Association between carbohydrate intake and fatty acids in the de novo lipogenic pathway in serum phospholipids and adipose tissue in a population of Swedish men

Fatty acid (FA) composition in plasma lipids and adipose tissue (AT) are widely used as biomarkers of dietary fat quality. However, whereas essential polyunsaturated FAs are overall useful biomarkers of PUFA intake, even-chain saturated fatty acids (SFA) and monounsaturated fatty acids (MUFA) are weaker biomarkers of dietary intake. This discrepancy among FA biomarkers may in part be due to the fact that SFA are non-essential and are thus to some extent endogenously synthesized. In addition, the major SFA palmitic acid (16:0) seems to be tightly regulated and can be readily desaturated to MUFA by stearoyl-CoA desaturase (SCD) [1].

De novo lipogenesis (DNL) is a process of converting excess carbohydrate (and alcohol) into even-chain SFA and subsequently to MUFA [2]. 16:0 is the major dietary SFA, but may also be endogenously synthesized through DNL during certain dietary conditions. Interventional studies suggest that hepatic DNL is induced by a high-carbohydrate and low-fat diet [3], leading to increased proportions of circulating 16:0 and other even-chain SFA [4‐6]. Further, overfeeding studies suggest that hepatic DNL is increased in healthy subjects overfed with carbohydrates [7]. Observational data are scarce, but in a US population of elderly individuals, there was a positive association between higher carbohydrate intake replacing fat and alcohol, and plasma SFA in phospholipids (PL) [8‐10]. In the EPIC-interact study, there were inconsistent associations between carbohydrate-rich foods and SFA in plasma PL, but still a possible role of DNL in explaining the increased risk of even-chained SFA with type 2 diabetes [11].

To our knowledge, no studies have investigated carbohydrate intake and the association with both circulating and AT SFA, SCD activity and SCD gene expression in the same population. Since the AT SFA turnover is lower than in serum lipids, and also that DNL may occur in AT, we found it of high interest to investigate FAs also in AT. Yet no studies have been conducted in Scandinavian populations, despite that several Swedish prospective cohort studies have demonstrated a direct link between serum SFA (especially 16:0) and diabetes and CVD [12, 13]. To interpret these associations between serum SFA and increased risk of disease outcomes, dietary and food intake data of carbohydrates and sugars are of clear interest. The aims of this study were to evaluate the association between carbohydrate, sugar, and alcohol intakes with individual SFA in the DNL pathway and total even-chain SFAs and MUFA in serum phospholipid and adipose tissue. Also, the associations between carbohydrates, SCD activity and SCD gene expression were evaluated. We hypothesized that higher intakes of total carbohydrates or sugar-rich foods, and/or alcohol intakes may be reflected in serum PL and AT as higher proportions of 16:0, 16:1, total SFA and possibly also as increased estimated SCD activity and AT gene expression.

Of the 301 men, two were excluded for not completing the 7-day food record, leaving the final sample size of the present study to 299 men. General characteristics including anthropometrics, clinical measurements, smoking habits and FA proportions and ratios in serum PL and AT are presented in Table 1. A majority (84%) of men were non-smokers. The median energy intake was 9.3 MJ/d and carbohydrates provided most of the energy intake (44%E), before fats (33%E) and proteins (16%E). The median energy percentage from disaccharides was 11%E of which sucrose was the major contributor (7%E). Alcohol contributed to a median of 4%E (Table 2).

After adjusting for BMI, carbohydrate intake was inversely associated with 16:0 in PL (P = 0.005) (Table 3). However, associations of carbohydrate-to-fiber ratio with FAs and SCD activity were not evident (BMI-adjusted P ≥ 0.13). There was little evidence of linear associations of disaccharide intake with fatty acids or SCD activity (BMI-adjusted P ≥ 0.15). However, disaccharide intake was non-linearly associated with 16:1 and SCD activity index in PL (P for non-linearity ≤ 0.02), with apparently higher 16:1 and SCD activity at high and low disaccharide intake (Supplementary Fig. 1). In a post hoc exploratory analysis with participants stratified by disaccharide intake (i.e. < 10%E versus ≥ 10%E), disaccharide intake was negatively associated with 16:0 in PL among those with lower intake (P = 0.038 after adjustment for BMI), and positively associated with 16:1 and SCD activity in PL among those with higher intakes (P = 0.026 and P = 0.024, respectively, after adjustment for BMI) (Supplementary Table 1). Monosaccharide intake was not associated with FA or SCD activity after adjusting for BMI. Alcohol consumption was linearly associated with higher levels of 16:0 in PL (BMI-adjusted P < 0.001) and with 16:1 and SCD activity (BMI-adjusted P < 0.001 and P ≤ 0.001, respectively) in both PL and AT (Table 3). In addition, non-linear associations of alcohol intake and 16:1 and SCD activity in PL were evident (P for non-linearity ≤ 0.02), with apparently stable levels at low and medium alcohol intake that rapidly increased at higher intakes (Supplementary Fig. 2). Intakes of carbohydrates, disaccharides, monosaccharides, and alcohol were not associated with plasma triglyceride concentrations, neither was the carbohydrate:fiber ratio (Supplementary Table 2).

Intake of sugar-rich foods and beverages was weakly and negatively correlated (r = − 0.12; P = 0.044) with 16:0 in PL but not in AT, and was not correlated with 16:1, total SFA, or SCD activity in PL or AT (Fig. 1). Starch-rich food intake was not correlated with 16:0 (r = − 0.06; P = 0.34) but correlated negatively with total SFA (r = − 0.13; P = 0.027) in AT, but not in PL (r = 0.07; P = 0.24) and was not correlated with 16:1 or SCD activity regardless of FA compartment. Intake of alcoholic beverages correlated with 16:0 in PL (r = 0.29; P < 0.0001), and with 16:1 (r = 0.28, P < 0.0001 and r = 0.27, P < 0.0001 in AT and PL, respectively) and SCD activity (r = 0.25, P < 0.0001 and r = 0.24, P = 0.0001 in AT and PL, respectively). Total SFA in AT was negatively correlated with intake of alcoholic beverages (r = − 0.17; P = 0.004). Intakes of fruits and vegetables were not correlated with FAs and SCD activity (Fig. 1).

Among the 81 men with dietary and gene expression data, no association of dietary carbohydrates, disaccharides, monosaccharides, alcohol, and the carbohydrate-to-fiber ratio with SCD gene expression was evident (P for linear trend ≥ 0.25; P for non-linearity ≥ 0.08) (Table 4).

In this Swedish male population, we found no evidence to suggest that higher total carbohydrate or sugar intake is reflected by higher serum or adipose SFA derived from DNL. In fact, there was an inverse association between total carbohydrate intake and 16:0 in serum PL, but not in AT. Alcohol intake was, however, associated with higher 16:0 as well as 16:1 and SCD activity in PL and AT, possibly reflecting an activation of DNL in both liver and AT at higher alcohol intakes [24]. Estimated SCD activity was not associated with carbohydrate intake, and in support to this result there was no significant association between SCD gene expression and carbohydrate intake or other macronutrients in this population. To our knowledge, this study is the first to examine the potential associations between carbohydrate intake and circulating and AT fatty acids in a Scandinavian population. Notably, in this population serum and plasma even-chained SFA has been directly linked to incident CVD, diabetes and mortality in other cohorts [12, 13]. Thus, our findings may provide some help to interpret those associations in terms of carbohydrate intake, indirectly suggesting none or only a minor role of high-carbohydrate or sugar-rich foods as drivers of those associations in Swedish populations. The median carbohydrate intake of the current Swedish men was 44% E% which is within the similar range of that reported for the Swedish population at this time [18]. This is, however, lower than the 54E% shown in a US population [25] that reported a positive association between, e.g. 16:0 in plasma PL and increasing intake of total carbohydrates in place of total fat (but not SFA) [10, 25]. Thus, it is possible that the level of carbohydrate intake will determine to what extent circulating SFA may reflect carbohydrate intake in a given population, and thereby also explain the different results between these US and Swedish populations.

In the pan-European EPIC-interact study, it was shown that total even-chain SFA in plasma PL were positively associated with the incidence of type 2 diabetes [11]. There was, however, inconsistent association between the intakes of different types of carbohydrate-rich foods and circulating SFA, thus not clearly supporting that carbohydrates per se were mediating the observed link between PL SFA and diabetes risk [11]. Short-term interventional studies, however, suggest a potential link between certain circulating SFA and high carbohydrate intake. A very low fat diet (10%E) and very high carbohydrate diet was found to markedly up-regulate DNL and increase plasma TG concentrations (with 54% higher proportion of 16:0) compared to a high-fat diet (40%E) [26]. In that study, there was a significant increase in 16:0 when subjects were fed a very high carbohydrate/very low fat diet [26]. Volk et al. instead found that increased carbohydrate intake across a range of intakes promoted an increase in 16:1 in cholesteryl esters and plasma triglycerides, but without consistent dose–response changes in plasma 16:0. Interestingly, 16:0 in plasma PL, in contrast to total SFA including 14:0, seemed to decrease with increasing carbohydrates [27], thus in line with the current observational data that found a carbohydrate intake to be inversely associated with serum 16:0 in PL. It should be noted that in these short-term feeding studies, there were differences in study designs and a clearly different range of total fat and carbohydrate intake that could explain some of the different results. We may speculate that our observational study setting may reflect a more habitual and realistic intake of both fat and carbohydrates, at least in Sweden. However, in line with Volk et al. [27] our post hoc sub-group analyses showed that 6:1n-7 levels in serum PL were associated with a disaccharide intake in the population with higher than 10E % intake. Still, the non-linear relationship between 16:1n-7 and lack of association with the intake of sugar-rich foods warrant careful interpretation of the potential role of 16:1n-7 as a biomarker of excessive sugar intake.

It should be noted that in the present population of Swedish men, the intake of total and simple carbohydrates were fairly representative for a Swedish population at the time [18]. Sucrose was a main source of simple sugars in the present population. Low-fat diets are rarely consumed in Swedish populations, but as such it would be stimulating DNL, especially when mostly consisting of short-chain glucose polymers (75% E), but less so when consisting substantial proportions of starch and complex of carbohydrates [11, 26, 28]. A short-term overfeeding with simple carbohydrates, either fructose or glucose, leads to several potentially deleterious metabolic alterations in healthy human subjects [29]. In overweight subjects, overfeeding with simple carbohydrate markedly increased liver fat and stimulates DNL [30]. In opposite to the present healthy men, sugar intake was not associated with serum 16:0 or total SFA even after adjustment for BMI. Our results accord well with recent data we reported from another cohort (Uppsala Longitudinal Study of Adult Men, ULSAM) of Swedish elderly men [31]. In that study, there was also an inverse association between total carbohydrate and sugar intake, with 16:0 or the SCD product 16:1 in AT [31]. Notably, SFA intake was weakly but significantly directly associated with adipose tissue 16:0 and 16:1, suggesting that in Swedish male populations around the time of the 1990s, higher proportions of SFA and 16:1 in serum and AT do not seem to reflect a higher carbohydrate intake and DNL activity, but more probably a higher dietary SFA and alcohol intake. These relationships, however, need to be studied and replicated in other Swedish populations, especially in younger populations and in women. There are no current data to suggest that the current results would be much different in other European countries, but it is warranted that these associations are also carried out in other countries, as well as in the US and other parts of the world that may have a more excessive consumption of simple sugars than the present Swedish men. Interestingly, when only including individuals (approximately 60% of this population) with higher sugar intake (≥ 10%E  %) there was still no positive association between sugar intake (i.e. disaccharides) and 16:0 levels, although 16:1n-7 and SCD-1 activity index were significantly associated, also after adjustment for BMI. The non-linear relationship between these two latter biomarkers and disaccharide intake, however, warrant further study of both 16:1n-7 and SCD-1 index in PL as potential biomarkers of very high sugar intake.

Our results show an association between higher alcohol intake and higher 16:0, 16:1 and estimated SCD activity. This is in line with previous studies showing that alcohol consumption is positively associated with 16:0 in plasma PL [32] and in erythrocyte membranes [25, 33, 34]. As a potential mechanism, alcohol consumption may increase the activity of acetyl-CoA carboxylase, a key lipogenic enzyme, and thereby the synthesis of 16:0 [33].

We found that total carbohydrate and alcohol intake were associated with lower and higher estimated SCD activity, respectively. However, no significant associations of dietary intake with SCD gene expression were observed. Previously, it was shown that SCD activity (in addition to DNL) increased in the short-term during very low fat diets (10%E), while lipogenic gene expression in subcutaneous AT lipogenic was unaffected by such diet [9]. In vivo animal studies suggest that lipogenic genes including SCD and sterol regulatory element-binding protein (SREBP)-1 are up-regulated at high carbohydrate intakes [35]. Thus, our observations in these Swedish men do not accord with such findings.

Our study has several strengths. We used a validated 7-d food record to assess dietary records and the macronutrient composition reported here is representative of the general Swedish population [36], thus increasing generalizability. FA composition was analysed in two biomarker compartments, circulating PL and AT, the latter considered as the preferable compartment to assess long-term dietary habits. All men included in the study were of similar age, thereby reducing the potential bias due to age differences.

Some limitations should be highlighted. The use of a cross-sectional and observational study design does not allow any causal inferences. Although we adjusted the associations for BMI, we cannot rule out residual confounding. Furthermore, we did use a validated 7-d food record, but we acknowledge that possible misreporting may have influenced our findings. Also, we estimated SCD activity in serum and AT, which may not reflect true SCD enzyme activity. In addition, it should be noted that our SCD-1 gene expression analyses was conducted in adipose tissue biopsies from the buttocks, which may not be comparative with those obtained from abdominal adipose tissue. Finally, we did not stratify or adjust for DNL regulatory hormones (e.g. testosterone or insulin levels) due to lack of available data, although it is possible that individual hormonal differences may to some extent influence the associations between carbohydrate intake and fatty acids in the lipogenic pathway.

Our observations in this population of Swedish men indicated no clear evidence to suggest that high total carbohydrate intake or sugar-rich foods or beverages is reflected by higher DNL-derived SFA in serum PL or AT. Further studies may be needed to investigate if 16:1n-7 in serum PL reflects disaccharides at higher intakes. Instead, alcohol was consistently associated with higher SFA and MUFA. Further population-based studies are needed to confirm these findings, and the effect of quantitative and qualitative carbohydrate intakes on circulating SFA and MUFA should optimally be evaluated in randomized studies in a Swedish population, to allow for casual inference and reduce the impact of inaccurate dietary assessment.