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Vankayala R, Mac JT, Burns JM, Dunn E, Carroll S, Bahena EM, Patel DK, Griffey S, Anvari B. Biodistribution and toxicological evaluation of micron- and nano-sized erythrocyte-derived optical particles in healthy Swiss Webster mice. Biomater Sci 2019; 7:2123-2133. [PMID: 30869663 PMCID: PMC9844153 DOI: 10.1039/c8bm01448e] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Particle-based systems provide a capability for the delivery of imaging and/or therapeutic payloads. We have engineered constructs derived from erythrocytes, and doped with the FDA-approved near infrared dye, indocyanine green (ICG). We refer to these optical particles as NIR erythrocyte-mimicking transducers (NETs). A particular feature of NETs is that their diameters can be tuned from micron- to nano-scale. Herein, we investigated the effects of micron- (≈2.6 μm diameter), and nano- (≈145 nm diameter) sized NETs on their biodistribution, and evaluated their acute toxicity in healthy Swiss Webster mice. Following tail vein injection of free ICG and NETs, animals were euthanized at various time points up to 48 hours. Fluorescence analysis of blood showed that nearly 11% of the injected amount of nano-sized NETs (nNETs) remained in blood at 48 hours post-injection as compared to ≈5% for micron-sized NETs (μNETs). Similarly, at this time point, higher levels of nNETs were present in various organs including the lungs, liver, and spleen. Histological analyses of various organs, extracted at 24 hours post-injection of NETs, did not show pathological alterations. Serum biochemistry profiles, in general, did not show elevated levels of the various analyzed biomarkers associated with liver and kidney functions. Values of various hematological profiles remained within the normal ranges following the administration of μNETs and nNETs. Results of this study suggest that erythrocyte-derived particles can potentially provide a non-toxic platform for delivery of ICG.
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Affiliation(s)
- Raviraj Vankayala
- Department of Bioengineering, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA
| | - Jenny T. Mac
- Department of Biochemistry, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA
| | - Joshua M. Burns
- Department of Bioengineering, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA
| | - Eugene Dunn
- Comparative Pathology Laboratory, School of Veterinary Medicine, University of California, Davis, Sacramento, CA 95616, USA
| | - Stefanie Carroll
- Comparative Pathology Laboratory, School of Veterinary Medicine, University of California, Davis, Sacramento, CA 95616, USA
| | - Edver M. Bahena
- Department of Bioengineering, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA
| | - Dipti K. Patel
- Department of Bioengineering, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA
| | - Stephen Griffey
- Comparative Pathology Laboratory, School of Veterinary Medicine, University of California, Davis, Sacramento, CA 95616, USA
| | - Bahman Anvari
- Department of Bioengineering, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA,Department of Biochemistry, University of California, Riverside, 900 University Avenue, Riverside, CA 92521, USA
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Sponholz C, Gonnert FA, Kortgen A, Bauer M. [Monitoring of liver function in the critically ill]. Anaesthesist 2015; 63:603-12; quiz 613-4. [PMID: 24997165 DOI: 10.1007/s00101-014-2326-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Liver failure and hepatic dysfunction represent diagnostic and therapeutic challenges for the intensivist. Besides acute liver failure, hypoxic hepatitis, sepsis and (secondary) sclerosing cholangitis may lead to massive liver dysfunction with subsequent multiorgan dysfunction syndrome that limits survival. Among classical laboratory parameters (so-called static liver parameters) liver function tests may help with the diagnosis to allow early treatment or prevention of liver dysfunction. The aim of this article is to present the current aspects of liver function monitoring and to provide guidelines to the intensivist for diagnosing liver dysfunction in the intensive care setting.
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Affiliation(s)
- C Sponholz
- Klinik für Anästhesiologie und Intensivmedizin, Universitätsklinikum Jena, Erlanger Allee 101, 07747, Jena, Deutschland,
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Abstract
PURPOSE OF REVIEW The liver comprises a multitude of parenchymal and nonparenchymal cells with diverse metabolic, hemodynamic and immune functions. Available monitoring options consist of 'static' laboratory parameters, quantitative tests of liver function based on clearance, elimination or metabolite formation and scores, most notably the 'model for end-stage liver disease'. This review aims at balancing conventional markers against 'dynamic' tests in the critically ill. RECENT FINDINGS There is emerging evidence that conventional laboratory markers, most notably bilirubin, and the composite model for end-stage liver disease are superior to assess cirrhosis and their acute decompensation, while dynamic tests provide information in the absence of preexisting liver disease. Bilirubin and plasma disappearance rate of indocyanine green reflecting static and dynamic indicators of excretory dysfunction prognosticate unfavorable outcome, both, in the absence and presence of chronic liver disease better than other functions or indicators of injury. Although dye excretion is superior to conventional static parameters in the critically ill, it still underestimates impaired canalicular transport, an increasingly recognized facet of excretory dysfunction. SUMMARY Progress has been made in the last year to weigh static and dynamic tests to monitor parenchymal liver functions, whereas biomarkers to assess nonparenchymal functions remain largely obscure.
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