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Hao Y, Zheng C, Song Q, Chen H, Nan W, Wang L, Zhang Z, Zhang Y. Pressure-driven accumulation of Mn-doped mesoporous silica nanoparticles containing 5-aza-2-deoxycytidine and docetaxel at tumours with a dry cupping device. J Drug Target 2021; 29:900-909. [PMID: 33655819 DOI: 10.1080/1061186x.2021.1892117] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
Drug delivery with the help of nanoparticles could transport more payloads to tumour site. Owing to their limited accumulation and penetration in the tumour tissues, to increase delivery efficiency is currently still required for applying nanomedicine to treat tumour. Here, we initially report a pressure-driven accumulation of drug-loaded nanoparticles to tumours for efficient tumour therapy with a dry cupping device. The mesoporous Mn-doped silica based nanoparticles delivering 5-aza-2-deoxycytidine and docetaxel were prepared, characterised and used as a model nanomedicine to investigate the potential of dry cupping treatment. For this system, the Mn doping not only endowed the mesoporous silica nanoparticles biodegradability, but also made it much easier to bind a tumour targeting group, which is a G-quadruplex-forming aptamer AS1411. On tumour-bearing mice, the in vivo results demonstrated that the dry cupping treatment could substantially improve the distribution of nanomedicines at tumour site, resulting in enhanced treatment efficacy. Overall, this method enables the therapeutical nanoparticles accumulate to tumour through increasing the blood perfusion as well as altering the biological barrier, which opened up possibilities for the development of pressure-driven nanomedicine accumulation at tumour site.
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Affiliation(s)
- Yongwei Hao
- School of Life Sciences and Technology, Xinxiang Medical University, Xinxiang, PR China.,School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, PR China
| | - Cuixia Zheng
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, PR China
| | - Qingxia Song
- School of Life Sciences and Technology, Xinxiang Medical University, Xinxiang, PR China
| | - Hongli Chen
- School of Life Sciences and Technology, Xinxiang Medical University, Xinxiang, PR China
| | - Wenbin Nan
- School of Life Sciences and Technology, Xinxiang Medical University, Xinxiang, PR China
| | - Lei Wang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, PR China
| | - Zhenzhong Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, PR China
| | - Yun Zhang
- School of Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, PR China
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Liu R, Cai Y, Cai H, Lan Y, Meng L, Li Y, Peng B. Dynamic prediction for clinically relevant pancreatic fistula: a novel prediction model for laparoscopic pancreaticoduodenectomy. BMC Surg 2021; 21:7. [PMID: 33397337 PMCID: PMC7784027 DOI: 10.1186/s12893-020-00968-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2020] [Accepted: 11/17/2020] [Indexed: 02/08/2023] Open
Abstract
Background With the recent emerge of dynamic prediction model on the use of diabetes, cardiovascular diseases and renal failure, and its advantage of providing timely predicted results according to the fluctuation of the condition of the patients, we aim to develop a dynamic prediction model with its corresponding risk assessment chart for clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy by combining baseline factors and postoperative time-relevant drainage fluid amylase level and C-reactive protein-to-albumin ratio. Methods We collected data of 251 patients undergoing LPD at West China Hospital of Sichuan University from January 2016 to April 2019. We extracted preoperative and intraoperative baseline factors and time-window of postoperative drainage fluid amylase and C-reactive protein-to-albumin ratio relevant to clinically relevant pancreatic fistula by performing univariate and multivariate analyses, developing a time-relevant logistic model with the evaluation of its discrimination ability. We also established a risk assessment chart in each time-point. Results The proportion of the patients who developed clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy was 7.6% (19/251); preoperative albumin and creatine levels, as well as drainage fluid amylase and C-reactive protein-to-albumin ratio on postoperative days 2, 3, and 5, were the independent risk factors for clinically relevant postoperative pancreatic fistula. The cut-off points of the prediction value of each time-relevant logistic model were 14.0% (sensitivity: 81.9%, specificity: 86.5%), 8.3% (sensitivity: 85.7%, specificity: 79.1%), and 7.4% (sensitivity: 76.9%, specificity: 85.9%) on postoperative days 2, 3, and 5, respectively, the area under the receiver operating characteristic curve was 0.866 (95% CI 0.737–0.996), 0.896 (95% CI 0.814–0.978), and 0.888 (95% CI 0.806–0.971), respectively. Conclusions The dynamic prediction model for clinically relevant postoperative pancreatic fistula has a good to very good discriminative ability and predictive accuracy. Patients whose predictive values were above 14.0%, 8.3%, and 7.5% on postoperative days 2, 3, and 5 would be very likely to develop clinically relevant postoperative pancreatic fistula after laparoscopic pancreaticoduodenectomy.
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Affiliation(s)
- Runwen Liu
- West China Clinical Medicine Academy, Sichuan University, Chengdu, China.,Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Yunqiang Cai
- Department of General Surgery, Chengdu Shangjin Nanfu Hospital, Chengdu, China
| | - He Cai
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China
| | - Yajia Lan
- West China School of Public Health, SCU, Chengdu, China
| | - Lingwei Meng
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China.,Department of General Surgery, Chengdu Shangjin Nanfu Hospital, Chengdu, China
| | - Yongbin Li
- Department of General Surgery, Chengdu Shangjin Nanfu Hospital, Chengdu, China
| | - Bing Peng
- Department of Pancreatic Surgery, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, Sichuan Province, China. .,Department of General Surgery, Chengdu Shangjin Nanfu Hospital, Chengdu, China.
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