No abstract

Background:The convergence of carbapenem-resistance and hypervirulence in Klebsiella pneumoniae has led to a significant public health challenge. In recent years, there have been more and more reports on carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP) isolates. Materials and Methods: Clinical data of patients infected with CR-hvKP from January 2019 to December 2020 in a tertiary hospital were retrospectively evaluated. The number of isolates of Klebsiella pneumoniae, hypermucoviscous Klebsiella pneumoniae (hmKP), carbapenem-resistant hypermucoviscous Klebsiella pneumoniae (CR-hmKP) and carbapenem-resistant hypervirulent Klebsiella pneumoniae (CR-hvKP) collected during the period of 2 years was calculated. The antimicrobial resistance gene, virulence-associated gene, capsular serotype gene and multilocus sequence typing (MLST) of CR-hvKP isolates were detected by PCR. Results: During the study period, a total of 1081 isolates of non-repeat Klebsiella pneumoniae were isolated, including 392 isolates of hypermucoviscous Klebsiella pneumoniae (36.3%), 39 isolates of CR-hmKP (3.6%), and 16 isolates of CR-hvKP (1.5%). About 31.2% (5/16) of CR-hvKP were isolated from 2019, and 68.8% (11/16) of CR-hvKP were isolated from 2020. Among the 16 isolates of CR-hvKP, 13 isolates were ST11 and serotype K64, 1 isolate was ST11 and serotype K47, 1 isolate was ST23 and serotype K1, and 1 isolate was ST86 and serotype K2. The virulence-associated genes entB, fimH, rmpA2, iutA, iucA were present in all of 16 CR-hvKP isolates, followed by mrkD (n=14), rmpA (n=13), aerobactin (n=2), allS (n=1). Sixteen CR-hvKP isolates all carry carbapenemase gene bla KPC-2 and extended-spectrum β-lactamase gene bla SHV . ERIC-PCR DNA fingerprinting results showed that 16 CR-hvKP isolates were highly polymorphic, and there were significant differences in bands among the isolates, presenting a sporadic state. Conclusion:Although CR-hvKP was sporadically distributed, it showed an increasing trend year by year. Therefore, clinical attention should be paid, and necessary measures should be taken to avoid the cloning and transmission of superbacterium CR-hvKP.

Abstract. Ferritin is a universal intracellular protein that acts as an iron carrier. Several studies have indicated that iron deficiency affects thyroid function in non-pregnant women. Our objective was to assess the relationship between serum ferritin levels and thyroid function in pregnant women during the second trimester. Pregnant women with sufficient iodine intake and normal antithyroid antibodies during the second trimester were recruited from the obstetric outpatient department of the Fifth People's Hospital of Fudan University. Serum ferritin (SF) levels, thyroid function, anti-thyroid antibodies and vitamin B12 were determined by electrochemiluminescence immunoassay kit. Maternal serum iron (Fe), unsaturated iron binding capacity (UIBC), hemoglobin (Hb), creatinine (Cr), fasting blood glucose (FBG), and alanine aminotransferase (ALT) were also evaluated. Stepwise regressions performed to evaluate the associations between SF and other maternal parameters. In the second trimester, 11.4% pregnant women had a SF concentration less than 12 μg/L, and 7.6% pregnant women were anemic. SF levels were negatively correlated with serum TSH levels (r = -0.219, p < 0.05), and positively correlated with FT4 levels (r = 0.203, p < 0.05). Linear regression analysis showed only SF, age, week of gestation were significant predictors of regression with TSH as the dependent variable (β: -0.007, -0.059, and 0.118 respectively; all p < 0.05). However consistent relation between the SF levels and FT4 was not observed in stepwise linear regression. Maternal iron status is a determinant of TSH concentrations during pregnancy in pregnant women during the second trimester.Key words: Serum ferritin, Thyroid function, Thyroid stimulating hormone, Pregnancy, The second trimester THYROID DISEASE is a common endocrine disorder prevalent in pregnant women. The prevalence of subclinical hypothyroidism and hypothyroxinemia during the second trimester of pregnancy is 5.96% and 2.29%, respectively in China [1]. Maternal thyroid dysfunction has been reportedly associated with gestational hypertension, gestational diabetes, spontaneous abortion, fetal loss, dysplasia, and inadequate neuropsychological development in children [2][3][4][5]. Chronic autoimmune thyroiditis is the main cause of hypothyroidism during pregnancy [6,7]. Iodine deficiency during pregnancy is also

Antibiotic resistance (AMR) has always been a hot topic all over the world and its mechanisms are varied and complicated. Previous evidence revealed the metabolic slowdown in resistant bacteria, suggesting the important role of metabolism in antibiotic resistance. However, the molecular mechanism of reduced metabolism remains poorly understood, which inspires us to explore the global proteome change during antibiotic resistance. Here, the sensitive, cotrimoxazole-resistant, amikacin-resistant, and amikacin/cotrimoxazole -both-resistant KPN clinical isolates were collected and subjected to proteome analysis through liquid chromatography coupled with tandem mass spectrometry (LC–MS/MS). A deep coverage of 2,266 proteins were successfully identified and quantified in total, representing the most comprehensive protein quantification data by now. Further bioinformatic analysis showed down-regulation of tricarboxylic acid cycle (TCA) pathway and up-regulation of alcohol metabolic or glutathione metabolism processes, which may contribute to ROS clearance and cell survival, in drug-resistant isolates. These results indicated that metabolic pathway alteration was directly correlated with antibiotic resistance, which could promote the development of antibacterial drugs from “target” to “network.” Moreover, combined with minimum inhibitory concentration (MIC) of cotrimoxazole and amikacin on different KPN isolates, we identified nine proteins, including garK, uxaC, exuT, hpaB, fhuA, KPN_01492, fumA, hisC, and aroE, which might contribute mostly to the survival of KPN under drug pressure. In sum, our findings provided novel, non-antibiotic-based therapeutics against resistant KPN.

B lymphocytes are the source of autoantibodies against the thyroid-stimulating hormone receptor (TSHR) in Graves’ disease (GD). Characterization of autoimmune B-cell expression profiles might enable a better understanding of GD pathogenesis. To reveal this, the expression levels of long noncoding RNAs (lncRNAs) and mRNAs (genes) in purified B cells from patients with newly diagnosed GD and healthy individuals were compared using microarrays, which elucidated 604 differentially expressed lncRNAs (DE-lncRNAs) and 410 differentially expressed genes (DEGs). GO and pathway analyses revealed that the DEGs are mainly involved in immune response. A protein–protein interaction network presented experimentally validated interactions among the DEGs. Two independent algorithms were used to identify the DE-lncRNAs that regulate the DEGs. Functional annotation of the deregulated lncRNA–mRNA pairs identified 14 pairs with mRNAs involved in cell proliferation. The lncRNAs TCONS_00022357-XLOC_010919 and n335641 were predicted to regulate TCL1 family AKT coactivator A (TCL1A), and the lncRNA n337845 was predicted to regulate SH2 domain containing 1A (SH2D1A). TCL1A and SH2D1A are highly involved in B-cell proliferation. The differential expression of both genes was validated by qRT-PCR. In conclusion, lncRNA and mRNA expression profiles of B cells from patients with GD indicated that the lncRNA–mRNA pairs n335641–TCL1A, TCONS_00022357-XLOC_010919–TCL1A, and n337845–SH2D1A may participate in GD pathogenesis by modulating B-cell proliferation and survival. Therefore, the identified lncRNA and mRNA may represent novel biomarkers and therapeutic targets for GD.

Interleukin-17A (IL-17A) has a role in sustaining normal pregnancy. IL-17A is also associated with thyroid autoimmunity during pregnancy. This study sought to investigate whether IL-17A is a risk factor for thyroid dysfunction during pregnancy in women negative for thyroid autoantibodies. Methods of Study:The study comprised 216 pregnant women with negative thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TGAb) during the second trimester who provided blood samples for serum IL-17A, thyroid autoantibodies and thyroid function tests. To further evaluate the ratio of CD4+IL-17A+ Th17 cells, we collected peripheral blood from 26 women with thyroid-stimulating hormone (TSH) levels ≤2.5 mIU/L and 26 pregnancy-week matched women with TSH levels >2.5 mIU/L, along with samples from 20 women with TSH levels ≤4 mIU/L and 20 pregnancy-week matched women with TSH levels >4 mIU/L. Results:The serum IL-17A levels and ratios of CD4+IL-17A+ cells were significantly lower in women with TSH > 2.5 mIU/L than in those with TSH ≤ 2.5 mIU/L (both P < 0.01). Similar lower differences were noted in women with TSH > 4 mIU/L than in those with TSH ≤ 4 mIU/L (both P < 0.01). Moreover, serum TSH correlated negatively with IL-17A levels (β = −0.195, P = 0.004), but positively with the week of gestation (β = 0.284, P < 0.001). Logistic regression indicated that a lower serum IL-17A level was a risk factor for TSH > 2.5 mIU/L [OR = 0.453 (0.298-0.689), P = 0.000] and TSH > 4.0 mIU/L [OR = 0.588 (0.385-0.899), P = 0.013]. Conclusion:A low serum IL-17A level during the second trimester is associated with an increased risk of TSH > 2.5 mIU/L and subclinical hypothyroidism.

No abstract

Background Klemera-Doubal’s method (KDM) is an advanced and widely applied algorithm for estimating biological age (BA), but it has no uniform paradigm for biomarker processing. This paper proposed all subsets of biomarkers for estimating BAs and assessed their association with mortality to determine the most predictive subset and BA. Methods Clinical biomarkers, including those from physical examinations and blood assays, were assessed in the China Health and Nutrition Survey (CHNS) 2009 wave. Those correlated with chronological age (CA) were combined to produce complete subsets, and BA was estimated by KDM from each subset of biomarkers. A Cox proportional hazards regression model was used to examine and compare each BA’s effect size and predictive capacity for all-cause mortality. Validation analysis was performed in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and National Health and Nutrition Examination Survey (NHANES). KD-BA and Levine’s BA were compared in all cohorts. Results A total of 130,918 panels of BAs were estimated from complete subsets comprising 3 to 17 biomarkers, whose Pearson coefficients with CA varied from 0.39 to 1. The most predictive subset consisted of 5 biomarkers, whose estimated KD-BA had the most predictive accuracy for all-cause mortality. Compared to Levine’s BA, the accuracy of the best fitting KD-BA in predicting death varied among specific populations. Conclusion All-subset analysis could effectively reduce the number of redundant biomarkers and significantly improve the accuracy of KD-BA in predicting all-cause mortality.