Literature DB >> 25691355

Modulation of red blood cell population dynamics is a fundamental homeostatic response to disease.

Harsh H Patel1, Hasmukh R Patel, John M Higgins.   

Abstract

Increased red blood cell (RBC) volume variation (RDW) has recently been shown to predict a wide range of mortality and morbidity: death due to cardiovascular disease, cancer, infection, renal disease, and more; complications in heart failure and coronary artery disease, advanced stage and worse prognosis in many cancers, poor outcomes in autoimmune disease, and many more. The mechanisms by which all of these diseases lead to increased RDW are unknown. Here we use a semi-mechanistic mathematical model of in vivo RBC population dynamics to dissect the factors controlling RDW and show that elevated RDW results largely from a slight reduction in the in vivo rate of RBC turnover. RBCs become smaller as they age, and a slight reduction in the rate of RBC turnover allows smaller cells to continue circulating, expanding the low-volume tail of the RBC population's volume distribution, and thereby increasing RDW. Our results show that mildly extended RBC lifespan is a previously unrecognized homeostatic adaptation common to a very wide range of pathologic states, likely compensating for subtle reductions in erythropoietic output. A mathematical model-based estimate of the clearance rate may provide a novel early-warning biomarker for a wide range of morbidity and mortality.
© 2015 Wiley Periodicals, Inc.

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Year:  2015        PMID: 25691355      PMCID: PMC4717489          DOI: 10.1002/ajh.23982

Source DB:  PubMed          Journal:  Am J Hematol        ISSN: 0361-8609            Impact factor:   10.047


  34 in total

1.  Hemoglobin loss from erythrocytes in vivo results from spleen-facilitated vesiculation.

Authors:  Frans L A Willekens; Bregt Roerdinkholder-Stoelwinder; Yvonne A M Groenen-Döpp; Harry J Bos; Giel J C G M Bosman; Annegeet G van den Bos; Arie J Verkleij; Jan M Werre
Journal:  Blood       Date:  2002-08-01       Impact factor: 22.113

2.  Glycosylated haemoglobin (HbA1c) as an index of the age of the erythrocyte population in non-diabetic patients.

Authors:  P Gram-Hansen; H T Mourits-Andersen; J E Eriksen; C Grevy; L L Olesen
Journal:  Eur J Haematol       Date:  1990-03       Impact factor: 2.997

Review 3.  The definition of anemia: what is the lower limit of normal of the blood hemoglobin concentration?

Authors:  Ernest Beutler; Jill Waalen
Journal:  Blood       Date:  2005-09-27       Impact factor: 22.113

4.  Evaluation of the gastrointestinal tract in patients with iron-deficiency anemia.

Authors:  D C Rockey; J P Cello
Journal:  N Engl J Med       Date:  1993-12-02       Impact factor: 91.245

5.  Red cell life span heterogeneity in hematologically normal people is sufficient to alter HbA1c.

Authors:  Robert M Cohen; Robert S Franco; Paramjit K Khera; Eric P Smith; Christopher J Lindsell; Peter J Ciraolo; Mary B Palascak; Clinton H Joiner
Journal:  Blood       Date:  2008-08-11       Impact factor: 22.113

6.  Rheologic properties of senescent erythrocytes: loss of surface area and volume with red blood cell age.

Authors:  R E Waugh; M Narla; C W Jackson; T J Mueller; T Suzuki; G L Dale
Journal:  Blood       Date:  1992-03-01       Impact factor: 22.113

7.  Long-term developmental outcome of infants with iron deficiency.

Authors:  B Lozoff; E Jimenez; A W Wolf
Journal:  N Engl J Med       Date:  1991-09-05       Impact factor: 91.245

8.  Simultaneous measurement of reticulocyte and red blood cell indices in healthy subjects and patients with microcytic and macrocytic anemia.

Authors:  G d'Onofrio; R Chirillo; G Zini; G Caenaro; M Tommasi; G Micciulli
Journal:  Blood       Date:  1995-02-01       Impact factor: 22.113

9.  The glycosylation of hemoglobin: relevance to diabetes mellitus.

Authors:  H F Bunn; K H Gabbay; P M Gallop
Journal:  Science       Date:  1978-04-07       Impact factor: 47.728

10.  The value of a complete blood count in predicting cancer of the colon.

Authors:  Derrick W Spell; Dennie V Jones; William F Harper; J David Bessman
Journal:  Cancer Detect Prev       Date:  2004
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  43 in total

1.  Red blood cell distribution width as a predictor of atrial fibrillation.

Authors:  Qingmiao Shao; Panagiotis Korantzopoulos; Konstantinos P Letsas; Gary Tse; Jiang Hong; Guangping Li; Tong Liu
Journal:  J Clin Lab Anal       Date:  2018-01-08       Impact factor: 2.352

Review 2.  Red cell distribution width and cancer.

Authors:  Martina Montagnana; Elisa Danese
Journal:  Ann Transl Med       Date:  2016-10

3.  Mechanistic modeling of hemoglobin glycation and red blood cell kinetics enables personalized diabetes monitoring.

Authors:  Roy Malka; David M Nathan; John M Higgins
Journal:  Sci Transl Med       Date:  2016-10-05       Impact factor: 17.956

4.  Extreme erythrocyte macrocytic and microcytic percentages are highly predictive of morbidity and mortality.

Authors:  Benjamin D Horne; Joseph B Muhlestein; Sterling T Bennett; Joseph Boone Muhlestein; Kurt R Jensen; Diane Marshall; Tami L Bair; Heidi T May; John F Carlquist; Matthew Hegewald; Stacey Knight; Viet T Le; T Jared Bunch; Donald L Lappé; Jeffrey L Anderson; Kirk U Knowlton
Journal:  JCI Insight       Date:  2018-07-26

5.  Non-Parametric Combined Reference Regions and Prediction of Clinical Risk.

Authors:  Roy Malka; Carlo Brugnara; Ron Cialic; John M Higgins
Journal:  Clin Chem       Date:  2020-02-01       Impact factor: 8.327

Review 6.  Red blood cell distribution width and cardiovascular diseases.

Authors:  Elisa Danese; Giuseppe Lippi; Martina Montagnana
Journal:  J Thorac Dis       Date:  2015-10       Impact factor: 2.895

7.  Red cell distribution width predicts mid-term prognosis in patients hospitalized with acute heart failure: the RDW in Acute Heart Failure (RE-AHF) study.

Authors:  Remo Melchio; Gianluca Rinaldi; Elisa Testa; Alessia Giraudo; Cristina Serraino; Christian Bracco; Laura Spadafora; Andrea Falcetta; Stefano Leccardi; Alberto Silvestri; Luigi Fenoglio
Journal:  Intern Emerg Med       Date:  2018-10-01       Impact factor: 3.397

8.  Do Red Blood Cell Indices Explain Racial Differences in the Relationship between Hemoglobin A1c and Blood Glucose?

Authors:  Robert M Cohen; Eric P Smith; Shahriar Arbabi; Charles T Quinn; Robert S Franco
Journal:  J Pediatr       Date:  2016-06-16       Impact factor: 4.406

9.  A retrospective cohort study on the association between elevated preoperative red cell distribution width and all-cause mortality after noncardiac surgery.

Authors:  Halldor B Olafsson; Gissur A Sigurdarson; Kenneth B Christopher; Sigurbergur Karason; Gisli H Sigurdsson; Martin I Sigurdsson
Journal:  Br J Anaesth       Date:  2020-03-23       Impact factor: 9.166

10.  Rationale and Design for a GRADE Substudy of Continuous Glucose Monitoring.

Authors:  Mary E Larkin; David M Nathan; Ionut Bebu; Heidi Krause-Steinrauf; William H Herman; John M Higgins; Margaret Tiktin; Robert M Cohen; Claire Lund; Richard M Bergenstal; Mary L Johnson; Valerie Arends
Journal:  Diabetes Technol Ther       Date:  2019-09-04       Impact factor: 6.118

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