scieee AI-readable full text Open interactive document viewer

Impaired glucose metabolism reduces the neuroprotective action of adipocytokines in cognitively normal older adults with insulin resistance

López Vilaret, Karel Mauricio; Cantero Lorente, José Luis; Fernández Álvarez, Marina; Calero Lara, Miguel; Calero Rueda, Olga; Lindín Novo, Mónica; Zurrón Ocio, Montserrat; Díaz Fernández, Fernando; Atienza, Mercedes

Abstract

Evidence suggests that aging-related dysfunctions of adipose tissue and metabolic disturbances increase the risk of diabetes and metabolic syndrome (MtbS), eventually leading to cognitive impairment and dementia. However, the neuroprotective role of adipocytokines in this process has not been specifically investigated. The present study aims to identify metabolic alterations that may prevent adipocytokines from exerting their neuroprotective action in normal ageing. We hypothesize that neuroprotection may occur under insulin resistance (IR) conditions as long as there are no other metabolic alterations that indirectly impair the action of adipocytokines, such as hyperglycemia. This hypothesis was tested in 239 cognitively normal older adults (149 females) aged 52 to 87 years (67.4 ± 5.9 yr). We assessed whether the homeostasis model assessment-estimated insulin resistance (HOMA-IR) and the presence of different components of MtbS moderated the association of plasma adipocytokines (i.e., adiponectin, leptin and the adiponectin to leptin [Ad/L] ratio) with cognitive functioning and cortical thickness. The results showed that HOMA-IR, circulating triglyceride and glucose levels moderated the neuroprotective effect of adipocytokines. In particular, elevated triglyceride levels reduced the beneficial effect of Ad/L ratio on cognitive functioning in insulin-sensitive individuals; whereas under high IR conditions, it was elevated glucose levels that weakened the association of the Ad/L ratio with cognitive functioning and with cortical thickness of prefrontal regions. Taken together, these findings suggest that the neuroprotective action of adipocytokines is conditioned not only by whether cognitively normal older adults are insulin-sensitive or not, but also by the circulating levels of triglycerides and glucose, respectively

Full text

www.aging-us.com 23936 AGING INTRODUCTION Obesity is a growing worldwide health problem that promotes cellular senescence and accelerates ageing [1]. Besides affecting physical status, obesity impacts cognitive functioning and mental health across the lifespan, leading to functional decline and reduced quality of life [2], an association that becomes mainly evident in people aged over 64 years [3]. Obesity and ageing, in addition to sharing an abnormal fat accumulation in visceral adipose depots and ectopic tissues (i.e., lipotoxicity) and progressive white adipose tissue dysfunction, induce a chronic low-grade www.aging-us.com AGING 2021, Vol. 13, No. 21 Research Paper Impaired glucose metabolism reduces the neuroprotective action of adipocytokines in cognitively normal older adults with insulin resistance Karel M. Lopez-Vilaret1, Jose L. Cantero1,2, Marina Fernandez-Alvarez1,2, Miguel Calero2,3, Olga Calero2,3, Mónica Lindín4, Montserrat Zurrón4, Fernando Díaz4, Mercedes Atienza1,2 1Laboratory of Functional Neuroscience, Universidad Pablo de Olavide, Seville, Spain 2CIBERNED, Network Center for Biomedical Research in Neurodegenerative Diseases, Madrid, Spain 3Chronic Disease Programme, Instituto de Salud Carlos III, Madrid, Spain 4Cognitive Neuroscience Laboratory, Universidade de Santiago de Compostela, Santiago de Compostela, Spain Correspondence to: Mercedes Atienza; email: [email protected] Keywords: adiponectin, leptin, cognitive function, cortical thickness, metabolism Received: July 12, 2021 Accepted: October 26, 2021 Published: November 3, 2021 Copyright: © 2021 Lopez-Vilaret et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ABSTRACT Evidence suggests that aging-related dysfunctions of adipose tissue and metabolic disturbances increase the risk of diabetes and metabolic syndrome (MtbS), eventually leading to cognitive impairment and dementia. However, the neuroprotective role of adipocytokines in this process has not been specifically investigated. The present study aims to identify metabolic alterations that may prevent adipocytokines from exerting their neuroprotective action in normal ageing. We hypothesize that neuroprotection may occur under insulin resistance (IR) conditions as long as there are no other metabolic alterations that indirectly impair the action of adipocytokines, such as hyperglycemia. This hypothesis was tested in 239 cognitively normal older adults (149 females) aged 52 to 87 years (67.4 ± 5.9 yr). We assessed whether the homeostasis model assessmentestimated insulin resistance (HOMA-IR) and the presence of different components of MtbS moderated the association of plasma adipocytokines (i.e., adiponectin, leptin and the adiponectin to leptin [Ad/L] ratio) with cognitive functioning and cortical thickness. The results showed that HOMA-IR, circulating triglyceride and glucose levels moderated the neuroprotective effect of adipocytokines. In particular, elevated triglyceride levels reduced the beneficial effect of Ad/L ratio on cognitive functioning in insulin-sensitive individuals; whereas under high IR conditions, it was elevated glucose levels that weakened the association of the Ad/L ratio with cognitive functioning and with cortical thickness of prefrontal regions. Taken together, these findings suggest that the neuroprotective action of adipocytokines is conditioned not only by whether cognitively normal older adults are insulin-sensitive or not, but also by the circulating levels of triglycerides and glucose, respectively. www.aging-us.com 23937 AGING inflammatory response that is partially responsible for decreased insulin sensitivity [4, 5]. The increased adiposity associated with obesity and the redistribution of adipose tissue that occurs during ageing are accompanied by decreased adiponectin concentrations and increased leptin levels, which may reflect leptin resistance [6]. These changes in circulating adipocytokine levels also contribute to decreased insulin sensitivity by reducing their ability to activate different insulin signaling pathways [7]. Insulin, adiponectin and leptin have receptors distributed throughout the brain to support their neuroprotective function [8]. Insulin fulfills this role by regulating glutamate and GABA levels, promoting glycogen storage in astrocytes, and inhibiting neuronal necrosis and apoptosis [9, 10]. Although the mechanisms responsible for the neuroprotective action of adiponectin and leptin remain to be elucidated, both have been implicated in improving cognitive function in normal ageing, and in reducing the incidence of cerebrovascular diseases, cognitive decline and dementia [11–20]. However, a few studies have either reported results in the opposite direction [21–24] or have found no relationship [25–27]. One possible explanation for these inconsistencies may be the study of adiponectin and leptin in isolation instead of using the balance between both of them (i.e., the Ad/L ratio), which is considered a surrogate biomarker of adipose tissue functionality [28, 29]. This hypothesis is supported by a stronger association between the Ad/L ratio and IR compared to that shown by adiponectin or leptin alone [30], and by studies showing that the lower the Ad/L ratio the higher the risk of metabolic disturbances [31] and the greater the chronic low-grade inflammation [32]. To our knowledge, only a couple of studies to date have reported an association between the Ad/L ratio and cognitive functioning in dementia-free older adults, but results again went in opposite directions [13, 24]. The lack of consensus regarding the relationship between circulating adipocytokines and cognitive functioning in ageing may also result from the complex communication that the adipose tissue maintains with the brain and other organs to facilitate the control of insulin and glucose [33]. Although fully functional adipose tissue is required for the maintenance of insulin sensitivity, the presence of systemic IR may reflect different degrees of dysfunction of the adipose tissue and other tissues involved in insulin signaling pathways, depending on the level of chronic low-grade inflammation and/or the concurrent presence of hyperglycemia, hypertriglyceridemia, and other metabolic disturbances typically associated with obesity, type-2 diabetes, and MetS. Therefore, to understand the relationship between adipocytokines, brain integrity and cognitive functioning, it may be necessary to consider the potential metabolic deregulations that condition this association. We hypothesize that adipocytokines may continue to exert their neuroprotective effect under conditions of elevated HOMA-IR. However, neuroprotection may be severely diminished when glucose metabolism is deregulated, as this would indicate that adipose tissue function [34] and insulin responsiveness [35, 36] are increasingly impaired. Chronic low-grade inflammation, IR, and hyperglycemia induce oxidative stress [37], which in turn has been linked to grey and white matter atrophy [38–40] and cognitive impairment [41]. Given that the prefrontal cortex becomes particularly vulnerable to the ageing process [42] and to oxidative stress during ageing [43], we also expected that the moderating influence of IR and metabolic alterations on the neuroprotective effect of adipocytokines would be manifested mainly in the prefrontal lobe, leading to changes in cortical thickness. RESULTS Moderating role of HOMA-IR and MetS components on the adipocytokine-cognition relationship The hypothesis about the moderating effect of HOMA- IR and different MetS components on the relationship between adipocytokines and cognitive functioning in ageing was tested in a sample of 239 cognitively unimpaired older adults. Demographic, anthropometric and metabolic measures are shown in Table 1, for the total sample and stratified by sex. To test the above-mentioned hypothesis, we applied the frequentist approach in R [44] as well as the Bayesian approach in JASP [45]. We built 30 models as a function of the different adipocytokines (i.e., adiponectin, leptin and Ad/L ratio), of the different MetS components (i.e., abdominal obesity, hypertension, hyperglycemia, hypertriglyceridemia, and low HDL), and according to whether only nuisance predictors were included (i.e., main effects and two-way interactions derived from the interaction between adipocytokines, HOMA-IR, and MetS component) or whether they also contained the predictor of interest (i.e., the interaction between adipocytokines, HOMA- IR, and MetS component). After checking that assumptions were not violated for any statistical approach, that there were no influential cases as indicated by the residuals vs. Leverage plot, and that there were no multicollinearity problems (i.e., variable www.aging-us.com 23938 AGING Table 1. Demographic, anthropometric and metabolic measures. Total sample (N = 239) Females (n = 149) Males (n = 90) Age (years) 67.4 ± 5.9 66.7 ± 6.2 68.5 ± 5.1 Education (years) 10.2 ± 5.2 10.3 ± 5.4 10.0 ± 4.9 BMI (kg/m2) 27.5 ± 3.8 27.3 ± 3.8 27.9 ± 3.7 Waist circumference (cm) 91.5 ± 11.4 89.3 ± 11.2 95.0 ± 10.8 Heart rate (ppm) 66.2 ± 9.9 67.1 ± 9.2 64.7 ± 11.0 CRF (ml min-1 Kg-1) 8.1 ± 2.2 7.1 ± 2.0 9.5 ± 1.8 Systolic blood pressure (mmHg) 133.3 ± 20.2 132.1 ± 19.6 135.4 ± 21.1 HDL (mmol/l) 1.6 ± 0.4 1.6 ± 0.4 1.5 ± 0.5 Triglycerides (mmol/l) 1.3 ± 0.7 1.3 ± 0.7 1.3 ± 0.6 Glucose (mmol/l) 5.7 ± 0.8 5.6 ± 0.7 5.7 ± 1.0 Insulin (pmol/l) 56.0 ± 31.0 53.3 ± 28.4 60.3 ± 34.6 HOMA-IR 2.4 ± 1.5 2.3 ± 1.4 2.6 ± 1.6 Adiponectin (ng/ml) 6.6 ± 2.2 6.0 ± 2.1 7.6 ± 2.0 Leptin (ng/ml) 20.6 ± 16.3 25.2 ± 15.9 12.9 ± 13.9 Ad/L ratio 0.62 ± 0.66 0.37 ± 0.34 1.03 ± 0.83 Metabolic syndrome components Abdominal obesity (no/yes) 123 / 116 86 / 63 37 / 53 Hypertension (no/yes) 86 / 153 55 / 94 31 / 59 Hyperglycemia (no/yes) 111 / 128 67 / 82 44 / 46 Hypertriglyceridemia (no/yes) 159 / 80 98 / 51 61/ 29 Low HDL (no/yes) 175 / 64 111 / 38 64 / 26 Metabolic syndrome (no/yes) 134 / 105 85 / 64 49 / 41 All continuous variables are expressed as mean ± SD. CRF, cardiorespiratory fitness. inflation factor < 5), we proceeded to determine if the contribution of the three-way interaction was over and above the contribution from the nuisance predictors. The MetS component of interest in each model was included as categorical factor in the three-way interaction term, while all other MetS components (continuous variables) were treated as covariates together with cardiorespiratory fitness (CRF), body mass index (BMI), age, sex, years of education, adiponectin or leptin when one of them was included in the three-way interaction term, as well as the two-way interaction terms (i.e., adipocytokine × HOMA-IR; adipocytokine × MetS component; HOMA-IR × MetS component). The ANOVAs applied to compare the null and experimental models revealed a significant three-way interaction of the Ad/L ratio and HOMA-IR with the triglyceride (F1,222 = 9.1, p = 0.003, δ = 2.44, CI0.95 [0.32 4.56]) and glucose component of MetS (F1,222 = 8.9, p = 0.003, δ = -2.95, CI0.95 [-4.83 -1.09]). In the first case, the alternative hypothesis was approximately 18 times more likely than the null hypothesis (BF10 = 17.65), and in the second case 11 times more likely (BF10 = 11.11). Tables 2, 3 show the estimates, t-values and p-values for each parameter of these models. The Ad/L ratio was positively associated with cognitive functioning for decreased levels of HOMA-IR (i.e., at 1 SD below the mean) if triglyceride levels were normal, and for elevated levels of HOMA-IR (i.e., at 1 SD above the mean) if glucose levels were normal. These results are illustrated in Figure 1A, 1B, respectively. The moderating effect of Ad/L ratio, HOMA-IR and triglycerides could be attributed to leptin, because when this adipocytokine was included in the interaction term, the three-way interaction was significant (F2,221 = 4.91, p = 0.027), although the strength of evidence was smaller than that of the Ad/L ratio (BF10 = 3.13) and the size effect was not significant (δ = -0.90, CI0.95 [-2.25 0.44]). None of the remaining three-way interactions were significant. In all cases, the Bayesian inference revealed absence of evidence (0.34 < BF10 < 1.48). Moderating role of HOMA-IR and fasting blood glucose/triglycerides on the relationship between Ad/L ratio and cortical thickness Having determined that the association between the Ad/L ratio and cognitive functioning is moderated by www.aging-us.com 23939 AGING Table 2. Three-way interaction between HOMA-IR, Ad/L ratio and triglycerides. Predictors Model 1 Model 2 Estimate t p Estimate t p Intercept 2.62 2.20 0.029 2.46 2.10 0.037 HOMA-IR 0.02 0.20 0.844 -0.01 -0.09 0.928 Ad/L ratio 0.01 0.10 0.919 -0.07 -0.73 0.468 Triglycerides -0.14 -1.08 0.280 -0.13 -1.02 0.310 Glucose -0.002 -0.46 0.646 - 0.002 -0.46 0.650 Systolic blood pressure 0.003 0.94 0.347 0.004 1.15 0.250 HDL -0.01 -1.84 0.067 -0.01 -1.68 0.095 Waist circumference 0.01 0.79 0.431 0.01 1.12 0.266 Cardiorespiratory fitness 0.003 0.07 0.941 0.01 0.24 0.808 Body mass index -0.02 -0.86 0.389 -0.04 -1.30 0.196 Age -0.05 -4.52 <.001 -0.05 -4.56 <.001 Sex 0.32 2.05 0.042 0.32 2.05 0.042 Education (years) 0.07 5.81 <.001 0.07 5.88 <.001 HOMA-IR*Ad/L -0.04 -0.43 0.671 -0.32 -2.47 0.014 HOMA-IR*Triglycerides 0.01 0.09 0.925 0.08 0.66 0.512 Ad/L*Triglycerides -0.02 -0.15 0.878 0.03 0.27 0.785 HOMA-IR*Ad/L*Triglycerides 0.53 3.02 0.003 Observations 239 239 Min-max residuals -2.81 4.59 -2.54 4.49 R2 0.28 0.31 Adjusted R2 0.24 0.26 Residual Std. Error 0.87 0.86 F Statistic 5.90 6.30 HOMA-IR and by glucose and triglyceride levels, we wanted to assess whether these predictors also moderated the association of Ad/L with cortical thickness. The ANCOVA based on frequentist inference revealed that the interaction between HOMA-IR and serum glucose levels moderated the association of the Ad/L ratio with cortical thickness in the left lateral orbitofrontal cortex (R2 = 0.04, Fmax = 97.76, pcluster-corrected = 0.03, δ = 2.15 CI0.95 [0.49 3.80]) and the right rostral anterior cingulate cortex (R2 = 0.06, Fmax = 7.02, pcluster-corrected = 0.04, δ = 3.66 CI0.95 [2.03 5.30]). Indeed, the evidence was very strong in the left lateral orbitofrontal cortex (BF10 = 69.37) and extreme in the right anterior cingulate (BF10 = 178.12). These results are illustrated in Figure 2A. The positive association of the Ad/L ratio with cortical thickness in the right rostral anterior cingulate cortex was evident for elevated HOMA-IR values as long as participants were normoglycemic (Figure 2B). The assessment of the three-way interaction between Ad/L, HOMA-IR and triglycerides on cortical thickness did not yield significant results. Relationship between adipocytokines-related changes in cortical thickness and cognitive functioning The Ad/L ratio moderated the relationship between thickness in the right rostral anterior cingulate cortex and cognitive functioning. The ANOVA applied to compare the interactive and additive model showed a significant two-way interaction (R2 = 0.32, F2,224 = 8.16, p = 0.005). In particular, cortical thickness in the right anterior cingulate cortex was more positively associated with cognition at 1 SD above the mean of the Ad/L ratio than at 1 SD below the mean (ρ = 0.72 CI0.95 [0.18 1.24]). The Bayesian analysis provided moderate evidence for the alternative hypothesis (BF10 = 6.43). www.aging-us.com 23940 AGING Table 3. Three-way interaction between HOMA-IR, Ad/L ratio and fasting glucose. Predictors Model 1 Model 2 Estimate t p Estimate t p Intercept 2.43 2.20 0.029 2.29 2.11 0.036 HOMA-IR -0.10 -0.81 0.421 -0.19 -1.55 0.122 Ad/L ratio -0.003 -0.02 0.981 0.24 1.71 0.090 Glucose 0.24 1.89 0.061 0.30 2.39 0.018 Triglycerides -0.001 -0.74 0.459 -0.001 -0.86 0.391 Systolic blood pressure 0.003 1.07 0.284 0.003 0.99 0.323 HDL -0.01 -2.17 0.031 -0.01 -1.93 0.055 Waist circumference 0.01 0.77 0.441 0.01 0.85 0.398 Cardiorespiratory fitness 0.005 0.16 0.877 0.01 0.19 0.850 Body mass index -0.03 -0.99 0.325 -0.02 -0.92 0.359 Age -0.05 -4.60 <.001 -0.05 -4.75 <.001 Sex 0.35 2.26 0.025 0.35 2.26 0.025 Education (years) 0.07 5.87 <.001 0.07 5.98 <.001 HOMA-IR*Ad/L -0.04 -0.34 0.735 0.44 2.32 0.021 HOMA-IR*Glucose 0.09 0.63 0.527 0.14 0.97 0.334 Ad/L*Glucose -0.004 -0.03 0.978 -0.21 -1.40 0.163 HOMA-IR*Ad/L*Glucose -0.67 -2.99 0.003 Observations 239 239 Min-max residuals -2.93 4.54 -2.57 4.50 R2 0.29 0.32 Adjusted R2 0.24 0.27 Residual Std. Error 0.87 0.85 F Statistic 6.15 6.53 DISCUSSION The main objective of this study was to determine whether IR assessed by HOMA-IR together with other metabolic alterations associated with obesity, type-2 diabetes and MetS moderated the hypothesized neuroprotective action of adipocytokines in cognitively normal older adults. Our results suggest that the neuroprotective effect of adipocytokines is conditioned not only by the severity of IR but also by glucose and triglyceride metabolism. In particular, the results indicated that the Ad/L ratio is associated with better cognitive functioning and increased thickness of regions in the prefrontal cortex under conditions of elevated HOMA-IR, provided that glucose metabolism is under control. Although insulinsensitive participants also benefited from adipocytokines at the cognitive level, this effect disappeared in those with hypertriglyceridemia. Hypertriglyceridemia reduces the neuroprotective action of the Ad/L ratio under high insulin sensitivity conditions Among the main causes of elevated triglycerides in individuals with insulin sensitivity are obesity and adipose tissue dysfunction through mechanisms including chronic low-grade inflammation, increased lipolysis and altered adipocytokine production [33]. Our results suggest that hypertriglyceridemia reduces the cognitive benefit of adipocytokines in older adults without cognitive impairment and with high insulin sensitivity. Given that hypertriglyceridemia is recognized as an independent risk factor for atherosclerotic cardiovascular disease [46], one could think of vascular damage as a possible cause of the reduced beneficial effect of adipocytokines on cognitive functioning in ageing. Contrary to this hypothesis, fasting triglyceride levels were found to be inversely associated with www.aging-us.com 23941 AGING executive function in non-demented community dwelling older adults, even after controlling for vascular risk factors such as LDL cholesterol, total cholesterol, ApoE4 status and cerebrovascular injury revealed by white matter microstructure damage [47]. Alternatively, the undesirable effect of triglycerides on the positive association between the Ad/L ratio and cognition could be due to their ability to penetrate the blood-brain barrier (BBB) and induce central leptin and insulin receptor resistance [48], two phenomena increasingly associated with ageing-related cognitive decline and Alzheimer’s disease (AD) [10, 49, 50]. There is also the possibility that elevated triglyceride levels are suggestive of increased chronic low-grade inflammation [51], which in turn can cause damage of the BBB [52] and neuroinflammation that ultimately leads to impaired cognitive function [53]. As neuroinflammation can occur with varying degrees of severity [54], it is possible that the associated functional damage may not end in neuronal death due to the neuroprotective action of insulin and adipocytokines. Although highly speculative, it could explain the lack of relationship between triglyceride levels and cortical thickness in the present study. Hyperglycemia reduces the neuroprotective action of the Ad/L ratio under IR conditions During the progression of IR, insulin fails to suppress hepatic glucose production, but paradoxically accelerates lipid synthesis, leading to hyperglycemia and hypertriglyceridemia [55]. However, a subgroup of our participants showed elevated HOMA-IR together with normal blood glucose levels. In these individuals, insulin could inhibit hepatic gluconeogenesis by acting Figure 1. Moderating role of HOMA-IR, triglyceridemia and glycemia in the association between the Ad/L ratio and cognition. Association of the Ad/L ratio with cognition at 1 SD below and above the mean of HOMA-IR for participants showing normal levels of triglycerides (left panel) and hypertriglyceridemia (right panel) (A) or normal blood glucose levels (left panel) and hyperglycemia (right panel) (B) after adjustment of the remaining MtbS components, CRF, BMI, age, sex and years of education. The shaded areas reflect the confidence intervals (95%) for the fitted values. www.aging-us.com 23942 AGING directly in the liver or indirectly via the pancreas, adipose tissue and/or the brain [56]. Therefore, as long as any of these insulin-signaling pathways remain unaltered, glucose levels will remain low. Our results suggest that the balance between adiponectin and leptin may exert its neuroprotective action also under IR conditions as long as blood glucose levels remain normal. However, when glucose metabolism is disturbed, by the progression of IR among other factors, the neuroprotective effect of adipocytokines disappears, likely due to decreased glucose uptake by astrocytes, reduced energy supply to neurons, and/or increased neuroinflammation [57]. Our findings reinforce evidence linking diabetes and prediabetes with cognitive impairment [58–61], and go a step further by suggesting that this association may be mediated by the beneficial action of adipocytokines on the structural integrity of the prefrontal cortex, in particular the rostral anterior cingulate cortex (rACC) in the right hemisphere. This finding has important implications for cognitive ageing. Firstly, because the rACC is densely connected to other areas of the prefrontal cortex, Figure 2. Moderating role of HOMA-IR and glycemia in the association between the Ad/L ratio and cortical thickness. (A) Results of the three-way interaction (Ad/L ratio × HOMA-IR × glycemia) after adjustment for the remaining MtbS components, CRF, BMI, age, sex and years of education. Significant t statistic values were projected into the inflated cortical surfaces (L: left; R: right). (B) Scatterplot to represent the post-hoc of the three-way interaction effect shown in panel (A). It shows the association of the Ad/L ratio with cortical thickness in the rostral anterior cingulate (rACC) of the right hemisphere at 1 SD below and above the mean of HOMA-IR for participants showing normal blood glucose levels (left panel) and hyperglycemia (right panel). The shaded areas reflect the confidence intervals (95%) for the fitted values. www.aging-us.com 23943 AGING making it suitable for carrying information across functional brain modules associated with social behavior, decision making, learning, attention and working memory [62]; and secondly, because ageing has shown to greatly affect the structural [63] and functional integrity of the rACC [64], which likely explains its central role in age-related cognitive decline [65]. On the basis of these results, we hypothesize that preserving functionality of adipose tissue could contribute to the success of cognitive ageing through the neuroprotective action of its adipocytokines on the rACC. Modifiable lifestyle choices, such as increasing physical activity, eating healthy food, improving sleep quality, or decreasing stress appear to be the best approaches to prevent adipose tissue dysfunction [53]. However, once the adipose tissue becomes highly dysfunctional, therapeutic interventions with leptin and adiponectin may be more effective. Leptin replacement therapy has shown to have beneficial effects on the brain of patients with congenital leptin deficiency due to a mutation in the leptin gene. Its administration led to an increase in grey matter concentration in the ACC [66]. These effects were maintained for 3 years of supplementation, but reversed after a few weeks of withdrawal [67]. Leptin deficiency is also observed in anorexia nervosa and it is associated with the plethora of psychopathological, cognitive and sleep disturbances that characterize these patients. This symptomatology improved after exogenous administration of a recombinant human leptin for up to 14 days [68]. Additionally, low leptin levels could partially drive cognitive impairment in AD, not only by its action on neuronal growth and function but also by its ability to inhibit amyloidogenic pathways and reduce tau phosphorylation [57]. However, it is not yet known whether leptin therapy is able to produce a clinically relevant reduction in cognitive decline in patients diagnosed with mild cognitive impairment or AD. The neuroprotective effect of adiponectin, on the other hand, is more likely to occur through its antiinflammatory and insulin sensitizing roles in the brain and the periphery [69]. Recent evidence from a mouse model of amyloidosis treated with adiponectin revealed its efficacy in overcoming hippocampal synaptic disturbances and inhibiting neuronal apoptosis and inflammation [70]. Given the difficulties in producing biologically active adiponectin, lifestyle interventions and the administration of adiponectin receptor agonists and drugs capable of increasing their circulating levels are a promising alternative [71]. In this vein, leptin replacement has shown to normalize adiponectin concentrations in leptin deficient ob/ob mice, with the consequent reductions in systemic oxidative stress and inflammation [32]. Absence of evidence for the moderating role of the remaining MtbS components on the neuroprotective action of adipocytokines The present study does not allow us to draw strong conclusions about the impact of the remaining MtbS components on the neuroprotective action of adipocytokines because the range of Bayes factors was very close to 1, which is considered anecdotal evidence according to Lee and Wagenmakers' classification scheme [72]. In the particular case of abdominal obesity, its potential effect could be due to associated metabolic disturbances, which were included as confounding variables. A similar explanation could apply to HDL cholesterol, as triglycerides largely determine plasma levels of this lipoprotein [73]. The lack of evidence regarding the impact of hypertension is not surprising considering the inconsistencies linking hypertension to cognitive dysfunction and cognitive decline [74]. The effect of hypertension could also be masked by parallel changes affecting the Ad/L ratio, as there is evidence that both low levels of adiponectin [75] and high levels of leptin [76] may act as mediators in the development of obesity-associated hypertension. Limitations Our study is subject to several limitations that warrant further consideration. Due to the cross-sectional nature of the study, it is challenging to derive causal relationships. Additionally, although all participants were cognitively normal, we cannot rule out that some of them had significant levels of AD neuropathology, especially in view of the existing associations between systemic IR and increased levels of amyloid-β42 in cerebrospinal fluid [77]. The study was further limited by the lack of a broader neuropsychological battery that included a comprehensive assessment of memory and other cognitive domains. This would not only have allowed us to assess the moderating effect of IR and other metabolic alterations on each of these cognitive domains separately, but it would also have contributed to clarify the lack of relationship between adiponectin and cognitive functioning [27]. Unfortunately, sample size and multicollinearity did not allow us to assess whether the three-way interaction was further moderated by sex and/or BMI status. Finally, we did not control for possible effects that other hormones (e.g., pancreatic, neurohypophysial and adenohypophysial among others) may have exerted on the moderating role of glycemia and triglyceridemia in the neuroprotective action of adipocytokines. All these aspects should be specifically addressed in future studies. www.aging-us.com 23944 AGING CONCLUSIONS The results derived from the present study suggest that the balance between adiponectin and leptin may be neuroprotective in ageing, although this effect is conditioned by the insulin status and other metabolic alterations. In particular, we showed that neuroprotection disappears under conditions of high insulin sensitivity when triglyceride levels are elevated. Whereas in conditions of high IR, elevated circulating glucose levels are the main limiting factor. Although the mechanisms behind these relationships need to be elucidated, results indicated that a target for the neuroprotective action of these adipocytokines, at least under conditions of IR, may be the rACC, a cortical hub linking cerebral areas governing emotion and cognitive control highly affected by ageing. Future research is required to determine whether glucose uptake as well as functional and structural connectivity patterns of this ventromedial prefrontal area are also associated with adipose tissue dysfunction, and whether interventions based either on modifiable lifestyle factors or exogenous administration of adipocytokines or drugs able to change their circulating levels improve cognition in ageing through their actions on the rACC. MATERIALS AND METHODS Participants This cross-sectional study included 239 participants (52 to 87 years, mean±SD: 67.4±5.9, 149 females) recruited from senior citizens associations, health screening programs, and Primary Care Health Centers in Seville and Santiago de Compostela. Participants were enrolled between September 2017 and November 2019 regardless of whether or not they presented obesity, type-2 diabetes, and/or MtbS provided that they were cognitively and neurologically normal. All of them underwent neurological and neuropsychological assessments to discard objective cognitive impairment and early signs of dementia. Participants showed normal cognitive performance in the neuropsychological tests relative to appropriate reference values for age and education level, a global score of 0 in the Clinical Dementia Rating, scores ≥ 27 in the Mini Mental State Examination, and normal independent function according to the Spanish version of the Interview for Deterioration in Daily Living Activities [78]. Participants taking drugs known to affect cognition or with a history of psychiatric illnesses, addiction disorders, or severe medical conditions such as coronary heart disease, stroke, sleep apnea, infectious disease, or cancer were excluded. The presence of depression was ruled out by the shorter version of the Geriatric Depression Scale (scores ≤ 5) [79]. All participants gave informed consent to the experimental protocol approved by the Ethical Committee for Clinical Research of the Junta de Andalucía and by the Galician Clinical Research Ethics Committee (CEIC) according to the principles outlined in the Declaration of Helsinki as revised in 2008. Cognitive assessment All participants were administered the shortened version of the Boston Naming Test (BNT); the semantic and letter verbal fluency tests based on the “Animal” and letter “P” naming tasks; and the two forms of the Trail Making Test (TMT-A and TMT-B). All scores were z transformed. In the case of TMT-A and TMT-B, we used the inverse z-values. Principal component analysis was applied to obtain the Spearman’s ‘g’ factor as an index of global cognitive function. The analysis revealed two significant factors (χ2 = 140.5, p < 0.001). We only retained the first one (eigenvalue 1.98), which explained 39.68% of variance in the data, due to the contribution of phonological fluency (0.79), semantic fluency (0.64), TMTA-A (0.52) and TMT-B (0.66). The second factor (eigenvalue 1.14), which explained 22.8% of variance, was not considered because it was mainly due to the contribution of BNT (0.86) and TMT-A (0.61). We used the standardized residuals to obtain the latent variable g (factor loading TMT-A: 0.81; TMT-B: 0.80; phonological fluency: 0.58; semantic fluency: 0.55; BNT: 0.23). Anthropometric, resting heart rate and blood pressure Anthropometric examination included three body size measurements: height, weight, and waist circumference. Waist circumference was measured in standing position with non-elastic tape at the middle between the upper point of the bilateral iliac crest and the inferior margin of the rib cage in the horizontal plane at the end of expiration. The BMI was calculated by dividing weight in kilograms by the square of height in meters. Heart rate and systolic/diastolic blood pressure measurements were obtained in sitting position, after spending 10 min in a quiet room maintained at a constant temperature of 22° C. Determination of cardiorespiratory fitness (CRF) To avoid the burden of exercise testing, we used a low-risk, low-cost, non-exercise estimate of CRF initially conducted in a cohort mainly integrated by men [80] and later validated in three different cohorts www.aging-us.com 23951 AGING Mild Cognitive Impairment. Front Neurosci. 2019; 13:857. https://doi.org/10.3389/fnins.2019.00857 PMID:31572106 66. Matochik JA, London ED, Yildiz BO, Ozata M, Caglayan S, DePaoli AM, Wong ML, Licinio J. Effect of leptin replacement on brain structure in genetically leptindeficient adults. J Clin Endocrinol Metab. 2005; 90:2851–54. https://doi.org/10.1210/jc.2004-1979 PMID:15713712 67. London ED, Berman SM, Chakrapani S, Delibasi T, Monterosso J, Erol HK, Paz-Filho G, Wong ML, Licinio J. Short-term plasticity of gray matter associated with leptin deficiency and replacement. J Clin Endocrinol Metab. 2011; 96:E1212–20. https://doi.org/10.1210/jc.2011-0314 PMID:21613360 68. Milos G, Antel J, Kaufmann LK, Barth N, Koller A, Tan S, Wiesing U, Hinney A, Libuda L, Wabitsch M, von Känel R, Hebebrand J. Short-term metreleptin treatment of patients with anorexia nervosa: rapid on-set of beneficial cognitive, emotional, and behavioral effects. Transl Psychiatry. 2020; 10:303. https://doi.org/10.1038/s41398-020-00977-1 PMID:32855384 69. Ng RC, Chan KH. Potential Neuroprotective Effects of Adiponectin in Alzheimer’s Disease. Int J Mol Sci. 2017; 18:592. https://doi.org/10.3390/ijms18030592 PMID:28282917 70. Wang M, Jo J, Song J. Adiponectin improves long-term potentiation in the 5XFAD mouse brain. Sci Rep. 2019; 9:8918. https://doi.org/10.1038/s41598-019-45509-0 PMID:31222110 71. Liu Y, Vu V, Sweeney G. Examining the Potential of Developing and Implementing Use of Adiponectin- Targeted Therapeutics for Metabolic and Cardiovascular Diseases. Front Endocrinol (Lausanne). 2019; 10:842. https://doi.org/10.3389/fendo.2019.00842 PMID:31920962 72. Lee MD, Wagenmakers EJ. Bayesian cognitive modeling: A practical course. Cambridge University Press. 2013. 73. Welty FK. How do elevated triglycerides and low HDL- cholesterol affect inflammation and atherothrombosis? Curr Cardiol Rep. 2013; 15:400. https://doi.org/10.1007/s11886-013-0400-4 PMID:23881582 74. Tadic M, Cuspidi C, Hering D. Hypertension and cognitive dysfunction in elderly: blood pressure management for this global burden. BMC Cardiovasc Disord. 2016; 16:208. https://doi.org/10.1186/s12872-016-0386-0 PMID:27809779 75. Kim DH, Kim C, Ding EL, Townsend MK, Lipsitz LA. Adiponectin levels and the risk of hypertension: a systematic review and meta-analysis. Hypertension. 2013; 62:27–32. https://doi.org/10.1161/HYPERTENSIONAHA.113.0145 3 PMID:23716587 76. Allison MA, Ix JH, Morgan C, McClelland RL, Rifkin D, Shimbo D, Criqui MH. Higher leptin is associated with hypertension: the Multi-Ethnic Study of Atherosclerosis. J Hum Hypertens. 2013; 27:617–22. https://doi.org/10.1038/jhh.2013.24 PMID:23535989 77. Hoscheidt SM, Starks EJ, Oh JM, Zetterberg H, Blennow K, Krause RA, Gleason CE, Puglielli L, Atwood CS, Carlsson CM, Asthana S, Johnson SC, Bendlin BB. Insulin Resistance is Associated with Increased Levels of Cerebrospinal Fluid Biomarkers of Alzheimer’s Disease and Reduced Memory Function in At-Risk Healthy Middle-Aged Adults. J Alzheimers Dis. 2016; 52:1373–83. https://doi.org/10.3233/JAD-160110 PMID:27079723 78. Böhm P, Peña-Casanova J, Aguilar M, Hernández G, Sol JM, Blesa R. Clinical validity and utility of the interview for deterioration of daily living in dementia for Spanish-speaking communities NORMACODEM Group. Int Psychogeriatr. 1998; 10:261–70. https://doi.org/10.1017/s1041610298005377 PMID:9785147 79. Yesavage JA, Brink TL, Rose TL, Lum O, Huang V, Adey M, Leirer VO. Development and validation of a geriatric depression screening scale: a preliminary report. J Psychiatr Res. 1982; 17:37–49. https://doi.org/10.1016/0022-3956(82)90033-4 PMID:7183759 80. Jackson AS, Blair SN, Mahar MT, Wier LT, Ross RM, Stuteville JE. Prediction of functional aerobic capacity without exercise testing. Med Sci Sports Exerc. 1990; 22:863–70. https://doi.org/10.1249/00005768-199012000-00021 PMID:2287267 81. Jurca R, Jackson AS, LaMonte MJ, Morrow JR Jr, Blair SN, Wareham NJ, Haskell WL, van Mechelen W, Church TS, Jakicic JM, Laukkanen R. Assessing cardiorespiratory fitness without performing exercise testing. Am J Prev Med. 2005; 29:185–93. https://doi.org/10.1016/j.amepre.2005.06.004 PMID:16168867 82. McAuley E, Szabo AN, Mailey EL, Erickson KI, Voss M, White SM, Wójcicki TR, Gothe N, Olson EA, Mullen SP, www.aging-us.com 23952 AGING Kramer AF. Non-Exercise Estimated Cardiorespiratory Fitness: Associations with Brain Structure, Cognition, and Memory Complaints in Older Adults. Ment Health Phys Act. 2011; 4:5–11. https://doi.org/10.1016/j.mhpa.2011.01.001 PMID:21808657 83. Alberti KG, Eckel RH, Grundy SM, Zimmet PZ, Cleeman JI, Donato KA, Fruchart JC, James WP, Loria CM, Smith SC Jr, and International Diabetes Federation Task Force on Epidemiology and Prevention, and National Heart, Lung, and Blood Institute, and American Heart Association, and World Heart Federation, and International Atherosclerosis Society, and International Association for the Study of Obesity. Circulation. 2009; 120:1640–45. https://doi.org/10.1161/CIRCULATIONAHA.109.192644 PMID:19805654 84. Yeo IK, Johnson RA. A new family of power transformations to improve normality or symmetry. Biometrika. 2000; 87: 954-59. https://doi.org/10.1093/biomet/87.4.954 85. Wagenmakers EJ, Marsman M, Jamil T, Ly A, Verhagen J, Love J, Selker R, Gronau QF, Šmíra M, Epskamp S, Matzke D, Rouder JN, Morey RD. Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychon Bull Rev. 2018; 25:35–57. https://doi.org/10.3758/s13423-017-1343-3 PMID:28779455 86. Box G, Cox D. An Analysis of Transformations (with Discussion). J R Stat Soc Series B Stat Methodol. 1964; 26:211–52. https://doi.org/10.1111/j.2517-6161.1964.tb00553.x 87. Bernal-Rusiel JL, Atienza M, Cantero JL. Detection of focal changes in human cortical thickness: spherical wavelets versus Gaussian smoothing. Neuroimage. 2008; 41:1278–92. https://doi.org/10.1016/j.neuroimage.2008.03.022 PMID:18474434 88. Bernal-Rusiel JL, Atienza M, Cantero JL. Determining the optimal level of smoothing in cortical thickness analysis: a hierarchical approach based on sequential statistical thresholding. Neuroimage. 2010; 52:158–71. https://doi.org/10.1016/j.neuroimage.2010.03.074 PMID:20362677 89. Bodner TE. Standardized Effect Sizes for Moderated Conditional Fixed Effects with Continuous Moderator Variables. Front Psychol. 2017; 8:562. https://doi.org/10.3389/fpsyg.2017.00562 PMID:28484404