http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Screening-Level Assays for Potentially Human-Infectious Environmental Legionella spp.
Helen Y. Buse,Abby Brehm,Jorge W. Santo Domingo,Nicholas J. Ashbolt 한국미생물학회 2011 The journal of microbiology Vol.49 No.2
In spite of the fact that various Legionella species are isolated from nonclinical water settings, there is no standard method to determine whether environmental legionellae may be infectious to humans. Here we provide a screening-level approach based on an in vivo murine (A/J mouse) model and three in vitro proliferation assays using Acanthamoeba polyphaga, and THP-1 human and J774 murine macrophage cell lines to identify potentially human-infectious legionellae. As an initial demonstration the infectivity potential of three clinical (Legionella pneumophila, L. longbeacheae, and L. micdadei) and three environmental (L. dumoffii, L. maceachernii, and L. sainthelensi) legionellae were evaluated. A/J mice were intranasally infected and by 6 h post infection (p.i.), there were significant bacterial titers in the lungs. L. pneumophila,L. dumoffii, and L. micdadei densities were higher than L. longbeacheae, L. maceacherni, and L. sainthelensi at 24 h p.i. However, only L. pneumophila and L. micdadei persisted in the lungs after 48 h, indicating that the other isolates were rapidly cleared. Results from the in vitro assays showed that only L. pneumophila significantly multiplied within A. polyphaga, THP-1 and J774 cells after 72 h, but lysis of any of the in vitro hosts also flagged the strains for potential concern (e.g. L. dumoffii and L. micdadei). The results demonstrate the value of using multiple approaches to assess the potential level of pathogenicity of Legionella strains isolated from different environmental matrices.
Caren P. Shin,Abby Hoffman,Wanyi Lee,Roger C. Kendrick,David M. Baker,Timothy C. Bonebrake 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.4
Urban landscapes provide unique environments for a wide variety of plants and animals, but their suitability may be limited by anthropogenic impacts such as pollution. We examined the potential utility of lichen and lichen-feeding moths as biodindicators of air pollution in Hong Kong by comparing carbon (C) and nitrogen (N) stable isotope values in lichens, lichenivorous and non-lichenivorous moths (Lepidoptera: Erebidae) and a moth outgroup (Lepidoptera: Geometridae). Our results show that stable isotope values for C and N were similar for lichens and lichen feeding moths, while non-lichen feeding moths formed a distinct group. In addition, we found consistent δ 13 C and δ 15 N values across moth body parts, indicating that any portion of the specimen is suitable for isotopic fingerprinting. Our results highlight that lichen feeding moths may be useful for integrating signals of atmospheric nitrogen pollution and could therefore have utility in monitoring and quantifying air quality over time and space.
Huang, Yunda,Zhang, Lily,Janes, Holly,Frahm, Nicole,Isaacs, Abby,Kim, Jerome H.,Montefiori, David,McElrath, M. Julie,Tomaras, Georgia D.,Gilbert, Peter B. Elsevier 2017 Vaccine Vol.35 No.8
<P><B>Abstract</B></P> <P><B>Background</B></P> <P>The evaluation of durable immune responses is important in HIV vaccine research and development. The efficiency of such evaluation could be increased by incorporating predictors of the responses in the statistical analysis. In this paper, we investigated whether and how baseline demographic variables and immune responses measured two weeks after vaccination predicted durable immune responses measured six months later.</P> <P><B>Methods</B></P> <P>We included data from seven preventive HIV vaccine regimens evaluated in three clinical trials: a Phase 1 study of four DNA, NYVAC and/or AIDSVAX vaccine regimens (HVTN096), a Phase 2 study of two DNA and/or MVA vaccine regimens (HVTN205), and a Phase 3 study of a single ALVAC/AIDSVAX regimen (RV144). Regularized random forests and linear regression models were used to identify and evaluate predictors of the positivity and magnitude of durable immune responses.</P> <P><B>Results</B></P> <P>We analyzed 201 vaccine recipients with data from 10 to 127 immune response biomarkers, and 3–5 demographic variables. The best prediction of participants’ durable response positivity based on two-week responses rendered up to close-to-perfect accuracy; the best prediction of participants’ durable response magnitude rendered correlation coefficients between the observed and predicted responses ranging up to 0.91. Though prediction performances differed among biomarkers, durable immune responses were best predicted by the two-week response level of the same biomarker. Adding demographic information and two-week response levels of different biomarkers provided little or no improvement in the predictions.</P> <P><B>Conclusions</B></P> <P>For some biomarkers and for the vaccines we studied, two-week post-vaccination responses can well predict durable responses six months later. Therefore, if immune response durability is only assessed in a sub-sample of vaccine recipients, statistical analyses of durable responses will have increased efficiency by incorporating two-week response data. Further research is needed to generalize the findings to other vaccine regimens and biomarkers.</P> <P>Clinicaltrials.gov identifiers: NCT01799954, NCT00820846, NCT00223080.</P> <P><B>Highlights</B></P> <P> <UL> <LI> HIV vaccine-induced immune responses at 2weeks predict those 6months later. </LI> <LI> The former responses can increase evaluation efficiency of vaccine durability. </LI> <LI> The former responses of the same biomarker best predict the latter. </LI> <LI> Demographics and responses of other biomarkers add little for prediction. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Male Breast Cancer: A Comparative Analysis from the National Cancer Database
Elimimian Elizabeth B.,Elson Leah,Li Hong,Liang Hong,Bilani Nadeem,Zabor Emily C.,Statler Abby,Nahleh Zeina 대한남성과학회 2021 The World Journal of Men's Health Vol.39 No.3
Purpose: Breast cancer (BC) in males accounts for <0.5% of all male cancer diagnoses and ~1% of all BCs in the United States. We sought to describe clinicopathologic characteristics among male and female BC patients and differences in overall survival (OS) through the National Cancer Database over 13 years (2004–2016). Materials and Methods: Secondary to the 1:99 ratio of male to female BC cases, we randomly selected female cases for equal comparison to males cases by diagnosis year. Chi-square and t-tests compared demographic and tumor characteristics. OS was examined using Kaplan–Meier survival analysis. Results: Among the ~2.7 million BC patients, 9 per 1,000 BCs were in males, the rate remained similar over time. The mean (SD) age was 64.9±13.0 years for males and 60.7±13.6 years for females. Most of the male BC cases were white (non-Hispanic) (n=19,015 [80.2%]), clinical stage I (n=7,353 [32.1%]) or stage II disease (n=7,923 [34.6%]), and tumors were moderate or poorly differentiated (84.5%). Males exhibited more comorbidities, presented with a larger proportion of disease, and decreased OS (p<0.005) than females. Male OS was >10% lower at 5-years and nearly 20% lower at 10-years for males. More males had primary BC tumors under the nipple; the 10-year OS rate for this site was 48.8%. Conclusions: This study reports clinicopathologic characteristics of a large cohort of male BC. Males present at older age, with a greater comorbidity index, at later stages of disease. Increased education regarding the continued risks of male breast cancer may be warranted.