• Title/Summary/Keyword: In vitro modeling

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Benchmark Dose Modeling of In Vitro Genotoxicity Data: a Reanalysis

  • Guo, Xiaoqing;Mei, Nan
    • Toxicological Research
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    • v.34 no.4
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    • pp.303-310
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    • 2018
  • The methods of applied genetic toxicology are changing from qualitative hazard identification to quantitative risk assessment. Recently, quantitative analysis with point of departure (PoD) metrics and benchmark dose (BMD) modeling have been applied to in vitro genotoxicity data. Two software packages are commonly used for BMD analysis. In previous studies, we performed quantitative dose-response analysis by using the PROAST software to quantitatively evaluate the mutagenicity of four piperidine nitroxides with various substituent groups on the 4-position of the piperidine ring and six cigarette whole smoke solutions (WSSs) prepared by bubbling machine-generated whole smoke. In the present study, we reanalyzed the obtained genotoxicity data by using the EPA's BMD software (BMDS) to evaluate the inter-platform quantitative agreement of the estimates of genotoxic potency. We calculated the BMDs for 10%, 50%, and 100% (i.e., a two-fold increase), and 200% increases over the concurrent vehicle controls to achieve better discrimination of the dose-responses, along with their BMDLs (the lower 95% confidence interval of the BMD) and BMDUs (the upper 95% confidence interval of the BMD). The BMD values and rankings estimated in this study by using the EPA's BMDS were reasonably similar to those calculated in our previous studies by using PROAST. These results indicated that both software packages were suitable for dose-response analysis using the mouse lymphoma assay and that the BMD modeling results from these software packages produced comparable rank orders of the mutagenic potency.

Homology Modeling and In Vitro Analysis for Characterization of Streptomyces peucetius CYP157C4

  • Rimal, Hemraj;Yu, Sang-Cheol;Jang, Jong Hwa;Oh, Tae-Jin
    • Journal of Microbiology and Biotechnology
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    • v.25 no.9
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    • pp.1417-1424
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    • 2015
  • In this study, we tried to characterize Streptomyces peucetius CYP157C4 with homology modeling using three cytochrome P450 (CYP) structures (CYP157C1, CYP164A2, and CYP107L1), having discovered that CYP157C4 lacks the ExxR motif that was considered invariant in all CYPs. We used Discovery Studio 3.5 to build our model after first assessing the stereochemical quality and side-chain environment, and a 7-ethoxycoumarin substrate was docked into the final model. The model-substrate complex allowed us to identify functionally important residues and validate the active-site architecture. We found a distance of 4.56 Å between the 7-ethoxycoumarin and the active site of the heme, and cloning and an in vitro assay of the CYP157C4 showed the dealkylation of the substrate. Since the details regarding this group of CYP structures are still unknown, the findings of this study may provide elucidation to assist with future efforts to find a legitimate substrate.

Blood-brain barrier-on-a-chip for brain disease modeling and drug testing

  • Cui, Baofang;Cho, Seung-Woo
    • BMB Reports
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    • v.55 no.5
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    • pp.213-219
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    • 2022
  • The blood-brain barrier (BBB) is an interface between cerebral blood and the brain parenchyma. As a gate keeper, BBB regulates passage of nutrients and exogeneous compounds. Owing to this highly selective barrier, many drugs targeting brain diseases are not likely to pass through the BBB. Thus, a large amount of time and cost have been paid for the development of BBB targeted therapeutics. However, many drugs validated in in vitro models and animal models have failed in clinical trials primarily due to the lack of an appropriate BBB model. Human BBB has a unique cellular architecture. Different physiologies between human and animal BBB hinder the prediction of drug responses. Therefore, a more physiologically relevant alternative BBB model needs to be developed. In this review, we summarize major features of human BBB and current BBB models and describe organ-on-chip models for BBB modeling and their applications in neurological complications.

Addressing Early Life Sensitivity Using Physiologically Based Pharmacokinetic Modeling and In Vitro to In Vivo Extrapolation

  • Yoon, Miyoung;Clewell, Harvey J. III
    • Toxicological Research
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    • v.32 no.1
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    • pp.15-20
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    • 2016
  • Physiologically based pharmacokinetic (PBPK) modeling can provide an effective way to utilize in vitro and in silico based information in modern risk assessment for children and other potentially sensitive populations. In this review, we describe the process of in vitro to in vivo extrapolation (IVIVE) to develop PBPK models for a chemical in different ages in order to predict the target tissue exposure at the age of concern in humans. We present our on-going studies on pyrethroids as a proof of concept to guide the readers through the IVIVE steps using the metabolism data collected either from age-specific liver donors or expressed enzymes in conjunction with enzyme ontogeny information to provide age-appropriate metabolism parameters in the PBPK model in the rat and human, respectively. The approach we present here is readily applicable to not just to other pyrethroids, but also to other environmental chemicals and drugs. Establishment of an in vitro and in silico-based evaluation strategy in conjunction with relevant exposure information in humans is of great importance in risk assessment for potentially vulnerable populations like early ages where the necessary information for decision making is limited.

Neural Organoids, a Versatile Model for Neuroscience

  • Lee, Ju-Hyun;Sun, Woong
    • Molecules and Cells
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    • v.45 no.2
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    • pp.53-64
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    • 2022
  • Three-dimensional cultures of human neural tissue/organlike structures in vitro can be achieved by mimicking the developmental processes occurring in vivo. Rapid progress in the field of neural organoids has fueled the hope (and hype) for improved understanding of brain development and functions, modeling of neural diseases, discovery of new drugs, and supply of surrogate sources of transplantation. In this short review, we summarize the state-of-the-art applications of this fascinating tool in various research fields and discuss the reality of the technique hoping that the current limitations will soon be overcome by the efforts of ingenious researchers.

Measures of micromotion in cementless femoral stems-review of current methodologies

  • Solitro, Giovanni F;Whitlock, Keith;Amirouche, Farid;Santis, Catherine
    • Biomaterials and Biomechanics in Bioengineering
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    • v.3 no.2
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    • pp.85-104
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    • 2016
  • Stability and loosening of implanted femoral stems in Total Hip Replacement have been well established as barriers to the primary concerns of osseointegration and long term implant survival. In-vitro experiments and finite element modeling have for years been used as a primary tool to assess the bone stem interface with variable methodologies leading to a wide range of micromotion, interference fit and stress shielding values in the literature. The current study aims to provide a comprehensive review of currently utilized methodologies for in-vitro mechanical testing as well as finite element modeling of both micromotion and interference of implanted femoral stems. A total of 12 studies detailed in 33 articles were selected for inclusion. Experimental values of micromotion ranged from 12 to $182{\mu}m$ while finite element analysis reported a wider range from 2.74 to $1,277{\mu}m$. Only two studies were found that modeled bone/implant contact with consideration for interference fit. In studies evaluating stem micromotion in THA, the reference surface at the bone/stem interface should be well defined. Additionally, the amount of penetration considered should be disclosed and associated with bone density and roughness.

DNA Computing for In Vitro Regulatory Machinery Modeling (In Vitro 조절 기전 모델링을 위한 DNA 컴퓨팅)

  • 남진우;정제균;장병탁
    • Proceedings of the Korean Information Science Society Conference
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    • 2003.10a
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    • pp.67-69
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    • 2003
  • 바이오네트웍 모델링은 유전자네트웍, 단백질네트웍, 대사회로, 신호전달회로네트웍등에 대하여 각 요소간의 관계를 그래프이론을 통하여 표현하는 작업을 말한다. 특히 조절네트웍의 모델링은 다양한 생물학적 실험 데이터로부터 단백질들간의 활성과 불활성 관계를 유추해내는 것을 말한다. 현재 조절네트웍 모델링을 위한 다양한 알고리즘들이 개발되어 있으나 응용적인 측면에서 유추된 네트웍은 활용성이 부족하다. 본 논문에서는 In Vitro상에서 DNA 컴퓨팅을 이용하여 간단한 연산을 수행함으로서 유전자 조절 기전을 모델링하고자 한다. 이러한 방법의 장점은 DNA컴퓨팅의 연산이 세포의 현재 또는 다음 상태를 In Vivo 상에서 구현되어 진단 등의 문제에 응용될 수 있다는 가능성을 제시해 준다는 것이다.

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A Study on Fabrication of 3D Dual Pore Scaffold by Fused Deposition Modeling and Salt-Leaching Method (열 용해 적층법과 염 침출법을 이용한 3 차원 이중 공 인공지지체 제작에 관한 연구)

  • Shim, Hae-Ri;Kim, Jong Young
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.39 no.12
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    • pp.1229-1235
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    • 2015
  • Scaffold fabrication technology using a 3D printer was developed for damaged bone tissue regeneration. A scaffold for bone tissue regeneration application should be biocompatible, biodegradable, and have an adequate mechanical strength. Moreover, the scaffold should have pores of satisfactory quantity and interconnection. In this study, we used the polymer deposition system (PDS) based on fused deposition modeling (FDM) to fabricate a 3D scaffold. The materials used were polycaprolactone (PCL) and alginic acid sodium salt (sodium alginate, SA). The salt-leaching method was used to fabricate dual pores on the 3D scaffold. The 3D scaffold with dual pores was observed using SEM-EDS (scanning electron microscope-energy dispersive spectroscopy) and evaluated through in-vitro tests using MG63 cells.

Application of Physiologically Based Pharmacokinetic (PBPK) Modeling in Prediction of Pediatric Pharmacokinetics (생리학 기반 약물동태(PBPK, Physiologically Based Pharmacokinetic) 모델링을 이용한 소아 약물 동태 예측 연구)

  • Shin, Na-Young;Park, Minho;Shin, Young Geun
    • YAKHAK HOEJI
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    • v.59 no.1
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    • pp.29-39
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    • 2015
  • In recent years, physiologically based pharmacokinetic (PBPK) modeling has been widely used in pharmaceutical industries as well as regulatory health authorities for drug discovery and development. Several application areas of PBPK have been introduced so far including drug-drug interaction prediction, transporter-mediated interaction prediction, and pediatric PK prediction. The purpose of this review is to introduce PBPK and illustrates one of its application areas, particularly pediatric PK prediction by utilizing existing adult PK data and in vitro data. The evaluation of the initial PBPK for adult was done by comparing with experimental PK profiles and the scaling from adult to pediatric was conducted using age-related changes in size such as tissue compartments, and protein binding etc. Sotalol and lorazepam were selected in this review as model drugs for this purpose and were re-evaluated using the PBPK models by GastroPlus$^{(R)}$. The challenges and strategies of PBPK models using adult PK data as well as appropriate in vitro assay data for extrapolating pediatric PK at various ages were also discussed in this paper.