1.PTEN gene mutation in gastric carcinoma
Mingjin ZOU ; Yang GAO ; Bing LUO ; Hua LIANG
Chinese Journal of Current Advances in General Surgery 2004;0(06):-
Objective:To study the mutation frequencies of the exon 5 and the exon 8 of PTEN (phosphatase and tensin homology deleted on chromosome ten) gene in gastric carcinoma and investigate the relationship of the gene mutation and pathological differentiation and clinical stage.Methods:The mutation of exon 5 and exon 8 of PTEN gene was detected in 42 gastric carcinoma samples and the matched adjacent normal gastric mucosa with polymerase chain reaction-single strand conformation polymorphism(PCR-SSCP) method.The PCR products of mutant samples were analysed by DNA sequencing technique.Results:The mutation of PTEN was shown in 3 of the 42 gastric carcinoma tissues and in none of the adjacent normal tissues.The mutation rates of PTEN gene in poorly differentiated and well differentiated samples were 12.00% and 0,respectively (P0.05).The mutation rates of PTEN gene in clinical stage Ⅰand Ⅱ (5.88%) had no significant difference with that in clinical stage Ⅲand Ⅳ (8.00%) (P0.05).Conclusion:PTEN gene mutation occurs mainly in poorly differentiated gastric carcinoma tissues,and the mutation rate is not related to pathological differentiation and clinical stage.
2.Characteristics of anger emotions in patients with schizophrenia with violent behavior in community
Mingjin LUO ; Kejie WANG ; Pingyu TAO ; Xiaohua SUN ; Haidong SONG
Chinese Mental Health Journal 2024;38(10):840-845
Objective:To explore the anger emotional state,traits and expression characteristics in patients with schizophrenia with violent behavior in community.Methods:Twenty-five patients with schizopnrenia with a history of violent behavior among the community rehabilitation institutions were selected as the violent behavior group,and 74 patients with schizopnrenia without a history of violent behavior were selected as the nonviolent behavior group.The Brief Psychiatric Rating Scale(BPRS)was used to assess psychiatric symptoms,and the State-Trait An-ger Expression Inventory(STAXI)was used to assess anger characteristics.Results:Compared with the nonviolent behavior group,the violent behavior group had significantly higher scores in the trait of anger(patient dimension score,rational dimension score)and expression of anger(total score,restraint dimension score)[(28.0±23.8)vs.(19.6±13.3),(55.0±30.6)vs.(40.0±21.5),(34.2±11.6)vs.(27.3±10.7),(56.0±26.1)vs.(33.7±21.1),Ps<0.05].Higher scores of rationality dimension of anger trait(OR=3.69,95%CI:1.43-7.98)and re-straint dimension of anger expression(OR=3.25,95%CI:1.39-7.47)were risk factors for violent behaviors.Conclusion:Compared with patients with schizopnrenia without violent behavior,patients with violent behavior history may show more lack of rationality,and poorer anger restraint.
3.Simultaneous Determination of 14 Components in Qingfei Yihuo Tablets by HPLC
Wei' ; er XU ; Xiuchun FAN ; Tingshun LUO ; Mingjin MIAO ; Kun DONG ; Huaijing YANG
Chinese Journal of Modern Applied Pharmacy 2024;41(8):1084-1090
OBJECTIVE
To establish a high-performance liquid chromatography method for the simultaneous determination of 14 components including geniposide, mangiferin, baicalin, berberine hydrochloride, wogonoside, baicalein, aloe-emodin, rhein, wogonin, emodin, praeruptorin A, chrysophanol, physcion and praeruptorin B in Qingfei Yihuo tablets.
METHODS
Titank C18 (250 mm×4.6 mm, 5 μm) column was used; 0.1% phosphoric acid solution(A)-acetonitrile(B) was used as the mobile phase with gradient elution; detection wavelengths: geniposide at 238 nm, aloe-emodin, rhein, emodin, chrysophanol, physcion and mangiferin at 254 nm, berberine hydrochloride at 265 nm, baicalin, wogonoside, baicalein, and wogonin at 280 nm, praeruptorin A and praeruptorin B at 321 nm. The flow rate was 1.0 mL·min−1 and the column temperature was 35 ℃; the injection volume was 10 μL.
RESULTS
The linear ranges of geniposide, mangiferin, baicalin, berberine hydrochloride, wogonoside, baicalein,aloe-emodin, rhein, wogonin, emodin, praeruptorin A, chrysophanol, physcion and, praeruptorin B were 4.96−223.17, 0.84−42.22, 18.76−938.16, 4.46−223.17, 4.86−243.10, 1.59−79.32, 0.76−38.17, 1.03−51.49, 1.59−79.40, 1.21−60.72, 1.80−90.06, 0.91−45.48, 1.04−51.83 and 0.86−43.23 μg·mL−1, with r all ≥ 0.999 9. The RSDs of instrument precision, stability and reproducibility tests were <3%, and the average recoveries in sample(n=6) were >90%, with the RSDs <3%.
CONCLUSION
The method is simple and reproducible and can provide a scientific basis for improving the quality standard of Qingfei Yihuo tablets.
4.Microbial Diversity in Rhizosphere Soil of Gastrodia elata with Different Yields
Yingzi LUO ; Mingjin HUANG ; Dachang WANG ; Cheng LI ; Gang GUO ; Hongchang LIU ; Mingsheng ZHANG ; Zhi ZHAO ; Songlin RUAN ; Tingchi WEN
Chinese Journal of Experimental Traditional Medical Formulae 2023;29(1):133-140
ObjectiveTo analyze the microbial diversity in the rhizosphere soil of Gastrodia elata with different yields and explore the influence of soil microorganisms on the yield of G. elata. MethodThe experiment adopted the 16S DNA and ITS high-throughput sequencing technologies to study the diversity of the bacterial and fungal community in the rhizosphere soil of G. elata with high yield (GC) and low yield (DC). ResultProteobacteria, Firmicutes, and other unidentified Bacteria were dominant in the rhizosphere soil of G. elata. The dominant rhizosphere fungi were Ascomycota, Basidiomycota, and Mortierellomycota. There was no significant difference in microbial community abundance in the high-yield and low-yield rhizosphere soil of G. elata, but there was a significant difference in species composition. Thirty-eight microbes such as Bradyrhizobium, Schleiferilactobacillus, and Archaeorhizomyces were gathered in large numbers in the high-yield rhizosphere soil, and thirty microbes such as Fusarium, Coprinellus, and Nitrosotalea were gathered in large numbers in the low-yield rhizosphere soil. At the level of genus and species, there were six different species in the high-yield and low-yield rhizosphere soil of G. elata, among which Russula mariae, Archeaeorhizomyces, and Ilyonectria were gathered in the high-yield rhizosphere soil of G. elata, while Nitrosotalea, Coprinellus disserminatus, and Fusarium were gathered in the low-yield rhizosphere soil of G. elata. ConclusionThere are different microorganisms in the rhizosphere soil of G. elata with different yields, and it is speculated that these microorganisms are related to the yields of G. elata. The research results are expected to provide a vital theoretical basis for the follow-up study of the high yield of G. elata.