Relationship between CRP, Sialic Acid and Lipid Profile in Hospitalized Patients with Type 2 Diabetes

Authors

  • Mohammad Israr Bacha Khan Medical College / Mardan Medical Complex (MTI), Mardan, KP Pakistan
  • Aziz ur Rehman Northwest School of Medicine, Peshawar, KP Pakistan
  • Mujeeb Alam Khan Bacha Khan Medical College / Mardan Medical Complex (MTI), Mardan, Pakistan
  • Muhammad Idrees Bacha Khan Medical College / Mardan Medical Complex (MTI), Mardan, Pakistan
  • Sarwat Abbasi Ayub Medical College (MTI), Abbottabad, Pakistan
  • Mansoor Ahmad Bacha Khan Medical College / Mardan Medical Complex (MTI), Mardan, Pakistan
  • Muhammad Siyar Bacha Khan Medical College / Mardan Medical Complex (MTI), Mardan, Pakistan

DOI:

https://doi.org/10.52206/jsmc.2025.15.1.924

Keywords:

: sialic acid, crp, lipid profile, diabetic, age group, diabetes.

Abstract

Background: Experimental evidence suggests that several molecular pathways may be involved in the development of micro vascular and macro vascular issues in individuals with diabetes. Type 2 diabetes is predicted by elevated levels of acute-phase reactants such sialic acid and reactive protein (CRP).
Objective: This study aimed to explore the relationship between sialic acid, lipid profile, and CRP levels across different age groups and diabetes statuses.
Materials and Methods: A retrospective cohort study was conducted at Mardan Medical Complex, Khyber Pakhtunkhwa, Pakistan, from January 2023 to December 2023. Data were collected from patients based on demographic characteristics, including age (17–25, 25–35, and 35–50 years) and diabetes status (newly diagnosed vs. long-term). Biomarker levels of lipid profile, sialic acid, and C-reactive protein (CRP) were classified as high or normal. Statistical analysis was performed using SPSS version 26, with chi-square tests and logistic regression applied to examine associations between biomarker levels and demographic variables.
Result: Elevated CRP levels were prevalent across all age groups, with 65.6% of patients showing high levels (p < 0.05). Sialic acid levels varied significantly among age groups, with individuals aged 35–50 years showing higher normal levels (43.2%) compared to younger groups (p = 0.02). Dyslipidemia was more common in the 35–50 age group, with 58.7% exhibiting abnormal lipid profiles, compared to 27.1% in the 17–25 age group (p = 0.01). Newly diagnosed diabetics had significantly higher levels of both sialic acid and CRP (72.4%) compared to long-term diabetics (48.6%) (p = 0.03), indicating distinct inflammatory and metabolic profiles between these groups.
Conclusion: The findings underscore the importance of assessing cardiovascular risk factors with respect to age and diabetes status. Age-related differences in metabolic and inflammatory biomarkers, as well as distinctions between newly diagnosed and long-term diabetics, were evident. These insights can help guide targeted interventions and personalized management plans to improve outcomes for patients at risk of cardiovascular complications.
Keywords: Age Groups, C-Reactive Protein, Diabetes Mellitus, Lipid Profile, Sialic Acids, Type 2.

References

Esievo KAN, Num-Adom SM, Adamu S, Ogbuagu NE, Aluwong T, Umar IA. Elevated serum sialic acids, a potent biomarker of alloxan-induced type 1 diabetes in dogs by ethanolic extract of Anogeissus leiocarpus. J Diabetes Metab Disord 2021; 20:179-86. https://doi.org/10.1007/s40200-021-00726-1

Inim MD, Ibrahim MA, Isah MB, Onyike E. Variations in the mRNA expression level of UDP-GlcNAc epimerase/ManNAc kinase and neuraminidase I genes in organs of type 2 diabetic animals. Glycoconj J 2021;38:129–39. https://doi.org/10.1007/s10719–021-09979–7

Uprety T, Yu J, Nogales A, Naveed A, Yu H, Chen X, Liu Y, et al. Influenza D virus utilizes both 9-O-acetylated N-acetylneuraminic and 9-O-acetylated N-glycolylneuraminic acids as functional entry receptors. J Virol 2024 Mar 19;98(3). https://doi.org/10.1128/jvi.00042-24

Dhar C, Sasmal A, Diaz S, Verhagen A, Yu H, Li W, et al. Are sialic acids involved in COVID-19 pathogenesis?. Glycobiology 2021 Sep;31(9): 1068-71. https://doi.org/10.1093/glycob/cwab063

Ibrahim MA, Isah MB, Inim MD, Abdullahi AD, Adamu A. The connections of sialic acids and diabetes mellitus: therapeutic or diagnostic value?. Glycobiology 2024 Sep;34(9). https://doi.org/10.1093/glycob/cwae053

Kawanishi K, Coker JK, Grunddal KV, Dhar C, Hsiao J, Zengler K, et al. Dietary Neu5Ac intervention protects against atherosclerosis associated with human-like Neu5Gc loss—Brief report. Arterioscler Thromb Vasc Biol 2021 Nov;41(11):2730-9. https://doi.org/10.1161/ATVBAHA.120.315280

Okdahl T, Wegeberg AM, Pociot F, Brock B, Størling J, Brock C. Low-grade inflammation in type 2 diabetes: a cross-sectional study from a Danish diabetes outpatient clinic. BMJ Open 2022;12(12). https://doi.org/10.1136/bmjopen-2022-062188

Oikonomou EK, Antoniades C. The role of adipose tissue in cardiovascular health and disease. Nat Rev Cardiol 2019 Feb;16(2):83-99. https://doi.org/10.1038/s41569-018-0097-6

Li Y, Jin L, Chen T. The effects of secretory IgA in the mucosal immune system. Biomed Res Int 2020 Jan 3;2020:2032057. https://doi.org/10.1155/2020/2032057

Zamboni M, Nori N, Brunelli A, Zoico E. How does adipose tissue contribute to inflammageing?. Exp Gerontol 2021 Jan 1;143:111162. https://doi.org/10.1016/j.exger.2020.111162

Lwanga SK, Lemeshow S. Sample size determination in health studies: A practical manual. Geneva: World Health Organization; 1991. https://iris.who.int/handle/10665/40062

Palinkas LA, Horwitz SM, Green CA, Wisdom JP, Duan N, Hoagwood K. Purposeful sampling for qualitative data collection and analysis in mixed method implementation research. Adm Policy Ment Health 2015;42(5):533–44. https://doi.org/10.1007/s10488-013-0528-y

Pepys MB, Hirschfield GM. C-reactive protein: a critical update. J Clin Invest 2003;111(12):1805-12. https://doi.org/10.1172/JCI200318921

Glanz V, Malik M, Abdul R, Yousuf S, Raza Q. Elevated sialic acid levels and cardiovascular risk in diabetic patients. J Diabetes Complications 2020; 34(7):107-13.

Grundy SM, Stone NJ, Bailey AL, et al. 2018 AHA/ACC/AACVPR/AAPA/ABC/ACPM/ADA/AGS/ APhA/ASPC/NLA/PCNA guideline on the management of blood cholesterol. Circulation 2019; 139(25). https://doi.org/10.1161/CIR.0000000000000699

Ramdas Nayak VK, Satheesh P, Shenoy MT, Kalra S. Triglyceride glucose (TyG) index: A surrogate biomarker of insulin resistance. J Pak Med Assoc 2022;72(5):986–8. https://doi.org/10.47391/JPMA.22-63

Powers Carson J, Arora J. Glycated serum proteins and albumin but not glycated albumin show negative correlation with BMI in an overweight/obese, diabetic population from the United States. Clin Biochem 2023;120:110654. https://doi.org/10.1016/j.clinbiochem.2023.110654

Kawanishi K, Coker JK, Grunddal KV, Dhar C, Hsiao J, Zengler K, et al. Dietary Neu5Ac intervention protects against atherosclerosis associated with human-like Neu5Gc loss—Brief report. Arterioscler Thromb Vasc Biol 2021 Nov;41(11):2730-9. https://doi.org/10.1161/ATVBAHA.120.315280

Birukov A, Plavcsa B, Eichelmann F, Kuxhaus O, Hoshi RA, Rudman N, et al. Immunoglobulin G –glycosylation signatures in incident type 2 diabetes and cardiovascular disease. Diabetes Care 2022; 45:2729-36. https://doi.org/10.2337/dc22-0833

Glanz VY, Kashirskikh DA, Grechko AV, Yet SF, Sobenin IA, Orekhov AN. Sialidase activity in human blood serum has a distinct seasonal pattern: A pilot study. Biology 2020 Jul 22;9(8):184. https://doi.org/10.3390/biology9080184

Additional Files

Published

29-01-2025

How to Cite

1.
Israr M, ur Rehman A, Alam Khan M, Idrees M, Abbasi S, Ahmad M, Siyar M. Relationship between CRP, Sialic Acid and Lipid Profile in Hospitalized Patients with Type 2 Diabetes . J Saidu Med Coll [Internet]. 2025 Jan. 29 [cited 2025 May 13];15(1):66-70. Available from: http://jsmc.pk/index.php/jsmc/article/view/924