4.5 Article

Patient specific modeling of the HPA axis related to clinical diagnosis of depression

期刊

MATHEMATICAL BIOSCIENCES
卷 287, 期 -, 页码 24-35

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.mbs.2016.10.007

关键词

Depression; HPA axis; Patient specific; Mathematical modeling; Non-linear ODE model; Parameter estimation; Clinical impact; Bio-marker

向作者/读者索取更多资源

A novel model of the hypothalamic-pituitary-adrenal axis is presented. The axis is an endocrine system responsible for coping with stress and it is likely to be involved in depression. The dynamics of the system is studied and existence, uniqueness and positivity of the solution and the existence of an attracting trapping region are proved. The model is calibrated and compared to data for healthy and depressed subjects. A sensitivity analysis resulting in a set of identifiable physiological parameters is provided. A subset is selected for parameter estimation and a reduced version of the model is stated and an approximated version is discussed. The model is physiologically based, thus parameters are representative for gland functions or elimination processes. Hence the model may be used for pointing out pathologies by parameter estimation and hypothesis testing whereby it may be used as an objective and refined method for diagnosing depression and suggesting individual treatment protocols. Finally, the method may inspire pharmaceutical companies to develop target specific psychopharmaca for more effective and individual treatment. (C) 2016 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Biology

Bridging blood cancers and inflammation: The reduced Cancitis model

Johnny T. Ottesen, Rasmus K. Pedersen, Zamra Sajid, Johanne Gudmand-Hoeyer, Katrine O. Bangsgaard, Vibe Skov, Lasse Kjaer, Trine A. Knudsen, Niels Pallisgaard, Hans C. Hasselbalch, Morten Andersen

JOURNAL OF THEORETICAL BIOLOGY (2019)

Article Hematology

Data-driven analysis of the kinetics of the JAK2V617F allele burden and blood cell counts during hydroxyurea treatment of patients with polycythemia vera, essential thrombocythemia, and primary myelofibrosis

Marc J. B. Dam, Rasmus K. Pedersen, Trine A. Knudsen, Morten Andersen, Vibe Skov, Lasse Kjaer, Hans C. Hasselbalch, Johnny T. Ottesen

Summary: The study suggests that for patients with myeloproliferative neoplasms (MPNs), treatment with Hydroxyurea does not lead to a sustained decrease in the JAK2V617F allele burden or sustained normalization of elevated cell counts.

EUROPEAN JOURNAL OF HAEMATOLOGY (2021)

Article Oncology

Potential of Immunotherapies in Treating Hematological Cancer-Infection Comorbidities-A Mathematical Modelling Approach

Johnny T. Ottesen, Morten Andersen

Summary: This study presents and analyzes a novel mechanism-based computational model coupling cancer and infection to the adaptive immune system. The research finds that the progression of cancer and the effectiveness of treatments depend on various factors, including cancer burden, infection level, and adaptive immune system efficiency. Early treatment is crucial for disease remission. CAR T-cell Immunotherapy shows improved efficacy when combined with antibiotics or immunomodulation.

CANCERS (2021)

Article Oncology

A novel integrated biomarker index for the assessment of hematological responses in MPNs during treatment with hydroxyurea and interferon-alpha2

Marc J. B. Dam, Rasmus K. Pedersen, Trine A. Knudsen, Morten Andersen, Christina Ellervik, Morten Kranker Larsen, Lasse Kjaer, Vibe Skov, Hans C. Hasselbalch, Johnny T. Ottesen

Summary: This study describes a novel index for assessing hematological and molecular responses in MPN patients during treatment with IFN or HU. The results demonstrate the superiority of IFN over HU in normalizing cell counts. Further validation and studies on the safety and efficacy of combination therapy are warranted.

CANCER MEDICINE (2023)

Article Cell & Tissue Engineering

HSC Niche Dynamics in Regeneration, Pre-malignancy, and Cancer: Insights From Mathematical Modeling

Rasmus Kristoffer Pedersen, Morten Andersen, Vibe Skov, Lasse Kjaer, Hans C. Hasselbalch, Johnny T. Ottesen, Thomas Stiehl

Summary: The hematopoietic stem cell niche plays a crucial role in regeneration and malignancy. A mathematical model is developed to investigate the interactions between the niche and hematopoietic and malignant stem cells, providing insights into clinically relevant scenarios and potential therapeutic interventions.

STEM CELLS (2023)

Article Biology

Analytical solution of phosphate kinetics for hemodialysis

M. Andersen, K. O. Bangsgaard, J. G. Heaf, J. T. Ottesen

Summary: Chronic kidney diseases require ongoing toxin removal, and hemodialysis is the preferred treatment. We have derived analytical expressions for phosphate clearance during dialysis, including a single pass (SP) model and a multi pass (MP) model. The models were calibrated using clinical data and showed consistent results, providing estimates for kinetic parameters. The formulas also explain the observed rebound effect after dialysis.

JOURNAL OF MATHEMATICAL BIOLOGY (2023)

Article Biology

Mechanistic-mathematical modeling of intracranial pressure (ICP) profiles over a single heart cycle. The fundament of the ICP curve form

Andrei A. Domogo, Peter Reinstrup, Johnny T. Ottesen

Summary: We developed a mathematical model based on the laws of physics to explain the morphology of the intracranial pressure curve. The model accurately predicted patient-specific intracranial pressure curves and identified pathological peak patterns associated with physiological parameters.

JOURNAL OF THEORETICAL BIOLOGY (2023)

Review Cell & Tissue Engineering

Understanding Hematopoietic Stem Cell Dynamics-Insights from Mathematical Modelling

Rasmus K. Pedersen, Morten Andersen, Thomas Stiehl, Johnny T. Ottesen

Summary: This review discusses the importance of mathematical modeling and computer simulations in studying the dynamics of hematopoietic stem cells (HSCs) and their impact on healthy blood cell formation. It highlights the significant contributions that mathematical modeling can make in understanding and treating hematologic malignancies.

CURRENT STEM CELL REPORTS (2023)

Article Oncology

Aging, Inflammation, and Comorbidity in Cancers-A General In Silico Study Exemplified by Myeloproliferative Malignancies

Johnny T. Ottesen, Morten Andersen

Summary: This study proposes a conceptual model to explain cancer escape and other clinical and epidemiological observations. The model suggests that insufficient immune response can lead to the development of cancer from a pre-cancerous state, and age and chronic inflammatory diseases increase the risk of cancer. The findings are general and provide insights into the understanding of cancer progression.

CANCERS (2023)

Article Multidisciplinary Sciences

Postural orthostatic tachycardia syndrome explained using a baroreflex response model

Justen R. Geddes, Johnny T. Ottesen, Jesper Mehlsen, Mette S. Olufsen

Summary: This study predicts the dynamics of blood pressure and heart rate in patients with POTS using a cardiovascular compartment model, demonstrating the possibility to simulate different types of POTS patients by modulating baroreflex sensitivity and control parameters.

JOURNAL OF THE ROYAL SOCIETY INTERFACE (2022)

Article Management

System dynamics of cancer in erythropoiesis with multiple EPO feedbacks

Zamra Sajid, Morten Andersen, Johnny T. Ottesen

Summary: Blood production is a tightly regulated process, and disturbances can pose a severe risk to human health. The PV model with competing healthy and malignant cells, including erythropoietin (EPO), analyzed the production of EPO and its influence on erythrocytes. Stem cell dynamics can be independently analyzed as a two-dimensional system, with numerical analysis showing agreement with the PV model.

SYSTEM DYNAMICS REVIEW (2020)

Article Biology

Integrated Inflammatory Stress (ITIS) Model

Elisabeth O. Bangsgaard, Poul G. Hjorth, Mette S. Olufsen, Jesper Mehlsen, Johnny T. Ottesen

BULLETIN OF MATHEMATICAL BIOLOGY (2017)

暂无数据