Abstract
Objective
Bariatric surgery is associated with improved cognitive function, though the mechanisms are unclear. Elevated inflammation is common in obesity and associated with impaired cognition. Inflammation decreases after bariatric surgery, implicating it as a possible mechanism for cognitive improvement. The objective of this study was to examine whether reduced inflammation is a possible mechanism for post-operative cognitive improvement in bariatric surgery patients.
Methods
Participants were 77 bariatric surgery patients who completed cognitive testing before surgery and one year post-surgery. Cognitive domains assessed were attention/executive function, language, and memory. High-sensitivity C-reactive protein (hs-CRP) was assessed at both time points.
Results
Patients exhibited pre-operative cognitive impairment, though attention/executive (M±SDbaseline= 53.57 ± 8.68 vs.M±SDfollow-up= 60.32 ± 8.19) and memory (M±SDbaseline= 44.96 ± 7.98 vs.M±SDfollow-up= 51.55 ± 8.25) improved one year post-surgery. CRP was elevated at baseline and fell into the normative range post-surgery (M±SDbaseline= 0.9 ± 0.7vs.M±SDfollow-up= 0.2 ± 0.3 mg/dL). Pre-operative CRP was not associated with baseline cognitive function (β-values = -0.10 to 0.02) and changes in CRP also did not correspond to changes in cognition post-surgery (β-values = 0.02 to β = 0.11; ps>0.05 for all domains). A trend was detected for smaller improvements in memory among participants with elevated baseline CRP (>0.30 mg/dL) versus those with normal levels (Group x Time: p=0.083).
Conclusions
Improvements in hs-CRP were not associated with post-operative cognitive benefits. Future studies are needed to explore other inflammatory markers and potential mechanisms of cognitive improvement after bariatric surgery, including improved glycemic control and neurohormone changes.
Keywords: Obesity, bariatric surgery, cognitive function, inflammation, C-reactive protein, prospective study
Introduction
Obesity rates in the U.S. and across the globe have more than doubled over the past three decades(1–3), and obesity has been named a global epidemic by the World Health Organization(4). Obesity is associated with elevated morbidity(5), greater disability(6), and higher mortality risk(7). More recently, obesity has also been associated with poorer neurocognitive functioning across the lifespan(8) and in both healthy(9,10) and patient populations(11).
The cognitive sequelae of obesity include reduced performance on tasks of attention, executive function, and processing speed(8–10,12)as well as increased risk for neurodegenerative disorders, such as Alzheimer’s disease(13).In addition to these functional changes, obesity has also been associated with changes in brain structure (e.g., reduced whole brain volume) even among healthy adults(14). Importantly, recent studies suggest that the poorer neurocognitive functioning associated with obesity may be partially reversible through bariatric surgery(15,16). Indeed, post-operative cognitive improvements have been robust, lasting up to two years after bariatric surgery(15). However, the mechanisms by which bariatric surgery contributes to these cognitive benefits are unclear. Previous studies indicate that the substantial weight loss and the resolution of medical comorbidities (including hypertension, diabetes, and sleep apnea)following surgery do not fully account for the observed cognitive improvements(15).
A possible mechanism for the cognitive gains found after bariatric surgery might involve changes in inflammatory levels. High inflammation levels are associated with weight gain(17,18) and obesity(19–23). Elevated inflammation is also related to cognitive decline and dementia(24–28) and has been proposed as a mechanism for the elevated risk of such conditions in obese persons(29). Importantly, inflammation levels have been shown to decrease after bariatric surgery(30,31), indicating that post-operative reduction in inflammation may be one mechanism by which bariatric surgery leads to improved cognitive function. Unfortunately, no study has yet examined the relationship between inflammation and cognition before and after bariatric surgery. Thus, the goal of this prospective cohort study was to examine the relationship between the inflammatory marker, C-reactive protein, and cognitive functioning at baseline and 1-year follow-up in a sample of bariatric surgery patients. We hypothesized that baseline inflammation will be negatively correlated with baseline cognitive function and that reductions ininflammation will predict 1-year improvements in cognitive function.
Methods
Participants
A total of 77 participants were recruited from the larger Longitudinal Assessment of Bariatric Surgery (LABS) parent project, a multi-site NIH prospective cohort study examining multiple risks and benefits of bariatric surgery(32). Data collection began November 2006 and ended November 2012. The present study focused on a cohort of LABs participants in which the impact of bariatric surgery on cognitive function was examined and blood specimens were collected to detect inflammation (32).In contrast to our previous study (15), we were not able to include a control group or two-year follow-up data, given that blood specimens were not available for the controls or at two-year follow-up. All patients were enrolled and recruited from existing LABS sites (Columbia, Cornell, and Neuropsychiatric Research Institute) that had institutional review board approval and obtained participants’ informed consent(32).
Inclusion criteria included the following: (1) enrollment in LABS,(2) between 20–70 years of age, and (3)English-speaking. Exclusion criteria were as follows:(1) history of neurological disorder or injury (e.g., dementia, seizures), (2) moderate or severe head injury (defined as >10 minutes loss of consciousness), (3) past or current history of severe psychiatric illness (e.g. schizophrenia, bipolar disorder), (4) past or current history of substance abuse (defined by the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) criteria), (5) history of a learning disorder or developmental disability (defined by DSM-IV criteria), or (6) impaired sensory function. All but one patient who had gastric banding underwent Roux-en-Y gastric bypass (RYGB) as the bariatric surgical procedure. The present sample represents all individuals with complete baseline and 1-year follow-up blood work and cognitive testing. Demographic and clinical characteristics of the sample are presented (Table 1).
Table 1.
Characteristics | Baseline | 1-Year Follow-up | F/Chi-Square (p-value) |
---|---|---|---|
Age, mean(SD) | 43.4(10.6) | -- | -- |
Women, % | 83.1 | -- | -- |
Body Mass Index (kg/m2), mean(SD) | 46.7(5.3) | 30.5(5.4) | 1145.34 (<0.001)* |
Hypertension (% yes) | 44.2 | 39.0 | 2.9 (0.089) |
Type 2 diabetes (% yes) | 23.4 | 18.2 | 1.1 (0.29) |
Sleep Apnea (% yes) | 35.1 | 16.9 | 2.2 (0.14) |
CRP (mg/dL), mean(SD) | 0.9(0.7) | 0.2(0.3) | 84.1 (<0.001)* |
Note. CRP = C-reactive protein. Sample size varies for baseline and 1-year follow-up hypertension, type 2 diabetes, and sleep apnea; statistics for differences in the variables is based on complete data for each time point. Repeated measures analysis of variance and chi-square tests were used to examine changes in variables over time.
p< 0.01
Materials and Measures
Inflammation
High-sensitivity C-reactive protein (hs-CRP) was determined from participants’ fasting blood specimens. hs-CRP values (mg/dL) were quantified by the LABS Central Laboratory(Northwest Lipid Metabolism and Diabetes Research Laboratories; Seattle, Washington) using standardized assay procedures. We examined hs-CRP as a continuous variable in the primary analyses. For exploratory analyses, we also calculated a dichotomous variable using the Cardiovascular Risk Assessment (AHA/CDC) Recommendations (33) for elevated CRP levels: > 0.30 mg/dL for elevated CRP vs. < 0.30 mg/dL for average CRP.
Cognitive Function
The Integneuro cognitive test battery was administered to operationalize cognitive function in multiple domains. The Integneuro is a computerized battery that can be completed in 45–60 minutes and demonstrates excellent validity and reliability(34,35). The cognitive domains and associated tests were as follows:
Attention/Executive Function
Digit Span Total
This task tests participants’ attention and working memory. Participants are presented with a series of digits on the touch-screen, separated by a one-second interval. The subject is then immediately asked to enter the digits on a numeric keypad on the touch-screen. The number of digits in each sequence is gradually increased from 3 to 9, with two sequences at each level. The participants complete these same procedures in a backward sequence. Total digit span for both forwards and backwards served as the dependent variable.
Switching of Attention
This task is a computerized adaptation of the Trail Making Test A and B(36).Participants are first asked to touch a series of 25 numbers in ascending order as quickly as possible. This is followed by the presentation of 13 numbers (1–13) and 12 letters (AL) that participants alternately touch in ascending order. These tests assess attention and psychomotor speed as well as executive function. Time to completion served as the outcome measure in the current study.
Verbal Interference
This task taps into the ability to inhibit automatic and irrelevant responses and mimics the Stroop Color Word Test(37). Participants are presented with colored words one at a time. Below each colored word is a response pad with the four possible words displayed in black and in fixed format. The subject is required to name the color of each word as quickly as possible, assessing executive functioning. Total number of words correctly identified was used in the current analyses.
Memory
Verbal List-learning
Participants are read a list of 12 words a total of 4 times and asked to recall as many words as possible after each trial. Following presentation and recall of a distraction list, participants are then asked to recall words from the original list. After a 20-minute filled delay, participants are asked to freely recall the learned list and perform a recognition trial comprised of target words and non-target words. Total long delayed free recall and recognition of these verbal list items were indicators of memory function.
Language
Letter Fluency
Participants are asked to generate words beginning with a given letter of the alphabet for 60 seconds. A different letter is used for each of the three trials. Total number of correct words generated across the three trials served as the dependent variable.
Animal Fluency
In this task, participants generate as many animal names as possible in 60 seconds. Total correct served as the dependent variable.
Procedure
The Institutional Review Board approved all procedures, and participants provided written informed consent prior to study involvement. Consented participants underwent a blood draw after fasting for eight hours and completed a computerized cognitive test battery within 30 days prior to their bariatric surgery. The same procedures were performed one year following the surgery. Participant’s height and weight were measured at each time point and used to calculate body mass index (BMI; kg/m2). Medical and demographic characteristics were ascertained via self-report and corroborated by a medical record review performed by trained research staff.
Statistical Analysis
All raw scores of neuropsychological measures were converted to T-scores using normative data that accounts for age, gender, and estimated intelligence. T-scores are a type of standard score commonly used for neuropsychological testing and have a mean of 50 and a standard deviation of 10(38). Thus, a T-score of 35 is equivalent to cognitive performance that is 1.5 SDs below the mean and at the 7th percentile and is indicative of meaningful cognitive impairment(38). Baseline and 1-year follow-up composite scores for attention/executive function, memory, and language were computed that consisted of the mean of T-scores of the cognitive tasks that comprise each domain. Change in BMI from baseline to 1-year post-surgery was also calculated and included as a covariate in the current analyses.
To examine the baseline effects of CRP on baseline cognitive function, three separate regression analyses were conducted that consisted of age (years), sex (1 = males; 2 = females), and baseline BMI(kg/m2) entered in block 1 and baseline CRP in block 2. Baseline attention/executive function, memory, or language served as the dependent variable for each regression model. An additional series of separate regression models were then performed to determine the effects of post-operative changes in CRP on each cognitive domain at the 1-year follow-up. Specifically, block 1 included age, sex, change in BMI, baseline performance of the respective cognitive domain, and baseline CRP levels. Block 2 included CRP at 1-year follow-up to determine its incremental predictive validity on cognitive function at 1-year follow-up.
Of note, we adjusted for baseline values in our models in order to adjust for the variance in the outcome variable that was due to the baseline scores and leaving the unique variance in the outcomes variable that was due to change. However, follow-up analyses were also conducted to determine whether change scores might better capture the association between change in CRP and cognition. Specifically, a difference score (i.e., 12-month – baseline) was computed for CRP and each cognitive domain, and the above regression models were repeated without baseline values entered in block 1. Block 2 included the CRP difference composite, and the dependent variables were the cognitive function difference scores.
Results
Sample Characteristics
The sample was severely obese at baseline with patients, on average, categorized as having Class III obesity(4) (Table 1). At 1-year post-surgery, average BMI decreased by 35%(F(1, 76) = 1145.34, p < .001)and patients were categorized as having Class I obesity(Table 1). Diagnostic status of hypertension, type 2 diabetes mellitus (T2DM), and sleep apnea were also prevalent at baseline, but participants exhibited fewer medical comorbidities at the 1-year follow-up (Table 1).
CRP at Baseline and Follow-up
The sample demonstrated high levels of CRP at baseline (Table 1) with approximately 26% of participants exhibiting a CRP > 1.0 mg/dL. However, at 1-year post-surgery participants had CRP levels that fell within the normative range and represented a significant decrease (F(1,76) = 84.06, p< .001); of note, only 2 persons at 1-year follow-up exhibited CRP levels greater than 1.0 mg/dL (Table 1).
Bivariate correlations and independent samples t-tests were used to examine the association between CRP levels and sample characteristics. Baseline CRP was not associated with age (r(75) = −0.14, p = 0.23), sex (t(75) = −1.59, p = 0.12), baseline BMI (r(75) = −0.03, p = 0.82), or baseline diagnostic status of hypertension (t(75) = 1.75, p = 0.085), T2DM (t(75) = −0.09, p = 0.93), or sleep apnea (t(75) = 0.16, p = 0.88). One year after surgery, higher levels of CRP were associated with increased BMI (r(75) = 0.32, p = 0.005); however, this pattern did not emerge for hypertension (t(71) = −1.02, p = 0.31), T2DM (t(71) = −0.61, p = 0.54), or sleep apnea (t(12.95) = 0.56, p = 0.59) at the 1-year follow-up.
Cognitive Function at Baseline and Follow-up
Rates of baseline cognitive impairment (T-scores < 35) ranged from 2.6 to 16.9% (Table 2). The highest rates of impairment were in language (i.e., letter fluency) and memory (i.e., long delayed free recall and recognition tasks). Impairments on tasks of attention/executive function were observed but less prevalent. Repeated measures ANOVA showed significant improvements in cognitive function over the 1-year post-surgery in attention/executive function (F(1,76) = 91.80, p< .001) and memory (F(1,76) = 48.31, p< .001). There were no significant pre- to postoperative changes in language abilities(F(1,76) = 0.51, p = 0.48). Relative to pre-operative performance, rates of cognitive impairment were less prevalent one year following surgery on the majority of attention/executive function, memory, and language measures (Table 2).
Table 2.
Baseline M(SD) | 1-year Follow-up M(SD) | ANOVA p value | Baseline % with T-score < 35a | 1-year Follow-up % with T-score < 35a | |
---|---|---|---|---|---|
Attention/Executive Function | |||||
Composite Score | 53.57(8.68) | 60.32(8.19) | <0.001* | 2.6 | 0.0 |
Digit Span Total | 50.67(9.01) | 54.43(10.86) | 0.005* | 2.6 | 0.0 |
SOA-A | 55.78(13.59) | 64.18(12.13) | <0.001* | 7.8 | 1.3 |
SOA-B | 53.81(14.40) | 60.72(11.88) | <0.001* | 6.5 | 6.5 |
Verbal Interference | 54.02(13.42) | 61.96(11.85) | <0.001* | 7.8 | 1.3 |
Memory | |||||
Composite Score | 44.96(7.98) | 51.55(8.25) | <0.001* | 6.5 | 1.3 |
LDFR | 46.95(10.81) | 54.17(9.25) | <0.001* | 13.0 | 1.3 |
Recognition | 42.96(9.31) | 48.92(9.79) | <0.001* | 15.6 | 6.5 |
Language | |||||
Composite Score | 48.81(10.04) | 49.37(9.43) | 0.48 | 7.8 | 3.9 |
Verbal Fluency | 46.92(11.41) | 47.40(10.53) | 0.59 | 16.9 | 11.7 |
Animals | 50.69(10.81) | 51.35(10.86) | 0.53 | 5.2 | 5.2 |
Note. SOA = Switching of Attention. LDFR = Long Delay Free Recall. Repeated measures analyses of variance were conducted to examine changes in cognitive test performance over time.
T-scores < 35 are equal to 1.5 standard deviations below the mean and indicate cognitive impairment (38)
p <0.01
Effects of CRP on Cognitive Function at Baseline and Follow-up
Regression analyses controlling for age, sex, and baseline BMI showed no baseline effects of CRP levels on any of the baseline cognitive domains (β = −0.10 to 0.02 and p> 0.05 for all). Consistent with this pattern, regressions also indicated that 1-year follow-up CRP levels did not predict follow-up cognitive function in any of the domains after controlling for age, sex, change in BMI, and baseline factors (see Table 3).Zero-order correlations also revealed no association between CRP levels and attention/executive function (r(75) = 0.08, p = 0.48), memory (r(75) = 0.06, p = 0.61) or language abilities (r(75) = −0.06, p = 0.61) at the 1-year follow-up. Likewise, regression analyses that used difference scores continued to show no longitudinal association between CRP levels and cognitive function in any of the domains (p> 0.10 for all).
Table 3.
Attention/Executive Function | Memory | Language | |||||||
---|---|---|---|---|---|---|---|---|---|
β | SE b | p | β | SE b | p | β | SE b | p | |
Block 1 | |||||||||
Age | 0.30 | 0.07 | 0.73 | −0.15 | 0.09 | 0.17 | −0.09 | 0.08 | 0.32 |
Sex | 0.10 | 1.83 | 0.25 | 0.04 | 2.39 | 0.71 | −0.01 | 2.05 | 0.95 |
BMI Change | −0.04 | 0.16 | 0.65 | −0.08 | 0.21 | 0.47 | 0.03 | 0.19 | 0.70 |
Baseline CRP | 0.00 | 0.93 | 0.99 | 0.00 | 1.19 | 0.99 | 0.02 | 1.05 | 0.82 |
Baseline Cognition† | 0.72 | 0.08 | <0.001* | 0.44 | 0.11 | <0.001* | 0.76 | 0.08 | <0.001* |
R2 | 0.55 | 0.26 | 0.56 | ||||||
F | 17.18 | 5.11 | 18.28 | ||||||
p-value | <0.001* | <0.001* | <0.001* | ||||||
Block 2 | |||||||||
Follow-up CRP | 0.11 | 2.76 | 0.31 | 0.11 | 3.60 | 0.42 | 0.02 | 3.14 | 0.84 |
R2 | 0.55 | 0.27 | 0.56 | ||||||
F for ΔR2 | 1.07 | 0.66 | 0.04 | ||||||
p-value | 0.31 | 0.42 | 0.84 |
Note.
Each 1-year follow-up cognitive function variable was adjusted for its corresponding baseline cognitive function variable. Hierarchical regression analyses were conducted to examine whether post-bariatric surgery changes in CRP predicted cognitive test performance at the one-year follow-up.
p< 0.01
Sensitivity Analyses
We also conducted a set of exploratory sensitivity analyses to examine whether the effects of post-operative changes in CRP on cognition at 1-year follow-up differed among the following groups: (1) individuals aged >50 years, (2) individuals with elevated baseline CRP (> 0.30 mg/dL), and (3) individuals who experienced relatively less post-operative weight loss.
First, past work suggests that the sensitivity of inflammatory processes on cognitive outcomes increases with age (25–27). Accordingly, we restricted the sample to participants aged >50 years (N = 23) and then re-ran the models which included age, sex, change in BMI, baseline cognitive performance, and baseline CRP levels on Block 1 and CRP at 1-year follow-up on Block 2. These exploratory analyses continued to show no effects of post-operative changes in CRP levels on attention/executive function (p = 0.72), memory (p = 0.71), or language (p = 0.52) following bariatric surgery.
Second, we also examined whether those participants that exhibited elevated CRP levels at baseline (e.g., CRP > 0.30 mg/dL) demonstrated smaller cognitive improvements over the year following surgery. Participants were categorized into two baseline CRP groups: Elevated CRP (e.g.,> 0.30 mg/dL) and average CRP (e.g., < 0.30 mg/dL). Repeated measures ANOVA then examined changes in each cognitive domain with CRP entered as a grouping variable. A strong trend emerged for a CRP X Time effect on memory (F(1,75) = 3.08, p = 0.083). Participants with elevated baseline CRP levels exhibited smaller improvements in memory one year after surgery (Table 4). No such pattern emerged for attention/executive function(p = 0.60) or language abilities (p = 0.64).
Table 4.
Individuals with Elevated Baseline CRP (n = 60)a | Individuals with Normal Baseline CRP (n = 17)b | |||||||
---|---|---|---|---|---|---|---|---|
Baseline | Follow-up | Average Change | Baseline | Follow-up | Average Change | Group X Time | p-value | |
Attention/EF | 53.36(9.00) | 59.92(8.75) | +6.56 | 54.29(7.65) | 61.75(5.79) | +7.46 | 0.28 | .60 |
Memory | 45.09(8.44) | 50.81(8.08) | +5.72 | 44.49(6.27) | 54.16(8.53) | +9.67 | 3.08 | .083 |
Language | 48.65(10.23) | 49.01(9.51) | +0.36 | 49.37(9.62) | 50.65(9.30) | +1.64 | 0.23 | .64 |
Note. EF = executive function. Average change represents group-level changes from baseline to follow-up. Positive values indicate improvement in cognitive performance at follow-up. Repeated measure analyses of variance were conducted to examine cognitive changes one year after bariatric surgery in participants with elevated and normal baseline CRP.
Elevated CRP values are CRP value ≥ 0.30 mg/dL.
Normal CRP values are CRP values < 0.30 mg/dL.
Finally, we examined whether the effects of follow-up CRP levels on cognitive function at follow-up differed among those participants with relatively less post-operative weight loss. All participants exhibited significant decreases in BMI at 1-year follow-up, so a median split was used to categorize participants into relatively high vs. low weight loss groups as based on the magnitude of BMI decrease. The median split (BMI decrease of 16.6 points) allowed us to maximize the sample size of the low weight loss group (n = 38). Among the low weight loss group, regression analyses controlling for age, sex, BMI change, baseline CRP, and baseline cognitive function showed that 1-year follow-up CRP levels were not predictive of attention/executive function (p = 0.19), memory (p = 0.54), or language (p = 0.71) at follow-up.
Discussion
This prospective study examined whether reduced inflammation is a possible mechanism for improvements in cognition following bariatric surgery. Although inflammation and cognition improved post-operatively, inflammation was not related to cognitive function at baseline and reductions in inflammation did not predict improvements in cognitive function at 1-year follow-up. Interestingly, participants classified as having elevated baseline inflammation showed a trend for smaller improvements in memory compared to those with average levels, but this effect was not observed for other domains and should not be over-interpreted. Of note, despite the use of two analytic methods (i.e., adjusting for baseline values vs. calculating difference scores), our pattern of null results remained the same.
The results of this study are consistent with evidence that reduced inflammation and improved cognition follow bariatric surgery (15,16,31). However, the lack of an association between these changes is somewhat surprising given past work that elevated systemic inflammation is associated with greater cognitive impairment, cognitive decline, and dementia(24–28)and has been shown to accelerate neurodegenerative disease progression(39). There are several possible explanations for this lack of association. First, many past studies that have detected an inflammation-cognitive decline relationship have focused on older adult samples(25–28), and findings in middle-aged adults are much more variable(40–42).However, even when limiting the current sample to patients 50 years and older, no association between changes in hs-CRP and cognitive function emerged. Similarly, the reliance on hs-CRP as a marker of inflammation may have contributed to our findings, as obesity is associated with elevations in many inflammatory markers(21–23), including some that may be more closely associated with cognitive function(28,43). For example, in persons with a trial fibrillation, reductions in markers such as interleukin (IL)-2, IL-9, and IL-12 predicted improved cognitive function but CRP did not(44). Additional work is much needed to clarify the possible contribution of inflammation to cognitive function in obese persons, especially given the recent findings that reduced inflammation following bariatric surgery was associated with reduced expression of Alzheimer’s disease-related genes(31).
In addition to examining additional inflammatory markers, other possible mechanisms for the cognitive benefits of bariatric surgery should be examined. For example, metabolic dysfunction, such as poor glycemic control and altered brain glucose metabolism, have been shown to improve after bariatric surgery and weight loss(45,46). Because these abnormalities have been implicated in cognitive impairment(47), changes in insulin regulation and glucose metabolism are likely contributors to post-operative gains. Similarly, bariatric surgery provides many cardiovascular and cardiorespiratory benefits(48,49) and improvements in processes such as endothelial function may lead to better cognitive function(50,51). Finally, novel markers such as members of the polypeptide Y family that are potent an orexigenic and orexigenic compounds with weight regulation effects(52) have been implicated in cognitive function (53,54), and are altered after bariatric surgery(55).Clearly, future work is needed to elucidate the most important contributors to cognitive improvement as change in such markers may ultimately reduce the risk of Alzheimer’s disease in obese individuals(56).
Several limitations of the current study should be noted. First, our sample was modestly sized and comprised largely of patients that underwent RYGB. Future investigations with a larger and more diverse sample are needed as it is possible that other surgical procedures may produce differential cognitive effects. For example, gastric sleeve gastrectomy produces different post-operative outcomes than RYGB (e.g., less nutritional deficiencies(57) and greater reductions in ghrelin levels(58)), and such differences might lead to differences in neurocognitive outcomes. Second, our study was predominately middle-aged adults and research on the possible neurocognitive effects of bariatric surgery in older adults is much needed. Although there has been a dramatic increase in the number of bariatric surgery procedures in older adults(59), little is known about the possible neurocognitive outcomes in this population. Similarly, studies involving longer surgical follow-up intervals (e.g., 10+ years) may help to clarify whether changes in inflammation and other possible mechanisms following bariatric surgery can ultimately reduce risk of conditions like Alzheimer’s disease. Next, our study did not include measures of physical activity and/or cardiorespiratory fitness. Given the consistently documented relationship of these fitness variables with cognitive function (49,60,61)and inflammation (62,63), future studies should include activity and fitness indicators as other potential mechanisms of post-surgery cognitive improvement or confounders of inflammation-cognition relationships. Lastly, we were not able to adjust for patients’ medication use in this study. Given the potential influence of commonly prescribed medications on cognitive function (64–66), future investigations should examine whether baseline medication use and/or post-surgery medication changes are associated with cognitive changes.
In brief conclusion, reduced inflammation(as measured by CRP) was not associated with improved cognitive function in persons who underwent bariatric surgery. Future studies are needed to explore other inflammatory markers (e.g., α1-antichymotrypsin or interleukin-6) and to clarify other potential mechanisms by which bariatric surgery results in cognitive improvement. Similarly, extended follow-up periods are needed to elucidate whether effective bariatric surgery and weight loss can ultimately reduce risk of conditions like stroke or Alzheimer’s disease.
Acknowledgments
Source of Funding: This research was supported by National Institute of Diabetes and Digestive and Kidney Disease Grant R56DK075119 to John Gunstad.
Abbreviations
- DSM-IV
Diagnostic and Statistical Manual of Mental Disorders
- hs-CRP
high sensitivity C-reactive protein
- LABS
Longitudinal Assessment of Bariatric Surgery
- RYGB
Roux-en-Y gastric bypass
Footnotes
Conflicts of Interest : None declared.
References
- 1.Flegal KM, Carroll MD, Kuczmarski RJ, Johnson CL. Overweight and obesity in the United States: prevalence and trends, 1960–1994. International journal of obesity and related metabolic disorders. 1998;22:39–47. doi: 10.1038/sj.ijo.0800541. [DOI] [PubMed] [Google Scholar]
- 2.Flegal KM, Carroll MD, Kit BK, Ogden CL. Prevalence of Obesity and Trends in the Distribution of Body Mass Index Among US Adults, 1999–2010. JAMA. 2012;307:491–97. doi: 10.1001/jama.2012.39. [DOI] [PubMed] [Google Scholar]
- 3.World Health Organization. Obesity Situation and Trends. [Accessed 9/17/2013, 2013];Global Health Observatory. 2013 http://www.who.int/gho/ncd/risk_factors/obesity_text/en/index.html.
- 4.World Health Organization. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser. 2000;894:i–xii. 1–253. [PubMed] [Google Scholar]
- 5.Must A, Spadano J, Coakley EH, Field AE, Colditz G, Dietz WH. The disease burden associated with overweight and obesity. JAMA : the journal of the American Medical Association. 1999;282:1523–29. doi: 10.1001/jama.282.16.1523. [DOI] [PubMed] [Google Scholar]
- 6.Ferraro KF, Su YP, Gretebeck RJ, Black DR, Badylak SF. Body mass index and disability in adulthood: a 20-year panel study. Am J Public Health. 2002;92:834–40. doi: 10.2105/ajph.92.5.834. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Lloyd-Jones D, Adams RJ, Brown TM, Carnethon M, Dai S, De Simone G, Ferguson TB, Ford E, Furie K, Gillespie C, Go A, Greenlund K, Haase N, Hailpern S, Ho PM, Howard V, Kissela B, Kittner S, Lackland D, Lisabeth L, Marelli A, McDermott MM, Meigs J, Mozaffarian D, Mussolino M, Nichol G, Roger VL, Rosamond W, Sacco R, Sorlie P, Stafford R, Thom T, Wasserthiel-Smoller S, Wong ND, Wylie-Rosett J Committee obot AHAS, Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics--2010 Update: A Report From the American Heart Association. Circulation. 2010;121:e46–215. doi: 10.1161/CIRCULATIONAHA.109.192667. [DOI] [PubMed] [Google Scholar]
- 8.Smith E, Hay P, Campbell L, Trollor J. A review of the association between obesity and cognitive function across the lifespan: implications for novel approaches to prevention and treatment. Obesity Reviews. 2011;12:740–55. doi: 10.1111/j.1467-789X.2011.00920.x. [DOI] [PubMed] [Google Scholar]
- 9.Cournot M, Marquie J, Ansiau D, Martinaud C, Fonds H, Ferrieres J, Ruidavets J. Relation between body mass index and cognitive function in healthy middle-aged men and women. Neurology. 2006;67:1208–14. doi: 10.1212/01.wnl.0000238082.13860.50. [DOI] [PubMed] [Google Scholar]
- 10.Gunstad J, Paul RH, Cohen RA, Tate DF, Spitznagel MB, Gordon E. Elevated body mass index is associated with executive dysfunction in otherwise healthy adults. Comprehensive psychiatry. 2007;48:57–61. doi: 10.1016/j.comppsych.2006.05.001. [DOI] [PubMed] [Google Scholar]
- 11.Gunstad J, Lhotsky A, Wendell CR, Ferrucci L, Zonderman AB. Longitudinal examination of obesity and cognitive function: results from the Baltimore Longitudinal Study of Aging. Neuroepidemiology. 2010;34:222–29. doi: 10.1159/000297742. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Stanek KM, Strain G, Devlin M, Cohen R, Paul R, Crosby RD, Mitchell JE, Gunstad J. Body mass index and neurocognitive functioning across the adult lifespan. Neuropsychology. 2013;27:141. doi: 10.1037/a0031988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Beydoun M, Beydoun H, Wang Y. Obesity and central obesity as risk factors for incident dementia and its subtypes: a systematic review and meta – analysis. Obesity Reviews. 2008;9:204–18. doi: 10.1111/j.1467-789X.2008.00473.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Gunstad J, Paul RH, Cohen RA, Tate DF, Spitznagel MB, Grieve S, Gordon E. Relationship between body mass index and brain volume in healthy adults. International Journal of Neuroscience. 2008;118:1582–93. doi: 10.1080/00207450701392282. [DOI] [PubMed] [Google Scholar]
- 15.Alosco ML, Spitznagel MB, Strain G, Devlin M, Cohen R, Paul R, Crosby RD, Mitchell JE, Gunstad J. Improved memory function two years after bariatric surgery. Obesity. 2013 doi: 10.1002/oby.20494. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Miller LA, Crosby RD, Galioto R, Strain G, Devlin MJ, Wing R, Cohen RA, Paul RH, Mitchell JE, Gunstad J. Bariatric Surgery Patients Exhibit Improved Memory Function 12 Months Postoperatively. Obesity surgery. 2013:1–9. doi: 10.1007/s11695-013-0970-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Holz T, Thorand B, Döring A, Schneider A, Meisinger C, Koenig W. Markers of Inflammation and Weight Change in Middle-Aged Adults: Results From the Prospective MONICA/KORA S3/F3 Study. Obesity. 2010;18:2347–53. doi: 10.1038/oby.2010.73. [DOI] [PubMed] [Google Scholar]
- 18.Duncan BB, Schmidt MI, Chambless LE, Folsom AR, Carpenter M, Heiss G for the AI. Fibrinogen, Other Putative Markers of Inflammation, and Weight Gain in Middle-aged Adults—The ARIC Study. Obesity Research. 2000;8:279–86. doi: 10.1038/oby.2000.33. [DOI] [PubMed] [Google Scholar]
- 19.Cancello R, Clement K. Is obesity an inflammatory illness? Role of low-grade inflammation and macrophage infiltration in human white adipose tissue. International Journal of Obstetrics & Gynaecology. 2006;113:1141–47. doi: 10.1111/j.1471-0528.2006.01004.x. [DOI] [PubMed] [Google Scholar]
- 20.Choi J, Joseph L, Pilote L. Obesity and C-reactive protein in various populations: a systematic review and meta-analysis. Obesity Reviews. 2013;14:232–44. doi: 10.1111/obr.12003. [DOI] [PubMed] [Google Scholar]
- 21.Panagiotakos DB, Pitsavos C, Yannakoulia M, Chrysohoou C, Stefanadis C. The implication of obesity and central fat on markers of chronic inflammation: The ATTICA study. Atherosclerosis. 2005;183:308–15. doi: 10.1016/j.atherosclerosis.2005.03.010. [DOI] [PubMed] [Google Scholar]
- 22.Maachi M, Pieroni L, Bruckert E, Jardel C, Fellahi S, Hainque B, Capeau J, Bastard J. Systemic low-grade inflammation is related to both circulating and adipose tissue TNFα, leptin and IL-6 levels in obese women. International Journal of Obesity. 2004;28:993–97. doi: 10.1038/sj.ijo.0802718. [DOI] [PubMed] [Google Scholar]
- 23.Park HS, Park JY, Yu R. Relationship of obesity and visceral adiposity with serum concentrations of CRP, TNF-α and IL-6. Diabetes research and clinical practice. 2005;69:29–35. doi: 10.1016/j.diabres.2004.11.007. [DOI] [PubMed] [Google Scholar]
- 24.Gorelick PB. Role of inflammation in cognitive impairment: results of observational epidemiological studies and clinical trials. Annals of the New York Academy of Sciences. 2010;1207:155–62. doi: 10.1111/j.1749-6632.2010.05726.x. [DOI] [PubMed] [Google Scholar]
- 25.Trollor JN, Smith E, Agars E, Kuan SA, Baune BT, Campbell L, Samaras K, Crawford J, Lux O, Kochan NA. The association between systemic inflammation and cognitive performance in the elderly: the Sydney Memory and Ageing Study. Age. 2012;34:1295–308. doi: 10.1007/s11357-011-9301-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Yaffe K, Kanaya A, Lindquist K, Simonsick EM, Harris T, Shorr RI, Tylavsky FA, Newman AB. The metabolic syndrome, inflammation, and risk of cognitive decline. JAMA: the journal of the American Medical Association. 2004;292:2237. doi: 10.1001/jama.292.18.2237. [DOI] [PubMed] [Google Scholar]
- 27.Yaffe K, Lindquist K, Penninx B, Simonsick E, Pahor M, Kritchevsky S, Launer L, Kuller L, Rubin S, Harris T. Inflammatory markers and cognition in well-functioning African-American and white elders. Neurology. 2003;61:76–80. doi: 10.1212/01.wnl.0000073620.42047.d7. [DOI] [PubMed] [Google Scholar]
- 28.Dik M, Jonker C, Hack C, Smit J, Comijs H, Eikelenboom P. Serum inflammatory proteins and cognitive decline in older persons. Neurology. 2005;64:1371–77. doi: 10.1212/01.WNL.0000158281.08946.68. [DOI] [PubMed] [Google Scholar]
- 29.Misiak B, Leszek J, Kiejna A. Metabolic syndrome, mild cognitive impairment and Alzheimer's disease–the emerging role of systemic low-grade inflammation and adiposity. Brain Research Bulletin. 2012 doi: 10.1016/j.brainresbull.2012.08.003. [DOI] [PubMed] [Google Scholar]
- 30.Ramos EJ, Xu Y, Romanova I, Middleton F, Chen C, Quinn R, Inui A, Das U, Meguid MM. Is obesity an inflammatory disease? Surgery. 2003;134:329–35. doi: 10.1067/msy.2003.267. [DOI] [PubMed] [Google Scholar]
- 31.Ghanim H, Monte SV, Sia CL, Abuaysheh S, Green K, Caruana JA, Dandona P. Reduction in inflammation and the expression of amyloid precursor protein and other proteins related to Alzheimer's disease following gastric bypass surgery. Journal of Clinical Endocrinology & Metabolism. 2012;97:E1197–E201. doi: 10.1210/jc.2011-3284. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Belle SH, Berk PD, Courcoulas AP, Flum DR, Miles CW, Mitchell JE, Pories WJ, Wolfe BM, Yanovski SZ. Safety and efficacy of bariatric surgery: Longitudinal Assessment of Bariatric Surgery. Surgery for Obesity and Related Diseases. 2007;3:116–26. doi: 10.1016/j.soard.2007.01.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Pearson TA, Mensah GA, Alexander RW, Anderson JL, Cannon RO, Criqui M, Fadl YY, Fortmann SP, Hong Y, Myers GL. Markers of inflammation and cardiovascular disease application to clinical and public health practice: a statement for healthcare professionals from the centers for disease control and prevention and the American Heart Association. Circulation. 2003;107:499–511. doi: 10.1161/01.cir.0000052939.59093.45. [DOI] [PubMed] [Google Scholar]
- 34.Paul RH, Lawrence J, Williams LM, RICHARD CC, Cooper N, Gordon E. Preliminary validity of “integneuro TM”: A new computerized battery of neurocognitive tests. International Journal of Neuroscience. 2005;115:1549–67. doi: 10.1080/00207450590957890. [DOI] [PubMed] [Google Scholar]
- 35.Williams L, Simms E, Clark C, Paul R, Rowe D, Gordon E. The test-retest reliability of a standardized neurocognitive and neurophysiological test battery:“neuromarker”. International Journal of Neuroscience. 2005;115:1605–30. doi: 10.1080/00207450590958475. [DOI] [PubMed] [Google Scholar]
- 36.Reitan RM. Validity of the Trail Making Test as an indicator of organic brain damage. Perceptual and Motor Skills. 1958;8:271–76. [Google Scholar]
- 37.Golden JC. Stroop Color and Word Test. Chicago, IL: Stoelting; 1978. [Google Scholar]
- 38.Mertler CA. Interpreting Standardized Test Scores: Strategies for Data-Driven Instructional Decision Making. Thousand Oaks, CA: Sage Publications, Inc; 2007. [Google Scholar]
- 39.Cunningham C, Campion S, Lunnon K, Murray CL, Woods JF, Deacon RM, Rawlins JNP, Perry VH. Systemic inflammation induces acute behavioral and cognitive changes and accelerates neurodegenerative disease. Biological Psychiatry. 2009;65:304–12. doi: 10.1016/j.biopsych.2008.07.024. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Marsland AL, Petersen KL, Sathanoori R, Muldoon MF, Neumann SA, Ryan C, Flory JD, Manuck SB. Interleukin-6 covaries inversely with cognitive performance among middle-aged community volunteers. Psychosomatic Medicine. 2006;68:895–903. doi: 10.1097/01.psy.0000238451.22174.92. [DOI] [PubMed] [Google Scholar]
- 41.Teunissen C, Van Boxtel M, Bosma H, Bosmans E, Delanghe J, De Bruijn C, Wauters A, Maes M, Jolles J, Steinbusch H. Inflammation markers in relation to cognition in a healthy aging population. Journal of neuroimmunology. 2003;134:142–50. doi: 10.1016/s0165-5728(02)00398-3. [DOI] [PubMed] [Google Scholar]
- 42.Gimeno D, Marmot MG, Singh-Manoux A. Inflammatory markers and cognitive function in middle-aged adults: the Whitehall II study. Psychoneuroendocrinology. 2008;33:1322–34. doi: 10.1016/j.psyneuen.2008.07.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Mooijaart SP, Sattar N, Trompet S, Lucke J, Stott DJ, Ford I, Jukema J, Westendorp RG, Craen AJ. Circulating interleukin-6 concentration and cognitive decline in old age: the PROSPER study. Journal of Internal Medicine. 2013 doi: 10.1111/joim.12052. [DOI] [PubMed] [Google Scholar]
- 44.Lappegård KT, Pop-Purceleanu M, van Heerde W, Sexton J, Tendolkar I, Pop G. Improved neurocognitive functions correlate with reduced inflammatory burden in atrial fibrillation patients treated with intensive cholesterol lowering therapy. Dementia. 2013;11:16. doi: 10.1186/1742-2094-10-78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Gumbs AA, Modlin IM, Ballantyne GH. Changes in insulin resistance following bariatric surgery: role of caloric restriction and weight loss. Obesity surgery. 2005;15:462–73. doi: 10.1381/0960892053723367. [DOI] [PubMed] [Google Scholar]
- 46.Tuulari JJ, Karlsson HK, Hirvonen J, Hannukainen JC, Bucci M, Helmiö M, Ovaska J, Soinio M, Salminen P, Savisto N. Weight loss after bariatric surgery reverses insulin-induced increases in brain glucose metabolism of the morbidly obese. Diabetes. 2013;62:2747–51. doi: 10.2337/db12-1460. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Convit A. Links between cognitive impairment in insulin resistance: an explanatory model. Neurobiology of aging. 2005;26:31–35. doi: 10.1016/j.neurobiolaging.2005.09.018. [DOI] [PubMed] [Google Scholar]
- 48.Athyros V, Tziomalos K, Karagiannis A, Mikhailidis D. Cardiovascular benefits of bariatric surgery in morbidly obese patients. Obesity Reviews. 2011;12:515–24. doi: 10.1111/j.1467-789X.2010.00831.x. [DOI] [PubMed] [Google Scholar]
- 49.Hillman CH, Erickson KI, Kramer AF. Be smart, exercise your heart: exercise effects on brain and cognition. Nature Reviews Neuroscience. 2008;9:58–65. doi: 10.1038/nrn2298. [DOI] [PubMed] [Google Scholar]
- 50.Kearney-Schwartz A, Rossignol P, Bracard S, Felblinger J, Fay R, Boivin J-M, Lecompte T, Lacolley P, Benetos A, Zannad F. Vascular structure and function is correlated to cognitive performance and white matter hyperintensities in older hypertensive patients with subjective memory complaints. Stroke. 2009;40:1229–36. doi: 10.1161/STROKEAHA.108.532853. [DOI] [PubMed] [Google Scholar]
- 51.Vázquez LA, Pazos F, Berrazueta JR, Fernández-Escalante C, García-Unzueta MT, Freijanes J, Amado JA. Effects of changes in body weight and insulin resistance on inflammation and endothelial function in morbid obesity after bariatric surgery. Journal of Clinical Endocrinology & Metabolism. 2005;90:316–22. doi: 10.1210/jc.2003-032059. [DOI] [PubMed] [Google Scholar]
- 52.Reizes O, Benoit SC, Clegg DJ. Neuroregulation of Appetite. Treatment of the Obese Patient. 2007:3–26. [Google Scholar]
- 53.Redrobe JP, Dumont Y, St-Pierre J-A, Quirion R. Multiple receptors for neuropeptide Y in the hippocampus: putative roles in seizures and cognition. Brain research. 1999;848:153–66. doi: 10.1016/s0006-8993(99)02119-8. [DOI] [PubMed] [Google Scholar]
- 54.Bennett G, Ballard T, Watson C, Fone K. Effect of neuropeptides on cognitive function. Experimental gerontology. 1997;32:451–69. doi: 10.1016/s0531-5565(96)00159-3. [DOI] [PubMed] [Google Scholar]
- 55.le Roux CW, Aylwin SJ, Batterham RL, Borg CM, Coyle F, Prasad V, Shurey S, Ghatei MA, Patel AG, Bloom SR. Gut hormone profiles following bariatric surgery favor an anorectic state, facilitate weight loss, and improve metabolic parameters. Annals of surgery. 2006;243:108. doi: 10.1097/01.sla.0000183349.16877.84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Barnes DE, Yaffe K. The projected effect of risk factor reduction on Alzheimer's disease prevalence. The Lancet Neurology. 2011;10:819–28. doi: 10.1016/S1474-4422(11)70072-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Gehrer S, Kern B, Peters T, Christoffel-Courtin C, Peterli R. Fewer nutrient deficiencies after laparoscopic sleeve gastrectomy (LSG) than after laparoscopic Roux-Y-gastric bypass (LRYGB)—a prospective study. Obesity surgery. 2010;20:447–53. doi: 10.1007/s11695-009-0068-4. [DOI] [PubMed] [Google Scholar]
- 58.Langer F, Hoda MR, Bohdjalian A, Felberbauer F, Zacherl J, Wenzl E, Schindler K, Luger A, Ludvik B, Prager G. Sleeve gastrectomy and gastric banding: effects on plasma ghrelin levels. Obesity surgery. 2005;15:1024–29. doi: 10.1381/0960892054621125. [DOI] [PubMed] [Google Scholar]
- 59.Santry HP, Gillen DL, Lauderdale DS. Trends in bariatric surgical procedures. JAMA: the journal of the American Medical Association. 2005;294:1909–17. doi: 10.1001/jama.294.15.1909. [DOI] [PubMed] [Google Scholar]
- 60.Barnes DE, Yaffe K, Satariano WA, Tager IB. A longitudinal study of cardiorespiratory fitness and cognitive function in healthy older adults. Journal of the American Geriatrics Society. 2003;51:459–65. doi: 10.1046/j.1532-5415.2003.51153.x. [DOI] [PubMed] [Google Scholar]
- 61.McAuley E, Mullen SP, Hillman CH. Social Neuroscience and Public Health. Springer; 2013. Physical Activity, Cardiorespiratory Fitness, and Cognition Across the Lifespan; pp. 235–52. [Google Scholar]
- 62.Lavie CJ, Church TS, Milani RV, Earnest CP. Impact of physical activity, cardiorespiratory fitness, and exercise training on markers of inflammation. Journal of cardiopulmonary rehabilitation and prevention. 2011;31:137–45. doi: 10.1097/HCR.0b013e3182122827. [DOI] [PubMed] [Google Scholar]
- 63.Kasapis C, Thompson PD. The Effects of Physical Activity on Serum C-Reactive Protein and Inflammatory MarkersA Systematic Review. Journal of the American College of Cardiology. 2005;45:1563–69. doi: 10.1016/j.jacc.2004.12.077. [DOI] [PubMed] [Google Scholar]
- 64.Amado-Boccara I, Gougoulis N, Poirier Littre M, Galinowski A, Loo H. Effects of antidepressants on cognitive functions: a review. Neuroscience & Biobehavioral Reviews. 1995;19:479–93. doi: 10.1016/0149-7634(94)00068-c. [DOI] [PubMed] [Google Scholar]
- 65.Muldoon MF, Waldstein SR, Ryan CM, Jennings JR, Polefrone JM, Shapiro AP, Manuck SB. Effects of six anti-hypertensive medications on cognitive performance. Journal of hypertension. 2002;20:1643–52. doi: 10.1097/00004872-200208000-00028. [DOI] [PubMed] [Google Scholar]
- 66.Golomb BA, Criqui MH, White H, Dimsdale JE. Conceptual foundations of the UCSD Statin Study: a randomized controlled trial assessing the impact of statins on cognition, behavior, and biochemistry. Archives of internal medicine. 2004;164:153–62. doi: 10.1001/archinte.164.2.153. [DOI] [PMC free article] [PubMed] [Google Scholar]