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  • Oxford University Press (OUP)  (8)
  • 1
    Online Resource
    Online Resource
    Synergy between MC1R and ASIP for coat color in horses ( Equus caballus )1
    Oxford University Press (OUP) ; 2019
    In:  Journal of Animal Science Vol. 97, No. 4 ( 2019-04-03), p. 1578-1585
    Details
    In: Journal of Animal Science, Oxford University Press (OUP), Vol. 97, No. 4 ( 2019-04-03), p. 1578-1585
    Type of Medium: Online Resource
    ISSN: 0021-8812 , 1525-3163
    URL: Article
    DOI: 10.1093/jas/skz071
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 1490550-4
    SSG: 12
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  • 2
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    Social Determinants and Frailty in High-Need, High-Risk Veterans
    Oxford University Press (OUP) ; 2020
    In:  Innovation in Aging Vol. 4, No. Supplement_1 ( 2020-12-16), p. 179-179
    Details
    In: Innovation in Aging, Oxford University Press (OUP), Vol. 4, No. Supplement_1 ( 2020-12-16), p. 179-179
    Abstract: The VA Geriatrics and Extended Care Data Analysis Center uses national predictive modelling to identify High-Need High-Risk (HNHR) Veterans, to provide targeted services and reduce hospitalization and institutionalization risk. To learn the needs of Miami VA HNHR Veterans, we mailed a needs-assessment survey to 2124 Veterans, of whom 634 responded (29.8% response rate). The average respondent age was 70.5±9.2. Among them, 127(20%) were & lt;65 years old, 326(51.4%) were 65-74, and 179(28.2%) were ≥75; 389(61.4%) White, 225(35.5%) Black/African Americans; 515(81.2%) were Non-Hispanic, 111(17.5%) Hispanic/Latino; 173(27.3%) were high school graduates, 350(55.2%) had at least some college credit, 39(6.2%) had a master’s degree or more and 536(84.5%) were health literate. As per Morley’s FRAIL scale, 266(42%) were frail, 242(38.2%) were pre-frail and 87(13.7%) were robust. Social risk factors possibly associated with frailty were analyzed using ordinal logistic regression. Univariate analysis showed significant association with poor health literacy, having a caregiver, social isolation, transportation trouble, delayed or missed doctors’ appointments due to transportation, a negative perception of aging, likelihood of depression, being homebound, inability to use the internet, lack of technology for video conferencing and lack of email use (p≤0.01). Through multivariate ordinal logistic regression analysis, adjusting for patients’ age and Jen Frailty Index, we found that the same social risk factors other than internet use showed significant association with frailty (p≤0.01). HNHR Veterans have complex social needs with a limited ability to manage their chronic conditions, necessitating interventions that address not only their medical issues but also their access barriers and social support.
    Type of Medium: Online Resource
    ISSN: 2399-5300
    URL: Article
    DOI: 10.1093/geroni/igaa057.578
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 2905697-4
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  • 3
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    Long-distance intercellular connectivity between cardiomyocytes and cardiofibroblasts mediated by membrane nanotubes
    Oxford University Press (OUP) ; 2011
    In:  Cardiovascular Research Vol. 92, No. 1 ( 2011-10-01), p. 39-47
    Details
    In: Cardiovascular Research, Oxford University Press (OUP), Vol. 92, No. 1 ( 2011-10-01), p. 39-47
    Type of Medium: Online Resource
    ISSN: 1755-3245 , 0008-6363
    URL: Article
    DOI: 10.1093/cvr/cvr189
    RVK:
    WA 15000
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2011
    detail.hit.zdb_id: 1499917-1
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  • 4
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    The multifaceted functions of cGAS
    Oxford University Press (OUP) ; 2022
    In:  Journal of Molecular Cell Biology Vol. 14, No. 5 ( 2022-09-15)
    Details
    In: Journal of Molecular Cell Biology, Oxford University Press (OUP), Vol. 14, No. 5 ( 2022-09-15)
    Abstract: Pattern recognition receptors are critical for the sensing of pathogen-associated molecular patterns or danger-associated molecular patterns and subsequent mounting of innate immunity and shaping of adaptive immunity. The identification of 2′3′-cyclic guanosine monophosphate–adenosine monophosphate (cGAMP) synthase (cGAS) as a major cytosolic DNA receptor is a milestone in the field of DNA sensing. The engagement of cGAS by double-stranded DNA from different origins, including invading pathogens, damaged mitochondria, ruptured micronuclei, and genomic DNA results in the generation of cGAMP and activation of stimulator of interferon genes, which thereby activates innate immunity mainly characterized by the activation of type I interferon response. In recent years, great progress has been made in understanding the subcellular localization and novel functions of cGAS. In this review, we particularly focus on summarizing the multifaceted roles of cGAS in regulating senescence, autophagy, cell stemness, apoptosis, angiogenesis, cell proliferation, antitumor effect, DNA replication, DNA damage repair, micronucleophagy, as well as cell metabolism.
    Type of Medium: Online Resource
    ISSN: 1674-2788 , 1759-4685
    URL: Article
    DOI: 10.1093/jmcb/mjac031
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2022
    detail.hit.zdb_id: 2500949-7
    SSG: 12
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  • 5
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    SlWRKY30 and SlWRKY81 synergistically modulate tomato immunity to Ralstonia solanacearum by directly regulating SlPR-STH2
    Oxford University Press (OUP) ; 2023
    In:  Horticulture Research Vol. 10, No. 5 ( 2023-05-04)
    Details
    In: Horticulture Research, Oxford University Press (OUP), Vol. 10, No. 5 ( 2023-05-04)
    Abstract: Bacterial wilt is a devastating disease of tomato (Solanum lycopersicum) caused by Ralstonia solanacearum that severely threatens tomato production. Group III WRKY transcription factors (TFs) are implicated in the plant response to pathogen infection; however, their roles in the response of tomato to R. solanacearum infection (RSI) remain largely unexplored. Here, we report the crucial role of SlWRKY30, a group III SlWRKY TF, in the regulation of tomato response to RSI. SlWRKY30 was strongly induced by RSI. SlWRKY30 overexpression reduced tomato susceptibility to RSI, and also increased H2O2 accumulation and cell necrosis, suggesting that SlWRKY30 positively regulates tomato resistance to RSI. RNA sequencing and reverse transcription–quantitative PCR revealed that SlWRKY30 overexpression significantly upregulated pathogenesis-related protein (SlPR-STH2) genes SlPR­STH2a, SlPR­STH2b, SlPR­STH2c, and SlPR­STH2d (hereafter SlPR­STH2a/b/c/d) in tomato, and these SlPR-STH2 genes were directly targeted by SlWRKY30. Moreover, four group III WRKY proteins (SlWRKY52, SlWRKY59, SlWRKY80, and SlWRKY81) interacted with SlWRKY30, and SlWRKY81 silencing increased tomato susceptibility to RSI. Both SlWRKY30 and SlWRKY81 activated SlPR­STH2a/b/c/d expression by directly binding to their promoters. Taking these results together, SlWRKY30 and SlWRKY81 synergistically regulate resistance to RSI by activating SlPR-STH2a/b/c/d expression in tomato. Our results also highlight the potential of SlWRKY30 to improve tomato resistance to RSI via genetic manipulations.
    Type of Medium: Online Resource
    ISSN: 2052-7276
    URL: Article
    DOI: 10.1093/hr/uhad050
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2023
    detail.hit.zdb_id: 2781828-7
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  • 6
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    The Digital Divide Amongst High-Need High-Risk Veterans
    Oxford University Press (OUP) ; 2021
    In:  Innovation in Aging Vol. 5, No. Supplement_1 ( 2021-12-17), p. 633-633
    Details
    In: Innovation in Aging, Oxford University Press (OUP), Vol. 5, No. Supplement_1 ( 2021-12-17), p. 633-633
    Abstract: High-need high-risk (HNHR) veterans are medically complex and at the highest risk of hospitalization and long-term institutionalization. Technology can mitigate challenges these veterans have in accessing healthcare. Willingness to use technology as well as access and ability to use technology were assessed in this study. At the time of the survey, 2543 Miami VAHS veterans were listed as HNHR. 634 veterans ultimately completed the questionnaire, and 602 answered the “willingness to use video-visits” question. Of the 602 respondents, 327 (54.3%) reported they were willing for video-visits with the VA, while 275 (45.6%) were not. Those who were willing were significantly younger (P & lt;0.001), with higher educational qualifications (P=0.002), and more health literate than those not willing (P & lt;0.001). They were more also capable of using the Internet, more likely to use email and be enrolled in the VA’s patient portal, My HealtheVet (P & lt;0.001). However, of the veterans who were willing, 248 (75.8%) had a device with video-capable technology. Those with video-capable technology were younger (P=0.004), more health literate (P=0.01), and less likely to be Black or African American (P=0.007). They were more capable of using the Internet, more likely to use email, and be enrolled in My HealtheVet than those without (P & lt;0.001). Half of the respondents were willing for video-visits but a quarter of those willing lacked requisite technology, thereby making only about 41.2% of the respondents willing and video-capable. To minimize the digital divide, especially during the ongoing COVID-19 pandemic, targeted measures need to address these disparities in this vulnerable population.
    Type of Medium: Online Resource
    ISSN: 2399-5300
    URL: Article
    DOI: 10.1093/geroni/igab046.2407
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2905697-4
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  • 7
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    Factors Driving High-Need High-Risk Vulnerable Veterans Use of Outpatient Healthcare
    Oxford University Press (OUP) ; 2021
    In:  Innovation in Aging Vol. 5, No. Supplement_1 ( 2021-12-17), p. 1004-1004
    Details
    In: Innovation in Aging, Oxford University Press (OUP), Vol. 5, No. Supplement_1 ( 2021-12-17), p. 1004-1004
    Abstract: Using predictive analytic modeling, the Veterans Affairs (VA) Geriatrics and Extended Care Data Analysis Center (GECDAC) identified vulnerable “High-Need High-Risk” (HNHR) Veterans, as requiring more support and services. We sought to identify variables linked with utilization of our outpatient HNHR C4 clinic offering Comprehensive Geriatric Assessment, Care Planning, Care Coordination, and Co-management". Of 724 HNHR Veterans contacted, 531 were reached and invited to participate; 193 were not reached, 326 were reached but declined the C4 clinic, 205 attended the clinic. We compared these groups. Independent variables were organized using Anderson’s behavioral model into predisposing (age, gender, race, ethnicity), enabling (drive time, service eligibility, Area Deprivation Index, marital status), and need factors (mental health cognitive condition, ambulatory care sensitive conditions, NOSOS, JFI, CAN, etc.). C4 enrollment acceptance was the outcome. Results showed that compared to patients who declined, HNHR veterans who attended C4 clinic had more chronic health conditions(p & lt;0.01), more service eligibility(p=0.01), more driving time to the closest VA clinic(p=0.01), and more were married (p=0.01). Patients who declined C4 clinic might have greater barriers to care access. Accessing needed healthcare among HNHR older adults maybe impacted more by enabling factors that allow the individual to seek care if needed and are the resources that may facilitate access to services, rather than need factors, which include individuals' perceptions of their health and functional state, and healthcare needs assessed by professionals. More social and intermediary determinants of health should be incorporated as enabling factors into models striving to understand drivers of healthcare use.
    Type of Medium: Online Resource
    ISSN: 2399-5300
    URL: Article
    DOI: 10.1093/geroni/igab046.3601
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2905697-4
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  • 8
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    Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network
    Oxford University Press (OUP) ; 2019
    In:  The Oncologist Vol. 24, No. 9 ( 2019-09-01), p. 1159-1165
    Details
    In: The Oncologist, Oxford University Press (OUP), Vol. 24, No. 9 ( 2019-09-01), p. 1159-1165
    Abstract: Computed tomography (CT) is essential for pulmonary nodule detection in diagnosing lung cancer. As deep learning algorithms have recently been regarded as a promising technique in medical fields, we attempt to integrate a well-trained deep learning algorithm to detect and classify pulmonary nodules derived from clinical CT images. Materials and Methods Open-source data sets and multicenter data sets have been used in this study. A three-dimensional convolutional neural network (CNN) was designed to detect pulmonary nodules and classify them into malignant or benign diseases based on pathologically and laboratory proven results. Results The sensitivity and specificity of this well-trained model were found to be 84.4% (95% confidence interval [CI], 80.5%–88.3%) and 83.0% (95% CI, 79.5%–86.5%), respectively. Subgroup analysis of smaller nodules ( & lt;10 mm) have demonstrated remarkable sensitivity and specificity, similar to that of larger nodules (10–30 mm). Additional model validation was implemented by comparing manual assessments done by different ranks of doctors with those performed by three-dimensional CNN. The results show that the performance of the CNN model was superior to manual assessment. Conclusion Under the companion diagnostics, the three-dimensional CNN with a deep learning algorithm may assist radiologists in the future by providing accurate and timely information for diagnosing pulmonary nodules in regular clinical practices. Implications for Practice The three-dimensional convolutional neural network described in this article demonstrated both high sensitivity and high specificity in classifying pulmonary nodules regardless of diameters as well as superiority compared with manual assessment. Although it still warrants further improvement and validation in larger screening cohorts, its clinical application could definitely facilitate and assist doctors in clinical practice.
    Type of Medium: Online Resource
    ISSN: 1083-7159 , 1549-490X
    URL: Article
    DOI: 10.1634/theoncologist.2018-0908
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2023829-0
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