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. Author manuscript; available in PMC: 2017 Oct 1.
Published in final edited form as: Curr Opin Endocrinol Diabetes Obes. 2016 Oct;23(5):373–378. doi: 10.1097/MED.0000000000000277

The Impact of Bariatric Surgery on Inflammation: Quenching the Fire of Obesity?

Samar Hafida 1, Tooraj Mirshahi 2, Barbara S Nikolajczyk 3
PMCID: PMC5067163  NIHMSID: NIHMS821925  PMID: 27455515

Structured Abstract

Purpose of the review

Numerous lines of evidence support the likelihood that inflammation drives the transition from obese/metabolically healthy to obese/type 2 diabetes (T2D). Given the temporal flexibility of inflammation in obesity-associated T2D, investigators have hypothesized that a precipitous drop in diabetogenic cytokines is critical for rapid “T2D remission” following surgery but prior to significant weight loss. We review the evidence that changes in diabetogenic cytokines play a role in outcomes of bariatric surgery, including weight loss and improved glycemic control.

Recent Findings

A 2016 indication for bariatric surgery to treat T2D integrates the large body of data showing short-term metabolic improvement. Parameters that account for improved glycemic control prior to significant weight loss, T2D recidivism over the long term, or failure of surgery to remit T2D in some patients are incompletely understood.

Summary

We review the evidence that changes in diabetogenic cytokines play a role in outcomes of bariatric surgery, including improved glycemic control. We brainstorm future research directions that may improve surgical results.

Keywords: bariatric surgery, Type 2 Diabetes, inflammation, cytokines, acute phase proteins

Introduction

Briatric surgery, most commonly Roux-en-Y gastric bypass (RYGB), is an effective intervention for morbid obesity and obesity-associated type 2 diabetes (T2D) [13]. Recent recommendations indicate bariatric surgery as the preferred treatment for T2D in class III obese (BMI ≥40) subjects, with consideration of surgery for class II obese people (BMI 35–39.9) with inadequately control hyperglycemia [4]. Most patients show significant metabolic improvement after bariatric surgery, with T2D remission rates of up to 70% of patients 2 yrs post-RYGB [5] and evidence for T2D remission as soon as one week post-surgery [6]. Using longitudinal data from a large registry of bariatric patients, we developed a predictive scoring system, DiaRem, which uses readily available clinical data to provide a likelihood of remission. DiaRem integrates data showing that younger patients with lower %HbA1c who are not on insulin are disproporionately likely to remit their T2D early after surgery [7, 8]. Insulin therapy, older age and high pre-surgery %HbA1c values predict low likelihood for T2D remission, clearly pointing to an essential role for a functioning β-cell population for diabetes remission post-surgery. However, a gap remains in accuracy of DiaRem, and in comprehensive identification of mechanisms that regulate T2D remission following bariatric surgery, and in our ability to develop non-surgical techniques that mimic the advantages of bariatric surgery-mediated T2D remission on an individualized basis.

Inflammation is a known complication of obesity that supports T2D development and differentiates metabolic healthy from metabolically unhealthy obesity [9]. Inflammatory status can change rapidly, due in part to the tight regulation of cytokine production [1014], raising the possibility that a precipitous drop in diabetogenic cytokines is important for rapid post-surgical T2D remission. By extension, failure of inflammation to resolve after surgery may blunt improvements in glycemic control. A growing number of studies have measured traditional mediators of diabetogenic inflammation, including TNFα, IL-6 and CRP at various time points following bariatric surgery (see below). However, differences in experimental design of these studies, coupled with recent work that refines the generic term “inflammation” in obesity and T2D [12], suggest that longitudinal analysis of inflammation, focused on dominant inflammatory signatures of T2D and standardized surgical procedures, may improve our understanding of the role inflammation plays in surgically-induced T2D remission.

I. Mechanisms Underlying Improved Glycemic Control Following Bariatric Surgery

The ability of RYGB to “cure” T2D was first recognized by Pories and colleagues 20 years ago [2]. More recent studies showed up to 75–85% T2D remission [1, 15, 16] even before weight loss [6]. RYGB most effectively achieves a rapid improvement in glycemic control if T2D subjects are younger, have lower HbA1c levels and are not on insulin [17, 18].

Progress in identifying the mechanisms underlying improvements in glycemic control following RYGB and other types of bariatric surgery prior to significant weight loss has recently accelerated. The dominant hypothesis is that physical removal of tissues in some bariatric procedures leads to early arrival of nutrients in the distal ileum plus increased incretin secretion [1921], which together are responsible for rapid glycemic improvement in RYGB. Alternatively, recent work in rats has shown that expansion of the small intestine in response post-surgical exposure to less fully digested food requires high amounts of glucose [22]. These data support the authors’ conclusion that the requirement for glucose for intestinal growth depletes circulating glucose, thus the clinical appearance of T2D remission. The moderate numbers of current reports have not assessed inflammation prior to significant weight loss, in part based on the expected inflammatory spike as a normal intra-surgical or immediately post-surgical event [2325].

II. The Impact of Bariatric Surgery on Diabetogenic Inflammation

Although reports showing improved glycemic control within a week of bariatric surgery have not investigated potential changes in inflammation, a moderate number of studies have measured classical markers of diabetogenic inflammation at various time points following different surgical procedures. The inflammatory markers most often measured in bariatric surgery outcome studies include: TNFα, the first inflammatory cytokine implicated in obesity-associated metabolic derangement [26]; IL-6, a pleiotropic cytokine that has complex effects on obesity-associated metabolic decline [2729]; and CRP and serum amyloid A (SAA), two acute phase proteins that are imperfect yet commonly used indicators of inflammation [30]. Overall, the effect of surgery and/or surgically-induced weight loss on inflammation has been inconsistent [3137].

IIA. The Effect of Bariatric Surgery on TNFα

TNFα is arguably the most frequently quantitated cytokine in serum/plasma of post-surgical patients, due to strong associations of TNFα with insulin resistance [38]. TNFα concentrations at 2 weeks, 6 months, and/or 13 months after laparoscopic RYGB (LRYGB), were indistinguishable from pre-surgical/baseline levels in two independent studies [35, 39]. A third study of samples from subjects undergoing LRYGB showed TNFα significantly increased 3 months post-surgery compared to baseline, while recapitulating the other studies’ findings of no change in TNFα in comparison at 6 and 12 month post-surgery [36]. In contrast, a fourth analysis of TNFα 3 weeks-6 months post RYGB showed a significant decrease at each time point compared to baseline [31]. This latter outcome was consistent with rat RYGB work showing that adipose tissue mRNA levels of TNFα decreased 9 weeks post-operatively compared to the sham procedure, although RYGB did not alter TNFα amounts in the rats’ livers [25]. Thus the impact of RYGB on TNFα remain controversial.

In contrast to the inconsistency of RYGB for inducing changes in TNFα across studies, the impact of laparoscopic adjustable gastric banding (LAGB) on TNFα is relatively consistent, with multiple groups showing no change in serum levels anywhere from 2 weeks up to 14 months post-operatively [40, 41] despite an improvement in markers of glucose homeostasis [42], and a pre-op correlation between insulin resistance and serum TNFα [40]. Although findings for circulating TNFα following LAGB all show no change, Moschen et al. [43] found that TNFα in subcutaneous adipose tissue dramatically dropped, and that adipose tissue TNFα mRNA correlated with improved insulin sensitivity six months after LAGB. Interestingly gastric banding-associated weight loss also reduced T cell numbers [42]. Taken together, the existing studies suggest that the exact surgical procedure (RYGB vs. LAGB) may impact the TNFα response. Perhaps most importantly, this work shows inconsistency among studies, and calls for comparisons amongst outcomes from a standardized set of surgical procedures to understand the impact of bariatric surgery on TNFα-associated inflammation.

IIB. The Effect of Bariatric Surgery on Circulating IL-6

Interleukin-6 (IL-6) is often considered a strictly pro-inflammatory cytokine, but IL-6 has broader biologic properties, based in part on differences in the signaling cascades activated by the subunit composition of the two recognized IL-6 receptors [44, 45]. As a result of the well-known duplicity of IL-6, it is perhaps unsurprising that both gain-of-IL-6-function and loss-of-IL-6-function in mice and/or humans (knock-out, neutralizing antibody, or IL-6 infusion) improve glycemic control [2729]. Regardless of the precise role of IL-6 in obesity and obesity-associated metabolic disease, many investigators have measured IL-6 following post-bariatric surgery weight loss. IL-6 concentrations were unchanged in T2D subjects two weeks post-RYGB and a 7% weight loss [37]. An independent measurement of IL-6 at baseline and 3,6,12 months post-RYGB indicated significant increases only at the 3 month time point [36]. In contrast, several reports agree that IL-6 decreases 12–14 months after RYGB [24, 46]; however, the studies disagreed on whether IL-6 correlated with BMI, insulin concentrations or HOMA-IR. Omentectomy during RYGB did not significantly affect IL-6 twelve months after RYGB [47]. Similar to the lack of consistency in studies measuring in IL-6 changes post-RYGB, the changes in serum IL-6 levels after LAGB varied across studies: Samaras et al. noted a transient decrease in IL-6 two weeks after LAGB, which then returned to baseline at 12 weeks, despite a significant improvement in the glycemic control of T2D patients [42]. Independent analysis similarly showed no change in IL-6 twelve months post-surgery and following significant weight loss [41, 43]. In contrast, a third study found a reduction in serum, subcutaneous adipose tissue, and liver IL-6 that correlated with improved insulin sensitivity six months after LAGB [43], consistent with other work [40]. Taken together, these studies indicate that comparisons of nearly identical surgical procedures at matched time points post-surgery will be essential to understand the impact of bariatric surgery on IL-6-mediated inflammation.

IIC. The Effect of Bariatric Surgery on Acute Phase Proteins

C-reactive protein (CRP), an acute phase liver protein that rapidly rises in response to injury or inflammation, is a traditional (albeit imperfect) measure of inflammation [48]. Generally speaking, serum CRP levels drop following bariatric surgery with a decline that correlates with weight loss as indicated by studies that measured CRP 6 months after sleeve gastrectomy [49]. Detectable decreases have also been noted as early as one month post-op [50]. CRP also significantly decreased 6 months after LAGB [43], and was similarly low for 12 months in an independent (though procedurally similar) analysis following LAGB [41]. CRP concentrations have also been measured in samples from patients who received RYGB, with investigators taking measurements at various time points ranging from 6–52 weeks post-op. At 12 months post-op, subjects averaged an 82% reduction in CRP, which was more pronounced in those who were insulin sensitive (as indicated by a HOMA-IR of <4) at baseline. The change in CRP associated with HOMA-IR but was independent of the change in body weight in these subjects [46]. In contrast, CRP reduction did not correlate with HOMA-IR fourteen months after gastroplasty, but instead independently correlated with BMI reduction [40]. Similar to the surgically-induced drop in CRP in the studies cited above, a more thorough longitudinal analysis high sensitivity CRP (hsCRP), at 3,6, and12 months post-RYGB showed progressive drops from baseline at all three time points, and correlated with BMI, insulin and HOMA-IR [36]. This work recapitulates the drop in CRP measured after RYGB-induced weight loss of 7% [37]. Finally, one study of Korean T2D subjects showed CRP decreased about the same in people with and without T2D remission following RYGB [51]. Overall, unlike the variable changes in TNFα, IL-6 and other obesity-associated inflammatory molecules (such as MCP-1, IL-8 etc.) following various weight loss surgeries, CRP generally falls, raising the possibility that bariatric procedures lower the risk of cardiovascular disease in obese subjects.

Like CRP, serum amyloid A (SAA) is an acute phase reactant synthesized by the liver in response to inflammation [52]. SAA is increased in obesity [53, 54], and obesity-associated complications including atherosclerosis [55, 56]. Twelve months after RYGB, SAA decreased by 57% in a group of 66 obese patients. The SAA reduction paralleled lower CRP, but CRP remained more significantly correlated with BMI change than did SAA [46]. A similar study looking at the relationship between T2D and SAA before and 13 months after RYGB in a small cohort of women with or without T2D found that RYGB significantly reduced circulating SAA, which correlated strongly with the reduction in body fat, but was independent of T2D status [35]. Work by Poitou et al. further reinforced these findings by demonstrating that a mixed cohort of obese RYGB and LAGB subjects had reduced serum SAA 3 months post-surgery. SAA concentrations failed to correlate with metabolic markers such as glucose, insulin and plasma lipids, but instead correlated with BMI and adipocyte volume. Importantly, serum SAA protein correlated with mRNA expression of inducible SAA (isoforms 1 and 2) from subcutaneous adipose tissue [57]. Overall, the data indicate that obesity-associated increases in SAA concentrations are related adiposity rather than insulin resistance, and that like CRP, SAA generally falls as a result of multiple weight lost surgery procedures. Taken together, these data indicate that acute phase proteins change more predictably than TNFα, IL-6, or other cytokines measured (MCP-1, IL-8 etc. [39, 5860] following bariatric surgery (Figure 1). One exception to the variability in cytokine responses to bariatric surgery is adiponectin, a generally anti-inflammatory cytokine made by adipocytes, which uniformly increases post- surgery [36, 61].

Figure 1.

Figure 1

Changes in inflammatory biomarkers following bariatric surgery. Left: Surgical patients are selected based on obesity as indicated by the large circle. Surgical patients with T2D are also inflamed as indicated by the large flame. Following bariatric surgery, the majority of patients lose weight, as indicated by the decreased size of the circle. Right: multiple outcomes for the post-surgical change in inflammation have been reported. Cytokine changes are controversial and study-dependent, as indicated by the size of the flame (top three outcomes). Acute phase proteins decrease and are often correlated with weight loss or metabolic health as assess by HOMA-IR or glycemic control.

III. Conclusions

The relationships among measures of post-surgical cytokines, acute phase proteins, and metabolic health improvements, including T2D remission, remain poorly understood. The widely predicted drop in T2D-promoting inflammation following bariatric surgery-induced weight loss has been inconsistently supported over numerous studies that differ in surgical procedure, post-surgical time point and tissue studied. It is possible that fundamental differences in mechanisms that regulate inflammatory cytokines (TNFα, IL-6, IL-8 etc.) and acute phase proteins (CRP and SAA) together with the different surgical procedures explain the unpredictability of the inflammation outcomes, and may also explain the inconsistency of the relationships between both types of inflammatory markers and measures of metabolic improvement. It is equally possible that technical differences in sample collection/handling account for the varying outcomes, including the small sample number (and unreported power) used for many studies. Our preliminary work indicates that, in contrast to the recognizable cytokine signatures we found by stimulating PBMCs from obese/T2D subjects [12], cytokine signatures in plasma or serum yields weak suggestions of relationships between obesity and measures of metabolic health, perhaps due in part to low signal-to-noise ratios. We predict a more comprehensive analytical screen on stimulated PBMCs as we published [12], with cells collected before and at multiple time points after bariatric surgery, both separate and integrated analysis of the different surgical techniques, and addition of metabolic variables to the multivariate analyses may shed light on the role inflammation plays in outcomes following various types of bariatric surgery (Table 1). Given the ability of cytokine profiles from stimulated PBMCs to predict clinical disease status [12], pre-surgical inflammatory profiling may also help identify people who are likely to maximally benefit from a given surgical approach, and perhaps most importantly, to predict those for whom bariatric surgery will not trigger significant weight loss or T2D remission. Finally, in light of new data showing that surgically-induced T2D remission may not be permanent, especially in non-whites [62], coupled with the general paradigm that inflammation is critical for metabolic decline in obese individuals [9], analysis of inflammatory profiles may be important for understanding permanency of metabolic improvement post-surgery. Determining relationships amongst inflammatory mediators, pancreatic beta cell function and T2D remission will be absolutely essential towards shifting the standard of care to maximally benefit patients.

Table 1.

Variables that may explain the inconsistencies in outcomes of inflammatory changes following bariatric surgery and possible solutions

Variables that may explain the inconsistencies in post-surgical measures of inflammation, and possible solution to these identified challenges.

Variable Solution [Reference]
Surgical Technique (RYGB, GB, SG etc.) Group studies using very similar techniques in analysis
Time Points Limit analysis to quarterly time points after initial inflammatory surge (2 wks+ post-surgery)
Tissue Source Use PBMCs or adipose tissue; signal:noise of serum/plasma limits value [12,25,42,43,57]
Cytokines Measured Focus on cytokines validated to dominate diabetogenic inflammation [12]
Pre-Surgical Metabolic State Characterize subjects according to clinical research standards (IV glucose tolerance or clamps) rather than %HbA1c etc. [37]
Pre-Surgical Inflammatory State Focus on cytokines validated to dominate diabetogenic inflammation [12]
Analytical Tool Use constrained and unconstrained multivariate approaches in addition to traditional regression analyses to assess inflammation [12]

IV. Key Points

  1. Inflammation causes the transition from obese and metabolically healthy to obese and metabolically unhealthy.

  2. Measures of inflammatory changes following bariatric surgery, including TNFα, IL-6, and acute phase proteins (CRP and SAA) are inconsistent despite the demonstrated impact of surgery on weight loss and T2D remission.

  3. Inflammatory proteins shown to predict T2D through multivariate analytical approaches have not been tested for impact on T2D remission following bariatric surgery.

  4. Longitudinal studies, coupled with an appreciation of potential differences in inflammation due to differences in surgical techniques and sample timing will be absolutely essential to assess the importance of inflammation in bariatric surgery outcomes, including T2D remission and T2D recurrence following transient remission.

Acknowledgments

Financial support and sponsorship: Supported by R01 DK108056 and The Boston University CTSI UL1TR001430.

Footnotes

Conflicts of interest: The authors have no conflicts of interest.

VI. References and Recommended reading

Papers of particular interest, published within the annual period of review, (18 months/2015–2016) have been highlighted as:

* of special interest

** of outstanding interest

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