A case of primary breast angiosarcoma diagnosed by multimodal ultrasound imaging with literature review.

Primary Breast Angiosarcoma (PBA) is an exceptionally rare form of breast cancer, accounting for less than 0.05% of all breast cancers. It is characterized by a high level of malignancy, invasiveness, and has a prognosis that is typically poor. The lack of distinctive clinical features makes it prone to underdiagnosis and misdiagnosis. This study retrospectively examines a case utilizing multimodal ultrasound imaging techniques (including 2D ultrasound, contrast-enhanced ultrasound, and ultrasound elastography) for diagnosing PBA. Furthermore, the study reviews relevant literature to summarize the ultrasound characteristics of PBA, with the aim of improving understanding of this elusive condition.

Characteristics of typical intermediate and semi volatile organic compounds in Shanghai during China International Import Expo event.

To ensure good air quality during the China International Import Expo (CIIE) event, stringent emission-reduction measures were implemented in Shanghai. To assess the efficacy of these measures, this study measured typical categories of intermediate/semi volatile organic compounds (I/SVOCs), including alkanes (C10-C26 n-alkanes and pristane), EPA-priority polycyclic aromatic hydrocarbons (PAHs), alkylnaphthalenes, benzothiazole (BTH) and chlorobenzenes (CBs), at an urban site of Shanghai before and during two CIIE events (2019 and 2020; non-CIIE versus CIIE). The average concentrations of alkanes and PAHs during both 2019 and 2020 CIIE events decreased by approximately 41% and 17%, respectively, compared to non-CIIE periods. However, the decline in BTH and CBs was only observed during CIIE-2019. Secondary organic aerosol (SOA) formation from alkanes, PAHs and BTH was evaluated under atmospheric conditions, revealing considerable SOA contributions from dimethylnaphthalenes and BTH. Positive matrix factorization (PMF) analysis further revealed that life-related sources, such as cooking and residential emissions, make a noticeable contribution (21.6%) in addition to the commonly concerned gasoline-vehicle sources (31.5%), diesel-related emissions (20.8%), industrial emissions (18.6%) and ship emissions (7.5%). These findings provide valuable insights into the efficacy of the implemented measures in reducing atmospheric I/SVOCs levels. Moreover, our results highlight the significance of exploring additional individual species of I/SVOCs and life-related sources for further research and policy development.

The discriminatory diagnostic value of multimodal ultrasound combined with blood cell analysis for granulomatous lobular mastitis and invasive ductal carcinoma of the breast.

OBJECTIVE: To explore the discriminatory diagnostic value of multimodal ultrasound(US) combined with blood cell analysis(BCA) for Granulomatous Lobular Mastitis (GLM) and Invasive Ductal Carcinoma(IDC) of the breast. METHODS: A total of 157 breast disease patients were collected and divided into two groups based on postoperative pathological results: the GLM group(57 cases with 57 lesions) and the IDC group(100 cases with 100 lesions). Differences in multimodal ultrasound features and the presence of BCA were compared between the two groups. The receiver operating characteristic(ROC) curve was used to calculate the optimal cutoff values, sensitivity, specificity, 95% confidence interval(CI), and the area under the curve(AUC) for patient age, lesion size, lesion resistive index(RI), and white blood cell(WBC) count in BCA. Sensitivity, specificity, positive predictive value, negative predictive value, diagnostic accuracy, and AUC were calculated for different diagnostic methods. RESULTS: There were statistically significant differences(P <  0.05) observed between GLM and IDC patients in terms of age, breast pain, the factors in Conventional US(lesion size, RI, nipple delineation, solitary/multiple lesions, margin, liquefaction area, growth direction, microcalcifications, posterior echogenicity and abnormal axillary lymph nodes), the factors in CEUS(contrast agent enhancement intensity, enhancement pattern, enhancement range, and crab-like enhancement) and the factors in BCA(white blood cells, neutrophils, lymphocytes and monocytes). ROC curve analysis results showed that the optimal cutoff values for distinguishing GLM from IDC were 40.5 years for age, 7.15 cm for lesion size, 0.655 for lesion RI, and 10.525*109/L for white blood cells. The diagnostic accuracy of conventional US combined with CEUS(US-CEUS) was the highest(97.45%). The diagnostic performance AUCs for US-CEUS, CEUS, and US were 0.965, 0.921 and 0.832, respectively. CONCLUSION: Multifactorial analysis of multimodal ultrasound features and BCA had high clinical application value in the differential diagnosis of GLM and IDC.

Ozone Exposure During Pregnancy and Risk of Gestational Hypertension or Preeclampsia in China.

Importance: Although certain air pollutants have been associated with adverse obstetric outcomes, evidence regarding the association of ozone (O3) exposure with the risk of hypertensive disorders in pregnancy (HDP) is limited and inconsistent. Objectives: To evaluate the association between gestational O3 exposure and HDP (ie, gestational hypertension and preeclampsia) risk, and to explore the window of susceptibility for O3 exposure during pregnancy. Design, Setting, and Participants: This cohort study recruited pregnant patients from the Obstetrics and Gynecology Hospital of Fudan University in Shanghai, China, from March 2017 to December 2018. Participants were older than 18 years, had no infectious diseases or chronic noncommunicable diseases before pregnancy, were Shanghai residents with intent to participate in the study, and had plans to give birth in Shanghai. Gestational hypertension and preeclampsia were diagnosed according to the diagnostic criteria of the Chinese Society of Obstetrics and Gynecology during the study period. Data on residential addresses, demographic characteristics, and household living environments were collected from participants through a questionnaire survey. Data were analyzed from December 10, 2021, to May 10, 2022. Exposures: A high temporospatial resolution model was applied to predict individual levels of daily O3 exposure during pregnancy. Main Outcomes and Measures: The outcomes were gestational hypertension and preeclampsia, and data on these diagnoses were extracted from the hospital's information system. A logistic regression model was used to estimate the associations between O3 exposure and risk of gestational hypertension or preeclampsia. Exposure-response associations were confirmed by restricted cubic spline functions. Distributed lag models were used to identify the O3 exposure window of susceptibility. Results: Among the 7841 participants (all females; mean [SD] age, 30.4 [3.8] years), 255 (3.2%) had gestational hypertension and 406 (5.2%) had preeclampsia. Pregnant individuals with HDP had considerably higher prepregnancy body mass indexes and lower educational levels. The mean (SD) O3 exposure levels were 97.66 (25.71) µg/m3 in the first trimester and 106.13 (22.13) µg/m3 in the second trimester. Each 10-µg/m3 increment of O3 exposure during the first trimester was associated with higher gestational hypertension risk (relative risk, 1.28; 95% CI, 1.04-1.57). However, gestational O3 exposure was not associated with the risk of preeclampsia. The restricted cubic spline function analysis revealed an exposure-response association between O3 exposure and risk of gestational hypertension. Conclusions and Relevance: Results of this study showed an association between increased gestational hypertension risk and O3 exposure during the first trimester. Furthermore, gestational weeks 1 to 9 were identified as the window of susceptibility for O3 exposure and elevated gestational hypertension risk. Sustainable O3 control is needed to reduce the disease burden of gestational hypertension.

[Spatial and Temporal Distribution Characteristics of Ozone Concentration and Population Health Benefit Assessment in the Yangtze River Delta Region from 2017 to 2020].

In recent years, the ozone (O3) concentration has showed a rising trend in China, becoming second only to PM2.5 as an important factor affecting air quality. To grasp the spatial-temporal variations characteristics of O3 and the associated health impacts during the implementation of the three-year plan on defending the blue sky in the Yangtze River Delta (YRD) region, data collected from 210 monitoring stations in the YRD from 2017 to 2020 were analyzed using the global Moran's index and Getis-Ord Gi* index methods, and the associated health benefits of reduced O3 exposure were evaluated using the health risk and environmental value assessment methods. The results showed that during the study period, the interquartile range (IQR) of the annual average O3 concentration and that of the warm season both presented a declining trend. The average O3 concentrations in both warm and cold seasons showed a similar spatial distribution pattern, with the northern part exhibiting the higher concentrations and the southern part showing the lower concentrations. Furthermore, the O3 concentrations in the warm season were characterized by high O3 concentrations clustering in the northern and central part of the region. The proportion of the population exposure to annual average O3 concentration over 160 µg·m-3 decreased from 72.3% in 2017 to 34.8% in 2020 in the YRD. Although the population-weighted annual mean O3 concentration in the whole YRD region showed a downward trend, some cities in western Anhui province, northern Jiangsu province, and central Jiangsu province showed fluctuations and even an increasing trend. In terms of health benefits, there were 3782 cases (95% CI:2050-5511 cases) of avoided premature deaths associated with reduced O3 concentrations in the warm season in 2020 compared to 2017. The total health benefit was 26198 million yuan (95% CI:14201-38175 million yuan). Compared to the cost of the main O3 precursor emission reduction, the cost-benefits ratio was 1:1.67 to 3.23.

Observation-based sources evolution of non-methane hydrocarbons (NMHCs) in a megacity of China.

Both concentrations and emissions of many air pollutants have been decreasing due to implement of control measures in China, in contrast to the fact that an increase in emissions of non-methane hydrocarbons (NMHCs) has been reported. This study employed seven years continuous NMHCs measurements and the related activities data of Shanghai, a megacity in China, to explore evolution of emissions and effectiveness of air pollution control measures. The mixing ratio of NMHCs showed no statistical interannual changes, of which their compositions exhibited marked changes. This resulted in a decreasing trend of ozone formation potential by 3.8%/year (p < 0.05, the same below), which should be beneficial to ozone pollution mitigation as its production in Shanghai is in the NMHCs-limited regime. Observed alkanes, aromatics and acetylene changed by +3.7%/year, -5.9%/year and -7.4%/year, respectively, and alkenes showed no apparent trend. NMHCs sources were apportioned by a positive matrix factorization model. Accordingly, vehicular emissions (-5.9%/year) and petrochemical industry emissions (-7.1%/year) decreased significantly, but the decrease slowed down; significant reduction in solvent usage (-9.0%/year) appeared after 2010; however, emissions of natural gas (+12.6%/year) and fuel evaporation (with an increasing fraction) became more important. The inconsistency between observations and inventories was found in interannual trend and speciation as well as source contributions, emphasizing the need for further validation in NMHCs emission inventory. Our study confirms the effectiveness of measures targeting mobile and centralized emissions from industrial sources and reveals a need focusing on fugitive emissions, which provided new insights into future air policies in polluted region.

[Characteristics of Nitroaromatic Compounds in PM2.5 in Urban Area of Shanghai].

Nitroaromatic compounds (NACs) are an important class of nitrogen-containing compounds in fine particles. The investigation of characteristics and seasonal variation of NACs in PM2.5 increases our knowledge about nitrogen-containing compounds and contributes to the scientific basis in formulating reduction policies of NOx in urban areas. In this study, we analyzed the chemical composition of PM2.5 samples collected from March 2018 to February 2019 in an urban location in Shanghai. A total of 2439-3695 organic molecular formulas were detected using UPLC-Orbitrap MS. Nine NACs were quantified using an internal standard method. In spring, ρ(NACs) ranged from 3.12 to 16.76 ng·m-3, and the average concentration was 9.31 ng·m-3. In summer, it ranged from 1.05 to 9.70 ng·m-3, and the average value was 4.16 ng·m-3. In autumn, it ranged from 2.87 to 36.27 ng·m-3, and its average was 9.84 ng·m-3. In winter, it ranged from 4.83 to 56.23 ng·m-3, and the average was 22.37 ng·m-3. 4-Nitrophenol accounted for more than 25% of the quantified NACs in different seasons. In summer, the concentration of 5-nitrosalicylic acid accounted for 36%, but it decreased to 19% in winter. NACs in summer mainly originated from secondary formation, as evidenced by their clear correlation with the oxidant level, whereas biomass burning became the main source of NACs in winter.

Identification of key differentially expressed genes between ER-positive/HER2-negative breast cancer and ER-negative/HER2-negative breast cancer using integrated bioinformatics analysis.

BACKGROUND: Treatment strategies for various subtypes of breast cancer (BC) are different based on their distinct molecular characteristics. Therefore, it is very important to identify key differentially expressed genes (DEGs) between ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. METHODS: Gene expression profiles of GSE22093 and GSE23988 were obtained from the Gene Expression Omnibus database. There were 74 ER-positive/HER2-negative BC tissues and 85 ER-negative/HER2-negative BC tissues in the two profile datasets. DEGs between ER-positive/HER2-negative tissues and ER-negative/HER2-negative BC tissues were identified by the GEO2R tool. The common DEGs among the two datasets were detected with Venn software online. Next, we made use of the Database for Annotation, Visualization and Integrated Discovery to analyze enriched Kyoto Encyclopedia of Gene and Genome (KEGG) pathways and gene ontology terms. Then, the protein-protein interactions (PPIs) of these DEGs were visualized by Cytoscape with the Search Tool for the Retrieval of Interacting Genes. Of the proteins in the PPI network, Molecular Complex Detection plug-in analysis identified nine core upregulated genes and one core downregulated gene. UALCAN and Gene Expression Profiling Interactive Analysis were applied to determine the expression of these 10 genes in BC. Furthermore, for the analysis of overall survival among those genes, the Kaplan-Meier method was implemented. RESULTS: Ninety-three common DEGs (63 upregulated and 30 downregulated) were identified. KEGG pathway enrichment analysis showed that upregulated DEGs were particularly enriched in the progesterone-mediated oocyte maturation pathway. In addition, PGR might be a prognostic biomarker for ER-positive/HER2-negative BC. CCND1 is a poor prognostic biomarker for ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. Moreover, TFF1, AGR2 and EGFR might be predictive biomarkers of node metastasis in ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. CONCLUSIONS: CCND1, AGR2, PGR, TFF1 and EGFR are the key DEGs between ER-positive/HER2-negative BC and ER-negative/HER2-negative BC. Further studies are required to confirm the functions of the identified genes.

Key genes involved in cell cycle arrest and DNA damage repair identified in anaplastic thyroid carcinoma using integrated bioinformatics analysis.

BACKGROUND: Since anaplastic thyroid carcinoma (ATC) has rapid progression and a poor outcome, identification of the key genes and underlying mechanisms of ATC is required. METHODS: Gene expression profiles of GSE29265 and GSE33630 were available from the Gene Expression Omnibus database. The two profile datasets included 19 ATC tissues, 55 normal thyroid tissues and 59 papillary thyroid cancer (PTC) tissues. Differentially expressed genes (DEGs) between ATC tissues and normal thyroid tissues as well as ATC tissues and PTC tissues were identified using the GEO2R tool. Common DEGs between the two datasets were selected via Venn software online. Then, we applied the Database for Annotation, Visualization and Integrated Discovery for Kyoto Encyclopedia of Gene and Genome pathway and gene ontology (GO) analyses. Additionally, protein-protein interactions (PPIs) of these DEGs were visualized via Cytoscape with Search Tool for the Retrieval of Interacting Genes. In the PPI networks analyzed by the Molecular Complex Detection plug-in, all 54 upregulated core genes were selected. Furthermore, Kaplan-Meier analysis was applied to analyze overall survival based on these 54 genes. Then, we used the DrugBank database to identify drug relationships for the 54 genes. Additionally, we validated the correlations between genes enriched in pathways and genes identified as prognosis biomarkers of THCA by Gene Expression Profiling Interactive Analysis. RESULTS: Four genes (CCNB1, CCNB2, CDK1 and CHEK1) involved cell cycle arrest and DNA repair were significantly enriched in the G2/M phase of the cell cycle pathway and before G2 phase arrest of the P53 pathway. Inhibitors of CHEK1, CDK1 and TOP2A were identified in the DrugBank database. ANLN, DEPDC1, KIF2C, CENPN, TACC3 CCNB2 and CDC6 were hypothesized to be prognostic biomarkers of ATC. Furthermore, CCNB1, CCNB2, CDK1 and CHEK1 were significantly positively associated with these prognosis genes. CONCLUSIONS: CCNB1, CCNB2, CDK1 and CHEK1 may be key genes involved cell cycle arrest and DNA damage repair in ATC. Further studies are required to confirm the contributions of the identified genes to ATC progression and survival.

[Exposure Levels, Sources, and Health Risks of Heavy Metal Components of PM2.5 in Housewives in Rural Shanghai].

To investigate exposure characteristics and potential health risk of PM2.5-bound heavy metals in housewives in rural areas, 265 personal exposure samples from 143 subjects were collected in the Songjiang district, Shanghai from February 2017 to June 2018. Mass concentrations of 13 elements in PM2.5 were determined by energy-dispersive X-ray fluorescence spectrometry (ED-XRF). The sources of heavy metal components in PM2.5 were analyzed using positive matrix factorization (PMF). The inhalation health risks of exposure to Ni, V, Cr, Mn, As, and Pb were analyzed using the US EPA health risk assessment model. The results showed that the average concentration of personal exposure to PM2.5 was 40.61 µg·m-3 in housewives, which was higher than the concentration at peripheral monitoring stations. The carcinogenic risks of Cr(Ⅵ)and As exceeded the acceptable risk level (10-6). The non-carcinogenic risks of V, Cr(Ⅵ), Mn, Ni, and As were all below the safety threshold, while the total non-carcinogenic risks of these five elements were higher than the safety threshold (>1). The results of PMF indicated that resuspended dust and indoor dust(43.8%), the metallurgy industry(34.6%), coal combustion(14.5%), and fossil-fuel combustion(7.2%)were the major sources of ten elements (Al, Ti, V, Cr, Mn, Fe, Ni, Zn, As, and Pb) in PM2.5. Based on the results of health risk assessment of pollution sources, control measures on the metallurgy industry and fossil-fuel combustion should be further strengthened.

Predicting gestational personal exposure to PM2.5 from satellite-driven ambient concentrations in Shanghai.

BACKGROUND: It has been widely reported that gestational exposure to fine particulate matters (PM2.5) is associated with a series of adverse birth outcomes. However, the discrepancy between ambient PM2.5 concentrations and personal PM2.5 exposure would significantly affect the estimation of exposure-response relationship. OBJECTIVE: Our study aimed to predict gestational personal exposure to PM2.5 from the satellite-driven ambient concentrations and analyze the influence of other potential determinants. METHOD: We collected 762 72-h personal exposure samples from a panel of 329 pregnant women in Shanghai, China as well as their time-activity patterns from Feb 2017 to Jun 2018. We established an ambient PM2.5 model based on MAIAC AOD at 1 km resolution, then used its output as a major predictor to develop a personal exposure model. RESULTS: Our ambient PM2.5 model yielded a cross-validation R2 of 0.96. Personal PM2.5 exposure levels were almost identical to the corresponding ambient concentrations. After adjusting for time-activity patterns and meteorological factors, our personal exposure has a CV R2 of 0.76. CONCLUSION: We established a prediction model for gestational personal exposure to PM2.5 from satellite-based ambient concentrations and provided a methodological reference for further epidemiological studies.

[Health Benefit Analyses of the Clean Air Action Plan Implementation in Shanghai].

To understand the public health benefits of the Clean Air Action Plan implemented in Shanghai from 2013-2017, the changes of the PM2.5 exposure levels and related health and economic benefits were quantitatively evaluated by using air quality numerical modeling, health risk assessment, and environmental valuation methods. The results show that the proportion of the population exposed to a mean annual PM2.5 concentration lower than or equal to 35 µg·m-3 has increased from 1.62% in the base year to 34.06% in the control year. The death risk attributable to ambient PM2.5 exposure decreased from 15.2% in the base year to 11.9% in the control year. The total health benefits are approximately 11.841 billion RMB(95% CI:5.024-17.819 billion RMB), accounting for 0.55%(95% CI:0.23%-0.82%)of Shanghai's GDP in 2013. The implementation of the action plan has a positive effect on the protection of the health of the population. Health benefits in areas with dense populations and high PM2.5 declines are more pronounced within the outer ring line of Shanghai City.

Proliferative myositis and nodular fasciitis: a retrospective study with clinicopathologic and radiologic correlation.

Proliferative myositis (PM) and nodular fasciitis (NF) are two diseases easily misdiagnosed as cancer, often promoting unnecessary invasive procedures. To make accurate diagnoses of PM and NF and for the differential diagnosis between them, we performed a retrospective study to evaluate the roles of the clinical, radiologic, and pathologic characteristics of PM and NF. With an emphasis on the clinicopathologic and radiologic characteristics, we conducted a retrospective study of 8 cases of PM and 64 cases of NF that were diagnosed between 2012 and 2018. According to MRI findings, the lesions of PM and NF appeared as homogeneous masses with homogenous hypointensity or isointensity on T1-weighted images and as moderately or markedly hyperintense signals on T2-weighted images compared to skeletal muscle. In terms of histopathologic features, the differences between PM and NF mainly consisted of the presence of ganglion-like myofibroblasts with vesicular nuclei and basophilic cytoplasm in PM. The areas abundant in myxoid stroma with inflammatory infiltration that did not have abundant ganglion-like cells suggest NF. Immunohistochemically, the spindle-shaped cells of PM stained positive for smooth muscle actin (SMA), while the ganglion-like cells were negative. The spindle-shaped cells of NF showed diffuse expression of SMA, calponin, and vimentin. Our comprehensive study further demonstrated that PM and NF had a wide clinicopathologic and radiologic spectrum. Correlation with the clinical, radiologic and pathologic characteristics may help clinicians and pathologists make accurate diagnoses.

VOC characteristics and inhalation health risks in newly renovated residences in Shanghai, China.

BACKGROUND: Exposure to indoor VOCs is expected to link to a variety of negative health outcome. The popularity of decorations and refurbishment in homes in China has given rise to indoor elevated VOC levels, potentially posing health threats to residents. METHODS: In this study, concentrations of 101 VOC compounds and associated health risks were investigated in newly renovated homes in Shanghai. The potential excess inhalation health risks from home exposure of 17 health-related VOCs were estimated by the Inhalation Unit Risk (IUR) and Reference Concentration (RfC) proposed by US EPA. Monte Carlo simulation and sensitivity analysis were used to assess the uncertainty associated with the estimates of health risks. RESULTS: The dominant groups by mass concentration were oxygenated VOCs (o-VOCs), aromatics, alkanes and halogenated VOCs (x-VOCs) .12 VOCs with IARC's confirmed or probable carcinogens ratings were detected with a >60% detection frequency in the total samples. The mean concentrations of BTEX (benzene, toluene, m/p-xylene, o-xylene, ethylbenzene) were 2.32µg/m3, 200.13µg/m3, 39.56µg/m3, 32.59µg/m3 and 26.33µg/m3 respectively, generally higher than those in older homes reported in previous studies except benzene. The mean concentration of methylene chloride (47.43µg/m3) and 1,2-dichloroethane (33.83µg/m3) were noticeably higher than the levels reported in previous studies in Hong Kong, Japan and Canada. Whereas the mean concentration of 1,4-dichlorobenzene (5.53µg/m3) were similar to the results of Canadian national survey but lower than those in Japan. The concentrations of 1,2-dichloroethane, 1,4-dichlorobenzene, and methylene chloride, ethylbenzene presented a mean cancer risk at 7.39×10-6, 1.95×10-6, 1.62×10-6, 1.04×10-6 respectively, above the US EPA proposed acceptable risk level of 1×10-6. Sensitivity analyses indicated that the VOC exposure concentration have a greater impact than the IUR values on the risk assessment. CONCLUSION: This study highlights the characteristics of VOCs in recently renovated homes and has implications for the adverse health effects that result from exposure to chlorinated hydrocarbons in indoor air.

PM2.5 constituents and hospital emergency-room visits in Shanghai, China.

Although ambient PM2.5 has been linked to adverse health effects, the chemical constituents that cause harm are largely unclear. Few prior studies in a developing country have reported the health impacts of PM2.5 constituents. In this study, we examined the short-term association between PM2.5 constituents and emergency room visits in Shanghai, China. We measured daily concentrations of PM2.5, organic carbon (OC), elemental carbon (EC), and eight water-soluble ions between January 1, 2011 and December 31, 2012. We analyzed the data using overdispersed generalized linear Poisson models. During our study period, the mean daily average concentration of PM2.5 in Shanghai was 55 µg/m(3). Major contributors to PM2.5 mass included OC, EC, sulfate, nitrate, and ammonium. For a 1-day lag, an interquartile range increment in PM2.5 mass (36.47 µg/m(3)) corresponded to 0.57% [95% confidence interval (CI): 0.13%, 1.01%] increase of emergency room visits. In all the three models used, we found significant positive associations of emergency room visits with OC and EC. Our findings suggest that PM2.5 constituents from the combustion of fossil fuel (e.g., OC and EC) may have an appreciable influence on the health impact attributable to PM2.5.

Acoustic radiation force impulse elastography of breast imaging reporting and data system category 4 breast lesions.

INTRODUCTION: This population-based study on early breast cancer detection in women aimed to evaluate acoustic radiation force impulse elastography to differentiate BI-RADS (Breast Imaging Reporting and Data System) category 4 lesions. METHODS: Acoustic radiation force impulse was performed on 95 patients with 122 BI-RADS 4 breast lesions diagnosed by conventional ultrasound. We calculated the area ratio of lesions by using virtual touch tissue imaging and gray-scale imaging. By using virtual touch tissue quantification, we calculated the ratio of shear wave velocity (SWV) in lesions and in surrounding glandular tissue at the same depth (SWV ratio). RESULTS: The mean area ratio of benign lesions (1.09 ± 0.17) differed from that of the malignant lesions (1.96 ± 0.64; P < .001). The mean SWV ratio of benign lesions (2.44 ± 1.27) was lower than that of malignant lesions (5.74 ± 1.68; P < .001). The cutoff for the area and SWV ratios for malignancy were estimated to be 1.37 and 3.65, respectively. CONCLUSIONS: Acoustic radiation force impulse provides quantitative elasticity measurements, which, combined with conventional ultrasound, can potentially improve the diagnostic accuracy of BI-RADS 4 breast lesions, and it is helpful to regulate the BI-RADS classification and avoid the need for unnecessary biopsies.

Conformational control of inorganic adhesion in a designer protein engineered for cuprous oxide binding.

Combinatorial selection of peptides that bind technological materials has emerged as a valuable tool for room-temperature nucleation and assembly of complex nanostructured materials. At present, the parameters that control peptide-solid binding are poorly understood, but such knowledge is needed to build the next generation of hybrid materials. Here, we use a derivative of the DNA binding protein TraI engineered with a disulfide-bonded cuprous oxide binding sequence called CN225 to probe the influence of sequence composition and conformation on Cu2O binding affinity. We previously reported a statistically significant enrichment in paired arginines (RR) among a family of cuprous oxide binding peptides and hypothesized that this is a key motif for binding. However, systematic alanine (A) substitutions in the CN225 RR motif (creating RA, AR, and AA pairs) do not support the hypothesis that RR is critical for Cu2O binding by CN225. Instead, we find that the presentation of the peptide in a disulfide-constrained loop (i.e., the conformation present during combinatorial selection) is crucial for binding to the metal oxide. Our results suggest that caution should be exerted when extrapolating from statistical data and that, in some cases, conformation is more important than composition in determining peptide-inorganic adhesion.

Nonequilibrium synthesis and assembly of hybrid inorganic-protein nanostructures using an engineered DNA binding protein.

We show that a protein with no intrinsic inorganic synthesis activity can be endowed with the ability to control the formation of inorganic nanostructures under thermodynamically unfavorable (nonequilibrium) conditions, reproducing a key feature of biological hard-tissue growth and assembly. The nonequilibrium synthesis of Cu(2)O nanoparticles is accomplished using an engineered derivative of the DNA-binding protein TraI in a room-temperature precursor electrolyte. The functional TraI derivative (TraIi1753::CN225) is engineered to possess a cysteine-constrained 12-residue Cu(2)O binding sequence, designated CN225, that is inserted into a permissive site in TraI. When TraIi1753::CN225 is included in the precursor electrolyte, stable Cu(2)O nanoparticles form, even though the concentrations of [Cu(+)] and [OH(-)] are at 5% of the solubility product (K(sp,Cu2O)). Negative control experiments verify that Cu(2)O formation is controlled by inclusion of the CN225 binding sequence. Transmission electron microscopy and electron diffraction reveal a core-shell structure for the nonequilibrium nanoparticles: a 2 nm Cu(2)O core is surrounded by an adsorbed protein shell. Quantitative protein adsorption studies show that the unexpected stability of Cu(2)O is imparted by the nanomolar surface binding affinity of TraIi1753::CN225 for Cu(2)O (K(d) = 1.2 x 10(-)(8) M), which provides favorable interfacial energetics (-45 kJ/mol) for the core-shell configuration. The protein shell retains the DNA-binding traits of TraI, as evidenced by the spontaneous organization of nanoparticles onto circular double-stranded DNA.

Identification and characterization of Cu(2)O- and ZnO-binding polypeptides by Escherichia coli cell surface display: toward an understanding of metal oxide binding.

We have used the FliTrx cell surface display system to identify disulfide-constrained dodecapeptides binding to the semiconducting metal oxides Cu(2)O and ZnO. Sequence analysis of the inserts revealed that the two populations exhibit similar, yet subtly different patterns of amino acid usage. Both sets of binders were enriched in arginine, tryptophan, and glycine with a higher degree of positional preference in the case of Cu(2)O binders. Tyrosine, proline, and serine were underrepresented in both populations. Peptides binding electrodeposited Cu(2)O or ZnO with high avidity could be subdivided into two classes based on pI and hydrophilicity. In the hydrophilic and positively charged Class I binders, the Arg-X-X-Arg tetrapeptide appears to be implicated in metal oxide binding, whereas Arg-Arg and Arg-Lys pairs allow for discrimination between Cu(2)O and ZnO. Molecular dynamics simulations of the disulfide-constrained peptides suggest that the aforementioned motifs are important to properly orient two basic residues that are likely to contact the metal oxides. The implications of our results in understanding the rules governing the interaction between peptides and inorganic compounds and in their use for the design of hybrid nanoarchitectures are discussed.

[Study on relationship between ambient PM10, PM2.5 pollution and daily mortality in a district in Shanghai].

OBJECTIVE: Explore the adverse impact of ambient particulate matter pollution on human health. METHODS: Generalized additive model (GAM) extended poisson regression was used to examined the exposure--response relationship between ambient PM10, PM2.5 pollution and daily mortality in a district in Shanghai. Regression analyses was used for analysis with adjustment for controlling time trends, weather, season, the day of the week. RESULTS: A 10 micrograms/m3 increase in PM10, and PM2.5 were associated with 0.53% (0.22%-0.85%), 0.85% (0.32%-1.39%) increase in total daily mortality respectively. CONCLUSION: Ambient particulate pollution has potential acute adverse health effects on human.