Association between systemic immunity-inflammation index and glucose regulation in non-diabetic population: A population-based study from the NHANES (2005-2016).

Wenxiang Qing, Yujie Qian
Author Information
  1. Wenxiang Qing: Department of Anesthesiology, Third Xiangya Hospital, Central South University, Changsha, China.
  2. Yujie Qian: Department of Pediatrics, Xiangya Hospital, Central South University, Changsha, China. ORCID

Abstract

BACKGROUND: To investigated the link between the systemic immunity-inflammation index (SII), a new inflammatory biomarker, and the risk of abnormal glucose regulation in non-diabetic population.
METHODS: Using data from the 2005-2016 National Health and Nutrition Examination Survey (NHANES), we conducted a cross-sectional study on non-diabetic adults with data on SII and glucose regulation markers. We analyzed the relationship between SII and indicators of glucose regulation, including fasting plasma glucose, fasting insulin, hemoglobin A1c, oral glucose tolerance test (OGTT), and states of abnormal glucose regulation like impaired glucose tolerance (IGT), insulin resistance, and prediabetes.
RESULTS: Adjusting for confounders, higher SII levels were significantly associated with a higher OGTT and a greater likelihood of IGT (OR = 2.673, 95% CI: 1.845, 3.873). In subgroup analysis, participants without hyperlipidemia in the highest SII quartile had a 240% higher odds of IGT compared to those in the lowest quartile (OR = 3.407, 95%CI: 1.995, 5.820), an association not observed in those with hyperlipidemia (p for interaction < 0.05).
CONCLUSIONS: SII emerges as a useful biomarker for identifying IGT in non-diabetic individuals, specifically in those without hyperlipidemia.

References

  1. Circulation. 2002 Dec 17;106(25):3143-421 [PMID: 12485966]
  2. Front Endocrinol (Lausanne). 2023 Oct 31;14:1245199 [PMID: 38027115]
  3. Diabetes Care. 2003 Jun;26(6):1745-51 [PMID: 12766104]
  4. Diabetes. 2002 May;51(5):1596-600 [PMID: 11978661]
  5. Clin Cancer Res. 2014 Dec 1;20(23):6212-22 [PMID: 25271081]
  6. Nutrients. 2023 Feb 26;15(5): [PMID: 36904176]
  7. J Biomed Sci. 2016 Dec 3;23(1):87 [PMID: 27912756]
  8. J Clin Endocrinol Metab. 2022 May 17;107(6):e2523-e2531 [PMID: 35137178]
  9. Lancet. 2012 Jun 16;379(9833):2279-90 [PMID: 22683128]
  10. Diabetes Care. 2021 Sep;44(9):2182 [PMID: 34135016]
  11. J Physiol Pharmacol. 2019 Dec;70(6): [PMID: 32084643]
  12. Clin Interv Aging. 2021 Jan 11;16:97-105 [PMID: 33469277]
  13. Diabetes Res Clin Pract. 2013 Feb;99(2):85-92 [PMID: 23245808]
  14. Can J Gastroenterol Hepatol. 2021 Feb 17;2021:6613827 [PMID: 33681089]
  15. Arthritis Res Ther. 2023 Mar 4;25(1):34 [PMID: 36871051]
  16. Diabetes Care. 2014 Sep;37(9):2557-64 [PMID: 25147254]
  17. Diabetes Res Clin Pract. 2004 May;64(2):99-106 [PMID: 15063602]
  18. Diabetes Metab Res Rev. 2021 Sep;37(6):e3405 [PMID: 33463010]
  19. Diabetologia. 2002 Jun;45(6):805-12 [PMID: 12107724]
  20. Diabetes Res Clin Pract. 2018 Apr;138:271-281 [PMID: 29496507]
  21. JAMA. 2023 Apr 11;329(14):1206-1216 [PMID: 37039787]
  22. Diabetes Care. 2006 Dec;29(12):2714-20 [PMID: 17130210]
  23. Front Public Health. 2022 Sep 06;10:985127 [PMID: 36148349]
  24. Can J Diabetes. 2019 Feb;43(1):40-45.e2 [PMID: 30026044]
  25. Diabetes Care. 2003 Aug;26(8):2323-8 [PMID: 12882856]
  26. Diabetes Care. 2023 Jan 1;46(Suppl 1):S19-S40 [PMID: 36507649]
  27. Clin Exp Optom. 2022 Nov;105(8):831-835 [PMID: 34763621]
  28. Diabetes Care. 2007 Oct;30(10):2529-35 [PMID: 17586736]
  29. Diabetes Care. 2015 Jul;38(7):1356-64 [PMID: 25877811]
  30. Diabetes Care. 2023 Jul 1;46(7):1388-1394 [PMID: 37196350]
  31. Nat Rev Immunol. 2011 Feb;11(2):98-107 [PMID: 21233852]
  32. Front Endocrinol (Lausanne). 2022 Dec 06;13:1071465 [PMID: 36561561]
  33. Front Endocrinol (Lausanne). 2022 Feb 17;13:820932 [PMID: 35250879]
  34. Exp Gerontol. 2021 Jul 15;150:111389 [PMID: 33957262]
  35. Front Immunol. 2022 Sep 15;13:925690 [PMID: 36189280]
  36. JAMA. 2001 Jul 18;286(3):327-34 [PMID: 11466099]
  37. Diabetes. 2003 Mar;52(3):812-7 [PMID: 12606524]

MeSH Term

Humans
Male
Female
Middle Aged
Inflammation
Nutrition Surveys
Blood Glucose
Adult
Cross-Sectional Studies
Glucose Tolerance Test
Glucose Intolerance
Prediabetic State
Biomarkers
Glycated Hemoglobin
Insulin Resistance
Insulin
Aged

Chemicals

Blood Glucose
Biomarkers
Glycated Hemoglobin
Insulin

Word Cloud

Created with Highcharts 10.0.0glucoseSIIregulationnon-diabeticIGThigherhyperlipidemiasystemicimmunity-inflammationindexbiomarkerabnormaldata2005-2016NHANESstudyfastinginsulintoleranceOGTTOR=13withoutquartileBACKGROUND:investigatedlinknewinflammatoryriskpopulationMETHODS:UsingNationalHealthNutritionExaminationSurveyconductedcross-sectionaladultsmarkersanalyzedrelationshipindicatorsincludingplasmahemoglobinA1coralteststateslikeimpairedresistanceprediabetesRESULTS:Adjustingconfounderslevelssignificantlyassociatedgreaterlikelihood267395%CI:845873subgroupanalysisparticipantshighest240%oddscomparedlowest40795%CI:9955820associationobservedpinteraction<005CONCLUSIONS:emergesusefulidentifyingindividualsspecificallyAssociationpopulation:population-based

Similar Articles

Cited By