1.Synthesis and Identification of Saturated Arsenic-containing Hydrocarbons
Jia-Jia CHEN ; Ying-Xiong ZHONG ; Xin-Huang KANG ; Chun-Mei DENG ; Bing-Bing SONG ; Xiao-Fei LIU ; Zhuo WANG ; Rui LI ; Jian-Ping CHEN ; Xue-Jing JIA ; Sai-Yi ZHONG
Chinese Journal of Analytical Chemistry 2025;53(3):472-480
Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.
2.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
3.Expert Consensus on the Ethical Requirements for Generative AI-Assisted Academic Writing
You-Quan BU ; Yong-Fu CAO ; Zeng-Yi CHANG ; Hong-Yu CHEN ; Xiao-Wei CHEN ; Yuan-Yuan CHEN ; Zhu-Cheng CHEN ; Rui DENG ; Jie DING ; Zhong-Kai FAN ; Guo-Quan GAO ; Xu GAO ; Lan HU ; Xiao-Qing HU ; Hong-Ti JIA ; Ying KONG ; En-Min LI ; Ling LI ; Yu-Hua LI ; Jun-Rong LIU ; Zhi-Qiang LIU ; Ya-Ping LUO ; Xue-Mei LV ; Yan-Xi PEI ; Xiao-Zhong PENG ; Qi-Qun TANG ; You WAN ; Yong WANG ; Ming-Xu WANG ; Xian WANG ; Guang-Kuan XIE ; Jun XIE ; Xiao-Hua YAN ; Mei YIN ; Zhong-Shan YU ; Chun-Yan ZHOU ; Rui-Fang ZHU
Chinese Journal of Biochemistry and Molecular Biology 2025;41(6):826-832
With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.
4.Varicocele ligation with mobile phone microscope:Report of 5 cases and literature review
Yan-zhong LIU ; Chao LI ; Yu GAO ; Yu-zhu LI ; Run ZHU ; Xue-yuan XIANG ; Ying-na HU ; Xin MA ; Chun-yang WANG
National Journal of Andrology 2025;31(8):709-712
Objective:To investigate the feasibility of varicocele ligation with mobile phone microscope.Methods:The high-performance mobile phone and mobile phone stand were combined to act as a mobile phone microscope.And the varicocele ligation was performed under the mobile phone microscope.Results:All five patients successfully underwent varicocelectomy under the guidance of a mobile phone microscope.The average operation time was(112.8±52.2)with ranged from 74.0 to 195.0 minutes.Three pa-tients completed the follow-up after the operation with the proportion of improved sperm quality reaching 100.0%(3/3).Conclusion:High-performance mobile phone microscope can be used for varicocele ligation.
5.Pharmacokinetics of wogonin-aloperine cocrystal in rats
Zhong-shui XIE ; Chun-xue JIA ; Yu-lu LIANG ; Xiao-jun ZHAO ; Bin-ran LI ; Jing-zhong HAN ; Hong-juan WANG ; Jian-mei HUANG
Acta Pharmaceutica Sinica 2024;59(9):2606-2611
Pharmaceutical cocrystals is an advanced technology to improve the physicochemical and biological properties of drugs. However, there are few studies on the
6.Melatonin Ameliorates Abnormal Sleep-Wake Behavior via Facilitating Lipid Metabolism in a Zebrafish Model of Parkinson's Disease.
Meng-Zhu PANG ; Han-Xing LI ; Xue-Qin DAI ; Xiao-Bo WANG ; Jun-Yi LIU ; Yun SHEN ; Xing XU ; Zhao-Min ZHONG ; Han WANG ; Chun-Feng LIU ; Fen WANG
Neuroscience Bulletin 2024;40(12):1901-1914
Sleep-wake disorder is one of the most common nonmotor symptoms of Parkinson's disease (PD). Melatonin has the potential to improve sleep-wake disorder, but its mechanism of action is still unclear. Our data showed that melatonin only improved the motor and sleep-wake behavior of a zebrafish PD model when melatonin receptor 1 was present. Thus, we explored the underlying mechanisms by applying a rotenone model. After the PD zebrafish model was induced by 10 nmol/L rotenone, the motor and sleep-wake behavior were assessed. In situ hybridization and real-time quantitative PCR were used to detect the expression of melatonin receptors and lipid-metabolism-related genes. In the PD model, we found abnormal lipid metabolism, which was reversed by melatonin. This may be one of the main pathways for improving PD sleep-wake disorder.
Animals
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Zebrafish
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Melatonin/pharmacology*
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Lipid Metabolism/drug effects*
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Disease Models, Animal
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Rotenone/pharmacology*
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Sleep Wake Disorders/metabolism*
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Parkinson Disease/metabolism*
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Motor Activity/drug effects*
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Sleep/drug effects*
7.A multi-center epidemiological study on pneumococcal meningitis in children from 2019 to 2020
Cai-Yun WANG ; Hong-Mei XU ; Gang LIU ; Jing LIU ; Hui YU ; Bi-Quan CHEN ; Guo ZHENG ; Min SHU ; Li-Jun DU ; Zhi-Wei XU ; Li-Su HUANG ; Hai-Bo LI ; Dong WANG ; Song-Ting BAI ; Qing-Wen SHAN ; Chun-Hui ZHU ; Jian-Mei TIAN ; Jian-Hua HAO ; Ai-Wei LIN ; Dao-Jiong LIN ; Jin-Zhun WU ; Xin-Hua ZHANG ; Qing CAO ; Zhong-Bin TAO ; Yuan CHEN ; Guo-Long ZHU ; Ping XUE ; Zheng-Zhen TANG ; Xue-Wen SU ; Zheng-Hai QU ; Shi-Yong ZHAO ; Lin PANG ; Hui-Ling DENG ; Sai-Nan SHU ; Ying-Hu CHEN
Chinese Journal of Contemporary Pediatrics 2024;26(2):131-138
Objective To investigate the clinical characteristics and prognosis of pneumococcal meningitis(PM),and drug sensitivity of Streptococcus pneumoniae(SP)isolates in Chinese children.Methods A retrospective analysis was conducted on clinical information,laboratory data,and microbiological data of 160 hospitalized children under 15 years old with PM from January 2019 to December 2020 in 33 tertiary hospitals across the country.Results Among the 160 children with PM,there were 103 males and 57 females.The age ranged from 15 days to 15 years,with 109 cases(68.1% )aged 3 months to under 3 years.SP strains were isolated from 95 cases(59.4% )in cerebrospinal fluid cultures and from 57 cases(35.6% )in blood cultures.The positive rates of SP detection by cerebrospinal fluid metagenomic next-generation sequencing and cerebrospinal fluid SP antigen testing were 40% (35/87)and 27% (21/78),respectively.Fifty-five cases(34.4% )had one or more risk factors for purulent meningitis,113 cases(70.6% )had one or more extra-cranial infectious foci,and 18 cases(11.3% )had underlying diseases.The most common clinical symptoms were fever(147 cases,91.9% ),followed by lethargy(98 cases,61.3% )and vomiting(61 cases,38.1% ).Sixty-nine cases(43.1% )experienced intracranial complications during hospitalization,with subdural effusion and/or empyema being the most common complication[43 cases(26.9% )],followed by hydrocephalus in 24 cases(15.0% ),brain abscess in 23 cases(14.4% ),and cerebral hemorrhage in 8 cases(5.0% ).Subdural effusion and/or empyema and hydrocephalus mainly occurred in children under 1 year old,with rates of 91% (39/43)and 83% (20/24),respectively.SP strains exhibited complete sensitivity to vancomycin(100% ,75/75),linezolid(100% ,56/56),and meropenem(100% ,6/6).High sensitivity rates were also observed for levofloxacin(81% ,22/27),moxifloxacin(82% ,14/17),rifampicin(96% ,25/26),and chloramphenicol(91% ,21/23).However,low sensitivity rates were found for penicillin(16% ,11/68)and clindamycin(6% ,1/17),and SP strains were completely resistant to erythromycin(100% ,31/31).The rates of discharge with cure and improvement were 22.5% (36/160)and 66.2% (106/160),respectively,while 18 cases(11.3% )had adverse outcomes.Conclusions Pediatric PM is more common in children aged 3 months to under 3 years.Intracranial complications are more frequently observed in children under 1 year old.Fever is the most common clinical manifestation of PM,and subdural effusion/emphysema and hydrocephalus are the most frequent complications.Non-culture detection methods for cerebrospinal fluid can improve pathogen detection rates.Adverse outcomes can be noted in more than 10% of PM cases.SP strains are high sensitivity to vancomycin,linezolid,meropenem,levofloxacin,moxifloxacin,rifampicin,and chloramphenicol.[Chinese Journal of Contemporary Pediatrics,2024,26(2):131-138]
8.Determination of concentration and pharmacokinetics of 3-demethylcolchicine in rat plasma by HPLC
Lan-jun CHEN ; Chun-xue ZHAO ; Ni HAN ; Lian ZHONG ; Yue-sheng XIE
The Chinese Journal of Clinical Pharmacology 2024;40(24):3626-3630
Objective To establish a method based on high performance liquid chromatography for the determination of 3-demethylcolchicine(3 DMC)in rat plasma and to study its pharmacokinetic behavior in rats.Methods The concentration of 3 DMC in rat plasma was determined by high performance liquid chromatography(HPLC).Plasma samples were precipitated by acetonitrile and supernatant was centrifuged for analysis.The determination conditions were as follows:The chromatography was performed on Alphasil VC-C18 column(4.6 mm × 150.0 mm,5.0 μm)with mobile phase consisted of water-acetonitrile-methanol(79∶16∶5),iso-elution at the flow rate of 0.8 mL·min-1.The detection wavelength was set at 240 nm,with polydacryin as the internal standard.The specificity,standard curve and lower limit of quantitation,precision and recovery,matrix effect and stability of the method were investigated.The rats were randomly divided into low,medium and high dose groups(1,2 and 4 mg·kg-1 3DMC were injected into the tail vein,respectively),and blood was collected from orbital venous plexus.The concentration of 3DMC in plasma samples was measured;the pharmacokinetic parameters were calculated using Drug And Statistics(DAS)2.0.Results 3DMC has a good linear relationship between 0.39 and 25.00 μg·mL-1,and its standard curve is y=5.96 × 10-2x+7.60 × 10-3(r=0.999 5).The lower limit of quantitation was 0.39 μg·mL-1,the intra-day and inter-day relative standard deviations were-5.08%to 0.75%,the recovery was 93.23%to 108.90%,the matrix effect was 94.88%to 104.00%,and the stability relative standard deviation(RSD)was less than 8.72%.All the results met the requirements.Pharmacokinetic parameters of low,medium and high dose groups:Cmax were(1.66±0.24),(4.36±0.78)and(9.73±1.42)mg·L-1,respectively;t1/2 were(0.31±0.02),(0.32±0.11)and(0.48±0.06)h,respectively;AUC0-t were(0.50±0.09),(1.53±0.16)and(2.67±0.11)mg·L-1·h,respectively.Conclusion The established method for the determination of 3DMC concentration in rat plasma is simple,specific and sensitive,and is suitable for the determination of 3DMC concentration and pharmacokinetic study in rat plasma.
9.Distribution and antimicrobial resistance profiles of clinical isolates from blood samples:results from China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021
Min ZHONG ; Xiangning HUANG ; Hua YU ; Yang YANG ; Fupin HU ; Demei ZHU ; Yi XIE ; Mei KANG ; Shanmei WANG ; Yafei CHU ; Wenen LIU ; Yanming LI ; Dawen GUO ; Jinying ZHAO ; Yuanhong XU ; Ying HUANG ; Yunzhuo CHU ; Sufei TIAN ; Ziyong SUN ; Zhongju CHEN ; Yunsong YU ; Jie LIN ; Jihong LI ; Yingchun XU ; Xiaojiang ZHANG ; Hui LI ; Ping JI ; Fang DONG ; Zhiyong LÜ ; Han SHEN ; Wanqing ZHOU ; Sufang GUO ; Zhidong HU ; Jin LI ; Chuanqing WANG ; Pan FU ; Hong ZHANG ; Chun WANG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Lixia ZHANG ; Juan MA ; Yuxing NI ; Jingyong SUN ; Jinju DUAN ; Jianbang KANG ; Yan JIN ; Chunhong SHAO ; Wei JIA ; Gang LI ; Xuesong XU ; Chao YAN ; Yunjian HU ; Xiaoman AI ; Jinsong WU ; Yuemei LU ; Fangfang HU ; Lianhua WEI ; Fengmei ZOU ; Lei ZHU ; Jinhua MENG ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Xiaobo MA ; Yanping ZHENG ; Kaizhen WEN ; Yirong ZHANG ; Yunsheng CHEN ; Qing MENG ; Xuefei HU ; Ruizhong WANG ; Hua FANG ; Ruyi GUO ; Yan ZHU ; Jilu SHEN ; Wenhui HUANG ; Bixia YU ; Jiao FENG ; Yong ZHAO ; Ping GONG ; Shunhong XUE ; Hongqin GU ; Wen HE ; Jiangshan LIU ; Chunlei YUE ; Longfeng LIAO ; Lin JIANG
Chinese Journal of Infection and Chemotherapy 2024;24(6):664-677
Objective To investigate the distribution and antimicrobial resistance of bacterial isolates from blood samples in the hospitals participating in China Antimicrobial Surveillance Network (CHINET) from 2015 to 2021.Methods Bacterial strains isolated from blood samples were collected from 52 medical centers participating in CHINET from 2015 to 2021 for analysis of bacetrial distribution and antimicrobial resistance.Results A total of 153591 isolates were collected,48.8% of which were gram-positive bacteria and 51.2% were gram-negative bacteria.The top five bacterial strains were coagulase negative Staphylococcus (28.2%),Escherichia coli (20.7%),Klebsiella (13.7%),Enterococcus (7.2%),and Staphylococcus aureus (6.6%).Compard to female patients,male patients showed lower proportion of E.coli and higher proportions of other bacterial species in all the bacterial isolaets from blood samples.The proportions of Streptococcus pneumoniae and Salmonella in all the bacterial isolaets from blood samples were higher in children compared to adults.Enterobacterales species showed various resistance rates to antimicrobial agents.Overall,≥58.0%,≥36.8% and ≥56.8% of E.coli strains were resistant to cefotaxime,gentamicin and levofloxacin respectively over the 7-year period.However,less than 2.5% of the E.coli strains were resistant to carbapenems.K.pneumoniae showed higher resistance rates to imipenem and meropenem than other Enterobacterales species.During the 7-year period,the prevalence of imipenem-resistant and meropenem-resistant K.pneumoniae increased from 21.4% and 19.9% in 2015 to 25.7% and 26.6% in 2021,respectively.However,carbapenems still maintained good antibacterial activity against other Enterobacterales,associaetd with lower resistance rates.In the 7-year period,Acinetobacter baumannii showed a dwonward trend in the resistance rates to imipenem and meropenem,but remained 72.9% and 73.2% respectively in 2021.The prevalence of imipenem-resistant and meropenem-resistant P.aeruginosa decreased from 26.7% and 22.9% in 2015 to 18.5% and 14.7% in 2021,respectively.The prevalence of PRSP was 1.5% in the isolaets from adults and and 0.8% in the isolates from children.Less than 3.0% of the Enterococcus faecium and Enterococcus faecalis strains were resistant to vancomycin,teicolanin,or linezolid.The prevalence of methicillin-resistant S.aureus (MRSA) and coagulase negative Staphylococcus (MRCNS) was 32.1% and 81.0%,respectively.The prevalence of MRSA was relatively stable,28.5% in 2015 and 28.0% in 2021.Conclusions Coagulase negative Staphylococcus,E.coli and K.pneumoniae were the main bacterial species isolated from blood samples in the hospitals participaing in the CHINET from 2015 to 2021.Significant sex and age differences were found in the distribution of bcterial isolates from blood samples.The overall resistance rates of the top bacetrial strains from blood samples to antimicrobial agents showed a downward trend.Ongoing surveillance of antimicrobial resistance for the isolates from blood samples is still essential for prescribing rational antimicrobial therapies and curbing bacterial resistance.
10.Determination of concentration and pharmacokinetics of 3-demethylcolchicine in rat plasma by HPLC
Lan-jun CHEN ; Chun-xue ZHAO ; Ni HAN ; Lian ZHONG ; Yue-sheng XIE
The Chinese Journal of Clinical Pharmacology 2024;40(24):3626-3630
Objective To establish a method based on high performance liquid chromatography for the determination of 3-demethylcolchicine(3 DMC)in rat plasma and to study its pharmacokinetic behavior in rats.Methods The concentration of 3 DMC in rat plasma was determined by high performance liquid chromatography(HPLC).Plasma samples were precipitated by acetonitrile and supernatant was centrifuged for analysis.The determination conditions were as follows:The chromatography was performed on Alphasil VC-C18 column(4.6 mm × 150.0 mm,5.0 μm)with mobile phase consisted of water-acetonitrile-methanol(79∶16∶5),iso-elution at the flow rate of 0.8 mL·min-1.The detection wavelength was set at 240 nm,with polydacryin as the internal standard.The specificity,standard curve and lower limit of quantitation,precision and recovery,matrix effect and stability of the method were investigated.The rats were randomly divided into low,medium and high dose groups(1,2 and 4 mg·kg-1 3DMC were injected into the tail vein,respectively),and blood was collected from orbital venous plexus.The concentration of 3DMC in plasma samples was measured;the pharmacokinetic parameters were calculated using Drug And Statistics(DAS)2.0.Results 3DMC has a good linear relationship between 0.39 and 25.00 μg·mL-1,and its standard curve is y=5.96 × 10-2x+7.60 × 10-3(r=0.999 5).The lower limit of quantitation was 0.39 μg·mL-1,the intra-day and inter-day relative standard deviations were-5.08%to 0.75%,the recovery was 93.23%to 108.90%,the matrix effect was 94.88%to 104.00%,and the stability relative standard deviation(RSD)was less than 8.72%.All the results met the requirements.Pharmacokinetic parameters of low,medium and high dose groups:Cmax were(1.66±0.24),(4.36±0.78)and(9.73±1.42)mg·L-1,respectively;t1/2 were(0.31±0.02),(0.32±0.11)and(0.48±0.06)h,respectively;AUC0-t were(0.50±0.09),(1.53±0.16)and(2.67±0.11)mg·L-1·h,respectively.Conclusion The established method for the determination of 3DMC concentration in rat plasma is simple,specific and sensitive,and is suitable for the determination of 3DMC concentration and pharmacokinetic study in rat plasma.

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