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Haemodynamics Imaging of Swine Segmental Kidney Artery Using Duplex Doppler Technique. J Vet Res 2019; 63:259-265. [PMID: 31276066 PMCID: PMC6598193 DOI: 10.2478/jvetres-2019-0036] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 06/03/2019] [Indexed: 12/17/2022] Open
Abstract
Introduction The aim of the study was to assess the usefulness of duplex Doppler to objectify swine renal arterial flow in physiological conditions. The pig kidney was selected for its morphological similarities to the human and for the results therefore offering data to wider research. Material and Methods Six White Large x Landrace sows, of 48.5-53 kg b.w. were used. Vascular flow parameters were acquired with a convex probe USG device with a duplex Doppler function using pulsed waves (frequency range of 5-7.5 MHz). Segmental kidney arterial flow was measured. Results The RI values were within the 0.57 (min) to 0.6 (max) range, x RI was 0.58 (±0.014), and the SD2value was 0.0002. The PI index values ranged from 1.21 (min) to 1.3 (max), and x PI was 1.24 (±0.035). The value of SD2was 0.00123. In the S/D index, the results fell between 2.2 (min) and 2.49 (max), with x S/D of 2.29 (±0.117). The value of variance SD2was 0.0139. A double analysis of correlation between indices showed this to be almost certain and highly positive as confirmed by high correlation coefficients: r RI & PI 0.857, rho RI & PI 0.739, r RI & S/D 0.930, rho RI & S/D 0.941, r PI & S/D 0.913, and rho PI & S/D 0.754. The segmental kidney arterial flow spectrum evinced falls in PSV and PSV/LDV ratio, also noticed in the filling of the spectral window, comparing the renal to an interlobar artery. Conclusion Swine were selected because of renal anatomical and haemodynamic similarity to humans. The most relevant values and indices approximated those in humans. The study anaesthetic protocol had a minor influence on the average RI, PI, and S/D indices.
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Tao L, Ma J, Han L, Xu H, Zeng Y, Yehui L, Li W, Ma K, Xiao B, Chen L. Early postmortem interval estimation based on Cdc25b mRNA in rat cardiac tissue. Leg Med (Tokyo) 2018; 35:18-24. [PMID: 30237007 DOI: 10.1016/j.legalmed.2018.09.004] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2018] [Revised: 08/15/2018] [Accepted: 09/09/2018] [Indexed: 11/19/2022]
Abstract
PURPOSE The postmortem interval (PMI) is the amount of time that has elapsed since the time of death. Over the years, many approaches have been developed to assess PMI, but their time frame of applicability has been only days to weeks. Our present pilot study aimed to find the sensitive mRNA marker if the degradation of mRNA could be used to estimate the early postmortem interval (up to 24 h). METHODS In our study, we use the microarray to screen 217 mRNAs markers of rat cardiac tissue. Then, real-time fluorescent quantitative PCR (qPCR) was used to validate of the candidate markers at 7 time points within 24 h and at temperatures of 25 °C and 35 °C. Another 27 rats were then used to verify the model. RESULTS Among all of the candidate markers, △Cq (cell division cycle 25 homolog B(Cdc25b)) had the best correlation coefficient with early postmortem interval and was used to build a new model using the R software. The results of verification testing demonstrated that the error rate was less than 15%, demonstrating the high predictive power of our mathematical model. CONCLUSION In this study, Cdc25b was found to be the sensitive marker to estimate early postmortem interval, and Rpl27 was found to be suitable for use as the endogenous control. Our work provided new leads for molecular approaches to early postmortem interval estimation using the significant mRNA markers established here.
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Affiliation(s)
- Li Tao
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131Dongan Road, Shanghai 200032, China
| | - Jianlong Ma
- Shenzhen Institute of Criminal Science and Technology, Investigation Department of Shenzhen Public Security Bureau, Key Laboratory of Forensic Pathology, Ministry of Public Security, Shenzhen, 518000,China
| | - Liujun Han
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131Dongan Road, Shanghai 200032, China
| | - Hongmei Xu
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131Dongan Road, Shanghai 200032, China
| | - Yan Zeng
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131Dongan Road, Shanghai 200032, China; Children's Hospital, Fudan University, 399 Wanyuan Road, Shanghai 201102, China
| | - Lyu Yehui
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131Dongan Road, Shanghai 200032, China; Shanghai University of Medicine & Health Sciences, 279 ZhouzhuHwy, Shanghai 201318, China
| | - Wencan Li
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131Dongan Road, Shanghai 200032, China; Forensic Lab, Criminal Science and Technology Institute, Pudong Branch, Shanghai Public Security Bureau, 255 Yanzhong Road, Shanghai 200125, China
| | - Kaijun Ma
- Forensic Lab, Criminal Science and Technology Institute, Shanghai Public Security Bureau, 803 North Zhongshan Road, Shanghai 200082, China
| | - Bi Xiao
- Forensic Lab, Criminal Science and Technology Institute, Shanghai Public Security Bureau, 803 North Zhongshan Road, Shanghai 200082, China.
| | - Long Chen
- Department of Forensic Medicine, School of Basic Medical Sciences, Fudan University, 131Dongan Road, Shanghai 200032, China.
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