Tag: nevin manimala

Nucleic Acids Res. 2023 Nov 13:gkad1060. doi: 10.1093/nar/gkad1060. Online ahead of print.

ABSTRACT

Advancements in high-throughput technology offer researchers an extensive range of multi-omics data that provide deep insights into the complex landscape of cancer biology. However, traditional statistical models and databases are inadequate to interpret these high-dimensional data within a multi-omics framework. To address this limitation, we introduce DriverDBv4, an updated iteration of the DriverDB cancer driver gene database (http:////driverdb.bioinfomics.org//). This updated version offers several significant enhancements: (i) an increase in the number of cohorts from 33 to 70, encompassing approximately 24 000 samples; (ii) inclusion of proteomics data, augmenting the existing types of omics data and thus expanding the analytical scope; (iii) implementation of multiple multi-omics algorithms for identification of cancer drivers; (iv) new visualization features designed to succinctly summarize high-context data and redesigned existing sections to accommodate the increased volume of datasets and (v) two new functions in Customized Analysis, specifically designed for multi-omics driver identification and subgroup expression analysis. DriverDBv4 facilitates comprehensive interpretation of multi-omics data across diverse cancer types, thereby enriching the understanding of cancer heterogeneity and aiding in the development of personalized clinical approaches. The database is designed to foster a more nuanced understanding of the multi-faceted nature of cancer.

PMID:37956338 | DOI:10.1093/nar/gkad1060

Mil Med. 2023 Nov 10;189(Supplement_1):64-70. doi: 10.1093/milmed/usad277.

ABSTRACT

BACKGROUND: Burnout is insidious and manifests over prolonged, repeated exposure to occupational stressors. There is a growing crisis among health care workers (HCWs) due to high levels of burnout and associated adverse outcomes. Identifying and addressing burnout can be problematic due to extensive variances of perceived occupational stressors across HCWs.

PURPOSE: Mindfulness-based training can enhance individual HCWs’ abilities to perceive and constructively respond to stresses endemic in the health care environment. It can reduce the prevalence of burnout in the primary care setting. An evidence-based multimodal Mindfulness-Based Stress Reduction toolkit (MBSR TK) was designed, implemented, and evaluated for its impact on HCWs’ self-reported stress levels (SRSL).

IMPLEMENTATION STRATEGIES: A pre-post-program evaluation explored the impact of a multimodal toolkit program on HCW SRSL with the Mini-Z burnout survey (MZBS). The MBSR TK program, consisting of a 45 minute introduction and 4 biweekly 15 minute mindfulness sessions offering acupressure, meditation, journaling for gratitude, and self-compassion was designed, delivered, and evaluated with HCWs across 2 military primary care clinics in South Texas.

RESULTS: All HCWs across 2 Air Force family practice clinics were invited to participate in all toolkit components. Seventy percent of all HCWs (N = 90) attended the introduction session. Thirty-seven (41%) HCWs completed pre and post MZBSs, and these responses are included in the data analysis section. The most represented HCWs were registered nurses, physician assistants, and technicians, respectively, at 24%, 21%, and 18%. The Wilcoxon Signed-Rank test examined changes in HCWs’ SRSL after participation in the MBSR TK program. HCWs who attended the introduction plus one biweekly session showed statistically significant decreases in self-reported stress (P = 0.018) and burnout (P = 0.045) and a significant increase in electronic health record proficiency (P = 0.033).

CONCLUSIONS: Multimodal mindfulness toolkits to address SRSL burnout are practical, accessible, easily implemented, adaptive to any environment, and can decrease burnout with participation with just one 15 minute session. This MBSR TK implementation effectively lowered self-reported stress in HCWs who are repeatedly challenged to adapt to various settings around the world during peacetime, wars, natural disasters, humanitarian crises, and now, pandemics.

PMID:37956332 | DOI:10.1093/milmed/usad277

Proc Natl Acad Sci U S A. 2023 Nov 21;120(47):e2309361120. doi: 10.1073/pnas.2309361120. Epub 2023 Nov 13.

ABSTRACT

American political parties continue to grow more polarized, but the extent of ideological polarization among the public is much less than the extent of perceived polarization (what the ideological gap is believed to be). Perceived polarization is concerning because of its link to interparty hostility, but it remains unclear what drives this phenomenon. We propose that a tendency for individuals to form broad generalizations about groups on the basis of inconsistent evidence may be partly responsible. We study this tendency by measuring the interpretation, endorsement, and recall of category-referring statements, also known as generics (e.g., “Democrats favor affirmative action”). In study 1 (n = 417), perceived polarization was substantially greater than actual polarization. Further, participants endorsed generics as long as they were true more often of the target party (e.g., Democrats favor affirmative action) than of the opposing party (e.g., Republicans favor affirmative action), even when they believed such statements to be true for well below 50% of the relevant party. Study 2 (n = 928) found that upon receiving information from political elites, people tended to recall these statements as generic, regardless of whether the original statement was generic or not. Study 3 (n = 422) found that generic statements regarding new political information led to polarized judgments and did so more than nongeneric statements. Altogether, the data indicate a tendency toward holding mental representations of political claims that exaggerate party differences. These findings suggest that the use of generic language, common in everyday speech, enables inferential errors that exacerbate perceived polarization.

PMID:37956300 | DOI:10.1073/pnas.2309361120

Proc Natl Acad Sci U S A. 2023 Nov 21;120(47):e2311565120. doi: 10.1073/pnas.2311565120. Epub 2023 Nov 13.

ABSTRACT

Dementia is a brain disease which results in irreversible and progressive loss of cognition and motor activity. Despite global efforts, there is no simple and reliable diagnosis or treatment option. Current diagnosis involves indirect testing of commonly inaccessible biofluids and low-resolution brain imaging. We have developed a portable, wireless readout-based Graphene field-effect transistor (GFET) biosensor platform that can detect viruses, proteins, and small molecules with single-molecule sensitivity and specificity. We report the detection of three important amyloids, namely, Amyloid beta (Aβ), Tau (τ), and α-Synuclein (αS) using DNA aptamer nanoprobes. These amyloids were isolated, purified, and characterized from the autopsied brain tissues of Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) patients. The limit of detection (LoD) of the sensor is 10 fM, 1-10 pM, 10-100 fM for Aβ, τ, and αS, respectively. Synthetic as well as autopsied brain-derived amyloids showed a statistically significant sensor response with respect to derived thresholds, confirming the ability to define diseased vs. nondiseased states. The detection of each amyloid was specific to their aptamers; Aβ, τ, and αS peptides when tested, respectively, with aptamers nonspecific to them showed statistically insignificant cross-reactivity. Thus, the aptamer-based GFET biosensor has high sensitivity and precision across a range of epidemiologically significant AD and PD variants. This portable diagnostic system would allow at-home and POC testing for neurodegenerative diseases globally.

PMID:37956285 | DOI:10.1073/pnas.2311565120

Environ Sci Technol. 2023 Nov 13. doi: 10.1021/acs.est.3c03355. Online ahead of print.

ABSTRACT

Ambient PM_2.5 exposure statistics in countries with limited ground monitors are derived from satellite aerosol optical depth (AOD) products that have spatial gaps. Here, we quantified the biases in PM_2.5 exposure and associated health burden in India due to the sampling gaps in AOD retrieved by a Moderate Resolution Imaging Spectroradiometer. We filled the sampling gaps and derived PM_2.5 in recent years (2017-2022) over India, which showed fivefold cross-validation R² of 0.92 and root mean square error (RMSE) of 11.8 μg m^-3 on an annual scale against ground-based measurements. If the missing AOD values are not accounted for, the exposure would be overestimated by 19.1%, translating to an overestimation in the mortality burden by 93,986 (95% confidence interval: 78,638-110,597) during these years. With the gap-filled data, we found that the rising ambient PM_2.5 trend in India has started showing a sign of stabilization in recent years. However, a reduction in population-weighted exposure balanced out the effect of the increasing population and maintained the mortality burden attributable to ambient PM_2.5 for 2022 (991,058:798,220-1,183,896) comparable to the 2017 level (1,014,766:812,186-1,217,346). Therefore, a decline in exposure alone is not sufficient to significantly reduce the health burden attributable to ambient PM_2.5 in India.

PMID:37956255 | DOI:10.1021/acs.est.3c03355

AIDS Patient Care STDS. 2023 Nov;37(11):507-516. doi: 10.1089/apc.2023.0170.

ABSTRACT

Adherence to antiretroviral therapy (ART) is essential in determining successful treatment of human immunodeficiency virus (HIV). The adoption of digital health is suggested to improve ART adherence among people living with HIV (PLHIV). This study aimed to systematically determine the effect of digital health in enhancing ART adherence among PLHIV from published studies. The systematic search was conducted on Scopus, Web of Science (WoS), PubMed, Ovid, EBSCOHost, and Google Scholar databases up to June 2022. Studies utilized any digital health as an intervention for ART adherence enhancement and ART adherence status as study’s outcome was included. Digital health refers to the use of information and communication technologies to improve health. Quality assessment and data analysis were carried out using Review Manager (RevMan) version 5.4. A random-effects model computed the pooled odds ratio between intervention and control groups. The search produced a total of 1864 articles. Eleven articles were eligible for analysis. Digital health was used as follows: six studies used short message service or text message alone, three studies used mobile applications, and two studies used combination method. Four studies showed statistically significant impacts of digital health on ART adherence, while seven studies reported insignificant results. Results showed studies conducted using combination approach of digital health produced more promising outcome in ART adherence compared to single approach. New innovative in combination ways is required to address potential benefits of digital health in promoting ART adherence among PLHIV.

PMID:37956244 | DOI:10.1089/apc.2023.0170

PLoS Negl Trop Dis. 2023 Nov 13;17(11):e0011765. doi: 10.1371/journal.pntd.0011765. Online ahead of print.

ABSTRACT

BACKGROUND: Human brucellosis continues to be a great threat to human health in China. The present study aimed to investigate the spatiotemporal distribution of human brucellosis in China from 2004 to 2019, to analyze the socioeconomic factors, meteorological factors and seasonal effect affecting human brucellosis incidence in different geographical regions with the help of spatial panel model, and to provide a scientific basis for local health authorities to improve the prevention of human brucellosis.

METHODS: The monthly reported number and incidence of human brucellosis in China from January 2004 to December 2019 were obtained from the Data Center for China Public Health Science. Monthly average air temperature and monthly average relative humidity of 31 provincial-level administrative units (22 provinces, 5 autonomous regions and 4 municipalities directly under the central government) in China from October 2003 to December 2019 were obtained from the National Meteorological Science Data Centre. The inventory of cattle, the inventory of sheep, beef yield, mutton yield, wool yield, milk yield and gross pastoral product of 31 provincial-level administrative units in China from 2004 to 2019 were obtained from the National Bureau of Statistics of China. The temporal and geographical distribution of human brucellosis was displayed with Microsoft Excel and ArcMap software. The spatial autocorrelation and hotspot analysis was used to describe the association among different areas. Spatial panel model was constructed to explore the combined effects on the incidence of human brucellosis in China.

RESULTS: A total of 569,016 cases of human brucellosis were reported in the 31 provincial-level administrative units in China from January 2004 to December 2019. Human brucellosis cases were concentrated between March and July, with a peak in May, showing a clear seasonal increase. The incidence of human brucellosis in China from 2004 to 2019 showed significant spatial correlations, and hotspot analysis indicated that the high incidence of human brucellosis was mainly in the northern China, particularly in Inner Mongolia, Shanxi, and Heilongjiang. The results from spatial panel model suggested that the inventory of cattle, the inventory of sheep, beef yield, mutton yield, wool yield, milk yield, gross pastoral product, average air temperature (the same month, 2-month lagged and 3-month lagged), average relative humidity (the same month) and season variability were significantly associated with human brucellosis incidence in China.

CONCLUSIONS: The epidemic area of human brucellosis in China has been expanding and the spatial clustering has been observed. Inner Mongolia and adjacent provinces or autonomous regions are the high-risk areas of human brucellosis. The inventory of cattle and sheep, beef yield, mutton yield, wool yield, milk yield, gross pastoral product, average air temperature, average relative humidity and season variability played a significant role in the progression of human brucellosis. The present study strengthens the understanding of the relationship between socioeconomic, meteorological factors and the spatial heterogeneity of human brucellosis in China, through which ‘One Health’-based strategies and countermeasures can be provided for the government to tackle the brucellosis menace.

PMID:37956207 | DOI:10.1371/journal.pntd.0011765

PLoS Comput Biol. 2023 Nov 13;19(11):e1011580. doi: 10.1371/journal.pcbi.1011580. Online ahead of print.

ABSTRACT

In the early phases of growth, resurgent epidemic waves of SARS-CoV-2 incidence have been characterised by localised outbreaks. Therefore, understanding the geographic dispersion of emerging variants at the start of an outbreak is key for situational public health awareness. Using telecoms data, we derived mobility networks describing the movement patterns between local authorities in England, which we have used to inform the spatial structure of a Bayesian BYM2 model. Surge testing interventions can result in spatio-temporal sampling bias, and we account for this by extending the BYM2 model to include a random effect for each timepoint in a given area. Simulated-scenario modelling and real-world analyses of each variant that became dominant in England were conducted using our BYM2 model at local authority level in England. Simulated datasets were created using a stochastic metapopulation model, with the transmission rates between different areas parameterised using telecoms mobility data. Different scenarios were constructed to reproduce real-world spatial dispersion patterns that could prove challenging to inference, and we used these scenarios to understand the performance characteristics of the BYM2 model. The model performed better than unadjusted test positivity in all the simulation-scenarios, and in particular when sample sizes were small, or data was missing for geographical areas. Through the analyses of emerging variant transmission across England, we found a reduction in the early growth phase geographic clustering of later dominant variants as England became more interconnected from early 2022 and public health interventions were reduced. We have also shown the recent increased geographic spread and dominance of variants with similar mutations in the receptor binding domain, which may be indicative of convergent evolution of SARS-CoV-2 variants.

PMID:37956206 | DOI:10.1371/journal.pcbi.1011580

PLoS One. 2023 Nov 13;18(11):e0294152. doi: 10.1371/journal.pone.0294152. eCollection 2023.

ABSTRACT

INTRODUCTION: Perineal extramammary paget’s disease (EMPD) is characterized with high recurrence rate. Although numerous therapeutic measures for this disease have been reported so far, it is unknown whether there is significant difference in their recurrence-preventing efficiency. This study aims to compare the recurrence outcomes of reported perineal EMPD treatments.

METHODS: We searched public databases of for published studies concerning perineal EMPD treatments. After screening by inclusion and exclusion criteria, we extracted the data relevant to recurrence rate, and conducted network meta-analysis (NMA) by using Bayesian random-effects approach.

RESULTS: Our analysis included 29 previous studies (involving both male and female patients) and 11 treatment designs which are wide local excision (WLE), local excision (LE), Mohs micrographic surgery (MMS), radiotherapy (RT), radical vulvectomy (RV), photodynamic therapy (PDT), lasers (LS), imiquimod, and WLE+RT, WLE+PDT, WLE+LS. Comparing with WLE, the MMS showed significant advantage in reducing recurrence [OR: 0.18 (0.03-0.87)], while none of the rest treatments has statistically significant results. After removing outlier studies, MMS still has the significant advantages [OR: 0.35 (0.11-0.82)], and LE turned to be the treatment with worst performance [OR: 13 (2.50-110)]. Covariance analysis of follow-up length, gender differences, and lesion locations indicated only short follow-up time could affect the recurrence statistics, which tend to conceal the real differences. Funnel plot demonstrated there is no significant small study effect.

CONCLUSION: MMS has the best performance on reducing perineal EMPD recurrence, while LE exhibits the worst capability in such regard. Recurrence-preventing abilities of other treatments have no significant difference between each other.

PMID:37956192 | DOI:10.1371/journal.pone.0294152

J Med Internet Res. 2023 Nov 13;25:e47573. doi: 10.2196/47573.

ABSTRACT

BACKGROUND: Although many surveys have been conducted on patients accessing their own health records in recent years, there is a limited amount of nationwide cross-country data available on patients’ views and preferences. To address this gap, an international survey of patient users was conducted in the Nordic eHealth project, NORDeHEALTH.

OBJECTIVE: We aimed to investigate the sociodemographic characteristics and experiences of patients who accessed their electronic health records (EHRs) through national patient portals in Norway, Sweden, Finland, and Estonia.

METHODS: A cross-sectional web-based survey was distributed using the national online health portals. The target participants were patients who accessed the national patient portals at the start of 2022 and who were aged ≥15 years. The survey included a mixture of close-ended and free-text questions about participant sociodemographics, usability experience, experiences with health care and the EHR, reasons for reading health records online, experience with errors, omissions and offense, opinions about security and privacy, and the usefulness of portal functions. In this paper, we summarized the data on participant demographics, past experience with health care, and the patient portal through descriptive statistics.

RESULTS: In total, 29,334 users completed the survey, of which 9503 (32.40%) were from Norway, 13,008 (44.35%) from Sweden, 4713 (16.07%) from Finland, and 2104 (7.17%) from Estonia. National samples were comparable according to reported gender, with about two-thirds identifying as women (19,904/29,302, 67.93%). Age distributions were similar across the countries, but Finland had older users while Estonia had younger users. The highest attained education and presence of health care education varied among the national samples. In all 4 countries, patients most commonly rated their health as “fair” (11,279/29,302, 38.48%). In Estonia, participants were more often inclined to rate their health positively, whereas Norway and Sweden had the highest proportion of negative health ratings. Across the whole sample, most patients received some care in the last 2 years (25,318/29,254, 86.55%). Mental health care was more common (6214/29,254, 21.24%) than oncological care (3664/29,254, 12.52%). Overall, most patients had accessed their health record “2 to 9 times” (11,546/29,306, 39.4%), with the most frequent users residing in Sweden, where about one-third of patients accessed it “more than 20 times” (4571/13,008, 35.14%).

CONCLUSIONS: This is the first large-scale international survey to compare patient users’ sociodemographics and experiences with accessing their EHRs. Although the countries are in close geographic proximity and demonstrate similar advancements in giving their residents online records access, patient users in this survey differed. We will continue to investigate patients’ experiences and opinions about national patient-accessible EHRs through focused analyses of the national and combined data sets from the NORDeHEALTH 2022 Patient Survey.

PMID:37955963 | DOI:10.2196/47573