Objective This study was designed to evaluate the prevalence of thyroid nodules（TNs） and its relationship with urine iodine concentrations（UICs） after the regional rapid economic growth and lifestyle changes. Meth...Objective This study was designed to evaluate the prevalence of thyroid nodules（TNs） and its relationship with urine iodine concentrations（UICs） after the regional rapid economic growth and lifestyle changes. Methods A cross-sectional survey was conducted in the general population aged 15-69 years. A questionnaire regarding general and personal characteristics and relevant information was administered. Ultrasonography of the thyroid was performed, and serum triiodothyronine（T3）, tetraiodothyronine（T4）, serum thyroid stimulating hormone（TSH）, free triiodothyronine（FT3）, free tetraiodothyronine（FT4）, thyroglobulin antibody（Tg Ab）, thyroid peroxidase antibody（TPOAb）, and TSH receptor antibody（TRAb） levels were measured for each individual subject. Results The prevalence rates of TNs in the whole population, females and males were 27.76%, 34.04%, and 21.60%, respectively. The prevalence of multiple nodules increased with age, whereas the prevalence peaks differed between males and females. The median UICs in the whole population and females with non-TNs were higher than those of subjects with TNs（P=0.0035, P=0.0068）. The median UICs in subjects with a single TN were higher than those in subjects with multiple TNs（P=0.0164, P=0.0127）. The result showed a U-shaped curve relationship between UIC and prevalence of TNs. The prevalence of TNs was the lowest when the UIC was 140-400 μg/L. Conclusion The prevalence of TNs was nearly 30% and increased with age. The relationship between UIC and prevalence of TNs is U-shaped, with an increase in risk when the UIC was 〈140 μg/L and 〉400 μg/L. Very low or high UIC levels need attention and correction.展开更多
Background:After the scale-up of antiretroviral therapy(ART)for HIV infected people,increasing numbers of patients have pretreatment drug resistance(PDR).In this study,the prevalence of PDR was evaluated in adults ini...Background:After the scale-up of antiretroviral therapy(ART)for HIV infected people,increasing numbers of patients have pretreatment drug resistance(PDR).In this study,the prevalence of PDR was evaluated in adults initiating antiretroviral therapy in China.Methods:Blood samples were obtained from 1943 patients who initiated antiretroviral therapy(ART)in 2017 from 13 provinces or cities in China.Pol sequences were used to analyze drug resistance and construct transmission networks.Logistic regression model was used to estimate the potential factors associated with PDR.Results:In total,1711 eligible patients(76.0%male;87.8%aged≥25 years)were included,of which 117(6.8%)had PDR.The highest rates of PDR were 12.2%in Liangshan Prefecture of Sichuan and 9.3 and 8.9%in Dehong and Lincang Prefecture of Yunnan.A multivariate logistic regression analysis revealed that PDR was significantly higher among intravenous drug users(adjusted Odds Ratio(aOR)=2.64,95%CI:1.57–4.44)and individuals from Liangshan,Dehong,and Lincang(aOR=2.04,95%CI:1.26–3.30).In total,754 sequences were used to generate 164 transmission networks.Five transmission networks had two or three sequences containing the same mutations,two networks contained subjects from Liangshan,and one network contained subjects from Dehong.Conclusions:Overall,the PDR prevalence was moderate,with a particularly high prevalence in areas with severe HIV epidemics.These results indicate the importance of continuous PDR monitoring in patients initiating antiretroviral therapy.展开更多
Background:The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions.In China,breast masses are divided into four categories according to the treatment m...Background:The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions.In China,breast masses are divided into four categories according to the treatment method:inflammatory masses,adenosis,benign tumors,and malignant tumors.These categorizations are important for guiding clinical treatment.In this study,we aimed to develop a convolutional neural network(CNN)for classification of these four breast mass types using ultrasound(US)images.Methods:Taking breast biopsy or pathological examinations as the reference standard,CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers.The patients were randomly divided into training and test groups(n=1810 vs.n=1813).Separate models were created for two-dimensional(2D)images only,2D and color Doppler flow imaging(2D-CDFI),and 2D-CDFI and pulsed wave Doppler(2D-CDFI-PW)images.The performance of these three models was compared using sensitivity,specificity,area under receiver operating characteristic curve(AUC),positive(PPV)and negative predictive values(NPV),positive(LR+)and negative likelihood ratios(LR-),and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators,between images from different hospitals with AUC,and with the performance of 37 radiologists.Results:The accuracies of the 2D,2D-CDFI,and 2D-CDFI-PW models on the test set were 87.9%,89.2%,and 88.7%,respectively.The AUCs for classification of benign tumors,malignant tumors,inflammatory masses,and adenosis were 0.90,0.91,0.90,and 0.89,respectively(95%confidence intervals[CIs],0.87-0.91,0.89-0.92,0.87-0.91,and 0.86-0.90).The 2D-CDFI model showed better accuracy(89.2%)on the test set than the 2D(87.9%)and 2D-CDFI-PW(88.7%)models.The 2D model showed accuracy of 81.7%on breast masses≤1 cm and 82.3%on breast masses>1 cm;there was a significant difference between the two groups(P<0.001).The accuracy of the CNN classifications for the test s展开更多
Introduction:The efficacy of treatment and clinical outcomes may be jeopardized by factors such as transmitted drug resistance(TDR)and the genetic diversity of the human immunodeficiency virus type 1(HIV-1).This compr...Introduction:The efficacy of treatment and clinical outcomes may be jeopardized by factors such as transmitted drug resistance(TDR)and the genetic diversity of the human immunodeficiency virus type 1(HIV-1).This comprehensive study aims to examine the alterations in HIV-1 subtypes or sub-subtypes and TDR among Chinese individuals,who have been diagnosed with HIV infection and are previously untreated with antiretroviral therapy(ART),across the span of 2004 to 2022.Methods:Sequences of the HIV-1 pol gene region were obtained from ART-naïve HIV-positive individuals across 31 provincial-level administrative divisions between 2004 and 2022.To predict susceptibility to 12 antiretroviral drugs,the research utilized the Stanford HIV Drug Resistance Database.The Cochran-Armitage trend test facilitated the analysis of changes in HIV-1 subtype/sub-subtype prevalence and TDR.This analysis was conducted in alignment with the progression of the National Free Antiretroviral Treatment Program’s stages between 2004 and 2022.Results:Among the 57,902 ART-naïve individuals infected with HIV,there was a notable decline in the prevalence of CRF01_AE,B,and C from 37.3%,24.1%,and 1.3%respectively in 2004–2007 to 29.4%,7.3%,and 0.2%respectively in 2020–2022.Simultaneously,a significant increase was observed in the proportions of CRF07_BC,CRF08_BC,CRF55_01B,other CRFs,and URFs,from 24.1%,11.5%,0.1%,0.4%,and 0.9%respectively in 2004–2007 to 40.8%,11.5%,3.8%,3.7%,and 2.8%respectively in 2020–2022(all P<0.001 for trend).The prevalence of TDR to overall,non-nucleoside reverse transcriptase inhibitor(NNRTI),efavirenz,and nevirapine also significantly increased from 2.6%,1.8%,1.6%,and 1.8%respectively in 2004–2007 to 7.8%,6.7%,6.3%,and 6.7%respectively in 2020–2022(all P<0.001 for trend).However,there were no meaningful changes in the TDR prevalence of nucleoside reverse transcriptase inhibitor and protease inhibitor.Notably,in 2020–2022,the overall TDR prevalence exceeded 15%in Xinjiang.Conclusions:The total prevalence of TD展开更多
The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 3...The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s.展开更多
Fermentation of Phaffia rhodozyma is a major method for producing astaxanthin, an important pigment with industrial and pharmaceutical application. To improve astaxanthin productivity, single factor and mixture design...Fermentation of Phaffia rhodozyma is a major method for producing astaxanthin, an important pigment with industrial and pharmaceutical application. To improve astaxanthin productivity, single factor and mixture design experiments were used to investigate the effects of nitrogen source on Phaffia rhodozyma cultivation and astaxanthin production. Results of single factor experiments showed nitrogen source could significantly affect P. rhodozyma cultivation with respect to carbon source utilization, yeast growth and astaxanthin accumulation. Further studies of mixture design experiments using (NH4)2SO4, KNO3 and beef extract as nitrogen sources indicated that the proportion of three nitrogen sources was very important to astaxanthin production. Validation experiments showed that the optimal nitrogen source was composed of 0.28 g/L (NH4)2SO4, 0.49 g/L KNO3 and 1.19 g/L beef extract. The kinetic characteristics of batch cultivation were investigated in a 5-L pH-stat fermentor. The maximum amount of biomass and highest astaxanthin yield in terms of volume and in terms of biomass were 7.71 mg/L and 1.00 mg/g, respectively.展开更多
基金supported by Shanghai Municipal health Bureau(number 20134332)the research grants of the Shanghai Municipal Bureau of Health(number 20134053)+3 种基金Health Fields Specific Research Grant(201202012)the Major Project of Shanghai Municipal Science and Technology Commission(11DJ1400202)the four grants from Key Discipline of Shanghai Public Health-Food and Nutrition Sciences(12GWZX0702)Shanghai Rising-Star Program(15YF1411100)
文摘Objective This study was designed to evaluate the prevalence of thyroid nodules（TNs） and its relationship with urine iodine concentrations（UICs） after the regional rapid economic growth and lifestyle changes. Methods A cross-sectional survey was conducted in the general population aged 15-69 years. A questionnaire regarding general and personal characteristics and relevant information was administered. Ultrasonography of the thyroid was performed, and serum triiodothyronine（T3）, tetraiodothyronine（T4）, serum thyroid stimulating hormone（TSH）, free triiodothyronine（FT3）, free tetraiodothyronine（FT4）, thyroglobulin antibody（Tg Ab）, thyroid peroxidase antibody（TPOAb）, and TSH receptor antibody（TRAb） levels were measured for each individual subject. Results The prevalence rates of TNs in the whole population, females and males were 27.76%, 34.04%, and 21.60%, respectively. The prevalence of multiple nodules increased with age, whereas the prevalence peaks differed between males and females. The median UICs in the whole population and females with non-TNs were higher than those of subjects with TNs（P=0.0035, P=0.0068）. The median UICs in subjects with a single TN were higher than those in subjects with multiple TNs（P=0.0164, P=0.0127）. The result showed a U-shaped curve relationship between UIC and prevalence of TNs. The prevalence of TNs was the lowest when the UIC was 140-400 μg/L. Conclusion The prevalence of TNs was nearly 30% and increased with age. The relationship between UIC and prevalence of TNs is U-shaped, with an increase in risk when the UIC was 〈140 μg/L and 〉400 μg/L. Very low or high UIC levels need attention and correction.
基金This study was supported by the National Natural Science Foundation of China(11471336)Ministry of Science and Technology of China(2017ZX10201101)+1 种基金Guangxi Science and Technology Bureau(AB16380213)Guangxi Bagui Honor Scholarship,and Chinese State Key Laboratory of Infectious Disease Prevention and Control.
文摘Background:After the scale-up of antiretroviral therapy(ART)for HIV infected people,increasing numbers of patients have pretreatment drug resistance(PDR).In this study,the prevalence of PDR was evaluated in adults initiating antiretroviral therapy in China.Methods:Blood samples were obtained from 1943 patients who initiated antiretroviral therapy(ART)in 2017 from 13 provinces or cities in China.Pol sequences were used to analyze drug resistance and construct transmission networks.Logistic regression model was used to estimate the potential factors associated with PDR.Results:In total,1711 eligible patients(76.0%male;87.8%aged≥25 years)were included,of which 117(6.8%)had PDR.The highest rates of PDR were 12.2%in Liangshan Prefecture of Sichuan and 9.3 and 8.9%in Dehong and Lincang Prefecture of Yunnan.A multivariate logistic regression analysis revealed that PDR was significantly higher among intravenous drug users(adjusted Odds Ratio(aOR)=2.64,95%CI:1.57–4.44)and individuals from Liangshan,Dehong,and Lincang(aOR=2.04,95%CI:1.26–3.30).In total,754 sequences were used to generate 164 transmission networks.Five transmission networks had two or three sequences containing the same mutations,two networks contained subjects from Liangshan,and one network contained subjects from Dehong.Conclusions:Overall,the PDR prevalence was moderate,with a particularly high prevalence in areas with severe HIV epidemics.These results indicate the importance of continuous PDR monitoring in patients initiating antiretroviral therapy.
基金This study was supported by the grants from the National Key Research and Development Program of China(No.2016YFC0104801)National Natural Science Foundation of China(No.81730050)。
文摘Background:The current deep learning diagnosis of breast masses is mainly reflected by the diagnosis of benign and malignant lesions.In China,breast masses are divided into four categories according to the treatment method:inflammatory masses,adenosis,benign tumors,and malignant tumors.These categorizations are important for guiding clinical treatment.In this study,we aimed to develop a convolutional neural network(CNN)for classification of these four breast mass types using ultrasound(US)images.Methods:Taking breast biopsy or pathological examinations as the reference standard,CNNs were used to establish models for the four-way classification of 3623 breast cancer patients from 13 centers.The patients were randomly divided into training and test groups(n=1810 vs.n=1813).Separate models were created for two-dimensional(2D)images only,2D and color Doppler flow imaging(2D-CDFI),and 2D-CDFI and pulsed wave Doppler(2D-CDFI-PW)images.The performance of these three models was compared using sensitivity,specificity,area under receiver operating characteristic curve(AUC),positive(PPV)and negative predictive values(NPV),positive(LR+)and negative likelihood ratios(LR-),and the performance of the 2D model was further compared between masses of different sizes with above statistical indicators,between images from different hospitals with AUC,and with the performance of 37 radiologists.Results:The accuracies of the 2D,2D-CDFI,and 2D-CDFI-PW models on the test set were 87.9%,89.2%,and 88.7%,respectively.The AUCs for classification of benign tumors,malignant tumors,inflammatory masses,and adenosis were 0.90,0.91,0.90,and 0.89,respectively(95%confidence intervals[CIs],0.87-0.91,0.89-0.92,0.87-0.91,and 0.86-0.90).The 2D-CDFI model showed better accuracy(89.2%)on the test set than the 2D(87.9%)and 2D-CDFI-PW(88.7%)models.The 2D model showed accuracy of 81.7%on breast masses≤1 cm and 82.3%on breast masses>1 cm;there was a significant difference between the two groups(P<0.001).The accuracy of the CNN classifications for the test s
基金Supported by the Ministry of Science and Technology of China(grant numbers 2022YFC2305205,2022YFC2305201)the National Natural Science Foundation of China(grant number 82260670)+1 种基金Guangxi Bagui Honor Scholarshipand Chinese State Key Laboratory of Infectious Disease Prevention and Control.
文摘Introduction:The efficacy of treatment and clinical outcomes may be jeopardized by factors such as transmitted drug resistance(TDR)and the genetic diversity of the human immunodeficiency virus type 1(HIV-1).This comprehensive study aims to examine the alterations in HIV-1 subtypes or sub-subtypes and TDR among Chinese individuals,who have been diagnosed with HIV infection and are previously untreated with antiretroviral therapy(ART),across the span of 2004 to 2022.Methods:Sequences of the HIV-1 pol gene region were obtained from ART-naïve HIV-positive individuals across 31 provincial-level administrative divisions between 2004 and 2022.To predict susceptibility to 12 antiretroviral drugs,the research utilized the Stanford HIV Drug Resistance Database.The Cochran-Armitage trend test facilitated the analysis of changes in HIV-1 subtype/sub-subtype prevalence and TDR.This analysis was conducted in alignment with the progression of the National Free Antiretroviral Treatment Program’s stages between 2004 and 2022.Results:Among the 57,902 ART-naïve individuals infected with HIV,there was a notable decline in the prevalence of CRF01_AE,B,and C from 37.3%,24.1%,and 1.3%respectively in 2004–2007 to 29.4%,7.3%,and 0.2%respectively in 2020–2022.Simultaneously,a significant increase was observed in the proportions of CRF07_BC,CRF08_BC,CRF55_01B,other CRFs,and URFs,from 24.1%,11.5%,0.1%,0.4%,and 0.9%respectively in 2004–2007 to 40.8%,11.5%,3.8%,3.7%,and 2.8%respectively in 2020–2022(all P<0.001 for trend).The prevalence of TDR to overall,non-nucleoside reverse transcriptase inhibitor(NNRTI),efavirenz,and nevirapine also significantly increased from 2.6%,1.8%,1.6%,and 1.8%respectively in 2004–2007 to 7.8%,6.7%,6.3%,and 6.7%respectively in 2020–2022(all P<0.001 for trend).However,there were no meaningful changes in the TDR prevalence of nucleoside reverse transcriptase inhibitor and protease inhibitor.Notably,in 2020–2022,the overall TDR prevalence exceeded 15%in Xinjiang.Conclusions:The total prevalence of TD
基金support from diverse funding sources,including the National Key Program for S&T Research and Development of the Ministry of Science and Technology(MOST),Yifang Wang's Science Studio of the Ten Thousand Talents Project,the CAS Key Foreign Cooperation Grant,the National Natural Science Foundation of China(NSFC)Beijing Municipal Science&Technology Commission,the CAS Focused Science Grant,the IHEP Innovation Grant,the CAS Lead Special Training Programthe CAS Center for Excellence in Particle Physics,the CAS International Partnership Program,and the CAS/SAFEA International Partnership Program for Creative Research Teams.
文摘The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international partners.The complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs factory.In its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs bosons.Increasing the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of magnitude.This Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering aspects.Additionally,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection procedures.Construction is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 years.The commencement of experiments and data collection could potentially be initiated in the mid-2030s.
基金Project supported by the National Natural Science Foundation of China (No.30571450)the Foundation for Young Professors of Jimei University of Xiamen,China
文摘Fermentation of Phaffia rhodozyma is a major method for producing astaxanthin, an important pigment with industrial and pharmaceutical application. To improve astaxanthin productivity, single factor and mixture design experiments were used to investigate the effects of nitrogen source on Phaffia rhodozyma cultivation and astaxanthin production. Results of single factor experiments showed nitrogen source could significantly affect P. rhodozyma cultivation with respect to carbon source utilization, yeast growth and astaxanthin accumulation. Further studies of mixture design experiments using (NH4)2SO4, KNO3 and beef extract as nitrogen sources indicated that the proportion of three nitrogen sources was very important to astaxanthin production. Validation experiments showed that the optimal nitrogen source was composed of 0.28 g/L (NH4)2SO4, 0.49 g/L KNO3 and 1.19 g/L beef extract. The kinetic characteristics of batch cultivation were investigated in a 5-L pH-stat fermentor. The maximum amount of biomass and highest astaxanthin yield in terms of volume and in terms of biomass were 7.71 mg/L and 1.00 mg/g, respectively.
