Associations between types and sources of dietary carbohydrates and liver fat: a UK Biobank study

Background and aims: Excess energy intake can lead to metabolic dysfunction-associated steatotic liver disease (MASLD), but the relationship between dietary carbohydrate intake and liver fat content remains unclear. This study aimed to examine the associations between types and sources of dietary carbohydrates and liver fat content. Methods: UK Biobank participants with no pre-existing diabetes, liver disease or cardiovascular disease reported dietary intake of types and sources of carbohydrates (total carbohydrates, free sugars, non-free sugars, starch from whole grains, starch from refined grains, and fibre) on at least two 24-h dietary assessments. In cross-sectional analyses, (n = 22,973), odds ratios (OR) of high liver fat content (defined as a score of ≥ 36 in the hepatic steatosis index) by quintiles of carbohydrate intakes were estimated using multivariable logistic regression models. In prospective analyses, a second sample (n = 9268) had liver proton density fat fraction (PDFF) measured by magnetic resonance imaging (2014–2020). Multivariable linear regression models estimated geometric means of PDFF (%) by quintiles of carbohydrate intakes. Models were adjusted for demographic and lifestyle confounders, including total energy intake. Results: In the cross-sectional analyses, 6894 cases of high liver fat content were identified. Inverse associations between intakes of fibre (OR of highest vs. lowest quintile 0.46 [95% CI: 0.41–0.52]), non-free sugars (0.63 [0.57–0.70]) and starch from whole grains (0.52 [0.47–0.57]) with liver fat were observed. There were positive associations between starch from refined grains and liver fat (1.33 [1.21–1.46]), but no association with free sugars (p=0.61). In prospective analyses, inverse associations with PDFF (%) were observed for intakes of fibre (− 0.48 geometric mean difference between highest and lowest quintile of intake [− 0.60 to − 0.35]), non-free sugars (− 0.37 [− 0.49 to − 0.25]) and starch from whole grains (− 0.31 [− 0.42 to − 0.19]). Free sugars, but not starch from refined grains, were positively associated with PDFF (0.17 [0.05 to 0.28]). Conclusion: This study suggests that different carbohydrate types and sources have varying associations with liver fat, which may be important for MASLD prevention. Non-free sugars, fibre, and starch from whole grains could be protective, while associations with free sugars and starch from refined grains are less clear

Associations between types and sources of dietary carbohydrates and liver fat:a UK Biobank study

BACKGROUND AND AIMS: Excess energy intake can lead to metabolic dysfunction-associated steatotic liver disease (MASLD), but the relationship between dietary carbohydrate intake and liver fat content remains unclear. This study aimed to examine the associations between types and sources of dietary carbohydrates and liver fat content. METHODS: UK Biobank participants with no pre-existing diabetes, liver disease or cardiovascular disease reported dietary intake of types and sources of carbohydrates (total carbohydrates, free sugars, non-free sugars, starch from whole grains, starch from refined grains, and fibre) on at least two 24-h dietary assessments. In cross-sectional analyses, (n = 22,973), odds ratios (OR) of high liver fat content (defined as a score of ≥ 36 in the hepatic steatosis index) by quintiles of carbohydrate intakes were estimated using multivariable logistic regression models. In prospective analyses, a second sample (n = 9268) had liver proton density fat fraction (PDFF) measured by magnetic resonance imaging (2014-2020). Multivariable linear regression models estimated geometric means of PDFF (%) by quintiles of carbohydrate intakes. Models were adjusted for demographic and lifestyle confounders, including total energy intake. RESULTS: In the cross-sectional analyses, 6894 cases of high liver fat content were identified. Inverse associations between intakes of fibre (OR of highest vs. lowest quintile 0.46 [95% CI: 0.41-0.52]), non-free sugars (0.63 [0.57-0.70]) and starch from whole grains (0.52 [0.47-0.57]) with liver fat were observed. There were positive associations between starch from refined grains and liver fat (1.33 [1.21-1.46]), but no association with free sugars (p=0.61). In prospective analyses, inverse associations with PDFF (%) were observed for intakes of fibre (- 0.48 geometric mean difference between highest and lowest quintile of intake [- 0.60 to - 0.35]), non-free sugars (- 0.37 [- 0.49 to - 0.25]) and starch from whole grains (- 0.31 [- 0.42 to - 0.19]). Free sugars, but not starch from refined grains, were positively associated with PDFF (0.17 [0.05 to 0.28]). CONCLUSION: This study suggests that different carbohydrate types and sources have varying associations with liver fat, which may be important for MASLD prevention. Non-free sugars, fibre, and starch from whole grains could be protective, while associations with free sugars and starch from refined grains are less clear

Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: a prospective study of 3057 matched case‐control sets from EPIC

Metabolomics may reveal novel insights into the etiology of prostate cancer, for which few risk factors are established. We investigated the association between patterns in baseline plasma metabolite profile and subsequent prostate cancer risk, using data from 3,057 matched case-control sets from the European Prospective Investigation into Cancer and Nutrition (EPIC). We measured 119 metabolite concentrations in plasma samples, collected on average 9.4 years before diagnosis, by mass spectrometry (AbsoluteIDQ p180 Kit, Biocrates Life Sciences AG). Metabolite patterns were identified using treelet transform, a statistical method for identification of groups of correlated metabolites. Associations of metabolite patterns with prostate cancer risk (OR1SD ) were estimated by conditional logistic regression. Supplementary analyses were conducted for metabolite patterns derived using principal component analysis and for individual metabolites. Men with metabolite profiles characterized by higher concentrations of either phosphatidylcholines or hydroxysphingomyelins (OR1SD = 0.77, 95% confidence interval 0.66-0.89), acylcarnitines C18:1 and C18:2, glutamate, ornithine and taurine (OR1SD = 0.72, 0.57-0.90), or lysophosphatidylcholines (OR1SD = 0.81, 0.69-0.95) had lower risk of advanced stage prostate cancer at diagnosis, with no evidence of heterogeneity by follow-up time. Similar associations were observed for the two former patterns with aggressive disease risk (the more aggressive subset of advanced stage), while the latter pattern was inversely related to risk of prostate cancer death (OR1SD = 0.77, 0.61-0.96). No associations were observed for prostate cancer overall or less aggressive tumor subtypes. In conclusion, metabolite patterns may be related to lower risk of more aggressive prostate tumors and prostate cancer death, and might be relevant to etiology of advanced stage prostate cancer

The forward physics facility at the high-luminosity LHC

High energy collisions at the High-Luminosity Large Hadron Collider (LHC) produce a large number of particles along the beam collision axis, outside of the acceptance of existing LHC experiments. The proposed Forward Physics Facility (FPF), to be located several hundred meters from the ATLAS interaction point and shielded by concrete and rock, will host a suite of experiments to probe standard model (SM) processes and search for physics beyond the standard model (BSM). In this report, we review the status of the civil engineering plans and the experiments to explore the diverse physics signals that can be uniquely probed in the forward region. FPF experiments will be sensitive to a broad range of BSM physics through searches for new particle scattering or decay signatures and deviations from SM expectations in high statistics analyses with TeV neutrinos in this low-background environment. High statistics neutrino detection will also provide valuable data for fundamental topics in perturbative and non-perturbative QCD and in weak interactions. Experiments at the FPF will enable synergies between forward particle production at the LHC and astroparticle physics to be exploited. We report here on these physics topics, on infrastructure, detector, and simulation studies, and on future directions to realize the FPF's physics potential

Micronutrient intake adequacy and depression risk in the SUN cohort study

Purpose The aim of the study was to prospectively assess the association between micronutrient intake adequacy and risk of depression. Methods This dynamic cohort study involves Spanish university graduates (SUN Project). Dietary intake was assessed at baseline and after 10 years of follow-up with a semi-quantitative food frequency questionnaire. Micronutrient intake adequacy for vitamins B1, B2, B3, B6, B12, C, A, D, E, folic acid, zinc, iodine, selenium, iron, calcium, potassium, phosphorus, magnesium and chrome was estimated. Inadequate intake for each nutrient was defined when the intake of the nutrient was below the estimated average requirements (EAR) if available or the adequate intake levels, if EARs were not available. We compared participants with inadequate intake for ≥4 nutrients vs. those with one nutrient. Participants were classified as having incident depression if they had no previous history of depression or antidepressants use at baseline, but they reported during follow-up a new clinical diagnosis of depression by a physician, use of antidepressant drugs, or both. Time-dependent multivariable Cox regression models were fitted. Results After a median follow-up of 8.5 years, 953 new cases of depression were observed among 13,983 participants. Participants with inadequate intake for ≥4 nutrients showed a significantly higher risk of depression [multivariable hazard ratio (HR) = 1.37; 95% confidence interval (CI) 1.01–1.85]. When the analyses were updated with repeated assessments of intakes, the association was attenuated and it was no longer statistically significant (Multivariable HR = 1.11; 95% CI 0.82–1.51). Conclusions Micronutrient inadequacy in four or more micronutrients could exert a moderate role in the development of depression.</p

Association between the nutrient profile system underpinning the Nutri-Score front-of-pack nutrition label and mortality in the SUN project: A prospective cohort study

Background & aims Front-of-pack nutrition labelling is a key public health policy that can be adopted as part of a comprehensive set of measures to promote healthy diets. The Nutri-Score, a five-colour summary label based on a modified version of the British Food Standards Agency Nutrient Profiling System (FSAm-NPS), is being considered for implementation in several European countries including Spain. This study aimed to prospectively assess the association between the FSAm-NPS and mortality rate in a Spanish cohort of university graduates. Methods Analyses included 20 503 participants (mean [SD] age: 38 [12] years) from the SUN cohort. Dietary intake was assessed at baseline and after 10-years of follow-up with a validated semi-quantitative food-frequency questionnaire. The FSAm-NPS was calculated for each food/beverage based on their amount of energy, saturated fat, sugar, sodium, fibre, protein, fruits, vegetables, legumes, nuts, rapeseed, walnut and olive oils per 100 g of product. The FSAm-NPS Dietary Index (DI) was computed as an energy-weighted mean of the FSAm-NPS scores of all foods and beverages consumed by each participant. Multivariable-adjusted Cox proportional hazards models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for all-cause and cause-specific mortality according to baseline and updated FSAm-NPS DI scores. Results Over a median follow-up of 10.9 years, 407 participants died. A higher baseline FSAm-NPS DI score, reflecting consumption of foods with lower nutritional quality and hence less favourable Nutri-Score rating, was directly associated with all-cause mortality (HR Q4 versus Q1 = 1.82; 95% CI: 1.34 to 2.47; p-trend<0.001) and cancer mortality (HR: 2.44; 95% CI: 1.54 to 3.85; p-trend<0.001). No association was found for cardiovascular mortality. Conclusions The consumption of food products with a higher FSAm-NPS score (lower nutritional quality) was associated with a higher rate of all-cause and cancer mortality in a large prospective cohort of Spanish, middle-aged university graduates. These findings further support the implementation of Nutri-Score in Euro-Mediterranean countries

Micronutrient intake adequacy and depression risk in the SUN cohort study

Purpose The aim of the study was to prospectively assess the association between micronutrient intake adequacy and risk of depression. Methods This dynamic cohort study involves Spanish university graduates (SUN Project). Dietary intake was assessed at baseline and after 10 years of follow-up with a semi-quantitative food frequency questionnaire. Micronutrient intake adequacy for vitamins B1, B2, B3, B6, B12, C, A, D, E, folic acid, zinc, iodine, selenium, iron, calcium, potassium, phosphorus, magnesium and chrome was estimated. Inadequate intake for each nutrient was defined when the intake of the nutrient was below the estimated average requirements (EAR) if available or the adequate intake levels, if EARs were not available. We compared participants with inadequate intake for ≥4 nutrients vs. those with one nutrient. Participants were classified as having incident depression if they had no previous history of depression or antidepressants use at baseline, but they reported during follow-up a new clinical diagnosis of depression by a physician, use of antidepressant drugs, or both. Time-dependent multivariable Cox regression models were fitted. Results After a median follow-up of 8.5 years, 953 new cases of depression were observed among 13,983 participants. Participants with inadequate intake for ≥4 nutrients showed a significantly higher risk of depression [multivariable hazard ratio (HR) = 1.37; 95% confidence interval (CI) 1.01–1.85]. When the analyses were updated with repeated assessments of intakes, the association was attenuated and it was no longer statistically significant (Multivariable HR = 1.11; 95% CI 0.82–1.51). Conclusions Micronutrient inadequacy in four or more micronutrients could exert a moderate role in the development of depression.</p