1.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.
2.Construction and application of a non-drug intervention program for acute chemotherapy-related nausea and vomiting in children with cancer
Luyan YU ; Ying ZHOU ; Jiajie FAN ; Qian WU ; Xiaoyi CHU ; Tujun SHENG ; Xi ZHANG ; Guannan BAI ; Nan LIN ; Jihua ZHU
Chinese Journal of Nursing 2024;59(18):2181-2188
Objective To construct a non-drug intervention program for acute chemotherapy-related nausea and vomiting in children with cancer and to evaluate its efficacy.Methods Through literature review and Delphi expert correspondence,a non-drug intervention program for acute chemotherapy-related nausea and vomiting in children with cancer was constructed.By the convenience sampling method,200 consecutive children who received chemotherapy in the neurosurgery department of a tertiary children's hospital in Zhejiang province from February 1 to October 31,2023 were included as the application subjects,with 100 cases in an experimental group and 100 cases in a control group.The experimental group applied the non-drug intervention program of acute chemotherapy-related nausea and vomiting in children with cancer,and the routine measures were applied in the control group.The incidence of nausea and vomiting,severity of vomiting,compliance rate of normal sleep duration and incidence of negative emotions were compared between the 2 groups.Results The recovery rate of the valid questionnaire in 2 rounds of expert letter inquiry was 100%,and the expert authority coefficient was 0.836.The Kendall harmony coefficients were 0.471 and 0.820(P<0.001),and the final non-drug intervention program for pediatric acute chemotherapy-related nausea and vomiting included 5 primary,14 secondary and 18 tertiary items.The results showed that the incidence of nausea,vomiting and negative emotions in the experimental group were lower than that in the control group,with statistically significant differences(P<0.05).The severity of vomiting was less than it in the control group,with statistically significant difference(P<0.05).The standard rate of normal sleep time was higher than that of the control group,and the difference was statistically significant(all P<0.05).Conclusion The non-drug intervention program of chemotherapy-related nausea and vomiting in children is scientific and feasible,and the implementation of the program can reduce the incidence of nausea,vomiting and negative emotions,reduce the severity of vomiting,and improve the standard rate of normal bedtime in children.
3.Artificial intelligence predicts direct-acting antivirals failure among hepatitis C virus patients: A nationwide hepatitis C virus registry program
Ming-Ying LU ; Chung-Feng HUANG ; Chao-Hung HUNG ; Chi‐Ming TAI ; Lein-Ray MO ; Hsing-Tao KUO ; Kuo-Chih TSENG ; Ching-Chu LO ; Ming-Jong BAIR ; Szu-Jen WANG ; Jee-Fu HUANG ; Ming-Lun YEH ; Chun-Ting CHEN ; Ming-Chang TSAI ; Chien-Wei HUANG ; Pei-Lun LEE ; Tzeng-Hue YANG ; Yi-Hsiang HUANG ; Lee-Won CHONG ; Chien-Lin CHEN ; Chi-Chieh YANG ; Sheng‐Shun YANG ; Pin-Nan CHENG ; Tsai-Yuan HSIEH ; Jui-Ting HU ; Wen-Chih WU ; Chien-Yu CHENG ; Guei-Ying CHEN ; Guo-Xiong ZHOU ; Wei-Lun TSAI ; Chien-Neng KAO ; Chih-Lang LIN ; Chia-Chi WANG ; Ta-Ya LIN ; Chih‐Lin LIN ; Wei-Wen SU ; Tzong-Hsi LEE ; Te-Sheng CHANG ; Chun-Jen LIU ; Chia-Yen DAI ; Jia-Horng KAO ; Han-Chieh LIN ; Wan-Long CHUANG ; Cheng-Yuan PENG ; Chun-Wei- TSAI ; Chi-Yi CHEN ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(1):64-79
Background/Aims:
Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy.
Methods:
We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment.
Results:
The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset.
Conclusions
Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.
4.Metformin and statins reduce hepatocellular carcinoma risk in chronic hepatitis C patients with failed antiviral therapy
Pei-Chien TSAI ; Chung-Feng HUANG ; Ming-Lun YEH ; Meng-Hsuan HSIEH ; Hsing-Tao KUO ; Chao-Hung HUNG ; Kuo-Chih TSENG ; Hsueh-Chou LAI ; Cheng-Yuan PENG ; Jing-Houng WANG ; Jyh-Jou CHEN ; Pei-Lun LEE ; Rong-Nan CHIEN ; Chi-Chieh YANG ; Gin-Ho LO ; Jia-Horng KAO ; Chun-Jen LIU ; Chen-Hua LIU ; Sheng-Lei YAN ; Chun-Yen LIN ; Wei-Wen SU ; Cheng-Hsin CHU ; Chih-Jen CHEN ; Shui-Yi TUNG ; Chi‐Ming TAI ; Chih-Wen LIN ; Ching-Chu LO ; Pin-Nan CHENG ; Yen-Cheng CHIU ; Chia-Chi WANG ; Jin-Shiung CHENG ; Wei-Lun TSAI ; Han-Chieh LIN ; Yi-Hsiang HUANG ; Chi-Yi CHEN ; Jee-Fu HUANG ; Chia-Yen DAI ; Wan-Long CHUNG ; Ming-Jong BAIR ; Ming-Lung YU ;
Clinical and Molecular Hepatology 2024;30(3):468-486
Background/Aims:
Chronic hepatitis C (CHC) patients who failed antiviral therapy are at increased risk for hepatocellular carcinoma (HCC). This study assessed the potential role of metformin and statins, medications for diabetes mellitus (DM) and hyperlipidemia (HLP), in reducing HCC risk among these patients.
Methods:
We included CHC patients from the T-COACH study who failed antiviral therapy. We tracked the onset of HCC 1.5 years post-therapy by linking to Taiwan’s cancer registry data from 2003 to 2019. We accounted for death and liver transplantation as competing risks and employed Gray’s cumulative incidence and Cox subdistribution hazards models to analyze HCC development.
Results:
Out of 2,779 patients, 480 (17.3%) developed HCC post-therapy. DM patients not using metformin had a 51% increased risk of HCC compared to non-DM patients, while HLP patients on statins had a 50% reduced risk compared to those without HLP. The 5-year HCC incidence was significantly higher for metformin non-users (16.5%) versus non-DM patients (11.3%; adjusted sub-distribution hazard ratio [aSHR]=1.51; P=0.007) and metformin users (3.1%; aSHR=1.59; P=0.022). Statin use in HLP patients correlated with a lower HCC risk (3.8%) compared to non-HLP patients (12.5%; aSHR=0.50; P<0.001). Notably, the increased HCC risk associated with non-use of metformin was primarily seen in non-cirrhotic patients, whereas statins decreased HCC risk in both cirrhotic and non-cirrhotic patients.
Conclusions
Metformin and statins may have a chemopreventive effect against HCC in CHC patients who failed antiviral therapy. These results support the need for personalized preventive strategies in managing HCC risk.
5. Roscovitine rescuing neuronal loss and neuroinflammation in brain regions associated with Parkinson’s disease mice
Ye LIU ; Ya-Nan CHU ; Cen-Lu XU ; Jia-Cheng HE ; Bing-Yin SU ; Hao-Ran TAI ; Ya-Nan CHU ; Bing-Yin SU ; Hao-Ran TAI
Acta Anatomica Sinica 2023;54(6):635-643
[Abstract] Objective To investigate the effect and possible mechanism of cell cycle-dependent kinase (Cdk)5 inhibitor Roscovitine on 1-methyl4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-induced pathological changes in brain regions associated with Parkinson’ s disease (PD) model mice. Methods The effect of Roscovitine on the relative expression levels of P25 and Cdk5 proteins was detected by Western blotting in MPP
6.Clinical observation of butylphthalide soft capsules combined with rosuvastatin in the treatment of patients with acute cerebral infarction and its influence on serum Lp-PLA2,IL-18,OX40L
Journal of Apoplexy and Nervous Diseases 2023;40(3):266-269
Objective To investigate clinical observation of butylphthalide soft capsules combined with rosuvastatin in the treatment of patients with acute cerebral infarction and its influence on serum Lp-PLA2,IL-18,OX40L. Methods From September 2021 to January 2022,we collected 100 patients with acute cerebral infarction who were admitted to the neurology ward and outpatient department of our hospital. These patients were randomly divided into two groups:the control group and the treatment group,with 50 patients in each group. The control group was given basic treatment and rosuvastatin (10 mg/time,1 time/d),while the treatment group was additionally given butylphthalide soft capsule (0.2 g/time,3 times/d). According to the National Institutes of Health Stroke Scale (NIHSS) score and Barthel Index,the degree of neurological deficit and ability of daily life of the two groups were evaluated before and 90 days after treatment,and the levels of serum Lp-PLA2,IL-18,OX40L were compared. Results The total clinical efficacies in the treatment group were 94.00%,higher than 80.00% in the control group(P<0.05). After 90 d treatment,NIHSS score and Lp-PLA2 level decreased,Barthel index increased,and the improvement in the treatment group was significantly better than those in the control group (P<0.05). The level of serum Lp-PLA2 was higher in patients with high NIHSS scores in the treatment group than in patients with low NIHSS scores. Before treatment,there were no significant differences between the two groups in NIHSS score,Barthel index,IL-18 levels,and OX40L levels. After treatment,there were also no significant differences between the two groups in IL-18 and OX40L levels (P>0.05). The incidence of adverse reactions in the two groups was 12.00% and 16.00%,respectively(P>0.05). Conclusion The combination of butylphthalide soft capsule and rosuvastatin has good efficacy and safety,which can significantly promote the recovery of neurological function,improve the ability of daily life,and reduce the level of serum Lp-PLA2.
7.Clinical value of plasma scaffold protein SEC16A in evaluating hepatitis B-related liver cirrhosis and hepatocellular carcinoma.
Chen DONG ; Chu Di CHANG ; Dan Dan ZHAO ; Xiao Xiao ZHANG ; Pei Lin GUO ; Yao DOU ; Su Xian ZHAO ; Yue Min NAN
Chinese Journal of Hepatology 2023;31(6):621-626
Objective: To investigate the clinical value of plasma scaffold protein SEC16A level and related models in the diagnosis of hepatitis B virus-related liver cirrhosis (HBV-LC) and hepatocellular carcinoma (HBV-HCC). Methods: Patients with HBV-LC and HBV-HCC and a healthy control group diagnosed by clinical, laboratory examination, imaging, and liver histopathology at the Third Hospital of Hebei Medical University between June 2017 and October 2021 were selected. Plasma SEC16A level was detected using an enzyme-linked immunosorbent assay (ELISA). Serum alpha-fetoprotein (AFP) was detected using an electrochemiluminescence instrument. SPSS 26.0 and MedCalc 15.0 statistical software were used to analyze the relationship between plasma SEC16A levels and the occurrence and development of liver cirrhosis and liver cancer. A sequential logistic regression model was used to analyze relevant factors. SEC16A was established through a joint diagnostic model. Receiver operating characteristic curve was used to evaluate the clinical efficacy of the model for liver cirrhosis and hepatocellular carcinoma diagnosis. Pearson correlation analysis was used to identify the influencing factors of novel diagnostic biomarkers. Results: A total of 60 cases of healthy controls, 60 cases of HBV-LC, and 52 cases of HBV-HCC were included. The average levels of plasma SEC16A were (7.41 ± 1.66) ng/ml, (10.26 ± 1.86) ng/ml, (12.79 ± 1.49) ng /ml, respectively, with P < 0.001. The sensitivity and specificity of SEC16A in the diagnosis of liver cirrhosis and hepatocellular carcinoma were 69.44% and 71.05%, and 89.36% and 88.89%, respectively. SEC16A, age, and AFP were independent risk factors for the occurrence of HBV-LC and HCC. SAA diagnostic cut-off values, sensitivity, and specificity were 26.21 and 31.46, 77.78% and 81.58%, and 87.23% and 97.22%, respectively. The sensitivity and specificity for HBV-HCC early diagnosis were 80.95% and 97.22%, respectively. Pearson correlation analysis showed that AFP level was positively correlated with alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (TBil), and γ-glutamyltransferase (GGT) with P < 0.01, while the serum SEC16A level was only slightly positively correlated with ALT and AST in the liver cirrhosis group (r = 0.268 and 0.260, respectively, P < 0.05). Conclusion: Plasma SEC16A can be used as a diagnostic marker for hepatitis B-related liver cirrhosis and hepatocellular carcinoma. SEC16A, combined with age and the AFP diagnostic model with SAA, can significantly improve the rate of HBV-LC and HBV-HCC early diagnosis. Additionally, its application is helpful for the diagnosis and differential diagnosis of the progression of HBV-related diseases.
Humans
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Carcinoma, Hepatocellular/pathology*
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Liver Neoplasms/pathology*
;
alpha-Fetoproteins/metabolism*
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Endoplasmic Reticulum/metabolism*
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Golgi Apparatus/metabolism*
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Vesicular Transport Proteins
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Liver Cirrhosis/complications*
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Hepatitis B/complications*
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ROC Curve
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Hepatitis B virus/metabolism*
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Biomarkers, Tumor
8.Anemia on the prognosis of elderly patients with acute coronary syndrome: a meta-analysis
Chu FAN ; Ji HUANG ; Hangyu YAN ; Dan LI ; Zhizhong LI ; Yutong CHENG ; Zhao LI ; Nan LI
Chinese Journal of Geriatrics 2023;42(4):458-462
Objective:To examine the effect of anemia on the prognosis of elderly patients with acute coronary syndrome.Methods:We searched PubMed, Scopus, OVID, the Cochrane Library, Web of Science, Embase, China National Knowledge Infrastructure, China Biology Medicine Disc, the WanFang and Weipu databases for studies on the association between anemia and the prognosis of acute coronary syndrome in elderly patients.The date range included the period from the establishment of the database to December 10, 2022.Two reviewers independently completed the literature screening and data extraction according to the inclusion and exclusion criteria for the literature.Stata 16.0 software was used to analyze the data.Results:Of 1 399 references retrieved from the initial search, 13 met the inclusion criteria, including a total of 9540 patients with a mean age of 70.3 years.2872 of these patients had concurrent anemia and 6 668 patients had no anemia.In elderly patients with acute coronary syndrome, those with anemia showed significantly increased risk of death, compared with those with no anemia( RR=2.28, 95% CI: 1.74-3.00). Anemia also increased the incidence of ischemia( RR=1.36, 95% CI: 1.13-1.64)and bleeding events( RR=2.18, 95% CI: 1.59-3.01)( P<0.05 for all). Conclusions:Anemia significantly increases the risk of death and is associated with poor prognosis in elderly patients with acute coronary syndrome.
9.Application of Microhaplotypes in Sibling Kinship Testing.
Xuan TANG ; Dan WEN ; Chu-Dong WANG ; Ru-Yi XU ; Hong-Tao JIA ; Jie-Nan LI ; Bai-Yi-la ZHALAGA
Journal of Forensic Medicine 2023;39(3):288-295
OBJECTIVES:
To investigate the efficacy of different numbers of microhaplotype (MH) loci and the introduction of different reference samples on the identification of full sibling, half sibling and differentiation between full sibling and half sibling kinships, and to explore the effect of changing mutation rate on sibling testing.
METHODS:
First, a family map involving three generations was established, and four full sibling identification models, five half sibling identification models and five models distinguishing full and half siblings were constructed for different reference samples introduced. Based on the results of the previous study, two sets of nonbinary SNP-MH containing 34 and 54 loci were selected. Based on the above MH loci, 100 000 pairs of full sibling vs. unrelated individuals, 100 000 pairs of half sibling vs. unrelated individuals and 100 000 pairs of full sibling vs. half sibling were simulated based on the corresponding sibling kinship testing models, and the efficacy of each sibling kinship testing model was analyzed by the likelihood ratio algorithm under different thresholds. The mutant rate of 54 MH loci was changed to analyze the effect of mutation rate on sibling identification.
RESULTS:
In the same relationship testing model, the systematic efficacy of sibling testing was positively correlated with the number of MH loci detected. With the same number of MH loci, the efficacy of full sibling testing was better than that of uncle or grandfather when the reference sample introduced was a full sibling of A, but there was no significant difference in the identification efficacy of the four reference samples introduced for full sibling and half sibling differentiation testing. In addition, the mutation rate had a slight effect on the efficacy of sibling kinship testing.
CONCLUSIONS
Increasing the number of MH loci and introducing reference samples of known relatives can increase the efficacy of full sibling testing, half sibling testing, and differentiation between full and half sibling kinships. The level of mutation rate in sibling testing by likelihood ratio method has a slight but insignificant effect on the efficacy.
Humans
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Siblings
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Polymorphism, Single Nucleotide
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DNA Fingerprinting/methods*
10.Effect of Rheb1 in the Development of Mouse Megakaryocyte-Erythroid Progenitor Cells.
Juan GAO ; Shuang YANG ; Yu-Xia WANG ; Ya-Nan GAO ; Ya-Jing CHU ; Wei-Ping YUAN ; Xiao-Min WANG
Journal of Experimental Hematology 2022;30(1):298-304
OBJECTIVE:
To investigate the effect of Rheb1 in the development of mouse megakaryocyte-erythroid progenitor cells and its related mechanism.
METHODS:
Rheb1 was specifically knocked-out in the hematopoietic system of Vav1-Cre;Rheb1fl/fl mice(Rheb1Δ/Δ mice). Flow cytometry was used to detect the percentage of red blood cells in peripheral blood and erythroid cells in bone marrow in Vav1-Cre;Rheb1fl/fl mice and control mice. The CFC assay was used to detect the differentiation ability of Rheb1 KO megakaryocyte-erythroid progenitor cells and control cells. Real-time fluorescence quantification PCR was used to detect the relative expression of PU.1,GATA-1,GATA-2,CEBPα and CEBPβ of Rheb1 KO megakaryocyte-erythroid progenitor cells and control cells. Rapamycin was added to the culture medium, and it was used to detect the changes in cloning ability of megakaryocyte-erythroid progenitor cells from wild-type mice in vitro.
RESULTS:
After Rheb1 was knocked out, the development and stress response ability of megakaryocyte-erythroid progenitor cells in mice were weaken and the differentiation ability of megakaryocyte-erythroid progenitor cells in vitro was weaken. Moreover, the expression of GATA-1 of megakaryocyte-erythroid progenitor cells was decreased. Further, rapamycin could inhibit the differentiative capacity of megakaryocyte-erythroid progenitor cells in vitro.
CONCLUSION
Rheb1 can regulate the development of megakaryocyte-erythroid progenitor cells probably through the mTOR signaling pathway in mice.
Animals
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Cell Differentiation
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Erythrocytes
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Flow Cytometry
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Megakaryocyte-Erythroid Progenitor Cells
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Megakaryocytes
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Mice
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Signal Transduction


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