1
|
Bråtveit M, Van Parys A, Olsen T, Strand E, Marienborg I, Laupsa-Borge J, Haugsgjerd TR, McCann A, Dhar I, Ueland PM, Dierkes J, Dankel SN, Nygård OK, Lysne V. Association between dietary macronutrient composition and plasma one-carbon metabolites and B-vitamin cofactors in patients with stable angina pectoris. Br J Nutr 2024; 131:1678-1690. [PMID: 38361451 PMCID: PMC11063666 DOI: 10.1017/s0007114524000473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 01/03/2024] [Accepted: 02/13/2024] [Indexed: 02/17/2024]
Abstract
Elevated plasma concentrations of several one-carbon metabolites are associated with increased CVD risk. Both diet-induced regulation and dietary content of one-carbon metabolites can influence circulating concentrations of these markers. We cross-sectionally analysed 1928 patients with suspected stable angina pectoris (geometric mean age 61), representing elevated CVD risk, to assess associations between dietary macronutrient composition (FFQ) and plasma one-carbon metabolites and related B-vitamin status markers (GC-MS/MS, LC-MS/MS or microbiological assay). Diet-metabolite associations were modelled on the continuous scale, adjusted for age, sex, BMI, smoking, alcohol and total energy intake. Average (geometric mean (95 % prediction interval)) intake was forty-nine (38, 63) energy percent (E%) from carbohydrate, thirty-one (22, 45) E% from fat and seventeen (12, 22) E% from protein. The strongest associations were seen for higher protein intake, i.e. with higher plasma pyridoxal 5'-phosphate (PLP) (% change (95 % CI) 3·1 (2·1, 4·1)), cobalamin (2·9 (2·1, 3·7)), riboflavin (2·4 (1·1, 3·7)) and folate (2·1 (1·2, 3·1)) and lower total homocysteine (tHcy) (-1·4 (-1·9, -0·9)) and methylmalonic acid (MMA) (-1·4 (-2·0, -0·8)). Substitution analyses replacing MUFA or PUFA with SFA demonstrated higher plasma concentrations of riboflavin (5·0 (0·9, 9·3) and 3·3 (1·1, 5·6)), tHcy (2·3 (0·7, 3·8) and 1·3 (0·5, 2·2)) and MMA (2·0 (0·2, 3·9) and 1·7 (0·7, 2·7)) and lower PLP (-2·5 (-5·3, 0·3) and -2·7 (-4·2, -1·2)). In conclusion, a higher protein intake and replacing saturated with MUFA and PUFA were associated with a more favourable metabolic phenotype regarding metabolites associated with CVD risk.
Collapse
Affiliation(s)
- Marianne Bråtveit
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Anthea Van Parys
- Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Thomas Olsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Elin Strand
- Department of Immunology and Transfusion Medicine, Haukeland University Hospital, Bergen, Norway
| | - Ingvild Marienborg
- Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Johnny Laupsa-Borge
- Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
| | | | | | - Indu Dhar
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | | | - Jutta Dierkes
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
- Centre for Nutrition, Department of Clinical Medicine, University of Bergen, Bergen, Norway
- Laboratory Medicine and Pathology, Haukeland University Hospital, Bergen, Norway
| | - Simon Nitter Dankel
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Ottar Kjell Nygård
- Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Laboratory Medicine and Pathology, Haukeland University Hospital, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| | - Vegard Lysne
- Centre for Nutrition, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Heart Disease, Haukeland University Hospital, Bergen, Norway
| |
Collapse
|
2
|
Song M, Xu BP, Liang Q, Wei Y, Song Y, Chen P, Zhou Z, Zhang N, He Q, Liu L, Liu T, Zhang K, Hu C, Wang B, Xu X, Shi H. Association of serum choline levels and all-cause mortality risk in adults with hypertension: a nested case-control study. Nutr Metab (Lond) 2021; 18:108. [PMID: 34930356 PMCID: PMC8686288 DOI: 10.1186/s12986-021-00637-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 12/08/2021] [Indexed: 11/13/2022] Open
Abstract
Background Serum choline levels were associated with multiple chronic diseases. However, the association between serum choline and all-cause mortality in Chinese adults with hypertension remains unclear. The purpose of this study is to explore the association between serum choline concentrations and all-cause mortality risk in Chinese adults with hypertension, a high-risk population. Methods A nested, case–control study was conducted that included 279 patients with all-cause death, and 279 matched, living controls, derived from the China Stroke Primary Prevention Trial (CSPPT). Baseline serum choline concentrations were measured by liquid chromatography with tandem quadrupole mass spectrometry (LC–MS/MS). Multivariate logistic regression analysis was used to assess the association of serum choline levels and all-cause mortality risk, with adjustment of pertinent covariables, including folic acid and homocysteine. Results The median age of all participants was 64.13 years [interquartile range (IQR), 57.33–70.59 years]. The median serum choline concentration for cases (9.51 μg/mL) was higher than that in controls (7.80 μg/mL) (P = 0.009). When serum choline concentration was assessed as a continuous variable (per SD increased), there was a positive relation between serum choline levels and all-cause mortality risk [odds ratios (OR), 1.29; 95% confidence intervals (95%CI), 1.06–1.57; P = 0.010]. There was an increased all-cause mortality risk for participants in quartiles 2–4 (≥ 4.00 μg/mL; OR, 1.79; 95%CI, 1.15–2.78 compared with quartile 1 (< 4.00 μg/mL). In addition, non-drinking was found to promote the incidence of all-cause mortality for those with high choline concentrations. Conclusions High serum choline concentrations were associated with increased all-cause mortality risk among Chinese adults with hypertension, compared to lower choline concentrations. Trial registration clinicaltrials.gov Identifier: NCT007948885; UTL: https://clinicaltrials.gov/ct2/show/NCT00794885?term=NCT00794885&draw=2&rank=1.
Collapse
Affiliation(s)
- Mengmeng Song
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Benjamin P Xu
- Department of Epidemiology and Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA
| | - Qiongyue Liang
- State Key Laboratory of Natural Medicines, Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, 210009, China
| | - Yaping Wei
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, 100083, China
| | - Yun Song
- Institute for Biomedicine, Anhui Medical University, Hefei, China.,Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Ping Chen
- College of Pharmacy, Jinan University, Guangzhou, China
| | - Ziyi Zhou
- Shenzhen Evergreen Medical Institute, Shenzhen, China.,Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
| | - Nan Zhang
- Department of Epidemiology and Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, 02115, USA
| | - Qiangqiang He
- Shenzhen Evergreen Medical Institute, Shenzhen, China.,Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
| | - Lishun Liu
- Shenzhen Evergreen Medical Institute, Shenzhen, China.,Graduate School at Shenzhen, Tsinghua University, Shenzhen, China
| | - Tong Liu
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Kangping Zhang
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Chunlei Hu
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China.,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China
| | - Binyan Wang
- Institute for Biomedicine, Anhui Medical University, Hefei, China.,Shenzhen Evergreen Medical Institute, Shenzhen, China
| | - Xiping Xu
- Key Laboratory of Precision Nutrition and Food Quality, Ministry of Education, Department of Nutrition and Health, Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Food Sciences and Nutritional Engineering, China Agricultural University, Beijing, 100083, China.
| | - Hanping Shi
- Department of Gastrointestinal Surgery/Clinical Nutrition, Capital Medical University Affiliated Beijing Shijitan Hospital, Beijing, 100038, China. .,Beijing International Science and Technology Cooperation Base for Cancer Metabolism and Nutrition, Beijing, 100038, China.
| |
Collapse
|