1.Neuroimmunomodulatory effects of vitamin D and its relationship with neuropsychiatric disorders
Ruili DANG ; Yujin GUO ; Yungui ZHU ; Pei JIANG
Chinese Journal of Clinical Nutrition 2015;23(4):250-254
Over the last decade,a growing body of evidence has indicated that vitamin D is not only crucial in maintaining calcium-phosphorus homeostasis and bone density,but also implicated in the regulation of immune system and the maintenance of the normal function of central nervous system.A variety of neuropsychiatric disorders such as multiple sclerosis,Alzheimer's disease,Parkinson's disease,schizophrenia,and depression are suggested to be associated with vitamin D deficiency and immune activation.In this review,we summarize the recent key findings concerning the effect of vitamin D on neuroimmmune modulation and its potential role in those neuropsychiatric disorders.
2.Sticking to the development of military and civilian integration, cultivating outstanding scientific and technological achievements:thoughts concerning the management of scientific and technological achievements in military medical university
Hongjun ZHANG ; Jun DENG ; Zhu ZHANG ; Yong YANG ; Junsheng JI ; Yungui WANG
Chinese Journal of Medical Science Research Management 2014;27(6):636-639
The role of Military Medical University featuring both battlefield and market service determines the necessity to seek balance between military and civilian planning for scientific and technological innovation.In the management of scientific and technological achievements,Third Military Medical University sticks to the development mode of military-civil integration.First,it establishes the management concept suit for its roles and characteristics,organizational strategy,policy and system.Secondly,it implements transitional development.Thirdly,it serves social development and military medical services.As a result,a series of outstanding scientific and technological achievements have been obtained,and remarkable progress and results have been achieved.
3.Expression of gene and its prognostic value in patients with acute myeloid leukemia.
Dongfen DU ; Lixia ZHU ; Yungui WANG ; Xiujin YE
Journal of Zhejiang University. Medical sciences 2019;48(1):50-57
OBJECTIVE:
To investigate the expression of Wilms'tumor 1 () gene in patients with acute myeloid leukemia (AML), and to explore its application in predicting prognosis of AML in patients with wild or mutated nucleophosmin 1() and Fms-like tyrosine kinase 3-internal tandem duplication ().
METHODS:
One hundred and sixty-seven newly diagnosed AML patients(exclued M3 type) were enrolled in this study. The survival of patients were analyzed with Kaplan-Meier method. The clinical data, laboratory findings and the survival of patients were analyzed and compared between patients with high expression (high- group) and those with low expression (low- group), as well as among the patients with or wild type and mutants.
RESULTS:
The overall response rates (ORR) in high- and low- groups were 65.9% (83/126) and 95.1% (39/41), respectively (<0.01). Compared with the low- group, the high- group had lower 2-y overall survival (OS) rate (46.1% vs. 75.2%, <0.05) and 2-y disease free survival (DFS) rate (43.5% vs. 68.5%, <0.05). After induction chemotherapy, the patients with decreased gene expression ≥ 1log was associated with higher ORR and 2-y OS rate (all <0.05), but the advantage of 2-y DFS rate was not shown (>0.05). In patients with wild type, the high- group had inferior ORR and 2-y OS rate (all <0.05), while in the patients with wild type, the high- group had inferior ORR, 2-y OS rate and 2-y DFS rate (all <0.05). In patients with or FLT3 -ITD mutations, the expression had no significantly predicting values in treatment efficacy and survival (all >0.05).
CONCLUSIONS
gene overexpression indicated poor prognosis of AML patients; the patients with decreased gene expression ≥ 1 log after the first induction therapy show better prognosis than those with<1 log. The gene expression level at diagnosis can be used as an unfavorable prognostic factor for AML patients with or wild types.
Disease-Free Survival
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Gene Expression Profiling
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Humans
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Kaplan-Meier Estimate
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Leukemia, Myeloid, Acute
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diagnosis
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genetics
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mortality
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Mutation
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Nuclear Proteins
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genetics
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Prognosis
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WT1 Proteins
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genetics
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fms-Like Tyrosine Kinase 3
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genetics
4. An interlaboratory comparison study on the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels
Yazhen QIN ; Liwen ZHU ; Shuang LIN ; Suxia GENG ; Shengwei LIU ; Hui CHENG ; Chengye WU ; Min XIAO ; Xiaoqing LI ; Ruiping HU ; Lili WANG ; Haiyan LIU ; Daoxin MA ; Tao GUAN ; Yuanxin YE ; Ting NIU ; Jiannong CEN ; Lisha LU ; Li SUN ; Tonghua YANG ; Yungui WANG ; Tao LI ; Yue WANG ; Qinghua LI ; Xiaosu ZHAO ; Lingdi LI ; Wenmin CHEN ; Lingyu LONG ; Xiaojun HUANG
Chinese Journal of Hematology 2019;40(11):889-894
Objective:
To investigate the current status and real performance of the detection of RUNX1-RUNX1T1 fusion transcript levels and WT1 transcript levels in China through interlaboratory comparison.
Methods:
Peking University People’s Hospital (PKUPH) prepared the samples for comparison. That is, the fresh RUNX1-RUNX1T1 positive (+) bone morrow nucleated cells were serially diluted with RUNX1-RUNX1T1 negative (-) nucleated cells from different patients. Totally 23 sets with 14 different samples per set were prepared. TRIzol reagent was added in each tube and thoroughly mixed with cells for homogenization. Each laboratory simultaneously tested RUNX1-RUNX1T1 and WT1 transcript levels of one set of samples by real-time quantitative PCR method. All transcript levels were reported as the percentage of RUNX1-RUNX1T1 or WT1 transcript copies/ABL copies. Spearman correlation coefficient between the reported transcript levels of each participated laboratory and those of PKUPH was calculated.
Results:
①RUNX1-RUNX1T1 comparison: 9 samples were (+) and 5 were (-) , the false negative and positive rates of the 20 participated laboratories were 0 (0/180) and 5% (5/100) , respectively. The reported transcript levels of all 9 positive samples were different among laboratories. The median reported transcript levels of 9 positive samples were from 0.060% to 176.7%, which covered 3.5-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.5 to 12.3 (one result which obviously deviated from other laboratories’ results was not included) , 85% (17/20) of the laboratories had correlation coefficient ≥0.98. ②WT1 comparison: The median reported transcript levels of all 14 samples were from 0.17% to 67.6%, which covered 2.6-log. The ratios of each sample’s highest to the lowest reported transcript levels were from 5.3-13.7, 62% (13/21) of the laboratories had correlation coefficient ≥0.98. ③ The relative relationship of the reported RUNX1-RUNX1T1 transcript levels between the participants and PKUPH was not always consistent with that of WT1 transcript levels. Both RUNX1-RUNX1T1 and WT1 transcript levels from 2 and 7 laboratories were individually lower than and higher than those of PKUPH, whereas for the rest 11 laboratories, one transcript level was higher than and the other was lower than that of PKUPH.
Conclusion
The reported RUNX1-RUNX1T1 and WT1 transcript levels were different among laboratories for the same sample. Most of the participated laboratories reported highly consistent result with that of PKUPH. The relationship between laboratories of the different transcript levels may not be the same.