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Articles 1 - 4 of 4
Full-Text Articles in Other Medical Specialties
Modeling And Analysis Of The Intrinsic Cardiac Nervous System In Closed-Loop Cardiovascular Control, Michelle M. Gee, Abraham M. Lenhoff, James S. Schwaber, Babatunde A. Ogunnaike, Rajanikanth Vadigepalli
Modeling And Analysis Of The Intrinsic Cardiac Nervous System In Closed-Loop Cardiovascular Control, Michelle M. Gee, Abraham M. Lenhoff, James S. Schwaber, Babatunde A. Ogunnaike, Rajanikanth Vadigepalli
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
The baroreceptor reflex is a multi-input, multi-output physiological control system that regulates short-term blood pressure by modulating nerve activity between the brainstem and the heart. The computational model by Park et al. (2020) is the most recent iteration in our exploration of the system. However, the contributions of”the little brain of the heart”, the intrinsic cardiac nervous system (ICN), to local control of the heart and to the integration of sensory information is unknown and has been overlooked in previous models. We have incorporated a high-fidelity representation of the ICN into a model of the baroreceptor reflex based on anatomical, …
Patient-Specific Genome-Scale Metabolic Models For Individualized Predictions Of Liver Disease, Alexandra Manchel, Jan B. Hoek, Ramon Bataller, Radhakrishnan Mahadevan, Rajanikanth Vadigepalli
Patient-Specific Genome-Scale Metabolic Models For Individualized Predictions Of Liver Disease, Alexandra Manchel, Jan B. Hoek, Ramon Bataller, Radhakrishnan Mahadevan, Rajanikanth Vadigepalli
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
The prevalence of liver disease is steadily increasing, coupled with the limited availability of therapeutic treatments. Recent literature points to metabolic reprogramming as a key feature of liver failure. Hence, we sought to uncover the metabolic pathways and mechanisms associated with liver disease and acute liver failure. We generated patient-specific genome scale metabolic models by integrating RNA-seq data from patient liver samples with a generalized human metabolic model. Flux balance analysis simulations showed a distinct separation of non-alcohol associated and alcohol-associated disease states. Our analysis suggests that the alcohol associated liver has an increased flux through nucleotide and glycerophospholipid metabolic …
Necrostatin-1 Analogues: Critical Issues On The Specificity, Activity And In Vivo Use In Experimental Disease Models., N Takahashi, L Duprez, S Grootjans, A Cauwels, W Nerinckx, J B Duhadaway, V Goossens, R Roelandt, F Van Hauwermeiren, C Libert, W Declercq, N Callewaert, G C Prendergast, A Degterev, J Yuan, P Vandenabeele
Necrostatin-1 Analogues: Critical Issues On The Specificity, Activity And In Vivo Use In Experimental Disease Models., N Takahashi, L Duprez, S Grootjans, A Cauwels, W Nerinckx, J B Duhadaway, V Goossens, R Roelandt, F Van Hauwermeiren, C Libert, W Declercq, N Callewaert, G C Prendergast, A Degterev, J Yuan, P Vandenabeele
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
Necrostatin-1 (Nec-1) is widely used in disease models to examine the contribution of receptor-interacting protein kinase (RIPK) 1 in cell death and inflammation. We studied three Nec-1 analogs: Nec-1, the active inhibitor of RIPK1, Nec-1 inactive (Nec-1i), its inactive variant, and Nec-1 stable (Nec-1s), its more stable variant. We report that Nec-1 is identical to methyl-thiohydantoin-tryptophan, an inhibitor of the potent immunomodulatory enzyme indoleamine 2,3-dioxygenase (IDO). Both Nec-1 and Nec-1i inhibited human IDO, but Nec-1s did not, as predicted by molecular modeling. Therefore, Nec-1s is a more specific RIPK1 inhibitor lacking the IDO-targeting effect. Next, although Nec-1i was ∼100 × …
Systems-Level Interactions Between Insulin-Egf Networks Amplify Mitogenic Signaling., Nikolay Borisov, Edita Aksamitiene, Anatoly Kiyatkin, Stefan Legewie, Jan Berkhout, Thomas Maiwald, Nikolai P Kaimachnikov, Jens Timmer, Jan B Hoek, Boris N Kholodenko
Systems-Level Interactions Between Insulin-Egf Networks Amplify Mitogenic Signaling., Nikolay Borisov, Edita Aksamitiene, Anatoly Kiyatkin, Stefan Legewie, Jan Berkhout, Thomas Maiwald, Nikolai P Kaimachnikov, Jens Timmer, Jan B Hoek, Boris N Kholodenko
Department of Pathology, Anatomy, and Cell Biology Faculty Papers
Crosstalk mechanisms have not been studied as thoroughly as individual signaling pathways. We exploit experimental and computational approaches to reveal how a concordant interplay between the insulin and epidermal growth factor (EGF) signaling networks can potentiate mitogenic signaling. In HEK293 cells, insulin is a poor activator of the Ras/ERK (extracellular signal-regulated kinase) cascade, yet it enhances ERK activation by low EGF doses. We find that major crosstalk mechanisms that amplify ERK signaling are localized upstream of Ras and at the Ras/Raf level. Computational modeling unveils how critical network nodes, the adaptor proteins GAB1 and insulin receptor substrate (IRS), Src kinase, …