1.The"Window Effect"Study on the Effect of 1800 MHz Electromagnetic Radiation Irradiation on GFAP Expression in the Hippocampus of Rats
Xiaoshuang XU ; Qing XIONG ; Yuan ZHANG ; Huixin WU ; Limei HE ; Yunzhen MU
Journal of Kunming Medical University 2024;45(3):30-34
Objective To investigate the effect of electromagnetic wave power density on the expression of glial fibrillary acidic protein(GFAP)in the hippocampus of SD rats under 1800 MHz electromagnetic wave irradiation,and whether it exhibits a"window effect".Methods Ninety-eight 4-week-old SPF-grade SD rats were randomly divided into 14 groups,with 7 rats in each group.Seven groups were exposed groups(frequency:1800 MHz,power densities:0.1 mW/cm2,0.3 mW/cm2,0.5 mW/cm2,0.7 mW/cm2,0.9 mW/cm2,1.0 mW/cm2,1.2 mW/cm2)and corresponding 7 groups were control groups(power density:0 mW/cm2).Exposure was conducted for 12 hours daily for 3 weeks.After exposure,Western Blot was used to detect the expression level of GFAP in the hippocampal tissue,and immunohistochemistry staining was performed to determine the average optical density(MOD)value of GFAP-positive expression products in the DG,CA3,and CA1 regions of the hippocampal tissue,to determine the power density window of GFAP expression in the hippocampus of SD rats under 1800 MHz exposure.Results At power densities of 0.1 mW/cm2 and 0.3 mW/cm2,Western Blot results showed increased expression of GFAP in the rat hippocampus(P<0.05),and immunohistochemistry staining demonstrated increased MOD values of GFAP in the three regions(P<0.05).Conclusion Long-term exposure to 1800 MHz elect-romagnetic radiation has a"window effect"on the expression of GFAP in the DG,CA3,and CA1 regions of the hippocampus in SD rats,with power density windows of 0.1 mW/cm2 and 0.3 mW/cm2.
2.REDH: A database of RNA editome in hematopoietic differentiation and malignancy
Jiayue XU ; Jiahuan HE ; Jiabin YANG ; Fengjiao WANG ; Yue HUO ; Yuehong GUO ; Yanmin SI ; Yufeng GAO ; Fang WANG ; Hui CHENG ; Tao CHENG ; Jia YU ; Xiaoshuang WANG ; Yanni MA
Chinese Medical Journal 2024;137(3):283-293
Background::The conversion of adenosine (A) to inosine (I) through deamination is the prevailing form of RNA editing, impacting numerous nuclear and cytoplasmic transcripts across various eukaryotic species. Millions of high-confidence RNA editing sites have been identified and integrated into various RNA databases, providing a convenient platform for the rapid identification of key drivers of cancer and potential therapeutic targets. However, the available database for integration of RNA editing in hematopoietic cells and hematopoietic malignancies is still lacking.Methods::We downloaded RNA sequencing (RNA-seq) data of 29 leukemia patients and 19 healthy donors from National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database, and RNA-seq data of 12 mouse hematopoietic cell populations obtained from our previous research were also used. We performed sequence alignment, identified RNA editing sites, and obtained characteristic editing sites related to normal hematopoietic development and abnormal editing sites associated with hematologic diseases.Results::We established a new database, "REDH", represents RNA editome in hematopoietic differentiation and malignancy. REDH is a curated database of associations between RNA editome and hematopoiesis. REDH integrates 30,796 editing sites from 12 murine adult hematopoietic cell populations and systematically characterizes more than 400,000 edited events in malignant hematopoietic samples from 48 cohorts (human). Through the Differentiation, Disease, Enrichment, and knowledge modules, each A-to-I editing site is systematically integrated, including its distribution throughout the genome, its clinical information (human sample), and functional editing sites under physiological and pathological conditions. Furthermore, REDH compares the similarities and differences of editing sites between different hematologic malignancies and healthy control.Conclusions::REDH is accessible at http://www.redhdatabase.com/. This user-friendly database would aid in understanding the mechanisms of RNA editing in hematopoietic differentiation and malignancies. It provides a set of data related to the maintenance of hematopoietic homeostasis and identifying potential therapeutic targets in malignancies.
3.Effect of external mechanical forces on the crystallographic solid form and dissolution rate of traditional Chinese medicine extracts——taking Ligustrum lucidum extract as an example
Linlin LIANG ; Zhiwei WANG ; Xiaoshuang HE ; Weili HENG ; Shuai QIAN ; Yuan GAO ; Jianjun ZHANG ; Yuanfeng WEI
Journal of China Pharmaceutical University 2024;55(6):767-774
Taking the Ligustrum lucidum extract as an example, this study investigated the influence of external mechanical forces under different processing conditions on the crystallographic solid form and the key parameter of drug dissolution rate, so as to provide guidance for the preparation and quality control of traditional Chinese medicine preparations. Under different pulverization and tableting conditions, the change of crystallographic solid form of L. lucidum extract was observed by polarizing light microscope. Meanwhile, the effect of this change on the dissolution rate was investigated, and the mathematical relationship between crystal content and dissolution rate was analyzed. The results showed that the process of ball milling and tableting had a significant impact on the crystallographic solid form of L. lucidum extract. The amorphous extract displayed crystal transformation, which induced a significant decline in dissolution rate. Further studies revealed that there was a negative linear relationship between crystal content and dissolution rate. The results of this study indicated that the crystallographic solid form transformation of traditional Chinese medicine extracts might occur during the preparation process, which may cause potential risks to the quality of traditional Chinese medicine preparations. It is suggested that we should pay attention to and strengthen the investigation of the crystallographic solid form during the preparation process, so as to guarantee the safety, effectiveness, and quality controllability of traditional Chinese medicine preparations.
4.Crystallization transformation of amorphous extracts of traditional Chinese medicine and its effect on dissolution behavior — Taking total flavonoids from Pueraria lobata as an example
Yili ZHAO ; Linlin LIANG ; Xiaoshuang HE ; Weili HENG ; Zunting PANG ; Shuai QIAN ; Yuan GAO ; Jianjun ZHANG ; Yuanfeng WEI
Journal of China Pharmaceutical University 2023;54(1):68-76
In order to guarantee the quality of traditional Chinese medicines (TCMs), the crystallization transformation of complex extracts of TCMs and the influence of solid form on their physicochemical properties were studied.The extract of total flavonoids from Pueraria lobata was taken as a model.Crystallization transformation happened when lofting under different conditions, and the intrinsic dissolution tests were carried out.It was found that humidity was the key factor to induce crystallization of total flavonoids from Pueraria lobata.The greater the wettability was, the more the crystallization was.The dissolution rate of total flavonoids from Pueraria lobata with the most crystallization amount significantly decreased by 96.51% compared to the sample without crystallization.After further simulating the preparation process of total flavonoids from Pueraria lobata, it was found that the wet granulation process with introduced water would also lead to crystallization and reduced dissolution rate.As for all crystallization samples, there was an inversely proportional relationship between the dissolution rates and the amount of crystallization.The risk of crystallization existed both in the storage and preparation process of TCM extracts.Crystallization would significantly affect the dissolution rate, and thus the quality of TCM products.In this study, the crystallization transformation of amorphous complex TCM extracts was discovered, and the effect of the crystallization transformation on its dissolution behavior was systematically studied, which provides a new research idea for assuring the quality of TCM products and promoting the improvement of TCM preparation level.
5.Clinical phenotypic characteristics and follow-up of 26 children with progressive familial intrahepatic cholestasis
Xiaoshuang CUI ; Qiang HE ; Jing ZHANG ; Dongdan LI ; Xiaolin YE ; Xiaolu NIE ; Chunna ZHAO ; Xiwei XU
Chinese Pediatric Emergency Medicine 2023;30(10):756-760
Objective:To investigate the clinical phenotype and prognosis among different genotypes of progressive familial intrahepatic cholestasis(PFIC) by cases analysis.Methods:The PFIC cases diagnosed at Beijing Children′s Hospital from 2015 to 2022 were collected, and the clinical phenotypic characteristics, treatment and prognosis were compared and analyzed.Results:A total of 628 cases of cholestatic liver disease were diagnosed, and 26 cases of PFIC were found, accounting for 4.1%.The number of PFIC 2 were the most, 14(53.8%)cases; three(11.5%) cases were PFIC 1; five(19.2%)cases were PFIC 3; while two(7.7%) cases were PFIC 4 and PFIC 6, respectively, and there was no case of PFIC 5.Type 1, 2, 4, and 6 had early onset ages(2 days to 21 months), while type 3 had a wide range of onset ages(8 to 145 months). The symptoms included jaundice(96.2%), pruritus(42.3%), and mucosal bleeding(15.4%). All three cases of type 1 had extrahepatic manifestations of diarrhea and malnutrition.Two cases of type 3 were found to have end-stage liver disease.Cases of PFIC 3 had increased serum γ-glutamyltransferase(97.2-439.5 U/L), while those of other types were normal.The bile acids were all increased(10.1-599.6 μmol/L). Abdominal ultrasound mainly showed liver enlargement(80.8%)and enhanced echogenicity of liver parenchyma(73.1%), enlargement of the spleen(61.5%). Ultrasound liver elastography ranged from 6.3 kPa to 23.1 kPa, there were 21(80.8%) cases ≥9 kPa.Among 26 cases, one case was lost to follow-up, and 11 cases were effective by oral medication alone.Fourteen children were still suffering from relapse or progress after drug treatment: four cases received liver transplantation (three cases had a good prognosis and one case died), two cases received biliary drainage, six cases were still taking drugs orally, and two cases died without active intervention in disease progress.Conclusion:Type 2 is the most common type in PFIC.The onset of most cases is in infancy.Jaundice, pruritus and hepatosplenomegaly are common clinical manifestations, and extrahepatic manifestations can be seen in type 1 cases.Type 3 cases can start with end-stage liver disease.Bile acid of all cases are increased.Except for type 3, the serum γ-glutamyltransferase of cases are normal.Oral medication has certain effects on some cases, but more than half progress, and some need biliary diversion or liver transplantation.
6.Metabolic syndrome components and breast cancer risk in Chinese females: a population based prospective study
Xinyang YU ; Xin LI ; Yan WEN ; Zhuoyu YANG ; Yadi ZHENG ; Xiaoshuang FENG ; Zhangyan LYU ; Ni LI ; Jie HE
Chinese Journal of Preventive Medicine 2021;55(3):359-364
Objective:To investigate the relationship between metabolic syndrome (MS) and the risk of breast cancer in Chinese females.Methods:From May 2006 to December 2015, based on the Kailuan Women′s Dynamic Cohort,a total of 25 618 female employees and retirees of the Kailuan Group were included and followed. Questionnaire surveys, physical measurements and laboratory tests were used to collect baseline sociodemographic characteristics, height, weight, blood glucose, blood lipids, blood pressure, tumor incidence and outcome information. Cox proportional hazards regression models were used to analyze the relationship between MS and its components (body mass index, blood pressure, blood glucose and blood lipid) and the risk of breast cancer in females.Results:The age of 25 618 women was (47.65±12.02) years old and median follow-up time was 8.78 years; 235 new cases of breast cancer were detected, and the incidence density was 113.19/100 000 person-years. After adjusting for age, education, income, smoking status, drinking status and other factors, people who were overweight or obese had a higher risk of breast cancer, with HR (95% CI) about 1.47 (1.12-1.93), than those with normal body mass index. Compared with those without MS abnormal components, women with two MS abnormal components had an increased risk of breast cancer ( HR=1.70, 95% CI: 1.16-2.50). With the increase of the number of MS abnormal components, the risk of breast cancer increased gradually ( Ptrend value<0.05). Conclusion:Overweight/obesity and the number of abnormal components of MS can increase the risk of breast cancer in women.
7.Metabolic syndrome components and breast cancer risk in Chinese females: a population based prospective study
Xinyang YU ; Xin LI ; Yan WEN ; Zhuoyu YANG ; Yadi ZHENG ; Xiaoshuang FENG ; Zhangyan LYU ; Ni LI ; Jie HE
Chinese Journal of Preventive Medicine 2021;55(3):359-364
Objective:To investigate the relationship between metabolic syndrome (MS) and the risk of breast cancer in Chinese females.Methods:From May 2006 to December 2015, based on the Kailuan Women′s Dynamic Cohort,a total of 25 618 female employees and retirees of the Kailuan Group were included and followed. Questionnaire surveys, physical measurements and laboratory tests were used to collect baseline sociodemographic characteristics, height, weight, blood glucose, blood lipids, blood pressure, tumor incidence and outcome information. Cox proportional hazards regression models were used to analyze the relationship between MS and its components (body mass index, blood pressure, blood glucose and blood lipid) and the risk of breast cancer in females.Results:The age of 25 618 women was (47.65±12.02) years old and median follow-up time was 8.78 years; 235 new cases of breast cancer were detected, and the incidence density was 113.19/100 000 person-years. After adjusting for age, education, income, smoking status, drinking status and other factors, people who were overweight or obese had a higher risk of breast cancer, with HR (95% CI) about 1.47 (1.12-1.93), than those with normal body mass index. Compared with those without MS abnormal components, women with two MS abnormal components had an increased risk of breast cancer ( HR=1.70, 95% CI: 1.16-2.50). With the increase of the number of MS abnormal components, the risk of breast cancer increased gradually ( Ptrend value<0.05). Conclusion:Overweight/obesity and the number of abnormal components of MS can increase the risk of breast cancer in women.
8.The development and validation of risk prediction model for lung cancer: a systematic review
Zhangyan LYU ; Fengwei TAN ; Chunqing LIN ; Jiang LI ; Yalong WANG ; Hongda CHEN ; Jiansong REN ; Jufang SHI ; Xiaoshuang FENG ; Luopei WEI ; Xin LI ; Yan WEN ; Wanqing CHEN ; Min DAI ; Ni LI ; Jie HE
Chinese Journal of Preventive Medicine 2020;54(4):430-437
Objective:To systematically understand the global research progress in the construction and validation of lung cancer risk prediction models.Methods:"lung neoplasms" , "lung cancer" , "lung carcinoma" , "lung tumor" , "risk" , "malignancy" , "carcinogenesis" , "prediction" , "assessment" , "model" , "tool" , "score" , "paradigm" , and "algorithm" were used as search keywords. Original articles were systematically searched from Chinese databases (CNKI, and Wanfang) and English databases (PubMed, Embase, Cochrane, and Web of Science) published prior to December 2018. The language of studies was restricted to Chinese and English. The inclusion criteria were human oriented studies with complete information for model development, validation and evaluation. The exclusion criteria were informal publications such as conference abstracts, Chinese dissertation papers, and research materials such as reviews, letters, and news reports. A total of 33 papers involving 27 models were included. The population characteristics of all included studies, study design, predicting factors and the performance of models were analyzed and compared.Results:Among 27 models, the number of American-based, European-based and Asian-based model studies was 12, 6 and 9, respectively. In addition, there were 6 Chinese-based model studies. According to the factors fitted into the models, these studies could be divided into traditional epidemiological models (11 studies), clinical index models (6 studies), and genetic index models (10 studies). 15 models were not validated after construction or were cross-validated only in the internal population, and the extrapolation effect of models was not effectively evaluated; 8 models were validated in single external population; only 4 models were verified in multiple external populations (3-7); the area under the curve (AUC) of models ranged from 0.57 to 0.90.Conclusion:Research on risk prediction models for lung cancer is in development stage. In addition to the lack of external validation of existing models, the exploration of potential clinical indicators was also limited.
9.Metabolic syndrome components and renal cell cancer risk in Chinese males: a population-based prospective study
Xin LI ; Ni LI ; Yan WEN ; Zhangyan LYU ; Xiaoshuang FENG ; Luopei WEI ; Yuheng CHEN ; Hongda CHEN ; Gang WANG ; Shuohua CHEN ; Jiansong REN ; Jufang SHI ; Hong CUI ; Shouling WU ; Min DAI ; Jie HE
Chinese Journal of Preventive Medicine 2020;54(6):638-643
Objective:To investigate the association between metabolic syndrome (MS) components and renal cell cancer in Chinese males.Methods:All male employees and retirees of the Kailuan Group were recruited in the Chinese Kailuan Male Cohort Study. They had been experienced routine physical examinations ever two years since May 2006. A total of 104 274 males were prospectively observed by 31 December 2015. Information on demographics, height, weight, blood glucose, blood lipid, blood pressure, as well as the information of incident renal cell cancer cases were collected at the baseline investigation by questionnaire, physical measurement and laboratory test. Cox proportional hazards regression models were used to evaluate the association between baseline MS and MS components (body mass index, blood glucose, blood lipid, blood pressure) and the risk of renal cell cancer in males.Results:A total of 104 274 males were recruited in our study with a age of (51.21±13.46) years, with 823 892.96 person-years follow-up and the median follow-up time was 8.88 years. A total of 131 new renal cell cancer cases were identified in the Kailuan male cohort study, and the crude incidence density was 15.90 per 100,000 person-years. Compared with no MS, the hazard ratios ( HR) (95% CI) of MS was 1.97 (1.32-2.94).When compared with normal level, the HR (95% CI) of obesity or overweight, hypertension, and dyslipidemia was 1.49 (1.04-2.14), 1.56 (1.06-2.29), and 1.77(1.23-2.54), after adjusting for potential confounding factors (i.e., age, education, income, smoke, and alcohol drink), respectively. In addition, a statistically significant trend ( P for trend<0.001) of increased renal cell cancer risk with an increasing number of abnormal MS components was observed. Conclusion:Obesity or overweight, hypertension, dyslipidemia and MS may increase the risk of renal cell cancer for Chinese males.
10.Exploratory research on developing lung cancer risk prediction model in female non-smokers
Zhangyan LYU ; Ni LI ; Shuohua CHEN ; Gang WANG ; Fengwei TAN ; Xiaoshuang FENG ; Xin LI ; Yan WEN ; Zhuoyu YANG ; Yalong WANG ; Jiang LI ; Hongda CHEN ; Chunqing LIN ; Jiansong REN ; Jufang SHI ; Shouling WU ; Min DAI ; Jie HE
Chinese Journal of Preventive Medicine 2020;54(11):1261-1267
Objective:To develop a lung cancer risk prediction model for female non-smokers.Methods:Based on the Kailuan prospective dynamic cohort (2006.05-2015.12), a nested case-control study was conducted. Participants diagnosed with primary pathologically confirmed lung cancer during follow-up were identified as the case group, and others were identified as the control group. A total of 24 701 subjects were included in the study, including 86 lung cancer cases and 24 615 control population, respectively. Questionnaires, physical examinations, and laboratory tests were conducted to collect relevant information. Multivariable-adjusted logistic regressions were conducted to develop a lung cancer risk prediction model. Area Under the Curve (AUC) and Hosmer-Lemeshow tests were used to evaluate discrimination and calibration, respectively. Ten-fold cross-validation was used for internal validation.Results:Two sets of models were developed: the simple model (including age and monthly income) and the metabolic index model [including age, monthly income, fasting blood glucose (FBG), total cholesterol (TC) and high-density lipoprotein cholesterol (HDL-C)].The AUC (95%CI) [0.745 (0.719-0.771)] of the metabolic index model was higher than that of the simple prediction model [0.688 (0.660-0.716)] ( P=0.004). Both the simple model ( PHL=0.287) and the metabolic index model ( PHL=0.134) were well-calibrated. The results of ten-fold cross-validation indicated sufficient stability, with an average AUC of 0.699 and a standard error (SD) of 0.010. Conclusion:By incorporating metabolic markers, accurate and reliable lung cancer risk prediction model for female non smokers could be developed.

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