Near-Infrared Monoamine Oxidase Inhibitor Biodistribution in a Glioma Mouse Model

Irwin, Ronald W.; Escobedo, Alesi R; Shih, Jean C.

doi:10.1007/s11095-021-03012-0

Cited by 6 publications

(6 citation statements)

References 19 publications

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“…NMI is reportedly upregulated in glioma tissues and may play an important role in the development of GBM through inflammatory responses [ 51 ]. In another previous study using a glioma mouse model, higher expression of NMI is even more frequently detected in glioma tissues as compared to the adjacent nonneoplastic brain tissues, thus confirming the diagnostic utility [ 52 ]. Moreover, NFKBIA can serve as a promising prognostic marker for those with an advanced grade of gliomas [ 53 ].…”

Section: Discussionmentioning

confidence: 54%

Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients

Yan

Gao

Jing

et al. 2022

Journal of Immunology Research

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Background. Glioma is the most common primary brain tumor with high mortality and poor outcomes. As a hallmark of cancers, inflammatory responses are crucial for their progression. The present study is aimed at exploring the prognostic value of inflammatory response-related genes (IRRGs) and constructing a prognostic IRRG signature for gliomas. Materials and Methods. We investigated the relationship between IRRGs and gliomas by integrating the transcriptomic data for gliomas from public databases. Differentially expressed IRRGs (DE-IRRGs) were identified in the GSE4290 cohort. Further, univariate, least absolute shrinkage and selection operator, and multivariate Cox regression analyses were conducted to construct an IRRG signature using The Cancer Genome Atlas (TCGA) cohort. Gliomas from the Chinese Glioma Genome Atlas (CGGA) cohort were employed for independent validation. The performance of gene signature was assessed by survival and receiver operating characteristic curve analyses. The differences in clinical correlations, immune infiltrate types, immunotherapeutic response predictions, and pathway enrichment among subgroups were investigated via bioinformatic algorithms. Results. In total, 37 DE-IRRGs were determined, of which 31 were found to be associated with survival. Ultimately, eight genes were retained to construct an IRRG signature that further classified glioma patients into two groups; the high-risk group suffered a poorer outcome as compared to the low-risk group. Furthermore, the high-risk group was significantly correlated with several risk factors, including older age, higher tumor grade, IDH wild type, 1p19q noncodel, and MGMT unmethylation. The nomogram was constructed by integrating the risk scores and other independent clinical characteristics. Moreover, the high-risk group had a greater immune infiltration and was most likely to benefit from immunotherapy. Gene set enrichment analysis suggested that immune and oncogenic pathways were enriched in high-risk glioma patients. Conclusion. We constructed a signature composed of eight IRRGs for gliomas, which could effectively predict survival and guide decision-making for treatment.

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Section: Discussionmentioning

confidence: 54%

Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients

Yan

Gao

Jing

et al. 2022

Journal of Immunology Research

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“…It was then that Chung, Shi, and other groups reported that cyanine dyes containing a central 4-chlorocyclohexyl ring could accumulate and persist in solid tumors. 65,[89][90][91][92] As a result, Prof. Burgess and Prof. Goncalves proposed that these dyes with meso-Cl could directly label cysteine residues of albumin under mild conditions, such as 37 1C in PBS buffer. For example, Prof. Burgess conducted a long-term evaluation of the efficacy of Cl-containing cyanine dyes for labeling subcellular triple negative breast tumors (E0771) by comparing dyes with and without meso-Cl (Fig.…”

Section: In Situ Albumin-binding Of Cl-containing Cyanine Dyes For Ta...mentioning

confidence: 99%

“…The binding of Cl-containing cyanine dyes to albumin allows for the storage of albumin conjugates in cells for a prolonged period, thus making the utilization of dye side chains for drug delivery as an effective approach. 92,99 The combination of dasatinib (a Lyn and Src kinase inhibitor) and MHI-148 to form the conjugate KI-Cy has proven to be successful, exhibiting superior potency against the U87 glioblastoma cell line (Fig. 9).…”

Section: Cl-containing Cyanine Dyes With a Cargo For Efficient Drug D...mentioning

confidence: 99%

Site-specific albumin tagging with chloride-containing near-infrared cyanine dyes: molecular engineering, mechanism, and imaging applications

Su,

Zhang,

Zhu

2023

Chem. Commun.

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“…Using in vivo NIR imaging, NANG/PLGA/DTX/ICG NPs modified with the brain-targeting peptide angiopep-2 demonstrated the “uptake—distribution—clearance” process in the brain region, with the drug concentration in the brain low at 1 h, peaking at 2 h and decreasing again at 4 h. Brain distribution imaging provides a basis for the application of brain-targeting nanoparticles in glioma [ 18 ] ( Figure 2 C). Ronald et al [ 19 ] monitored the biodistribution kinetics of the near-infrared monoamine oxidase inhibitor (NMI) based on total tissue signal intensity at different time points. The NMI imaging signal of intracranially implanted glioma mice GL26 showed that the maximum signal was reached at 48 h in the brain, tumor and other important organ tissues, with the best brain imaging signal (tumor/non-tumor ratio > 3.5) and small off-target distribution.…”

Section: Optical Imaging For Assessing Intracerebral Pharmacokineticsmentioning

confidence: 99%

Imaging Technologies for Cerebral Pharmacokinetic Studies: Progress and Perspectives

2022

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Pharmacokinetic assessment of drug disposition processes in vivo is critical in predicting pharmacodynamics and toxicology to reduce the risk of inappropriate drug development. The blood–brain barrier (BBB), a special physiological structure in brain tissue, hinders the entry of targeted drugs into the central nervous system (CNS), making the drug concentrations in target tissue correlate poorly with the blood drug concentrations. Additionally, once non-CNS drugs act directly on the fragile and important brain tissue, they may produce extra-therapeutic effects that may impair CNS function. Thus, an intracerebral pharmacokinetic study was developed to reflect the disposition and course of action of drugs following intracerebral absorption. Through an increasing understanding of the fine structure in the brain and the rapid development of analytical techniques, cerebral pharmacokinetic techniques have developed into non-invasive imaging techniques. Through non-invasive imaging techniques, molecules can be tracked and visualized in the entire BBB, visualizing how they enter the BBB, allowing quantitative tools to be combined with the imaging system to derive reliable pharmacokinetic profiles. The advent of imaging-based pharmacokinetic techniques in the brain has made the field of intracerebral pharmacokinetics more complete and reliable, paving the way for elucidating the dynamics of drug action in the brain and predicting its course. The paper reviews the development and application of imaging technologies for cerebral pharmacokinetic study, represented by optical imaging, radiographic autoradiography, radionuclide imaging and mass spectrometry imaging, and objectively evaluates the advantages and limitations of these methods for predicting the pharmacodynamic and toxic effects of drugs in brain tissues.

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Near-Infrared Monoamine Oxidase Inhibitor Biodistribution in a Glioma Mouse Model

Cited by 6 publications

References 19 publications

Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients

Identification of an Inflammatory Response-Related Gene Signature to Predict Survival and Immune Status in Glioma Patients

Site-specific albumin tagging with chloride-containing near-infrared cyanine dyes: molecular engineering, mechanism, and imaging applications

Imaging Technologies for Cerebral Pharmacokinetic Studies: Progress and Perspectives

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