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Wu M, Xie X, Jiang Q. Analysis of Risk Factors for Negative Emotions in the Perioperative Period in Patients with Benign Ovarian Cysts Treated Laparoscopically and Their Impact on Prognosis: A Retrospective Cohort Study. Int J Gen Med 2023; 16:6083-6095. [PMID: 38156080 PMCID: PMC10752820 DOI: 10.2147/ijgm.s442740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 12/14/2023] [Indexed: 12/30/2023] Open
Abstract
Background Ovarian cysts are common diseases among women. They might affect reproductive function in severe cases, and thus, patients with ovarian cysts often have negative emotions. Purpose In this study, we elucidated the risk factors for negative emotions in patients with ovarian cysts during the perioperative period and their impact on prognosis. Methods From August 2019 to August 2021, we retrospectively included 330 female patients with pathologically diagnosed benign ovarian cysts as potential participants in this study. Based on the established inclusion and exclusion criteria, 308 patients were finally included. We performed the t-test and Chi-squared test to analyze the relationship between the negative emotions of the patients and prognosis. Binary logistic regression and linear regression were used to assess independent risk factors for negative patient mood and prognosis.Based on SAS and SDS scores, patients with anxiety and/or depression are considered to combined negative emotions. Results In total, 47 patients (15.3%) had negative emotions during the perioperative period. The results of the binary logistic regression analysis showed that the menstrual status (OR = 3.099, P = 0.028), intraoperative blood loss (OR = 1.043, P = 0.029), recurrence (OR = 3.691, P = 0.047), and several other factors were independent risk factors for negative emotions. The results of the linear regression analysis showed that the presence of combined negative affect (P = 0.000), recurrence (P = 0.010), postoperative IL-2 (P = 0.035), and several other factors were independent risk factors for patient prognosis. Conclusion In clinical work, identifying the independent risk factors for negative emotions and enhancing their behavioral awareness and self-efficacy is necessary to improve their quality of life after surgery. Meanwhile, we will continue our exploration of the causes of negative emotions in patients in the future.
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Affiliation(s)
- Mingjuan Wu
- Department of Gynaecology, Wuxi Maternal and Child Health Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi, People’s Republic of China
| | - Xin Xie
- Department of Gynaecology, Wuxi Maternal and Child Health Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi, People’s Republic of China
| | - Qianying Jiang
- Department of Gynaecology, Wuxi Maternal and Child Health Hospital, Wuxi School of Medicine, Jiangnan University, Wuxi, People’s Republic of China
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2
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Zhou W, Guo J, Li Y, Ma X, Yang S, Wei J, Zhang H, Zhang S, Jin T. Genetic polymorphisms of pharmacogenomic VIP variants in the Hui population from Ningxia Province of China. Funct Integr Genomics 2023; 23:85. [PMID: 36930384 DOI: 10.1007/s10142-023-01021-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/08/2023] [Accepted: 03/09/2023] [Indexed: 03/18/2023]
Abstract
Pharmacogenomics has been widely used to study the very important pharmacogenetic (VIP) variants among different populations. However, there is little pharmacogenomic information about the Chinese Hui population. Our research aimed to reveal the outstandingly different loci in the Hui population, and provide a theoretical foundation for personalized drug use in the Hui population, so as to facilitate more effective treatment of diseases. This study genotyped 53 VIP variants of 26 genes in 200 independent Hui individuals based on the Pharmacogenetics and Pharmacogenomics Knowledge Base (PharmGKB). Remarkable differences in the genotype and allele frequencies between the Hui and 26 other populations from the 1000 Genomes Project were assessed using the χ2 test. The genotype and allele frequencies of single nucleotide polymorphisms (SNPs) in PTGS2 (rs20417), NAT2 (rs1801280), NAT2 (rs1208), ACE (rs4291), and CYP2D6 (rs1065852) were considerably different in the Hui population compared with those in the other 26 populations. Besides, using the PharmGKB database, we identified several VIP variants that may alter the drug metabolism of ibuprofen, rofecoxib (PTGS2), captopril (ACE), citalopram, and escitalopram (CYP2D6). We also discovered other variants associated with adverse reactions to cisplatin and cyclophosphamide (NAT2). Our study indicated that the loci of PTGS2 (rs20417), NAT2 (rs1801280 and rs1208), ACE (rs4291), and CYP2D6 (rs1065852) in the Hui population were obviously different from those in the other 26 populations, which provides reliable information for predicting drug efficacy. Besides, it supplements the pharmacogenomic knowledge of the Hui population and lays the foundation for the individualized treatment for the Hui population.
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Affiliation(s)
- Wenqian Zhou
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jinping Guo
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Yujie Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Xiaoya Ma
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Shuangyu Yang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Jie Wei
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Huan Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China
| | - Shanshan Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China.
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China.
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China, Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.
- College of Life Science, Northwest University, Xi'an, 710127, Shaanxi, China.
- Shaanxi Provincial Key Laboratory of Biotechnology, Northwest University, Xi'an, 710069, Shaanxi, China.
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3
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Yang S, Dou X, Wang Z, Zhang W, Ding K, Meng W, Li H, Liu J, Liu Y, Jin T. Genetic variation of pharmacogenomic VIP variants in the Chinese Li population: an updated research. Mol Genet Genomics 2022; 297:407-417. [PMID: 35146537 DOI: 10.1007/s00438-022-01855-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2021] [Accepted: 01/04/2022] [Indexed: 10/19/2022]
Abstract
Previous studies have shown that the frequency of very important pharmacogenomic (VIP) genes varies in different populations which leads to the diversities in drug efficacy, safety, and the risk associated with adverse drug reactions (ADRs). The purpose of this study was to identify the distribution differences of VIP variants between the Li population and the other 13 populations. Based on the Pharmacogenomics Knowledgebase database (PhamGKB), we successfully genotyped 52 VIP variants within 27 genes in 200 unrelated Li population. χ2 test was used to evaluate the significant differences of genotype and allele frequencies between the Li and the other 13 populations from 1000 Genomes Project. Our study showed that the genotype frequencies of single nucleotide polymorphisms (SNPs) on KCNH2, ACE, CYP4F2, and CYP2E1 were considerably different between Li and the other 13 populations, especially in rs1805123 (KCNH2), rs4291 (ACE), rs3093105 (CYP4F2), and rs6413432 (CYP2E1) loci. Meanwhile, we found several VIP variants that might alter the drug metabolism of cisplatin-cyclophosphamide (CYP2E1), vitamin E (CYP4F2), asthma amlodipine, chlorthalidone, and lisinopril (ACE) through PharmGKB. We also identified other variants which were associated with adverse effects in isoniazid and rifampicin (CYP2E1; hepatotoxicity). The four loci rs1805123 (KCNH2), rs4291 (ACE), rs3093105 (CYP4F2), and rs6413432 (CYP2E1) provided a reliable basis for the prediction of the efficacy of certain drugs. The study complemented the existed pharmacogenomics information, which could provide theoretical basis for predicting the efficacy of certain drugs in the Li population.
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Affiliation(s)
- Shuangyu Yang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Xia Dou
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Zhen Wang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Wenjie Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Kefan Ding
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Wenting Meng
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Haiyue Li
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Jianfeng Liu
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Yuanwei Liu
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China.,College of Life Science, Northwest University, Xi'an, 710069, China
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education, School of Life Sciences, Northwest University, Xi'an, 710069, Shaanxi, China. .,Provincial Key Laboratory of Biotechnology of Shaanxi Province, Northwest University, Xi'an, 710069, Shaanxi, China. .,Engineering Research Center of Tibetan Medicine Detection Technology, Ministry of Education, Xizang Minzu University, Xianyang, 712000, Shaanxi, China.
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4
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Genetic analysis of pharmacogenomic VIP variants in the Wa population from Yunnan Province of China. BMC Genom Data 2021; 22:51. [PMID: 34798807 PMCID: PMC8605568 DOI: 10.1186/s12863-021-00999-8] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 10/08/2021] [Indexed: 11/24/2022] Open
Abstract
Background The variation of drug responses and target does among individuals is mostly determined by genes. With the development of pharmacogenetics and pharmacogenomics, the differences in drug response between different races seem to be mainly caused by the genetic diversity of pharmacodynamics and pharmacokinetics genes. Very important pharmacogenetic (VIP) variants mean that genes or variants play important and vital roles in drug response, which have been listed in pharmacogenomics databases, such as Pharmacogenomics Knowledge Base (PharmGKB). The information of Chinese ethnic minorities such as the Wa ethnic group is scarce. This study aimed to uncover the significantly different loci in the Wa population in Yunnan Province of China from the perspective of pharmacogenomics, to provide a theoretical basis for the future medication guidance, and to ultimately achieve the best treatment in the future. Results In this study, we recruited 200 unrelated healthy Wa adults from the Yunnan province of China, selected 52 VIP variants from the PharmGKB for genotyping. We also compared the genotype frequency and allele distribution of VIP variants between Wa population and the other 26 populations from the 1000 Genomes Project (http://www.1000Genomes.org/). Next, χ2 test was used to determine the significant points between these populations. The study results showed that compared with the other 26 population groups, five variants rs776746 (CYP3A5), rs4291 (ACE), rs3093105 (CYP4F2), rs1051298 (SLC19A1), and rs1065852 (CYP2D6) had higher frequencies in the Wa population. The genotype frequencies rs4291-TA, rs3093105-CA, rs1051298-AG and rs1065852-GA were higher than those of the other populations, and the allele distributions of rs4291-T and rs3093105-C were significantly different. Additionally, the difference between the Wa ethnic group and East Asian populations, such as CDX, CHB, and CHS, was the smallest. Conclusions Our research results show that there is a significant difference in the distribution of VIP variants between the Wa ethnic group and the other 26 populations. The study results will have an effect on supplementing the pharmacogenomics information for the Wa population and providing a theoretical basis for individualised medication for the Wa population. Supplementary Information The online version contains supplementary material available at 10.1186/s12863-021-00999-8.
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5
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Zhang Y, Wang S, He H, Wang X, Zhu D, Wen X, Zhang S. Evaluation of three microhaplotypes in individual identification and ancestry inference. Forensic Sci Int 2021; 320:110681. [PMID: 33549990 DOI: 10.1016/j.forsciint.2021.110681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 12/04/2020] [Accepted: 01/04/2021] [Indexed: 10/22/2022]
Abstract
Microhaplotype as an emerging genetic marker has attracted more attention in forensic field. The purpose of this study was to evaluate the potential of microhaplotypes in individual identification and ancestry inference in Chinese Hainan Li and 26 1000 G populations. Three microhaplotypes were genotyped from 100 Li individuals using Agena MassARRAY. Moreover, 2504 individuals from 26 populations (1000 Genomes Project database) were enrolled. The genotypes frequencies of microhaplotypes in each population were calculated by the Plink software. We used Structure, Arlequin, and MEGA6 software to analyze the genetic structure, differentiation and genetic background difference, respectively. The forensic parameters of these microhaplotypes were calculated using Modified Powerstats software. The distribution of genotypes frequencies of three microhaplotypes elaborated the high diversities among the Li and 26 1000 G populations. Li population had a close genetic relationship with EAS populations using structure analysis. No differentiation was observed between Li and CHS population by Fst analysis. The NJ tree showed that the genetic background of Li and CHS is most similar. The average heterozygosity (HE), probability of match (PM), power of discrimination (PD), probability of exclusion (PE) and polymorphism information content (PIC) values for the three microhaplotypes in 27 populations were 0.535, 0.497, 0.465, 0.325, and 0.481, respectively. In conclusion, our results revealed three microhaplotypes as individual identification and ancestry inference genetic markers among Li population and 26 1000 G populations. Future studies are needed to confirm our results with larger samples and select much higher forensic efficacy microhaplotypes.
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Affiliation(s)
- Yingai Zhang
- Central Laboratory, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, 570208, China; School of Life and Pharmaceutical Sciences, Hainan University, Haikou, Hainan, 570228, China
| | - Shunlan Wang
- Central Laboratory, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, 570208, China
| | - Haowei He
- Central Laboratory, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, 570208, China
| | - Xianwen Wang
- Criminal Technical Detachment, Haikou City Public Security Bureau, Haikou, Hainan, 570208, China
| | - Dan Zhu
- Central Laboratory, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, 570208, China
| | - Xiaohong Wen
- Central Laboratory, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, 570208, China
| | - Shufang Zhang
- Central Laboratory, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, Hainan, 570208, China.
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6
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Hu N, Lei M, Zhao X, Wang Y, Zhang Y, Wang S. Analysis of microbiota in Hainan Yucha during fermentation by 16S rRNA gene high‐throughput sequencing. J FOOD PROCESS PRES 2020. [DOI: 10.1111/jfpp.14523] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Nan Hu
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education of China Tianjin University of Science and Technology Tianjin China
| | - Ming Lei
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education of China Tianjin University of Science and Technology Tianjin China
| | - Xiuli Zhao
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education of China Tianjin University of Science and Technology Tianjin China
| | - Yuanyifei Wang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education of China Tianjin University of Science and Technology Tianjin China
| | - Yan Zhang
- Tianjin Key Laboratory of Food Science and Health, School of Medicine Nankai University Tianjin China
| | - Shuo Wang
- State Key Laboratory of Food Nutrition and Safety, Key Laboratory of Food Nutrition and Safety, Ministry of Education of China Tianjin University of Science and Technology Tianjin China
- Tianjin Key Laboratory of Food Science and Health, School of Medicine Nankai University Tianjin China
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7
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Cheng Y, Dai R, Chen W, Li Q, Zhang C, Yang T. Genetic polymorphisms of pharmacogenomic VIP variants in the Dai population from Yunnan province. Mol Genet Genomic Med 2020; 8:e1231. [PMID: 32347657 PMCID: PMC7336744 DOI: 10.1002/mgg3.1231] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2020] [Revised: 02/04/2020] [Accepted: 02/24/2020] [Indexed: 12/17/2022] Open
Abstract
Background Pharmacogenomics plays a crucial role in individualized therapy, but the variant information of pharmacogenomics in the Dai population is limited. We therefore aimed to screen very important pharmacogenetic (VIP) in the Dai population and compared differences between Dai and other 25 populations. Methods In this study, we genotyped 73 VIP variants from the PharmGKB and compared genotype distribution of variants in Dai with other 25 populations by χ2 test. To assess the genetic relationship among 26 populations, we performed the structure analysis. In addition, pair‐wise F‐statistics (Fst) was calculated to measure the population differentiation. Results We found 12, 10, 13, 17, 11, 39, 46, 46, 45, 43, 49, 46, 46, 46, 49, 45, 41, 42, 48, 53, 45, 50, 50, 51, 47, and 50 significantly different variants in Dai compared with other 25 populations. Genetic structure analysis showed Dai had close relationships with CDX (Chinese Dai in Xishuangbanna), CHB (Han Chinese in Beijing), JPT (Japanese in Tokyo), and KHV (Kinh in Ho Chi Minh City, Vietnam). Moreover, Dai is the most similar to KHV according to Fst analysis. Conclusions Our study complement the pharmacogenomics information of Dai population from Yunnan province and provide a theoretical basis for personalized medicine.
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Affiliation(s)
- Yujing Cheng
- Department of Blood TransfusionThe First People’s Hospital of Yunnan ProvinceYunnan ProvinceKunmingChina
| | - Run Dai
- Department of Blood TransfusionThe First People’s Hospital of Yunnan ProvinceYunnan ProvinceKunmingChina
| | - Wanlu Chen
- Department of Blood TransfusionThe First People’s Hospital of Yunnan ProvinceYunnan ProvinceKunmingChina
| | - Qi Li
- Department of Blood TransfusionThe First People’s Hospital of Yunnan ProvinceYunnan ProvinceKunmingChina
| | - Chan Zhang
- Department of Blood TransfusionThe First People’s Hospital of Yunnan ProvinceYunnan ProvinceKunmingChina
| | - Tonghua Yang
- Department of HematologyThe First People’s Hospital of Yunnan ProvinceYunnan ProvinceKunmingChina
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8
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Zhang F, Li X, Ni Y, Shan G, Gao Y. Preliminary study of the urinary proteome in Li and Han ethnic individuals from Hainan. SCIENCE CHINA. LIFE SCIENCES 2020; 63:125-137. [PMID: 31102176 DOI: 10.1007/s11427-018-9485-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2018] [Accepted: 01/23/2019] [Indexed: 01/05/2023]
Abstract
Biomarkers indicate changes associated with disease. Blood is relatively stable due to the homeostatic mechanisms of the body; however, urine accumulates metabolites from changes in the body, making it a better source for early biomarker discovery. The Li ethnic group is a unique minority ethnic group that has only lived on Hainan Island for approximately 5,000 years. Studies have shown that various specific genetic variations are different between the Li and Han ethnic groups. However, whether the urinary proteome between these two ethnic groups is significantly different remains unknown. In this study, differential urinary proteins were identified in the Li and Han ethnic groups using liquid chromatography tandem mass spectrometry (LC-MS/MS). In total, 1,555 urinary proteins were identified. Twenty-five of the urinary proteins were statistically significantly different, 16 of which have been previously reported to be biomarkers of many diseases, and that these significantly different proteins were caused by ethnic differences rather than random differences. Ethnic group differences may be an influencing factor in urine proteome studies and should be considered when human urine samples are used for biomarker discovery.
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Affiliation(s)
- Fanshuang Zhang
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.,Department of Pathophysiology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Xundou Li
- Department of Pathophysiology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Yanying Ni
- Department of Pathophysiology, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, 100005, China.
| | - Youhe Gao
- Department of Biochemistry and Molecular Biology, Beijing Normal University, Gene Engineering Drug and Biotechnology Beijing Key Laboratory, Beijing, 100875, China.
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9
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Tang Y, Han T. A quantitative analysis infection of ovarian cyst based on examination data of computed tomography and type-B ultrasonography. J Infect Public Health 2019; 14:84-88. [PMID: 31455597 DOI: 10.1016/j.jiph.2019.08.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Revised: 08/01/2019] [Accepted: 08/04/2019] [Indexed: 11/19/2022] Open
Abstract
In order to explore the accuracy of computed tomography (CT) and type-B ultrasonography in the examinations infection of ovarian cyst, the computed tomography and type-B ultrasonography were used for the examinations of 50 patients with infection of ovarian cysts, whose results were analyzed to determine the accuracy. Results have shown that the misdiagnosis rates of CT for patients with infection of ovarian cyst reached 18%, in which the misdiagnosis rate of small lesion 2.1×1.5×1.8cm was relatively higher; in addition, the misdiagnosis rates of type-B ultrasonography reached 26%, in which the misdiagnosis rate of large lesion 2.6×1.6×1.5cm was relatively higher; however, the misdiagnosis rates of the joint examination of these methods were only 2%. In summary, the deficiencies of CT and type-B ultrasonography may lead to misdiagnosis; therefore, in the clinical practices, the examinations of patients with infection of ovarian cyst should combine CT and type-B ultrasonography together to avoid the misdiagnosis and obtain the most accurate results as much as possible, which is important to both the patients and the development of medical examinations.
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Affiliation(s)
- Yan Tang
- Hunan Maternal and Child Health Hospital, No.53 Xiangchun Road, Changsha City, Hunan Province, 410008, China
| | - Ting Han
- Hunan Maternal and Child Health Hospital, No.53 Xiangchun Road, Changsha City, Hunan Province, 410008, China.
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10
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Li B, Wang L, Lei L, Zhang M, Niu F, Chen P, Jin T. Genetic polymorphisms of pharmacogenomic VIP variants in the Lisu population of southwestern China: A cohort study. Medicine (Baltimore) 2018; 97:e12231. [PMID: 30235667 PMCID: PMC6160020 DOI: 10.1097/md.0000000000012231] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/10/2018] [Accepted: 08/14/2018] [Indexed: 11/26/2022] Open
Abstract
Pharmacogenomic studies of different ethnic or racial groups have been used to develop personalized therapies specific to subjects. This study aimed to identify the distribution differences of very important pharmacogenetic (VIP) variants between the Lisu population from southwestern China and other ethnic groups.Eighty VIP variants in 37 genes were selected from the pharmacogenomic knowledge base (PharmGKB), and compared with genotype data of the Lisu population then compared with other 11 populations from the HapMap dataset and previously published data including Miao, Li, Deng, Sherpa, Lhoba, Tibetan, Kirghiz, Tajik, Mongol, Shaanxi Han ethnic, and Uygur populations.VDR rs1540339, MTHFR rs1801131, P2RY1 rs701265, and PTGS2 rs689466 were significantly different between Lisu and 11 HapMap populations. ANKK1 rs1800497 was the least statistical significant locus among selected single nucleotide polymorphisms. In addition, genetic background of Lisu was strongly closest to Shaanxi Han ethnic cohort, and followed by Chinese in metropolitan Denver population based on population structure and F-statistics analyses.Our results showed significant interethnic differences between Lisu and other populations, which will give useful information for prospective studies and better individualized treatments.
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Affiliation(s)
- Bin Li
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education
| | - Li Wang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education
| | - Lingyu Lei
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education
| | - Mingxiang Zhang
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education
| | - Fanglin Niu
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education
| | - Peng Chen
- Institution of Basic Medical Science, Xi’an Medical University, Xi’an
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China (Northwest University), Ministry of Education
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, China
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Li J, Guo C, Yan M, Niu F, Chen P, Li B, Jin T. Genetic polymorphisms in very important pharmacogenomic variants in the Zhuang ethnic group of Southwestern China: A cohort study in the Zhuang population. Medicine (Baltimore) 2018; 97:e0559. [PMID: 29703042 PMCID: PMC5944516 DOI: 10.1097/md.0000000000010559] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/27/2022] Open
Abstract
Pharmacogenomics, the study of the role of genetics in drug response, has recently become a focal point of research. Previous studies showed that genes associated with drug detoxification vary among different populations. However, pharmacogenomic information of the Zhuang ethnic group is scarce. The aim of the present study was to screen members of the Zhuang ethnicity in southwestern China for genotype frequencies of very important pharmacogenomic (VIP) variants and to determine the differences between the Zhuang ethnicity and other human populations.We genotyped 80 variants of VIP genes in 100 unrelated healthy Zhuang adults from the Yunnan province of China. Next, we analyzed the genotyping data with Structure and F-statistics (Fst).We compared our data with those of other populations using the HapMap data set, and observed that the frequency distribution of Zhuang population in Yunnan closely resembles that of JPT. Furthermore, population structure and Fst analysis showed that the Zhuang population is closely related to the Shaanxi Han population with respect to genetic background.Our study supplements existing information on Zhuang population pharmacogenomics and provides an extensive overview for developing personalized medicine.
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Affiliation(s)
- Jing Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Ministry of Education
| | - Chenghao Guo
- Xi’an 21st Century Precision Medicine Research Institute Co. Ltd
| | - Mengdan Yan
- Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Ministry of Education
| | - Fanglin Niu
- Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Ministry of Education
| | - Peng Chen
- Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Ministry of Education
| | - Bin Li
- Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Ministry of Education
| | - Tianbo Jin
- Key Laboratory of Resource Biology and Biotechnology in Western China, Northwest University, Ministry of Education
- Key Laboratory of Molecular Mechanism and Intervention Research for Plateau Diseases of Tibet Autonomous Region, School of Medicine, Xizang Minzu University
- Key Laboratory of High Altitude Environment and Genes Related to Diseases of Tibet Autonomous Region, School of Medicine
- Key Laboratory for Basic Life Science Research of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, China
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Metagenomic approach reveals microbial diversity and predictive microbial metabolic pathways in Yucha, a traditional Li fermented food. Sci Rep 2016; 6:32524. [PMID: 27578483 PMCID: PMC5006176 DOI: 10.1038/srep32524] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2016] [Accepted: 08/10/2016] [Indexed: 11/23/2022] Open
Abstract
Yucha is a typical traditional fermented food of the Li population in the Hainan province of China, and it is made up of cooked rice and fresh fish. In the present study, metagenomic approach and culture-dependent technology were applied to describe the diversity of microbiota and identify beneficial microbes in the Yucha. At the genus level, Lactobacillus was the most abundant genus (43.82% of the total reads), followed by Lactococcus, Enterococcus, Vibrio, Weissella, Pediococcus, Enterobacter, Salinivibrio, Acinetobacter, Macrococcus, Kluyvera and Clostridium; this result was confirmed by q-PCR. PCoA based on Weighted UniFrac distances showed an apparent clustering pattern for Yucha samples from different locations, and Lactobacillus sakei, Lactobacillus saniviri and Staphylococcus sciuri represented OTUs according to the major identified markers. At the microbial functional level, it was observed that there was an enrichment of metabolic functional features, including amino acid and carbohydrate metabolism, which implied that the microbial metabolism in the Yucha samples tended to be vigorous. Accordingly, we further investigated the correlation between the predominant microbes and metabolic functional features. Thirteen species of Lactobacillus (147 strains) were isolated, and Lactobacillus plantarum (60 isolates) and Lactobacillus pentosus (34 isolates) were isolated from every sample.
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