Understanding cyclical thrombocytopenia: A mathematical modeling approach

Apostu, Raluca; Mackey, Michael C.

doi:10.1016/j.jtbi.2007.11.029

Cited by 36 publications

(38 citation statements)

References 62 publications

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“…The synchrony of the peaks suggests that TPO may be driving the process. This is consistent with our observations of fluctuating TPO levels in this patient, as has been shown in other cases 10. TPO receptors appear on hematopoietic stem cells, which may explain how both platelets and neutrophils were affected.…”

Section: Discussionsupporting

confidence: 93%

“…A preliminary report13 of gene expression profile of two male patients with CT published in abstract form noted cyclic changes in interferon responsive genes as well as transcription factors controlling lineage differentiation. Cytokine oscillations have also been documented in periodic hematological diseases, including CT 10, 14, 15, 16…”

Section: Discussionmentioning

confidence: 99%

“…There have been two relatively extensive surveys of the literature on cyclical thrombocytopenia7, 10 that analyzed well‐documented cases of platelet fluctuations. In no case was there a report of fluctuations in the red or white blood cells.…”

Section: Discussionmentioning

confidence: 99%

“…Von Schulthess et al,23 noting the existence of oscillations in the platelet counts of normal humans, put forward a conceptually different model of thrombopoiesis, which was followed by Bélair and Mackey 24. Building on this work, Santillan et al20 refined the model attempting to understand cyclical thrombocytopenia, and this was subsequently modified by Apostu and Mackey10 and Langlois et al,25 again to understand the origins of cyclical thrombocytopenia. The latter modeling work has suggested that a defective TPO‐TPO receptor interaction may contribute to the pathogenesis.…”

Section: Discussionmentioning

confidence: 99%

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Cyclic thrombocytopenia with statistically significant neutrophil oscillations

Langlois

Arnold

Potts

et al. 2018

Clinical Case Reports

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Key Clinical MessageCyclic thrombocytopenia is often misdiagnosed as immune thrombocytopenia due to similar clinical features, a fact of significance because cyclic thrombocytopenia generally responds poorly to treatments used successfully in immune thrombocytopenia. A precise diagnosis must establish the statistical significance of periodicity of the platelet counts using statistical methods (eg, Lomb‐Scargle periodogram).

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Section: Discussionsupporting

confidence: 93%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Cyclic thrombocytopenia with statistically significant neutrophil oscillations

Langlois

Arnold

Potts

et al. 2018

Clinical Case Reports

Self Cite

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show abstract

“…These disorders are considered as major suspects in causing periodic hematological diseases, such as chronic myelogenous leukemia [9,27,42,43,76,77], cyclical neutropenia [28,51,54], periodic auto-immune hemolytic anemia [18,65,67,69], and cyclical thrombocytopenia [16,79]. In some of these diseases, oscillations occur in all mature blood cells with the same period; in others, the oscillations appear in only one or two cell types.…”

Section: Hematopoiesismentioning

confidence: 99%

Delay Differential Equations and Autonomous Oscillations in Hematopoietic Stem Cell Dynamics Modeling

Adimy

Crauste

2012

Math. Model. Nat. Phenom.

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Abstract. We illustrate the appearance of oscillating solutions in delay differential equations modeling hematopoietic stem cell dynamics. We focus on autonomous oscillations, arising as consequences of a destabilization of the system, for instance through a Hopf bifurcation. Models of hematopoietic stem cell dynamics are considered for their abilities to describe periodic hematological diseases, such as chronic myelogenous leukemia and cyclical neutropenia. After a review of delay models exhibiting oscillations, we focus on three examples, describing different delays: a discrete delay, a continuous distributed delay, and a state-dependent delay. In each case, we show how the system can have oscillating solutions, and we characterize these solutions in terms of periods and amplitudes.

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The root of many evils: indolent large granular lymphocyte leukaemia and associated disorders

Zhang

Shah

Loughran

2009

Hematological Oncology

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Large granular lymphocyte (LGL) leukemia can arise from either natural killer (NK) cells or cytotoxic T lymphocytes (CTL). The T-cell form of LGL leukemia has significant overlap with other hematological disorders and autoimmune diseases. Here we provide an overview of LGL biology. We also focus discussion on the indolent LGL leukemia related disorders and their causal relationships. We then discuss the potential relationships and distinctions between indolent LGL leukemia and non-malignant clonal lymphocyte expansion that occur in otherwise healthy individuals, especially elder people.

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Understanding cyclical thrombocytopenia: A mathematical modeling approach

Cited by 36 publications

References 62 publications

Cyclic thrombocytopenia with statistically significant neutrophil oscillations

Cyclic thrombocytopenia with statistically significant neutrophil oscillations

Delay Differential Equations and Autonomous Oscillations in Hematopoietic Stem Cell Dynamics Modeling

The root of many evils: indolent large granular lymphocyte leukaemia and associated disorders

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