Though the diagnostic criteria of myeloid metaplasia with myelofibrosis (MMM) are now well established, the origin and pathophysiological mechanisms of this myeloproliferative disorder remain unclear. Concerning its pathophysiology, myeloproliferation and myelofibrosis are the intrinsic characteristics of the disease. Whereas the myeloproliferation was shown to result from a clonal amplification of primitive progenitor cells, fibroblast proliferation appeared to be polyclonal, thus suggesting that myelofibrosis was a reactive process. The myeloproliferation observed in MMM patients is characterized by an increased number of circulating CD34(+) hematopoietic progenitors. When cultured at high concentration without added exogenous growth factors, unpurified progenitors from MMM patients gave rise to spontaneous colonies of all myeloid lineages. Such an autonomous growth disappeared when purified CD34(+) progenitors were plated. These results suggested that growth factors are involved in the dysregulation of proliferation and/or differentiation of MMM hematopoietic progenitors. Cytokines such as PDGF, TGF-beta, and bFGF, produced mainly by megakaryocytes, have been proposed to be involved in the abnormal activation of fibroblasts, resulting in fibrosis. Recently the role of the fibrogenic cytokines, TGF-beta and bFGF, in the regulation of primitive hematopoiesis has been reported. The aim of this review is to address the question of the potential dual implication of TGF-beta and bFGF in the pathogenesis of both myelofibrosis and myeloproliferation in MMM patients.
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http://dx.doi.org/10.1007/s002770050595 | DOI Listing |
Nat Commun
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.
View Article and Find Full Text PDFJ Comput Graph Stat
October 2023
Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, MA.
Mixture Markov Model (MMM) is a widely used tool to cluster sequences of events coming from a finite state-space. However, the MMM likelihood being multi-modal, the challenge remains in its maximization. Although Expectation-Maximization (EM) algorithm remains one of the most popular ways to estimate the MMM parameters, however, convergence of EM algorithm is not always guaranteed.
View Article and Find Full Text PDFAJNR Am J Neuroradiol
January 2025
Ataxia Center, Cognitive Behavioral Neurology Unit, Laboratory for Neuroanatomy and Cerebellar Neurobiology, Department of Neurology (J.D.S., Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Background And Purpose: Symptoms indistinguishable from behavioral-variant frontotemporal dementia (bvFTD) can develop in patients with spontaneous intracranial hypotension associated with severe brain sagging. An underlying spinal CSF leak can be identified in only a minority of these patients and the success rate of nondirected treatments, such as epidural blood patching and dural reduction surgery, is low. The disability associated with bvFTD sagging brain syndrome is high and, because of the importance of the venous system in the pathophysiology of CSF leaks in general, we have investigated the systemic venous circulation in those patients with recalcitrant symptoms.
View Article and Find Full Text PDFClin Kidney J
January 2025
Nephrology and Dialysis Unit, Department of Advanced Medical and Surgical Sciences, University of Campania, Naples, Italy.
Background: Sodium-glucose co-transporter-2 inhibitors (SGLT2i) are recommended for reducing the renal and cardiovascular risk in patients with chronic kidney disease (CKD) based on the positive results reported by clinical trials. However, real-world data on the efficacy and the safety of these drugs in CKD population followed in nephrology setting are lacking.
Methods: We report the effects of dapagliflozin in CKD patients by using data collected during a learning program in which 105 nephrologists added dapagliflozin (10 mg/day) to consecutive patients referred to their renal clinics.
Circ Cardiovasc Qual Outcomes
January 2025
Department of Cardiothoracic Surgery, Erasmus University Medical Center, Rotterdam, The Netherlands. (X.W., M.L.N., K.M.V., P.G., J.R.G.E., A.J.J.C.B., J.J.M.T.).
Background: Observed patient survival after cardiothoracic interventions should ideally be placed in the context of matched-general-population survival. This study outlines several methodologies of matching general population mortality to the study sample, subsequently calculating cumulative matched-general-population survival, highlighting their respective advantages, disadvantages, and limitations.
Methods: A multicenter data set containing survival data after the Ross procedure was used for methodological illustration.
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