1.Analysis of Intestinal Microbiota of Type 2 Diabetes Patients of by Two Fingerprint Technologies
Xiaokang WU ; Chaofeng MA ; Pengbo YU ; Lei HAN ; Jiafeng YIN ; Ni ZHANG ; Miaoxian LI ; Xiangling WANG ; Jiru XU
Journal of Modern Laboratory Medicine 2015;(4):24-27
Objective To explore the characteristics of intestinal Microbiota in T2DM patients by two molecular fingerprint technologies,and investigate the correlation of intestinal microbiota and T2DM,and evaluate the application value of two fin-gerprint technologies.Methods Fecal samples of 8 healthy groups and 7 diabetes patients were collected.Then the total DNA of gut microbiota was extracted.Through the analysis of products by two molecular fingerprints of ERIC-PCR and DGGE-PCR,ecological characteristics of diversity and similarity of gut microbiota were obtained in healthy groups and dia-betes patients.Results Compared to healthy groups,the number of bands and Shannon-Wiener index of gut microbiota in di-abetes patients was decreased but no statistical significance.The similarity in patients group was declining(P <0.05),and the construction of gut microbiota was inclined to differ.Two fingerprint technologies of ERIC and DGGE could directly re-flect the diversity of gut microbiota and were the modern molecular biological techniques without depending on cultivation. ERIC was simple and convenient,had a better reflection of microbial diversity,but gel band cutting and regarded asa proper approach with higher diffraction efficiency and excellent repetition to studysequencing couldn’t be performed since there were more influencing factors on the experiment.DGGE could better reflect the ecological characteristics such as microbial diversity and similarity,and selecting bands,gel band cutting and sequencing could be done.Conclusion The composition and construction of gut microbiota in diabetes patients were changed,which suggests the occurrence of the disease had the correlation with gut microbiota.ERIC and DGGE is regarded as a proper approach with higher diffraction efficiency and ex-cellent repetition to study intestinal microbiota,but also gel band cutting,sequencing,bacteria identification can be performed by DGGE,both can be used in combination.
2. Electrocardiogram characteristics of patients with ventricular arrhythmia originating from the distal great cardiac vein
Rulian ZHENG ; Depu ZHOU ; Jiaxuan LIN ; Yuechun LI ; Jin LI ; Jia LI ; Ripeng YIN ; Jiafeng LIN
Chinese Journal of Cardiology 2017;45(4):307-313
Objective:
To explore the electrocardiographic characteristics of patients with idiopathic ventricular arrhythmias (VAs) originating from different portions of distal great cardiac veins (DGCV).
Methods:
The study included 49 patients underwent successful RFCA of premature ventricular complex(PVCs)/ventricular tachycardia(VT) from different portions of the DGCV in our department from July 2009 to March 2016. The surface 12-lead electrocardiogram (ECG) and intraventricular ablation mapping features were analyzed. Patients were divided into four groups according to the mapping and ablation results: DGCV1(10 patients), DGCV2 (13 patients), proximalanterior interventricular vein (PAIV, 17 patients)and extend distal great cardiac vein (EDGCV, 9 patients). We analyzed the similarities and differences between surface 12-lead ECG of patients with PVCs/VT from different portions of DGCV, and compared with random chosen 290 patients with PVCs/VT from ventricular outflow tract and adjacent structure.
Results:
A positive R wave in inferior leads, a negative QS morphology in lead aVL and aVR were found among all groups. The different characteristics of surface 12-lead ECG of VAs originating from DGCV were as follows: (1)EDGCV patients demonstrated a positive R or r wave on lead Ⅰ(6/9) while a negative rS or qr wave was evidenced in other three groups (39/40). (2)A positive R pattern on lead V1, V5-V6 (11/13) was presented in patients of DGCV2 group; R (without S or s) wave on V1 (9/10), RS or Rs wave on V5-V6 were found in DGCV1 group; RS or rS wave was seen on lead V1, R(without S)wave in lead V5-V6 (25/26) were found in EDGCV and PAIV group and the amplification of R wave in EDGCV was higher than V1 of PAIV group.(3)Precordial lead transition zone was in front of V1 for DGCV1 and DGCV2 groups (23/23), within V1-V3 for EDGCV group, but on V2 or within V2-V3 for PAIV group.(4)Patients of DGCV1 and DGCV2 demonstrated a longer Pseudo delta wave time(PdW), intrinsicoid deflection time (IDT), significantly larger maximum deflection index (MDI) than those in PAIV and EDGCV groups (