bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Association of the 24-Hour Activity Cycle Profiles With Cognition in Older Adults With Mild Cognitive Impairment: A Cross-Sectional Study
Authors: Balbim Guilherme Moraes , Falck Ryan S , Boa Sorte Silva Nárlon Cássio , Kramer Arthur F , Voss Michelle , Liu-Ambrose Teresa 
Published: April 2024

Abstract

Background
The relationship of cognition and the 24-h activity cycle (24-HAC), encompassing physical activity, sedentary behavior, and sleep, in older adults with mild cognitive impairment (MCI) remains uncertain. Distinct combinations of 24-HAC behaviors can characterize unique activity profiles and influence cognition. We aimed to characterize 24-HAC activity profiles in older adults with MCI and assess whether differences in cognition exist across profiles.

Methods
We conducted a cross-sectional analysis utilizing baseline data from 3 randomized controlled trials involving 253 community-dwelling older adults (55 + years) with MCI (no functional impairment, dementia diagnosis, and Montreal Cognitive Assessment score &lt;26/30). Using MotionWatch8© wrist-worn actigraphy (+5 days), we captured the 24-HAC. Cognition was indexed by the Alzheimer’s Disease Assessment Scale Cognitive Plus (ADAS-Cog-Plus). Compositional data and latent profile analyses identified distinct 24-HAC activity profiles. Analysis of covariance examined whether 24-HAC activity profiles differed in cognition.

Results
Four distinct activity profiles were identified. Profile 1 (“Average 24-HAC,” n = 103) engaged in all 24-HAC behaviors around the sample average. Profile 2 (“Active Chillers,” n = 70) depicted lower-than-average engagement in physical activity and higher-than-average sedentary behavior. Profile 3 (“Physical Activity Masters,” n = 54) were the most active and the least sedentary. Profile 4 (“Sedentary Savants,” n = 26) were the least active and the most sedentary. Sleep was similar across profiles. There were no significant differences in ADAS-Cog-Plus scores between 24-HAC activity profiles (p &gt; .05).

Conclusions
Older adults with MCI exhibited four 24-HAC activity profiles conforming to recommended physical activity and sleep guidelines. Nonetheless, cognition was similar across these profiles.
Racial/Ethnic Differences in Self-Reported Upper Limb Limitations Among U.S. Older Adults
Authors: Logue Cook Rachel N , Davis Matthew A , Hasson Rebecca E , Kinnett-Hopkins Dominique , Brown Susan H 
Published: April 2024

Abstract

Background
The development of disability related to activities of daily living (ADL) is of great concern in the aging population, particularly for Hispanic and Non-Hispanic (NH) Black older adults, where disability prevalence is greater compared to NH Whites. ADL-disability is typically measured across many functional tasks without differentiating upper- versus lower-limb limitations, hindering our understanding of disability burden. Despite the importance of the upper limbs for completing ADL and known age-related declines in function, racial/ethnic differences in upper limb function remain largely unknown.

Methods
We identified 4 292 NH White, NH Black, and Mexican American older adults (≥65) from the 2011–2018 waves of the National Health and Nutrition Examination Survey (NHANES). We classified participants as having a limitation based on their ability to complete 5 upper-limb tasks (preparing meals, eating, dressing, reaching overhead, and grasping small objects) and compared limitation rates across racial/ethnic groups.

Results
Compared to NH Whites, NH Black older adults had significantly greater odds of reporting difficulties preparing meals (odds ratio [OR]: 1.36, 95% confidence interval [95% CI]: 1.01, 1.86) and dressing (OR: 1.55, 95% CI: 1.19, 2.02), while Mexican Americans had greater difficulty preparing meals (OR: 1.70, 95% CI: 1.12, 2.58), dressing (OR: 1.63, 95% CI: 1.12, 2.36), and grasping small objects (OR: 1.48, 95% CI: 1.06, 2.07).

Conclusions
Our results demonstrate differences in self-reported upper limb ADL-disability across racial/ethnic groups, particularly for Mexican American older adults. Such findings underscore the need for routine monitoring of upper limb function throughout adulthood to identify limitations and target therapeutic interventions before independence is compromised.
How False Memory and True Memory Affect Decision Making in Older Adults: A Dissociative Account
Authors: Wang Jianqin , Gutchess Angela 
Published: April 2024

Abstract

Objectives
Remembering past rewarding experiences plays a crucial rule in guiding people’s decision making in the future. However, as people age, they become less accurate in remembering past events and more susceptible to forming false memories. An important question is how the decline of episodic memory and the increase of false memory may affect older adults’ decision-making performance.

Methods
The current study used a newly developed paradigm in which the Deese–Roediger–McDermott (DRM) false memory paradigm was combined with a reward learning task to create robust false memories of rewarding experiences. Participants learned that some DRM picture lists brought them a monetary reward and some DRM picture lists did not bring reward. Later, their memories were tested and decision-making preferences were measured.

Results
We found that older and younger adults had almost equivalent false and true memories under the rewarding context, but older adults showed significantly lower decision-making preferences for lure pictures and rewarded pictures than younger adults. Furthermore, true and false memories were a stronger predictor of decision-making preferences for younger than for older adults.

Discussion
These results together suggest an age-related dissociation between memory and decision making that older adults may be less efficient in using their memory to guide decision making than younger adults. Future research may further investigate its underlying mechanisms and develop potential interventions aiming at strengthening the connection between memory and decision making in older adults to help improve their decision-making performance.
Unfair knowledge practices in global health: a realist synthesis
Authors: Abimbola Seye , van de Kamp Judith , Lariat Joni , Rathod Lekha , Klipstein-Grobusch Kerstin , van der Graaf Rieke , Bhakuni Himani 
Published: April 2024

Abstract
Unfair knowledge practices easily beset our efforts to achieve health equity within and between countries. Enacted by people from a distance and from a position of power (‘the centre’) on behalf of and alongside people with less power (‘the periphery’), these unfair practices have generated a complex literature of complaints across various axes of inequity. We identified a sample of this literature from 12 journals and systematized it using the realist approach to explanation. We framed the outcome to be explained as ‘manifestations of unfair knowledge practices’; their generative mechanisms as ‘the reasoning of individuals or rationale of institutions’; and context that enable them as ‘conditions that give knowledge practices their structure’. We identified four categories of unfair knowledge practices, each triggered by three mechanisms: (1) credibility deficit related to pose (mechanisms: ‘the periphery’s cultural knowledge, technical knowledge and “articulation” of knowledge do not matter’), (2) credibility deficit related to gaze (mechanisms: ‘the centre’s learning needs, knowledge platforms and scholarly standards must drive collective knowledge-making’), (3) interpretive marginalization related to pose (mechanisms: ‘the periphery’s sensemaking of partnerships, problems and social reality do not matter’) and (4) interpretive marginalization related to gaze (mechanisms: ‘the centre’s learning needs, social sensitivities and status preservation must drive collective sensemaking’). Together, six mutually overlapping, reinforcing and dependent categories of context influence all 12 mechanisms: ‘mislabelling’ (the periphery as inferior), ‘miseducation’ (on structural origins of disadvantage), ‘under-representation’ (of the periphery on knowledge platforms), ‘compounded spoils’ (enjoyed by the centre), ‘under-governance’ (in making, changing, monitoring, enforcing and applying rules for fair engagement) and ‘colonial mentality’ (of/at the periphery). These context–mechanism–outcome linkages can inform efforts to redress unfair knowledge practices, investigations of unfair knowledge practices across disciplines and axes of inequity and ethics guidelines for health system research and practice when working at a social or physical distance.
Effectiveness and Safety of Semaglutide for Weight Loss in Patients With Inflammatory Bowel Disease and Obesity
Authors: Desai Aakash , Khataniar Himsikhar , Hashash Jana G , Farraye Francis A , Regueiro Miguel , Kochhar Gursimran S 
Published: April 2024

Abstract

Background
Semaglutide, a glucagon-like peptide-1 receptor agonist, has shown sustained and clinically significant weight loss in the general population. There are limited data on outcomes of its use in patients with inflammatory bowel disease (IBD).

Methods
A retrospective cohort study was conducted between June 4, 2021, and December 11, 2023, using TriNetX, a U.S. multi-institutional database in patients with obesity who had IBD compared with patients without IBD. The primary aim was to assess the mean total body weight (TBW) change between 6 and 15 months from initiation of semaglutide compared with baseline between the 2 cohorts. One-to-one (1:1) propensity score matching was performed for demographics, comorbid conditions, smoking status, and mean body mass index. A 2-sample t test was performed to assess mean TBW change from baseline, with a P value &lt;.05 considered to be statistically significant. We also compared the risk of IBD-specific outcomes with and without semaglutide use in patients with IBD.

Results
Out of 47 424 patients with IBD and obesity, 150 (0.3%) patients were prescribed semaglutide (mean age 47.4 ± 12.2 years; mean TBW 237 ± 54.8 pounds; mean body mass index 36.9 ± 6.5 kg/m2; 66% Crohn’s disease). There was no difference in mean TBW change after initiation of semaglutide in the IBD and non-IBD cohorts (−16 ± 13.4 pounds vs −18 ± 12.7 pounds; P = .24). There was no difference in mean TBW change between 6 and 12 months (−16 ± 13 pounds vs −15 ± 11.2 pounds; P = .24) and 12 and 15 months (−20 ± 13.2 pounds vs −21 ± 15.3 pounds; P = .49) between the 2 cohorts. There was no difference in the risk of oral or intravenous steroid use and any-cause hospitalization in the semaglutide group compared with the group without semaglutide use in patients with IBD.

Conclusion
Semaglutide use is effective in patients with IBD and obesity similar to patients without IBD, with &gt;5% mean weight loss. There was no increased risk of IBD-specific adverse events with semaglutide use.
Impacts of Quaternary Climatic Changes on the Diversification of Riverine Cichlids in the Lower Congo River
Authors: Kurata Naoko P , Stiassny Melanie L J , Hickerson Michael J , Alter S Elizabeth 
Published: April 2024

Synopsis
Climatic and geomorphological changes during the Quaternary period impacted global patterns of speciation and diversification across a wide range of taxa, but few studies have examined these effects on African riverine fish. The lower Congo River is an excellent natural laboratory for understanding complex speciation and population diversification processes, as it is hydrologically extremely dynamic and recognized as a continental hotspot of diversity harboring many narrowly endemic species. A previous study using genome-wide SNP data highlighted the importance of dynamic hydrological regimes to the diversification and speciation in lower Congo River cichlids. However, historical climate and hydrological changes (e.g., reduced river discharge during extended dry periods) have likely also influenced ichthyofaunal diversification processes in this system. The lower Congo River offers a unique opportunity to study climate-driven changes in river discharge, given the massive volume of water from the entire Congo basin flowing through this short stretch of the river. Here, we, for the first time, investigate the impacts of paleoclimatic factors on ichthyofaunal diversification in this system by inferring divergence times and modeling patterns of gene flow in four endemic lamprologine cichlids, including the blind cichlid, Lamprologus lethops. Our results suggest that Quaternary climate changes associated with river discharge fluctuations may have impacted the diversification of species along the system and the emergence of cryptophthalmic phenotype in some endemic species. Our study, using reduced representation sequencing (2RADseq), indicates that the lower Congo River lamprologines emerged during the Early-Middle Pleistocene transition, characterized as one of the earth’s major climatic transformation periods. Modeling results suggest that gene flow across populations and between species was not constant but occurred in temporally constrained pulses. We show that these results correlate with glacial–interglacial fluctuations. The current hyper-diverse fish assemblages of the lower Congo River riverscape likely reflect the synergistic effects of multiple drivers fueling complex evolutionary processes through time.
Influence of age and sex on longitudinal metabolic profiles and body weight trajectories in the UK Biobank
Authors: Mäkinen Ville-Petteri , Ala-Korpela Mika 
Published: April 2024

Abstract

Background
Accurate characterization of how age influences body weight and metabolism at different stages of life is important for understanding ageing processes. Here, we explore observational longitudinal associations between metabolic health and weight from the fifth to the seventh decade of life, using carefully adjusted statistical designs.

Methods
Body measures and biochemical data from blood and urine (220 measures) across two visits were available from 10 104 UK Biobank participants. Participants were divided into stable (within ±4% per decade), weight loss and weight gain categories. Final subgroups were metabolically matched at baseline (48% women, follow-up 4.3 years, ages 41–70; n = 3368 per subgroup) and further stratified by the median age of 59.3 years and sex.

Results
Pulse pressure, haemoglobin A1c and cystatin-C tracked ageing consistently (P &lt; 0.0001). In women under 59, age-associated increases in citrate, pyruvate, alkaline phosphatase and calcium were observed along with adverse changes across lipoprotein measures, fatty acid species and liver enzymes (P &lt; 0.0001). Principal component analysis revealed a qualitative sex difference in the temporal relationship between body weight and metabolism: weight loss was not associated with systemic metabolic improvement in women, whereas both age strata converged consistently towards beneficial (weight loss) or adverse (weight gain) phenotypes in men.

Conclusions
We report longitudinal ageing trends for 220 metabolic measures in absolute concentrations, many of which have not been described for older individuals before. Our results also revealed a fundamental dynamic sex divergence that we speculate is caused by menopause-driven metabolic deterioration in women.
Spatial Bayesian distributed lag non-linear models (SB-DLNM) for small-area exposure-lag-response epidemiological modelling
Authors: Quijal-Zamorano Marcos , Martinez-Beneito Miguel A , Ballester Joan , Marí-Dell’Olmo Marc 
Published: April 2024

Abstract

Background
Distributed lag non-linear models (DLNMs) are the reference framework for modelling lagged non-linear associations. They are usually used in large-scale multi-location studies. Attempts to study these associations in small areas either did not include the lagged non-linear effects, did not allow for geographically-varying risks or downscaled risks from larger spatial units through socioeconomic and physical meta-predictors when the estimation of the risks was not feasible due to low statistical power.

Methods
Here we proposed spatial Bayesian DLNMs (SB-DLNMs) as a new framework for the estimation of reliable small-area lagged non-linear associations, and demonstrated the methodology for the case study of the temperature-mortality relationship in the 73 neighbourhoods of the city of Barcelona. We generalized location-independent DLNMs to the Bayesian framework (B-DLNMs), and extended them to SB-DLNMs by incorporating spatial models in a single-stage approach that accounts for the spatial dependence between risks.

Results
The results of the case study highlighted the benefits of incorporating the spatial component for small-area analysis. Estimates obtained from independent B-DLNMs were unstable and unreliable, particularly in neighbourhoods with very low numbers of deaths. SB-DLNMs addressed these instabilities by incorporating spatial dependencies, resulting in more plausible and coherent estimates and revealing hidden spatial patterns. In addition, the Bayesian framework enriches the range of estimates and tests that can be used in both large- and small-area studies.

Conclusions
SB-DLNMs account for spatial structures in the risk associations across small areas. By modelling spatial differences, SB-DLNMs facilitate the direct estimation of non-linear exposure-response lagged associations at the small-area level, even in areas with as few as 19 deaths. The manuscript includes an illustrative code to reproduce the results, and to facilitate the implementation of other case studies by other researchers.
Hepatitis B Virus and Hepatitis C Virus Affect Mitochondrial Function Through Different Metabolic Pathways, Explaining Virus-Specific Clinical Features of Chronic Hepatitis
Authors: Selvamani Sakthi Priya , Khan Anis , Tay Enoch S E , Garvey Matthew , Ajoyan Harout , Diefenbach Eve , Gloss Brian S , Tu Thomas , George Jacob , Douglas Mark W 
Published: April 2024

Abstract

Background
Hepatitis C virus (HCV) and hepatitis B virus (HBV) cause chronic hepatitis with important clinical differences. HCV causes hepatic steatosis and insulin resistance, while HBV confers increased risk of liver cancer. We hypothesized these differences may be due to virus-specific effects on mitochondrial function.

Methods
Seahorse technology was used to investigate effects of virus infection on mitochondrial function. Cell-based assays were used to measure mitochondrial membrane potential and quantify pyruvate and lactate. Mass spectrometry was performed on mitochondria isolated from HBV-expressing, HCV-infected, and control cells cultured with isotope-labelled amino acids, to identify proteins with different abundance. Altered expression of key mitochondrial proteins was confirmed by real-time polymerase chain reaction (PCR) and western blot.

Results
Reduced mitochondrial function and ATP production were observed with HCV infection and HBV expression. HCV impaired glycolysis and fatty acid oxidation, promoting lipid accumulation whereas HBV caused lactate accumulation. In HBV-expressing cells enrichment of pyruvate dehydrogenase kinase inhibited pyruvate to acetyl-CoA conversion thereby reducing its availability for mitochondrial oxidative phosphorylation.

Conclusions
HBV and HCV impair mitochondrial function. HCV infection reduces lipid oxidation causing its accumulation and fatty liver disease. HBV infection affects pyruvate processing causing lactate accumulation, cellular stress, and increased risk of liver disease and cancer.
MyD88 in osteoclast and osteoblast lineages differentially controls bone remodeling in homeostasis and malaria
Authors: Alshaweesh Jalal , Dash Rashmi , Lee Michelle S J , Kahyaoglu Pinar , Erci Ece , Xu Mengling , Matsuo-Dapaah Julia , Del Rosario Zorrilla Camila , Aykac Kubra , Ekemen Suheyla , Kobiyama Kouji , Ishii Ken J , Coban Cevayir 
Published: April 2024

Abstract
Chronic bone loss is an under-recognized complication of malaria, the underlying mechanism of which remains incompletely understood. We have previously shown that persistent accumulation of Plasmodium products in the bone marrow leads to chronic inflammation in osteoblast (OB) and osteoclast (OC) precursors causing bone loss through MyD88, an adaptor molecule for diverse inflammatory signals. However, the specific contribution of MyD88 signaling in OB or OC precursors in malaria-induced bone loss remains elusive. To assess the direct cell-intrinsic role of MyD88 signaling in adult bone metabolism under physiological and infection conditions, we used the Lox-Cre system to specifically deplete MyD88 in the OB or OC lineages. Mice lacking MyD88 primarily in the maturing OBs showed a comparable decrease in trabecular bone density by microcomputed tomography to that of controls after Plasmodium yoelii non-lethal infection. In contrast, mice lacking MyD88 in OC precursors showed significantly less trabecular bone loss than controls, suggesting that malaria-mediated inflammatory mediators are primarily controlled by MyD88 in the OC lineage. Surprisingly, however, depletion of MyD88 in OB, but not in OC, precursors resulted in reduced bone mass with decreased bone formation rates in the trabecular areas of femurs under physiological conditions. Notably, insulin-like growth factor-1, a key molecule for OB differentiation, was significantly lower locally and systemically when MyD88 was depleted in OBs. Thus, our data demonstrate an indispensable intrinsic role for MyD88 signaling in OB differentiation and bone formation, while MyD88 signaling in OC lineages plays a partial role in controlling malaria-induced inflammatory mediators and following bone pathology. These findings may lead to the identification of novel targets for specific intervention of bone pathologies, particularly in malaria-endemic regions.
Establishing the Reportable Interval for Routine Clinical Laboratory Tests: A Data-Driven Strategy Leveraging Retrospective Electronic Medical Record Data
Authors: Zayed Ahmed M , Saegeman Veroniek , Delvaux Nicolas 
Published: April 2024

Abstract

Background
This paper presents a data-driven strategy for establishing the reportable interval in clinical laboratory testing. The reportable interval defines the range of laboratory result values beyond which reporting should be withheld. The lack of clear guidelines and methodology for determining the reportable interval has led to potential errors in reporting and patient risk.

Methods
To address this gap, the study developed an integrated strategy that combines statistical analysis, expert review, and hypothetical outlier calculations. A large data set from an accredited clinical laboratory was utilized, analyzing over 124 million laboratory test records from 916 distinct tests. The Dixon test was applied to identify outliers and establish the highest and lowest non-outlier result values for each test, which were validated by clinical pathology experts. The methodology also included matching the reportable intervals with relevant Logical Observation Identifiers Names and Codes (LOINC) and Unified Code for Units of Measure (UCUM)-valid units for broader applicability.

Results
Upon establishing the reportable interval for 135 routine laboratory tests (493 LOINC codes), we applied these to a primary care laboratory data set of 23 million records, demonstrating their efficacy with over 1% of result records identified as implausible.

Conclusions
We developed and tested a data-driven strategy for establishing reportable intervals utilizing large electronic medical record (EMR) data sets. Implementing the established interval in clinical laboratory settings can improve autoverification systems, enhance data reliability, and reduce errors in patient care. Ongoing refinement and reporting of cases exceeding the reportable limits will contribute to continuous improvement in laboratory result management and patient safety.