Arti Ahluwalia

Prof. Arti Ahluwalia


Research Focus & Metrics

Academic Career Length

36Years (1991-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2003 in Biomaterials
Verified
Journal Article
Closed access
Giovanni VozziGiovanni Vozzi
Giovanni Vozzi
CFChristopher Flaim
Christopher Flaim
AAArti Ahluwalia
Arti Ahluwalia
SBSangeeta Bhatia
Sangeeta Bhatia

27 April 2005 in Biomacromolecules
Verified
Journal Article
Closed access
Gianluca CiardelliGianluca Ciardelli
Gianluca Ciardelli
VCValeria Chiono
Valeria Chiono
Giovanni VozziGiovanni Vozzi
Giovanni Vozzi
Mariano PracellaMariano Pracella
Mariano Pracella
AAArti Ahluwalia
Arti Ahluwalia
PGPaolo Giusti
Paolo Giusti

1 August 2007 in Journal of Materials Science: Materials in Medicine
Verified
Journal Article
Closed access
PDF file
VCValeria Chiono
Valeria Chiono
EPEttore Pulieri
Ettore Pulieri
Giovanni VozziGiovanni Vozzi
Giovanni Vozzi
Gianluca CiardelliGianluca Ciardelli
Gianluca Ciardelli
AAArti Ahluwalia
Arti Ahluwalia
PGPaolo Giusti
Paolo Giusti

1 December 2002 in Tissue Engineering
Verified
Journal Article
Closed access
Giovanni VozziGiovanni Vozzi
Giovanni Vozzi
APA. Previti
A. Previti
DRD. De Rossi
D. De Rossi
AAArti Ahluwalia
Arti Ahluwalia
A technique for controlled deposition of biomaterials and cells in specific and complex architectures is described. It employs a highly accurate three-dimensional micropositioning system with a pressure-controlled syringe to deposit biopolymer structures with a lateral resolution of 5 microm. The pressure-activated microsyringe is equipped with a fine-bore exit needle and a wide variety of two- and three-dimensional patterns on which cells to be deposited can adhere. The system has been characterized in terms of deposition parameters such as applied pressure, motor speed, line width and height, and polymer viscosity, and a fluid dynamic model simulating the deposition process has been developed, allowing an accurate prediction of the topological characteristics of the polymer structures.

18 June 2019 in Frontiers in Bioengineering and Biotechnology
Verified
Journal Article
Open access
PDF file
JCJoana Costa
Joana Costa
AAArti Ahluwalia
Arti Ahluwalia
The physiological environment of the intestine is characterized by its variegated composition, numerous functions and unique dynamic conditions, making it challenging to recreate the organ in vitro. This review outlines the requirements for engineering physiologically relevant intestinal in vitro models, mainly focusing on the importance of the mechano-structural cues that are often neglected in classic cell culture systems. More precisely: the topography, motility and flow present in the intestinal epithelium. After defining quantitative descriptors for these features, we describe the current state of the art, citing relevant approaches used to address one (or more) of the elements in question, pursuing a progressive conceptual construction of an “ideal” biomimetic intestinal model. The review concludes with a critical assessment of the currently available methods to summarize the important features of the intestinal tissue in the light of their different applications.

11 September 2018 in Lab on a Chip
Verified
Journal Article
Open access
PDF file
EBEmanuel Berger
Emanuel Berger
CMChiara Magliaro
Chiara Magliaro
NPNicole Paczia
Nicole Paczia
AMAnna S. Monzel
Anna S. Monzel
PAPaul Antony
Paul Antony
JSJens Schwamborn
Jens Schwamborn
Human midbrain-specific organoids (hMOs) serve as an experimental in vitro model for studying the pathogenesis of Parkinson's disease (PD). In hMOs, neuroepithelial stem cells (NESCs) give rise to functional midbrain dopaminergic (mDA) neurons that are selectively degenerating during PD. A limitation of the hMO model is an under-supply of oxygen and nutrients to the densely packed core region, which leads eventually to a “dead core”. To reduce this phenomenon, we applied a millifluidic culture system that ensures media supply by continuous laminar flow. We developed a computational model of oxygen transport and consumption in order to predict oxygen levels within the hMOs. The modelling predicts higher oxygen levels in the hMO core region under millifluidic conditions. In agreement with the computational model, a significantly smaller “dead core” was observed in hMOs cultured in a bioreactor system compared to those ones kept under conventional shaking conditions. Comparing the necrotic core regions in the organoids with those obtained from the model allowed an estimation of the critical oxygen concentration necessary for ensuring cell vitality. Besides the reduced “dead core” size, the differentiation efficiency from NESCs to mDA neurons was elevated in hMOs exposed to medium flow. Increased differentiation involved a metabolic maturation process that was further developed in the millifluidic culture. Overall, bioreactor conditions that improve hMO quality are worth considering in the context of advanced PD modelling.