bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antimicrobial resistance of Escherichia coli, Enterobacter spp., Klebsiella pneumoniae and Enterococcus spp. isolated from the feces of giant panda
Authors: Wang Xin , Zhang Yi , Li Caiwu , Li Guo , Wu Daifu , Li Ti , Qu Yuanyuan , Deng Wenwen , He Yongguo , Penttinen Petri , Zhang Hemin , Huang Yan , Zhao Ke , Zou Likou 
Published: April 2022

Abstract
Background
Escherichia coli, Enterobacter spp., Klebsiella pneumoniae and Enterococcus spp., common gut bacteria in giant pandas, include opportunistic pathogens. The giant panda is an endangered species, classified as vulnerable by the World Wildlife Foundation. Continuous monitoring for the emergence of antimicrobial resistance (AMR) among bacterial isolates from giant pandas is vital not only for their protection but also for public health.

Results
A total of 166 E. coli, 68 Enterobacter spp., 116 K. pneumoniae and 117 Enterococcus spp. isolates were collected from fecal samples of 166 giant pandas. In the antimicrobial susceptibility tests, 144 E. coli isolates, 66 Enterobacter spp. isolates, 110 K. pneumoniae isolates and 43 Enterococcus spp. isolates were resistant to at least one antimicrobial. The resistant isolates carried antimicrobial resistance genes (ARGs), including sul3, blaTEM, blaSHV and tetA. The differences in the prevalence of the bla types implied that the genetic basis for β-lactam resistance among the E. coli, Enterobacter spp. and K. pneumoniae isolates was different. The strain K. pneumoniae K85 that was resistant to sixteen antimicrobials was selected for whole genome sequencing. The genome contained Col440I, IncFIBK and IncFIIK plasmids and altogether 258 ARGs were predicted in the genome; 179 of the predicted ARGs were efflux pump genes. The genetic environment of the β-lactamase genes blaCTX-M-3 and blaTEM-1 in the K. pneumoniae K85 genome was relatively similar to those in other sequenced K. pneumoniae genomes. In comparing the giant panda age groups, the differences in the resistance rates among E. coli, K. pneumoniae and Enterobacter spp. isolates suggested that the infections in giant pandas of different age should be treated differently.

Conclusions
Antimicrobial resistance was prevalent in the bacterial isolates from the giant pandas, implying that the gut bacteria may pose serious health risks for captive giant pandas. The resistance genes in the genome of K. pneumoniae K85 were associated with insertion sequences and integron-integrase genes, implying a potential for the further spread of the antimicrobial resistance.
Changes in objectively measured lifestyle factors during the COVID-19 pandemic in community-dwelling older adults
Authors: Ataka Takuya , Kimura Noriyuki , Eguchi Atsuko , Matsubara Etsuro 
Published: April 2022

Abstract
Background
In this manuscript, we investigate whether objectively measured lifestyle factors, including walking steps, sedentary time, amount of unforced physical activity, level of slight and energetic physical activity, conversation time, and sleep parameters, were altered before and during the COVID-19 pandemic among community-dwelling older adults.

Methods
Data were obtained from a prospective cohort study conducted from 2015 to 2019 and a subsequent dementia prevention study undertaken in September 2020. Community-dwelling adults aged ≥ 65 years wore wearable sensors before and during the pandemic.

Results
A total of 56 adults were enrolled in this study. The mean age was 74.2 ± 3.9 years, and 58.9% (n = 33) of the participants were female. Moderate and vigorous physical activity time significantly decreased, and sedentary time significantly increased during the pandemic.

Conclusions
This is the first study to demonstrate differences in objectively assessed lifestyle factors before and during the COVID-19 pandemic among community-dwelling older adults. The findings show that the pandemic has adversely affected physical activity among older adults living on their own in Japan.
Comparing prevalence of chronic kidney disease and its risk factors between population-based surveys in Russia and Norway
Authors: Cook Sarah , Solbu Marit D. , Eggen Anne Elise , Iakunchykova Olena , Averina Maria , Hopstock Laila A. , Kholmatova Kamila , Kudryavtsev Alexander V. , Leon David A. , Malyutina Sofia , Ryabikov Andrew , Williamson Elizabeth , Nitsch Dorothea 
Published: April 2022

Abstract
Background
Little data exists on the prevalence of chronic kidney disease (CKD) in the Russian population. We aimed to estimate the prevalence of CKD in a population-based study in Russia, compare with a similar study in Norway, and investigate whether differences in risk factors explained between-study differences in CKD.

Methods
We compared age- and sex-standardised prevalence of reduced eGFR (< 60 ml/min/1.73m2 CKD-EPI creatinine equation), albuminuria and or a composite indicator of CKD (one measure of either reduced eGFR or albuminuria) between participants aged 40–69 in the population-based Know Your Heart (KYH) study, Russia (2015–2018 N = 4607) and the seventh Tromsø Study (Tromsø7), Norway (2015–2016 N = 17,646). We assessed the contribution of established CKD risk factors (low education, diabetes, hypertension, antihypertensive use, smoking, obesity) to between-study differences using logistic regression.

Results
Prevalence of reduced eGFR or albuminuria was 6.5% (95% Confidence Interval (CI) 5.4, 7.7) in KYH and 4.6% (95% CI 4.0, 5.2) in Tromsø7 standardised for sex and age. Odds of both clinical outcomes were higher in KYH than Tromsø7 (reduced eGFR OR 2.06 95% CI 1.67, 2.54; albuminuria OR 1.54 95% CI 1.16, 2.03) adjusted for sex and age. Risk factor adjustment explained the observed between-study difference in albuminuria (OR 0.92 95% CI 0.68, 1.25) but only partially reduced eGFR (OR 1.42 95% CI 1.11, 1.82). The strongest explanatory factors for the between-study difference was higher use of antihypertensives (Russian sample) for reduced eGFR and mean diastolic blood pressure for albuminuria.

Conclusions
We found evidence of a higher burden of CKD within the sample from the population in Arkhangelsk and Novosibirsk compared to Tromsø, partly explained by between-study population differences in established risk factors. In particular hypertension defined by medication use was an important factor associated with the higher CKD prevalence in the Russian sample.
A stepwise data interpretation process for renal amyloidosis typing by LMD-MS
Authors: Ke Ming , Li Xin , Wang Lin , Yue Shuling , Zhao Beibei 
Published: April 2022

Abstract
Backgrounds
Systemic amyloidosis is classified according to the deposited amyloid fibril protein (AFP), which determines its best therapeutic scheme. The most common type of AFP found are immunoglobulin light chains. The laser microdissection combined with mass spectrometry (LMD-MS) technique is a promising approach for precise typing of amyloidosis, however, the major difficulty in interpreting the MS data is how to accurately identify the precipitated AFP from background.

Objectives
The objective of the present study is to establish a complete data interpretation procedure for LMD-MS based amyloidosis typing.

Methods
Formalin-fixed paraffin-embedded specimens from patients with renal amyloidosis and non-amyloid nephropathies (including diabetic nephropathy, fibrillary glomerulonephritis, IgA nephropathy, lupus nephritis, membranous nephropathy, and normal tissue adjacent to tumors) were analyzed by LMD-MS. Forty-two specimens were used to train the data interpretation procedure, which was validated by another 50 validation specimens. Area under receiver operating curve (AUROC) analysis of amyloid accompanying proteins (AAPs, including apolipoprotein A-IV, apolipoprotein E and serum amyloid P-component) for discriminating amyloidosis from non-amyloid nephropathies was performed.

Results
A stepwise data interpretation procedure that includes or excludes the types of amyloidosis group by group was established. The involvement of AFPs other than immunoglobulin was determined by P-score, as well as immunoglobulin light chain by variable of λ-κ, and immunoglobulin heavy chain by H-score. This achieved a total of 88% accuracy in 50 validation specimens. The AAPs showed significantly different expression levels between amyloidosis specimens and non-amyloid nephropathies. Each of the single AAP had a AUROC value more than 0.9 for diagnosis of amyloidosis from non-amyloid control, and the averaged level of the three AAPs showed the highest AUROC (0.966), which might be an alternative indicator for amyloidosis diagnosis.

Conclusions
The proteomic data interpretation procedure for LMD-MS based amyloidosis typing was established successfully that has a high practicability in clinical application.
SNCA correlates with immune infiltration and serves as a prognostic biomarker in lung adenocarcinoma
Authors: Zhang Xiuao , Wu Zhengcun , Ma Kaili 
Published: April 2022

Abstract
Background
The SNCA gene is a critical gene in Parkinson’s disease (PD) pathology. Accumulating evidence indicates that SNCA is involved in tumorigenesis; however, the role of SNCA in lung adenocarcinoma (LUAD) remains unclear. This study aimed to explore the potential value of SNCA as a prognostic and diagnostic molecular marker in LUAD.

Methods
In this study, we explored the expression pattern, prognostic value, and promoter methylation status of SNCA in LUAD based on Oncomine, UALCAN, and Kaplan–Meier Plotter. Then, using TIMER, we investigated the correlation between SNCA expression and immune infiltration. And cBioPortal were used to analysis the correlation between SNCA expression and immune checkpoint. The transcriptome data of A549 cells overexpressing SNCA were used to further study the potential immune role of SNCA in LUAD. The effect of SNCA on proliferation of A549 cells were evaluated by CCK-8, EdU and colony formation. Finally, LUAD cell lines treated with 5-aza-dC were used to explore the correlation between increased promoter methylation and downregulated mRNA expression of SNCA.

Results
In general, the expression level of SNCA in LUAD tissue was lower than that in normal tissue, and high expression of SNCA was related to better prognosis.
There were significant positive correlations between SNCA expression and immune infiltrations, including CD8+ T cells, macrophages, neutrophils, dendritic cells, B cells, and CD4+ T cells, and immune checkpoints, suggesting that immune infiltration was one of the reasons for the influence of SNCA on prognosis in LUAD. The transcriptome data of A549 cells overexpressing SNCA were further used to screen the relevant immune-related genes regulated by SNCA. Enrichment analysis confirmed that SNCA participates in the PI3K-AKT signaling pathway and other key tumor signaling pathways and regulates the expression of MAPK3, SRC, PLCG1, and SHC1. Cellular proliferation assay showed that SNCA could inhabit the growth of A549 cells via inhibiting activity of PI3K/AKT/ mTOR pathway. Finally, analysis of the methylation level of SNCA promoter showed that the promoter methylation negatively correlated with mRNA level. The expression of SNCA in LUAD cell lines was significantly upregulated by treatment with 5-aza-dC.

Conclusion
High methylation of SNCA promoter in LUAD is one of the reasons for the downregulation of SNCA mRNA level. Given that SNCA could inhibit the proliferation of A549 cells and correlates with immune infiltrates, it may serve as a prognostic biomarker in LUAD.
Aberrant hydroxymethylation in promoter CpG regions of genes related to the cell cycle and apoptosis characterizes advanced chronic myeloid leukemia disease, poor imatinib respondents and poor survival
Authors: Guru Sameer Ahmad , Sumi Mamta Pervin , Mir Rashid , Beg Mirza Masroor Ali , koner Bidhan Chandra , Saxena Alpana 
Published: April 2022

Abstract
Background
There is strong evidence that disease progression, drug response and overall clinical outcomes of CML disease are not only decided by BCR/ABL1 oncoprotein but depend on accumulation of additional genetic and epigenetic aberrations. DNA hydroxymethylation is implicated in the development of variety of diseases. DNA hydroxymethylation in gene promoters plays important roles in disease progression, drug response and clinical outcome of various diseases. Therefore in this study, we aimed to explore the role of aberrant hydroxymethylation in promoter regions of different tumor suppressor genes in relation to CML disease progression, response to imatinib therapy and clinical outcome.

Methods
We recruited 150 CML patients at different clinical stages of the disease. Patients were followed up for 48 months and haematological/molecular responses were analysed. Haematological response was analysed by peripheral blood smear. BCR/ABL1 specific TaqMan probe based qRT-PCR was used for assessing the molecular response of CML patients on imatinib therapy. Promoter hydroxymethylation of the genes was characterized using MS-PCR.

Results
We observed that promoter hydroxymethylation of DAPK1, RIZ1, P16INK4A, RASSF1A and p14ARFARF genes characterize advanced CML disease and poor imatinib respondents. Although, cytokine signalling (SOCS1) gene was hypermethylated in advanced stages of CML and accumulated in patients with poor imatinib response, but the differences were not statistically significant. Moreover, we found hypermethylation of p14ARF, RASSF1 and p16INK4A genes and cytokine signalling gene (SOCS1) significantly associated with poor overall survival of CML patients on imatinib therapy. The results of this study are in agreement of the role of aberrant DNA methylation of different tumor suppressor genes as potential biomarkers of CML disease progression, poor imatinib response and overall clinical outcome.

Conclusion
In this study, we report that promoter hydroxymethylation of DAPK1, RIZ1, P16INK4A, RASSF1A and p14ARFARF genes is a characteristic feature of CML disease progressions, defines poor imatinib respondents and poor overall survival of CML patients to imatinib therapy.
Studying latent change process in height growth of children in Ethiopia, India, Peru and Vietnam
Authors: Wake Senahara Korsa , Zewotir Temesgen , Muluneh Essey Kebede 
Published: April 2022

AbstractBackgroundAnthropometric measurements of healthy children differ in different parts of the world due to the diverse ethnicity and cultural backgrounds of families. In longitudinal studies, appropriate modeling of repeated anthropometric measures can improve the understanding of patterns of change, determinants of patterns, and variations in patterns of change over time. The objective of this study was to examine the latent change in physical height of children in Ethiopia, India, Peru, and Vietnam.MethodLongitudinal data of 6601 children aged 1 to 15 years were obtained from the Young Lives cohort study. The data were analyzed using a latent basis growth curve model.ResultsThe findings of the study revealed that the rates of growth did not remain constant across the time intervals, which indicates the nonlinearity of the growth trajectory over time. For instance, children had the highest rate of growth between age 1 and 5 years, then between age 8 and 12 years, and a low rate of growth was observed between age 12 and 15 years. At the first measurement occasion (age 1 year) females were 0.826 cm (p < 0.0001) times shorter than males. The mean height at one year of age ranged from 72.13 cm in Ethiopia to 72.62 cm in India. Children in India and Vietnam had higher mean height at age one year. However, no significant difference in mean height at age one year was found between Ethiopian and Peruvian children, ($$p=0.914$$p=0.914). Peruvian and Vietnamese children grew at a faster rate, while Indian children grew at a slower rate than Ethiopian children.ConclusionWe found substantial latent growth variations among children in four low- and middle-income countries. The latent trajectories differed by gender and country. The outcomes of the study could aid in detecting inequalities in children's height growth.
Knowledge, attitude and practice of Lebanese parents towards childhood overweight/obesity: the role of parent-physician communication
Authors: Zoghby Helene Barbe , Sfeir Elsa , Akel Marwan , Malaeb Diana , Obeid Sahar , Hallit Souheil 
Published: April 2022

Abstract
Background
Childhood overweight and obesity is one of the most challenging public health problems facing both developed and developing countries. Several studies carried worldwide assessed predisposing risk factors for childhood obesity, however, few addressed the Middle East region and particularly Lebanon. We aimed in our study to assess factors associated with knowledge, attitude and practice of Lebanese parents regarding childhood overweight, particularly the parent-physician communication.

Methods
This cross-sectional study conducted between September and December 2019. The questionnaire used was the standardized questionnaire of “Parent Questionnaire Curriculum” from the “We Can program” (Ways to Enhance Children’s Activity and Nutrition).

Results
A higher parent-physician communication score (Beta = 0.05) was significantly associated with higher knowledge, whereas having a higher intermediate vs low income (Beta = -0.65) was significantly associated with lower knowledge. A higher knowledge global score (Beta = 1.25), a higher parent-physician communication score (Beta = 0.18), and having a university education level compared to illiterate/primary/complementary (Beta = 2.59) were significantly associated with better attitude. A better attitude (Beta = 0.92) and a higher global knowledge score (Beta = 0.6) were significantly associated with a better practice.

Conclusion
This study found that a better parent-physician communication and higher knowledge were associated with better attitude and practice towards obesity. Given the rise in childhood obesity worldwide, identifying factors that help reduce childhood obesity, is becoming mandatory. Our results can open up to future studies addressing strategies to prevent childhood obesity in Lebanon.
Barriers and facilitators of health among older adult immigrants in the United States: an integrative review of 20 years of literature
Authors: Hawkins Maren M. , Holliday Daniel D. , Weinhardt Lance S. , Florsheim Paul , Ngui Emmanuel , AbuZahra Tala 
Published: April 2022

Abstract
Background
There are over seven million older adult immigrants in the United States, and that number is expected to increase. Older adult immigrants in the United States have unique factors that influence their health.

Methods
In this integrative review, we systematically review 20 years of peer-reviewed literature on the barriers (i.e. isolation, lack of English Language Proficiency, low health literacy, lack of SES resources, discrimination) and facilitators (i.e. English Language Proficiency and maintaining ones native language, social support, culturally sensitive providers, healthcare access) of health among older adult immigrants in the United States.

Results
We found differing uses of the term ‘older adult’, emphasis on the lack of homogeneity among older adult immigrants, social support and isolation as significant barriers and facilitators of older adult immigrant health, and inconsistencies in uses and definitions of acculturation. We also examined relevant theories in the literature. Based on the literature review, focusing on Acculturation Theory, Social Cognitive Theory, and Successful Aging Theory, combining these three theories with findings from the literature to create the Older Adult Immigrant Adapted Model for Health Promotion.

Conclusions
Public health strives to promote health and prevent adverse health outcomes. Our integrative review not only systematically and thoroughly explicates 20 years of literature, but the Older Adult Immigrant Adapted Model for Health Promotion, provides guidance for future research and interventions.
Modelling the potential acute and post-acute burden of COVID-19 under the Australian border re-opening plan
Authors: Angeles Mary Rose , Wanni Arachchige Dona Sithara , Nguyen Huong Dieu , Le Long Khanh-Dao , Hensher Martin 
Published: April 2022

Abstract
Background
Concerns have grown that post-acute sequelae of COVID-19 may affect significant numbers of survivors. However, the analyses used to guide policy-making for Australia’s national and state re-opening plans have not incorporated non-acute illness in their modelling. We, therefore, develop a model by which to estimate the potential acute and post-acute COVID-19 burden using disability-adjusted life years (DALYs) associated with the re-opening of Australian borders and the easing of other public health measures, with particular attention to longer-term, post-acute consequences and the potential impact of permanent functional impairment following COVID-19.

Methods
A model was developed based on the European Burden of Disease Network protocol guideline and consensus model to estimate the burden of COVID-19 using DALYs. Data inputs were based on publicly available sources. COVID-19 infection and different scenarios were drawn from the Doherty Institute’s modelling report to estimate the likely DALY losses under the Australian national re-opening plan. Long COVID prevalence, post-intensive care syndrome (PICS) and potential permanent functional impairment incidences were drawn from the literature. DALYs were calculated for the following health states: the symptomatic phase, Long COVID, PICS and potential permanent functional impairment (e.g., diabetes, Parkinson’s disease, dementia, anxiety disorders, ischemic stroke). Uncertainty and sensitivity analysis were performed to examine the robustness of the results.

Results
Mortality was responsible for 72-74% of the total base case COVID-19 burden. Long COVID and post-intensive care syndrome accounted for at least 19 and 3% of the total base case DALYs respectively. When included in the analysis, potential permanent impairment could contribute to 51-55% of total DALYs lost.

Conclusions
The impact of Long COVID and potential long-term post-COVID disabilities could contribute substantially to the COVID-19 burden in Australia’s post-vaccination setting. As vaccination coverage increases, the share of COVID-19 burden driven by longer-term morbidity rises relative to mortality. As Australia re-opens, better estimates of the COVID-19 burden can assist with decision-making on pandemic control measures and planning for the healthcare needs of COVID-19 survivors. Our estimates highlight the importance of valuing the morbidity of post-COVID-19 sequelae, above and beyond simple mortality and case statistics.