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  1. Article ; Online: NRF2 in kidney physiology and disease.

    Bondi, Corry D / Hartman, Hannah L / Tan, Roderick J

    Physiological reports

    2024  Volume 12, Issue 5, Page(s) e15961

    Abstract: The role of NRF2 in kidney biology has received considerable interest over the past decade. NRF2 transcriptionally controls genes responsible for cellular protection against oxidative and electrophilic stress and has anti-inflammatory functions. NRF2 is ... ...

    Abstract The role of NRF2 in kidney biology has received considerable interest over the past decade. NRF2 transcriptionally controls genes responsible for cellular protection against oxidative and electrophilic stress and has anti-inflammatory functions. NRF2 is expressed throughout the kidney and plays a role in salt and water handling. In disease, animal studies show that NRF2 protects against tubulointerstitial damage and reduces interstitial fibrosis and tubular atrophy, and may slow progression of polycystic kidney disease. However, the role of NRF2 in proteinuric glomerular diseases is controversial. Although the NRF2 inducer, bardoxolone methyl (CDDO-Me), increases glomerular filtration rate in humans, it has not been shown to slow disease progression in diabetic kidney disease and Alport syndrome. Furthermore, bardoxolone methyl was associated with negative effects on fluid retention, proteinuria, and blood pressure. Several animal studies replicate findings of worsened proteinuria and a more rapid progression of kidney disease, although considerable controversy exists. It is clear that further study is needed to better understand the effects of NRF2 in the kidney. This review summarizes the available data to clarify the promise and risks associated with targeting NRF2 activity in the kidney.
    MeSH term(s) Animals ; Humans ; NF-E2-Related Factor 2/genetics ; Kidney ; Diabetic Nephropathies ; Proteinuria ; Oleanolic Acid/analogs & derivatives
    Chemical Substances NF-E2-Related Factor 2 ; bardoxolone methyl (CEG1Q6OGU1) ; Oleanolic Acid (6SMK8R7TGJ)
    Language English
    Publishing date 2024-02-28
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 2724325-4
    ISSN 2051-817X ; 2051-817X
    ISSN (online) 2051-817X
    ISSN 2051-817X
    DOI 10.14814/phy2.15961
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Do Models beyond Hybrid Density Functionals Increase the Agreement with Experiment for Predicted NMR Chemical Shifts or Electric Field Gradient Tensors in Organic Solids?

    Iuliucci, Robbie J / Hartman, Joshua D / Beran, Gregory J O

    The journal of physical chemistry. A

    2023  Volume 127, Issue 12, Page(s) 2846–2858

    Abstract: ... Ab ... ...

    Abstract Ab initio
    Language English
    Publishing date 2023-03-20
    Publishing country United States
    Document type Journal Article
    ISSN 1520-5215
    ISSN (online) 1520-5215
    DOI 10.1021/acs.jpca.2c07657
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Acute Rift Valley fever virus infection induces inflammatory cytokines and cell death in

    Connors, Kaleigh A / Frey, Zachary D / Demers, Matthew J / Wills, Zachary P / Hartman, Amy L

    The Journal of general virology

    2024  Volume 105, Issue 3

    Abstract: Rift Valley fever virus (RVFV) is an emerging arboviral disease with pandemic potential. While infection is often self-limiting, a subset of individuals may develop late-onset encephalitis, accounting for up to 20 % of severe cases. Importantly, ... ...

    Abstract Rift Valley fever virus (RVFV) is an emerging arboviral disease with pandemic potential. While infection is often self-limiting, a subset of individuals may develop late-onset encephalitis, accounting for up to 20 % of severe cases. Importantly, individuals displaying neurologic disease have up to a 53 % case fatality rate, yet the neuropathogenesis of RVFV infection remains understudied. In this study, we evaluated whether
    MeSH term(s) Rats ; Animals ; Rift Valley fever virus/physiology ; Rift Valley Fever ; Cytokines ; Brain ; Cell Death
    Chemical Substances Cytokines
    Language English
    Publishing date 2024-03-27
    Publishing country England
    Document type Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 219316-4
    ISSN 1465-2099 ; 0022-1317
    ISSN (online) 1465-2099
    ISSN 0022-1317
    DOI 10.1099/jgv.0.001970
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Evaluating spatially enabled machine learning approaches to depth to bedrock mapping, Alberta, Canada.

    Pawley, Steven M / Atkinson, Lisa / Utting, Daniel J / Hartman, Gregory M D / Atkinson, Nigel

    PloS one

    2024  Volume 19, Issue 3, Page(s) e0296881

    Abstract: Maps showing the thickness of sediments above the bedrock (depth to bedrock, or DTB) are important for many geoscience studies and are necessary for many hydrogeological, engineering, mining, and forestry applications. However, it can be difficult to ... ...

    Abstract Maps showing the thickness of sediments above the bedrock (depth to bedrock, or DTB) are important for many geoscience studies and are necessary for many hydrogeological, engineering, mining, and forestry applications. However, it can be difficult to accurately estimate DTB in areas with varied topography, like lowland and mountainous terrain, because traditional methods of predicting bedrock elevation often underestimate or overestimate the elevation in rugged or incised terrain. Here, we describe a machine learning spatial prediction approach that uses information from traditional digital elevation model derived estimates of terrain morphometry and satellite imagery, augmented with spatial feature engineering techniques to predict DTB across Alberta, Canada. First, compiled measurements of DTB from borehole lithologs were used to train a natural language model to predict bedrock depth across all available lithologs, significantly increasing the dataset size. The combined data were then used for DTB modelling employing several algorithms (XGBoost, Random forests, and Cubist) and spatial feature engineering techniques, using a combination of geographic coordinates, proximity measures, neighbouring points, and spatially lagged DTB estimates. Finally, the results were contrasted with DTB predictions based on modelled relationships with the auxiliary variables, as well as conventional spatial interpolations using inverse-distance weighting and ordinary kriging methods. The results show that the use of spatially lagged variables to incorporate information from the spatial structure of the training data significantly improves predictive performance compared to using auxiliary predictors and/or geographic coordinates alone. Furthermore, unlike some of the other tested methods such as using neighbouring point locations directly as features, spatially lagged variables did not generate spurious spatial artifacts in the predicted raster maps. The proposed method is demonstrated to produce reliable results in several distinct physiographic sub-regions with contrasting terrain types, as well as at the provincial scale, indicating its broad suitability for DTB mapping in general.
    MeSH term(s) Alberta ; Satellite Imagery ; Spatial Analysis ; Machine Learning ; Algorithms
    Language English
    Publishing date 2024-03-27
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2267670-3
    ISSN 1932-6203 ; 1932-6203
    ISSN (online) 1932-6203
    ISSN 1932-6203
    DOI 10.1371/journal.pone.0296881
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Description and comparison of brain distribution of oxytocin receptors in Rhabdomys pumillio and Rhabdomys dilectus.

    Olazábal, D E / Pillay, N / Sandberg, N / Hartman, K-J

    General and comparative endocrinology

    2023  Volume 335, Page(s) 114224

    Abstract: Oxytocin receptor (OXTR) distribution in the brain has been associated with different reproductive and social strategies of species. Rhabdomys pumilio (R. pumilio) and Rhabdomys dilectus (R. dilectus) are two sister rodent species that live in large/ ... ...

    Abstract Oxytocin receptor (OXTR) distribution in the brain has been associated with different reproductive and social strategies of species. Rhabdomys pumilio (R. pumilio) and Rhabdomys dilectus (R. dilectus) are two sister rodent species that live in large/medium (but flexible) or small (mostly solitary) social groups respectively. In this study, we describe and compare the distribution of OXTR in these two species. OXTR binding in the brain of R. pumilio (8 females and 5 males) and R. dilectus (8 females and 5 males) adults was determined using autoradiography. Our results revealed significant differences in the nucleus accumbens, diagonal band, medial preoptic area, lateral habenula, superior colliculus, periaqueductal area and anterior paraventricular nucleus (higher in R. dilectus), and the dorsal lateral septum and anterior bed nucleus of the stria terminalis (higher in R. pumilio). OXTR density in other brain regions, such as the amygdala nuclei and hippocampus, did not differ between the two species. Sex differences were found in the medial preoptic area and ventral region of the lateral septum in R. pumilio (OXTR density higher in males) and in the anterior paraventricular thalamic nucleus, ventromedial nucleus of the hypothalamus and basolateral amygdala of R. dilectus (OXTR density higher in females). A sex difference in the density of OXTR was also found in the posterior region of the bed nucleus of the stria terminalis, where it was higher in males than in females of both species. This study shows species-specific brain distribution of OXTR in R. pumilio and R. dilectus that are unique, but with similarities with other polygynous or promiscuous rodent species that live in variable size groups, such as R. norvergicus, C. sociabilis, S. teguina and M. musculus.
    MeSH term(s) Animals ; Female ; Male ; Receptors, Oxytocin/metabolism ; Brain/metabolism ; Hypothalamus/metabolism ; Rodentia/metabolism ; Preoptic Area/metabolism ; Oxytocin/metabolism
    Chemical Substances Receptors, Oxytocin ; Oxytocin (50-56-6)
    Language English
    Publishing date 2023-01-24
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1851-x
    ISSN 1095-6840 ; 0016-6480
    ISSN (online) 1095-6840
    ISSN 0016-6480
    DOI 10.1016/j.ygcen.2023.114224
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Mapping insomnia symptoms and circadian preferences to mental health problems in men and women across the lifespan.

    Sarsembayeva, Dina / Schreuder, Marieke J / Hartman, Catharina A

    Psychiatry research

    2023  Volume 331, Page(s) 115689

    Abstract: This study identified subgroups in the general population based on combinations in three night-time insomnia symptoms and four dimensions of circadian preferences ("sleep profiles") and investigated the associations between sleep profiles and nine common ...

    Abstract This study identified subgroups in the general population based on combinations in three night-time insomnia symptoms and four dimensions of circadian preferences ("sleep profiles") and investigated the associations between sleep profiles and nine common mental health problems. The data came from the Lifelines cohort add-on study "Comorbid Conditions of ADHD" and included 37,716 individuals (aged 4-91 years) from the Dutch general population who completed a digital survey. Latent profile analysis was used to identify sleep profiles in twelve age-sex subgroups. Linear regression was used to investigate whether sleep profiles differ in mental health problems. Participants were classified into three sleep profiles: "Healthy Larks", who had early circadian preferences and no insomnia symptoms; "Sleepy Owls" with late circadian preferences and nonrestorative sleep; and "Sleepless Doves" with intermediate circadian preferences and severe insomnia symptoms. Compared to "Healthy Larks", all mental health problems were significantly more severe in "Sleepy Owls" and even worse in "Sleepless Doves". These associations were similar in men and women but weakened with age. However, "Sleepy Owls" and "Sleepless Doves" did not differ in heavy alcohol drinking, drug use, and smoking. Our findings strengthened the evidence for the universal role of healthy sleep in mental wellbeing.
    MeSH term(s) Male ; Humans ; Female ; Sleep Initiation and Maintenance Disorders/epidemiology ; Mental Health ; Longevity ; Attention Deficit Disorder with Hyperactivity/psychology ; Sleep
    Language English
    Publishing date 2023-12-21
    Publishing country Ireland
    Document type Journal Article
    ZDB-ID 445361-x
    ISSN 1872-7123 ; 1872-7506 ; 0925-4927 ; 0165-1781
    ISSN (online) 1872-7123 ; 1872-7506
    ISSN 0925-4927 ; 0165-1781
    DOI 10.1016/j.psychres.2023.115689
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Developing the Healthy Actions and Lifestyles to Avoid Dementia or

    Moukarzel, Sara / Zlatar, Zvinka Z / Hartman, Sheri J / Lomas, Derek / Feldman, Howard H / Banks, Sarah J

    Alzheimer's & dementia (New York, N. Y.)

    2024  Volume 10, Issue 1, Page(s) e12457

    Abstract: Introduction: With Alzheimer's disease and related dementias (ADRD) representing an enormous public health challenge, there is a need to support individuals in learning about and addressing their modifiable risk factors (e.g., diet, sleep, and physical ... ...

    Abstract Introduction: With Alzheimer's disease and related dementias (ADRD) representing an enormous public health challenge, there is a need to support individuals in learning about and addressing their modifiable risk factors (e.g., diet, sleep, and physical activity) to prevent or delay dementia onset. However, there is limited availability for evidence-informed tools that deliver both quality education and support for positive behavior change such as by increasing self-efficacy and personalizing goal setting. Tools that address the needs of Latino/a, at higher risk for ADRD, are even more scarce.
    Methods: We established a multidisciplinary team to develop the Healthy Actions and Lifestyles to Avoid Dementia
    Results: Using this iterative approach allowed for more than 100 improvements in the content, features, and design of HALT-AD to improve the program's usability and alignment with the interests and educational/behavior change support needs of its target audience. Illustrative examples of how pilot data and community feedback informed improvements are provided.
    Discussion: Developing HALT-AD iteratively required learning through trial and error and flexibility in workflows, contrary to traditional program development methods that rely on rigid, pre-set requirements. In addition to efficacy trials, studies are needed to identify mechanisms for effective behavior change, which might be culturally specific. Flexible and personalized educational offerings are likely to be important in modifying risk trajectories in ADRD.
    Language English
    Publishing date 2024-03-03
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2832891-7
    ISSN 2352-8737 ; 2352-8737
    ISSN (online) 2352-8737
    ISSN 2352-8737
    DOI 10.1002/trc2.12457
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Concordance indices with left‐truncated and right‐censored data

    Hartman, Nicholas / Kim, Sehee / He, Kevin / Kalbfleisch, J. D.

    Biometrics. 2023 Sept., v. 79, no. 3 p.1624-1634

    2023  

    Abstract: In the context of time‐to‐event analysis, a primary objective is to model the risk of experiencing a particular event in relation to a set of observed predictors. The Concordance Index (C‐Index) is a statistic frequently used in practice to assess how ... ...

    Abstract In the context of time‐to‐event analysis, a primary objective is to model the risk of experiencing a particular event in relation to a set of observed predictors. The Concordance Index (C‐Index) is a statistic frequently used in practice to assess how well such models discriminate between various risk levels in a population. However, the properties of conventional C‐Index estimators when applied to left‐truncated time‐to‐event data have not been well studied, despite the fact that left‐truncation is commonly encountered in observational studies. We show that the limiting values of the conventional C‐Index estimators depend on the underlying distribution of truncation times, which is similar to the situation with right‐censoring as discussed in Uno et al. (2011) [On the C‐statistics for evaluating overall adequacy of risk prediction procedures with censored survival data. Statistics in Medicine 30(10), 1105–1117]. We develop a new C‐Index estimator based on inverse probability weighting (IPW) that corrects for this limitation, and we generalize this estimator to settings with left‐truncated and right‐censored data. The proposed IPW estimators are highly robust to the underlying truncation distribution and often outperform the conventional methods in terms of bias, mean squared error, and coverage probability. We apply these estimators to evaluate a predictive survival model for mortality among patients with end‐stage renal disease.
    Keywords kidney diseases ; medicine ; models ; mortality ; prediction ; risk
    Language English
    Dates of publication 2023-09
    Size p. 1624-1634.
    Publishing place John Wiley & Sons, Ltd
    Document type Article ; Online
    Note JOURNAL ARTICLE
    ZDB-ID 213543-7
    ISSN 0099-4987 ; 0006-341X
    ISSN 0099-4987 ; 0006-341X
    DOI 10.1111/biom.13714
    Database NAL-Catalogue (AGRICOLA)

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  9. Article ; Online: Weak or discrepant RhD phenotypes: Laboratory management strategies for local patient populations.

    Barriteau, Christina M / Lindholm, Paul F / Hartman, Karyn / Pugh, Johnathon / Sumugod, Ricardo D / Ramsey, Glenn

    Transfusion

    2024  Volume 64, Issue 4, Page(s) 765–767

    MeSH term(s) Humans ; Phenotype ; Genotype ; Rh-Hr Blood-Group System/genetics ; Alleles
    Chemical Substances Rh-Hr Blood-Group System
    Language English
    Publishing date 2024-04-01
    Publishing country United States
    Document type Letter
    ZDB-ID 208417-x
    ISSN 1537-2995 ; 0041-1132
    ISSN (online) 1537-2995
    ISSN 0041-1132
    DOI 10.1111/trf.17796
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: The Rab11-family interacting proteins reveal selective interaction of mammalian recycling endosomes with the

    Hartman, Eric J / Asady, Beejan / Romano, Julia D / Coppens, Isabelle

    Molecular biology of the cell

    2022  Volume 33, Issue 5, Page(s) ar34

    Abstract: After mammalian cell invasion, the ... ...

    Abstract After mammalian cell invasion, the parasite
    MeSH term(s) ADP-Ribosylation Factor 6 ; Animals ; Endosomes/metabolism ; HeLa Cells ; Humans ; Mammals/metabolism ; Protein Binding ; Toxoplasma/metabolism ; Vacuoles/metabolism ; rab GTP-Binding Proteins/metabolism
    Chemical Substances ADP-Ribosylation Factor 6 ; rab GTP-Binding Proteins (EC 3.6.5.2)
    Language English
    Publishing date 2022-03-11
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 1098979-1
    ISSN 1939-4586 ; 1059-1524
    ISSN (online) 1939-4586
    ISSN 1059-1524
    DOI 10.1091/mbc.E21-06-0284
    Database MEDical Literature Analysis and Retrieval System OnLINE

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