Psychoimmunoneuroendocrinology (PINE): an approach to understanding, prevention and treatment of cognitive impairment associated with obesity
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Keywords

psychoimmunoneuroendocrinology
cognitive impairment
obesity
neurodegeneration
dementia

How to Cite

Díaz, G. T. ., Campanella, C. ., Pigino, G., López, C. ., Priotto, S. ., & Repossi, G. . (2022). Psychoimmunoneuroendocrinology (PINE): an approach to understanding, prevention and treatment of cognitive impairment associated with obesity. Pinelatinoamericana, 2(3), 240-254. https://revistas.unc.edu.ar/index.php/pinelatam/article/view/38785

Abstract

Cognitive impairment conforms a syndrome that decreases functional independence affecting cognition, motor and emotional abilities.

Objective: To highlight the value of a comprehensive approach from psychoimmunoendocrinology (PINE/PNIE), for the understanding, prevention and management of cognitive impairment.

The loss of cognitive abilities has a slow and progressive neurodegenerative evolution, being its maximum expression, dementia. It is a health problem related to age and is associated with obesity as a risk factor. Therefore, it constitutes a growing global public health challenge, as population ages more and more and the global prevalence of obesity increase.

Conclusions: An approach from psychoimmunoendocrinology, which includes psychosocial, metabolic, endocrine aspects and maintenance of a healthy weight, could help to improve the quality of life of people by preventing the appearance of cognitive deterioration and  reducing the severity of the symptoms until very old ages.

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References

Aballay, L. R., Eynard, A. R., Díaz, M., Navarro, A., y Muñoz, S. E. (2013). Overweight and obesity: a review of their relationship to metabolic syndrome, cardiovascular disease, and cancer in South America. Nutrition reviews, 71(3), 168–179. https://doi.org/10.1111/j.1753-4887.2012.00533.x.

Aguirre, P. (2007). Ricos flacos y gordos pobres. La alimentación en crisis. Editorial Capital Intelectual. URL: https://sociologia1unpsjb.files.wordpress.com/2008/03/aguirre-ricos-flacos-y-gordos-pobres.pdf

Albanese, E., Launer, L. J., Egger, M., Prince, M. J., Giannakopoulos, P., Wolters, F. J., y Egan, K. (2017). Body mass index in midlife and dementia: Systematic review and meta-regression analysis of 589,649 men and women followed in longitudinal studies. Alzheimer's & dementia (Amsterdam, Netherlands), 8, 165–178. https://doi.org/10.1016/j.dadm.2017.05.007

Anstey, K. J., Cherbuin, N., Budge, M., y Young, J. (2011). Body mass index in midlife and late-life as a risk factor for dementia: a meta-analysis of prospective studies. Obesity reviews: an official journal of the International Association for the Study of Obesity, 12(5), e426–e437. https://doi.org/10.1111/j.1467-789X.2010.00825.x.

Balasubramanian, A. B., Kawas, C. H., Peltz, C. B., Brookmeyer, R., y Corrada, M. M. (2012). Alzheimer disease pathology and longitudinal cognitive performance in the oldest-old with no dementia. Neurology, 79(9), 915–921. https://doi.org/10.1212/WNL.0b013e318266fc77.

Becaria Coquet, J., Caballero, V. R., Camisasso, M. C., González, M. F., Niclis, C., Román, M. D., Muñoz, S. E., Leone, C. M., Procino, F., Osella, A. R., y Aballay, L. R. (2020). Diet Quality, Obesity and Breast Cancer Risk: An Epidemiologic Study in Córdoba, Argentina. Nutrition and cancer, 72(6), 1026–1035. https://doi.org/10.1080/01635581.2019.1664601

Beydoun, M. A., Beydoun, H. A., y Wang, Y. (2008). Obesity and central obesity as risk factors for incident dementia and its subtypes: a systematic review and meta-analysis. Obesity reviews: an official journal of the International Association for the Study of Obesity, 9(3), 204–218. https://doi.org/10.1111/j.1467-789X.2008.00473.x

Birsoy, K., Festuccia, W. T., y Laplante, M. (2013). A comparative perspective on lipid storage in animals. Journal of cell science, 126(Pt 7), 1541–1552. https://doi.org/10.1242/jcs.104992.

Cao, H., Gerhold, K., Mayers, J. R., Wiest, M. M., Watkins, S. M., y Hotamisligil, G. S. (2008). Identification of a lipokine, a lipid hormone linking adipose tissue to systemic metabolism. Cell, 134(6), 933–944. https://doi.org/10.1016/j.cell.2008.07.048.

Chawla, A., Nguyen, K. D., y Goh, Y. P. (2011). Macrophage-mediated inflammation in metabolic disease. Nature reviews. Immunology, 11(11), 738–749. https://doi.org/10.1038/nri3071 .

Choe, S. S., Huh, J. Y., Hwang, I. J., Kim, J. I., y Kim, J. B. (2016). Adipose Tissue Remodeling: Its Role in Energy Metabolism and Metabolic Disorders. Frontiers in endocrinology, 7, 30. https://doi.org/10.3389/fendo.2016.00030

Cobb, L. K., Appel, L. J., Franco, M., Jones-Smith, J. C., Nur, A., y Anderson, C. A. (2015). The relationship of the local food environment with obesity: A systematic review of methods, study quality, and results. Obesity (Silver Spring, Md.), 23(7), 1331–1344. https://doi.org/10.1002/oby.21118.

Corrada, M. M., Berlau, D. J., y Kawas, C. H. (2012). A population-based clinicopathological study in the oldest-old: the 90+ study. Current Alzheimer research, 9(6), 709–717. https://doi.org/10.2174/156720512801322537.

da Silva Rosa, S. C., Liu, M., y Sweeney, G. (2021). Adiponectin Synthesis, Secretion and Extravasation from Circulation to Interstitial Space. Physiology (Bethesda, Md.), 36(3), 134–149. https://doi.org/10.1152/physiol.00031.2020.

Dain, A., Repossi, G., Das, U. N., y Eynard, A. R. (2010). Role of PUFAs, the precursors of endocannabinoids, in human obesity and type 2 diabetes. Frontiers in bioscience (Elite edition), 2(4), 1432–1447. https://doi.org/10.2741/e203.

Dain, A., Repossi, G., Diaz-Gerevini, G. T., Vanamala, J., Das, U. N., y Eynard, A. R. (2016). Long chain polyunsaturated fatty acids (LCPUFAs) and nordihydroguaiaretic acid (NDGA) modulate metabolic and inflammatory markers in a spontaneous type 2 diabetes mellitus model (Stillman Salgado rats). Lipids in health and disease, 15(1), 205. https://doi.org/10.1186/s12944-016-0363-8.

Danat, I. M., Clifford, A., Partridge, M., Zhou, W., Bakre, A. T., Chen, A., McFeeters, D., Smith, T., Wan, Y., Copeland, J., Anstey, K. J., y Chen, R. (2019). Impacts of Overweight and Obesity in Older Age on the Risk of Dementia: A Systematic Literature Review and a Meta-Analysis. Journal of Alzheimer's disease: JAD, 70(s1), S87–S99. https://doi.org/10.3233/JAD-180763.

Díaz, G. T., Campanella, C., Reartes, G. A., López, C., Priotto, S., Wilson, V., Ávila, M.B., Fuente, G. y Repossi, G. (2021). Efectos beneficiosos del programa “Aprendiendo a vivir” sobre la salud psicoafectiva de adultos mayores diabéticos y no diabéticos de Carlos Paz, Córdoba, Argentina en tiempos de pandemia de Covid-19. Pinelatinoamericana, 1(1),26-35. Recuperado a partir de: https://revistas.unc.edu.ar/index.php/pinelatam/article/view/36135.

Fitzpatrick, A. L., Kuller, L. H., Lopez, O. L., Diehr, P., O'Meara, E. S., Longstreth, W. T., Jr, y Luchsinger, J. A. (2009). Midlife and late-life obesity and the risk of dementia: cardiovascular health study. Archives of neurology, 66(3), 336–342. https://doi.org/10.1001/archneurol.2008.582

Gorospe, E. C., y Dave, J. K. (2007). The risk of dementia with increased body mass index. Age and ageing, 36(1), 23–29. https://doi.org/10.1093/ageing/afl123.

Guo, Z., Jiang, H., Xu, X., Duan, W., y Mattson, M. P. (2008). Leptin-mediated cell survival signaling in hippocampal neurons mediated by JAK STAT3 and mitochondrial stabilization. The Journal of biological chemistry, 283(3), 1754–1763. https://doi.org/10.1074/jbc.M703753200.

Hughes, T. F., Borenstein, A. R., Schofield, E., Wu, Y., y Larson, E. B. (2009). Association between late-life body mass index and dementia: The Kame Project. Neurology, 72(20), 1741–1746. https://doi.org/10.1212/WNL.0b013e3181a60a58.

Jaacks, L. M., Vandevijvere, S., Pan, A., McGowan, C. J., Wallace, C., Imamura, F., Mozaffarian, D., Swinburn, B., y Ezzati, M. (2019). The obesity transition: stages of the global epidemic. The lancet. Diabetes & endocrinology, 7(3), 231–240. https://doi.org/10.1016/S2213-8587(19)30026-9.

Knopman, D. S., Edland, S. D., Cha, R. H., Petersen, R. C., y Rocca, W. A. (2007). Incident dementia in women is preceded by weight loss by at least a decade. Neurology, 69(8), 739–746. https://doi.org/10.1212/01.wnl.0000267661.65586.33.

Lara-Castro, C., Luo, N., Wallace, P., Klein, R. L., y Garvey, W. T. (2006). Adiponectin multimeric complexes and the metabolic syndrome trait cluster. Diabetes, 55(1), 249–259.

Larson, N. I., Story, M. T., y Nelson, M. C. (2009). Neighborhood environments: disparities in access to healthy foods in the U.S. American journal of preventive medicine, 36(1), 74–81. https://doi.org/10.1016/j.amepre.2008.09.025.

Lee, H. M., Kim, J. J., Kim, H. J., Shong, M., Ku, B. J., y Jo, E. K. (2013). Upregulated NLRP3 inflammasome activation in patients with type 2 diabetes. Diabetes, 62(1), 194–204. https://doi.org/10.2337/db12-0420.

Lee, T. H., y Yau, S. Y. (2020). From Obesity to Hippocampal Neurodegeneration: Pathogenesis and Non-Pharmacological Interventions. International journal of molecular sciences, 22(1), 201. https://doi.org/10.3390/ijms22010201.

Livingston, G., Huntley, J., Sommerlad, A., Ames, D., Ballard, C., Banerjee, S., Brayne, C., Burns, A., Cohen-Mansfield, J., Cooper, C., Costafreda, S. G., Dias, A., Fox, N., Gitlin, L. N., Howard, R., Kales, H. C., Kivimäki, M., Larson, E. B., Ogunniyi, A., Orgeta, V., … Mukadam, N. (2020). Dementia prevention, intervention, and care: 2020 report of the Lancet Commission. Lancet (London, England), 396(10248), 413–446. https://doi.org/10.1016/S0140-6736(20)30367-6.

Martyr, A., Nelis, S. M., Quinn, C., Rusted, J. M., Morris, R. G., Clare, L., y IDEAL programme team (2019). The relationship between perceived functional difficulties and the ability to live well with mild-to-moderate dementia: Findings from the IDEAL programme. International journal of geriatric psychiatry, 34(8), 1251–1261. https://doi.org/10.1002/gps.5128.

Mendenhall, E., Kohrt, B. A., Norris, S. A., Ndetei, D., y Prabhakaran, D. (2017). Non-communicable disease syndemics: poverty, depression, and diabetes among low-income populations. Lancet (London, England), 389(10072), 951–963. https://doi.org/10.1016/S0140-6736(17)30402-6.

Miller, A. A., y Spencer, S. J. (2014). Obesity and neuroinflammation: a pathway to cognitive impairment. Brain, behavior, and immunity, 42, 10–21. https://doi.org/10.1016/j.bbi.2014.04.001.

Minokoshi, Y., Kim, Y. B., Peroni, O. D., Fryer, L. G., Müller, C., Carling, D., y Kahn, B. B. (2002). Leptin stimulates fatty-acid oxidation by activating AMP-activated protein kinase. Nature, 415(6869), 339–343. https://doi.org/10.1038/415339a.

Myers, M. G., Jr, Leibel, R. L., Seeley, R. J., y Schwartz, M. W. (2010). Obesity and leptin resistance: distinguishing cause from effect. Trends in endocrinology and metabolism: TEM, 21(11), 643–651. https://doi.org/10.1016/j.tem.2010.08.002.

Navarro, A., Díaz, M. P., Muñoz, S. E., Lantieri, M. J., y Eynard, A. R. (2003). Characterization of meat consumption and risk of colorectal cancer in Cordoba, Argentina. Nutrition (Burbank, Los Angeles County, Calif.), 19(1), 7–10. https://doi.org/10.1016/s0899-9007(02)00832-8.

Navarro, A., Muñoz, S. E., Lantieri, M. J., del Pilar Diaz, M., Cristaldo, P. E., de Fabro, S. P., y Eynard, A. R. (2004). Meat cooking habits and risk of colorectal cancer in Córdoba, Argentina. Nutrition (Burbank, Los Angeles County, Calif.), 20(10), 873–877. https://doi.org/10.1016/j.nut.2004.06.008.

Organización Mundial de la Salud. (9 de junio de 2021). Obesidad y sobrepeso. OMS. Recuperado el día 24/06/2022 de: https://www.who.int/es/news-room/fact-sheets/detail/obesity-and-overweight

Park, S., Aintablian, A., Coupe, B., y Bouret, S. G. (2020). The endoplasmic reticulum stress-autophagy pathway controls hypothalamic development and energy balance regulation in leptin-deficient neonates. Nature communications, 11(1), 1914. https://doi.org/10.1038/s41467-020-15624-y.

Pedditzi, E., Peters, R., y Beckett, N. (2016). The risk of overweight/obesity in mid-life and late life for the development of dementia: a systematic review and meta-analysis of longitudinal studies. Age and ageing, 45(1), 14–21. https://doi.org/10.1093/ageing/afv151.

Pelleymounter, M. A., Cullen, M. J., Baker, M. B., Hecht, R., Winters, D., Boone, T., y Collins, F. (1995). Effects of the obese gene product on body weight regulation in ob/ob mice. Science (New York, N.Y.), 269(5223), 540–543. https://doi.org/10.1126/science.7624776.

Pou, S. A., Del Pilar Díaz, M., De La Quintana, A. G., Forte, C. A., y Aballay, L. R. (2016). Identification of dietary patterns in urban population of Argentina: study on diet-obesity relation in population-based prevalence study. Nutrition research and practice, 10(6), 616–622. https://doi.org/10.4162/nrp.2016.10.6.616

Pou, S.A., Tumas, N., y Aballay, L.R. (2020). Nutrition Transition and Obesity Trends in Argentina Within the Latin American Context. In: Faintuch, J., Faintuch, S. (eds) Obesity and Diabetes. Springer, Cham. https://doi.org/10.1007/978-3-030-53370-0_2.

Ramanjaneya, M., Chen, J., Brown, J. E., Tripathi, G., Hallschmid, M., Patel, S., Kern, W., Hillhouse, E. W., Lehnert, H., Tan, B. K., y Randeva, H. S. (2010). Identification of nesfatin-1 in human and murine adipose tissue: a novel depot-specific adipokine with increased levels in obesity. Endocrinology, 151(7), 3169–3180. https://doi.org/10.1210/en.2009-1358.

Rondinone, C. M. (2006). Adipocyte-derived hormones, cytokines, and mediators. Endocrine, 29(1), 81–90. https://doi.org/10.1385/endo:29:1:81.

Shafto, M. A., Henson, R. N., Matthews, F. E., Taylor, J. R., Emery, T., Erzinclioglu, S., Hanley, C., Rowe, J. B., Cusack, R., Calder, A. J., Marslen-Wilson, W. D., Duncan, J., Dalgleish, T., Brayne, C., Cam-Can, y Tyler, L. K. (2020). Cognitive Diversity in a Healthy Aging Cohort: Cross-Domain Cognition in the Cam-CAN Project. Journal of aging and health, 32(9), 1029–1041. https://doi.org/10.1177/0898264319878095.

Singh-Manoux, A., Dugravot, A., Shipley, M., Brunner, E. J., Elbaz, A., Sabia, S., y Kivimaki, M. (2018). Obesity trajectories and risk of dementia: 28 years of follow-up in the Whitehall II Study. Alzheimer's & dementia: the journal of the Alzheimer's Association, 14(2), 178–186. https://doi.org/10.1016/j.jalz.2017.06.2637.

Snodgrass, R. G., Huang, S., Choi, I. W., Rutledge, J. C., y Hwang, D. H. (2013). Inflammasome-mediated secretion of IL-1β in human monocytes through TLR2 activation; modulation by dietary fatty acids. Journal of immunology (Baltimore, Md.: 1950), 191(8), 4337–4347. https://doi.org/10.4049/jimmunol.1300298.

Sobal, J., y Stunkard, A. J. (1989). Socioeconomic status and obesity: a review of the literature. Psychological bulletin, 105(2), 260–275. https://doi.org/10.1037/0033-2909.105.2.260.

Spinosa, J., Christiansen, P., Dickson, J. M., Lorenzetti, V., y Hardman, C. A. (2019). From Socioeconomic Disadvantage to Obesity: The Mediating Role of Psychological Distress and Emotional Eating. Obesity (Silver Spring, Md.), 27(4), 559–564. https://doi.org/10.1002/oby.22402.

Steppan, C. M., Bailey, S. T., Bhat, S., Brown, E. J., Banerjee, R. R., Wright, C. M., Patel, H. R., Ahima, R. S., y Lazar, M. A. (2001). The hormone resistin links obesity to diabetes. Nature, 409(6818), 307–312. https://doi.org/10.1038/35053000.

Stewart, R., Masaki, K., Xue, Q. L., Peila, R., Petrovitch, H., White, L. R., y Launer, L. J. (2005). A 32-year prospective study of change in body weight and incident dementia: the Honolulu-Asia Aging Study. Archives of neurology, 62(1), 55–60. https://doi.org/10.1001/archneur.62.1.55.

Su, L. J., Zhang, J. H., Gomez, H., Murugan, R., Hong, X., Xu, D., Jiang, F., y Peng, Z. Y. (2019). Reactive Oxygen Species-Induced Lipid Peroxidation in Apoptosis, Autophagy, and Ferroptosis. Oxidative medicine and cellular longevity, 2019, 5080843. https://doi.org/10.1155/2019/5080843.

Tang, X., Zhao, W., Lu, M., Zhang, X., Zhang, P., Xin, Z., Sun, R., Tian, W., Cardoso, M. A., Yang, J., Simó, R., Zhou, J. B., y Stehouwer, C. (2021). Relationship between Central Obesity and the incidence of Cognitive Impairment and Dementia from Cohort Studies Involving 5,060,687 Participants. Neuroscience and biobehavioral reviews, 130, 301–313. https://doi.org/10.1016/j.neubiorev.2021.08.028.

Tolppanen, A. M., Ngandu, T., Kåreholt, I., Laatikainen, T., Rusanen, M., Soininen, H., y Kivipelto, M. (2014). Midlife and late-life body mass index and late-life dementia: results from a prospective population-based cohort. Journal of Alzheimer's disease: JAD, 38(1), 201–209. https://doi.org/10.3233/JAD-130698.

Tumas, N., Rodríguez Junyent, C., Aballay, L. R., Scruzzi, G. F., y Pou, S. A. (2019). Nutrition transition profiles and obesity burden in Argentina. Public health nutrition, 22(12), 2237–2247. https://doi.org/10.1017/S1368980019000429.

Whitmer, R. A., Gunderson, E. P., Barrett-Connor, E., Quesenberry, C. P., Jr, y Yaffe, K. (2005). Obesity in middle age and future risk of dementia: a 27 year longitudinal population based study. BMJ (Clinical research ed.), 330(7504), 1360. https://doi.org/10.1136/bmj.38446.466238.E0.

Winblad, B., Amouyel, P., Andrieu, S., Ballard, C., Brayne, C., Brodaty, H., Cedazo-Minguez, A., Dubois, B., Edvardsson, D., Feldman, H., Fratiglioni, L., Frisoni, G. B., Gauthier, S., Georges, J., Graff, C., Iqbal, K., Jessen, F., Johansson, G., Jönsson, L., Kivipelto, M., … Zetterberg, H. (2016). Defeating Alzheimer's disease and other dementias: a priority for European science and society. The Lancet. Neurology, 15(5), 455–532. https://doi.org/10.1016/S1474-4422(16)00062-4.

Wotton, C. J., y Goldacre, M. J. (2014). Age at obesity and association with subsequent dementia: record linkage study. Postgraduate medical journal, 90(1068), 547–551. https://doi.org/10.1136/postgradmedj-2014-132571.

Xu, W. L., Atti, A. R., Gatz, M., Pedersen, N. L., Johansson, B., y Fratiglioni, L. (2011). Midlife overweight and obesity increase late-life dementia risk: a population-based twin study. Neurology, 76(18), 1568–1574. https://doi.org/10.1212/WNL.0b013e3182190d09.

Zhang, H., Liang, J. L., Wu, Q. Y., Li, J. X., Liu, Y., Wu, L. W., Huang, J. L., Wu, X. W., Wang, M. H., y Chen, N. (2022). Swimming Suppresses Cognitive Decline of HFD-Induced Obese Mice through Reversing Hippocampal Inflammation, Insulin Resistance, and BDNF Level. Nutrients, 14(12), 2432. https://doi.org/10.3390/nu14122432.

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