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| 1 | Malnutrition and Quality of Life in Chinese Cancer Patients: a Clinical Study of 23,994 Subjects显示文摘Background Malnutrition is common in patients with cancer,and can negatively impact their quality of life(QoL)and even survival.However,there is currently no large data available on the prevalence of malnutrition in Chinese cancer patients.This study evaluated the prevalence of malnutrition and the QoL of Chinese patients with locoregional,recurrent or metastatic cancer.Methods We conducted a nationwide observational,multi-center,hospital-based cross-sectional study within the Chinese Society of Nutritional Oncology(CSNO)Network.All of the patients were diagnosed with one of the following 18 different types of malignant tumors:lung cancer,gastric cancer,liver cancer,colorectal cancer,breast cancer,esophageal cancer,cervical cancer,endometrial cancer,nasopharyngeal carcinoma,malignant lymphoma,leukemia,pancreatic cancer,ovarian cancer,prostate cancer,bladder cancer,brain cancer,biliary tract malignant tumors or gastrointestinal stromal tumors.These patients were enrolled from 72 hospitals located in different regions of China.The patients’nutritional status was evaluated based on the body mass index(BMI),loss of bodyweight,laboratory measurements and patient generated-subjective global assessment(PG-SGA)scores.The cancer patients’physical status and QoL were assessed by the Karnofsky Performance Status(KPS)questionnaire and the European Organization for Research and Treatment of Cancer(EORTC)QLQ-C30 questionnaire,respectively.Results From December 2013 to April 2016,23,994 patients hospitalized for cancer treatment(such as surgery,chemotherapy or radiotherapy)were enrolled in the study.The patients included 12,494(52.9%)males and 11,124(47.1%)females.The mean age was 55.8±13.7 years.The proportions of patients in cancer stagesⅠ,Ⅱ,Ⅲ,Ⅳand uncertain were 11.5%,20.3%,27.5%,30.2%and 10.5%,respectively.Among the 23,994 inpatients,the proportions of patients who were underweight(BMI<18.5 kg/m2),normal(18.5 kg/m2 | Hong Xia Xu Chun Hua Song Zhen Ming Fu Chang Wang Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Fu Xiang Zhou Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Min Weng Qing Hua Yao Jiu Wei Cui Wei Li Han Ping Shi the Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group | 2021 | Journal of Nutritional Oncology2021，6，1： | 8 |
| 2 | Validity of the Chinese Version of the Patient-Generated Subjective Global Assessment (PG-SGA) in Lung Cancer Patients显示文摘The prevalence of malnutrition is high among oncology patients in China. Although the Patient- Generated Subjective Global Assessment (PG-SGA) is widely recognized as an important nutritional assessment tool, it has not been validated for Chinese cancer patients. The purpose of this study was to conduct an analysis of nutrition screening and assessment data to validate the Chinese version of the PG-SGA in Chinese patients with lung cancer. This was an observational, cross-sectional study of 2,000 consecutive adult patients with lung cancer treated at several tertiary hospitals in China. Anthropometric and patient descriptive data were collected. The PG-SGA generated a score for the nutritional risk and a global rating for the nutritional status. The internal consistency, external consistency, and construct validity were evaluated, and a known-groups comparison and principal component analyses were conducted to evaluate the reliability and validity of the PG-SGA. The known-groups comparison demonstrated the ability of the PG-SGA to differentiate lung cancer patients of different nutritional and body mass index (BMI) groups. A confirmatory factor analysis supported the original four-factor structure of the PG-SGA. In terms of the internal and external consistency, the PG-SGA demonstrated intra-class correlation coefficients (ICC) up to 0.987. Alternative form validity was also demonstrated between Box 4 of the PG-SGA and the Karnofsky Performance Status score, with excellent external consistency (r = 0.972, P < 0.001). The construct validity was supported, and selected questionnaire dimensions were evident in the principal component analysis. Significant Spearman correlations (P < 0.001) were demonstrated. The Chinese version of the PG-SGA demonstrated significant reliability and sufficient exploratory properties to support its validity. It seems to be a valid tool that can be used to access the nutritional status of Chinese lung cancer patients. The validity of the PG-SGA in Chinese cancer patients warrants further investigation in other cancer types. | Zhen Ming Fu Hong Xia Xu Chun Hua Song Wei Li Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Chang Wang Han Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group | 2016 | Journal of Nutritional Oncology2016，1，1： | 7 |
| 3 | A draft sequence of the rice (Oryza sativa ssp. indica) genome显示文摘The sequence of the rice genome holds fundamental information for its biology, including physiology, genetics, development, and evolution, as well as information on many beneficial phenotypes of economic significance. Using a 'whole genome shotgun' approach, we have pro-duced a draft rice genome sequence of Oryza sativa ssp. in-dica, the major crop rice subspecies in China and many other regions of Asia. The draft genome sequence is constructed from over 4.3 million successful sequencing traces with an accumulative total length of 2214.9 Mb. The initial assembly of the non-redundant sequences reached 409.76 Mb in length, based on 3.30 million successful sequencing traces with a total length of 1797.4 Mb from an indica variant cultivar 93-11, giving an estimated coverage of 95.29% of the rice genome with an average base accuracy of higher than 99%. The coverage of the draft sequence, the randomness of the sequence distribution, and the consistency of BIG-ASSEM-BLER, a custom-designed software package | YU Jun, HU Songnian, WANG Jun,LI Songgang WONG Ka-Shu Gane, LIU Bin,DENG Yajun, DAI Li, ZHOU Yan,ZHANG Xiuqing, CAO Mengliang, LIU Jing,SUN Jiandong , TANG Jiabin, CHEN Yanjiong,HUANG Xiaobing, LIN Wei, YE Chen, TONG Wei,CONG Lijuan, GENG Jianing, HAN Yujun, LI Lin,LI Wei, HU Guangqiang, HUANG Xiangang,LI Wenjie, LI Jian, LIU Zhanwei, LI Long,LIU Jianping, Ql Qiuhui, LIU Jinsong, LI Li,WANG Xuegang, LU Hong, WU Tingling,ZHU Miao, Nl Peixiang, HAN Hua, DONG Wei,REN Xiaoyu, FENG Xiaoli, GUI Peng,LI Xianran, WANG Hao, XU Xin, ZHAI Wenxue,XU Zhao, ZHANG Jinsong, HE Sijie,ZHANG Jianguo, XU Jichen, ZHANG Kunlin,ZHENG Xianwu, DONG Jianhai, ZENG Wanyong,TAO Lin, CHEN Xuewei, HE Jun, LIU Daofeng,TIAN Wei, TIAN Chaoguang, XIA Hongai,LI Gang, GAO Hui, LI Ping, CHEN Wei ,WANG Xudong, ZHANG Yong, HU Jianfei,WANG Jing, LIU Song, YANG Jian,ZHANG Guangyu, XIONG Yuqing, LI Zhijie,MAO Long, ZHOU Chengshu, ZHU Zhen,CHEN Runsheng, HAO Bailin,ZHENG Weimou, CHEN Shouyi, QUO Wei,LI Guojie, LIU Siqi, HUANG Guyang,TAO Ming, WANG Jian, ZHU Lihuang,YUAN Longping& YANG HuanmingBeijing Genomics Institute/Center of Genomics & Bioinformatics, Chinese Academy of Sciences, Beijing 101300, China Hangzhou Genomics Institute/Institute of Bioinformatics of Zhejiang University/Key Laboratory of Bioinformatics of Zhejiang Province, Hangzhou 310007, China Institute of Genetics, Chinese Academy of Sciences, Beijing 100101, China National Hybrid Rice R & D Center, Changsha 410125, China Laboratory of Bioinformatics, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China College of Life Sciences, Peking University, Beijing 100871, China Institute of Theoretical Physics, Chinese Academy of Sciences, Beijing 1Q0080, China Digital China Ltd., Beijing 100080, China Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China Medical College, Xi’an Jiaotong University, Xi’an 710061, ChinaThese authors contributed equally to this work.Corresponding author.Corresponden | 2001 | Chinese Science Bulletin2001，46，23： | 6 |
| 4 | Validity of the Chinese Version of the Patient-Generated Subjective Global Assessment (PG-SGA) in Gastric Cancer Patients显示文摘Purpose Malnutrition is severe among gastric cancer patients in China. While the Patient-Generated Subjective Global Assessment (PG-SGA) is a widely used nutritional assessment tool, the validation for Chinese patients with gastric cancer has not been performed yet. The aim of this research is to validate the Chinese version of the PGSGA in Chinese gastric cancer patients by conducting analyses of nutrition screening and assessment data. Methods Two thousand consecutive adult patients with gastric cancer were included in this observational, cross-sectional study in several tertiary hospitals in China. A survey was made among those patients, which included several questionnaires and some anthropometric parameters. We calculated the parameters to validate the use of PG-SGA categorizing the nutritional status of gastric cancer patients. Then we performed statistical analysis to evaluate the internal consistency, external consistency, and construct validity. Results This study verified the ability of the PG-SGA to differentiate gastric cancer patients into different nutritional groups. The confirmatory factor analysis verified the original four-factor structure of the PG-SGA. The internal and external consistency was measured by a concordance analysis which showed an intraclass correlation coefficients (ICC) of 0.987. The correlations of the Box 4 score with the Karnofsky performance status score demonstrated alternative form validity with good external consistency (Pearson, r = 0.643, P < 0.001). All three anthropometric dimensions of the PG-SGA were supported by principal component analysis. Spearman correlations (P < 0.001) were significant in the majority of tests. Conclusion The Chinese version of the PG-SGA is a valid tool to access the patients’ nutritional status for Chinese gastric patients. | Zhen Ming Fu Hong Xia Xu Chun Hua Song Wei Li Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Chang Wang Han Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers (INSCOC) Group | 2018 | Journal of Nutritional Oncology2018，3，4： | 5 |
| 5 | Extension Protocol for the Investigation on Nutrition Status and Clinical Outcome of Patients with Common Cancers in China(INSCOC)Study:2021 update显示文摘Background Malnutrition is common in patients with cancer,and this adversely affects the survival and quality of life of patients.Chinese Society for Nutritional Oncology issued a multi-center,large-scale,long-term follow-up prospective study,the Investigation on Nutrition Status and Clinical Outcome of Patients with Common Cancers in China(INSCOC study)since 2013.This is an extension to the previous 2013-2020 study protocol.This study still sought to:①address the prognostic impact of nutritional factors and quality of life on cancer patient survival;②describe the overall and cancer-specific incidence and/or distribution of malnutrition and different measurements of patient quality of life.Methods and study design This is an observational,multi-centered,hospital-based prospective cohort study.Data collection will be performed at baseline(within 48 hours after patient admission),during the hospital stay and 30 days after hospital admission.Follow-up will be conducted for 1-20 years after enrollment.The primary outcome will be the all-cause mortality/overall survival,and secondary outcomes will be the length of hospital stay and costs of hospitalization.Study factors will include demographic characteristics,tumor characteristics,information about chronic diseases,hematological measurements(e.g.,red blood cell count,total lymphocyte counts,hemoglobin,albumin,prealbumin,creatinine,C-reactive protein,IL-6),anthropometric measurements(e.g.,height,weight,arm circumference,arm muscle circumference,triceps skinfold thickness,and waist circumference),body composition parameters,PG-SGA scores,quality of life(as indicated by the QLQ-C30 questionnaire),muscle mass(as indicated by the calf circumference),muscle strength(as indicated by the handgrip strength),muscle function(as indicated by the six-meter walking speed test)and physical status assessments(as indicated by the Karnofsky Performance Status scores).This clinical study protocol was approved by local Ethics Committees of all the participating hospitals.Written informed consent is required for each subject included.Discussion This multi-center,large-scale,long-term follow up prospective study will help improve the diagnosis of malnutrition in cancer patients and identify the risk factors associated with adverse clinical outcomes.The anticipated results of this study will highlight the need for a truly scientific appraisal of nutrition therapy in Chinese oncology populations,and finally help treat the potentially reversible elements of malnutrition in cancer patients to improve their clinical outcomes in the future. | Hong Xia Xu Chun Hua Song Liang Yu Yin Chang Wang Zhen Ming Fu Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Fu Xiang Zhou Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Zhi Kang Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Xiang Hua Wu Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Min Weng Qing Hua Yao Ya Yin Yu Quan Jun Lyu Hong Qiu Ming Liu Wei Li Han Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group | 2022 | Journal of Nutritional Oncology2022，7，2： | 3 |
| 6 | Validity of the Patient-Generated Subjective Global Assessment(PG SGA)in Colorectal Cancer Patients in China显示文摘Objective The patient-generated subjective global assessment(PG-SGA)is a nutritional assessment tool specially designed for cancer patients.This study tested the validity of the PG-SGA for the nutritional assessment of colorectal cancer(CRC)patients in China.Methods A total of 8,093 Chinese patients with any stage CRC were enrolled in this cross-sectional,observational study.Within the first 48 hours of admission,patients were evaluated using the PG-SGA,nutritional risk screening 2002(NRS 2002),Karnofsky Performance Status(KPS),and some anthropometric parameters,including the triceps skinfold thickness(TSF),mid-arm circumference(MAC),mid-arm muscle circumference(MAMC),hand grip strength(HGS),maximum left calf circumference(MLCC),and maximum right calf circumference(MRCC),among others.Spearman’s correlation test was performed to analyze item-total score correlations and correlations between the total PG-SGA score and other parameters or performance scores,further testing convergent validity.The discriminative ability of the PG-SGA was measured by comparing different characteristics between several nutritional groups.A principal component analysis was performed with selected parameters to evaluate the construct validity.Results The average total PG-SGA score of all patients was 5.69±4.46,and they had a median age of 59 years(interquartile range(IQR),51-67 years)and an average body mass index(BMI)of 22.57±3.29 kg/m^(2).The item-total correlations of the total PG-SGA score between the global PG-SGA rating(Spearman,r=0.94)and PG-SGA score(patient-generated)(Spearman,r=0.97)were strong.Significant correlations were also found between the total PG-SGA score and other nutritional screening tools,including the BMI(Spearman,r=-0.26),KPS(Spearman,r=-0.36),and NRS 2002(Spearman,r=-0.47).Well-nourished(41.2%),mildly or moderately malnourished(35.3%)and severely malnourished(23.5%)groups defined according to the PG-SGA had significantly different characteristics.Patients with a worse nutritional status tended to have a decreased BMI(well-nourished,23.32 kg/m^(2)vs.mildly or moderately malnourished,22.52 kg/m^(2)vs.severely malnourished,21.35 kg/m^(2);P<0.001),hemoglobin,body fat mass,muscle mass,protein mass,TSF,MAC,HGS,MAMC,and MLCC,and a dramatically increased C-reactive protein level.The Kaiser-Meyer-Olkin measure was>0.7,and the P value of Bartlett’s test of sphericity was<0.001.One component was extracted by the principal component analysis,and the analysis showed that the total PG-SGA score explained the total variances of 97.3%.Conclusion The PG-SGA is a valid tool for evaluating the nutritional status for Chinese CRC patients. | Rui Kang Yin Ling Li Fu Ping Chen Zhen Ming Fu Hong Xia Xu Chun Hua Song Ming Hua Cong Han Ping Shi | 2021 | Journal of Nutritional Oncology2021，6，3： | 3 |
| 7 | Inverted U-Shaped Associations between Glycemic Indices and Serum Uric Acid Levels in the General Chinese Population:Findings from the China Cardiometabolic Disease and Cancer Cohort(4C)Study显示文摘Objective The relationship between serum uric acid(SUA)levels and glycemic indices,including plasma glucose(FPG),2-hour postload glucose(2 h-PG),and glycated hemoglobin(HbA1 c),remains inconclusive.We aimed to explore the associations between glycemic indices and SUA levels in the general Chinese population.Methods The current study was a cross-sectional analysis using the first follow-up survey data from The China Cardiometabolic Disease and Cancer Cohort Study.A total of 105,922 community-dwelling adults aged≥40 years underwent the oral glucose tolerance test and uric acid assessment.The nonlinear relationships between glycemic indices and SUA levels were explored using generalized additive models.Results A total of 30,941 men and 62,361 women were eligible for the current analysis.Generalized additive models verified the inverted U-shaped association between glycemic indices and SUA levels,but with different inflection points in men and women.The thresholds for FPG,2 h-PG,and HbA1 c for men and women were 6.5/8.0 mmol/L,11.0/14.0 mmol/L,and 6.1/6.5,respectively(SUA levels increased with increasing glycemic indices before the inflection points and then eventually decreased with further increases in the glycemic indices).Conclusion An inverted U-shaped association was observed between major glycemic indices and uric acid levels in both sexes,while the inflection points were reached earlier in men than in women. | ZHU Yuan Yue ZHENG Rui Zhi WANG Gui Xia CHEN Li SHI Li Xin SU Qing XU Min XU Yu CHEN Yu Hong YU Xue Feng YAN Li WANG Tian Ge ZHAO Zhi Yun QIN Gui Jun WAN Qin CHEN Gang GAO Zheng Nan SHEN Fei Xia LUO Zuo Jie QIN Ying Fen HUO Ya Nan LI Qiang YE Zhen ZHANG Yin Fei LIU Chao WANG You Min WU Sheng Li YANG Tao DENG Hua Cong ZHAO Jia Jun CHEN Lu Lu MU Yi Ming TANG Xu Lei HU Ru Ying WANG Wei Qing NING Guang LI Mian LU Jie Li BI Yu Fang | 2021 | Biomedical and Environmental Sciences2021，34，1： | 2 |
| 8 | Safety and immunogenicity of a mosaic vaccine booster against Omicron and other SARS-CoV-2 variants:a randomized phase 2 trial显示文摘An ongoing randomized,double-blind,controlled phase 2 trial was conducted to evaluate the safety and immunogenicity of a mosaic-type recombinant vaccine candidate,named NVSI-06-09,as a booster dose in subjects aged 18 years and older from the United Arab Emirates(UAE),who had administered two or three doses of inactivated vaccine BBIBP-CorV at least 6 months prior to enrollment.The participants were randomly assigned with 1:1 to receive a booster dose of NVSI-06-09 or BBIBP-CorV.The primary outcomes were immunogenicity and safety against severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)Omicron variant,and the exploratory outcome was cross-immunogenicity against other circulating strains.Between May 25 and 30,2022,516 adults received booster vaccination with 260 in NVSI-06-09 group and 256 in BBIBP-CorV group.Interim results showed a similar safety profile between two booster groups,with low incidence of adverse reactions of grade 1 or 2.For immunogenicity,by day 14 post-booster,the fold rises in neutralizing antibody geometric mean titers(GMTs)from baseline elicited by NVSI-06-09 were remarkably higher than those by BBIBP-CorV against the prototype strain(19.67 vs 4.47-fold),Omicron BA.1.1(42.35 vs 3.78-fold),BA.2(25.09 vs 2.91-fold),BA.4(22.42 vs 2.69-fold),and BA.5 variants(27.06 vs 4.73-fold).Similarly,the neutralizing GMTs boosted by NVSI-06-09 against Beta and Delta variants were also 6.60-fold and 7.17-fold higher than those by BBIBP-CorV.Our findings indicated that a booster dose of NVSI-06-09 was well-tolerated and elicited broad-spectrum neutralizing responses against divergent SARS-CoV-2 variants,including Omicron and its sub-lineages. | Nawal Al Kaabi Yun Kai Yang Yu Liang Ke Xu Xue Feng Zhang Yun Kang Yu Qin Jin Jun Wei Hou Jing Zhang Tian Yang Salah Hussein Mohamed Saif ElDein Ze Hua Lei Hao Zhang Shuai Shao Zhao Ming Liu Ning Liu Xiang Zheng Ji Guo Su Sen Sen Yang Xiangfeng Cong Yao Tan Wenwen Lei Xue Jun Gao Zhiwei Jiang Hui Wang Meng Li Hanadi Mekki Mekki Walid Zaher Sally Mahmoud Xue Zhang Chang Qu Dan Ying Liu Jing Zhang Mengjie Yang Islam Eltantawy Peng Xiao Fu Jie Shen Jin Juan Wu Zi Bo Han Li Fang Du Fang Tang Shi Chen Zhi Jing Ma Fan Zheng Ya Nan Hou Xin Yu Li Xin Li Zhao Nian Wang Jin Liang Yin Xiao Yan Mao Jin Zhang Liang Qu Yun Tao Zhang Xiao Ming Yang Guizhen Wu Qi Ming Li | 2023 | Signal Transduction and Targeted Therapy2023，8，2： | 0 |
| 9 | Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in pediatric sepsis by integrating bioinformatics and machine learning显示文摘Background Pediatric sepsis is a complicated condition characterized by life-threatening organ failure resulting from a dysregulated host response to infection in children.It is associated with high rates of morbidity and mortality,and rapid detection and administration of antimicrobials have been emphasized.The objective of this study was to evaluate the diagnostic biomarkers of pediatric sepsis and the function of immune cell infiltration in the development of this illness.Methods Three gene expression datasets were available from the Gene Expression Omnibus collection.First,the differentially expressed genes(DEGs)were found with the use of the R program,and then gene set enrichment analysis was carried out.Subsequently,the DEGs were combined with the major module genes chosen using the weighted gene co-expression network.The hub genes were identified by the use of three machine-learning algorithms:random forest,support vector machine-recursive feature elimination,and least absolute shrinkage and selection operator.The receiver operating characteristic curve and nomogram model were used to verify the discrimination and efficacy of the hub genes.In addition,the inflammatory and immune status of pediatric sepsis was assessed using cell-type identification by estimating relative subsets of RNA transcripts(CIBERSORT).The relationship between the diagnostic markers and infiltrating immune cells was further studied.Results Overall,after overlapping key module genes and DEGs,we detected 402 overlapping genes.As pediatric sepsis diagnostic indicators,CYSTM1(AUC=0.988),MMP8(AUC=0.973),and CD177(AUC=0.986)were investigated and demonstrated statistically significant differences(P<0.05)and diagnostic efficacy in the validation set.As indicated by the immune cell infiltration analysis,multiple immune cells may be involved in the development of pediatric sepsis.Additionally,all diagnostic characteristics may correlate with immune cells to varying degrees.Conclusions The candidate hub genes(CD177,CYSTM1,and MMP8)were identified,and the nomogram was constructed for pediatric sepsis diagnosis.Our study could provide potential peripheral blood diagnostic candidate genes for pediatric sepsis patients. | Wen‑Yuan Zhang Zhong‑Hua Chen Xiao‑Xia An Hui Li Hua‑Lin Zhang Shui‑Jing Wu Yu‑Qian Guo Kai Zhang Cong‑Li Zeng Xiang‑Ming Fang | 2023 | World Journal of Pediatrics2023，19，11： | 0 |
| 10 | Feasibility and physics potential of detecting ^(8)B solar neutrinos at JUNO显示文摘The Jiangmen Underground Neutrino Observatory(JUNO)features a 20 kt multi-purpose underground liquid scintillator sphere as its main detector.Some of JUNO's features make it an excellent location for^8B solar neutrino measurements,such as its low-energy threshold,high energy resolution compared with water Cherenkov detectors,and much larger target mass compared with previous liquid scintillator detectors.In this paper,we present a comprehensive assessment of JUNO's potential for detecting^8B solar neutrinos via the neutrino-electron elastic scattering process.A reduced 2 MeV threshold for the recoil electron energy is found to be achievable,assuming that the intrinsic radioactive background^(238)U and^(232)Th in the liquid scintillator can be controlled to 10^(-17)g/g.With ten years of data acquisition,approximately 60,000 signal and 30,000 background events are expected.This large sample will enable an examination of the distortion of the recoil electron spectrum that is dominated by the neutrino flavor transformation in the dense solar matter,which will shed new light on the inconsistency between the measured electron spectra and the predictions of the standard three-flavor neutrino oscillation framework.IfDelta m^(2)_(21)=4.8times10^(-5);(7.5times10^(-5))eV^(2),JUNO can provide evidence of neutrino oscillation in the Earth at approximately the 3sigma(2sigma)level by measuring the non-zero signal rate variation with respect to the solar zenith angle.Moreover,JUNO can simultaneously measureDelta m^2_(21)using^8B solar neutrinos to a precision of 20% or better,depending on the central value,and to sub-percent precision using reactor antineutrinos.A comparison of these two measurements from the same detector will help understand the current mild inconsistency between the value of Delta m^2_(21)reported by solar neutrino experiments and the KamLAND experiment. | Angel Abusleme Thomas Adam Shakeel Ahmad Sebastiano Aiello Muhammad Akram Nawab Ali Fengpeng An Guangpeng An Qi An Giuseppe Andronico Nikolay Anfimov Vito Antonelli Tatiana Antoshkina Burin Asavapibhop João Pedro Athayde Marcondes de André Didier Auguste Andrej Babic Wander Baldini Andrea Barresi Eric Baussan Marco Bellato Antonio Bergnoli Enrico Bernieri David Biare Thilo Birkenfeld Sylvie Blin David Blum Simon Blyth Anastasia Bolshakova Mathieu Bongrand Clément Bordereau Dominique Breton Augusto Brigatti Riccardo Brugnera Riccardo Bruno Antonio Budano Max Buesken Mario Buscemi Jose Busto Ilya Butorov Anatael Cabrera Hao Cai Xiao Cai Yanke Cai Zhiyan Cai Antonio Cammi Agustin Campeny Chuanya Cao Guofu Cao Jun Cao Rossella Caruso Cédric Cerna Jinfan Chang Yun Chang Pingping Chen Po-An Chen Shaomin Chen Shenjian Chen Xurong Chen Yi-Wen Chen Yixue Chen Yu Chen Zhang Chen Jie Cheng Yaping Cheng Alexander Chepurnov Davide Chiesa Pietro Chimenti Artem Chukanov Anna Chuvashova Gérard Claverie Catia Clementi 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Hackspacher Caren Hagner Ran Han Yang Han Miao He Wei He Tobias Heinz Patrick Hellmuth Yuekun Heng Rafael Herrera Daojin Hong YuenKeung Hor Shaojing Hou Yee Hsiung Bei-Zhen Hu Hang Hu Jianrun Hu Jun Hu Shouyang Hu Tao Hu Zhuojun Hu Chunhao Huang Guihong Huang Hanxiong Huang Qinhua Huang Wenhao Huang Xingtao Huang Yongbo Huang Jiaqi Hui Wenju Huo Cédric Huss Safeer Hussain Antonio Insolia Ara Ioannisian Daniel Ioannisyan Roberto Isocrate Kuo-Lun Jen Xiaolu Ji Xingzhao Ji Huihui Jia Junji Jia Siyu Jian Di Jiang Xiaoshan Jiang Ruyi Jin Xiaoping Jing Cécile Jollet Jari Joutsenvaara Sirichok Jungthawan Leonidas Kalousis Philipp Kampmann Li Kang Michael Karagounis Narine Kazarian Amir Khan Waseem Khan Khanchai Khosonthongkee Patrick Kinz Denis Korablev Konstantin Kouzakov Alexey Krasnoperov Svetlana Krokhaleva Zinovy Krumshteyn Andre Kruth Nikolay Kutovskiy Pasi Kuusiniemi Tobias Lachenmaier Cecilia Landini Sébastien Leblanc Frederic Lefevre Liping Lei Ruiting Lei Rupert Leitner Jason Leung Demin Li Fei Li Fule Li Haitao Li Huiling Li Jiaqi Li Jin Li Kaijie Li Mengzhao Li Nan Li Nan Li Qingjiang Li Ruhui Li Shanfeng Li Shuaijie Li Tao Li Weidong Li Weiguo Li Xiaomei Li Xiaonan Li Xinglong Li Yi Li Yufeng Li Zhibing Li Ziyuan Li Hao Liang Hao Liang Jingjing Liang Jiajun Liao Daniel Liebau Ayut Limphirat Sukit Limpijumnong Guey-Lin Lin Shengxin Lin Tao Lin Jiajie Ling Ivano Lippi Fang Liu Haidong Liu Hongbang Liu Hongjuan Liu Hongtao Liu Hu Liu Hui Liu Jianglai Liu Jinchang Liu Min Liu Qian Liu Qin Liu Runxuan Liu Shuangyu Liu Shubin Liu Shulin Liu Xiaowei Liu Yan Liu Alexey Lokhov Paolo Lombardi Claudio Lombardo Kai Loo Chuan Lu Haoqi Lu Jingbin Lu Junguang Lu Shuxiang Lu Xiaoxu Lu Bayarto Lubsandorzhiev Sultim Lubsandorzhiev Livia Ludhova Fengjiao Luo Guang Luo Pengwei Luo Shu Luo Wuming Luo Vladimir Lyashuk Qiumei Ma Si Ma Xiaoyan Ma Xubo Ma Jihane Maalmi Yury Malyshkin Fabio Mantovani Francesco Manzali Xin Mao Yajun Mao Stefano MMari Filippo Marini Sadia Marium Cristina Martellini Gisele Martin-Chassard Agnese Martini Davit Mayilyan Axel Müller Ints Mednieks Yue Meng Anselmo Meregaglia Emanuela Meroni David Meyhöfer Mauro Mezzetto Jonathan Miller Lino Miramonti Salvatore Monforte Paolo Montini Michele Montuschi Nikolay Morozov Pavithra Muralidharan Massimiliano Nastasi Dmitry VNaumov Elena Naumova Igor Nemchenok Alexey Nikolaev Feipeng Ning Zhe Ning Hiroshi Nunokawa Lothar Oberauer Juan Pedro Ochoa-Ricoux Alexander Olshevskiy Domizia Orestano Fausto Ortica Hsiao-Ru Pan Alessandro Paoloni Nina Parkalian Sergio Parmeggiano Teerapat Payupol Yatian Pei Nicomede Pelliccia Anguo Peng Haiping Peng Frédéric Perrot Pierre-Alexandre Petitjean Fabrizio Petrucci Luis Felipe Piñeres Rico Oliver Pilarczyk Artyom Popov Pascal Poussot Wathan Pratumwan Ezio Previtali Fazhi Qi Ming Qi Sen Qian Xiaohui Qian Hao Qiao Zhonghua Qin Shoukang Qiu Muhammad Rajput Gioacchino Ranucci Neill Raper Alessandra Re Henning Rebber Abdel Rebii Bin Ren Jie Ren Taras Rezinko Barbara Ricci Markus Robens Mathieu Roche Narongkiat Rodphai Aldo Romani Bedřich Roskovec Christian Roth Xiangdong Ruan Xichao Ruan Saroj Rujirawat Arseniy Rybnikov Andrey Sadovsky Paolo Saggese Giuseppe Salamanna Simone Sanfilippo Anut Sangka Nuanwan Sanguansak Utane Sawangwit Julia Sawatzki Fatma Sawy Michaela Schever Jacky Schuler Cédric Schwab Konstantin Schweizer Dmitry Selivanov Alexandr Selyunin Andrea Serafini Giulio Settanta Mariangela Settimo Muhammad Shahzad Vladislav Sharov Gang Shi Jingyan Shi Yongjiu Shi Vitaly Shutov Andrey Sidorenkov FedorŠimkovic Chiara Sirignano Jaruchit Siripak Monica Sisti Maciej Slupecki Mikhail Smirnov Oleg Smirnov Thiago Sogo-Bezerra Julanan Songwadhana Boonrucksar Soonthornthum Albert Sotnikov Ondrej Sramek Warintorn Sreethawong Achim Stahl Luca Stanco Konstantin Stankevich DušanŠtefánik Hans Steiger Jochen Steinmann Tobias Sterr Matthias Raphael Stock Virginia Strati Alexander Studenikin Gongxing Sun Shifeng Sun Xilei Sun Yongjie Sun Yongzhao Sun Narumon Suwonjandee Michal Szelezniak Jian Tang Qiang Tang Quan Tang Xiao Tang Alexander Tietzsch Igor Tkachev Tomas Tmej Konstantin Treskov Andrea Triossi Giancarlo Troni Wladyslaw Trzaska Cristina Tuve Stefan van Waasen Johannes van den Boom Guillaume Vanroyen Nikolaos Vassilopoulos Vadim Vedin Giuseppe Verde Maxim Vialkov Benoit Viaud Cristina Volpe Vit Vorobel Lucia Votano Pablo Walker Caishen Wang Chung-Hsiang Wang En Wang Guoli Wang Jian Wang Jun Wang Kunyu Wang Lu Wang Meifen Wang Meng Wang Ruiguang Wang Siguang Wang Wei Wang Wenshuai Wang Xi Wang Xiangyue Wang Yangfu Wang Yaoguang Wang Yi Wang Yifang Wang Yuanqing Wang Yuman Wang Zhe Wang Zheng Wang Zhimin Wang Zongyi Wang Apimook Watcharangkool Lianghong Wei Wei Wei Yadong Wei Liangjian Wen Christopher Wiebusch Steven Chan-Fai Wong Bjoern Wonsak Diru Wu Fangliang Wu Qun Wu Wenjie Wu Zhi Wu Michael Wurm Jacques Wurtz Christian Wysotzki Yufei Xi Dongmei Xia Yuguang Xie Zhangquan Xie Zhizhong Xing Benda Xu Donglian Xu Fanrong Xu Jilei Xu Jing Xu Meihang Xu Yin Xu Yu Xu Baojun Yan Xiongbo Yan Yupeng Yan Anbo Yang Changgen Yang Huan Yang Jie Yang Lei Yang Xiaoyu Yang Yifan Yang Haifeng Yao Zafar Yasin Jiaxuan Ye Mei Ye Ugur Yegin Frédéric Yermia Peihuai Yi Xiangwei Yin Zhengyun You Boxiang Yu Chiye Yu Chunxu Yu Hongzhao Yu Miao Yu Xianghui Yu Zeyuan Yu Chengzhuo Yuan Ying Yuan Zhenxiong Yuan Ziyi Yuan Baobiao Yue Noman Zafar Andre Zambanini Pan Zeng Shan Zeng Tingxuan Zeng Yuda Zeng Liang Zhan Feiyang Zhang Guoqing Zhang Haiqiong Zhang Honghao Zhang Jiawen Zhang Jie Zhang Jingbo Zhang Peng Zhang Qingmin Zhang Shiqi Zhang Tao Zhang Xiaomei Zhang Xuantong Zhang Yan Zhang Yinhong Zhang Yiyu Zhang Yongpeng Zhang Yuanyuan Zhang Yumei Zhang Zhenyu Zhang Zhijian Zhang Fengyi Zhao Jie Zhao Rong Zhao Shujun Zhao Tianchi Zhao Dongqin Zheng Hua Zheng Minshan Zheng Yangheng Zheng Weirong Zhong Jing Zhou Li Zhou Nan Zhou Shun Zhou Xiang Zhou Jiang Zhu Kejun Zhu Honglin Zhuang Liang Zong Jiaheng Zou | 2021 | Chinese Physics C2021，45，2： | 0 |
| 11 | Advances in nuclear detection and readout techniques显示文摘“A Craftsman Must Sharpen His Tools to Do His Job,”said Confucius.Nuclear detection and readout techniques are the foundation of particle physics,nuclear physics,and particle astrophysics to reveal the nature of the universe.Also,they are being increasingly used in other disciplines like nuclear power generation,life sciences,environmental sciences,medical sciences,etc.The article reviews the short history,recent development,and trend of nuclear detection and readout techniques,covering Semiconductor Detector,Gaseous Detector,Scintillation Detector,Cherenkov Detector,Transition Radiation Detector,and Readout Techniques.By explaining the principle and using examples,we hope to help the interested reader underst and this research field and bring exciting information to the community. | Rui He Xiao‑Yang Niu Yi Wang Hong‑Wei Liang Hong‑Bang Liu Ye Tian Hong‑Lin Zhang Chao‑Jie Zou Zhi‑Yi Liu Yun‑Long Zhang Hai‑Bo Yang Ju Huang Hong‑Kai Wang Wei‑Jia Han Bei Cao Gang Chen Cong Dai Li‑Min Duan Rui‑Rui Fan Fang‑Fa Fu Jian‑Hua Guo Dong Han Wei Jiang Xian‑Qin Li Xin Li Zhuo‑Dai Li Yu‑Tie Liang Shun Liao De‑Xu Lin Cheng‑Ming Liu Guo‑Rui Liu Jun‑Tao Liu Ze Long Meng‑Chen Niu Hao Qiu Hu Ran Xiang‑Ming Sun Bo‑Tan Wang Jia Wang Jin‑Xiang Wang Qi‑Lin Wang Yong‑Sheng Wang Xiao‑Chuan Xia Hao‑Qing Xie He‑Run Yang Hong Yin Hong Yuan Chun‑Hui Zhang Rui‑Guang Zhao Ran Zheng Cheng‑Xin Zhao | 2023 | Nuclear Science and Techniques2023，34，12： | 0 |
| 12 | Exercise for Cancer Therapy显示文摘The number of new cancer cases in China is increasing rapidly,and China now ranks first in the world for the number of cancer patients.Traditional oncology treatment is based on surgery,radiotherapy and chemotherapy,but all three treatments are often accompanied by a poor quality of life,impaired physical function,and significant anxiety and depression.Exercise therapy can provide both prognostic improvement and a better quality of life for cancer patients,and can be adapted to serve patients at all stages from perioperative recovery to hospice.Although the impact of exercise alone is difficult to assess given the influence of lifestyle and other factors,data suggest that consistent exercise can improve the prognosis of cancer patients.Exercise enhances cardiopulmonary function,induces protein synthesis,improves physiological performance and increases physiological reserves;it also helps to improve the metabolic and immune functions,creating an anti-cancer environment in the body.An appropriate exercise plan can reduce adverse effects associated with cancer treatment,improve patients'physiological function,reduce fatigue and improve quality of life.Of note,exercise may also reduce the risk of cancer recurrence and metastasis.In recent years,exercise oncology has received increasing attention,thus,this article reviews the progress made in the clinical application of exercise therapy in oncology patients. | Feng Min Zhang Zhen Yu Han Ping Shi Ming Hua Cong Hong Xia Xu Cheng Le Zhuang | 2022 | Journal of Nutritional Oncology2022，7，2： | 0 |
| 13 | Low Glucose Enhances the Sensitivity of Pancreatic Cancer Cells to Metformin显示文摘Objective To determine the impact of different glucose levels on the anti-tumor effects of metformin,and to explore the mechanism underlying these effects.Methods Human pancreatic cancer cells(Panc-1,sw1990,AsPC-1,BxPC-3)cultured in media with different glucose levels were treated with metformin for 24 hours.Then,the cell proliferation and ATP levels were examined.A subcutaneous Panc-1 xenograft tumor model was established in nude mice.Tumor-bearing mice were randomly divided into four groups:a standard diet(SD)group,SD+metformin(Met)group,ketogenic diet(KD)group and KD+Met group.After 8 weeks of experimental intervention,the tumor volume and weight and blood glucose level were detected in each mouse.Results Metformin did not inhibit the proliferation of pancreatic cancer cells when the glucose level was above 10 mmol/L,but 10 mmol/L metformin significantly inhibited the proliferation of pancreatic cancer cells in low glucose medium(≤5mmol/L).The ATP level of each cell type in the low glucose medium was significantly decreased(P<0.01).In vivo,the blood glucose level was significantly decreased in the KD group(P<0.01),and KD significantly inhibited tumor growth(P<0.01).Compared with the KD group,the KD+Met group showed more potent inhibition of xenograft tumor growth(P<0.05).Conclusions Low glucose enhances the sensitivity of cancer cells to metformin,and metformin exerts anti-tumor effects at least partly by reducing the body’s ATP production. | Jie Zhang Ming Hua Cong Zhe Wen Chen Yun Gao Wei Nan Yu Ming Yong Miao Han Ping Shi | 2017 | Journal of Nutritional Oncology2017，2，4： | 0 |
| 14 | Air Traffic Operation Complexity Analysis Based on Metrics System显示文摘In order to quantitatively analyze air traffic operation complexity,multidimensional metrics were selected based on the operational characteristics of traffic flow.The kernel principal component analysis method was utilized to reduce the dimensionality of metrics,therefore to extract crucial information in the metrics.The hierarchical clustering method was used to analyze the complexity of different airspace.Fourteen sectors of Guangzhou Area Control Center were taken as samples.The operation complexity of traffic situation in each sector was calculated based on real flight radar data.Clustering analysis verified the feasibility and rationality of the method,and provided a reference for airspace operation and management. | Xie Hua Cong Wei Hu Ming hua Liu Sifeng | 2016 | Transactions of Nanjing University of Aeronautics and Astronautics2016，33，4： | 0 |
| 15 | Nutritional Assessment of Gynecological Cancer Patients in China显示文摘Background Malnutrition is common among cancer patients,but few studies have evaluated the nutritional status among gynecological cancer patients in China.This study aimed to assess the nutritional status of women with gynecological cancer using the patient-generated subjective global assessment(PG-SGA).Methods Data for gynecological cancer patients treated at 44 tertiary hospitals were retrieved from a multicenter study on tumor nutrition.The R Software was used for statistical analyses.Univariate analyses of PG-SGA scores were performed using the Chi-squared test for categorical variables and the Wilcoxon-rank sum test or Kruskal-Wallis test for continuous variables,as appropriate.The significance level was 0.05.Results Data for 1962 women with three types of gynecological cancer(cervical,uterine and ovarian cancer)were used for the data analysis.The median PG-SGA score was 4(interquartile range,IQR:1,8),the median participants’age was 51(IQR:46,59)years old,and the patients had a median BMI of 22.9(IQR:20.7,25.4).The percentages of women who had a medical co-morbidity,or had undergone any radical resection,chemotherapy,or radiotherapy were approximately 27.7%,55.4%,52.5%,and 30.2%,respectively.The levels of serum albumin and high density lipoprotein cholesterol(HDL-C)were 40.1g/L(IQR:36.8,43.1)and 1.2mmol/L(IQR:1.0,1.5),respectively.The identified risk factors for malnutrition based on the PG-SGA score were age(0.05±0.01,p=0.002),BMI(-0.34±0.04,p<0.001),having a medical co-morbidity(0.95±0.33,p=0.004),receiving radiotherapy(1.52±0.31,p<0.001),the serum albumin level(-0.18±0.03,p<0.001),and the HDL-C(-1.12±0.35,p=0.001)as indicated by a linear regression analysis.Conclusions A higher PG-SGA score is positively associated with the age of the patient,having a medical co-morbidity,and receiving radiotherapy,and is negatively related to the patients’BMI and serum albumin and HDL-C levels. | Wen Ying Li Guo Lan Gao Chun Hua Song Chang Wang Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Fu Xiang Zhou Cong Hua Xie Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Ming Hua Cong Jian Xiong Wu Chun Ling Zhou Wei Wang Qi Luo ong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Zhen Ming Fu Hong Xia Xu Wei Li Han Ping Shi Investigation on nutrition status and its clinical outcome of common cancers (INSCOC) group | 2017 | Journal of Nutritional Oncology2017，2，3： | 0 |
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