This is the first study to analyze the response of the inflammatory status associated with obesity after weight loss following bariatric surgery (SG and RYGB), measured by blood values of the NLR, PLR, SIRI, SIII indices. These indices, which are easy to obtain, could act as markers of the immunological/inflammatory status with prognostic character in different pathologies [16, 17, 18, 19] and predictors of outcome after several surgical procedures, including bariatric surgery [20, 21, 22].
The NLR is one of the most recently studied indices and has been shown to be a predictor of adverse outcomes in patients with cardiovascular, neoplastic, and inflammatory disease [23], and has been found to be associated with other proinflammatory biomarkers, adiposity, and progressive subclinical atherogenesis [24]. This marker may reflect the balance between the innate (neutrophils) and adaptive (lymphocytes) immune response [23]. Neutrophils mediate the inflammatory response through numerous biochemical mechanisms (release of arachidonic acid metabolites, platelet aggregating factors, free radicals, hydrolytic enzymes) [25], and regulatory T lymphocytes play an inhibitory role in atherosclerosis [26]. NLR reflects the neutrophilia of inflammation and the relative lymphopenia of the cortisol-induced stress response [25]. It is a more stable measure than single cell counts [26] because it is not affected by cortisol production or neuroendocrine stress [27, 28].
Obesity increases the development of lymphopenia and neutrophilia, increasing the NLR [29]. Our results, in agreement with those of other authors [30], show that the higher the BMI, the higher the NLR. Herishanu et al. found an association between leukocytosis and BMI > 30 kg/m2, with an 11% increased risk of leukocytosis per 1 kg/m2 increase in BMI [31].
The NLR has been suggested as an independent predictor of metabolic syndrome and cardiovascular disease [32], being related, in addition to obesity, with hypertension, hyperlipemia, and diabetes incidence, severity, and control [10, 33, 34]. A correlation between the number of metabolic syndrome criteria and the increase in NLR is even described [30, 35].
Although reference values for NLR have not yet been standardized, especially in patients with obesity, NLR levels between 0.78 and 3.53 have been described in the healthy population [36]. Hashemi et al. established NLR > 2.12 as a risk cut-off value for patients with central obesity and development of metabolic syndrome [10]. The mean NLR in patients with obesity who were candidates for bariatric surgery in our study was 2 (1.5–2.7) and decreased to 1.6 (1.2–2.1) at 5 years after bariatric surgery. Imtiaz et al. observed a significant association between NLR and the probability of having arterial hypertension in patients with NLR greater than 2.57, showing that type 2 diabetes developed when the index exceeded 3.12 [37].
Regarding the incidence of complications after bariatric surgery, the association with the initial NLR is not clear and, like other authors [38, 39], we found no association. A recent meta-analysis found only temporary changes and in certain subgroups of complications compared to CRP and NLR levels. [40].
Concerning the outcomes of bariatric surgery, we observed a decrease in the values of NLR, PLR, SII and SIRI along with a decrease in postoperative weight and BMI (p < 0.001). The preoperative NLR has been proposed as a predictive marker of weight loss and improvement of diabetes after BC [16]. Bulur O et al. found a decrease in NLR levels at 3, 6 and 12 months after SG (p < 0.001) [41]. A retrospective study of 100 patients with SG found a significant decrease in NLR from 2.21 (baseline) to 1.78 at 3 months postoperatively. A preoperative NLR < 2.36 had a sensitivity of 67.6% and a specificity of 62.5% for predicting successful weight loss 3 months after SG [42]. An extension of this study concludes that high BMI, NLR ≥ 2.36, and female gender are risk factors for predicting suboptimal excess weight loss (EBWL < 37.7%) at 3 months after SG [43].
The PLR was found to be increased in patients with obesity [6]. In our case, it was statistically significantly associated with baseline BMI. The usefulness of PLR and plateletcrit as markers of increased thrombotic status and inflammatory response in patients with severe obesity is suggested [6].
SIRI and SII may serve to detect and predict the presence and severity of systemic inflammatory processes, including cardiovascular disease and metabolic syndrome [44]. In our study, we found an association of SIRI and SII with both baseline BMI and post-bariatric surgery BMI, with variations according to gender and age.
In line with our results, other authors find that bariatric surgery could have an effect of improving the inflammatory profile and increasing anti-inflammatory markers [45]. In this sense, our study goes one step further by providing evidence in this direction.
Limitations
The main limitations of this study are those derived from its retrospective design, with a long follow-up period, due to the loss of data from some older patients. However, it is a sample with a significant number of patients, treated by the same surgical team, with homogeneity of management and whose results can be extrapolated to the general population.