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Ratautė K, Ratautas D. A Review from a Clinical Perspective: Recent Advances in Biosensors for the Detection of L-Amino Acids. BIOSENSORS 2023; 14:5. [PMID: 38248382 PMCID: PMC10813600 DOI: 10.3390/bios14010005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 12/14/2023] [Accepted: 12/19/2023] [Indexed: 01/23/2024]
Abstract
The field of biosensors is filled with reports and designs of various sensors, with the vast majority focusing on glucose sensing. However, in addition to glucose, there are many other important analytes that are worth investigating as well. In particular, L-amino acids appear as important diagnostic markers for a number of conditions. However, the progress in L-amino acid detection and the development of biosensors for L-amino acids are still somewhat insufficient. In recent years, the need to determine L-amino acids from clinical samples has risen. More clinical data appear to demonstrate that abnormal concentrations of L-amino acids are related to various clinical conditions such as inherited metabolic disorders, dyslipidemia, type 2 diabetes, muscle damage, etc. However, to this day, the diagnostic potential of L-amino acids is not yet fully established. Most likely, this is because of the difficulties in measuring L-amino acids, especially in human blood. In this review article, we extensively investigate the 'overlooked' L-amino acids. We review typical levels of amino acids present in human blood and broadly survey the importance of L-amino acids in most common conditions which can be monitored or diagnosed from changes in L-amino acids present in human blood. We also provide an overview of recent biosensors for L-amino acid monitoring and their advantages and disadvantages, with some other alternative methods for L-amino acid quantification, and finally we outline future perspectives related to the development of biosensing devices for L-amino acid monitoring.
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Affiliation(s)
- Kristina Ratautė
- Faculty of Medicine, Vilnius University, M. K. Čiurlionio Str. 21, LT-03101 Vilnius, Lithuania
| | - Dalius Ratautas
- Life Science Center, Vilnius University, Saulėtekio al. 7, LT-10257 Vilnius, Lithuania
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2
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Tore EC, Eussen SJPM, Bastani NE, Dagnelie PC, Elshorbagy AK, Grootswagers P, Kožich V, Olsen T, Refsum H, Retterstøl K, Stehouwer CDA, Stolt ETK, Vinknes KJ, van Greevenbroek MMJ. The Associations of Habitual Intake of Sulfur Amino Acids, Proteins and Diet Quality with Plasma Sulfur Amino Acid Concentrations: The Maastricht Study. J Nutr 2023; 153:2027-2040. [PMID: 37164267 DOI: 10.1016/j.tjnut.2023.05.008] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 04/12/2023] [Accepted: 05/04/2023] [Indexed: 05/12/2023] Open
Abstract
BACKGROUND Plasma sulfur amino acids (SAAs), i.e., methionine, total cysteine (tCys), total homocysteine (tHcy), cystathionine, total glutathione (tGSH), and taurine, are potential risk factors for obesity and cardiometabolic disorders. However, except for plasma tHcy, little is known about how dietary intake modifies plasma SAA concentrations. OBJECTIVE To investigate whether the intake of SAAs and proteins or diet quality is associated with plasma SAAs. METHODS Data from a cross-sectional subset of The Maastricht Study (n = 1145, 50.5% men, 61 interquartile range: [55, 66] y, 22.5% with prediabetes and 34.3% with type 2 diabetes) were investigated. Dietary intake was assessed using a validated food frequency questionnaire. The intake of SAAs (total, methionine, and cysteine) and proteins (total, animal, and plant) was estimated from the Dutch and Danish food composition tables. Diet quality was assessed using the Dutch Healthy Diet Index, the Mediterranean Diet Score, and the Dietary Approaches to Stop Hypertension score. Fasting plasma SAAs were measured by liquid chromatography (LC) tandem mass spectrometry (MS) (LC/MS-MS). Associations were investigated with multiple linear regressions with tertiles of dietary intake measures (main exposures) and z-standardized plasma SAAs (outcomes). RESULTS Intake of total SAAs and total proteins was positively associated with plasma tCys and cystathionine. Associations were stronger in women and in those with normal body weight. Higher intake of cysteine and plant proteins was associated with lower plasma tHcy and higher cystathionine. Higher methionine intake was associated with lower plasma tGSH, whereas cysteine intake was positively associated with tGSH. Higher intake of methionine and animal proteins was associated with higher plasma taurine. Better diet quality was consistently related to lower plasma tHcy concentrations, but it was not associated with the other SAAs. CONCLUSION Targeted dietary modifications might be effective in modifying plasma concentrations of tCys, tHcy, and cystathionine, which have been associated with obesity and cardiometabolic disorders.
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Affiliation(s)
- Elena C Tore
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands.
| | - Simone J P M Eussen
- CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands; Department of Epidemiology, Maastricht University, Maastricht, the Netherlands; CAPHRI Care and Public Health Research Institute, Maastricht University, Maastricht, the Netherlands
| | - Nasser E Bastani
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Pieter C Dagnelie
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
| | - Amany K Elshorbagy
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom; Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Pol Grootswagers
- Division of Human Nutrition and Health, Wageningen University, Wageningen, the Netherlands
| | - Viktor Kožich
- Department of Pediatrics and Inherited Metabolic Disorders, Charles University-First Faculty of Medicine, and General University Hospital in Prague, Czech Republic
| | - Thomas Olsen
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Helga Refsum
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway; Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Kjetil Retterstøl
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Coen DA Stehouwer
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
| | - Emma T K Stolt
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Kathrine J Vinknes
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Marleen M J van Greevenbroek
- Department of Internal Medicine, Maastricht University, Maastricht, the Netherlands; CARIM School for Cardiovascular Disease, Maastricht University, Maastricht, the Netherlands
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Elshorbagy A, Bastani NE, Lee-Ødegård S, Øvrebø B, Haj-Yasein N, Svendsen K, Turner C, Refsum H, Vinknes KJ, Olsen T. The association of fasting plasma thiol fractions with body fat compartments, biomarker profile, and adipose tissue gene expression. Amino Acids 2023; 55:313-323. [PMID: 36542145 PMCID: PMC10038976 DOI: 10.1007/s00726-022-03229-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2022] [Accepted: 12/17/2022] [Indexed: 12/24/2022]
Abstract
People with high plasma total cysteine (tCys) have higher fat mass and higher concentrations of the atherogenic apolipoprotein B (apoB). The disulfide form, cystine, enhanced human adipogenesis and correlated with total fat mass in a Middle-Eastern cohort. In 35 European adults with overweight (88.6% women) and with dual-X-ray absorptiometry measurements of regional fat, we investigated how cystine compared to other free disulfides in their association with total regional adiposity, plasma lipid and glucose biomarkers, and adipose tissue lipid enzyme mRNA (n = 19). Most total plasma homocysteine (tHcy) (78%) was protein-bound; 63% of total glutathione (tGSH) was reduced. tCys was 49% protein-bound, 30% mixed-disulfide, 15% cystine, and 6% reduced. Controlling for age and lean mass, cystine and total free cysteine were the fractions most strongly associated with android and total fat: 1% higher cystine predicted 1.97% higher android fat mass (95% CI 0.64, 3.31) and 1.25% (0.65, 2.98) higher total fat mass (both p = 0.005). A positive association between tCys and apoB (β: 0.64%; 95% CI 0.17, 1.12%, p = 0.009) was apparently driven by free cysteine and cystine; cystine was also inversely associated with the HDL-associated apolipoprotein A1 (β: -0.57%; 95% CI -0.96, -0.17%, p = 0.007). No independent positive associations with adiposity were noted for tGSH or tHcy fractions. Plasma cystine correlated with CPT1a mRNA (Spearman's r = 0.68, p = 0.001). In conclusion, plasma cystine-but not homocysteine or glutathione disulfides-is associated with android adiposity and an atherogenic plasma apolipoprotein profile. The role of cystine in human adiposity and cardiometabolic risk deserves investigation. ClinicalTrials.gov identifiers: NCT02647970 and NCT03629392.
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Affiliation(s)
- Amany Elshorbagy
- Department of Pharmacology, University of Oxford, Oxford, UK
- Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Nasser E Bastani
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway
| | - Sindre Lee-Ødegård
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway
| | - Bente Øvrebø
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway
| | - Nadia Haj-Yasein
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway
| | - Karianne Svendsen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway
- The Cancer Registry of Norway, Oslo University Hospital, Oslo, Norway
| | - Cheryl Turner
- Department of Pharmacology, University of Oxford, Oxford, UK
| | - Helga Refsum
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway
| | - Kathrine J Vinknes
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway
| | - Thomas Olsen
- Department of Nutrition, Institute of Basic Medical Sciences, Faculty of Medicine, University of Oslo, Blindern, Postboks 1046, Oslo, Norway.
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Associations between plasma sulfur amino acids and specific fat depots in two independent cohorts: CODAM and The Maastricht Study. Eur J Nutr 2023; 62:891-904. [PMID: 36322288 PMCID: PMC9941263 DOI: 10.1007/s00394-022-03041-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Accepted: 10/20/2022] [Indexed: 02/23/2023]
Abstract
PURPOSE Sulfur amino acids (SAAs) have been associated with obesity and obesity-related metabolic diseases. We investigated whether plasma SAAs (methionine, total cysteine (tCys), total homocysteine, cystathionine and total glutathione) are related to specific fat depots. METHODS We examined cross-sectional subsets from the CODAM cohort (n = 470, 61.3% men, median [IQR]: 67 [61, 71] years) and The Maastricht Study (DMS; n = 371, 53.4% men, 63 [55, 68] years), enriched with (pre)diabetic individuals. SAAs were measured in fasting EDTA plasma with LC-MS/MS. Outcomes comprised BMI, skinfolds, waist circumference (WC), dual-energy X-ray absorptiometry (DXA, DMS), body composition, abdominal subcutaneous and visceral adipose tissues (CODAM: ultrasound, DMS: MRI) and liver fat (estimated, in CODAM, or MRI-derived, in DMS, liver fat percentage and fatty liver disease). Associations were examined with linear or logistic regressions adjusted for relevant confounders with z-standardized primary exposures and outcomes. RESULTS Methionine was associated with all measures of liver fat, e.g., fatty liver disease [CODAM: OR = 1.49 (95% CI 1.19, 1.88); DMS: OR = 1.51 (1.09, 2.14)], but not with other fat depots. tCys was associated with overall obesity, e.g., BMI [CODAM: β = 0.19 (0.09, 0.28); DMS: β = 0.24 (0.14, 0.34)]; peripheral adiposity, e.g., biceps and triceps skinfolds [CODAM: β = 0.15 (0.08, 0.23); DMS: β = 0.20 (0.12, 0.29)]; and central adiposity, e.g., WC [CODAM: β = 0.16 (0.08, 0.25); DMS: β = 0.17 (0.08, 0.27)]. Associations of tCys with VAT and liver fat were inconsistent. Other SAAs were not associated with body fat. CONCLUSION Plasma concentrations of methionine and tCys showed distinct associations with different fat depots, with similar strengths in the two cohorts.
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The association of serum sulfur amino acids and related metabolites with incident diabetes: a prospective cohort study. Eur J Nutr 2022; 61:3161-3173. [PMID: 35415822 DOI: 10.1007/s00394-022-02872-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2021] [Accepted: 03/08/2022] [Indexed: 12/20/2022]
Abstract
AIM Plasma total cysteine (tCys) is associated with fat mass and insulin resistance, whereas taurine is inversely related to diabetes risk. We investigated the association of serum sulfur amino acids (SAAs) and related amino acids (AAs) with incident diabetes. METHODS Serum AAs were measured at baseline in 2997 subjects aged ≥ 65 years. Diabetes was recorded at baseline and after 4 years. Logistic regression evaluated the association of SAAs [methionine, total homocysteine (tHcy), cystathionine, tCys, and taurine] and related metabolites [serine, total glutathione (tGSH), glutamine, and glutamic acid] with diabetes risk. RESULTS Among 2564 subjects without diabetes at baseline, 4.6% developed diabetes. Each SD increment in serum tCys was associated with a 68% higher risk (95% CI 1.27, 2.23) of diabetes [OR for upper vs. lower quartile 2.87 (1.39, 5.91)], after full adjustments (age, sex, other AAs, adiposity, eGFR, physical activity, blood pressure, diet and medication); equivalent ORs for cystathionine were 1.33 (1.08, 1.64) and 1.68 (0.85, 3.29). Subjects who were simultaneously in the upper tertiles of both cystathionine and tCys had a fivefold risk [OR = 5.04 (1.55, 16.32)] of diabetes compared with those in the lowest tertiles. Higher serine was independently associated with a lower risk of developing diabetes [fully adjusted OR per SD = 0.68 (0.54, 0.86)]. Glutamic acid and glutamine showed positive and negative associations, respectively, with incident diabetes in age- and sex-adjusted analysis, but only the glutamic acid association was independent of other confounders [fully adjusted OR per SD = 1.95 (1.19, 3.21); for upper quartile = 7.94 (3.04, 20.75)]. tGSH was inversely related to diabetes after adjusting for age and sex, but not other confounders. No consistent associations were observed for methionine, tHcy or taurine. CONCLUSION Specific SAAs and related metabolites show strong and independent associations with incident diabetes. This suggests that perturbations in the SAA metabolic pathway may be an early marker for diabetes risk.
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Solon-Biet SM, Griffiths L, Fosh S, Le Couteur DG, Simpson SJ, Senior AM. Meta-analysis links dietary branched-chain amino acids to metabolic health in rodents. BMC Biol 2022; 20:19. [PMID: 35031039 PMCID: PMC8760763 DOI: 10.1186/s12915-021-01201-2] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2021] [Accepted: 11/29/2021] [Indexed: 12/13/2022] Open
Abstract
Background The role of dietary branched chain amino acids (BCAAs) and their effect on metabolic health is complex. How dietary BCAA levels and their interaction with background nutrition affect health is unclear. Here, we used meta-analysis and meta-regression, together with the nutritional modelling, to analyse the results of rodent studies that increased the level of dietary BCAAs and measured circulating levels, outcomes related to metabolic health, body mass and food intake. Results Across all studies, increasing dietary BCAAs resulted in increased levels of circulating BCAAs. These effects, however, were heavily moderated by background dietary levels whereby on high BCAA diets, further increases were not reflected in the blood. Impaired glucose tolerance was associated with elevated dietary BCAAs, with the greatest effect occurring with a simultaneous increase in total protein intake. Effects of dietary BCAAs on plasma glucose, insulin, or HOMA emerged only when dietary macronutrient background was considered. We found that elevated dietary BCAAs increases % body fat, with largest increases in adiposity occurring when BCAAs are increased on a high protein, low carbohydrate dietary background. Finally, we found that increased dietary BCAAs were associated with increased food intake when the background diet was low in BCAAs. Conclusion Our data highlights the interaction between BCAAs and background nutrition. We show that the effects of BCAAs on metabolic health cannot be studied in isolation but must be considered as part of complex mixture of dietary components. Supplementary Information The online version contains supplementary material available at 10.1186/s12915-021-01201-2.
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Affiliation(s)
- Samantha M Solon-Biet
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia. .,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
| | - Lucy Griffiths
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Sophie Fosh
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.,Sydney Medical School, Faculty of Health and Medicine, The University of Sydney, Sydney, NSW, Australia.,Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Sydney, NSW, Australia.,ANZAC Research Institute, The University of Sydney, Sydney, NSW, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia.,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia. .,School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, Sydney, NSW, Australia. .,School of Mathematics and Statistics, Faculty of Science, The University of Sydney, Sydney, NSW, Australia.
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Extracellular cystine influences human preadipocyte differentiation and correlates with fat mass in healthy adults. Amino Acids 2021; 53:1623-1634. [PMID: 34519922 PMCID: PMC8521515 DOI: 10.1007/s00726-021-03071-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2021] [Accepted: 08/19/2021] [Indexed: 02/08/2023]
Abstract
Plasma cysteine is associated with human obesity, but it is unknown whether this is mediated by reduced, disulfide (cystine and mixed-disulfides) or protein-bound (bCys) fractions. We investigated which cysteine fractions are associated with adiposity in vivo and if a relevant fraction influences human adipogenesis in vitro. In the current study, plasma cysteine fractions were correlated with body fat mass in 35 adults. Strong positive correlations with fat mass were observed for cystine and mixed disulfides (r ≥ 0.61, P < 0.001), but not the quantitatively major form, bCys. Primary human preadipocytes were differentiated in media containing cystine concentrations varying from 10-50 μM, a range similar to that in plasma. Increasing extracellular cystine (10-50 μM) enhanced mRNA expression of PPARG2 (to sixfold), PPARG1, PLIN1, SCD1 and CDO1 (P = 0.042- < 0.001). Adipocyte lipid accumulation and lipid-droplet size showed dose-dependent increases from lowest to highest cystine concentrations (P < 0.001), and the malonedialdehyde/total antioxidant capacity increased, suggesting increased oxidative stress. In conclusion, increased cystine concentrations, within the physiological range, are positively associated with both fat mass in healthy adults and human adipogenic differentiation in vitro. The potential role of cystine as a modifiable factor regulating human adipocyte turnover and metabolism deserves further study.
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Wali JA, Solon-Biet SM, Freire T, Brandon AE. Macronutrient Determinants of Obesity, Insulin Resistance and Metabolic Health. BIOLOGY 2021; 10:336. [PMID: 33923531 PMCID: PMC8072595 DOI: 10.3390/biology10040336] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Accepted: 04/07/2021] [Indexed: 01/18/2023]
Abstract
Obesity caused by the overconsumption of calories has increased to epidemic proportions. Insulin resistance is often associated with an increased adiposity and is a precipitating factor in the development of cardiovascular disease, type 2 diabetes, and altered metabolic health. Of the various factors contributing to metabolic impairments, nutrition is the major modifiable factor that can be targeted to counter the rising prevalence of obesity and metabolic diseases. However, the macronutrient composition of a nutritionally balanced "healthy diet" are unclear, and so far, no tested dietary intervention has been successful in achieving long-term compliance and reductions in body weight and associated beneficial health outcomes. In the current review, we briefly describe the role of the three major macronutrients, carbohydrates, fats, and proteins, and their role in metabolic health, and provide mechanistic insights. We also discuss how an integrated multi-dimensional approach to nutritional science could help in reconciling apparently conflicting findings.
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Affiliation(s)
- Jibran A Wali
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
- School of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia
| | - Samantha M Solon-Biet
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Therese Freire
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
| | - Amanda E Brandon
- Charles Perkins Centre, University of Sydney, Sydney, NSW 2006, Australia
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW 2006, Australia
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Schwinger C, Chowdhury R, Sharma S, Bhandari N, Taneja S, Ueland PM, Strand TA. Association of Plasma Total Cysteine and Anthropometric Status in 6-30 Months Old Indian Children. Nutrients 2020; 12:nu12103146. [PMID: 33076294 PMCID: PMC7602373 DOI: 10.3390/nu12103146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Revised: 10/09/2020] [Accepted: 10/10/2020] [Indexed: 12/21/2022] Open
Abstract
High-quality protein has been associated with child growth; however, the role of the amino acid cysteine remains unclear. The aim was to measure the extent to which plasma total cysteine (tCys) concentration is associated with anthropometric status in children aged 6–30 months living in New Delhi, India. The study was a prospective cohort study including 2102 children. We calculated Z-scores for height-for-age (HAZ), weight-for-height (WHZ), or weight-for-age (WAZ) according to the WHO Child Growth Standards. We used multiple regression models to estimate the association between tCys and the anthropometric indices. A high proportion of the children were categorized as malnourished at enrolment; 41% were stunted (HAZ ≤ −2), 19% were wasted (WHZ ≤ −2) and 42% underweight (WAZ ≤ −2). Plasma total cysteine (tCys) was significantly associated with HAZ, WHZ and WAZ after adjusting for relevant confounders (p < 0.001). Low tCys (≤25th percentile) was associated with a decrease of 0.28 Z-scores for HAZ, 0.10 Z-scores for WHZ, and 0.21 Z-scores for WAZ compared to being >25th percentile. In young Indian children from low-to-middle socioeconomic neighborhoods, a low plasma total cysteine concentration was associated with an increased risk of poor anthropometric status.
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Affiliation(s)
- Catherine Schwinger
- Centre for Intervention Science in Maternal and Child Health, Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Catherine Schwinger, Årstadveien 21, 5009 Bergen, Norway; (R.C.); (N.B.); (T.A.S.)
- Correspondence: ; Tel.: +47-5558-9733
| | - Ranadip Chowdhury
- Centre for Intervention Science in Maternal and Child Health, Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Catherine Schwinger, Årstadveien 21, 5009 Bergen, Norway; (R.C.); (N.B.); (T.A.S.)
- Society for Applied Studies, New Delhi 110016, India;
| | - Shakun Sharma
- Department of Child Health, Institute of Medicine, Tribuhvan University, Kathmandu 44613, Nepal;
| | - Nita Bhandari
- Centre for Intervention Science in Maternal and Child Health, Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Catherine Schwinger, Årstadveien 21, 5009 Bergen, Norway; (R.C.); (N.B.); (T.A.S.)
- Society for Applied Studies, New Delhi 110016, India;
| | - Sunita Taneja
- Society for Applied Studies, New Delhi 110016, India;
| | - Per M. Ueland
- Department of Clinical Science, University of Bergen,5020 Bergen, Norway;
| | - Tor A. Strand
- Centre for Intervention Science in Maternal and Child Health, Centre for International Health, Department of Global Public Health and Primary Care, University of Bergen, Catherine Schwinger, Årstadveien 21, 5009 Bergen, Norway; (R.C.); (N.B.); (T.A.S.)
- Department of Research, Innlandet Hospital Trust, 2618 Lillehammer, Norway
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Sayda MH, Phillips BE, Williams JP, Greenhaff PL, Wilkinson DJ, Smith K, Atherton PJ. Associations between Plasma Branched Chain Amino Acids and Health Biomarkers in Response to Resistance Exercise Training Across Age. Nutrients 2020; 12:nu12103029. [PMID: 33023275 PMCID: PMC7601782 DOI: 10.3390/nu12103029] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/1970] [Revised: 09/24/2020] [Accepted: 09/30/2020] [Indexed: 01/10/2023] Open
Abstract
Leucine, isoleucine and valine (i.e., the branched chain amino acids, BCAA) play a key role in the support and regulation of tissue protein regulation and also as energy substrates. However, positive relationships exist between elevated levels of BCAA and insulin resistance (IR). Thus, we sought to investigate the links between fasting plasma BCAA following a progressive resistance exercise training (RET) programme, an intervention known to improve metabolic health. Fasting plasma BCAA were quantified in adults (young: 18-28 y, n = 8; middle-aged: 45-55 y, n = 9; older: 65-75 y, n = 15; BMI: 23-28 kg/m2, both males and females (~50:50), in a cross-sectional, intervention study. Participants underwent 20-weeks whole-body RET. Measurements of body composition, muscle strength (1-RM) and metabolic health biomarkers (e.g., HOMA-IR) were made pre- and post-RET. BCAA concentrations were determined by gas-chromatography mass spectrometry (GC-MS). No associations were observed across age with BCAA; however, RET elicited (p < 0.05) increases in plasma BCAA (all age-groups), while HOMA-IR scores reduced (p < 0.05) following RET. After RET, positive correlations in lean body mass (p = 0.007) and strength gains (p = 0.001) with fasting BCAA levels were observed. Elevated BCAA are not a robust marker of ageing nor IR in those with a healthy BMI; rather, despite decreasing IR, RET was associated with increased BCAA.
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Affiliation(s)
- Mariwan H. Sayda
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham NG7 2RD, UK; (M.H.S.); (B.E.P.); (J.P.W.); (P.L.G.); (D.J.W.); (K.S.)
- The National Centre for Sport and Exercise Medicine—East Midlands, University of Nottingham, Nottingham NG7 2UH, UK
| | - Bethan E. Phillips
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham NG7 2RD, UK; (M.H.S.); (B.E.P.); (J.P.W.); (P.L.G.); (D.J.W.); (K.S.)
- The National Centre for Sport and Exercise Medicine—East Midlands, University of Nottingham, Nottingham NG7 2UH, UK
- NIHR Biomedical Research Centre, University of Nottingham, Nottingham NG7 2UH, UK
| | - John P. Williams
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham NG7 2RD, UK; (M.H.S.); (B.E.P.); (J.P.W.); (P.L.G.); (D.J.W.); (K.S.)
| | - Paul L. Greenhaff
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham NG7 2RD, UK; (M.H.S.); (B.E.P.); (J.P.W.); (P.L.G.); (D.J.W.); (K.S.)
- The National Centre for Sport and Exercise Medicine—East Midlands, University of Nottingham, Nottingham NG7 2UH, UK
- NIHR Biomedical Research Centre, University of Nottingham, Nottingham NG7 2UH, UK
| | - Daniel J. Wilkinson
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham NG7 2RD, UK; (M.H.S.); (B.E.P.); (J.P.W.); (P.L.G.); (D.J.W.); (K.S.)
- The National Centre for Sport and Exercise Medicine—East Midlands, University of Nottingham, Nottingham NG7 2UH, UK
- NIHR Biomedical Research Centre, University of Nottingham, Nottingham NG7 2UH, UK
| | - Ken Smith
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham NG7 2RD, UK; (M.H.S.); (B.E.P.); (J.P.W.); (P.L.G.); (D.J.W.); (K.S.)
- The National Centre for Sport and Exercise Medicine—East Midlands, University of Nottingham, Nottingham NG7 2UH, UK
- NIHR Biomedical Research Centre, University of Nottingham, Nottingham NG7 2UH, UK
| | - Philip J. Atherton
- MRC-Versus Arthritis Centre for Musculoskeletal Ageing Research, University of Nottingham, Nottingham NG7 2RD, UK; (M.H.S.); (B.E.P.); (J.P.W.); (P.L.G.); (D.J.W.); (K.S.)
- The National Centre for Sport and Exercise Medicine—East Midlands, University of Nottingham, Nottingham NG7 2UH, UK
- NIHR Biomedical Research Centre, University of Nottingham, Nottingham NG7 2UH, UK
- Correspondence: ; Tel.: +01-332-724-725
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11
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Su Y, Elshorbagy A, Turner C, Refsum H, Chan R, Kwok T. Circulating amino acids are associated with bone mineral density decline and ten-year major osteoporotic fracture risk in older community-dwelling adults. Bone 2019; 129:115082. [PMID: 31622772 PMCID: PMC6925590 DOI: 10.1016/j.bone.2019.115082] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/17/2019] [Revised: 09/17/2019] [Accepted: 09/26/2019] [Indexed: 11/18/2022]
Abstract
With aging, poor bone mineral density (BMD) and accelerated decrease in BMD are strong risk factors for fracture. Reports of the associations of dietary protein intake with bone strength are inconsistent, possibly owing to differences in protein sources and amino acid (AA) composition. We examined the associations of serum AA with 4-year hip BMD loss and subsequent fracture risk within 10 years in older community-dwelling adults, and further addressed whether lifestyle, dietary protein intake and its source, and body composition would affect the associations. In 1424 men and 1573 women (mean age 72 years), using binary logistic regression, higher serum valine, leucine, isoleucine and tryptophan concentrations were associated (or approaching a borderline significance in case of the last three ones) with less hip BMD decline (defined as BMD loss ≥ 2.8 times the precision error of the BMD measurement at femoral neck) in 4 years later, with the OR (95%CI) /SD of AA increase, ranging from 0.83 (0.75, 0.91) to 0.92 (0.87, 0.98) after multiple adjustments for baseline age, gender, BMI, BMD, estimated glomerular filtration rate (eGFR), dietary protein intake (animal- and plant-derived protein intakes), calcium intake, established lifestyles (physical activity level, smoking and alcohol drinking status), osteoporosis medications, and changes of body fat and lean muscle mass. Higher serum total homocysteine (tHcy) concentration was independently associated with BMD decline 4 years later (OR (95%CI) /SD of 1.16 (1.05, 1.27)). Using multivariate Cox regression, higher serum tryptophan concentration potentially predicted low risk of incident major osteoporotic fractures (MOFs) (HR/SD (95%CI)=0.86 (0.75, 0.98)) after multiple adjustments. Higher serum tHcy was associated with MOFs (HR/SD (95%CI)=1.29 (1.12, 1.50)) risk after multiple adjustments in men. These findings suggest that a specific AA profile correlates with greater BMD and lower subsequent fracture risk, independent of diet and lifestyle factors.
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Affiliation(s)
- Yi Su
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Amany Elshorbagy
- Department of Physiology, Faculty of Medicine, University of Alexandria, Alexandria, Egypt
| | - Cheryl Turner
- Department of Pharmacology, University of Oxford, Oxford, United Kingdom
| | - Helga Refsum
- Institute of Basic Medical Sciences, Department of Nutrition, University of Oslo, Oslo, Norway
| | - Ruth Chan
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Timothy Kwok
- Department of Medicine and Therapeutics, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China; Jockey Club Centre for Osteoporosis Care and Control, The Chinese University of Hong Kong, Hong Kong, China.
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12
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Solon-Biet SM, Cogger VC, Pulpitel T, Wahl D, Clark X, Bagley E, Gregoriou GC, Senior AM, Wang QP, Brandon AE, Perks R, O’Sullivan J, Koay YC, Bell-Anderson K, Kebede M, Yau B, Atkinson C, Svineng G, Dodgson T, Wali JA, Piper MDW, Juricic P, Partridge L, Rose AJ, Raubenheimer D, Cooney GJ, Le Couteur DG, Simpson SJ. Branched chain amino acids impact health and lifespan indirectly via amino acid balance and appetite control. Nat Metab 2019; 1:532-545. [PMID: 31656947 PMCID: PMC6814438 DOI: 10.1038/s42255-019-0059-2] [Citation(s) in RCA: 194] [Impact Index Per Article: 38.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 03/22/2019] [Indexed: 12/11/2022]
Abstract
Elevated branched chain amino acids (BCAAs) are associated with obesity and insulin resistance. How long-term dietary BCAAs impact late-life health and lifespan is unknown. Here, we show that when dietary BCAAs are varied against a fixed, isocaloric macronutrient background, long-term exposure to high BCAA diets leads to hyperphagia, obesity and reduced lifespan. These effects are not due to elevated BCAA per se or hepatic mTOR activation, but rather due to a shift in the relative quantity of dietary BCAAs and other AAs, notably tryptophan and threonine. Increasing the ratio of BCAAs to these AAs resulted in hyperphagia and is associated with central serotonin depletion. Preventing hyperphagia by calorie restriction or pair-feeding averts the health costs of a high BCAA diet. Our data highlight a role for amino acid quality in energy balance and show that health costs of chronic high BCAA intakes need not be due to intrinsic toxicity but, rather, a consequence of hyperphagia driven by AA imbalance.
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Affiliation(s)
- Samantha M Solon-Biet
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Victoria C Cogger
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
- Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord NSW, Australia
- ANZAC Research Institute, The University of Sydney NSW, Australia
| | - Tamara Pulpitel
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Devin Wahl
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
- Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord NSW, Australia
| | - Ximonie Clark
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Elena Bagley
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Medical Sciences, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Gabrielle C Gregoriou
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Medical Sciences, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Alistair M Senior
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Qiao-Ping Wang
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
- School of Pharmaceutical Sciences (Shenzhen), Sun Yat-Sen University, Guangzhou 510275, China
| | - Amanda E Brandon
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - Ruth Perks
- Charles Perkins Centre, The University of Sydney NSW, Australia
| | - John O’Sullivan
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Heart Research Institute, The University of Sydney, NSW, Australia
| | - Yen Chin Koay
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Heart Research Institute, The University of Sydney, NSW, Australia
| | - Kim Bell-Anderson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Melkam Kebede
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Belinda Yau
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Clare Atkinson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | | | - Timothy Dodgson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Jibran A Wali
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | | | - Paula Juricic
- Max Planck Institute for Biology of Aging, Cologne, Germany
| | | | - Adam J Rose
- Monash Biomedicine Discovery Institute, Monash University VIC, Australia
| | - David Raubenheimer
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
| | - Gregory J Cooney
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
| | - David G Le Couteur
- Charles Perkins Centre, The University of Sydney NSW, Australia
- Sydney Medical School, Faculty of Health and Medicine, The University of Sydney NSW, Australia
- Ageing and Alzheimers Institute and Centre for Education and Research on Ageing, Concord Hospital, Concord NSW, Australia
- ANZAC Research Institute, The University of Sydney NSW, Australia
| | - Stephen J Simpson
- Charles Perkins Centre, The University of Sydney NSW, Australia
- School of Life and Environmental Sciences, Faculty of Science, The University of Sydney, NSW, Australia
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