Search

ABSTRACT: Objectives: This study reports the whole-genome sequences of two strains of extended-spectrum beta-lactamase (ESBL)-producing and multidrug-resistant (MDR) K. pneumoniae ST268 and explores their acquired antibiotic resistance genes (ARGs) and the mobile genetic elements (MGEs). Methods: Two strains of K. pneumoniae ST268 were isolated from different samples of one patient. Assessment of antimicrobial susceptibility was performed, and then whole-genome sequencing was conducted. Acquired ARGs, insertion sequences, and transposons harboured by the two strains of K. pneumoniae ST268 were identified, and then the genetic contexts associated with the ARGs were analysed systematically. Results: Two strains of K. pneumoniae ST268 were found to carry the 118.6-kb hybrid IncFIIK:IncQ1:repBR1701 plasmid. All the acquired ARGs carried by the IncF plasmid were found to be situated on the 25.3-kb MDR region bracketed by ISKpn19 and IS26, which was widely present in the plasmids in 14 STs of strains in K. pneumoniae but also in IncF plasmids from Shigella flexneri and Klebsiella quasipneumoniae. Notably, the IncF plasmids harbouring the 25.3-kb MDR region were geographically distributed mainly in China, and the pKP161637-1/pKP160802-1 in our study was the first report on the IncF plasmid carrying the 25.3-kb MDR region bracketed in K. pneumoniae ST268. Conclusions: Two strains of ESBL-producing K. pneumoniae ST268 with a MDR IncF plasmid were identified in a hospital in China. The ARGs were identified on the 25.3-kb MDR region, bracketed by ISKpn19 and IS26, of the IncF plasmids, which were present not only in the K. pneumoniae but also in the S. flexneri and K. quasipneumoniae.

Abstract Background Inflammation is associated with the pathophysiology of diabetic retinopathy (DR). Within the framework of complete dietary patterns, the Dietary Inflammatory Index (DII) was formulated to evaluate the inflammatory properties inherent in a diet. The main purpose of the current study was to assess the relationship between DII and DR using National Health and Nutrition Examination Survey (NHANES). Methods The original sample size included 1,148 diabetes patients out of 2005–2008 NHANES surveys. Twenty-four-hour dietary consumptions were used to calculate the DII scores. Demographic characteristics and retina examinations were collected for the comparison between DR and non-DR groups in diabetes patients. The relationship between DII and DR was analyzed by a logistic regression model. Results 227 subjects (110 non-DR and 117 DR) were selected in the analyses by using undersampling method to balance the sample size. Compared with non-DR group, DR group had higher DII values (1.14 ± 0.29 vs. 1.49 ± 0.21, p = 0.32), higher levels of HbA1c (6.8 ± 1.1% vs. 7.7 ± 2.6%, p

BackgroundObesity and metabolic syndrome pose significant health challenges in the United States (US), with connections to disruptions in sex hormone regulation. The increasing prevalence of obesity and metabolic syndrome might be associated with exposure to phthalates (PAEs). Further exploration of the impact of PAEs on obesity is crucial, particularly from a sex hormone perspective.MethodsA total of 7780 adult participants in the National Health and Nutrition Examination Survey (NHANES) from 2013 to 2016 were included in the study. Principal component analysis (PCA) coupled with multinomial logistic regression was employed to elucidate the association between urinary PAEs metabolite concentrations and the likelihood of obesity. Weighted quartiles sum (WQS) regression was utilized to consolidate the impact of mixed PAEs exposure on sex hormone levels (total testosterone (TT), estradiol and sex hormone-binding globulin (SHBG)). We also delved into machine learning models to accurately discern obesity status and identify the key variables contributing most to these models.ResultsPrincipal Component 1 (PC1), characterized by mono(2-ethyl-5-carboxypentyl) phthalate (MECPP), mono(2-ethyl-5-hydroxyhexyl) phthalate (MEHHP), and mono(2-ethyl-5-oxohexyl) phthalate (MEOHP) as major contributors, exhibited a negative association with obesity. Conversely, PC2, with monocarboxyononyl phthalate (MCNP), monocarboxyoctyl phthalate (MCOP), and mono(3-carboxypropyl) phthalate (MCPP) as major contributors, showed a positive association with obesity. Mixed exposure to PAEs was associated with decreased TT levels and increased estradiol and SHBG. During the exploration of the interrelations among obesity, sex hormones, and PAEs, models based on Random Forest (RF) and eXtreme Gradient Boosting (XGBoost) algorithms demonstrated the best classification efficacy. In both models, sex hormones exhibited the highest variable importance, and certain phthalate metabolites made significant contributions to the model’s performance.ConclusionsIndividuals with obesity exhibit lower levels of TT and SHBG, accompanied by elevated estradiol levels. Exposure to PAEs disrupts sex hormone levels, contributing to an increased risk of obesity in US adults. In the exploration of the interrelationships among these three factors, the RF and XGBoost algorithm models demonstrated superior performance, with sex hormones displaying higher variable importance.