REVIEWS & OVERVIEWS

The Correlation between Psychosocial Factors and Metabolic Disturbances of Glucose, Lipid, Uric Acid and Intestinal Flora

  • GUAN Zhengyan ,
  • Amini Humayoun ,
  • CHEN Jing ,
  • XIA Ke
Expand
  • 1Department of Cardiology, Xiangya Hospital, Central South University, Changsha 410008, China;
    2Second Wards for Special Needs, General Hospital of Ningxia Medical University, Yinchuan 750004, China
* XIA Ke, doctorkexia@csu.edu.cn

Online published: 2024-10-18

Abstract

Psychosocial factors have been thought to be associated with abnormal metabolism of glucose, lipid, and uric acid, and to affect the normal intestinal flora as well. In addition, these factors play an important role in the etiology and development of cardiovascular diseases. Management of psychosocial stress factors will be helpful in preventing metabolic disorders and cardiovascular diseases. Currently, some progress have been made in quantifying the association between the psychosocial factors and metabolic disturbances of glucose, lipid, uric acid and intestinal flora. This review summarizes the relationship between psychosocial factors and abnormal metabolism of glucose, lipid, uric acid and intestinal flora, and their potential mechanism.

Cite this article

GUAN Zhengyan , Amini Humayoun , CHEN Jing , XIA Ke . The Correlation between Psychosocial Factors and Metabolic Disturbances of Glucose, Lipid, Uric Acid and Intestinal Flora[J]. Psychological Communications, 2020 , 3(2) : 115 -120 . DOI: 10.12100/j.issn.2096-5494.219018

References

[1] 方薇, 刘兴高, 金韬. (2019). 双相情感障碍患者血尿酸检测的临床价值探讨. 国际检验医学杂志, 40(07), 884-886+894.
[2] 马伊雯, 陈海冰.(2019).心理应激与高尿酸血症的相关性研究进展.中华风湿病学杂志,23(4), 280-283. doi:10.3760/cma.j.issn.1007-7480.2019.04.014
[3] 张喜梅, 范宏振, 石夏明, 李净, 张房坊, 王志仁, ..谭云龙. (2018). 双相情感障碍不同阶段血清尿酸水平分析. 中国神经精神疾病杂志, 44(01), 44-47.
[4] 赵琼琼, 沈延保, 李东方. (2018). 冠心病患者尿酸代谢与肠道菌群分布的关系. 中国病原生物学杂志,(5), 524-527. doi: 10.13350/j.cjpb.180516
[5] Adefurin A., Darghosian L., Okafor C., Kawai V., Li C., Shah A., .. Stein C. M. (2016). Alpha2A adrenergic receptor genetic variation contributes to hyperglycemia after myocardial infarction. Int J Cardiol, 215, 482-486. doi: 10.1016/j.ijcard.2016.04.079
[6] Aschbacher K., Kornfeld S., Picard M., Puterman E., Havel P. J., Stanhope K., .. Epel E. (2014). Chronic stress increases vulnerability to diet-related abdominal fat, oxidative stress, and metabolic risk. Psychoneuroendocrinology, 46, 14-22. doi: 10.1016/j.psyneuen.2014.04.003
[7] Asuzu C. C., Walker R. J., Williams J. S., & Egede L. E. (2017). Pathways for the relationship between diabetes distress, depression, fatalism and glycemic control in adults with type 2 diabetes. J Diabetes Complications, 31(1), 169-174. doi: 10.1016/j.jdiacomp.2016.09.013
[8] Balog M., Mlinarević D., V Š., Miljanović M., Blažeković R., Degmečić I. V., .. Heffer M. (2015). Plasma content of glucose, c-reactive protein, uric acid and cholesterol in male, female and ovariectomized rats upon acute and chronic stress--a path for development of cardiovascular diseases. Coll Antropol, 39(2), 385.
[9] Benjamin E. J., Virani S. S., Callaway C. W., Chamberlain A. M., Chang A. R., Cheng S., .. Stroke Statistics S. (2018). Heart disease and stroke statistics-2018 update: A report from the American heart association. Circulation, 137(12), e67-e492. doi: 10.1161/CIR.0000000000000558
[10] Bergmann N., Ballegaard S., Krogh J., Bech P., Hjalmarson A., Gyntelberg F., & Faber J. (2017). Chronic psychological stress seems associated with elements of the metabolic syndrome in patients with ischaemic heart disease. Scand J Clin Lab Invest, 77(7), 513-519. doi: 10.1080/00365513.2017.1354254
[11] Björntorp. P. (2001). Do stress reactions cause abdominal obesity and comorbidities?. Obesity Reviews, 2(2), 73-86. doi: 10.1046/j.1467-789x.2001.00027.x
[12] Boniecka I., Wilenska H., Jeznach-Steinhagen A., Czerwonogrodzka-Senczyna A., Sekula M., & Pasnik K. (2017). Stress as a factor contributing to obesity in patients qualified for bariatric surgery - studies in a selected group of patients (a pilot study). Wideochir Inne Tech Maloinwazyjne, 12(1), 60-67. doi: 10.5114/wiitm.2016.65078
[13] Cappuccio F. P., D'Elia L., Strazzullo P., & Miller M. A. (2010). Quantity and quality of sleep and incidence of type 2 diabetes: A systematic review and meta-analysis. Diabetes Care, 33(2), 414-420.
[14] Castaneda S. F., Buelna C., Giacinto R. E., Gallo L. C., Sotres-Alvarez D., Gonzalez P.,.. Talavera G. A. (2016). Cardiovascular disease risk factors and psychological distress among Hispanics/Latinos: The Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Prev Med, 87, 144-150. doi: 10.1016/j.ypmed.2016.02.032
[15] Catalina-Romero C., Calvo E., Sanchez-Chaparro M. A., Valdivielso P., Sainz J. C., Cabrera M., .. Group I. S. (2013). The relationship between job stress and dyslipidemia. Scand J Public Health, 41(2), 142-149. doi: 10.1177/1403494812470400
[16] Chen X., Leng L., Yu H., Yang X. L., Dong G. H., Yue S., . . Tang, N. J. (2015). Psychological distress and dyslipidemia in chinese police officers: A 4-year follow-up study in Tianjin, China. J Occup Environ Med, 57(4), 400-405. doi: 10.1097/JOM.0000000000000372
[17] Cheung K. K., Luk A. O., So W. Y., Ma R. C., Kong A. P., Chow F. C., & Chan J. C. (2015). Testosterone level in men with type 2 diabetes mellitus and related metabolic effects: A review of current evidence. J Diabetes Investig, 6(2), 112-123. doi: 10.1111/jdi.12288
[18] Devaki M., Nirupama R., & Yajurvedi H. N. (2013). Chronic stress-induced oxidative damage and hyperlipidemia are accompanied by atherosclerotic development in rats. Stress, 16(2), 233-243. doi: 10.3109/10253890.2012.719052
[19] Djindjic N., Jovanovic J., Djindjic B., Jovanovic M., Pesic M., & Jovanovic J. (2013). Work stress related lipid disorders and arterial hypertension in professional drivers: A cross-sectional study. Vojnosanitetski pregled, 70(6), 561-568. doi: 10.2298/vsp1306561d
[20] Entringer S., Buss C., Swanson J. M., Cooper D. M., Wing D. A., Waffarn F., & Wadhwa, P. D. (2012). Fetal programming of body composition, obesity, and metabolic function: The role of intrauterine stress and stress biology. J Nutr Metab, 2012, 632548. doi: 10.1155/2012/632548
[21] Fu J., Bonder M. J., Cenit M. C., Tigchelaar E. F., Maatman A., Dekens J. A. M., ..Weersma R. K. (2015). The gut microbiome contributes to a substantial proportion of the variation in blood lipids. Circ Res, 117(9), 817-824. doi: 10.1161/CIRCRESAHA.115.306807
[22] Gebreab S. Z., Vandeleur C. L., Rudaz D., Strippoli M. F., Gholam-Rezaee M., Castelao E., .. Preisig M. (2018). Psychosocial stress over the lifespan, psychological factors, and cardiometabolic risk in the community. Psychosom Med, 80(7), 628-639. doi: 10.1097/PSY.0000000000000621
[23] Guariguata L., Whiting D. R., Hambleton I., Beagley J., Linnenkamp U., & Shaw J. E. (2014). Global estimates of diabetes prevalence for 2013 and projections for 2035. Diabetes Res Clin Pract, 103(2), 137-149. doi: 10.1016/j.diabres.2013.11.002
[24] Hamer, M. (2012). Psychosocial stress and cardiovascular disease risk: The role of physical activity. Psychosom Med, 74(9), 896. doi: 10.1097/PSY.0b013e31827457f4
[25] Jones K. T., Shelton R. C., Wan J., & Li L. (2016). Impact of acute psychological stress on cardiovascular risk factors in face of insulin resistance. Stress, 19(6), 585-592. doi: 10.1080/10253890. 2016.1231804
[26] Kelly D. M., Akhtar S., Sellers D. J., Muraleedharan V., Channer K. S., & Jones T. H. (2016). Testosterone differentially regulates targets of lipid and glucose metabolism in liver, muscle and adipose tissues of the testicular feminised mouse. Endocrine, 54(2), 504-515. doi: 10.1007/s12020-016-1019-1
[27] Kang Duk-Hee., Chen Wei.(2011). Uric acid and chronic kidney disease: New understanding of an old problem. Semin Nephrol, 31(5), 447-52. doi:10.1016/j.semnephrol.2011.08.009
[28] Macfarlane D. P., Forbes S., & Walker B. R. (2008). Glucocorticoids and fatty acid metabolism in humans: Fuelling fat redistribution in the metabolic syndrome. J Endocrinol, 197(2), 189-204. doi: 10.1677/JOE-08-0054
[29] Mahar I., Bambico F. R., Mechawar N., & Nobrega J. N. (2014). Stress, serotonin, and hippocampal neurogenesis in relation to depression and antidepressant effects. Neurosci Biobehav Rev, 38, 173-192. doi:10.1016/j.neubiorev.2013.11.009
[30] Miller G. E., Chen E., & Parker K. J. (2011). Psychological stress in childhood and susceptibility to the chronic diseases of aging: Moving toward a model of behavioral and biological mechanisms. Psychol Bull, 137(6), 959-97. doi: 10.1037/a0024768
[31] Muratsubaki T., Hattori T., Li J., Fukudo S., & Munakata M. (2016). Relationship between job stress and hypo-high-density lipoproteinemia of Chinese workers in Shanghai: The Rosai Karoshi Study. Chin Med J (Engl), 129(20), 2409-2415. doi: 10.4103/0366-6999.191750
[32] Mutambudzi, M., & Javed, Z. (2016). Job strain as a risk factor for incident diabetes mellitus in middle and older age U.S. workers. J Gerontol B Psychol Sci Soc Sci, 71(6), 1089-1096. doi: 10.1093/geronb/gbw091
[33] O'Mahony S. M., Clarke G., ., Borre Y. E., Dinan T. G., & Cryan J. F. (2015). Serotonin, tryptophan metabolism and the brain-gut-microbiome axis. Behav Brain Res, 277, 32-48. doi: 10.1016/j.bbr. 2014.07.027
[34] Oishi K., Ohyama S., & Higo-Yamamoto S. (2018). Chronic sleep disorder induced by psychophysiological stress induces glucose intolerance without adipose inflammation in mice. Biochem Biophys Res Commun, 495(4), 2616-2621. doi: 10.1016/j.bbrc.20 17.12.158
[35] Olive L. S., Telford R. M., Byrne D. G., Abhayaratna W. P., & Telford R. D. (2017). Symptoms of stress and depression effect percentage of body fat and insulin resistance in healthy youth: LOOK longitudinal study. Health Psychol, 36(8), 749-759. doi: 10.1037/hea0000496
[36] Pan K. Y., Xu W., Mangialasche F., Fratiglioni L., & Wang H. X. (2017). Work-related psychosocial stress and the risk of type 2 diabetes in later life. J Intern Med, 281(6), 601-610. doi: 10.1111/joim.12615
[37] Petra A. I., Panagiotidou S., Hatziagelaki E., Stewart J. M., Conti P., & Theoharides T. C. (2015). Gut-microbiota-brain axis and its effect on neuropsychiatric disorders with suspected immune dysregulation. Clin Ther, 37(5), 984-995. doi: 10.1016/j.clinthera. 2015.04.002
[38] Qin J., Li Y., Cai Z., Li S., Zhu J., Zhang F., .. Jun Wang. (2012). A metagenome-wide association study of gut microbiota in type 2 diabetes. Nature, 490(7418), 55-60. doi: 10.1038/nature11450
[39] Salaroli L. B., Cattafesta M., Molina M. C., Zandonade E., & Bissoli N. S. (2017). Insulin resistance and associated factors: A cross-sectional study of bank employees. Clinics(Sao Paulo), 72(4), 224-230. doi:10.6061/clinics/2017(04)06.
[40] Tao, R., & Li, H. (2015). High serum uric acid level in adolescent de-pressive patients. J Affect Disord, 174, 464-466. doi: 10.1016/j.jad.2014.12.031
[41] Tirabassi G., Chelli F. M., Ciommi M., Lenzi A., & Balercia G. (2016). Influence of the hypothalamic-pituitary-adrenal axis dysregulation on the metabolic profile of patients affected by diabetes mellitus-associated late onset hypogonadism. Nutr Metab Cardiovasc Dis, 26(1), 53-59. doi: 10.1016/j.numecd.2015.10.006
[42] Valsamakis G., Papatheodorou D. C., Chalarakis N., Vrachnis N., Sidiropoulou E. J., Manolikaki M., .. Mastorakos G. (2017). In pregnancy increased maternal STAI trait stress score shows decreased insulin sensitivity and increased stress hormones. Psy-choneuroendocrinology, 84, 11-16. doi: 10.1016/j.psyneuen. 2017.06.008
[43] Vargas J., Junco M., Gomez C., & Lajud N. (2016). Early life stress increases metabolic risk, HPA axis reactivity, and depressive-like behavior when combined with postweaning social isolation in rats. PLoS One, 11(9), e0162665. doi: 10.1371/journal.pone.0162665
[44] Walls M. L., Sittner K. J., Aronson B. D., Forsberg A. K., Whitbeck L. B., & al'Absi M. (2017). Stress exposure and physical, mental, and behavioral health among American Indian adults with type 2 diabetes. Int J Environ Res Public Health, 14(9). doi: 10.3390/ijerph14091074
[45] Wang Y., Zhang J., Ma Y., Song X., Li S., Zhan X., & Wu L. (2018). Different lipid profiles, insulin sensitivity, and insulin resistance among Han, Uygur, and Kazak men with normal glucose tolerance in Xinjiang, China. Lipids Health Dis, 17(1), 209. doi: 10.1186/s12944-018-0863-9
[46] Ware, W. R. (2008). Psychological stress, insulin resistance, inflammation and the assessment of heart disease risk. Time for a paradigm shift? Medical Hypotheses, 71(1), 45-52. doi: 10.1016/j.mehy.20 08.02.008
[47] Wickrama K. A. S., Bae D., & O‘Neal C. W. (2017). Explaining the association between early adversity and young adults' diabetes outcomes: Physiological, psychological, and behavioral mechanisms. J Youth Adolesc, 46(12), 2407-2420. doi: 10.1007/s10964-017-0639-y
[48] Williams E. D., Magliano D. J., Tapp R. J., Oldenburg B. F., & Shaw J. E. (2013). Psychosocial stress predicts abnormal glucose metabolism: the Australian Diabetes, Obesity and Lifestyle (AusDiab) study. Ann Behav Med, 46(1), 62-72. doi: 10.1007/s12160-013-9473-y
[49] Winning A., Glymour M. M., McCormick M. C., Gilsanz P., & Kubzansky L. D. (2016). Childhood psychological distress as a mediator in the relationship between early-life social disadvantage and adult cardiometabolic risk: Evidence from the 1958 British Birth cohort. Psychosom Med, 78(9), 1019-1030. doi: 10.1097/PSY.0000000000000409
[50] Wu L., Lu Y., Jiao Y., Liu B., Li S., Li Y., .. Li X. (2016). Paternal psychological stress reprograms hepatic gluconeogenesis in offspring. Cell Metab, 23(4), 735-743. doi: 10.1016/j.cmet.201 6.01.014
[51] Zheng P., Zeng B., Zhou C., Liu M., Fang Z., Xu X., ..Du X. (2016). Gut microbiome remodeling induces depressive-like behaviors through a pathway mediated by the host's metabolism. Mol Psychiatry, 21(6), 786-796. doi: 10.1038/mp.2016.44
[52] Zhou X., Liu L., Lan X., Cohen D., Zhang Y., Ravindran A. V., .. Xie P. (2018). Polyunsaturated fatty acids metabolism, purine metabolism and inosine as potential independent diagnostic biomarkers for major depressive disorder in children and adolescents. Mol Psychiatry, 24(10), 1478-1488. doi: 10.1038/s41380-018-0047-z
Outlines

/

〈 〉