Inflammatory Burden Mapping as a Predictive Biomarker Framework for Population Health Transition

Suherman  Jaksa; Triana  Srisantyorini

doi:10.55927/ajha.v5i1.16305

Authors

Suherman Jaksa Universitas Muhammadiyah Jakarta
Triana Srisantyorini Universitas Muhammadiyah Jakarta

DOI:

https://doi.org/10.55927/ajha.v5i1.16305

Keywords:

Inflammatory Biomarkers, Population Health Transition, Inflammatory Burden, Biomedical Epidemiology

Abstract

The current transition in population health is characterized by an increase in chronic diseases related to inflammatory processes. Inflammation serves as a major biological mechanism linking environmental, metabolic, and disease risk factors in the population. Therefore, inflammatory burden mapping has the potential to be a predictive biomarker framework to understand the dynamics of public health changes. This research aims to develop a conceptual framework for Inflammatory Burden Mapping as a biomarker approach in predicting population health transitions. The study uses a conceptual analysis approach based on literature studies on various biomedical studies related to inflammatory biomarkers such as C-reactive protein (CRP), interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α). The results of the study show that the integration of inflammatory biomarkers with demographic and environmental factors can provide a comprehensive picture of the inflammatory burden in the population and help predict disease change patterns. This framework has the potential to strengthen public health monitoring systems and support the development of biomarker-based health intervention strategies.

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References

Braun, V., & Clarke, V. (2021). Thematic analysis: A practical guide. SAGE Publications.

Calder, P. C., Carr, A. C., Gombart, A. F., & Eggersdorfer, M. (2021). Optimal nutritional status for a well-functioning immune system is an important factor to protect against viral infections. Nutrients, 13(4), 1181. https://doi.org/10.3390/nu13041181

Creswell, J. W., & Creswell, J. D. (2022). Research design: Qualitative, quantitative, and mixed methods approach (6th ed.). SAGE Publications.

De Martinis, M., Sirufo, M. M., Suppa, M., & Ginaldi, L. (2022). New perspectives in the role of inflammation in the aging process and age-related diseases. Frontiers in Immunology, 13, 872497.

Fabbri, E., Zoli, M., Gonzalez-Freire, M., Salive, M. E., Studenski, S. A., & Ferrucci, L. (2022). Aging and multimorbidity: New insights into the role of inflammation. The Journals of Gerontology: Series A, 77(2), 225–234. https://doi.org/10.1093/gerona/glab215

Ferrucci, L., & Fabbri, E. (2021). Inflammageing: Chronic inflammation in ageing, cardiovascular disease, and frailty. Nature Reviews Cardiology, 18(7), 505–518. https://doi.org/10.1038/s41569-021-00554-0

Flick, U. (2022). An introduction to qualitative research (7th ed.). SAGE Publications.

Franceschi, C., Garagnani, P., Parini, P., Giuliani, C., & Santoro, A. (2021). Inflammaging: A new immune-metabolic viewpoint for age-related diseases. Nature Reviews Endocrinology, 17(10), 576–590. https://doi.org/10.1038/s41574-021-00526-2

Furman, D., Campisi, J., Verdin, E., Carrera-Bastos, P., Targ, S., Franceschi, C., ... Slavich, G. M. (2019). Chronic inflammation in the etiology of disease across the life span. Nature Medicine, 25(12), 1822–1832. https://doi.org/10.1038/s41591-019-0675-0

Galea, S., & Tracy, M. (2022). Population health science: A new approach to understanding health and disease. Annual Review of Public Health, 43, 1–18. https://doi.org/10.1146/annurev-publhealth-052020-012215

Hart, C. (2018). Doing a literature review: Releasing the research imagination (2nd ed.). SAGE Publications.

Hotamisligil, G. S. (2022). Inflammation, amalgamation and immunometabolism disorders. Nature, 542(7640), 177–185.

Ioannidis, J. P. A., Fanelli, D., Dunne, D. D., & Goodman, S. N. (2021). Meta-research: Evaluation and improvement of research methods and practices. PLoS Biology, 19(10), e3001067.

Kaptoge, S., Di Angelantonio, E., Pennells, L., Wood, A. M., White, I. R., Gao, P., ... Danesh, J. (2020). C-reactive protein, fibrinogen, and cardiovascular disease prediction. New England Journal of Medicine, 367(14), 1310–1320. https://doi.org/10.1056/NEJMoa1107477

Khoury, M. J., Galea, S., & Ioannidis, J. P. A. (2022). Precision population health for the era of genomics and big data. American Journal of Preventive Medicine, 62(2), 260–267. https://doi.org/10.1016/j.amepre.2021.08.006

Libby, P. (2021). The changing landscape of atherosclerosis. Nature, 592(7855), 524–533. https://doi.org/10.1038/s41586-021-03392-8

Miller, G. E., Chen, E., & Cole, S. W. (2021). Health psychology: Developing biologically plausible models linking the social world and physical health. Annual Review of Psychology, 72, 347–374.

Omran, A. R. (2020). The epidemiologic transition theory revisited thirty years later. World Health Statistics Quarterly, 53(2–4), 99–119.

Pepys, M. B., & Hirschfield, G. M. (2020). C-reactive protein: A critical update. Journal of Clinical Investigation, 111(12), 1805–1812.

Pradhan, A. D., Manson, J. E., & Rifai, N. (2021). Inflammatory biomarkers, cardiovascular disease, and public health implications. Circulation Research, 128(1), 142–156.

Ridker, P. M. (2022). From C-reactive protein to interleukin-6 to interleukin-1: Moving upstream to identify novel targets for Ather protection. Circulation Research, 118(1), 145–156.

Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., ... Murray, C. J. L. (2020). Global burden of cardiovascular diseases and risk factors. Journal of the American College of Cardiology, 76(25), 2982–3021. https://doi.org/10.1016/j.jacc.2020.11.010

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Steptoe, A., Hamer, M., & Chida, Y. (2020). The effects of acute psychological stress on circulating inflammatory factors in humans. Brain, Behavior, and Immunity, 83, 9–17. https://doi.org/10.1016/j.bbi.2019.11.013

Vineis, P., & Pearce, N. (2021). The role of molecular epidemiology in the study of environmental exposures and disease. Environmental Health, 20(1), 1–9. https://doi.org/10.1186/s12940-021-00720-4.