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Li Z, Lu X, Wu K, Wang J, Li Y, Li Y, Ren K, Han X. Graphene oxide-loaded rapamycin coating on airway stents inhibits stent-related granulation tissue hyperplasia. Eur J Cardiothorac Surg 2024; 66:ezae270. [PMID: 38980196 DOI: 10.1093/ejcts/ezae270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/13/2024] [Revised: 04/24/2024] [Accepted: 07/09/2024] [Indexed: 07/10/2024] Open
Abstract
OBJECTIVES Our objective was to explore the safety and efficacy of a graphene oxide-loaded rapamycin-coated self-expandable metallic airway stent (GO@RAPA-SEMS) in a rabbit model. METHODS The dip coating method was used to develop a GO@RAPA-SEMS and a poly(lactic-co-glycolic)-acid loaded rapamycin-coated self-expandable metallic airway stent (PLGA@RAPA-SEMS). The surface structure was evaluated using a scanning electronic microscope. The in vitro drug-release profiles of the 2 stents were explored and compared. In the animal study, a total of 45 rabbits were randomly divided into 3 groups and underwent 3 kinds of stent placements. Computed tomography was performed to evaluate the degree of stenosis at 1, 2 and 3 months after the stent operation. Five rabbits in each group were sacrificed after the computed tomography scan. The stented trachea and blood were collected for further pathological analysis and laboratory testing. RESULTS The in vitro drug-release study revealed that GO@RAPA-SEMS exhibited a sudden release on the first day and maintained a certain release rate on the 14th day. The PLGA@RAPA-SEMS exhibited a longer sustained release time. All 45 rabbits underwent successful stent placement. Pathological results indicated that the granulation tissue thickness in the GO@RAPA-SEMS group was less than that in the PLGA@RAPA-SEMS group. The TUNEL and hypoxia-inducible factor-1α staining results support the fact that the granulation inhibition effect in the GO@RAPA-SEMS group was greater than that in the PLGA@RAPA-SEMS group. CONCLUSIONS GO@RAPA-SEMS effectively inhibited stent-related granulation tissue hyperplasia.
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Affiliation(s)
- Zongming Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, China
| | - Xin Lu
- School of Chemical Engineering, Zhengzhou University, Zhengzhou, China
| | - Kunpeng Wu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, China
| | - Jing Wang
- School of Chemical Engineering, Zhengzhou University, Zhengzhou, China
| | - Yahua Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, China
| | - Yifan Li
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, China
| | - Kewei Ren
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, China
| | - Xinwei Han
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Institute of Zhengzhou University, Zhengzhou, Henan, China
- Interventional Treatment and Clinical Research Center of Henan Province, Zhengzhou, Henan, China
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Zaldarriaga Heredia J, Wagner M, Jofré FC, Savio M, Azcarate SM, Camiña JM. An overview on multi-elemental profile integrated with chemometrics for food quality assessment: toward new challenges. Crit Rev Food Sci Nutr 2022; 63:8173-8193. [PMID: 35319312 DOI: 10.1080/10408398.2022.2055527] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Food products, especially those with high value-added, are commonly subjected to strict quality controls, which are of paramount importance, especially for attesting to some peculiar features related, for instance, to their geographical origin and/or the know-how of their producers. However, the sophistication of fraudulent practices requires a continuous update of analytical platforms. Different analytical techniques have become extremely appealing since the instrumental analysis tools evolution has substantially improved the capability to reveal and understand the complexity of food. In light of this, multi-elemental composition has been successful implemented solving a plethora of food authentication and traceability issues. In the last decades, it has existed an ever-increasing trend in analysis based on spectrometry analytical platforms in order to obtain a multi-elemental profile that combined with chemometrics have been noteworthy analytical methodologies able to solve these problems. This review provides an overview of published reports in the last decade (from 2011 to 2021) on food authentication and quality control from their multi-element composition in order to evaluate the state-of-the-art of this field and to identify the main characteristics of applied analytical techniques and chemometric data treatments that have permit achieve accurate discrimination/classification models, highlighting the strengths and the weaknesses of these methodologies.
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Affiliation(s)
- Jorgelina Zaldarriaga Heredia
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - Marcelo Wagner
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
| | - Florencia Cora Jofré
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - Marianela Savio
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - Silvana Mariela Azcarate
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
| | - José Manuel Camiña
- Instituto de Ciencias de la Tierra y Ambientales de La Pampa (INCITAP-CONICET), Santa Rosa, La Pampa, Argentina
- Facultad de Ciencias Exactas y Naturales, Universidad Nacional de La Pampa (UNLPam), Santa Rosa, La Pampa, Argentina
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