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Inflammation as a link between depression and metabolic syndrome

https://doi.org/10.31363/2313-7053-2024-1005

Abstract

Depression makes a major contribution to the overall global burden of disease, including the increased risk of a wide range of concomitant somatic pathology. А high percentage of mortality in psychiatric patients is attributed to physical diseases, mainly cardiovascular (CVD). Metabolic syndrome (MetS) is one of the risk factors for both the CVD and a frequent comorbid depression. The purpose of this review is to systematize data on the relationship between MetS and depression, in particular, on the shared pathogenetic mechanisms as systemic inflammation. The manuscript evaluates the issue of the use of hematological indices of systemic inflammation (HISIs) in the diagnosis of both MetS and affective pathology, and also provides data on new combined indicators, including the cellular link and lipidogram parameters. The latter include the ratios of lymphocytes and high-density lipoproteins (HDL) (Lymphocyte To High-Density Lipoprotein Ratio, LHR), neutrophils/HDL (Neutrophil To High-Density Lipoprotein Ratio, NHR), platelets/HDL (Platelet To High-Density Lipoprotein Ratio, PHR) and monocytes/HDL (Monocyte To High Density Lipoprotein Ratio, MHR). Understanding the relationship between hematological indices and metabolic syndrome in patients with depression can help identify individuals at high risk and identify timely preventive measures. Various clinical trials and studies indicate a link between hematological parameters and metabolic syndrome, but the question of choosing the most effective coefficients remains open. Further study of the problem can help identify potential risks of comorbid disorders and perform adequate preventive strategies.

About the Authors

A. P. Gorbunova
V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology
Russian Federation

Aleksandra P. Gorbunova

St. Petersburg



G. V. Rukavishnikov
V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology
Russian Federation

Grigory V. Rukavishnikov

St. Petersburg



G. E. Mazo
V.M. Bekhterev National Medical Research Center for Psychiatry and Neurology
Russian Federation

Galina E. Mazo

St. Petersburg



References

1. Alekseeva NS, Salmina-Khvostova OI. Affective disorders in patients with metabolic syndrome. Acta Biomedica Scientifica. 2014;(5):9-12. (In Russ.).

2. Gorbunova AP, Rukavishnikov GV, Kasyanov ED, Mazo GE. The role of cellular immunity and systemic inflammation indices in the pathogenetic mechanisms of mental disorders. Nevrologiya, neiropsikhiatriya, psikhosomatika. 2023;15(5):72-78. (In Russ.). https://doi.org/10.14412/2074-2711-2023-5-72-78

3. Gorbunova AP, Rukavishnikov GV, Kasyanov ED, Mazo GE. The role of hematological coefficients of systemic inflammation in the diagnosis and risk assessment of affective disorders. Obozrenie psihiatrii i medicinskoj psihologii imeni V.M. Bekhtereva. 2024;58(1):47-55. https://doi.org/10.31363/2313-7053-2024-794

4. Dubinina EE, Shchedrina LV, Mazo GE. The ba- sic biochemical aspects of the pathogenesis of de- pression. Part 1. Uspekhi fiziologicheskikh nauk. 2018;49(1):28-49.

5. Dubinina EE, Shchedrina LV, Mazo GE. The basic biochemical aspects of the pathogenesis of depression. Part 2. Uspekhi fiziologicheskikh nauk. 2021;52(1):31-48.

6. Mazo GE, Shmaneva TM. Risk factors for pharma- cogenomic weight gain in patients with depressive disorder. Obzory po klinich. farmakol. i lek. terapii. 2010;1:15-20. (In Russ.).

7. Neznanov N.G., Mazo G.E., Kibitov A.O., Rukavishnikov G.V. Depressiya i risk razvitiya somaticheskikh zabolevanii. Rukovodstvo dlya vrachei. Moskva: Spetsial’noe Izdatel’stvo Meditsinskikh Knig. 2018. (In Russ.).

8. Akboga MK, Canpolat U, Yuksel M, et al. Platelet to lymphocyte ratio as a novel indicator of inflammation is correlated with the severity of metabolic syndrome: A single center large-scale study. Platelets. 2016;27(2):178-183. https://doi.org/10.3109/09537104.2015.1064518

9. Alberti KG, Zimmet P, Shaw J; IDF Epidemiology Task Force Consensus Group. The metabolic syndrome-a new worldwide definition. Lancet. 2005;366(9491):1059-1062. https://doi.org/10.1016/S0140-6736(05)67402-8

10. Bahadır A, Baltacı D, Türker Y, et al. Is the neutrophil-to-lymphocyte ratio indicative of inflammatory state in patients with obesity and metabolic syndrome?. Anatol J Cardiol. 2015;15(10):816-822. https://doi.org/10.5152/akd.2014.5787

11. Battaglia S, Scialpi N, Berardi E, et al. Gender, BMI and fasting hyperglycaemia influence Monocyte to-HDL ratio (MHR) index in metabolic subjects. PLoS One. 2020;15(4):e0231927. https://doi.org/10.1371/journal.pone.0231927

12. Björntorp P. Do stress reactions cause abdominal obesity and comorbidities?. Obes Rev. 2001;2(2):73-86. https://doi.org/10.1046/j.1467-789x.2001.00027.x

13. Bukrinsky MI, Mukhamedova N, Sviridov D. Lipid rafts and pathogens: the art of deception and ex- ploitation. J Lipid Res. 2020;61(5):601-610. https://doi.org/10.1194/jlr.TR119000391

14. Chen H, Xiong C, Shao X, et al. Lymphocyte To High-Density Lipoprotein Ratio As A New Indi- cator Of Inflammation And Metabolic Syndrome. Diabetes Metab Syndr Obes. 2019;12:2117-2123. https://doi.org/10.2147/DMSO.S219363

15. Chen J, Huang Y, Li X. The association between lymphocyte to high-density lipoprotein ratio and depression: Data from NHANES 2015-2018. Brain Behav. 2024;14(3):e3467. https://doi.org/10.1002/brb3.3467

16. Chen T, Chen H, Xiao H, et al. Comparison of the Value of Neutrophil to High-Density Lipoprotein Cholesterol Ratio and Lymphocyte to High-Density Lipoprotein Cholesterol Ratio for Predicting Metabolic Syndrome Among a Population in the Southern Coast of China. Diabetes Metab Syndr Obes. 2020;13:597-605. https://doi.org/10.2147/DMSO.S238990

17. Cheng N, Ma H, Zhang K, Zhang C, Geng D. The Predictive Value of Monocyte/High-Density Lipoprotein Ratio (MHR) and Positive Symptom Scores for Aggression in Patients with Schizophrenia. Medicina (Kaunas). 2023;59(3):503. https://doi.org/10.3390/medicina59030503

18. Cogny A, Atger V, Paul JL, Soni T, Moatti N. High-density lipoprotein 3 physicochemical modifications induced by interaction with human polymorphonuclear leucocytes affect their ability to remove cholesterol from cells. Biochem J. 1996;314(Pt 1):285-292. https://doi.org/10.1042/bj3140285

19. Curcic S, Holzer M, Frei R, et al. Neutrophil effector responses are suppressed by secretory phospholipase A2 modified HDL. Biochim Biophys Acta. 2015;1851(2):184-193. https://doi.org/10.1016/j.bbalip.2014.11.010

20. Curcic S, Holzer M, Pasterk L, et al. Secretory phospholipase A2 modified HDL rapidly and potently suppresses platelet activation. Sci Rep. 2017;7(1):8030. https://doi.org/10.1038/s41598-017-08136-1

21. Davidson K, Jonas BS, Dixon KE, Markovitz JH. Do depression symptoms predict early hypertension incidence in young adults in the CARDIA study? Coronary Artery Risk Development in Young Adults. Arch Intern Med. 2000;160(10):1495-1500. https://doi.org/10.1001/archinte.160.10.1495

22. Del Bosque-Plata L, Amin M, Wu R, Postolache TT, Gragnoli C. Novel TCF7L2 familial linkage and association with Type 2 diabetes, depression, and their comorbidity. Eur Rev Med Pharmacol Sci. 2023;27(2):694-703. https://doi.org/10.26355/eurrev_202301_31072

23. DeLoach S, Keith SW, Gidding SS, Falkner B. Obesity associated inflammation in African American adolescents and adults. Am J Med Sci. 2014;347(5):357-363. https://doi.org/10.1097/MAJ.0b013e31829555f0

24. Després JP. Is visceral obesity the cause of the metabolic syndrome?. Ann Med. 2006;38(1):52-63. https://doi.org/10.1080/07853890500383895

25. Esmaili H, Bahreynian M, Qorbani M, et al. Prevalence of General and Abdominal Obesity in a Nationally Representative Sample of Iranian Children and Adolescents: The CASPIAN-IV Study. Iran J Pediatr. 2015;25(3):e401. https://doi.org/10.5812/ijp.25(3)2015.401

26. Fiske A, Wetherell JL, Gatz M. Depression in older adults. Annu Rev Clin Psychol. 2009;5:363-389. https://doi.org/10.1146/annurev.clinpsy.032408.153621

27. Fried SK, Bunkin DA, Greenberg AS. Omental and subcutaneous adipose tissues of obese subjects release interleukin-6: depot difference and regulation by glucocorticoid. J Clin Endocrinol Metab. 1998;83(3):847-850. https://doi.org/10.1210/jcem.83.3.4660

28. Greaves DR, Gordon S. The macrophage scaven- ger receptor at 30 years of age: current knowledge and future challenges. J Lipid Res. 2009;50(Sup- pl):282-286. https://doi.org/10.1194/jlr.R800066-JLR200

29. Grundy SM, Cleeman JI, Daniels SR, et al. Diagnosis and management of the metabolic syndrome: anAmerican Heart Association/National Heart, Lung, and Blood Institute Scientific Statement. Circulation. 2005;112(17):2735-2752. https://doi.org/10.1161/CIRCULA-TIONAHA.105.169404

30. Harsanyi S, Kupcova I, Danisovic L, Klein M. Selected Biomarkers of Depression: What Are the Effects of Cytokines and Inflammation?. Int J Mol Sci. 2022;24(1):578. https://doi.org/10.3390/ijms24010578

31. Heiskanen TH, Niskanen LK, Hintikka JJ, et al. Metabolic syndrome and depression: a cross-sectional analysis. J Clin Psychiatry. 2006;67(9):1422- 1427. https://doi.org/10.4088/jcp.v67n0913

32. Hu G, Qiao Q, Tuomilehto J, et al. Prevalence of the metabolic syndrome and its relation to allcause and cardiovascular mortality in nondiabetic European men and women. Arch Intern Med. 2004;164(10):1066-1076. https://doi.org/10.1001/archinte.164.10.1066

33. Huang JB, Chen YS, Ji HY, et al. Neutrophil to high-density lipoprotein ratio has a superior prognostic value in elderly patients with acute myocardial infarction: a comparison study. Lipids Health Dis. 2020;19(1):59. https://doi.org/10.1186/s12944-020-01238-2

34. Imhof BA, Aurrand-Lions M. Adhesion mechanisms regulating the migration of monocytes. Nat Rev Immunol. 2004;4(6):432-444. https://doi.org/10.1038/nri1375

35. Ji Y, Wang J, Chen H, Li J, Chen M. Association between hs-CRP and depressive symptoms: a cross-sec- tional study. Front Psychiatry. 2024;15:1339208. https://doi.org/10.3389/fpsyt.2024.1339208

36. Jialal I, Jialal G, Adams-Huet B. The platelet to high density lipoprotein -cholesterol ratio is a valid biomarker of nascent metabolic syndrome. Diabetes Metab Res Rev. 2021;37(6):e3403. https://doi.org/10.1002/dmrr.3403

37. Kanbay M, Solak Y, Unal HU, et al. Monocyte count/HDL cholesterol ratio and cardiovascular events in patients with chronic kidney disease. Int Urol Nephrol. 2014;46(8):1619-1625. https://doi.org/10.1007/s11255-014-0730-1

38. Khandare SA, Chittawar S, Nahar N, Dubey TN, Qureshi Z. Study of Neutrophil-lymphocyte Ra- tio as Novel Marker for Diabetic Nephropathy in Type 2 Diabetes. Indian J Endocrinol Metab. 2017;21(3):387-392. https://doi.org/10.4103/ijem.IJEM_476_16

39. Kim DJ, Noh JH, Lee BW, et al. The associations of total and differential white blood cell counts with obesity, hypertension, dyslipidemia and glucose intolerance in a Korean population. J Korean Med Sci. 2008;23(2):193-198. https://doi.org/10.3346/jkms.2008.23.2.193

40. Kolahi Ahari R, Akbari N, Babaeepoor N, et al. Association of Three Novel Inflammatory Mark- ers: Lymphocyte to HDL-C Ratio, High-Sensitivity C-Reactive Protein to HDL-C Ratio and High-Sensitivity C-Reactive Protein to Lymphocyte Ratio With Metabolic Syndrome. Endocrinol Diabetes Metab. 2024;7(3):e00479. https://doi.org/10.1002/edm2.479

41. Korkmaz ŞA, Kızgın S. Neutrophil/high-density lipoprotein cholesterol (HDL), monocyte/HDL and platelet/HDL ratios are increased in acute mania as markers of inflammation, even after controlling for confounding factors. Curr Med Res Opin. 2023;39(10):1383-1390. https://doi.org/10.1080/03007995.2023.2260302

42. Lago SG, Tomasik J, van Rees GF, et al. Exploring cellular markers of metabolic syndrome in peripheral blood mononuclear cells across the neuropsychiatric spectrum. Brain Behav Immun. 2021;91:673-682. https://doi.org/10.1016/j.bbi.2020.07.043

43. Lerer B, Macciardi F, Segman RH, et al. Variability of 5-HT2C receptor cys23ser polymorphism among European populations and vulnerability to affective disorder. Mol Psychiatry. 2001;6(5):579-585. https://doi.org/10.1038/sj.mp.4000883

44. Lin CC, Kardia SL, Li CI, et al. The relationship of high sensitivity C-reactive protein to percent body fat mass, body mass index, waist-to-hip ratio, and waist circumference in a Taiwanese population. BMC Public Health. 2010;10:579. https://doi.org/10.1186/1471-2458-10-579

45. Lin WY, Chen JD. The association between eosinophil count, serum lipids and metabolic syndrome in Taiwanese. Am J Med Sci. 2023;365(1):37-41. https://doi.org/10.1016/j.amjms.2022.07.015

46. Liu CC, Ko HJ, Liu WS, et al. Neutrophil-to-lympho- cyte ratio as a predictive marker of metabolic syn- drome. Medicine (Baltimore). 2019;98(43):e17537. https://doi.org/10.1097/MD.0000000000017537

47. Liu Z, Fan Q, Wu S, Wan Y, Lei Y. Compared with the monocyte to high-density lipoprotein ratio (MHR) and the neutrophil to lymphocyte ratio (NLR), the neutrophil to high-density lipoprotein ratio (NHR) is more valuable for assessing the inflammatory process in Parkinson’s disease. Lipids Health Dis. 2021;20(1):35 https://doi.org/10.1186/s12944-021-01462-4

48. Love-Gregory L, Sherva R, Sun L, et al. Variants in the CD36 gene associate with the metabolic syndrome and high-density lipoprotein cholesterol. Hum Mol Genet. 2008;17(11):1695-1704. https://doi.org/10.1093/hmg/ddn060

49. Luquet S, Lopez-Soriano J, Holst D, et al. Roles of peroxisome proliferator-activated receptor delta (PPARdelta) in the control of fatty acid catabolism. A new target for the treatment of metabolic syndrome. Biochimie. 2004;86(11):833-837. https://doi.org/10.1016/j.biochi.2004.09.024

50. Maes M, Smith R, Christophe A, et al. Lower se- rum high-density lipoprotein cholesterol (HDL-C) in major depression and in depressed men with serious suicidal attempts: relationship with im- mune-inflammatory markers. Acta Psychiatr Scand. 1997;95(3):212-221. https://doi.org/10.1111/j.1600-0447.1997.tb09622.x

51. Mahmood A, Haider H, Samad S, et al. Association of white blood cell parameters with metabolic syndrome: A systematic review and meta-analysis of 168,000 patients. Medicine (Baltimore). 2024;103(10):e37331. https://doi.org/10.1097/MD.0000000000037331

52. Marra A, Bondesan A, Caroli D, Sartorio A. Complete Blood Count (CBC)-Derived Inflammation Indexes Are Useful in Predicting Metabolic Syndrome in Adults with Severe Obesity. J Clin Med. 2024;13(5):1353. https://doi.org/10.3390/jcm13051353

53. Marra A, Bondesan A, Caroli D, Sartorio A. Complete Blood Count-Derived Inflammation Indexes Are Useful in Predicting Metabolic Syndrome in Children and Adolescents with Severe Obesity. J Clin Med. 2024;13(7):2120. https://doi.org/10.3390/jcm13072120

54. Milaneschi Y, Simmons WK, van Rossum EFC, Penninx BW. Depression and obesity: evidence of shared biological mechanisms. Mol Psychiatry. 2019;24(1):18-33. https://doi.org/10.1038/s41380-018-0017-5

55. Murphy AJ, Woollard KJ, Hoang A, et al. High-density lipoprotein reduces the human monocyte inflammatory response. Arterioscler Thromb Vasc Biol. 2008;28(11):2071-2077. https://doi.org/10.1161/ATVBAHA.108.168690

56. Nakamura H, Ito H, Egami Y, et al. Waist circumference is the main determinant of elevated C-re- active protein in metabolic syndrome. Diabetes Res Clin Pract. 2008;79(2):330-336. https://doi.org/10.1016/j.diabres.2007.09.004

57. Nicoară DM, Munteanu AI, Scutca AC, et al. Assessing the Relationship between Systemic Im- mune-Inflammation Index and Metabolic Syn- drome in Children with Obesity. Int J Mol Sci. 2023;24(9):8414. https://doi.org/10.3390/ijms24098414

58. Osimo EF, Baxter LJ, Lewis G, Jones PB, Khandaker GM. Prevalence of low-grade inflammation in depression: a systematic review and meta-analysis of CRP levels. Psychol Med. 2019;49(12):1958-1970. https://doi.org/10.1017/S0033291719001454

59. Pooley EC, Fairburn CG, Cooper Z, Sodhi MS, Cowen PJ, Harrison PJ. A 5-HT2C receptor promoter polymorphism (HTR2C—759C/T) is associated with obesity in women, and with resistance to weight loss in heterozygotes. Am J Med Genet B Neuropsychiatr Genet. 2004;126B(1):124-127. https://doi.org/10.1002/ajmg.b.20143

60. Prasanna Kumar KM. Metabolic syndrome. Int J Diabetes Dev Ctries. 2011; 31: 185–187. https://doi.org/10.1007/s13410-011-0056-9

61. Reaven GM. Banting lecture 1988. Role of in- sulin resistance in human disease. Diabetes. 1988;37(12):1595-1607. https://doi.org/10.2337/diab.37.12.1595

62. Ridker PM, Buring JE, Cook NR, Rifai N. C-reactive protein, the metabolic syndrome, and risk of incident cardiovascular events: an 8-year follow-up of 14 719 initially healthy American women. Circulation. 2003;107(3):391-397. https://doi.org/10.1161/01.cir.0000055014.62083.05

63. Ridker PM, Hennekens CH, Buring JE, Rifai N. C-reactive protein and other markers of inflammation in the prediction of cardiovascular disease in women. N Engl J Med. 2000;342(12):836-843. https://doi.org/10.1056/NEJM200003233421202

64. Rohatgi A. High-Density Lipoprotein Function Measurement in Human Studies: Focus on Cholesterol Efflux Capacity. Prog Cardiovasc Dis. 2015;58(1):32-40. https://doi.org/10.1016/j.pcad.2015.05.004

65. Rowan PJ, Haas D, Campbell JA, Maclean DR, Davidson KW. Depressive symptoms have an independent, gradient risk for coronary heart disease incidence in a random, population-based sample. Ann Epidemiol. 2005;15(4):316-320. https://doi.org/10.1016/j.annepidem.2004.08.006

66. Sanchez-Autet M, Arranz B, Sierra P, et al. Association between neutrophil-lymphocyte ratio, platelet-lymphocyte ratio, and C-reactive protein levels and metabolic status in patients with a bipolar disorder. World J Biol Psychiatry. 2022;23(6):464-474. https://doi.org/10.1080/15622975.2021.2013089

67. Scherrer JF, Xian H, Bucholz KK, et al. A twin study of depression symptoms, hypertension, and heart disease in middle-aged men. Psychosom Med. 2003;65(4):548-557. https://doi.org/10.1097/01.psy.0000077507.29863.cb

68. Scuteri A, Laurent S, Cucca F, et al. Metabolic syndrome across Europe: different clusters of risk factors. Eur J Prev Cardiol. 2015;22(4):486-491. https://doi.org/10.1177/2047487314525529

69. Skilton MR, Moulin P, Terra JL, Bonnet F. Associations between anxiety, depression, and the metabolic syndrome. Biol Psychiatry. 2007;62(11):1251-1257. https://doi.org/10.1016/j.biopsych.2007.01.012

70. Solmi M, Suresh Sharma M, Osimo EF, et al. Peripheral levels of C-reactive protein, tumor necrosis factor-α, interleukin-6, and interleukin-1β across the mood spectrum in bipolar disorder: A meta-analysis of mean differences and variability. Brain Behav Immun. 2021;97:193-203. https://doi.org/10.1016/j.bbi.2021.07.014

71. Song Q, Wang SS, Zafari AM. Genetics of the Metabolic Syndrome. Hosp. Physician. 2006;42:51-61

72. Stentz FB, Kitabchi AE. Transcriptome and pro- teome expressions involved in insulin resistance in muscle and activated T-lymphocytes of patients with type 2 diabetes. Genomics Proteomics Bioin- formatics. 2007;5(3-4):216-235. https://doi.org/10.1016/S1672-0229(08)60009-1

73. Sun M, Zhang L, Chen S, Liu X, Shao X, Zou H. Association of C-Reactive Protein and Metabolic Disorder in a Chinese Population. Int J Environ Res Public Health. 2015;12(7):8228-8242. https://doi.org/10.3390/ijerph120708228

74. Surendar J, Indulekha K, Mohan V, Pradeepa R. Association of neutrophil-lymphocyte ratio with metabolic syndrome and its components in Asian Indians (CURES-143). J Diabetes Complications. 2016;30(8):1525-1529. https://doi.org/10.1016/j.jdiacomp.2016.08.006

75. Syauqy A, Hsu CY, Rau HH, Chao JC. Association of dietary patterns, anthropometric measurements, and metabolic parameters with C-reactive protein and neutrophil-to-lymphocyte ratio in middle-aged and older adults with metabolic syndrome in Taiwan: a cross-sectional study. Nutr J. 2018;17(1):106. https://doi.org/10.1186/s12937-018-0417-z

76. Tang L, Peng H, Xu T, et al. Association of biomarkers of inflammation with dyslipidemia and its components among Mongolians in China. PLoS One. 2014;9(2):e89023. https://doi.org/10.1371/journal.pone.0089023

77. Toledo A, Huang Z, Benach JL, London E. Analysis of Lipids and Lipid Rafts in Borrelia. Methods Mol Biol. 2018;1690:69-82. https://doi.org/10.1007/978-1-4939-7383-5_6

78. Uslu AU, Sekin Y, Tarhan G, Canakcı N, Gunduz M, Karagulle M. Evaluation of Monocyte to High-Density Lipoprotein Cholesterol Ratio in the Presence and Severity of Metabolic Syndrome. Clin Appl Thromb Hemost. 2018;24(5):828-833. https://doi.org/10.1177/1076029617741362

79. Uthamalingam S, Patvardhan EA, Subramanian S, et al. Utility of the neutrophil to lympho- cyte ratio in predicting long-term outcomes in acute decompensated heart failure. Am J Cardiol. 2011;107(3):433-438. https://doi.org/10.1016/j.amjcard.2010.09.039

80. van Reedt Dortland AK, Giltay EJ, van Veen T, van Pelt J, Zitman FG, Penninx BW. Associations between serum lipids and major depressive dis- order: results from the Netherlands Study of De- pression and Anxiety (NESDA). J Clin Psychiatry. 2010;71(6):729-736. https://doi.org/10.4088/JCP.08m04865blu

81. Vancampfort D, Stubbs B, Mitchell AJ, et al. Risk of metabolic syndrome and its components in people with schizophrenia and related psychotic disorders, bipolar disorder and major depressive disorder: a systematic review and meta-analysis. World Psychiatry. 2015;14(3):339-347. https://doi.org/10.1002/wps.20252

82. Vuong J, Qiu Y, La M, Clarke G, Swinkels DW, Cembrowski G. Reference intervals of complete blood count constituents are highly correlated to waist circumference: should obese patients have their own «normal values?». Am J Hematol. 2014;89(7):671-677. https://doi.org/10.1002/ajh.23713

83. Wang W, Chen ZY, Guo XL, Tu M. Monocyte to High-Density lipoprotein and Apolipoprotein A1 Ratios: Novel Indicators for Metabolic Syndrome in Chinese Newly Diagnosed Type 2 Diabetes. Front Endocrinol (Lausanne). 2022;13:935776. https://doi.org/10.3389/fendo.2022.935776

84. Weber B, Schweiger U, Deuschle M, Heuser I. Major depression and impaired glucose tolerance. Exp Clin Endocrinol Diabetes. 2000;108(3):187-190. https://doi.org/10.1055/s-2000-7742

85. Wei Y, Gao H, Luo Y, et al. Systemic inflammation and oxidative stress markers in patients with unipolar and bipolar depression: A large-scale study. J Affect Disord. 2024;346:154-166. https://doi.org/10.1016/j.jad.2023.10.156

86. Wei Y, Wang T, Li G, et al. Investigation of systemic immune-inflammation index, neutrophil/high-density lipoprotein ratio, lymphocyte/high-density lipoprotein ratio, and monocyte/high-density lipoprotein ratio as indicators of inflammation in patients with schizophrenia and bipolar disorder. Front Psychiatry. 2022;13:941728 https://doi.org/10.3389/fpsyt.2022.941728

87. World Health Organization. Depressive disorder (depression) [who.int]. who; 2023 [cited 21 June 2024]. Available: https://www.who.int/news-room/fact-sheets/detail/depression

88. Yasar Z, Buyuksirin M, Ucsular FD, et al. Is an elevated neutrophil-to-lymphocyte ratio a predictor of metabolic syndrome in patients with chronic obstructive pulmonary disease?. Eur Rev Med Pharmacol Sci. 2015;19(6):956-962.

89. Yilmaz H, Ucan B, Sayki M, et al. Usefulness of the neutrophil-to-lymphocyte ratio to prediction of type 2 diabetes mellitus in morbid obesity. Diabetes Metab Syndr. 2015;9(4):299-304. https://doi.org/10.1016/j.dsx.2014.04.009

90. Yu S, Guo X, Li G, Yang H, Zheng L, Sun Y. Lymphocyte to High-Density Lipoprotein Ratio but Not Platelet to Lymphocyte Ratio Effectively Predicts Metabolic Syndrome Among Subjects From Rural China. Front Cardiovasc Med. 2021;8:583320. https://doi.org/10.3389/fcvm.2021.583320

91. Zhang SS, Yang XJ, Ma QH, et al. Leukocyte related parameters in older adults with metabolically healthy and unhealthy overweight or obesity. Sci Rep. 2021;11(1):4652. https://doi.org/10.1038/s41598-021-84367-7.


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Gorbunova A.P., Rukavishnikov G.V., Mazo G.E. Inflammation as a link between depression and metabolic syndrome. V.M. BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGY. 2024;58(4-2):8-19. (In Russ.) https://doi.org/10.31363/2313-7053-2024-1005

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