Surgery Results in Exaggerated and Persistent Cognitive Decline in a Rat Model of the Metabolic Syndrome
Feng, Xiaomei M.D., Ph.D.*; Degos, Vincent M.D., Ph.D.†; Koch, Lauren G. Ph.D.‡; Britton, Steven L. Ph.D.§; Zhu, Yinggang M.D.‖; Vacas, Susana M.D.#; Terrando, Niccolò B.Sc., Ph.D.**; Nelson, Jeffrey M.S.††; Su, Xiao M.D., Ph.D.†; Maze, Mervyn M.B., Ch.B.‡‡
Background: Postoperative cognitive decline can be reproduced in animal models. In a well-validated rat model of the Metabolic Syndrome, we sought to investigate whether surgery induced a more severe and persistent form of cognitive decline similar to that noted in preliminary clinical studies.
Methods: In rats that had been selectively bred for low and high exercise endurance, the low capacity runners (LCR) exhibited features of Metabolic Syndrome (obesity, dyslipidemia, insulin resistance, and hypertension). Tibial fracture surgery was performed under isoflurane anesthesia in LCR and high capacity runner (HCR) rats and cognitive function was assessed postoperatively in a trace-fear conditioning paradigm and Morris Water Maze; non-operated rats were exposed to anesthesia and analgesia (sham). Group sizes were n = 6.
Results: On postoperative D7, LCR rats had shorter freezing times than postoperative HCR rats. Five months postoperatively, LCR rats had a flatter learning trajectory and took longer to locate the submerged platform than postoperative HCR rats; dwell-time in the target quadrant in a probe trial was shorter in the postoperative LCR compared to HCR rats. LCR and HCR sham rats did not differ in any test.
Conclusion: Postoperatively, LCR rats diverged from HCR rats exhibiting a greater decline in memory, acutely, with persistent learning and memory decline, remotely; this could not be attributed to changes in locomotor or swimming performance. This Metabolic Syndrome animal model of surgery-induced cognitive decline corroborates, with high fidelity, preliminary findings of postoperative cognitive dysfunction in Metabolic Syndrome patients.
What We Already Know about This Topic
* The contributions of surgery, anesthesia and pathophysiological factors in postoperative cognitive decline are difficult to resolve in clinical studies
* Metabolic syndrome might enhance inflammation-mediated postoperative complications, including cognitive dysfunction
What This Article Tells Us That Is New
* Using a rat model, metabolic syndrome produced greater memory impairment and persistent learning and memory decline following tibial fracture surgery under isoflurane anesthesia
* Further studies are necessary to determine the mechanisms of these effects, and how metabolic syndrome exacerbates postoperative cognitive dysfunction
MILD transient cognitive decline after surgery may occur commonly; however, some patients develop a more severe form that meets the Diagnostic and Statistical Manual of Mental Disorders IV classification of delirium or a longer-lasting form, referred to as postoperative cognitive dysfunction. It has been estimated that 11% of patients undergoing elective surgery develop delirium between post-operative days 1–4; surgical patients with this complication require more intensive care and have a higher mortality rate.1
Because postoperative cognitive dysfunction is not classified in the Diagnostic and Statistical Manual of Mental Disorders IV, it lacks firm diagnostic criteria; if a threshold of “worse than expected” postoperative cognitive decline is used, then postoperative cognitive dysfunction occurs in >10% of non-cardiac surgical patients over the age of 65 years.2
With neither standardized cognitive domain testing nor appropriate controls, some have challenged whether the frequency of persistent postoperative cognitive decline is beyond that expected from “natural,” age-dependent deterioration.3–5
In order to overcome the lack of appropriate controls in clinical studies (i.e.
, surgical patients who are randomized to a cohort that does not receive surgery), we have set up models of rodents in which to explore the independent effects of surgery and anesthesia, and to address the molecular and cellular mechanisms that contribute to this condition.6–9
For animal models to be valid, these models need to reproduce salient features of the clinical syndrome. Patient factors, including increasing age, less higher education, postoperative complications (respiratory and infectious), and re-operation, had all been reported to increase the likelihood of developing postoperative cognitive decline.2
We, and others, have shown that more severe and persistent cognitive decline occurs in the settings of perioperative infection11
and advanced age.12
The induction of short-lived neuroinflammation, following the release of damage-associated molecular patterns from traumatized tissue, appears to be necessary for the organism’s central nervous system-mediated “sickness behavior;” this is comprised of a fever, anorexia, somnolence, and cognitive impairment, and injured animals in this state remain sedentary promoting healing rather than risking further injury. Our recent preclinical studies have revealed that the transient cognitive decline that follows aseptic surgical trauma occurs by engaging the innate immune system through nuclear factor-κB-dependent signaling to release cytokines that disrupt blood brain barrier integrity.6–9
Through a permeable blood brain barrier, bone marrow-derived macrophages migrate into the brain parenchyma promoting neuroinflammation that is capable of interfering with processes required for learning and memory.8
Two recent preliminary reports from Hudetz et al.
have drawn attention to an exacerbation of early postoperative cognitive decline, as well as a greater likelihood of the persistence of postoperative cognitive decline in patients with Metabolic Syndrome (MetaS) who undergo either cardiac or non-cardiac surgery, respectively.14
In order to investigate the possible mechanisms, we reverted to a validated animal model of MetaS.
Most of the mouse models of MetaS are created by the extinction or modification of a single gene ± a dietary perturbation. These gene knock-out/knock-in approaches reveal the dependence on that gene, together with the subsequent adaptations, for the resulting loss or gain of function. These approaches may fail to model the human phenotype because they do not reconstitute complex gene-gene interaction. Amongst the several rat models of MetaS, we have chosen one that not only has the appropriate phenotype but also has been generated in a manner that is “lifestyle-related.” Starting in 1995, Koch and Britton applied divergent artificial selection for intrinsic low and high endurance running capacity starting with a founder population of genetically heterogeneous rats. Thirty generations of selection have produced lines of low capacity runners (LCRs) and high capacity runners (HCRs) that differ by 7-fold in treadmill running capacity.16
The LCR rats contain features of the MetaS, including elevated low density lipoproteins, cholesterol, blood pressure, triglycerides, fasting glucose, insulin, C-reactive protein, and visceral adiposity being 100 g heavier than the HCR rats at 12 weeks.17
The LCR rats have a low intrinsic aerobic capacity that results in easy fatigability; this may contribute to their sedentary behavior18
which is thought to be causally related to the development of the MetaS.19
Using this rat model of MetaS, we have explored whether cognitive decline is more severe in the early postoperative period and whether it is likely to be more persistent in the LCR rats that have the features of MetaS; establishment of this an abnormal immune response to elective surgery can set the stage for a thorough exploration of the mechanisms that can contribute to these and other inflammation-mediated postoperative complications.
Materials and Methods
All experimental procedures involving animals were approved by the University of California, San Francisco Institutional Animal Care and Use Committee, and conformed to National Institute of Health guidelines. Animals were handled in strict accordance with good animal practice. LCRs and HCRs were developed by Koch and Britton.16
The LCR rats are maintained as genetically heterogeneous lines by using a rotational mating paradigm that minimizes inbreeding, thereby maintaining genetic complexity and allowing combinations of allelic variants at multiple interacting loci to be enriched by selection pressure.16
Only male rats aged between 4 and 5 months were used. All animals were fed standard rodent chow and water ad libitum, and were housed (2 rats per cage) in sawdust-lined cages in an air-conditioned environment with 12-h light/dark cycles. Animals were tagged and randomly allocated to the surgery or sham group before any procedure was undertaken; researchers were blinded to the group assignment during assessments, prior to the analysis phase. Because of the difference in color and weight between the LCR (brown, approximately 400 g) and HCR (white approximately 300 g) rats, it is not possible for the observer to be blinded for the phenotype, but they were blinded for the treatment group. Forty-eight rats were included with no lethality or exclusion.
Under general anesthesia with 2.1% isoflurane in 0.30 FiO2
, rats underwent an open tibial fracture of the left hind paw with an intramedullary fixation under aseptic surgical conditions as previously described.7–9
The surgical field was maintained as sterile throughout the procedure. Briefly, the left hind paw of surgical animals was meticulously shaved and disinfected with povidone iodine. Following a median incision, a 20 G pin was inserted into the intramedullary canal, the periosteum was stripped, and osteotomy was performed. The wound was irrigated, the skin was sutured, and the animals were allowed to recover spontaneously from the anesthetic. During the procedure, temperature was monitored and maintained at 36.5–37.5°C with the aid of warming pads (Harvard Apparatus, Holliston, MA) and a temperature-controlled light. Buprenorphine (0.1 mg/kg) was given subcutaneously to provide analgesia after the induction of anesthesia and before skin incision. The sham rats were exposed to anesthesia and analgesia as above and had the paw shaved.
Twenty-four rats were used for trace-fear conditioning (TFC) assessed 7 days after surgery and an additional 24 rats were used for Morris Water Maze (MWM) assessed 5 months after surgery.
Trace Fear Conditioning.
TFC was used to assess hippocampal-dependent memory in rodents as previously described.7–9
The clear acrylic TFC chamber (Med Associates Inc., St Albans, VT), with dimensions of 32 cm long, 25 cm wide, and 25 cm high, included a floor constructed of stainless steel bars that was connected to a shock delivery system (Med Associates). The chamber was wiped with a pine-scented cleaner (5% Pine Scented Disinfectant; Midland, Inc., Sweetwater, TN) before and after each session, and training and assessment was performed in a room illuminated with overhead fluorescent bulbs with a ventilation fan providing background noise (65 db). During the training, rats were allowed to explore this context for 3 min, after which they were presented with an auditory cue (75–80 dB, 5 kHz, conditional stimulus for 20 s). The unconditional stimulus, a 2-s foot shock (0.8 mAmp), was administered 20 s after termination of the auditory tone. Rats were removed from the chamber after an additional 30 s. Rats anticipate the shock by “freezing,” which is defined as the absence of all movement except for respirations; this defensive posture reflects learned fear. When placed in the same context on a subsequent occasion, the learned fear is recalled, and the amount of learning and recall is measured by the amount of freezing.
Surgery was performed within 30 min after training. Memory of the learned fear was assessed 7 days later by returning the rat into the same chamber in which it was trained, in the absence of tone and shock. Behavior was recorded by a Polaris digital video recorder (Cohu Electronics Division, Poway, CA). Each animal’s behavior was scored every 5 s during the 5 min observation period and a percentage was calculated using the formula 100×f/n, where f is the number of freezing events per rat and n is the total number of observations per rat.
A standardized measure of general motor function is spontaneous activity. At the conclusion of the contextual fear response, rats were placed in a wooden open field apparatus (45” square; 18” high) in which the floor was subdivided into 25 blocks (9” square) with thin white stripes, and activity was recorded by the Polaris digital video recorder (Cohu Electronics Division, Poway, CA). The number of line crossings and rearings performed in a 5 min epoch was scored by an observer that was unaware of group assignment.22
Morris Water Maze
Five months after surgery, separate cohorts of rats were investigated in the MWM in the following manner.23
Cueing Procedure. A platform (diameter, 10.3 cm) was placed one inch above the level of warm (24°C), opaque water in a circular pool (diameter, 180 cm; depth, 50 cm). The platform was rendered more visible from the surface by marking its edge with bright, yellow tape. For each of the three sessions, the rat was placed in the water and emerged from the water onto the platform within 60 s; if not, the rat was guided towards the raised platform. A different platform site was used for each session. This cueing procedure enables the rat to realize that they can escape the water by locating a platform.
Spatial Reference Memory. The pool is surrounded by visual cues and the platform is submerged below the surface. Daily, two training sessions spaced 7 h apart, were performed; for each session, the rat was released from one of three assigned locations facing the wall of the tank, resulting in one short, one medium, and one long swim per session, in random order. Rats were given 90 s to locate the hidden platform; if the rat failed to locate the hidden platform within the allotted time, the rat was guided to the platform. In either case, the rat was removed from the platform after 15 s. To minimize any bias associated with platform location, equal numbers of rats in each group were assigned one of the four quadrant locations of the platform for the duration of training. The time to reach the platform (latency), path length, swimming speed, and time-integrated distance to the platform were analyzed using an EthoVision video tracking system (Noldus Instruments, Wageningen, Holland) that was set to analyze 10 samples per second. The mean difference of decrease in the escape latency to the submerged platform per session, as well as the escape latency for the final session (session number 10), were analyzed.
Probe Trials. To assess memory retention for the hidden platform location, a probe trial, with the platform removed from the tank, was performed immediately after the last training session. During the 60-s probe trial, the proportion of time spent in the quadrant in which the platform previously resided (“target quadrant”), as well as each of the other quadrants, was determined for a 60-s interval.
Data are presented as a mean ± SD. We tested for normal distribution of the data with the d’Agostino and Pearson omnibus test and the equality of variances with the F-test. For comparisons of the two independent variables (strain [HCR/LCR] and surgery [fracture/sham]), we performed two-way ANOVA; this was followed by four pairwise student t tests with a Bonferroni correction (Bonferroni corrected alpha = 0.05/4 = 0.0125).
For TFC, we performed two-way ANOVA, testing the percentage of freezing time followed by four pairwise t tests (Bonferroni corrected alpha = 0.05/4 = 0.0125).
Regarding the MWM test, based on previous data24
(SD of the percentage of dwell time in target quadrant = 15), we estimated that a sample of 6 rats per group was necessary to find a significant difference between the LCR and the HCR surgery groups, with 80% of power if the difference was 25%. For the spatial reference memory experiments, the escape latency to the submerged platform of the 4 groups in the last session was analyzed with two-way ANOVA followed by four pairwise t
tests (Bonferroni corrected alpha = 0.05/4 = 0.0125). To analyze the mean difference of decrease per session within the 10 sessions, we used a mixed-effects linear regression model25
with a three-way interaction involving session number, intervention (surgery or sham), and strain (LCR/HCR) with all lower order terms as predictors. We performed four additional post hoc
models for pairwise comparisons of groups to determine whether there was a faster improvement in the latency time to platform amongst pairings across sessions; a pairing was deemed significantly different if the interaction term for the session and group was significant in the model (Bonferroni corrected alpha = 0.05/4 or 0.0125). For the probe trial, we compared the proportions of dwell time spent in each of the quadrants for the groups with a two-way ANOVA followed by four pairwise t
tests (Bonferroni corrected alpha = 0.05/4 or 0.0125).
A two-tailed P value < 0.05 was considered statistically significant and data were analyzed using Stata 11.2 software (StataCorp, College Station, TX).
Animals were assessed by open field testing after the contextual fear response on day 7, in order to exclude possible locomotor impairments that could confound the TFC assessment. Spontaneous movement was not different in the LCR versus
HCR rats with or without surgery (fig. 1
). Acute postoperative memory, assessed by the percentage of time spent freezing when the rat was placed in the same context as the pre-operative TFC training, was impaired in both cohorts of postoperative rats on postoperative day 7. Two-way ANOVA revealed a significant interaction between the strain and intervention (P
= 0.02); the degree of memory impairment, as reflected by the percentage freezing, was greater in the postoperative LCR than the postoperative HCR rats (20 ± 4, vs.
33 ± 6, P
= 0.006, fig. 2
In the MWM test, the swimming speed was similar in all groups tested at 5 months (fig. 3A
). Although the strain of the rats presented a significant effect on the weight recorded one week prior to the MWM (P
< 0.001), surgery had no significant effect, suggesting that all groups continued to thrive throughout the course of the study (fig. 3B
LCR surgery rats had significantly less overall improvement with successive tests compared to HCR surgery, as evidenced by a significantly longer time required to locate the submerged platform after the final, 10th session (P
= 0.007 for two-way ANOVA strain effect). Pairwise post hoc t
tests revealed that this strain effect was significant in the surgery rats (LCR surgery vs.
HCR surgery, 34 ± 21 vs.
15 ± 6, P
= 0.001, fig. 4A
). A three-way interaction in the mixed-effects model was significant (P
= 0.010), indicating that the effects of surgery and strain could not be considered in isolation when explaining variation in the rate of change in time to the submerged platform over successive trials. The mean rate of improvement (seconds/per session) was significantly less (P
< 0.001) for the postoperative LCR rats (2 s/session) than for the sham-LCR rats (6 s/session) in a pairwise comparison of groups (fig. 4B
). The difference in improvement per session between postoperative LCR rats and postoperative HCR rats (3 s/session, P
= 0.010) was also significant after applying a Bonferroni correction. The modeled curves reveal that the improvement in the escape latency per
session to locate the hidden platform in the LCR surgery group was smaller than the LCR sham group (fig. 4B
), whereas the improvements of HCR surgery and HCR sham rats were similar (fig. 4C
In the probe trial, two-way ANOVA revealed a significant interaction between strain and intervention (P
= 0.02) for the target quadrant (in which the platform formerly resided); post hoc
analyses revealed that the percentage of time that the postoperative LCR rats spent in the target quadrant was significantly shorter than for each of the other groups (for example—LCR surgery vs.
HCR surgery 24 ± 7 vs.
40 ± 6, P
= 0.007, fig. 5
). Apart from the postoperative LCR group, groups spent significantly more time in the target quadrant than in each of the others, while the postoperative LCR rats spent equivalent time in each of the four quadrants.
Cognitive decline after surgery, whether temporary in the form of Postoperative Delirium or persistent, possibly in the form of Postoperative Cognitive Dysfunction, appears to be associated with long-term adverse outcomes including withdrawal from the workplace, loss of independent living, and an increase in mortality rate.2
Therefore, it is vital to understand the risk factors and pathogenesis that may contribute to these postoperative complications.
In a series of preclinical studies, we had noted that postoperative cognitive decline is due to the engagement of the innate immune system in response to aseptic trauma.6–9
,28 The expression of cognitive decline is due to neuroinflammation that produces a constellation of symptoms, referred to as “sickness behavior,” which is thought to protect the traumatized organism from further injury and to facilitate the healing process.29
This is a short-lived process in which neuroinflammation is curtailed by feedback mechanisms that involve both neural (especially the parasympathetic nervous system), as well as humoral (including oxygenated and nitrogenated lipid) factors.30
Disruption of these precisely regulated processes may contribute to abnormal quantitative and qualitative responses to aseptic trauma.8
The existence of a disease that causes either exacerbation of the acute postoperative decline and/or the persistence of cognitive impairment, validates the animal model as one in which to explore pathogenic mechanisms and, thereby, possible therapeutic interventions.14
MetaS, comprised of insulin resistance (hyperglycemia that can progress to Type 2 diabetes mellitus), visceral obesity, hypertension, and dyslipidemia increases the risk of postoperative complications contributing to a significantly higher mortality rate.14
In a recent review of a case series of coronary artery bypass surgical patients, those suffering with MetaS had a longer postoperative stay although overall outcome was not affected.33
Many of the complications of MetaS (including atherosclerosis) are inflammatory in nature with the pathological adipose stores being the source of pro-inflammatory adipokines.34
It is estimated that more than a quarter of the American adult population has MetaS; its prevalence is probably over-represented in the surgical population, with half of all patients undergoing cardiac surgery being afflicted by this syndrome.32
Recent evidence indicates patients suffering from MetaS may be particularly susceptible to postoperative cognitive decline.14
Starting in 1995, Koch and Britton applied divergent artificial selection for intrinsic low and high endurance running capacity starting with a founder population of genetically heterogeneous rats. Thirty generations of selection have produced lines of LCRs and HCRs that differ 7-fold in treadmill running capacity16
; the LCR rats contain features of the MetaS, including elevated low density lipoproteins, cholesterol, blood pressure, triglycerides, fasting glucose, insulin, C-reactive protein, and visceral adiposity being approximately100 g heavier than the HCR rats at 12 weeks.18
The LCR-HCR rats represent polygenic substrate that can be used for exploring medically-relevant features, such as postoperative cognitive decline, that may be associated with the MetaS.14
The major genetic hypothesis is that contrasting alleles, causative of the trait differences, have been enriched or fixed differentially between the lines.
In the behavioral paradigms that we have used to interrogate cognitive domains of learning and memory, non-surgical LCR and HCR rats did not differ in either TFC or in the MWM. For the MWM experiments, we applied a mixed-effects model that took into account the strain, the type of surgery and the repeated measures. This model allowed us to gain power and to capture the rate of learning of the rats. Other tests, which are perhaps more “subtle” than the ones that we employed, do show a behavioral phenotype in non-surgical rats.35
Postoperatively, the LCR rats exhibit both an early exacerbation of memory decline as well as a persistent abnormality in both learning and memory. Non-cognitive factors that could have contributed to the behavioral assessments, such as altered spontaneous movement in TFC or the swim speed in MWM, are not different between the LCR and HCR rats.
It is noteworthy that the HCR rats may not represent “normal” rats and are more akin to organisms that are performing at a higher level of efficiency for energy expenditure compared to “normal” rats. As eight strains of rats formed the original cross-breeding reagents, it is not possible to ascertain which strain of rat is the normal one to be used as a control. Therefore, we can only comment that postoperatively, the LCR rats diverge from the HCR rats and are not able to opine whether this difference relates to deterioration in function from normal for the LCR rats and/or an improvement from normal for the HCR rats. However, it is noteworthy that the HCR rats do not appear to recover from acute postoperative memory decline faster than that noted in our earlier study involving male Sprague Dawley rats in a Y-maze test.6
Our findings set the stage for a thorough exploration of the reasons why MetaS induces differences in postoperative cognitive function. Recently, we reported that when the cholinergic neural feedback mechanism for surgery-induced neuroinflammation is disrupted in wild-type mice, an exacerbation of postoperative cognitive decline follows.8
It is noteworthy that patients with MetaS have a disorder in cholinergic function.36
Further exploration in these rat reagents may reveal the mechanism for this abnormality in cholinergic function and, thereby, reveal targets for interventions.
While we have concentrated on the reasons why the brain is a target for postoperative inflammatory complications, it will be important to consider whether other postoperative complications with a putative inflammatory basis, including conversion from acute to chronic postoperative pain and thrombo-embolic complications, may have a similar propensity to occur in MetaS possibly on the basis of dysregulation of mechanisms involved in the initiation and/or resolution of inflammation.
The authors acknowledge the insights on linear mixed effects modeling provided by Pedro Gambus, M.D., Visiting Professor, Department of Anesthesia and Perioperative Care, University of California, San Francisco, San Francisco, California.
1. Franco K, Litaker D, Locala J, Bronson D. The cost of delirium in the surgical patient. Psychosomatics. 2001;42:68–73
2. Monk TG, Weldon BC, Garvan CW, Dede DE, van der Aa MT, Heilman KM, Gravenstein JS. Predictors of cognitive dysfunction after major noncardiac surgery. ANESTHESIOLOGY. 2008;108:18–30
3. Avidan MS, Evers AS. Review of clinical evidence for persistent cognitive decline or incident dementia attributable to surgery or general anesthesia. J Alzheimers Dis. 2011;24:201–16
4. Ehlenbach WJ, Hough CL, Crane PK, Haneuse SJ, Carson SS, Curtis JR, Larson EB. Association between acute care and critical illness hospitalization and cognitive function in older adults. JAMA. 2010;303:763–70
5. Selnes OA, Gottesman RF, Grega MA, Baumgartner WA, Zeger SL, McKhann GM. Cognitive and neurologic outcomes after coronary-artery bypass surgery. N Engl J Med. 2012;366:250–7
6. Wan Y, Xu J, Ma D, Zeng Y, Cibelli M, Maze M. Postoperative impairment of cognitive function in rats: A possible role for cytokine-mediated inflammation in the hippocampus. ANESTHESIOLOGY. 2007;106:436–43
7. Cibelli M, Fidalgo AR, Terrando N, Ma D, Monaco C, Feldmann M, Takata M, Lever IJ, Nanchahal J, Fanselow MS, Maze M. Role of interleukin-1beta in postoperative cognitive dysfunction. Ann Neurol. 2010;68:360–8
8. Terrando N, Eriksson LI, Ryu JK, Yang T, Monaco C, Feldmann M, Jonsson Fagerlund M, Charo IF, Akassoglou K, Maze M. Resolving postoperative neuroinflammation and cognitive decline. Ann Neurol. 2011;70:986–95
9. Terrando N, Monaco C, Ma D, Foxwell BM, Feldmann M, Maze M. Tumor necrosis factor-alpha triggers a cytokine cascade yielding postoperative cognitive decline. Proc Natl Acad Sci USA. 2010;107:20518–22
10. Moller JT. Postoperative cognitive decline: The extent of the problem. Eur J Anaesthesiol. 1998;15:765–7
11. Fidalgo AR, Cibelli M, White JP, Nagy I, Noormohamed F, Benzonana L, Maze M, Ma D. Peripheral orthopaedic surgery down-regulates hippocampal brain-derived neurotrophic factor and impairs remote memory in mouse. Neuroscience. 2011;190:194–9
12. Rosczyk HA, Sparkman NL, Johnson RW. Neuroinflammation and cognitive function in aged mice following minor surgery. Exp Gerontol. 2008;43:840–6
13. Degos V, Vacas S, Han Z, van Rooijen N, Gressens P, Su H, Young WL, Maze M. Depletion of bone marrow-derived macrophages perturbs the innate immune response to surgery and reduces postoperative memory dysfunction. ANESTHESIOLOGY. 2013;118:527–36
14. Hudetz JA, Patterson KM, Amole O, Riley AV, Pagel PS. Postoperative cognitive dysfunction after noncardiac surgery: Effects of metabolic syndrome. J Anesth. 2011;25:337–44
15. Hudetz JA, Patterson KM, Iqbal Z, Gandhi SD, Pagel PS. Metabolic syndrome exacerbates short-term postoperative cognitive dysfunction in patients undergoing cardiac surgery: Results of a pilot study. J Cardiothorac Vasc Anesth. 2011;25:282–7
16. Koch LG, Britton SL. Artificial selection for intrinsic aerobic endurance running capacity in rats. Physiol Genomics. 2001;5:45–52
17. Noland RC, Thyfault JP, Henes ST, Whitfield BR, Woodlief TL, Evans JR, Lust JA, Britton SL, Koch LG, Dudek RW, Dohm GL, Cortright RN, Lust RM. Artificial selection for high-capacity endurance running is protective against high-fat diet-induced insulin resistance. Am J Physiol Endocrinol Metab. 2007;293:E31–41
18. Novak CM, Escande C, Burghardt PR, Zhang M, Barbosa MT, Chini EN, Britton SL, Koch LG, Akil H, Levine JA. Spontaneous activity, economy of activity, and resistance to diet-induced obesity in rats bred for high intrinsic aerobic capacity. Horm Behav. 2010;58:355–67
19. Sisson SB, Camhi SM, Church TS, Martin CK, Tudor-Locke C, Bouchard C, Earnest CP, Smith SR, Newton RL Jr, Rankinen T, Katzmarzyk PT. Leisure time sedentary behavior, occupational/domestic physical activity, and metabolic syndrome in U.S. men and women. Metab Syndr Relat Disord. 2009;7:529–36
20. Church T. The low-fitness phenotype as a risk factor: More than just being sedentary? Obesity (Silver Spring). 2009;17 Suppl 3:S39–42
21. Carlborg O, Jacobsson L, Ahgren P, Siegel P, Andersson L. Epistasis and the release of genetic variation during long-term selection. Nat Genet. 2006;38:418–20
22. Crawley JN What’s wrong with my mouse? Behavioral phenotyping of transgenic and knockout mice. 2000 New York Wiley-Liss
23. Shih J, May LD, Gonzalez HE, Lee EW, Alvi RS, Sall JW, Rau V, Bickler PE, Lalchandani GR, Yusupova M, Woodward E, Kang H, Wilk AJ, Carlston CM, Mendoza MV, Guggenheim JN, Schaefer M, Rowe AM, Stratmann G. Delayed environmental enrichment reverses sevoflurane-induced memory impairment in rats. ANESTHESIOLOGY. 2012;116:586–602
24. McEchron MD, Cheng AY, Gilmartin MR. Trace fear conditioning is reduced in the aging rat. Neurobiol Learn Mem. 2004;82:71–6
25. Graubard BI, Korn EL. Modelling the sampling design in the analysis of health surveys. Stat Methods Med Res. 1996;5:263–81
26. Steinmetz J, Christensen KB, Lund T, Lohse N, Rasmussen LSISPOCD Group. . Long-term consequences of postoperative cognitive dysfunction. ANESTHESIOLOGY. 2009;110:548–55
27. Vizcaychipi MP, Xu L, Barreto GE, Ma D, Maze M, Giffard RG. Heat shock protein 72 overexpression prevents early postoperative memory decline after orthopedic surgery under general anesthesia in mice. ANESTHESIOLOGY. 2011;114:891–900
28. Fidalgo AR, Cibelli M, White JP, Nagy I, Maze M, Ma D. Systemic inflammation enhances surgery-induced cognitive dysfunction in mice. Neurosci Lett. 2011;498:63–6
29. Dantzer R, O’Connor JC, Freund GG, Johnson RW, Kelley KW. From inflammation to sickness and depression: When the immune system subjugates the brain. Nat Rev Neurosci. 2008;9:46–56
30. Tracey KJ. Fat meets the cholinergic antiinflammatory pathway. J Exp Med. 2005;202:1017–21
31. Serhan CN, Chiang N, Van Dyke TE. Resolving inflammation: Dual anti-inflammatory and pro-resolution lipid mediators. Nat Rev Immunol. 2008;8:349–61
32. Kajimoto K, Miyauchi K, Kasai T, Yanagisawa N, Yamamoto T, Kikuchi K, Nakatomi T, Iwamura H, Daida H, Amano A. Metabolic syndrome is an independent risk factor for stroke and acute renal failure after coronary artery bypass grafting. J Thorac Cardiovasc Surg. 2009;137:658–63
33. Swart MJ, De Jager WH, Kemp JT, Nel PJ, Van Staden SL, Joubert G. The effect of the metabolic syndrome on the risk and outcome of coronary artery bypass graft surgery. Cardiovasc J Afr. 2012;23:400–4
34. Buechler C, Wanninger J, Neumeier M. Adiponectin receptor binding proteins–recent advances in elucidating adiponectin signalling pathways. FEBS Lett. 2010;584:4280–6
35. Wikgren J, Mertikas GG, Raussi P, Tirkkonen R, Äyräväinen L, Pelto-Huikko M, Koch LG, Britton SL, Kainulainen H. Selective breeding for endurance running capacity affects cognitive but not motor learning in rats. Physiol Behav. 2012;106:95–100
36. Valle AM, Radic Z, Rana BK, Mahboubi V, Wessel J, Shih PA, Rao F, O’Connor DT, Taylor P. Naturally occurring variations in the human cholinesterase genes: Heritability and association with cardiovascular and metabolic traits. J Pharmacol Exp Ther. 2011;338:125–33
37. Soares-Miranda L, Sandercock G, Vale S, Santos R, Abreu S, Moreira C, Mota J. Metabolic syndrome, physical activity and cardiac autonomic function. Diabetes Metab Res Rev. 2012;28:363–9
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