlating the evolution of the trajectory topic between adjacent time slices. Secondly, in the trajectory topic, a representative trajectory sequence is generated to overcome the problem of the trajectory topic model not considering the word order, based on the improved Markov Decision Process. Subsequently, a set of meaningful visual codes is designed to analyze the trajectory topic and its evolution through the parallel window visual model from a spatial-temporal perspective. Finally, a case evaluation shows that the proposed method is effective in analyzing potential trajectory movement patterns.

Examining Reactivity and Recovery Patterns of Pain-Evoked Cortisol and Alpha-Amylase Trajectories: Relations Between Psychological Markers of Risk and Resilience

Chronic low back pain (cLBP) is one of the leading causes of disability globally and represents an enormous burden to aging adults. While numerous factors contribute to cLBP, dysregulation in the hypothalamic-pituitary-adrenal axis and autonomic nervous system functioning have been implicated in its pathogenesis. It is well documented that negative psychological states can modulate biological stress responsivity in chronic pain; however, little is known regarding the influence of positive psychological factors in this relationship. The aim of this study was to examine the association between psychological risk and resilience factors with patterns of physiological stress reactivity and recovery in 60 older adults with cLBP. Participants completed measures of hope, optimism, pain catastrophizing, and perceived stress, and underwent psychophysical pain testing assessing responses to painful pressure, heat, and cold stimuli. Salivary samples were obtained prior to pain induction and at 7 time points spanning 90 minutes after pain testing terminated. To examine reactivity and recovery profiles in hypothalamic-pituitary-adrenal axis and autonomic nervous system function, samples were assayed for cortisol and alpha-amylase, respectively. Results revealed higher levels of hope and optimism were associated with increased cortisol reactivity (p’s < .003) and more rapid recovery (p’s = .001). Further, pain catastrophizing and perceived stress were associated with cortisol reactivity, with lower levels of these factors predicting larger increases in cortisol from baseline to peak levels (p’s < .04). No significant differences in reactivity or recovery patterns emerged for alpha-amylase. Overall, findings highlight the role of psychological risk and resilience factors in modulating physiological stress reactivity. PerspectiveThis article investigated whether psychosocial risk and resilience factors were associated with stress reactivity and recovery in response to laboratory-based pain testing in older adults with chronic low back pain. Results indicate that high resilience factors may be protective by modulating adrenocortical reactivity and recovery profiles.

Trajectories of Intergenerational Emotional Closeness in Multi-Child Aging Families in China.

Intergenerational emotional closeness (IEC) in multi-child families manifests not only in the overall parent-child relationship but also by the extent of its within-family differentiation. This study aimed to identify distinct trajectories of collective IEC in multi-child families and to examine its potential associated factors. The study used four waves of the China Family Panel Studies (2010-2018). Based on a sample of 3474 older adults (age >60), growth mixture modelling and logistic regression were conducted. Two latent trajectory patterns of IEC were identified: increasingly tight-knit (93%) and persistently collectively ambivalent (7%). Compared to the latter trajectory, older adults who had a married/cohabiting partner, had better health and received support from all children, were more likely to have increasingly tight-knit trajectories of IEC. The study tells a story more about emotional cohesion between Chinese older adults and multiple offspring over time. Aging families experiencing persistently collectively ambivalent IEC deserve more attention.

Exploring Spatial and Temporal Dynamics of Red Sea Air Quality through Multivariate Analysis, Trajectories, and Satellite Observations

The Red Sea, a significant ecoregion and vital marine transportation route, has experienced a consistent rise in air pollution in recent years. Hence, it is imperative to assess the spatial and temporal distribution of air quality parameters across the Red Sea and identify temporal trends. This study concentrates on utilizing multiple satellite observations to gather diverse meteorological data and vertical tropospheric columns of aerosols and trace gases, encompassing carbon monoxide (CO), nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3). Furthermore, the study employs the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model to analyze the backward trajectory of air mass movement, aiding in the identification of significant sources of air pollutants. A principal component analysis (PCA) with varimax rotation is applied to explore the relationship and co-variance between the aerosol index (AI), trace gas concentrations, and meteorological data. The investigation reveals seasonal and regional patterns in the tropospheric columns of trace gases and AI over the Red Sea. The correlation analysis indicates medium-to-low positive correlations (0.2 &lt; r &lt; 0.6) between air pollutants (NO2, SO2, and O3) and meteorological parameters, while negative correlations (−0.3 &lt; r &lt; −0.7) are observed between O3, aerosol index, and wind speed. The results from the HYSPLIT model unveil long-range trajectory patterns. Despite inherent limitations in satellite observations compared to in situ measurements, this study provides an encompassing view of air pollution across the Red Sea, offering valuable insights for future researchers and policymakers.

Men with nonobstructive coronary disease have higher burden of ischemic heart disease detected by cardiopulmonary exercise test.

Nonobstructive coronary artery disease (NOCAD), characterized by the presence of myocardial ischemic symptoms and signs without obstructive coronaries, is a common clinical condition, but it is less well understood. Few studies have analyzed the gender differences in inducible myocardial ischemia assessed by cardiopulmonary exercise test (CPET) in NOCAD. We conducted a study of 289 NOCAD patients (mean age 60, 56% women) with ischemic symptoms and confirmed ⫹50% coronaries stenoses by coronary angiography who underwent symptom-limited CPET. We assessed ischemic response using predicted % peak VO2 , O2 pulse trajectory, and exercise ECG test. Men with NOCAD had significantly lower predicted % peak VO2 (62% vs. 73%), higher proportions of flattening pattern (16% vs. 2%), and downward patterns of O2 pulse trajectory (2% vs. 0%) (p < .0001) compared with women. In contrast, women with NOCAD had a higher prevalence of shallow patterns of O2 pulse trajectory (21% vs. 6%, p < .0001). Men with NOCAD had a higher risk ischemic profile (medium risk: 63% vs. 54%, high risk: 18% vs. 4%, p < .0001). After adjustment, men with NOCAD had significantly lower predicted % peak VO2 (β -27.4, 95% CI -30.74 to -24.07), higher risk for abnormal O2 pulse trajectories (OR 4.21, 95% CI 1.93 to 9.19), and myocardial ischemia risk per CPET parameters (OR 3.14, 95% CI 1.78 to 5.54) (p < .0001). Men with NOCAD had a higher risk profile for ischemic heart disease per CPET. Therefore, they should receive rigorous management and follow-up to prevent cardiovascular events.

A contrast in sea ice drift and deformation between winter and spring of 2019 in the Antarctic marginal ice zone

Abstract. Two ensembles of buoys, deployed in the marginal ice zone (MIZ) of the north-eastern Weddell Sea region of the Southern Ocean, are analysed to characterise the dynamics driving sea ice drift and deformation during the winter-growth and the spring-retreat seasons of 2019. The results show that although the two buoy arrays were deployed within the same region of ice-covered ocean, their trajectory patterns were vastly different. This indicates a varied response of sea ice in each season to the local winds and currents. Analyses of the winter data showed that the Antarctic Circumpolar Current modulated the drift near the sea ice edge. This led to a highly energetic and mobile ice cover, characterised by free-drift conditions. The resulting drift and deformation were primarily driven by large-scale atmospheric forcing, with negligible contributions due to the wind-forced inertial response. For this highly advective coupled ice–ocean system, ice drift and deformation linearly depended on atmospheric forcing. We also highlight the limits of commercial floating ice velocity profilers in this regime since they may bias the estimates of sea ice drift and the ice type detection. On the other hand, the spring drift was governed by the inertial response as increased air temperatures caused the ice cover to melt and break up, promoting a counterintuitively less wind-driven ice–ocean system that was more dominated by inertial oscillations. In fact, the deformation spectra indicate a strong decoupling to large-scale atmospheric forcing. Further analyses, extended to include the deformation datasets from different regions around Antarctica, indicate that, for similar spatial scales, the magnitude of deformation varies between seasons, regions, and the proximity to the sea ice edge and the coastline. This implies the need to develop rheology descriptions that are aware of the ice types in the different regions and seasons to better represent sea ice dynamics in the MIZ.

Integrated proteogenomic characterization of glioblastoma evolution

The evolutionary trajectory of glioblastoma (GBM) is a multifaceted biological process that extends beyond genetic alterations alone. Here, we perform an integrative proteogenomic analysis of 123 longitudinal glioblastoma pairs and identify a highly proliferative cellular state at diagnosis and replacement by activation of neuronal transition and synaptogenic pathways in recurrent tumors. Proteomic and phosphoproteomic analyses reveal that the molecular transition to neuronal state at recurrence is marked by post-translational activation of the wingless-related integration site (WNT)/ planar cell polarity (PCP) signaling pathway and BRAF protein kinase. Consistently, multi-omic analysis of patient-derived xenograft (PDX) models mirror similar patterns of evolutionary trajectory. Inhibition of B-raf proto-oncogene (BRAF) kinase impairs both neuronal transition and migration capability of recurrent tumor cells, phenotypic hallmarks of post-therapy progression. Combinatorial treatment of temozolomide (TMZ) with BRAF inhibitor, vemurafenib, significantly extends the survival of PDX models. This study provides comprehensive insights into the biological mechanisms of glioblastoma evolution and treatment resistance, highlighting promising therapeutic strategies for clinical intervention.

Ideal 24-h physical activity trajectory reduces all-cause, cause-specific mortality and cardiovascular outcomes through aging deceleration and inflammation regulation: A UK biobank study

BackgroundPhysical activity (PA) is associated with mortality and cardiovascular disease (CVD). However, the effect of circadian PA trajectories remains ambiguous. This study aimed to explore ideal circadian PA patterns to reduce mortality and CVD, and potential mediators. Methods502,400 participants from UK Biobank were recruited between 2006 and 2010. Among them, 102,323 participants got valid continuously capturing acceleration data over 7 days by wrist-worn accelerometer. K-means cluster analysis was used to identify PA trajectories. The associations of PA with all-cause, cause-specific mortality and CVD were assessed by cox regression. A sensitivity test was also conducted, starting from the time of acceleration collection and excluding participants with corresponding disease prior to it. Furthermore, the mediation of aging and inflammation were explored. ResultsDuring a median follow-up of 12.9 years, 3482 deaths were recorded (704 were due to CVD). Five distinct PA trajectories were identified: Persistently Low, Moderate and Stable, Single Increase, Double Increase, and Vigorous patterns. Ideal PA trajectory patterns offered progressively protective benefits against all-cause, CVD caused mortality and CVD, especially in Double Increase and Vigorous patterns. Other cause-specific mortality and renal failure incidence showed similar trend. The sensitivity result was consistent. The mediating effects of phenotypic age and inflammation markers were statistically significant. ConclusionIdeal PA trajectories offered protective benefits against all-cause, cause-specific mortality and CVD. The protection was associated with both intensity and circadian distribution. Double Increase and Vigorous activity patterns decreased these risks more significantly. Crucially, this protection was mediated by aging deceleration and inflammation regulation.