1.Analysis of Contents and Distribution Patterns of Rare Earth Elements in Surface Sediments of the South Mid_Atlantic Ridge
Jingxi LI ; Zhiwei ZHU ; Xiaofei YIN ; Bin HAN ; Li ZHENG ; Jiangtao WANG ; Xiaoru WANG
Chinese Journal of Analytical Chemistry 2015;(1):21-26
A microwave digestion system was preparation for the digestion of the sediment samples of 16 stations in the Southe mid_Atlantic ridge by using HNO3_H2 O2_HF as the digestion reagent. The rare earth elements ( RE ) in sediments were determined by inductively coupled plasma mass spectrometry, and distribution characteristics of rare earth elements were studied. The microwave digestion_ICP_MS method was used for the determination of rare earth elements with a good linear relationship ( r=0 . 9997-1 . 0000 ) for each element. The detection limit reached ng/L level, the relative standard deviation ( RSD, n=3 ) was less than 3% and the relative error was 6%. The total amount of rare earth elements (ΣRE) in sediment samples from 16 stations varied in the range of 37. 25-134. 77 μg/g, the ratio range of light RE/heavy RE ( LRE/HRE) was 0 . 61-1 . 70 , the average value was 1 . 27 , and the enrichment of light rare earth elements in sediments was slightly obvious. The RE distribution patterns were basically the same in each station with obvious fractionation between LRE and HRE. The RE distribution patterns were also similar in sediments from different sources with slightly difference between terrestrial and marine sediments. The δEu and δCe in the sediments had negative anomaly which showed that the rare earth elements in sediments came from the seawater. This study first analyzed the content and distribution of rare earth elements in the southern Atlantic, providing data and technical support for further study of the distribution of rare earth elements in the Atlantic.
2.The construction and identification of Fas-targeting siRNA-expressing plasmid
Suhu LIU ; Wanggang ZHANG ; Mei ZHANG ; Qing ZHU ; Wei TIAN ; Jingxi SUN
Journal of Xi'an Jiaotong University(Medical Sciences) 1981;0(02):-
Objective To construct Fas-targeting siRNA-expressing plasmid, and explore the significance of Fas inhibition in the treatment of acute aplastic anemia. Methods U6 promoter cassette and siFas sequence were obtained by PCR method, and cloned into modified pcDNA3.1 to produce plasmid pU6-siFas, which was transfected into P815 cells with limpofectin 2000, and then Fas expression was detected by immunohistochemistry. Results The plasmid pU6-siFas could efficiently reduce the expression of Fas and confer G-418 resistance in P815 cells. Conclusion The successful construction of the siRNA expressing plasmid will facilitate the application of RNA interference technique, and lay foundation for further studies of the therapeutic effect of Fas inhibition on acute aplastic anemia.
3.Mutation spectrum and phenotype analysis of hemoglobin subunit delta gene among prenatal population in Xiangtan City
Wei YIN ; Chenhui LI ; Yalong WANG ; Jingxi HUANG ; Li YANG ; Dandan MAN ; Xiaoyan ZHU ; Kaiyun YANG
Chinese Journal of Endemiology 2024;43(7):536-541
Objective:To analyze the mutation spectrum and hematological phenotype of hemoglobin subunit delta(HBD) gene among prenatal population in Xiangtan City, and to provide scientific basis for screening and diagnosis of rare and complex hemoglobinopathia.Methods:Prenatal population underwent screening and genetic testing for thalassemia at Xiangtan Maternal and Child Health Hospital from October 2022 to December 2023 were selected as the study subjects, combined with capillary electrophoresis results, further HBD gene sequencing was performed to identify specific genotypes.Results:A total of 5 371 subjects were enrolled, 22 cases of HBD gene mutations were detected, with a mutation carrier rate of 0.41% (22/5 371). Among them, 14 cases were diagnosed with δ thalassemia, 7 cases were δ abnormal hemoglobin, and 1 case was δ thalassemia combined with δ abnormal hemoglobin. There were 7 HBD mutant genotypes were included, with -77(T>C) being the most common, followed by hemoglobin (Hb) A 2-Huadu and CD34(+GGT); accounting for 68.2% (15/22), 9.1% (2/22), 9.1% (2/22). CD34(+GGT) was a newly discovered genotype, and CD7(GAG>TAG) was the first reported genotype in Chinese population. The Hb content, mean corpuscular volume, and mean corpuscular hemoglobin content were normal or nearly normal in 22 carriers of the HBD gene mutation; capillary electrophoresis demonstrated reduced Hb A 2 content in all cases. Conclusions:HBD gene mutations have been detected in the prenatal population in Xiangtan City, with -77(T>C) being the most common mutation genotype. None of the mutation carriers showed anemia.
4.Two-year follow-up study of white matter structures in 2-3 years old children with autism spectrum disorder
Kangkang CHU ; Jingxi ZHU ; Ting XIAO ; Xiang XIAO ; Yun LI ; Qiaorong WU ; Hui FANG ; Chaoyong XIAO ; Jiuping ZHANG ; Bing ZOU ; Yingying QU ; Xiaoyan KE
Chinese Journal of Applied Clinical Pediatrics 2018;33(24):1845-1850
Objective To explore the developmental characteristics of white matter volume in autism spectrum disorder (ASD) children longitudinal.Methods From May 2011 to September 2014,37 ASD children (ASD group)and 27 developmental delays (DD) children (control group) were treated at the Child Mental Health Research Center,Nanjing Brian Hospital Affiliated of Nanjing Medical University,and the children whose age,gender and developmental quotient matched with the ASD children were scanned by structure magnetic resonance imaging (sMRI) at the age of 2-3 years old and 4-5 years old respectively.Region of interest (ROI) technology was adopted to investigate the change of the cerebrum white and the sub-lobes structure white matter volume with time.Then the correlation between clinical symptoms and brain white matter volume changes was analyzed.Results Among the 2-3 years old,compared with the control group,the white matter volume of the total brain[(383 521.84 ±6 427.57) mm3 vs.(364 014.06 ±6 856.97) mm3],the left cerebral hemisphere [(191 609.35 ± 3 206.60) mm3 vs.(181 695.89 ± 3 389.54)mm3],temporal lobe [(41 860.49 ±816.38) mm3 vs.(39 444.18 ± 834.85) mm3] and the right temporal lobe [(21 312.79 ± 414.07) mm3 vs.(20 084.22 ± 412.13) mm3] were significantly larger in the ASD group,and the differences were statistically significant (all P < 0.05).With the analysis of covariance with age or the total brain volume as the covariate,the differences disappeared(all P > 0.05).Among the 4-5 years old,compared with the control group,the white matter volumes of the total brain[(417 651.42 ± 6 443.86) mm3 vs.(394 317.27 ± 6 404.86)mm3],left cerebral hemisphere [(208 714.16 ±3 214.61) mm3 vs.(197 192.82 ±3 262.02) mm3],right cerebral hemisphere [(208937.26±3242.09) mm3 vs.(7 124.45 ±3 193.13) mm3],frontal lobe [(107 107.46±1 681.99) mm3 vs.(100 326.19 ± 1 883.24) mm3],left frontal lobe [(54 569.63 ± 846.85) mm3 vs.(51 177.25 ±979.09) mm3],right frontal lobe [(52 537.83 ± 841.99) mm3 vs.(49 148.94 ±928.31) mm3],temporal lobe [(45 189.75 ± 833.29) mm3 vs.(42 487.73 ± 786.27) mm3],left temporal lobe [(22 204.21 ±411.77) mm3 vs.(20 922.90 ± 418.46) mm3],and right temporal lobe [(22 985.54 ± 426.93) mm3 vs.(21 564.83 ± 378.78) mm3]were significantly larger in the ASD group,and the differences were statistically significant (all P < 0.05).With the analysis of covariance with age as the covariate,the differences still existed (all P < 0.05).With the analysis of covariance with the total brain volume as the covariate,the differences disappeared (all P > 0.05).For longitudinal analysis,there was a significant difference in the white matter volume between the whole brain,left cerebral hemisphere,right cerebral hemisphere,frontal lobe,left frontal lobe,fight frontal lobe,temporal lobe,left temporal lobe,right temporal lobe and the differences were statistically significant (F =5.521,5.533,5.459,5.830,5.800,5.723,4.857,4.418,5.159,all P <0.05).There was a positive correlation between the changes of the volume of whole brain,the white matter volume in the whole brain,bilateral cerebral hemisphere,frontal lobe,parietal lobe,right parietal lobe and Childhood Autism Rating Scale (r =0.367,0.343,0.321,0.349,0.296,0.308,0.351,all P < 0.05).Conclusions Among the 2-3 years old,the white matter volume of the brain regions have been increased significantly in ASD.Among the 4-5 years old,the increase of the white matter volume of the brain regions implicated more widely which mainly concentrated in the frontal and temporal lobe in ASD.The severity of the clinical symptoms of ASD may be associated with the white matter volume of the total brain,bilateral cerebral hemisphere,frontal lobe,parietal lobe and right parietal lobe.
5.Stepping into the Cancer Patients: Qualitative Study on Elements of Patients’ Participation in Medical Decision-making and their Health Outcomes
Jingxi CHEN ; Xiaoyu ZHANG ; Bingqing ZHU ; Liang ZHAO
Chinese Medical Ethics 2022;35(11):1230-1240
In order to understand the actual needs and influencing factors of cancer patients to participate in medical decision-making, 29 cancer patients were selected for semi-structured interviews by purpose sampling from September 2020 to February 2021, and the data were analyzed by substantive coding step by step according to interview method. The results showed that the quality of patient-clinician interaction was an important factor influencing the decision quality. The elements for cancer patients to participate in medical decision-making include: patients’ disease knowledge, awareness of choice, communication duration, support from family members and doctors, and mutual trust between doctors and patients. Medical staff should respect patients’ preference to participate in medical decision-making, break the medical-centered system arrangement, help patients obtain services matching their preferences for participating in decision-making, and achieve a pattern that is beneficial to both patients and the medical system.
6.Cryo-EM structures of a prokaryotic heme transporter CydDC.
Chen ZHU ; Yanfeng SHI ; Jing YU ; Wenhao ZHAO ; Lingqiao LI ; Jingxi LIANG ; Xiaolin YANG ; Bing ZHANG ; Yao ZHAO ; Yan GAO ; Xiaobo CHEN ; Xiuna YANG ; Lu ZHANG ; Luke W GUDDAT ; Lei LIU ; Haitao YANG ; Zihe RAO ; Jun LI
Protein & Cell 2023;14(12):919-923