2025, Number 1
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Rev Hematol Mex 2025; 26 (1)
Associations between hematological biomarkers and muscle health in women with sickle cell disease
Zambrano CJC, Martins RRAP, Lisboa L, Pimenta R, Tiraboschi R, de Bessa JJ
Language: English
References: 65
Page: 1-16
PDF size: 406.95 Kb.
ABSTRACT
OBJECTIVE: To investigate the association between hematological/metabolic biomarkers
and handgrip strength, appendicular muscle mass, and relative muscle power in
women with sickle cell disease.
MATERIALS AND METHODS: A cross-sectional study was conducted with women
with sickle cell disease from a reference center. Handgrip strength was assessed via
dynamometry, appendicular skeletal muscle mass by bioimpedance, and relative muscle
power via the 30-second chair stand test. Fasting blood samples measured C-reactive
protein, cystatin C, albumin, and rheumatoid factor.
RESULTS: There were included 46 women with a median age of 36 years. ROC curve
showed good discrimination for mean corpuscular volume (area under the curve
[AUC] 0.78) and mean corpuscular hemoglobin (AUC 0.79); C-reactive protein had
an AUC of 0.69. Mean corpuscular volume and mean corpuscular hemoglobin were
significantly associated with lower muscle mass after confounder adjustment. Age was
associated with reduced muscle power (OR 1.14-1.16; 95% CI: 1.02-1.37), but not
with C-reactive protein.
CONCLUSION: Mean corpuscular volume and mean corpuscular hemoglobin are
promising biomarkers for assessing muscle health in women with sickle cell disease.
These findings emphasize the critical need to integrate objective functional tests (grip
strength, muscle power assessments) into routine clinical practice for this population.
REFERENCES
Brasil, Saúde M da, Saúde S de A à, Hospitalar D de A.Doença falciforme: diretrizes básicas da linha de cuidado.Ministério da Saúde Brasília, DF; 2015.
Ministério da Saúde. Boletim Epidemiológico Saúde daPopulação Negra, Número Especial 2023. https://www.gov.br/saude/pt-br/centrais-de-conteudo/publicacoes/boletins/epidemiologicos/especiais/2023/boletim-epidemiologico-saude-da-populacao-negra-numero-especialvol-1-out.2023/view
Lera L, Angel B, Marquez C, et al. Besides sarcopenia,pre-sarcopenia also predicts all-cause mortality in olderChileans. Clin Interv Aging 2021; 16: 611-9. https://doi.org.10.2147/CIA.S289769
Prokopidis K, Triantafyllidis KK, Kechagias KS, et al. Aresarcopenia and its individual components linked to allcausemortality in heart failure? A systematic review andmeta-analysis. Clin Res Cardiol 2025; 114 (5): 532-540.https://doi.org.10.1007/s00392-023-02360-8
Veronese N, Demurtas J, Soysal P, et al. Sarcopenia andhealth-related outcomes: an umbrella review of observa tional studies. Eur Geriatr Med 2019; 10: 853-62. https://doi.org.10.1007/s41999-019-00233-w
Zhang X, Wang C, Dou Q, et al. Sarcopenia as a predictorof all-cause mortality among older nursing homeresidents: a systematic review and meta-analysis. BMJOpen 2018; 8 (11): e021252. https://doi.org.10.1136/bmjopen-2017-021252
Botelho EC. Avaliação da composição corporal e sua correlaçãocom a função pulmonar em adultos com anemia falciforme.Evaluation of body composition and its correlationwith pulmonary function in adults with sickle cell anemia.2019. https://www.bdtd.uerj.br:8443/handle/1/8665
Da Guarda, CC. Doença falciforme: biomarcadores laboratoriaise inflamatórios associados a manifestações clínicase uso da hidroxiuréia. 2019. https://repositorio.ufba.br/handle/ri/38600
Galvaõ F. Avaliação dos efeitos do treinamento muscularinspiratório em pacientes portadores de doençafalciforme. 2020. https://repositorio.unicamp.br/Busca/Download?codigoArquivo=456301
Zanoni CT. Ensaio clínico randomizado para avaliação doefeito de dois programas de fisioterapia nas disfunçõesmusculoesqueléticas de portadores de doença falciforme.Universidade Estadual de Campinas 2014https://repositorio.unicamp.br/Busca/Download?codigoArquivo=450170
Ogunsile FJ, Stewart K, Wang H, Lanzkron S. Modifiablecardiovascular risk factors in adults with sickle cell disease.Blood 2018; 132 (Supplement 1): 1088-1088. https://doi.org/10.1182/blood-2018-99-115595
Ohara DG, Ruas G, Walsh IAP, et al. Lung function and sixminutewalk test performance in individuals with sickle celldisease. Braz J Phys Ther 2014; 18 (1): 79-87. https://doi.org.10.1590/s1413-35552012005000139
Rock K, Ho S, Gray VL, et al. Muscle properties, gross motorperformance, and quality of life in children with sickle celldisease. Pediatr Phys Ther 2023; 35 (4): 450-6. https://doi.org.10.1097/PEP.0000000000001037
Silva LBPD, Mercês De Jesus G, Bessa Junior JD, et al. Exercisecapacity and biomarkers among children and adolescentswith sickle cell disease. Pediatr Exercise Sci 2023; 35(2): 84-91. https://doi.org.10.1123/pes.2021-0188
Zamora-Obando H, Godoy A, Amaral A, et al. Biomarcadoresmoleculares de doenças humanas: Conceitosfundamentais, modelos de estudo e aplicações clínicas.Quím Nova 2022. https://doi.org/10.21577/0100-4042.20170905
Petermann-Rocha F, Gray SR, Pell JP, et al. Biomarkers profileof people with sarcopenia: A cross-sectional analysisfrom UK Biobank. J Am Med Directors Association 2020;21 (12): 2017.e1-2017.e9. https://doi.org.10.1016/j.jamda.2020.05.005
Dey Sarkar P, Gupta GK. A pilot study indicating valuationof C‑reactive protein for disease outcome in sickle hemoglobinpatients of central India. J Drug Delivery Ther 2020;10 (2-s): 35-8.
Hlouedjè HW, Lokonon JE, Sènou M, et al. Some markersof inflammation in patients with sickle cell disease at Zou-Collines departmental hospital in Benin. Int J Res Med Sci2022; 10 (6): 1219. https://doi.org/10.18203/2320-6012.ijrms20221475
Okocha CE, Manafa PO, Ozomba JO, et al. C-reactive Proteinand disease outcome in Nigerian sickle cell disease patients.Ann Med Health Sci Res 2014; 4 (5): 701-5. https://doi.org.10.4103/2141-9248.141523
Nouraie M, Ashley-Koch AE, Garrett ME, et al. Serum albuminis independently associated with higher mortalityin adult sickle cell patients: Results of three independentcohorts. PLoS One 2020; 15 (8): e0237543. https://doi.org.10.1371/journal.pone.0237543
Collins Uchechukwu O, Okikioluwa Stephen A, DarlingtonNnamdi O, et al. Enzyme activities of liver function (biomakers)in sickle cell anaemic patients attending Sickle CellAnaemic Centre, Benin City, Edo State, Nigeria. Int J BloodRes Disord 2020; 7 (2). https://doi.org.10.23937/2469-5696/1410057
Forse RA, Shizgal HM. Serum albumin and nutritionalstatus. J Parenter Enteral Nutr 1980; 4 (5): 450-4. https://doi.org.10.1177/014860718000400503
Babatunde HE, Bello AO, Adeboye MAN, et al. CystatinC-derived estimated glomerular filtration rate in childrenwith sickle cell anaemia. BMC Nephrol 2023; 24 (1): 349.https://doi.org.10.1186/s12882-023-03393-x
Derebail VK, Zhou LY, Elsherif L, et al. Evaluating equationsfor estimated glomerular filtration rate (eGFR)in Patients with Sickle Cell Disease (SCD). Blood 2022;140 (Supplement 1): 2545-6. https://doi.org/10.1182/blood-2022-163314
Dodds RM, Syddall HE, Cooper R, et al. Grip strength acrossthe life course: Normative data from twelve British studies.PLoS One 2014; 9 (12): e113637. https://doi.org/10.1371/journal.pone.0113637
Mitsiopoulos N, Baumgartner RN, Heymsfield SB, et al.Cadaver validation of skeletal muscle measurement bymagnetic resonance imaging and computerized tomography.J Appl Physiol 1998; 85 (1): 115-22. https://doi.org/10.1152/jappl.1998.85.1.115
Alcazar J, Losa-Reyna J, Rodriguez-Lopez C, et al. The sit-tostandmuscle power test: An easy, inexpensive and portableprocedure to assess muscle power in older people. ExpGerontol 2018; 112: 38-43. https://doi.org.10.1016/j.exger.2018.08.006
Alcazar J, Kamper RS, Aagaard P, et al. Relation betweenleg extension power and 30-s sit-to-stand muscle powerin older adults: validation and translation to functionalperformance. Sci Rep 2020; 10 (1): 16337. https://doi.org.10.1038/s41598-020-73395-4
Xavier RM, Dora JM, Barros E. Laboratório na prática clínica:a consulta rápida. 3a ed. Porto Alegre: Artmed; 2016.
Da Cruz GF, Lunz TM, Rocha De Jesus T, et al. Low appendicularskeletal muscle mass index is associated with theanthropometric variables of post-menopausal women.BMC Geriatr 2022; 22 (1): 639. https://doi.org.10.1186/s12877-022-03313-y
Guirat Dhouib N, Khaled MB, Ouederni M, et al. Hypertransaminasemiarevealing a clinically silent musculardystrophy in a child with sickle cell disease. Ann Hematol 2018; 97 (11): 2261-2. https://doi.org/10.1007/s00277-018-3360-3
Tessier AJ, Wing SS, Rahme E, et al. Association of lowmuscle mass with cognitive function during a 3-yearfollow-up among adults aged 65 to 86 years in the CanadianLongitudinal Study on Aging. JAMA Netw Open 2022; 5(7): e2219926. https://doi.org.10.1001/jamanetworkopen.2022.19926
Hou Y, Xie Z, Zhao X, et al. Appendicular skeletal musclemass: A more sensitive biomarker of disease severitythan BMI in adults with mitochondrial diseases. PLoS One2019; 14 (7): e0219628. https://doi.org.10.1371/journal.pone.0219628
Liem RI, Nevin MA, Prestridge A, et al. Functional capacityin children and young adults with sickle cell diseaseundergoing evaluation for cardiopulmonary disease. AmJ Hematol 2009; 84 (10): 645-9. https://doi.org/10.1002/ajh.21507
Mostashari G, Quang T, Parker HE, et al. Exploring nearinfrared spectroscopy as a tool for monitoring tissue hemodynamicsfor patients with sickle cell disease. Blood 2023;142 (Supplement 1): 3862-3862. https://doi.org/10.1182/blood-2023-174241
Gazza C, Wernecke E, Hazenberg E, et al. Correlation betweendisease biomarkers and hemoglobin F levels in sicklecell patients. Blood 2023; 142 (Supplement 1): 5312-5312.https://doi.org/10.1182/blood-2023-190387
Gonçalves CEA, Silva PO, Soares MS, et al. Muscle dysfunctionis associated with poorer health-related qualityof life in adults with sickle cell anaemia. BMR 2019; 32(1): 43-53.
Alaka AA, Iyanda AA. Sickle cell disease complications andBMI percentiles of pediatric patients. AJMAH 2024; 22 (6):178-87. https://doi.org.10.9734/ajmah/2024/v22i61035
Jackson E, Karlson CW, Herring W, et al. Prevalence ofraised body mass index in paediatric sickle cell disease. JPaediatrics Child Health 2022; 58 (10): 1829-35. https://doi.org/10.1111/jpc.16118
Gupta GK, Sarkar PD, Manyal R, et al. Sickle cell disease:Assessment of hemostasis parameters in steady-statepatients at tertiary care hospital, Indore, India. BiomedBiotechnol Res J 2022; 6 (1): 81-5. https://doi.org.10.4103/bbrj.bbrj_162_21
Krishnan S, Setty Y, Betal SG, et al. Increased levels of theinflammatory biomarker C‐reactive protein at baselineare associated with childhood sickle cell vasocclusivecrises. Br J Haematol 2010; 148 (5): 797-804. https://doi.org/10.1111/j.1365-2141.2009.08013.x
Nnodim JK, Meludu SC, Dioka CE, et al. Evaluation of Creactiveprotein and fibrinogen among Sickle cell diseasepatients. Global J Sci Res 2013; 1 (2): 60-2.
Walowski CO, Braun W, Maisch MJ, et al. Reference Valuesfor skeletal muscle mass – current concepts and methodologicalconsiderations. Nutrients 2020; 12 (3): 755. https://doi.org.10.3390/nu12030755.
Otsuka R, Matsui Y, Tange C, et al. What is the best adjustmentof appendicular lean mass for predicting mortalityor disability among Japanese community dwellers? BMCGeriatr 2018; 18 (1):8. https://doi.org.10.1186/s12877-017-0699-6
Njoku F, Zhang X, Shah BN, et al. Biomarkers of clinicalseverity in treated and untreated sickle cell disease:a comparison by genotypes of a single center cohortand African Americans in the NHANES study. Br J Haematol2021; 194 (4): 767-78. https://doi.org.10.1111/bjh.17682
Yahouédéhou SCMA, Da Guarda CC, Figueiredo CVB, et al.Hydroxyurea alters hematological, biochemical and inflammatorybiomarkers in Brazilian children with SCA: Investigatingassociations with βS haplotype and α-thalassemia.PLoS One 2019; 14 (7): e0218040. https://doi.org/10.1371/journal.pone.0218040
Hyacinth HI, Adams RJ, Greenberg CS, et al. Effect of chronicblood transfusion on biomarkers of coagulation activationand thrombin generation in sickle cell patients at risk forstroke. PLoS One 2015; 10 (8): e0134193. https://doi.org/10.1371/journal.pone.0134193
Cordeiro-Santanach A, Morales F, Parquet MDC, et al.The effect of IL-1β inhibitor canakinumab (Ilaris®) onIL-6 production in human skeletal muscle cells. PLoS One2025; 20 (3): e0316110. https://doi.org/10.1371/journal.pone.0316110
Wang D, Townsend LK, DesOrmeaux GJ, et al. GDF15promotes weight loss by enhancing energy expenditurein muscle. Nature 2023; 619 (7968): 143-50. https://doi.org.10.1038/s41586-023-06249-4
De Paepe B. The cytokine growth differentiation factor-15and skeletal muscle health: Portrait of an emerging widelyapplicable disease biomarker. IJMS 2022; 23 (21): 13180.https://doi.org/10.3390/ijms232113180
Chiariello A, Conte G, Rossetti L, et al. Different roles ofcirculating and intramuscular GDF15 as markers of skeletalmuscle health. Front Endocrinol 2024; 15. https://doi.org.10.3389/fendo.2024.1404047
Irazoki A, Gordaliza-Alaguero I, Frank E, et al. Disruptionof mitochondrial dynamics triggers muscle inflammationthrough interorganellar contacts and mitochondrial DNAmislocation. Nat Commun 2023; 14 (1): 108. https://doi.org/10.1038/s41467-022-35732-1
Jeppesen TD. Aerobic exercise training in patients withmtDNA-related mitochondrial myopathy. Front Physiol2020; 11.
Núñez-Robainas A, Guitart M, López-Postigo A, et al.Myostatin/Smad2/Smad3 pathway define a differentialclinical phenotype in COPD-associated sarcopenia.ERJ Open Res 2025; 11 (2): 00772-2024. https://doi.org/10.1183/23120541.00772-2024
Grunow JJ, Reiher K, Carbon NM, et al. Muscular myostatingene expression and plasma concentrations are decreasedin critically ill patients. Critical Care 2022; 26 (1): 237.https://doi.org/10.1186/s13054-022-04101-1
Constantin-Teodosiu D, Constantin D. Molecular mechanismsof muscle fatigue. Int JMol Sci 2021; 22 (21): 11587.https://doi.org/10.3390/ijms222111587
Setayesh T, Chi M, Oestreicher Z, et al. A Novel mousemodel of hemoglobin-SC disease: Bridging the knowledge gap in sickle cell disease. Blood 2024; 144 (Supplement 1):620. https://doi.org/10.1182/blood-2024-206241
Sathi BK. Hemoglobin SC disease: Phenotypic variabilityand therapeutic options. AJBSR 2020; 7 (5): 441. https://doi.org.10.34297/AJBSR.2020.07.001194
Lonardo MS, Guida B, Cacciapuoti N, et al. Evidence thatskeletal muscles modulate HDL-cholesterol in metabolichealthy young adults. Nutrients 2024; 16 (8): 1110. https://doi.org/10.3390/nu16081110
Hao J QI, Zhuang Z Xuan, Hu S Yue, et al. The associationbetween non‑high‑density lipoprotein cholesterol tohigh‑density lipoprotein cholesterol ratio (NHHR) and lowmuscle mass in adults aged 20–59: a population-basedstudy in the United States. Lipids Health Dis 2024; 23 (1):274. https://doi.org/10.1186/s12944-024-02243-5
Wang Y, Hu J, Shen H, et al. Crosstalk between skeletalmuscle ratio and cholesterol metabolism disorders: a crosssectionstudy. BMC Endocrine Disorders 2024; 24 (1): 123.https://doi.org/10.1186/s12902-024-01660-y
Liu J, Wang S, Shen Y, et al. Lipid metabolites and sarcopenia-related traits: a Mendelian randomization study. DiabetMetab Syndr 2024; 16 (1): 231. https://doi.org/10.1186/s13098-024-01465-y
Sun L, Yu Y, Niu B, Wang D. Red blood cells as potential repositoriesof microRNAs in the circulatory system. Front Genet2020; 11. https://doi.org/10.3389/fgene.2020.00442
Han P, Yuan C, Chen X, et al. Metabolic signatures andpotential biomarkers of sarcopenia in suburb-dwellingolder Chinese: based on untargeted GC-MS and LC-MS.Skeletal Muscle 2024; 14 (1): 4. https://doi.org/10.1186/s13395-024-00337-3
NASM. The NASM Guide to Sarcopenia: An Evidence-BasedReview. 2024. https://www.nasm.org/docs/nasmlibraries/pdf/nasm_guide_to_sarcopenia_evidence-based_review.pdf?sfvrsn=3747810c_2&srsltid=AfmBOooCTWNmmPCg5WDPaTcVpS7-ah_mUjZ5kJZEgcLeVhIH2Pp8b_Qh