Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 May 26;23(1):121.
doi: 10.1186/s12902-023-01369-4.

The neutrophil to lymphocyte ratio (NLR) positively correlates with the presence and severity of metabolic syndrome in obese adults, but not in obese children/adolescents

Affiliations

The neutrophil to lymphocyte ratio (NLR) positively correlates with the presence and severity of metabolic syndrome in obese adults, but not in obese children/adolescents

Alice Marra et al. BMC Endocr Disord. .

Abstract

Metabolic syndrome (MetS) associated with obesity is a pathological condition increasing worldwide. Recent studies have demonstrated that the neutrophil to lymphocyte ratio (NLR) can be successfully used to stage MetS in obese adults. The aim of the study was to evaluate NLR values in 552 children/adolescents (M 219, F 333; 14.8 [12.9-16.3] years) and 231 adults (M 88, F 143; 52.3 [36.4-63.3] years) with morbid obesity, subdivided into subgroups according with the presence or absence of MetS. Adult patients with obesity showed a higher prevalence of MetS compared to the pediatric population (71% vs 26%), associated with a greater number of subjects with 3 and 4-5 altered components for MetS. NLR was higher (P-value = 0.041) in adults with MetS compared with those without. NLR values also positively correlated with the severity grade of the syndrome (P-value = 0.032). By contrast, in pediatric subjects with obesity with MetS, NLR values were comparable with those recorded in subjects without MetS (P-value = 0.861), no correlation being found with MetS severity (P-value = 0.441). Our study confirms the importance of NLR as an inflammatory indicator associated with MetS in adult subjects with severe obesity, while it excludes a similar role in children/adolescents.

Keywords: Adults; Children/adolescents; Metabolic syndrome; Neutrophil to lymphocyte ratio; Obesity.

PubMed Disclaimer

Conflict of interest statement

The authors declare no competing interests.

Figures

Fig.1
Fig.1
NLR increases in MetS+ obese adults compared with MetS+ obese children/adolescents. Dot plots represent the NLR values in children/adolescents (red) and adults (black) both with metabolic syndrome. The NLR difference in the two populations was calculated using the non-parametric Mann–Whitney U test. **** = P-value < 0.0001
Fig. 2
Fig. 2
Neutrophils/lymphocytes ratio (NLR) positively correlates with the severity of metabolic syndrome in adult patients. a,c Dot plots represent the NLR values in children/adolescents and adults according to the severity of metabolic syndrome. The severity of metabolic syndrome is indicated with the amount of IDF criteria: MetS 1–2 (low grade, no metabolic syndrome in red), MetS 3 (moderate grade, in black), MetS 4–5 (high grade in orange). P-value is calculated using the non parametric Mann–Whitney U test. * = P-value < 0.05; ns (not significant) = P-value > 0.05. b,d Non parametric Spearman rank correlation test between neutrophil-lymphocytes ratio and metabolic syndrome in children/adolescents and adults showed a positively correlation between the variables. Abbreviations: r = correlation coefficient. * = P-value < 0.05; ns (not significant) = P-value > 0.05
Fig. 3
Fig. 3
Accuracy of NLR as a marker of metabolic syndrome in children/adolescents and adults. a ROC (receiver operating characteristic) curves for NLR in children/adolescents. AUC = 0.502, P-value = 0.862. b ROC (receiver operating characteristic) curves for NLR in children/adolescents. AUC = 0.5851, P-value = 0.041. Abbreviation: ROC, receiver operating characteristic curve; AUC, area under the curve

Similar articles

Cited by

References

    1. World Health Organisation (WHO). Obesity and Overweight. 2021. Available online: https://www.who.int/news-room/fact-sheets/detail/obesity-and-overweight.
    1. Abarca-Gómez L, Abdeen ZA, Hamid ZA, Abu-Rmeileh NM, Acosta-Cazares B, Acuin C, et al. Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Lancet. 2017;390(10113):2627–2642. doi: 10.1016/S0140-6736(17)32129-3. - DOI - PMC - PubMed
    1. Spinelli A, Buoncristiano M, Kovacs VA, Yngve A, Spiroski I, Obreja G, et al. Prevalence of Severe Obesity among Primary School Children in 21 European Countries. Obes Facts. 2019;12(2):244–258. doi: 10.1159/000500436. - DOI - PMC - PubMed
    1. Samson SL, Garber AJ. Metabolic Syndrome. Endocrinol Metab Clin N Am. 2014;43(1):1–23. doi: 10.1016/j.ecl.2013.09.009. - DOI - PubMed
    1. Lemieux I, Després JP. Metabolic Syndrome: Past, Present and Future. Nutrients. 2020;12(11):3501. doi: 10.3390/nu12113501. - DOI - PMC - PubMed