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Erythrocyte Deformability

Erythrocytes, commonly known as red blood cells, are integral components of the blood, typically accounting for 40-50% of blood volume. [1] Their fundamental role is to transport oxygen from the lungs to the body's tissues and carry carbon dioxide back to the lungs for exhalation, a process critical for cellular respiration. [1] A key property that enables this vital function is erythrocyte deformability, which describes the red blood cell's remarkable capacity to reversibly change its shape. This flexibility allows erythrocytes, which are approximately 7-8 micrometers in diameter, to navigate through the body's extensive network of capillaries and microvessels, some of which are narrower than the cells themselves (e.g., 2-3 micrometers), without being damaged.

Biological Basis

The unique deformability of erythrocytes is primarily due to their biconcave disc shape, a high surface area-to-volume ratio, the fluid nature of their internal hemoglobin, and the distinct structural properties of their membrane and underlying cytoskeleton. The erythrocyte membrane, supported by a dynamic protein network including spectrin (SPTA1), protein 4.1R, glycophorin C, and protein p55 (MPP1), provides both strength and elasticity, allowing the cell to withstand significant mechanical stress and recover its original shape. [1] Genes such as EPB41L2 and those within the hemoglobin gene cluster (HBB, HBD, HBG1, HBG2, HBE1) are also recognized for their influence on erythrocyte characteristics, which can indirectly affect deformability. [2] This intricate molecular architecture ensures efficient blood flow and oxygen delivery throughout the microcirculation.

Clinical Relevance

Variations in erythrocyte characteristics, including their quantity, size, and composition, are routinely assessed in clinical settings to diagnose and monitor hematologic diseases and overall patient health. [1] Impaired erythrocyte deformability can lead to increased blood viscosity, reduced microcirculatory flow, and premature breakdown of red blood cells (hemolysis). [3] Such issues can contribute to a range of health problems, from specific hematologic conditions to broader systemic diseases. Research indicates that even subtle variations in erythrocyte measures, within otherwise normal ranges, are associated with an elevated risk of non-hematologic diseases and increased mortality. [1] For example, a weak but significant positive association has been found between hemolysis and coronary heart disease risk [3] and links between erythrocyte traits and blood pressure have also been identified. [1]

Social Importance

Maintaining optimal erythrocyte deformability is crucial for global health, as it directly impacts the efficiency of oxygen transport to all organs and tissues. Abnormalities in erythrocyte traits are influenced by a complex interplay of environmental factors, such as nutritional deficiencies (e.g., iron and vitamins), and genetic influences. [1] The heritability of erythrocyte traits is substantial, with estimates ranging from 40% to 90% [1] underscoring a strong genetic component. Common genetic conditions like hemoglobinopathies and other disorders affecting hemoglobin production are widespread globally and significantly impact erythrocyte function, including deformability. [1] Furthermore, numerous genetic variants, encompassing both common and rare Mendelian variants, contribute to the natural variability in erythrocyte traits observed across different individuals and populations. [1] A deeper understanding of these genetic and environmental determinants of erythrocyte deformability holds considerable social importance, as it can lead to advancements in diagnostic methods, the development of targeted therapies, and improved public health strategies worldwide.

Limitations in Cohort Diversity and Generalizability

Despite the demonstrated benefits of trans-ethnic meta-analyses in identifying and fine-mapping genetic loci, a significant limitation of current research on erythrocyte traits lies in the uneven representation of diverse ancestral populations. [4] Certain groups, such as Native Americans and Pacific Islanders, remain substantially underrepresented in genome-wide association studies (GWAS) of complex traits, including erythrocyte characteristics. [5] This lack of comprehensive diversity limits the generalizability of findings, as the genetic architecture, allelic effects, and linkage disequilibrium (LD) patterns can vary considerably across different ancestries. [4] Consequently, while some genetic loci may be shared, others are distinct, meaning that associations discovered predominantly in one population may not be directly transferable or fully capture the genetic influences in another. [6]

The observed differences in genetic architecture across populations, such as varying effect sizes of common variants between European and East Asian populations, highlight the challenges in fully elucidating the genetic landscape of erythrocyte traits. [6] Moreover, variations in LD structure between diverse populations, while potentially useful for fine-mapping, can also complicate the precise identification of causal variants if not carefully accounted for. [4] The inability to thoroughly evaluate structural variants, which are often difficult to impute and characterize, further contributes to these generalizability issues, as such variants may play ancestry-specific roles in influencing erythrocyte traits. [5]

Phenotypic Measurement and Data Quality Constraints

Research relying on electronic medical records (EMR) for phenotypic data, while powerful, faces inherent limitations in accurately capturing and defining erythrocyte traits. A primary challenge involves the comprehensive assessment of comorbidities and medications that can significantly affect trait values, despite the application of sophisticated algorithms to exclude compromised measurements. [7] The exclusion of extreme trait values, typically defined as those exceeding several standard deviations from the mean, is a common quality control practice that, while preventing artifacts, might also inadvertently remove data representing true biological extremes or rare genetic effects. [5]

Furthermore, the quality of genetic data itself can impose constraints; for example, variants with poor imputation quality or insufficient effective heterozygosity are routinely excluded from analyses, potentially obscuring their contributions to erythrocyte traits. [5] The availability of multiple measurements for a single trait within EMRs, although offering the potential for more precise trait estimation, presents a statistical challenge in how to best integrate these repeated measures into GWAS analyses. [7] This methodological uncertainty can impact statistical power and the reliability of identified associations, underscoring a need for standardized approaches to handling longitudinal phenotypic data.

Statistical Power and Replication Gaps

The statistical power of individual studies remains a critical limitation in fully unraveling the genetic underpinnings of erythrocyte traits. Smaller sample sizes within discovery cohorts can lead to an underpowered ability to detect genetic associations, especially for variants contributing modest effect sizes. [8] This limitation frequently manifests as replication gaps, where genetic loci identified in initial studies fail to reach genome-wide significance in subsequent replication cohorts. [8] Such inconsistencies can delay the confirmation of true genetic signals and may lead to an overestimation of effect sizes for variants initially reported with strong but unreplicated associations. [1]

Even in large meta-analyses, while systematic inflation of association statistics may be controlled, the power to replicate all identified loci can still be limited, suggesting that many associations might improve with further study. [1] The complex genetic architecture of erythrocyte traits, characterized by numerous loci each explaining a small fraction of variance, necessitates exceptionally large sample sizes to achieve adequate statistical power for comprehensive detection. This constant need for larger cohorts highlights the ongoing challenge in reliably identifying all genetic contributors and establishing robust associations across diverse populations.

Unraveling Causal Mechanisms and Remaining Knowledge Gaps

Despite significant advancements in identifying genetic loci associated with erythrocyte traits, a substantial portion of the heritability for these traits remains unexplained, indicating a significant knowledge gap in their complete genetic architecture. [7] The interpretation of identified associations is further complicated by the pervasive phenomenon of pleiotropy, where single genetic variants can influence multiple traits, making it difficult to definitively attribute causality or establish the independent effects of a given variant on a specific erythrocyte trait. [1] Moreover, limitations in publicly available eQTL data and other functional annotation resources hinder the comprehensive mechanistic interpretation of how genetic variants influence gene expression and downstream biological processes. [5]

Pinpointing the precise causal variants and genes within associated loci often requires extensive post-GWAS experimental validation, as statistical associations alone do not fully elucidate biological mechanisms. For example, even after fine-mapping, further evaluation is frequently needed to determine whether true causal variants overlap with identified structural variants or other complex genetic features. [5] Finally, the intricate interplay between genetic predispositions and environmental factors, including lifestyle, diet, and unmeasured comorbidities, represents a complex area where current genetic models may not fully account for these gene-environment confounders, leaving a gap in understanding the full etiology of erythrocyte trait variation. [7]

Variants

Genetic variants play a crucial role in determining the characteristics of red blood cells, including their size, hemoglobin content, and ability to deform, which is essential for their function in circulation. Genome-wide association studies (GWAS) have identified numerous genetic loci associated with erythrocyte traits, highlighting the complex genetic architecture underlying these phenotypes. [1] Among these, variants within genes like MIR99AHG and TMEM232 contribute to the broad spectrum of red blood cell variability observed in human populations. Research efforts, including large-scale meta-analyses, continue to uncover the specific genetic influences on these vital blood components. [4]

The variant rs1297329 is located within MIR99AHG (MIR99A Host Gene), a long non-coding RNA (lncRNA) that hosts several microRNAs, including miR-99a. LncRNAs and the microRNAs they host are critical regulators of gene expression, influencing processes such as cell proliferation, differentiation, and apoptosis, which are all relevant to hematopoiesis and red blood cell development. A genetic alteration like rs1297329 could impact the stability or processing of the MIR99AHG transcript, thereby altering the expression levels of the embedded microRNAs. Such changes in microRNA regulation can subtly modify the expression of genes involved in maintaining red blood cell membrane integrity and cytoskeletal structure, potentially affecting erythrocyte deformability. [9] These regulatory effects underscore the intricate pathways by which non-coding variants can influence complex traits affecting blood cell health.

Similarly, rs2900050 is associated with TMEM232, a gene encoding a transmembrane protein. Transmembrane proteins are integral components of cell membranes, performing diverse functions such as molecular transport, cell signaling, and maintaining structural integrity. In red blood cells, the precise function of TMEM232 is still being elucidated, but variants in transmembrane proteins can alter their structure or expression, leading to changes in cell membrane properties. For instance, subtle alterations in red blood cell membrane flexibility or stability, influenced by proteins like TMEM232, could affect how easily red blood cells navigate through narrow capillaries and thus impact overall erythrocyte deformability. [2] The influence of such variants on erythrocyte characteristics highlights their potential role in individual differences in blood health and susceptibility to related conditions.

Key Variants

RS ID Gene Related Traits
rs1297329 MIR99AHG erythrocyte deformability
hemorheological measurement
rs2900050 TMEM232 erythrocyte deformability

Defining Erythrocyte Morphology and Function

Erythrocytes are fundamental blood components, comprising approximately 40% to 50% of blood volume, and are primarily responsible for the crucial transport of oxygen and carbon dioxide throughout the body to support cellular respiration. [1] The physical characteristics of these cells, including their quantity, size, and composition, are routinely assessed in clinical practice to diagnose and monitor various hematologic conditions and overall patient health. [1] While the specific mechanical property of erythrocyte deformability is not explicitly detailed, research acknowledges the significance of erythrocyte characteristics such as size and shape, particularly noting that alterations in these aspects can influence physiological processes like erythrocyte sedimentation rate. [10]

Key Terminology for Red Blood Cell Phenotypes

Standardized terminology is utilized to describe a range of measurable erythrocyte traits, which serve as crucial indicators of red blood cell status and health. These include Hematocrit (HCT), defined as the percentage of blood volume occupied by red blood cells, and Hemoglobin (HGB), which measures the mass per volume of hemoglobin present in the blood. [9] Other essential terms encompass Mean Corpuscular Volume (MCV), representing the average volume of individual red blood cells; Mean Corpuscular Hemoglobin (MCH), which denotes the average mass of hemoglobin contained within a red blood cell; and Mean Corpuscular Hemoglobin Concentration (MCHC), indicating the average concentration of hemoglobin per red blood cell. [9] Furthermore, the Red Blood Cell (RBC) count quantifies the numerical concentration of red blood cells, while Red Cell Distribution Width (RDW) assesses the variability in red blood cell volume, offering insights into cell heterogeneity. [9]

Measurement and Clinical Evaluation of Erythrocyte Traits

Measurements of erythrocyte traits are typically performed using automated hematology analyzers on freshly collected whole blood samples, adhering to established clinical laboratory standards and manufacturer recommendations. [9] These diagnostic and measurement criteria are critical for assessing overall hematological health, as even subtle variations within normal ranges for erythrocyte measures have been linked to other non-hematologic diseases and increased mortality. [1] For instance, the erythrocyte sedimentation rate (ESR), a commonly utilized clinical test, is known to be influenced by alterations in the size, shape, and number of red blood cells, highlighting the clinical relevance of these morphological and quantitative parameters. [10] Rigorous quality control protocols are applied in research settings, often involving the exclusion of trait values potentially affected by comorbidities, medications, or blood loss to ensure data accuracy and reliability. [7]

Causes

Erythrocyte deformability, a crucial characteristic for red blood cells to navigate the microvasculature and perform oxygen transport, is influenced by a complex interplay of genetic, environmental, developmental, and acquired factors. Variations in erythrocyte traits, even within normal ranges, are linked to various non-hematologic diseases and mortality [1] highlighting the importance of understanding the causes of altered deformability.

Genetic Predisposition and Inherited Variation

Genetic factors play a substantial role in determining erythrocyte characteristics, with the heritability of erythrocyte traits ranging significantly from 40% to 90%. [11] Inherited variants, including both common and rare alleles, contribute to inter-individual variability in erythrocyte deformability and related measures. For instance, specific Mendelian variants are known to cause disorders of hemoglobin production and hemoglobinopathies, which are among the most common genetic diseases globally and profoundly impact red blood cell structure and function. [1] Genome-wide association studies have identified numerous loci associated with erythrocyte traits, suggesting a polygenic architecture where many genes contribute to the overall phenotype. [12]

Several genes directly or indirectly affecting erythrocyte membrane integrity, cytoskeleton, and metabolism are implicated in deformability. The SPTA1 gene, located on chromosome 1q23.1, is uniquely associated with mean corpuscular hemoglobin concentration (MCHC) and has rare mutations known to cause deformation of erythrocytes. [1] Similarly, MPP1 encodes protein p55, a critical scaffolding protein that anchors the actin cytoskeleton to the plasma membrane, and alterations in this protein can compromise membrane stability and deformability. [13] Other genes, such as EPB41L2, which is part of the erythrocyte membrane protein band 4.1 family, are also associated with hematological phenotypes, underscoring the genetic basis of red cell structure and function. [2] Beyond structural components, genes involved in erythropoiesis like HBS1L-MYB, globin synthesis like BCL11A, iron homeostasis such as HFE, TFR2, and TMPRSS6, and erythrocyte metabolism like TKTL1, all contribute to the overall quality and deformability of red blood cells. [1]

Environmental and Lifestyle Influences

Environmental factors and lifestyle choices significantly modulate erythrocyte deformability. Dietary intake of essential nutrients, particularly vitamins and iron, is crucial for proper erythrocyte production and quality. [1] Deficiencies or excesses in these nutrients can lead to abnormalities in red blood cell size, hemoglobin content, and ultimately, deformability. For example, alcohol consumption is known to impact mean corpuscular volume (MCV), a measure of red blood cell size, which in turn affects the cell's ability to deform. [14]

Exposure to various environmental toxins or pollutants can also impair erythrocyte function. Geographic influences, often reflecting differences in diet, lifestyle, and exposure profiles, are recognized in trans-ethnic and ancestry-specific studies of blood cell genetics. [6] These variations suggest that local environmental pressures can interact with genetic predispositions to shape erythrocyte traits and, consequently, their deformability.

Developmental, Epigenetic, and Gene-Environment Interactions

Erythrocyte deformability can be influenced by developmental factors, including early life experiences that may program long-term cellular characteristics. Epigenetic mechanisms, such as DNA methylation and histone modifications, play a role in regulating gene expression critical for erythropoiesis and red blood cell maturation. For instance, the upstream regulatory region of CD164, a gene influencing hematopoietic progenitors and maturing erythroid cells, contains specific clusters of histone modifications and transcription factor binding sites (like GATA-2 and c-Jun) in erythroleukemia cell lines. [13] Such epigenetic marks can determine how genes related to erythrocyte structure and function are expressed, thereby affecting deformability.

Furthermore, gene-environment interactions represent a crucial aspect of erythrocyte deformability. While genetic predispositions set a baseline, environmental triggers can modify their expression. The interplay between genetic variants affecting iron metabolism (e.g., in HFE gene) and dietary iron intake exemplifies how genetic susceptibility can interact with environmental factors to influence red cell health. [1] Studies on the CYP3A locus, showing signatures of positive selection due to environmental pressures, highlight how environmental medicine can shape genetic variation influencing cellular processes, a principle applicable to erythrocyte deformability. [15]

Acquired Conditions and Medical Interventions

A range of acquired medical conditions and therapeutic interventions can significantly impact erythrocyte deformability. Comorbidities such as the anemia of chronic disease are known to contribute substantially to abnormalities in erythrocyte measures. [1] Various hematologic and solid-organ malignancies, bone marrow and solid-organ transplantation, cirrhosis, and malabsorption disorders can also compromise erythrocyte quality and deformability. [7] These conditions often induce systemic inflammation, oxidative stress, or nutrient deficiencies that directly affect red blood cell structure and function.

Medication effects are another important contributing factor. Chemotherapeutic and immunosuppressive drugs, frequently used in treating severe illnesses, are known to affect erythrocyte traits. [7] These medications can interfere with erythropoiesis, alter membrane components, or induce oxidative damage, thereby reducing the cells' ability to deform. Additionally, age-related changes can influence erythrocyte deformability, with studies noting variability in hemoglobin concentration in older adults [16] indicating a potential decline in red blood cell quality with aging. Conditions leading to increased hemolysis, where red blood cells are prematurely destroyed, also indicate compromised deformability and are associated with increased cardiovascular risk. [3]

Prognostic and Predictive Markers in Systemic Diseases

Erythrocyte characteristics, which are intrinsically linked to their deformability, serve as valuable prognostic and predictive indicators across various systemic conditions. For instance, the Red Cell Distribution Width (RDW), a measure reflecting variability in erythrocyte size and, indirectly, their mechanical properties, effectively predicts both short- and long-term outcomes in patients with acute congestive heart failure. [17] Similarly, declining hemoglobin and hematocrit levels following an ischemic stroke are strong predictors of unfavorable patient outcomes and increased mortality. [18] Furthermore, evidence suggests that increased hemolysis, which indicates compromised erythrocyte integrity and reduced deformability, is weakly but significantly associated with a higher risk of coronary heart disease. [19] These associations highlight how changes in erythrocyte properties, including their capacity for deformation, provide critical insights into disease progression and patient prognosis.

Diagnostic and Monitoring Applications

Measures of erythrocyte quantity, size, and composition are routinely assessed in clinical practice to diagnose and monitor various hematologic and systemic diseases. [1] While not direct measurements of deformability, these parameters (such as mean corpuscular volume, hemoglobin concentration, and hematocrit) offer indirect insights into the structural and functional health of red blood cells, which directly impacts their deformability. Alterations in these traits can indicate underlying conditions that affect erythrocyte integrity and flexibility, playing a role in the pathophysiology of conditions like anemia, erythrocytosis, and associated cardiovascular diseases. [1] The accessibility and routine nature of these erythrocyte trait assessments make them valuable tools for initial risk assessment and for monitoring treatment efficacy and disease course in patient care.

Comorbidities and Microcirculatory Implications

Impaired erythrocyte deformability contributes to the pathogenesis and complications of numerous comorbidities by affecting microcirculatory flow and oxygen delivery. Conditions such as anemia and erythrocytosis, characterized by altered erythrocyte parameters, are broadly associated with cardiovascular diseases, including hypertension. [1] The observation of a positive association between hemolysis—a process where red blood cells are prematurely destroyed due to compromised integrity and often reduced deformability—and coronary heart disease risk underscores how such erythrocyte dysfunction can contribute to arterial thrombosis and systemic inflammation. [19] Moreover, changes in red cell properties can lead to increased red cell adhesion to vessel walls, a factor implicated in various human diseases [20] further hindering efficient oxygen transport and potentially exacerbating tissue hypoxia.

Genetic Basis and Personalized Risk Stratification

The genetic architecture underlying erythrocyte traits, which influence their deformability and overall function, is highly complex and heritable, with estimates ranging from 40% to 90%. [1] Genome-wide association studies have identified numerous genetic loci influencing these traits across diverse populations. [5] Understanding these genetic determinants can facilitate the identification of individuals at higher risk for conditions linked to compromised red blood cell function, such as coronary heart disease associated with ongoing hemolysis. [19] This genetic insight holds potential for personalized medicine approaches, enabling improved risk stratification and the development of targeted prevention or treatment strategies for patients susceptible to complications arising from impaired erythrocyte deformability.

Frequently Asked Questions About Erythrocyte Deformability

These questions address the most important and specific aspects of erythrocyte deformability based on current genetic research.


1. Can what I eat make my red blood cells less flexible?

Yes, absolutely. Nutritional deficiencies, like not getting enough iron or certain vitamins, can directly impact the health and flexibility of your red blood cells. These cells need specific nutrients to maintain their structure and ability to change shape, which is crucial for efficient oxygen delivery throughout your body. Eating a balanced diet helps ensure your red blood cells stay strong and adaptable.

2. My family has 'thin blood'; will my kids have it too?

There's a strong chance, as red blood cell traits are highly heritable, meaning they often run in families. Estimates suggest that 40% to 90% of these traits are influenced by genetics. Conditions like hemoglobinopathies, which affect how your red blood cells function, are often inherited and can impact their flexibility and overall health in your children.

3. Does regular exercise help my blood deliver oxygen better?

Yes, maintaining optimal red blood cell function is crucial for efficient oxygen transport, which exercise heavily relies on. While the direct impact of exercise on red blood cell flexibility isn't detailed, a healthy lifestyle that includes regular physical activity supports overall cardiovascular health. This, in turn, helps your blood cells efficiently deliver oxygen to your muscles and tissues during activity and daily life.

4. Could my constant tiredness be from stiff red blood cells?

It's possible. If your red blood cells aren't flexible enough, they might struggle to deliver oxygen efficiently to your tissues and organs. This reduced oxygen flow can contribute to feelings of fatigue and low energy. Impaired red blood cell deformability can lead to issues like reduced microcirculatory flow, which affects your body's overall function.

Yes, there can be a connection. Research has identified links between various red blood cell traits and blood pressure. If your red blood cells have impaired deformability, they can increase blood viscosity and reduce microcirculatory flow, potentially impacting your cardiovascular system and contributing to conditions like high blood pressure.

6. Why do some people naturally have better blood flow than others?

A lot of that difference comes down to genetics. The heritability of red blood cell traits is quite high, ranging from 40% to 90%. This means that your genes play a significant role in determining the natural variability in how flexible and efficient your red blood cells are, influencing overall blood flow and oxygen delivery.

7. Does my family's background affect my red blood cell risks?

Yes, your ancestral background can influence your red blood cell risks. The genetic architecture and specific genetic variants that affect red blood cell traits can vary significantly across different populations. This means that certain risks or predispositions might be more common or expressed differently depending on your ethnicity.

8. What can a routine blood test tell me about my oxygen delivery?

A routine complete blood count (CBC) assesses various red blood cell characteristics like quantity, size, and composition. While it doesn't directly measure deformability, these routine assessments are crucial for diagnosing and monitoring hematologic diseases. Abnormalities can indicate issues with oxygen transport and overall red blood cell function, pointing to potential problems with delivery.

9. Can my red blood cells get damaged just by moving through my body?

While healthy red blood cells are incredibly resilient due to their flexible membrane and internal structure, impaired deformability can lead to premature breakdown, known as hemolysis. If your cells are not flexible enough, navigating the narrow capillaries can cause them damage, reducing their lifespan and efficiency in oxygen transport.

10. Does not eating enough iron make my red blood cells weaker?

Yes, absolutely. Iron is a critical nutrient for healthy red blood cell production and function. Nutritional deficiencies, especially iron deficiency, are a known environmental factor that can negatively impact red blood cell traits. This can make your red blood cells less efficient at carrying oxygen and potentially less resilient.


This FAQ was automatically generated based on current genetic research and may be updated as new information becomes available.

Disclaimer: This information is for educational purposes only and should not be used as a substitute for professional medical advice. Always consult with a healthcare provider for personalized medical guidance.

References

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[9] Hu, Y., et al. "Whole-genome sequencing association analysis of quantitative red blood cell phenotypes: The NHLBI TOPMed program." Am J Hum Genet, vol. 108, no. 5, 2021, pp. 836-851.

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[11] Evans, D. M., et al. "Genetic and Environmental Causes of Variation in Basal Levels of Blood Cells." Twin Research, vol. 2, no. 4, 1999, pp. 250-257.

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[13] Chen, Z., et al. "Genome-wide association analysis of red blood cell traits in African Americans: the COGENT Network." Human Molecular Genetics, vol. 22, no. 12, 2013, pp. 2510–2521.

[14] Thompson, A., et al. "Assessing the impact of alcohol consumption on the genetic contribution to mean corpuscular volume." Human Molecular Genetics, vol. 30, no. 17, 2021, pp. 1629–1638.

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[17] Dai, Yang, et al. "Red Cell Distribution Width Predicts Short- and Long-Term Outcomes of Acute Congestive Heart Failure More Effectively than Hemoglobin." Experimental and Therapeutic Medicine, vol. 8, no. 2, 2014, pp. 600–606.

[18] Kellert, L., et al. "Cerebral Oxygen Transport Failure?: Decreasing Hemoglobin and Hematocrit Levels after Ischemic Stroke Predict Poor Outcome and Mortality: STroke: RelevAnt Impact of HemoGlobin, Hematocrit and Transfusion (STRAIGHT)--an Observational Study." Stroke, vol. 42, no. 10, 2011, pp. 2832–2837.

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[20] Colin, Yann, et al. "Red Cell Adhesion in Human Diseases." Current Opinion in Hematology, vol. 21, no. 3, 2014, pp. 186-192.