Literature DB >> 16617202

Blood volume and haemoglobin oxygen content changes in human bone marrow during orthostatic stress.

Tiziano Binzoni1, Terence S Leung, Celine Courvoisier, Remo Giust, Gilbert Tribillon, Tijani Gharbi, David T Delpy.   

Abstract

The interest in, and the need for effective measures to be used in screening, diagnosis, and the follow-up of skeletal pathologies is growing markedly. This paper proposes a completely new and non-invasive technique allowing the study of the human tibia bone marrow (BM) haemodynamics with a time resolution of 1 s. The technique, based on near infrared spectroscopy, is sensitive enough to allow the detection of BM blood volume and/or oxygen saturation changes during orthostatic variations imposed by a tilt bed. An increase in the slope of the bed of 15 degrees is sufficient to detect this phenomenon. The ability to study the possible presence of a neural control of BM haemodynamics is also discussed. No other existing technique currently allows one to obtain the proposed results and this approach might open up a new field of study related to human BM physiology.

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Year:  2006        PMID: 16617202     DOI: 10.2114/jpa2.25.1

Source DB:  PubMed          Journal:  J Physiol Anthropol        ISSN: 1880-6791            Impact factor:   2.867


  3 in total

1.  Near infrared spectroscopy for measuring changes in bone hemoglobin content after exercise in individuals with spinal cord injury.

Authors:  Adina E Draghici; Diane Potart; Joseph L Hollmann; Vivian Pera; Qianqian Fang; Charles A DiMarzio; J Andrew Taylor; Mark J Niedre; Sandra J Shefelbine
Journal:  J Orthop Res       Date:  2017-06-28       Impact factor: 3.494

Review 2.  Near-infrared photons: a non-invasive probe for studying bone blood flow regulation in humans.

Authors:  Tiziano Binzoni; Lorenzo Spinelli
Journal:  J Physiol Anthropol       Date:  2015-07-25       Impact factor: 2.867

3.  A 3D Bioprinted Material That Recapitulates the Perivascular Bone Marrow Structure for Sustained Hematopoietic and Cancer Models.

Authors:  Caitlyn A Moore; Zain Siddiqui; Griffin J Carney; Yahaira Naaldijk; Khadidiatou Guiro; Alejandra I Ferrer; Lauren S Sherman; Murat Guvendiren; Vivek A Kumar; Pranela Rameshwar
Journal:  Polymers (Basel)       Date:  2021-02-03       Impact factor: 4.329

  3 in total

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