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Al‐kharboosh, Rawan

0000-0003-4966-672X

Mayo Clinic

Atpoint tx, Washington, District of Columbia, USA;

Citations 12

Mimicking Human Pathophysiology in Organ‐on‐Chip Devices
Hassan, Shabir , Miri, Amir K. , Maharjan, Sushila , Al‐kharboosh, Rawan , Quiñones‐Hinojosa, Alfredo , Zhang, Yu Shrike , Zhang, Yu Shrike , Yeşil-Çeliktaş, Özlem , Maharjan, Sushila

Advanced Biosystems | August 14, 2018 | Volume: 2 | Issue: 10 | Pages: No page available

10.1002/adbi.201800109 Get It

AbstractConvergence of life sciences, engineering, and basic sciences has opened new horizons for biologically inspired innovations, and a considerable number of organ‐on‐a‐chip platforms have been developed for mimicking physiological systems of biological organs such as the brain, heart, lung, kidney, liver, and gut. Various biophysicochemical factors can also be introduced into such organ‐on‐a‐chip platforms to study metabolic and systemic effects spanning from drug toxicity to different pathologic manifestations. There is also a pressing need to develop better disease models for common pathologies using variations of these platforms. This can be achieved by recapitulating the unique microenvironment of a disease to investigate the cause and development of abnormal conditions as well as the structural and functional changes resulting from such a pathology. In this review, the organ‐on‐a‐chip platforms that have been developed to model different pathologies of neurodegenerative, cardiovascular, respiratory, hepatic, and digestive systems, along with cancer are summarized. Although the field is still in its infancy, it is anticipated that developing disease model‐on‐a‐chip platforms will likely be a valuable addition to the field of disease modeling, pathology studies, and improved drug discovery.
Advances in Brain Tumor Surgery for Glioblastoma in Adults
Lara‐Velazquez, Montserrat , Al‐kharboosh, Rawan , Jeanneret, Stéphanie , Vazquez-Ramos, Carla , Mahato, Deependra, Tavanaiepour, Daryoush , Rahmathulla, Gazanfar , Quiñones‐Hinojosa, Alfredo

Brain Sciences | December 20, 2017 | Volume: 7 | Issue: 12 | Pages: 166

10.3390/brainsci7120166 Get It

Glioblastoma (GBM) is the most common primary intracranial neoplasia, and is characterized by its extremely poor prognosis. Despite maximum surgery, chemotherapy, and radiation, the histological heterogeneity of GBM makes total eradication impossible, due to residual cancer cells invading the parenchyma, which is not otherwise seen in radiographic images. Even with gross total resection, the heterogeneity and the dormant nature of brain tumor initiating cells allow for therapeutic evasion, contributing to its recurrence and malignant progression, and severely impacting survival. Visual delimitation of the tumor’s margins with common surgical techniques is a challenge faced by many surgeons. In an attempt to achieve optimal safe resection, advances in approaches allowing intraoperative analysis of cancer and non-cancer tissue have been developed and applied in humans resulting in improved outcomes. In addition, functional paradigms based on stimulation techniques to map the brain’s electrical activity have optimized glioma resection in eloquent areas such as the Broca’s, Wernike’s and perirolandic areas. In this review, we will elaborate on the current standard therapy for newly diagnosed and recurrent glioblastoma with a focus on surgical approaches. We will describe current technologies used for glioma resection, such as awake craniotomy, fluorescence guided surgery, laser interstitial thermal therapy and intraoperative mass spectrometry. Additionally, we will describe a newly developed tool that has shown promising results in preclinical experiments for brain cancer: optical coherence tomography.