bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prevalence of extended-spectrum β-lactamases, AmpC, and carbapenemases in Proteus mirabilis clinical isolates
Authors: Shaaban Mona , Elshaer Soha Lotfy , Abd El-Rahman Ola A. 
Published: October 2022

AbstractBackgroundProteus mirabilisis an opportunistic pathogen, causing a variety of community-acquired and nosocomial illnesses. It poses a potential threat to patients via the production of β-lactamases, which decrease the efficacy of antimicrobial treatment and impair the management of its pathogenicity. Hence, this study was established to determine the prevalence of extended-spectrum β-lactamases (ESBLs), AmpC, and carbapenemases ofP. mirabilisisolated from various clinical specimens.ResultsProteus mirabiliswas identified in 20.7% (58/280) of specimens. ESBL producers were present at a rate of 51.7% (30/58). All AmpC-positive isolates (n = 20) produced ESBLs as well, so 66.7% of ESBL-producing isolates coproduced AmpC enzymes. The modified Hodge test confirmed carbapenemase production in six out of seven imipenem nonsusceptible isolates. Of these, only two (5.7%) isolates were also ESBL-and AmpC-positive. Antibiotic resistance reached the highest level for cotrimoxazole (62.1%,n = 36/58 isolates) and the lowest for imipenem (12.1%,n = 7/58 isolates). The levels of multidrug-resistant (MDR) was 41.4% among the tested isolates. TheblaSHV(83.3%),blaAmpC(80%), andblaVIM-1(50%) were the most detected genes in phenotypically confirmed ESBL-, AmpC-, and carbapenemase-producing isolates, respectively. Besides, more than a half of the testedP. mirabilisstrains (53%) coproduced ESBLs and AmpC. Moreover, two isolates coproduced ESBLs and AmpC together with carbapenemases. Furthermore, dendrogram analysis showed great genetic divergence based on the 21 different enterobacterial repetitive intergenic consensus (ERIC) patterns (P1–P21) through the 34 β-lactamase producers. ERIC analysis distinguished clonal similarities between isolates 21 and 22 in P2 and 9 and 10 in P4, which were isolated from the same clinical source and possessed similar patterns of β-lactamase-encoding genes.ConclusionHence, there is an urgent need to monitor hospitalized patients and improve healthcare in order to reduce the incidence of infection and outbreaks of infection with antibiotic-resistantProteus.
Association between serum klotho levels and cardiovascular disease risk factors in older adults
Authors: Lee Jaeho , Kim Donghoon , Lee Hyo-jung , Choi Ju-Young , Min Jin-Young , Min Kyoung-Bok 
Published: October 2022

Abstract
Background
Klotho deficiency is a significant predictor of cardiovascular disease (CVD)-related mortality and morbidity. However, research assessing the association between klotho and individual risk factors of CVD is limited. This study aimed to explore the association between circulating serum klotho levels and risk factors for CVD in adults.

Methods
We used the 2007–2016 National Health and Nutrition Examination Survey and included 13,154 participants for whom serum klotho levels were available. Body mass index (BMI), exercise, smoking status, alcohol consumption, hypertension, dyslipidemia, serum lipid parameters, and blood pressure were considered as CVD risk factors.

Results
Circulating klotho levels were negatively associated with being overweight (beta coefficient: − 22.609, p = 0.0025), obesity (beta coefficient: − 23.716, p = 0.0011), current smoking (beta coefficient: − 46.412, p < 0.0001), and alcohol consumption (beta coefficient: − 51.194, p < 0.0001). There was a positive association between serum klotho levels and no history of dyslipidemia (beta coefficient: 15.474, p = 0.0053). Serum klotho levels were significantly decreased by a unit increase in triglycerides (beta coefficient: − 0.117, p = 0.0006) and total cholesterol (beta coefficient: − 0.249, p = 0.0002). There was a significant non-linear relationship between serum klotho levels, triglycerides, and total cholesterol.

Conclusions
Lower serum klotho levels are associated with certain CVD risk factors, including high BMI, smoking, alcohol consumption, and lipid parameters (triglycerides and total cholesterol). This study suggests that the soluble klotho level may be a potential marker for CVD risk.
A multidimensional approach to the resilience in older adults despite COVID-19
Authors: Perez-Rojo G. , López J. , Noriega C. , Velasco C. , Carretero I. , López-Frutos P. , Galarraga L. 
Published: October 2022

AbstractResearchers have mainly focused on aging risk factors and COVID-19 consequences. However, older adults have proved their ability to overcome adversities along their life. Resilience is a protective variable that dampens the impact of stress. Based on MacLeod’s et al. (2016) approach, we aimed to analyze the relationship between older adults’ resilience and COVID-19 related-stressors as well as their physical, mental, and social characteristics. Eight hundred eighty-nine people aged 60 and over participated in this study. Older participants, women, having better perceived health and not losing a loved one because of the virus were associated with more resilience. Moreover, higher levels of gratitude, personal growth, life purpose and lower levels of depression were associated with greater scores in resilience. This study offers a change of perspective in which aging is perceived from a positive viewpoint by focusing on easily accessible resources that may help older adults to cope with adverse situations.
DNA ligase IV dificiency with elevated serum IgG levels suspected to have myelodysplastic syndrome: a case report
Authors: Huang Miao , Dong Guoqing , Lu Xiyan , Xiao Fei , Zhou Qixin , Zhang Shaoyi 
Published: October 2022

Abstract
Background
Ligase IV (LIG4) dificiency is a very rare clinical syndrome with around 50 cases reported to date. This syndrome is caused by biallelic pathogenic variants in the LIG4 gene, which cause DNA damage repair disorders, mainly manifesting as severe immunodeficiency.

Case presentation
We report the case of a 15-month-old male child with pancytopenia, growth retardation, microcephaly, history of vaccine-related rubella, elevated immunoglobulin G, and decreased T- and B lymphocytes. Next-generation sequencing revealed LIG4 pathogenic genes and compound heterozygous mutations, namely the missense mutation c.833G > T (p.Arg278Leu) and deletion mutation c.1271_1275del (p.Lys424Argfs*20).

Conclusion
This case suggests that LIG4 dificiency can manifest not only as immunodeficiency but also with increased serum IgG levels and pancytopenia, which constitutes an additional clinical phenotype. Furthermore, this case suggests that LIG4 deficiency should be considered upon differential diagnosis of myelodysplastic syndrome in children.
Investigation of neomycin biodegradation conditions using ericoid mycorrhizal and white rot fungal species
Authors: Stenholm Åke , Hedeland Mikael , Pettersson Curt E. 
Published: October 2022

Abstract
Background
In the search for methods to biodegrade recalcitrant compounds, the use of saprotrophic fungi and white rot fungi, in particular belonging to the phylum Basidiomycota, has gained interest. This group of fungi possesses a battery of unspecific extracellular enzymes that can be utilized in the biodegradation of preferably phenolic compounds. In this work, it was investigated under which conditions the white rot fungus Trametes versicolor and the ericoid mycorrhizal fungus Rhizoscyphus ericae (belonging to the phylum Ascomycota) could be used to biodegrade the antibiotic aminoglycoside neomycin at co-metabolic conditions in which external nutrients were supplied. Furthermore, it was also investigated whether a biodegradation could be accomplished using neomycin as the sole nutrient.

Results
The results show that both species can biodegrade neomycin 70% under co-metabolic conditions during a one-week time course and that Rhizoscyphus ericae is able to use neomycin as sole nutrient and to approximatively biodegrade it 60% under chosen non co-metabolic conditions.
At selected conditions, the biodegradation of neomycin using Rhizoscyphus ericae was monitored by oxidation products of D-ribose which is a hydrolysis product of neomycin.

Conclusion
The results are of general interest in the search for fungal species that can biodegrade recalcitrant compounds without the need of external nutrients. The key future application area that will be investigated is purification of waste from recombinant protein production in which neomycin, nutrients and E. coli with neomycin resistance genes are present.
Self-referrals and associated factors among laboring mothers at Dilla University Referral Hospital, Dilla, Gedeo Zone, Ethiopia: a cross-sectional study
Authors: Eritero Aneleay Cherinet , Gebreslasie Kahsay Zenebe , Asgedom Alem Tadesse , Areba Abriham Shiferaw , Wudneh Aregahegn , Bayisa Yesuneh , Molla Wondwosen 
Published: October 2022

Abstract
Background
When medical cases are difficult to manage at the level of primary health care units (PHCU), formal referral assists patients transferring to a higher level of care. In contrast, self-referral and bypassing are synonymously used in literature to describe the phenomenon of patients skipping their units to get basic medical services, even though they are close to their residence. Though proper and timely referral prevents the majority of deaths from obstetric complications in developing countries, more than 50% of referrals are self-referral trends. Such patient practice is increasingly becoming a concern for many health-care systems.

Objective
To assess the magnitude of self-referrals and associated factors among laboring mothers at Gedeo Zone, Ethiopia.

Methods
Facility-based cross-sectional study was conducted from August 1-September 30/2021 among laboring mothers at Dilla University Referral Hospital. A systematic random sampling technique was used to select 375 laboring mothers. Data were collected using a face-to-face interview with a structured questionnaire. Data were entered into a computer using Epi-Data 4.6 statistical program and then exported to STATA version 16 for analysis. In bivariate analysis variables with a p-value ≤ 0.25 were selected as a candidate variable for the multivariable analysis. P-value < 0.05 at 95% confidence interval considered as a statistically significant associations in the multivariable analysis.

Result
375 eligible mothers participated in the study, with a response rate of 98.16%. The magnitude of self-referrals among laboring mothers was 246 (65.6%) with 95% CI (0.60–0.70). Time ≥ 30 min to reach nearby facilities (AOR = 1.74, 95% CI, 1.08, 2.81), having no medicine supplies at nearby facilities (AOR = 1.75, 95% CI, 1.08, 2.82), having no equipment and supplies at nearby facilities (AOR = 1.70, 95% CI, 1.03, 2.78), having ANC visits ˃ 3 times (AOR = 0.29, 95% CI, 0.15, 0.55) and having poor perception of health provider technical competence at nearby facilities (AOR = 2.97, 95% CI, 1.83, 4.79) were found as significant factors for self-referral.

Conclusion
The magnitude of self-referral was high. Frequent Antenatal visits were protective, however time to reach the nearest facilities, perception towards health care providers, medicine, equipment and supplies at the nearest facilities were positive influencing factors. Government stakeholders should keep working on improving the quality of health service, especially at primary health care units(PHCU).
Pheromone sensing in Drosophila requires support cell-expressed Osiris 8
Authors: Scalzotto Marta , Ng Renny , Cruchet Steeve , Saina Michael , Armida Jan , Su Chih-Ying , Benton Richard 
Published: October 2022

Abstract
Background
The nose of most animals comprises multiple sensory subsystems, which are defined by the expression of different olfactory receptor families. Drosophila melanogaster antennae contain two morphologically and functionally distinct subsystems that express odorant receptors (Ors) or ionotropic receptors (Irs). Although these receptors have been thoroughly characterized in this species, the subsystem-specific expression and roles of other genes are much less well-understood.

Results
Here we generate subsystem-specific transcriptomic datasets to identify hundreds of genes, encoding diverse protein classes, that are selectively enriched in either Or or Ir subsystems. Using single-cell antennal transcriptomic data and RNA in situ hybridization, we find that most neuronal genes—other than sensory receptor genes—are broadly expressed within the subsystems. By contrast, we identify many non-neuronal genes that exhibit highly selective expression, revealing substantial molecular heterogeneity in the non-neuronal cellular components of the olfactory subsystems. We characterize one Or subsystem-specific non-neuronal molecule, Osiris 8 (Osi8), a conserved member of a large, insect-specific family of transmembrane proteins. Osi8 is expressed in the membranes of tormogen support cells of pheromone-sensing trichoid sensilla. Loss of Osi8 does not have obvious impact on trichoid sensillar development or basal neuronal activity, but abolishes high sensitivity responses to pheromone ligands.

Conclusions
This work identifies a new protein required for insect pheromone detection, emphasizes the importance of support cells in neuronal sensory functions, and provides a resource for future characterization of other olfactory subsystem-specific genes.
Empirical evidence of study design biases in nutrition randomised controlled trials: a meta-epidemiological study
Authors: Stadelmaier Julia , Roux Isabelle , Petropoulou Maria , Schwingshackl Lukas 
Published: October 2022

Abstract
Background
Instruments to critically appraise randomised controlled trials (RCTs) are based on evidence from meta-epidemiological studies. We aim to conduct a meta-epidemiological study on the average bias associated with reported methodological trial characteristics such as random sequence generation, allocation concealment, blinding, incomplete outcome data, selective reporting, and compliance of RCTs in nutrition research.

Methods
We searched the Cochrane Database of Systematic Reviews, for systematic reviews of RCTs, published between 01 January 2010 and 31 December 2019. We combined the estimates of the average bias (e.g. ratio of risk ratios [RRR] or differences in standardised mean differences) in meta-analyses using the random-effects model. Subgroup analyses were conducted to investigate the potential differences among the RCTs with low versus high/unclear risk of bias with respect to the different types of interventions (e.g. micronutrients, fatty acids, dietary approach), outcomes (e.g. mortality, pregnancy outcomes), and type of outcome (objective, subjective). Heterogeneity was assessed through I2 and τ2, and prediction intervals were calculated.

Results
We included 27 Cochrane nutrition reviews with 77 meta-analyses (n = 927 RCTs). The available evidence suggests that intervention effect estimates may not be exaggerated in RCTs with high/unclear risk of bias (versus low) judgement for sequence generation (RRR 0.97, 95% CI 0.93 to 1.02; I2 = 28%; τ2 = 0.002), allocation concealment (RRR 1.00, 95% CI 0.96 to 1.04; I2 = 27%; τ2 = 0.001), blinding of participants and personnel (RRR 0.95, 95% CI 0.91 to 1.00; I2 = 23%; τ2 = 0), selective reporting (RRR 0.97, 95% CI 0.92 to 1.02; I2 = 24%; τ2 = 0), and compliance (RRR 0.95, 95% CI 0.89 to 1.02; I2 = 0%; τ2 = 0). Intervention effect estimates seemed to be exaggerated in RCTs with a high/unclear risk of bias judgement for blinding of outcome assessment (RRR 0.81, 95% CI 0.70 to 0.94; I2 = 26%; τ2 = 0.03), which was predominately driven by subjective outcomes, and incomplete outcome data (RRR 0.92, 95% CI 0.88 to 0.97; I2 = 22%; τ2 = 0.001). For continuous outcomes, no differences were observed, except for selective reporting.

Conclusions
On average, most characteristics of nutrition RCTs may not exaggerate intervention effect estimates, but the average bias appears to be greatest in trials of subjective outcomes. Replication of this study is suggested in this field to keep this conclusion updated.
Early prediction of hemodialysis complications employing ensemble techniques
Authors: Othman Mai , Elbasha Ahmed Mustafa , Naga Yasmine Salah , Moussa Nancy Diaa 
Published: October 2022

Abstract
Background and objectives
Hemodialysis complications remain a critical threat among dialysis patients. They result in sudden termination of the session which impacts the efficiency of dialysis. As intra-dialytic complications are the result of the interplay of multiple factors, artificial intelligence can aid in their early prediction. This research aims to compare different machine learning tools for the early prediction of the most frequent hemodialysis complications with high performance, using the fewest predictors for easier practical implementation.

Methods
Fifty different variables were recorded during 6000 hemodialysis sessions performed in a regional dialysis unit in Egypt. The filter technique was used to extract the most relevant features. Then, five individual classifiers and three ensemble approaches were implemented to predict the occurrence of intra-dialytic complications. Different subsets of 25, 12 and 6 from the 50 collected features were tested.

Results
Random forest yielded the highest accuracy of 98% with the least training time using 12 features in a balanced dataset, while the gradient boosting allowed obtaining the highest F1-score of 94%, 92%, and 78% in the prediction of hypotension, hypertension, and dyspnea, respectively, in imbalanced datasets.

Conclusion
Applying different machine learning algorithms to big datasets can improve accuracy, reduce training time and model complexity allowing simple implementation in clinical practice. Our models can help nephrologists predict and possibly prevent dialysis complications.
Systematic review of associations of polychlorinated biphenyl (PCB) exposure with declining semen quality in support of the derivation of reference doses for mixture risk assessments
Authors: Ermler Sibylle , Kortenkamp Andreas 
Published: October 2022

AbstractBackgroundMixture risk assessments require reference doses for common health endpoints of all the chemicals to be considered together. In support of a mixture risk assessment for male reproductive health, we conducted a systematic review of the literature on associations between exposures to Polychlorinated Biphenyls (PCBs) and declines in semen quality. PCBs can act as Aryl-hydrocarbon Receptor (AhR)-agonists and Androgen Receptor (AR)-antagonists, both mechanisms which can affect sperm parameters. PCBs and other AR-antagonists can produce additive combination effects. Based on these observations our objective was to systematically gather data from animal and human studies to derive a reference dose for declines in semen quality for individual PCB.MethodsWe systematically reviewed and evaluated the evidence in human epidemiological and experimental animal studies on associations between PCBs and deteriorations in semen quality. Human data and findings from animal studies with PCB mixtures were considered as supporting evidence. Information for individual congeners from animal studies was required for inclusion in mixture risk assessment. Using a robust confidence rating approach, we identified suitable studies to derive reference doses for individual PCB congeners.ResultsEvaluation of human epidemiological studies revealed several reports of adverse effects on sperm parameters linked to PCB exposures, although some studies reported improved semen quality. Our review of experimental animal studies found that treatments with PCBs affected semen quality, in most cases adversely. We found robust evidence that PCB-118 and -169 were linked to declines in semen quality. Evidence for adverse effects of PCB-126, -132, -149, and -153 was moderate, whereas for PCB-77 it was slight and for PCB-180 indeterminate. Using widely accepted risk assessment procedures, we estimated reference dose values of 0.0029 µg/kg/day for PCB-118 and 0.00533 µg/kg/day for PCB-169. In addition, we derived values for PCB-126: 0.000073 µg/kg/day, PCB-132: 0.0228 µg/kg/day, PCB-149: 0.656 µg/kg/day, and PCB-153: 0.0058 µg/kg/day.ConclusionsWe found robust evidence for links between PCB exposure and deteriorations in semen quality, and derived reference doses for a set of congeners. We intend to use these values in combination with congener-specific exposure data in a mixture risk assessment for declines in semen quality, involving several other antiandrogenic chemicals.
Associations between long-term exposures to airborne PM2.5 components and mortality in Massachusetts: mixture analysis exploration
Authors: Jin Tingfan , Amini Heresh , Kosheleva Anna , Danesh Yazdi Mahdieh , Wei Yaguang , Castro Edgar , Di Qian , Shi Liuhua , Schwartz Joel 
Published: October 2022

AbstractBackground:Numerous studies have documented PM2.5’s links with adverse health outcomes. Comparatively fewer studies have evaluated specific PM2.5components. The lack of exposure measurements and high correlation among different PM2.5components are two limitations.Methods:We applied a novel exposure prediction model to obtain annual Census tract-level concentrations of 15 PM2.5components (Zn, V, Si, Pb, Ni, K, Fe, Cu, Ca, Br, SO42−, NO3−, NH4+, OC, EC) in Massachusetts from 2000 to 2015, to which we matched geocoded deaths. All non-accidental mortality, cardiovascular mortality, and respiratory mortality were examined for the population aged 18 or over. Weighted quantile sum (WQS) regression models were used to examine the cumulative associations between PM2.5components mixture and outcomes and each component’s contributions to the cumulative associations. We have fit WQS models on 15 PM2.5components and a priori identified source groups (heavy fuel oil combustion, biomass burning, crustal matter, non-tailpipe traffic source, tailpipe traffic source, secondary particles from power plants, secondary particles from agriculture, unclear source) for the 15 PM2.5components. Total PM2.5mass analysis and single component associations were also conducted through quasi-Poisson regression models.Results:Positive cumulative associations between the components mixture and all three outcomes were observed from the WQS models. Components with large contribution to the cumulative associations included K, OC, and Fe. Biomass burning, traffic emissions, and secondary particles from power plants were identified as important source contributing to the cumulative associations. Mortality rate ratios for cardiovascular mortality were of greater magnitude than all non-accidental mortality and respiratory mortality, which is also observed in cumulative associations estimated from WQS, total PM2.5mass analysis, and single component associations.Conclusion:We have found positive associations between the mixture of 15 PM2.5components and all non-accidental mortality, cardiovascular mortality, and respiratory mortality. Among these components, Fe, K, and OC have been identified as having important contribution to the cumulative associations. The WQS results also suggests potential source effects from biomass burning, traffic emissions, and secondary particles from power plants.