1.Comprehensive Application of AHP-CRITIC Hybrid Weighting Method, Grey Correlation Analysis and BP-ANN in Optimization of Extraction Process of Qizhi Prescription
Qun LAN ; Yi CHENG ; Zian LI ; Bingyu WU ; Jinyu WANG ; Dewen LIU ; Yan TONG
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(8):176-186
ObjectiveBased on analytic hierarchy process(AHP)-criteria importance through intercriteria correlation(CRITIC) hybrid weighting method, grey relational analysis and backpropagation artificial neural network(BP-ANN), to optimize the water extraction process of Qizhi prescription, so as to provide an experimental basis for optimization of the preparation process of this prescription and the establishment of quality standards. MethodsL9(34) orthogonal test was employed, and the AHP-CRITIC hybrid weighting method was utilized to determine the weight coefficients of the quality fractions of various components, including astragaloside Ⅳ, polygalaxanthone Ⅲ, calycosin-7-O-β-D-glucoside, tenuifolin, and 3,6′-disinapoylsucrose, as well as the dry extract yield. The comprehensive score of each factor level combination in the orthogonal test were calculated as evaluation indicator to select the optimal extraction process parameters. The effects of extraction times, extraction time, and solvent dosage on the aqueous extraction process of the formula were investigated through intuitive analysis, variance analysis, and grey relational analysis. Meanwhile, a BP-ANN model was established to reverse-predict the optimal extraction process parameters of Qizhi prescription, and the optimized process parameters were validated. ResultsThe weight coefficients of the five index components(astragaloside Ⅳ, tenuifolin, calycosin-7-O-β-D-glucoside, polygalaxanthone Ⅲ, and 3,6′-disinapoylsucrose) and dry extract yield were 25.7%, 20.82%, 16.41%, 12.45%, 15.96% and 8.67%, respectively. The optimized extraction process parameters were extracted 3 times with 8, 6, 6 times the amount of water, each time for 1 h. The network prediction results of BP-ANN test samples were consistent with the orthogonal test results, and the mean square error(MSE) of the predicted and measured values of the network was <1%. The water extraction process of Qizhi prescription analyzed and predicted by relevant mathematical models was stable and feasible, which could effectively improve the extraction efficiency of the active ingredients of Astragali Radix and Polygalae Radix, and the average comprehensive score of the validation test was 90.85 with the relative standard deviation(RSD) of 1.55%. ConclusionThis study establishes a water extraction process for compound Qizhi granules, and the optimized extraction process can effectively improve the extraction efficiency of active ingredients, which provides useful references for the optimization of preparation process and the establishment of quality standards for other clinical experience formulas.
2.CFAP300 loss-of-function variant causes primary ciliary dyskinesia and male infertility via disrupting sperm flagellar assembly and acrosome formation.
Hua-Yan YIN ; Yu-Qi ZHOU ; Qun-Shan SHEN ; Zi-Wen CHEN ; Jie-Ru LI ; Huan WU ; Yun-Xia CAO ; Rui GUO ; Bing SONG
Asian Journal of Andrology 2025;27(6):743-750
Primary ciliary dyskinesia (PCD) is a genetically heterogeneous disorder characterized by impaired motility of cilia and flagella. Mutations in cilia- and flagella-associated protein 300 ( CFAP300 ) are associated with human PCD and male infertility; however, the underlying pathogenic mechanisms remain poorly understood. In a consanguineous Chinese family, we identified a homozygous CFAP300 loss-of-function variant (c.304delC) in a proband presenting with classical PCD symptoms and severe sperm abnormalities, including dynein arm deficiency and acrosomal malformation, as confirmed by transmission electron microscopy (TEM). Histological analysis revealed multiple morphological abnormalities of the sperm flagella in CFAP300 -mutant individual, whereas immunofluorescence demonstrated markedly reduced CFAP300 expression in the spermatozoa of the proband. Furthermore, tandem mass tag (TMT)-based quantitative proteomics showed that the CFAP300 mutation reduced key spermatogenesis proteins (e.g., sperm flagellar 2 [SPEF2], solute carrier family 25 member 31 [SLC25A31], and A-kinase anchoring protein 3 [AKAP3]) and mitochondrial ATP synthesis factors (e.g., SLC25A31, cation channel sperm-associated 3 [CATSPER3]). It also triggered abnormal increases in autophagy-related proteins and signaling mediator phosphorylation. These molecular alterations are likely to contribute to progressive deterioration of sperm ultrastructure and function. Notably, successful pregnancy was achieved via intracytoplasmic sperm injection (ICSI) using the proband's sperm. Overall, this study expands the known CFAP300 mutational spectrum and offers novel mechanistic insights into its role in spermatogenesis.
Humans
;
Male
;
Infertility, Male/pathology*
;
Acrosome/pathology*
;
Sperm Tail/pathology*
;
Pedigree
;
Spermatozoa
;
Adult
;
Loss of Function Mutation
;
Ciliary Motility Disorders/genetics*
;
Spermatogenesis/genetics*
;
Female
3.Expert consensus on the application of nasal cavity filling substances in nasal surgery patients(2025, Shanghai).
Keqing ZHAO ; Shaoqing YU ; Hongquan WEI ; Chenjie YU ; Guangke WANG ; Shijie QIU ; Yanjun WANG ; Hongtao ZHEN ; Yucheng YANG ; Yurong GU ; Tao GUO ; Feng LIU ; Meiping LU ; Bin SUN ; Yanli YANG ; Yuzhu WAN ; Cuida MENG ; Yanan SUN ; Yi ZHAO ; Qun LI ; An LI ; Luo BA ; Linli TIAN ; Guodong YU ; Xin FENG ; Wen LIU ; Yongtuan LI ; Jian WU ; De HUAI ; Dongsheng GU ; Hanqiang LU ; Xinyi SHI ; Huiping YE ; Yan JIANG ; Weitian ZHANG ; Yu XU ; Zhenxiao HUANG ; Huabin LI
Journal of Clinical Otorhinolaryngology Head and Neck Surgery 2025;39(4):285-291
This consensus will introduce the characteristics of fillers used in the surgical cavities of domestic nasal surgery patients based on relevant literature and expert opinions. It will also provide recommendations for the selection of cavity fillers for different nasal diseases, with chronic sinusitis as a representative example.
Humans
;
Nasal Cavity/surgery*
;
Nasal Surgical Procedures
;
China
;
Consensus
;
Sinusitis/surgery*
;
Dermal Fillers
4.Analysis of Brain Absorption Components and Their Distribution of Tianyuan Zhitong Prescription Based on UPLC-Q-TOF-MS and DESI-MSI
Yi CHENG ; Qun LAN ; Bingyu WU ; Jinyu WANG ; Dewen LIU ; Yan TONG
Chinese Journal of Experimental Traditional Medical Formulae 2024;30(12):166-172
ObjectiveTo investigate the brain absorption components of Tianyuan Zhitong prescription and their distribution based on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry(UPLC-Q-TOF-MS), desorption electrospray ionization mass spectrometry imaging(DESI-MSI) and hyperspectral imaging techniques. MethodTen BALB/c mice were randomly divided into blank group(n=3) and administration group(n=7), the administration group was gavaged with 0.3 mL of Tianyuan Zhitong prescription liquid at a concentration of about 5 g·mL-1 of the raw material, and the blank group was gavaged with an equal volume of normal saline, and the whole brain of the mice were taken for the preparation of tissue homogenates and frozen sections, respectively. The tissue homogenates were qualitatively analyzed by UPLC-Q-TOF-MS for the brain absorption components in positive and negative ion modes, frozen sections were used for imaging to observe the distribution of these components in the brain. Cytoviva dark-field enhancement microscope was used to perform hyperspectral imaging scanning on the brain sections of mice from each group, and the scattered light data of at least 1 000 pixels in the visible-near-infrared(400-1 000 nm) band in the microscopic field of view were collected and average spectrum were created, which were used to compare the components in the brain tissues of mice from the blank and administration groups. ResultA total of 27 brain absorption components of Tianyuan Zhitong prescription were identified by UPLC-Q-TOF-MS, including 10 organic acids, 5 glycosides, 4 alkaloids, 1 phenol, 4 flavonoids, 2 phthalides and 1 other compound, which were mainly derived from Gastrodiae Rhizoma, Chuanxiong Rhizoma, vinegar-processed Corydalis Rhizoma, Ziziphi Spinosae Semen and processed Morindae Officinalis Radix. A total of 14 components were identified by mass spectrometry imaging, of which ferulic acid, tetrahydropalmatine and N-methyl dehydroberberine were mainly distributed in the cerebral cortex, vitamin B5, vemonoic acid and ricinoleic acid were mainly distributed in the hypothalamus, elemicin, octadecenic acid and octadecanoic acid were mainly distributed in the cortex and hypothalamus, while senkyunolide B, ligustilide, linoleic acid, 9,12-octadecadienoyl ethyl ester and spinosin were distributed in most regions of the brain tissues. Hyperspectral imaging showed that in the visible-near-infrared band range, the average spectrum of the brain tissues of mice in the administration group was significantly red-shifted, indicating that there were differences in the physical properties or contents of the chemical components in the brain between mice in the blank group and those in the administration group, and further verified the results of mass spectrometry imaging. ConclusionThrough the combination of UPLC-Q-TOF-MS and imaging techniques, the pharmacodynamic components of Tianyuan Zhitong prescription in the treatment of headache and the regional characteristics in brain tissue are clarified, which can provide reference for the selection of the index components of the research on the quality standard of this prescription and the research on the mechanism of the pharmacological effect.
5.Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients (version 2024)
Yao LU ; Yang LI ; Leiying ZHANG ; Hao TANG ; Huidan JING ; Yaoli WANG ; Xiangzhi JIA ; Li BA ; Maohong BIAN ; Dan CAI ; Hui CAI ; Xiaohong CAI ; Zhanshan ZHA ; Bingyu CHEN ; Daqing CHEN ; Feng CHEN ; Guoan CHEN ; Haiming CHEN ; Jing CHEN ; Min CHEN ; Qing CHEN ; Shu CHEN ; Xi CHEN ; Jinfeng CHENG ; Xiaoling CHU ; Hongwang CUI ; Xin CUI ; Zhen DA ; Ying DAI ; Surong DENG ; Weiqun DONG ; Weimin FAN ; Ke FENG ; Danhui FU ; Yongshui FU ; Qi FU ; Xuemei FU ; Jia GAN ; Xinyu GAN ; Wei GAO ; Huaizheng GONG ; Rong GUI ; Geng GUO ; Ning HAN ; Yiwen HAO ; Wubing HE ; Qiang HONG ; Ruiqin HOU ; Wei HOU ; Jie HU ; Peiyang HU ; Xi HU ; Xiaoyu HU ; Guangbin HUANG ; Jie HUANG ; Xiangyan HUANG ; Yuanshuai HUANG ; Shouyong HUN ; Xuebing JIANG ; Ping JIN ; Dong LAI ; Aiping LE ; Hongmei LI ; Bijuan LI ; Cuiying LI ; Daihong LI ; Haihong LI ; He LI ; Hui LI ; Jianping LI ; Ning LI ; Xiying LI ; Xiangmin LI ; Xiaofei LI ; Xiaojuan LI ; Zhiqiang LI ; Zhongjun LI ; Zunyan LI ; Huaqin LIANG ; Xiaohua LIANG ; Dongfa LIAO ; Qun LIAO ; Yan LIAO ; Jiajin LIN ; Chunxia LIU ; Fenghua LIU ; Peixian LIU ; Tiemei LIU ; Xiaoxin LIU ; Zhiwei LIU ; Zhongdi LIU ; Hua LU ; Jianfeng LUAN ; Jianjun LUO ; Qun LUO ; Dingfeng LYU ; Qi LYU ; Xianping LYU ; Aijun MA ; Liqiang MA ; Shuxuan MA ; Xainjun MA ; Xiaogang MA ; Xiaoli MA ; Guoqing MAO ; Shijie MU ; Shaolin NIE ; Shujuan OUYANG ; Xilin OUYANG ; Chunqiu PAN ; Jian PAN ; Xiaohua PAN ; Lei PENG ; Tao PENG ; Baohua QIAN ; Shu QIAO ; Li QIN ; Ying REN ; Zhaoqi REN ; Ruiming RONG ; Changshan SU ; Mingwei SUN ; Wenwu SUN ; Zhenwei SUN ; Haiping TANG ; Xiaofeng TANG ; Changjiu TANG ; Cuihua TAO ; Zhibin TIAN ; Juan WANG ; Baoyan WANG ; Chunyan WANG ; Gefei WANG ; Haiyan WANG ; Hongjie WANG ; Peng WANG ; Pengli WANG ; Qiushi WANG ; Xiaoning WANG ; Xinhua WANG ; Xuefeng WANG ; Yong WANG ; Yongjun WANG ; Yuanjie WANG ; Zhihua WANG ; Shaojun WEI ; Yaming WEI ; Jianbo WEN ; Jun WEN ; Jiang WU ; Jufeng WU ; Aijun XIA ; Fei XIA ; Rong XIA ; Jue XIE ; Yanchao XING ; Yan XIONG ; Feng XU ; Yongzhu XU ; Yongan XU ; Yonghe YAN ; Beizhan YAN ; Jiang YANG ; Jiangcun YANG ; Jun YANG ; Xinwen YANG ; Yongyi YANG ; Chunyan YAO ; Mingliang YE ; Changlin YIN ; Ming YIN ; Wen YIN ; Lianling YU ; Shuhong YU ; Zebo YU ; Yigang YU ; Anyong YU ; Hong YUAN ; Yi YUAN ; Chan ZHANG ; Jinjun ZHANG ; Jun ZHANG ; Kai ZHANG ; Leibing ZHANG ; Quan ZHANG ; Rongjiang ZHANG ; Sanming ZHANG ; Shengji ZHANG ; Shuo ZHANG ; Wei ZHANG ; Weidong ZHANG ; Xi ZHANG ; Xingwen ZHANG ; Guixi ZHANG ; Xiaojun ZHANG ; Guoqing ZHAO ; Jianpeng ZHAO ; Shuming ZHAO ; Beibei ZHENG ; Shangen ZHENG ; Huayou ZHOU ; Jicheng ZHOU ; Lihong ZHOU ; Mou ZHOU ; Xiaoyu ZHOU ; Xuelian ZHOU ; Yuan ZHOU ; Zheng ZHOU ; Zuhuang ZHOU ; Haiyan ZHU ; Peiyuan ZHU ; Changju ZHU ; Lili ZHU ; Zhengguo WANG ; Jianxin JIANG ; Deqing WANG ; Jiongcai LAN ; Quanli WANG ; Yang YU ; Lianyang ZHANG ; Aiqing WEN
Chinese Journal of Trauma 2024;40(10):865-881
Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.
6.Surveillance of bacterial resistance in tertiary hospitals across China:results of CHINET Antimicrobial Resistance Surveillance Program in 2022
Yan GUO ; Fupin HU ; Demei ZHU ; Fu WANG ; Xiaofei JIANG ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Yuling XIAO ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Jingyong SUN ; Qing CHEN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yunmin XU ; Sufang GUO ; Yanyan WANG ; Lianhua WEI ; Keke LI ; Hong ZHANG ; Fen PAN ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Wei LI ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Qian SUN ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanqing ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Wenhui HUANG ; Juan LI ; Quangui SHI ; Juan YANG ; Abulimiti REZIWAGULI ; Lili HUANG ; Xuejun SHAO ; Xiaoyan REN ; Dong LI ; Qun ZHANG ; Xue CHEN ; Rihai LI ; Jieli XU ; Kaijie GAO ; Lu XU ; Lin LIN ; Zhuo ZHANG ; Jianlong LIU ; Min FU ; Yinghui GUO ; Wenchao ZHANG ; Zengguo WANG ; Kai JIA ; Yun XIA ; Shan SUN ; Huimin YANG ; Yan MIAO ; Mingming ZHOU ; Shihai ZHANG ; Hongjuan LIU ; Nan CHEN ; Chan LI ; Jilu SHEN ; Wanqi MEN ; Peng WANG ; Xiaowei ZHANG ; Yanyan LIU ; Yong AN
Chinese Journal of Infection and Chemotherapy 2024;24(3):277-286
Objective To monitor the susceptibility of clinical isolates to antimicrobial agents in tertiary hospitals in major regions of China in 2022.Methods Clinical isolates from 58 hospitals in China were tested for antimicrobial susceptibility using a unified protocol based on disc diffusion method or automated testing systems.Results were interpreted using the 2022 Clinical &Laboratory Standards Institute(CLSI)breakpoints.Results A total of 318 013 clinical isolates were collected from January 1,2022 to December 31,2022,of which 29.5%were gram-positive and 70.5%were gram-negative.The prevalence of methicillin-resistant strains in Staphylococcus aureus,Staphylococcus epidermidis and other coagulase-negative Staphylococcus species(excluding Staphylococcus pseudintermedius and Staphylococcus schleiferi)was 28.3%,76.7%and 77.9%,respectively.Overall,94.0%of MRSA strains were susceptible to trimethoprim-sulfamethoxazole and 90.8%of MRSE strains were susceptible to rifampicin.No vancomycin-resistant strains were found.Enterococcus faecalis showed significantly lower resistance rates to most antimicrobial agents tested than Enterococcus faecium.A few vancomycin-resistant strains were identified in both E.faecalis and E.faecium.The prevalence of penicillin-susceptible Streptococcus pneumoniae was 94.2%in the isolates from children and 95.7%in the isolates from adults.The resistance rate to carbapenems was lower than 13.1%in most Enterobacterales species except for Klebsiella,21.7%-23.1%of which were resistant to carbapenems.Most Enterobacterales isolates were highly susceptible to tigecycline,colistin and polymyxin B,with resistance rates ranging from 0.1%to 13.3%.The prevalence of meropenem-resistant strains decreased from 23.5%in 2019 to 18.0%in 2022 in Pseudomonas aeruginosa,and decreased from 79.0%in 2019 to 72.5%in 2022 in Acinetobacter baumannii.Conclusions The resistance of clinical isolates to the commonly used antimicrobial agents is still increasing in tertiary hospitals.However,the prevalence of important carbapenem-resistant organisms such as carbapenem-resistant K.pneumoniae,P.aeruginosa,and A.baumannii showed a downward trend in recent years.This finding suggests that the strategy of combining antimicrobial resistance surveillance with multidisciplinary concerted action works well in curbing the spread of resistant bacteria.
7.Expert consensus on ethical requirements for artificial intelligence (AI) processing medical data.
Cong LI ; Xiao-Yan ZHANG ; Yun-Hong WU ; Xiao-Lei YANG ; Hua-Rong YU ; Hong-Bo JIN ; Ying-Bo LI ; Zhao-Hui ZHU ; Rui LIU ; Na LIU ; Yi XIE ; Lin-Li LYU ; Xin-Hong ZHU ; Hong TANG ; Hong-Fang LI ; Hong-Li LI ; Xiang-Jun ZENG ; Zai-Xing CHEN ; Xiao-Fang FAN ; Yan WANG ; Zhi-Juan WU ; Zun-Qiu WU ; Ya-Qun GUAN ; Ming-Ming XUE ; Bin LUO ; Ai-Mei WANG ; Xin-Wang YANG ; Ying YING ; Xiu-Hong YANG ; Xin-Zhong HUANG ; Ming-Fei LANG ; Shi-Min CHEN ; Huan-Huan ZHANG ; Zhong ZHANG ; Wu HUANG ; Guo-Biao XU ; Jia-Qi LIU ; Tao SONG ; Jing XIAO ; Yun-Long XIA ; You-Fei GUAN ; Liang ZHU
Acta Physiologica Sinica 2024;76(6):937-942
As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence*
;
Humans
;
Consensus
;
Computer Security/standards*
;
Confidentiality/ethics*
;
Informed Consent/ethics*
8.Cerebral toxoplasmosis after hematopoietic stem cell transplantation in two children with thalassemia.
Qun Qian NING ; Wen Qiang XIE ; Qiao Chuan LI ; Lian Jin LIU ; Zhong Ming ZHANG ; Ling Ling SHI ; Mei Qing WU ; Zw Yan SHI ; Zhong Qing LI ; Yong Rong LAI ; Mu Liang JIANG ; Mei Ai LIAO ; Rong Rong LIU
Chinese Journal of Pediatrics 2023;61(3):271-273
9.Epidemiological Survey of Hemoglobinopathies Based on Next-Generation Sequencing Platform in Hunan Province, China.
Hui XI ; Qin LIU ; Dong Hua XIE ; Xu ZHOU ; Wang Lan TANG ; De Guo TANG ; Chun Yan ZENG ; Qiong WANG ; Xing Hui NIE ; Jin Ping PENG ; Xiao Ya GAO ; Hong Liang WU ; Hao Qing ZHANG ; Li QIU ; Zong Hui FENG ; Shu Yuan WANG ; Shu Xiang ZHOU ; Jun HE ; Shi Hao ZHOU ; Fa Qun ZHOU ; Jun Qing ZHENG ; Shun Yao WANG ; Shi Ping CHEN ; Zhi Fen ZHENG ; Xiao Yuan MA ; Jun Qun FANG ; Chang Biao LIANG ; Hua WANG
Biomedical and Environmental Sciences 2023;36(2):127-134
OBJECTIVE:
This study was aimed at investigating the carrier rate of, and molecular variation in, α- and β-globin gene mutations in Hunan Province.
METHODS:
We recruited 25,946 individuals attending premarital screening from 42 districts and counties in all 14 cities of Hunan Province. Hematological screening was performed, and molecular parameters were assessed.
RESULTS:
The overall carrier rate of thalassemia was 7.1%, including 4.83% for α-thalassemia, 2.15% for β-thalassemia, and 0.12% for both α- and β-thalassemia. The highest carrier rate of thalassemia was in Yongzhou (14.57%). The most abundant genotype of α-thalassemia and β-thalassemia was -α 3.7/αα (50.23%) and β IVS-II-654/β N (28.23%), respectively. Four α-globin mutations [CD108 (ACC>AAC), CAP +29 (G>C), Hb Agrinio and Hb Cervantes] and six β-globin mutations [CAP +8 (C>T), IVS-II-848 (C>T), -56 (G>C), beta nt-77 (G>C), codon 20/21 (-TGGA) and Hb Knossos] had not previously been identified in China. Furthermore, this study provides the first report of the carrier rates of abnormal hemoglobin variants and α-globin triplication in Hunan Province, which were 0.49% and 1.99%, respectively.
CONCLUSION
Our study demonstrates the high complexity and diversity of thalassemia gene mutations in the Hunan population. The results should facilitate genetic counselling and the prevention of severe thalassemia in this region.
Humans
;
beta-Thalassemia/genetics*
;
alpha-Thalassemia/genetics*
;
Hemoglobinopathies/genetics*
;
China/epidemiology*
;
High-Throughput Nucleotide Sequencing
10.Comparison of Thyroglobulin and Thyroid Function in Pregnant Women between Counties with a Median Urinary Iodine Concentration of 100-149 µg/L and 150-249 µg/L.
Di Qun CHEN ; Ying YE ; Jia Ni WU ; Ying LAN ; Mu Hua WANG ; Xiao Yan WU ; Meng HE ; Li Jin WANG ; Xin Yi ZHENG ; Zhi Hui CHEN
Biomedical and Environmental Sciences 2023;36(10):917-929
OBJECTIVE:
This study explored whether thyroglobulin and thyroid disease prevalence rates were higher in pregnant Chinese women with a median urinary iodine concentration of 100-149 µg/L, compared with those with a median urinary iodine concentration of 150-249 μg/L maintained through sustainable universal salt iodization.
METHODS:
This was a cross-sectional study in which 812 healthy pregnant women were enrolled to collect samples of their household edible salt, urine, and blood during their routine antenatal care in the 18 counties in Fujian Province, China. The levels of salt iodine concentration, urinary iodine concentration (UIC), free triiodothyronine (FT3), free thyroid hormone (FT4), thyroid-stimulating hormone (TSH), thyroglobulin (Tg), thyroid peroxidase antibody and thyroglobulin antibody were assessed during the routine antenatal care visits.
RESULTS:
The median UIC (mUIC) in pregnant women was 130.8 μg/L (interquartile range = 91.5-198.1 μg/L) in the counties with an mUIC of 100-149 μg/L (Group I), and 172.0 μg/L (interquartile range = 123.5-244.4 μg/L) in the counties with an mUIC of 150-249 μg/L (Group II). Goiter prevalence and thyroid nodule detection rates showed no difference between Group I and Group II ( P > 0.05). Except for FT4 values, the TSH, FT4, FT3, Tg and Tg values > 40 (μg/L) and the thyroid diseases prevalence rate (TDR) showed no significant differences between Group I and Group II ( P > 0.05), whether or not iodine supplementation measures were taken.
CONCLUSION
Compared with an mUIC of 150-249 μg/L, not only there was no difference in thyroid morphology, but also the Tg value, rate of Tg values > 40 µg/L, and TDR were not higher in pregnant women in the counties with an mUIC of 100-149 μg/L achieved through sustainable universal salt iodization in Fujian Province, China.
Female
;
Humans
;
Pregnancy
;
Cross-Sectional Studies
;
Iodine/urine*
;
Pregnant Women
;
Sodium Chloride, Dietary
;
Thyroglobulin
;
Thyroid Gland
;
Thyrotropin
;
East Asian People

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