1,493 research outputs found

    Inequalities in Cervical Cancer Screening Uptake Between Chinese Migrant Women and Local Women: A Cross-Sectional Study

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    Introduction: Uptake of cervical cancer screening services in Chinese migrant workers is unknown and may be lower than non-migrant workers in China. Methods: We conducted a cross-sectional study among migrant and non-migrant women aged 21-65 at 7 provinces across China and administered a questionnaire investigating knowledge and attitudes regarding cervical cancer, human papillomavirus (HPV), and HPV vaccine. We used multivariable logistic regression to evaluate odds of previous cervical cancer screening in migrant workers. Results: 737 women participated in the study. Mean age was 41.9 ± 7.2 years. 50.2% of the participants were migrant workers. 27.6% of the migrant workers reported previous cervical cancer screening compared to 33.2% of local participants. 36.6% migrant workers reported awareness of HPV compared to 40.2% of local participants. In adjusted analysis migrant status was not associated with increased odds of previous cervical cancer screening (aOR = 1.11 95%CI: 0.76-1.60). High school or higher education compared to less than high school education and employer-sponsored insurance compared to uninsured were associated with increased odds of previous cervical cancer screening (aOR = 2.15 95%CI: 1.41-3.27 and aOR = 1.67 95% CI: 1.14-2.45, respectively). Having heard of HPV compared to no awareness of HPV was associated with increased odds of cervical cancer screening (aOR = 2.02 95%CI: 1.41-2.91). Awareness of HPV among migrant workers was associated with increased odds of cervical cancer screening compared to migrant and local participants without awareness (aOR = 2.82 95% CI: 1.70-4.69 and 2.97 95%CI: 1.51-5.83, respectively). Conclusions: Efforts to increase education opportunities, provide insurance, and promote HPV awareness could increase cervical cancer screening uptake in migrant women in China

    Molecular cloning, expression pattern, and putative cis-acting elements of a 4-coumarate:CoA ligase gene in bamboo ( Neosinocalamus affinis )

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    Background: 4-coumarate:CoA ligase (4CL) plays an important role at the divergence point from general phenylpropanoid metabolism to several branch pathways. Although 4CL sin higher plants have been extensively studied, little has known about the 4CL gene of bamboo. Results: In current study, a Na4CL gene putative encoding 4-coumarate:CoA ligase (4CL) and its 5\u2019-flanking region were isolated from bamboo (Neosinocalamus affinis) by RACE-PCR and genomic DNA walker, respectively. Na4CL encodes a predicted protein of 557 amino acids, with conserved motifs of adenylate-forming enzymes. Phylogenetic analysis showed that Na4CL shared 62~85% identity with other known plant 4CLs, and cluster closely with some known 4CLs in monocots. Sequence analysis revealed conserved cis-acting elements (Box A and AC-II element) present in the Na4CL promoter. Additionally, a Na4CL RNAi construct was transformed into tobacco. Transgenic tobaccos displayed significant down-expression of endogenesis 4CL and reduced lignin contents. Conclusion:These results contribute to the knowledge of the presence of Na4CL gen and its possible role in phenylpropanoid metabolism

    Metagenomic Sequencing Identifies Highly Diverse Assemblages of Dinoflagellate Cysts in Sediments From Ships\u27 Ballast Tanks

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    Ships\u27 ballast tanks have long been known as vectors for the introduction of organisms. We applied next-generation sequencing to detect dinoflagellates (mainly as cysts) in 32 ballast tank sediments collected during 2001-2003 from ships entering the Great Lakes or Chesapeake Bay and subsequently archived. Seventy-three dinoflagellates were fully identified to species level by this metagenomic approach and single-cell polymerase chain reaction (PCR)-based sequencing, including 19 toxic species, 36 harmful algal bloom (HAB) forming species, 22 previously unreported as producing cysts, and 55 reported from ballast tank sediments for the first time (including 13 freshwater species), plus 545 operational taxonomic units (OTUs) not fully identified due to a lack of reference sequences, indicating tank sediments are repositories of many previously undocumented taxa. Analyses indicated great heterogeneity of species composition among samples from different sources. Light and scanning electron microscopy and single-cell PCR sequencing supported and confirmed results of the metagenomic approach. This study increases the number of fully identified dinoflagellate species from ballast tank sediments to 142 (\u3e 50% increase). From the perspective of ballast water management, the high diversity and spatiotemporal heterogeneity of dinoflagellates in ballast tanks argues for continuing research and stringent adherence to procedures intended to prevent unintended introduction of non-indigenous toxic and HAB-forming species

    Human papillomavirus viral load as a useful triage tool for non-16/18 high-risk human papillomavirus positive women: A prospective screening cohort study

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    ASCCP cervical cancer screening guidelines recommend triaging high-risk human papillomavirus (hrHPV) positive women with cytology and genotyping, but cytology is often unavailable in resource-limited areas. We compared the long-term risk of cervical cancer and precancers among type-specific hrHPV-positive women triaged by viral load to cytology and visual inspection with acetic acid (VIA).A cohort of 1742 Chinese women was screened with cytology, VIA, and Hybrid Capture 2 (HC2) test and followed for ten years. All HC2-positive samples were genotyped. Viral load was measured by HC2 relative light units/cutoff (RLU/CO). Ten-year cumulative incidence rate (CIR) of cervical intraepithelial neoplasia grade 2 or worse (CIN2 +) for type-specific hrHPV viral load was estimated using Kaplan-Meier methods.Baseline hrHPV viral load stratified by specific genotypes was positively correlated with prevalent cytological lesions. Ten-year CIR of CIN2 + was associated with cytological lesions and viral load. Among HPV 16/18-positive women, ten-year CIR of CIN2 + was high, even with normal cytology (15.3%), normal VIA (32.4%), viral load with RLU/CO < 10 (23.6%) or RLU/CO < 100 (33.8%). Among non-16/18 hrHPV positive women, ten-year CIR of CIN2 + was significantly stratified by cytology grade of atypical squamous cell of undetermined significance or higher (2.0% VS. 34.6%), viral load cutoffs at 10 RLU/CO (5.1% VS. 27.2%), at 100 RLU/CO (11.0% VS. 35.5%), but not by VIA (19.1% VS. 19.0%).Our findings support the guidelines in referring all HPV16/18 positive women to colposcopy and suggest triaging non-16/18 hrHPV positive women using viral loads in resource-limited areas where cytology screening was inaccessible

    Benzyl 3-[(E)-furfuryl­idene]dithio­carbazate

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    In the title compound, C13H12N2OS2, the mol­ecule assumes an E configuration, with the furan ring and dithio­carbazate units located on opposite sides of the N=C double bond. In the crystal structure, mol­ecules are linked via two inter­molecular N—H⋯S hydrogen bonds to form centrosymmetric dimers

    Methyl 3-[(E)-1-(4-amino­phen­yl)ethyl­idene]dithio­carbazate

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    The title compound, C10H13N3S2, was obtained from a condensation reaction of methyl dithio­carbazate and 4-amino­acetophenone. In the crystal structure, the nearly planar mol­ecule assumes an E configuration, the benzene ring and dithio­carbazate group being located on opposite sides of the N=C bond. C—H⋯π inter­actions and N—H⋯S hydrogen bonding are present in the crystal structure

    Benzyl 3-[(E)-benzyl­idene]dithio­carbazate

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    Crystals of the title compound, C15H14N2S2, were obtained from a condensation reaction of benzyl dithio­carbazate and benzaldehyde. The mol­ecule assumes an E configuration about the N=C double bond. The phenyl ring of the thio­ester group is nearly perpendicular to the dithio­carbazate plane, with a dihedral angle of 84.60 (5)°. In the crystal structure, inter­molecular N—H⋯S hydrogen bonding links adjacent mol­ecules to form a centrosymmetric supra­molecular dimer

    Association of methylenetetrahydrofolate reductase C677T polymorphism and serum lipid levels in the Guangxi Bai Ku Yao and Han populations

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    <p>Abstract</p> <p>Background</p> <p>The association of methylenetetrahydrofolate reductase (MTHFR) gene polymorphism and serum lipid profiles is still controversial in diverse ethnics. Bai Ku Yao is an isolated subgroup of the Yao minority in China. The aim of the present study was to eveluate the association of MTHFR C677T polymorphism and several environmental factors with serum lipid levels in the Guangxi Bai Ku Yao and Han populations.</p> <p>Methods</p> <p>A total of 780 subjects of Bai Ku Yao and 686 participants of Han Chinese were randomly selected from our previous stratified randomized cluster samples. Genotyping of the MTHFR C677T was performed by polymerase chain reaction and restriction fragment length polymorphism combined with gel electrophoresis, and then confirmed by direct sequencing.</p> <p>Results</p> <p>The levels of serum total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), apolipoprotein (Apo) AI and ApoB were lower in Bai Ku Yao than in Han (<it>P </it>< 0.05-0.001). The frequency of C and T alleles was 77.4% and 22.6% in Bai Ku Yao, and 60.9% and 39.1% in Han (<it>P </it>< 0.001); respectively. The frequency of CC, CT and TT genotypes was 58.7%, 37.3% and 4.0% in Bai Ku Yao, and 32.6%, 56.4% and 11.0% in Han (<it>P </it>< 0.001); respectively. The levels of TC and LDL-C in both ethnic groups were significant differences among the three genotypes (<it>P </it>< 0.05-0.01). The T allele carriers had higher serum TC and LDL-C levels than the T allele noncarriers. The levels of ApoB in Han were significant differences among the three genotypes (<it>P </it>< 0.05). The T allele carriers had higher serum ApoB levels as compared with the T allele noncarriers. The levels of TC, TG and LDL-C in Bai Ku Yao were correlated with genotypes (<it>P </it>< 0.05-0.001), whereas the levels of LDL-C in Han were associated with genotypes (<it>P </it>< 0.001). Serum lipid parameters were also correlated with sex, age, body mass index, alcohol consumption, cigarette smoking, and blood pressure in the both ethnic groups.</p> <p>Conclusions</p> <p>The differences in serum TC, TG, LDL-C and ApoB levels between the two ethnic groups might partly result from different genotypic and allelic frequencies of the MTHFR C677T or different MTHFR gene-enviromental interactions.</p

    Predicting serum levels of lithium-treated patients: A supervised machine learning approach

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    Routine monitoring of lithium levels is common clinical practice. This is because the lithium prediction strategies available developed by previous studies are still limited due to insufficient prediction performance. Thus, we used machine learning approaches to predict lithium concentration in a large real-world dataset. Real-world data from multicenter electronic medical records were used in different machine learning algorithms to predict: (1) whether the serum level was 0.6-1.2 mmol/L or 0.0-0.6 mmol/L (binary prediction), and (2) its concentration value (continuous prediction). We developed models from 1505 samples through 5-fold cross-validation and used 204 independent samples to test their performance by evaluating their accuracy. Moreover, we ranked the most important clinical features in different models and reconstructed three reduced models with fewer clinical features. For binary and continuous predictions, the average accuracy of these models was 0.70-0.73 and 0.68-0.75, respectively. Seven features were listed as important features related to serum lithium levels of 0.6-1.2 mmol/L or higher lithium concentration, namely older age, lower systolic blood pressure, higher daily and last doses of lithium prescription, concomitant psychotropic drugs with valproic acid and -pine drugs, and comorbid substance-related disorders. After reducing the features in the three new predictive models, the binary or continuous models still had an average accuracy of 0.67-0.74. Machine learning processes complex clinical data and provides a potential tool for predicting lithium concentration. This may help in clinical decision-making and reduce the frequency of serum level monitoring
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