3.Molecular classification of breast cancers.
Xiao-Song CHEN ; Shu-Jie CHEN ; Kun-Wei SHEN
Chinese Journal of Oncology 2008;30(9):641-643
Breast Neoplasms
;
classification
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genetics
;
metabolism
;
pathology
;
Female
;
Gene Expression Profiling
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Gene Expression Regulation, Neoplastic
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Homeodomain Proteins
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metabolism
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Humans
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Neoplasm Invasiveness
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Neoplasm Recurrence, Local
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Oligonucleotide Array Sequence Analysis
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methods
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Receptors, Interleukin
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metabolism
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Signal Transduction
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Survival Rate
5.STUDDZS OF SCREENING MICROORGANISMS DEGRADING LINEAR SODIUM ALKYLBENZENESULFONATE (LAS) AND ITS DEGRADINGCHARACTERISTICS
Qi-Feng YING ; Chang-Song XIAO ; Shu-Lan JI ;
Microbiology 1992;0(01):-
A bacterium which can effectively degrade LAS (Linear Sodium Alkylbenzenesulfonate) was isolated from washing powder manufacturing effluent and was preliminarily identified as Corynebacterium jeikeium GZ6. The bacterium can degrade LAS up to till 700 mg/L, and the optimum pH, temperature and concentration of LAS are 7.0, 30℃ and 400 mg/L, respectively. The biodegradation rate can reach 98.7% after 24 hours'cultivation in the suitable conditions. Experiments also showed that some heavy metal ions such as Hg2+ , Co2+ , Cd2+ can differently inhibit the degradation of LAS.
6.Expression and function relations of p63 in ovarian serous carcinoma
Guang-Ye SONG ; Shu-Li SHAO ; Zhi-Yu SONG ; Xiao-Yan WANG ;
Cancer Research and Clinic 2006;0(08):-
Objective To study the expression and function relations of the p63 in ovarian serous carcinoma,and compare them with normal ovary tissue.Methods RT-PCR,in situ hybridization and im- munohistochemistry were used to detect the expression of the p63 in ovarian serous carcinoma,ovarian bor- derline serous tumors,ovarian benign serous tumors and normal ovary tissues.Results All samples ex- pressed p63 mRNA through RT-PCR and immunohistochemistry,while the levels of expression in ovarian tu- mors was higher than that of normal ovary.p63 in human borderline and malignant ovarian tumors was higher than that in human benign ovarian tumors with significant difference,which suggested p63 may play great roles in the origin and progression of ovarian tumors.The result of in situ hybridization showed that positive expression rate of p63 mRNA in ovarian cancer (92.1%) was significantly higher than that in normal ovary(0) or LWP ovarian cancer(50.0%).Conclusion Expression of p63 plays an important role in the development of varian carcinoma,and along with the difference of histological stage and clinico-pathological stage,the ex- pression of p63 gene and protein level were different.
7.Association of genetic variant rs10830963 of melatonin receptor 1B gene in women with gestational diabetes mellitus
Zhifeng DENG ; Qingqing SHU ; Youhao CHEN ; Meihua XIANG ; Xiao LI ; Shenglan WU ; Minfei ZHANG ; Wei SONG
Chinese Journal of Perinatal Medicine 2011;14(11):666-669
Objective To investigate whether the genetic variant rs10830963 of melatonin receptor 1B(MTNR1B)gene is associated with increased risk for gestational diabetes mellitus (GDM).Methods Eighty-seven GDM subjects(GDM group)and 91 normal pregnant women (control group)were randomly recruited form Women and Children's Hospital of Quzhou,Zhejiang Province,China.The allele and genotype frequencies of the rsi0830963 in MTNR1B gene were determined in all participants with PCR amplification and DNA sequencing.The allele and genotype frequencies of rs10830963 were compared to determine their differences between GDM subjects and normal controls.In addition,multiple linear regression was conducted to investigate the association patterns of the risk allele with fasting glucose and HbAlc levels.Results Both GG genotype and G allele frequencies of the rs10830963 loci in the GDM group were significantly higher than those in the controls,and women with G allele and GG genotype were associated with increased GDM risk(OR=1.53,95% CI:1.005-2.324,P=0.047 and OR=2.16,95% CI:1.052-4.434,P=0.034 respectively).After adjusting for age,body mass index before pregnancy,and family history of diabetes mellitus,women carrying GG genotype still had a higher GDM risk(OR =2.07,95% CI:1.048-4.372,P =0.022).Multiple linear regression showed that the rs10830963 G allele was positively correlated with higher levels of fasting glucose(0.068 mmol/L,P=0.015)and HbAlc(0.073%,P=0.028).Conclusions Genetic variant rs10830963 in MTNR1B gene may contribute to the susceptibility to GDM in Chinese population and the rs10830963 G allele is a risk factor for the GDM susceptibility.
8.Treatment of Knee Osteoarthritis by Tendons of Minimally Invasive Therapy Combined Drug Ther- apy: a Clinical Observation of Sixty Cases.
Chun-fu HOU ; Song WEI ; Zhi-huang CHEN ; Xiao-hao LI ; Shu-ting WANG ; Jing GUO
Chinese Journal of Integrated Traditional and Western Medicine 2015;35(6):678-681
OBJECTIVETo assess the efficacy of tendons of minimally invasive therapy (TMIT) combined drug therapy by comparing it with treatment by drug therapy alone on patients with knee osteoarthritis (KOA).
METHODSTotally 60 KOA patients were assigned to the treatment group and the control group according to random digit table, 30 in each group. Patients in the control group took Hydrochloric Acid Glucosamine Capsule and Celecoxib Capsule. Patients in the treatment group additionally received TMIT. The treatment course for all was 4 weeks. Scores for visual analogue scale (VAS) and the Western Ontario and McMaster Universities (WOMAC) Osteoarthritis Index were observed and recorded at week 1 and 4 after treatment by acupotomology mirror.
RESULTSCompared with before treatment, improvement was shown in VAS score, pain and stiffness degrees, activities and functions, and WOMAC scores at week 1 and 4 after treatment in all patients with statistical difference (P < 0.05). Besides, better effect was shown in the treatment group (P < 0.05).
CONCLUSIONSTMIT combined drug therapy could relieve KOA patients' pain, stiffness and joint activities, elevate the overall efficacy. TMIT was easily operated with less injury.
Celecoxib ; Drug Therapy, Combination ; methods ; Humans ; Knee Joint ; Osteoarthritis, Knee ; drug therapy ; Pain ; Pain Measurement ; Tendons ; Treatment Outcome
9.Primary discussion on the classification of the TCM patterns and measurable diagnosis of 760 cases of protracted abstinent syndrome by heroin-addiction.
Shu-li SONG ; Xiao-ju BAI ; Xue-min GAO
Chinese Journal of Integrated Traditional and Western Medicine 2005;25(1):33-35
OBJECTIVETo discuss the TCM pattern classification and measurable diagnosis criterion of the protracted symptoms of heroin-addiction abstinence (PSHAA).
METHODSThrough literature review and clinical study, the concept of TCM patterns and diagnostic standard were established, and a TCM pattern scale for quantitatively analysis of PSHAA was formulated. The scale were used on the clinical investigation on the abuser for 5 times on day 15, 30, 60, 90 and 120 after abstinence. Then the TCM patterns of PSHAA was classified using methods of DME and quantitative diagnosis, to create a corresponding scale of diagnostic indexes referring maximum likelihood method.
RESULTS(1) The TCM patterns of PSHAA commonly seen were Toxin-stasis accumulation (TSA) with Qi-blood insufficiency, TSA with Qi-yin deficiency, TSA with Yin-deficiency and Fire-excess and TSA with Yin-Yang deficiency. (2) The retrospective and prospective verification of the scale of diagnostic indexes showed it has high sensitivity and speciality, with low rates of misdiagnosis and of missed diagnosis.
CONCLUSIONIt is feasible to develop measurable diagnosis on the TCM patterns of PASAA using DME method and measurable diagnostic methods. The scale of diagnostic indexes formulated with the maximum likelihood method of quantified diagnosis has a certain clinical practicability.
Adult ; Diagnosis, Differential ; Drugs, Chinese Herbal ; therapeutic use ; Female ; Heroin Dependence ; diagnosis ; drug therapy ; Humans ; Male ; Medicine, Chinese Traditional ; Phytotherapy ; Reference Standards
10.Study on prediction of compound-target-disease network of chuanxiong rhizoma based on random forest algorithm.
Jie YUAN ; Xiao-Jie LI ; Chao CHEN ; Xiang-Gang SONG ; Shu-Mei WANG
China Journal of Chinese Materia Medica 2014;39(12):2336-2340
To collect small molecule drugs and their drug target data such as enzymes, ion channels, G-protein-coupled receptors and nuclear receptors from KEGG database as the training sets, in order to establish drug-target interaction models based on the random forest algorithm. The accuracies of the models were evaluated by the 10-fold cross-validation test, showing that the predicted success rates of the four drug target models were 71.34%, 67.08%, 73.17% and 67.83%, respectively. The models were adopted to predict the targets of 26 chemical components and establish the compound-target-disease network. The results were well verified by literatures. The models established in this paper are highly accurate, and can be used to discover potential targets in other traditional Chinese medicine ingredients.
Algorithms
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Drugs, Chinese Herbal
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pharmacology
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Gene Regulatory Networks
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drug effects
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Humans
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Ligusticum
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chemistry
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Molecular Targeted Therapy
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Rhizome
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chemistry