Skip to content
2000
Volume 22, Issue 1
  • ISSN: 1573-4056
  • E-ISSN: 1875-6603

Abstract

Background

Non-invasive biomarkers of liver metabolism are essential for early detection of metabolic alterations. Choline plays a central role in hepatic function, yet its dietary intake and imaging correlates remain underexplored. This study evaluated the feasibility of proton Magnetic Resonance Spectroscopy (1H-MRS) at 3T for hepatic choline quantification and examined its correlation with dietary intake in young women, a population at risk of nutrient-sensitive liver conditions.

Methods

In this prospective cohort study, 88 healthy female radiology students (mean age: 21.4 ± 1.8 years) underwent single-voxel 1H-MRS of the liver using a 3T Siemens Magnetom Vida scanner. Spectra were acquired with a point-resolved spectroscopy (PRESS) sequence (TR = 2000 ms, TE = 40 ms, voxel size = 20 × 20 × 20 mm3), with automated shimming and unsuppressed water referencing. Spectral analysis was performed using LCModel (v6.3), applying quality thresholds (Signal-to-Noise Ratio (SNR) > 5, linewidth < 0.1 ppm, Cramér–Rao Lower Bound (CRLB) < 20%. Hepatic choline concentrations were expressed in Institutional Units (IU). Dietary intake was assessed using a validated Food Frequency Questionnaire (FFQ).

Results

High-quality spectra were consistently obtained (mean SNR: 12.6 ± 3.1; linewidth: 0.048 ± 0.012 ppm). Mean hepatic choline concentration was 4.63 ± 1.21 IU, while mean dietary intake was 29.1 ± 8.7 mg/day. A significant positive correlation was observed (r = 0.555, < 0.001). Regression analysis confirmed dietary intake as a significant predictor (β = 0.56, R2 = 0.308, < 0.001).

Discussion

These findings demonstrate that ¹H MRS at 3T provides reproducible hepatic choline quantification and captures meaningful variability linked to dietary intake. The observed correlation highlights the potential of MRS as a translational biomarker of nutrient related liver metabolism. Integrating MRS into multiparametric liver imaging protocols may enhance early detection of metabolic alterations and broaden the scope of non-invasive liver assessment.

Conclusion

1H-MRS at 3T is a feasible and reproducible technique for hepatic choline quantification. By measuring metabolites directly in the liver at their site of production, rather than in circulation, where concentrations may be altered, MRS provides physiologically relevant insights into nutrient-related hepatic metabolism. Its correlation with dietary intake highlights its potential as a translational imaging biomarker for early detection and risk stratification of nutrient-sensitive liver conditions.

This is an open access article published under CC BY 4.0 https://creativecommons.org/licenses/by/4.0/legalcode
Loading

Article metrics loading...

/content/journals/cmir/10.2174/0115734056450482251124081010
2025-11-26
2026-02-21
Loading full text...

Full text loading...

/deliver/fulltext/cmir/22/1/CMIR-22-E15734056450482.html?itemId=/content/journals/cmir/10.2174/0115734056450482251124081010&mimeType=html&fmt=ahah

References

  1. CorbinK.D. ZeiselS.H. Choline metabolism provides novel insights into nonalcoholic fatty liver disease and its progression.Curr. Opin. Gastroenterol.201228215916510.1097/MOG.0b013e32834e7b4b22134222
    [Google Scholar]
  2. JiangX. WestA.A. CaudillM.A. Maternal choline status and metabolism during pregnancy: New insights from human and animal studies.Nutrients2021136214510.3390/nu13062145
    [Google Scholar]
  3. SherriffJ.L. O’SullivanT.A. ProperziC. OddoJ.L. AdamsL.A. Choline, its potential role in nonalcoholic fatty liver disease, and the case for human and bacterial genes.Adv. Nutr.20167151310.3945/an.114.00795526773011
    [Google Scholar]
  4. CorbinK.D. ZeiselS.H. Choline metabolism and implications for liver and brain health.Nutrients2021138255010.3390/nu1308255034444711
    [Google Scholar]
  5. WallaceT.C. BlusztajnJ.K. CaudillM.A. KlattK.C. NatkerE. ZeiselS.H. ZelmanK.M. The underconsumed and underappreciated essential nutrient.Nutr. Today201853624025310.1097/NT.000000000000030230853718
    [Google Scholar]
  6. WiedemanA.M. BarrS.I. GreenT.J. XuZ. InnisS.M. KittsD.D. Dietary choline across the life cycle: Current evidence and future directions.Nutrients2020128245110.3390/nu1208245132824065
    [Google Scholar]
  7. AriasN. ArboleyaS. AllisonJ. KaliszewskaA. HigarzaS.G. GueimondeM. AriasJ.L. The relationship between choline bioavailability from diet, intestinal microbiota composition, and its modulation of human diseases.Nutrients2020128234010.3390/nu1208234032764281
    [Google Scholar]
  8. WiedemanA. BarrS. GreenT. XuZ. InnisS. KittsD. Dietary choline intake: Current state of knowledge across the life cycle.Nutrients20181010151310.3390/nu1010151330332744
    [Google Scholar]
  9. EFSA Panel on Dietetic Products, Nutrition and Allergies (NDA). Dietary Reference Values for choline.EFSA J2016148448410.2903/j.efsa.2016.4484
    [Google Scholar]
  10. RomanoK.A. Martínez-del CampoA. KasaharaK. ChittimC.L. VivasE.I. Amador-NoguezD. BalskusE.P. ReyF.E. Metabolic, epigenetic, and transgenerational effects of gut bacterial choline consumption.Cell Host Microbe2017223279290.e710.1016/j.chom.2017.07.02128844887
    [Google Scholar]
  11. ZeiselS.H. MarM.H. HoweJ.C. HoldenJ.M. Concentrations of choline-containing compounds and betaine in common foods.J. Nutr.200313351302130710.1093/jn/133.5.130212730414
    [Google Scholar]
  12. Van ParysA. BrækkeM.S. KarlssonT. Assessment of dietary choline intake, contributing food items, and associations with one-carbon and lipid metabolites in middle-aged and elderly adults: The Hordaland Health Study.J. Nutr.2022152251352410.1093/jn/nxab36734643705
    [Google Scholar]
  13. DymekA. OleksyŁ. StolarczykA. BartosiewiczA. Choline-an underappreciated component of a mother-to-be’s diet.Nutrients20241611176710.3390/nu1611176738892700
    [Google Scholar]
  14. WallaceT.C. BlusztajnJ.K. CaudillM.A. KlattK.C. ZeiselS.H. Choline: The neurocognitive essential nutrient of interest to obstetricians and gynecologists.J. Diet. Suppl.202017673375210.1080/19390211.2019.163987531385730
    [Google Scholar]
  15. KorsmoH.W. JiangX. CaudillM.A. Choline: Exploring the growing science on its benefits for moms and babies.Nutrients2019118182310.3390/nu1108182331394787
    [Google Scholar]
  16. ZukE. NikrandtG. ChmurzynskaA. Dietary choline intake in European and non-european populations: Current status and future trends-A narrative review.Nutr. J.20242316810.1186/s12937‑024‑00970‑038943150
    [Google Scholar]
  17. Al-DaghriN.M. AljohaniN.J. Al-AttasO.S. Lifestyle-related risk factors.BMC Public Health202323112410.1186/s12889‑023‑15874‑9
    [Google Scholar]
  18. HolmP.I. UelandP.M. KvalheimG. LienE.A. Determination of choline, betaine, and dimethylglycine in plasma by a high-throughput method based on normal-phase chromatography-tandem mass spectrometry.Clin. Chem.200349228629410.1373/49.2.28612560353
    [Google Scholar]
  19. DeR.A. In vivo NMR spectroscopy: Principles and techniques.Hoboken, NJJohn Wiley & Sons2019
    [Google Scholar]
  20. El-NakeepS. FodaE. ShehaA.S. AbdelazeemS.M. MohamedG.A. Magnetic resonance spectroscopy as a diagnostic model for assessment of liver steatosis in metabolic dysfunction-associated steatotic liver disease in non-diabetic patients.Egypt. J. Radiol. Nucl. Med.202455118910.1186/s43055‑024‑01342‑8
    [Google Scholar]
  21. HamiltonG. MiddletonM.S. BydderM. YokooT. SchwimmerJ.B. KonoY. PattonH.M. LavineJ.E. SirlinC.B. Effect of PRESS and STEAM sequences on magnetic resonance spectroscopic liver fat quantification.J. Magn. Reson. Imaging200930114515210.1002/jmri.2180919557733
    [Google Scholar]
  22. LowG. FergusonC. LocasS. TuW. ManoleaF. SamM. WilsonM.P. Multiparametric MR assessment of liver fat, iron, and fibrosis: A concise overview of the liver “Triple Screen”.Abdom. Radiol.20234862060207310.1007/s00261‑023‑03887‑037041393
    [Google Scholar]
  23. McDonaldN. EddowesP.J. HodsonJ. SempleS.I.K. DaviesN.P. KellyC.J. KinS. PhillipsM. HerlihyA.H. KendallT.J. BrownR.M. NeilD.A.H. HübscherS.G. HirschfieldG.M. FallowfieldJ.A. Multiparametric magnetic resonance imaging for quantitation of liver disease: A two-centre cross-sectional observational study.Sci. Rep.201881918910.1038/s41598‑018‑27560‑529907829
    [Google Scholar]
  24. HawesaH. AlshahraniA. AlzahraniM. AlotaibiN. Advanced assessment of hepatic choline and lipid profiling via magnetic resonance spectroscopy among young Saudi women: unraveling metabolic dynamics and implications for health.Int J Biomedicine202414347848310.21103/Article14(3)_OA15
    [Google Scholar]
  25. FaulF. ErdfelderE. LangA.G. BuchnerA. G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences.Behav. Res. Methods200739217519110.3758/BF0319314617695343
    [Google Scholar]
  26. BefroyD.E. ShulmanG.I. Magnetic resonance spectroscopy studies of human metabolism.Diabetes20116051361136910.2337/db09‑091621525507
    [Google Scholar]
  27. SeiberlichN. GulaniV. Campbell-WashburnA. SourbronS. DonevaM.I. CalamanteF. Quantitative magnetic resonance imaging.Academic Press2020
    [Google Scholar]
  28. ZhangY. TaubE. SalibiN. UswatteG. MaudsleyA.A. SheriffS. WombleB. MarkV.W. KnightD.C. Comparison of reproducibility of single voxel spectroscopy and whole-brain magnetic resonance spectroscopy imaging at 3T.NMR Biomed.2018314e389810.1002/nbm.389829436038
    [Google Scholar]
  29. ReederS.B. CruiteI. HamiltonG. SirlinC.B. Quantitative assessment of liver fat with magnetic resonance imaging and spectroscopy.J. Magn. Reson. Imaging201134472974910.1002/jmri.2258022025886
    [Google Scholar]
  30. LowG. CheeR.K.W. WongY.J. TandonP. ManoleaF. LocasS. FergusonC. TuW. WilsonM.P. Abbreviated multiparametric MR solution (the “Liver Triple Screen”): The future of noninvasive MR quantification of liver fat, iron, and fibrosis.Diagnostics20241421237310.3390/diagnostics1421237339518341
    [Google Scholar]
  31. ValkovičL. GajdošíkM. ChmelíkM. KrššákM. MR spectroscopy of the liver.In: Encyclopedia of BiophysicsBerlin, HeidelbergSpringer202211810.1007/978‑3‑642‑35943‑9_10094‑1
    [Google Scholar]
  32. PasantaD. HtunK.T. PanJ. TungjaiM. KaewjaengS. KimH. KaewkhaoJ. KothanS. Magnetic resonance spectroscopy of hepatic fat: From fundamental to clinical applications.Diagnostics202111584210.3390/diagnostics1105084234067193
    [Google Scholar]
  33. HaleyA.P. Knight-ScottJ. Proton magnetic resonance spectroscopy (¹H MRS): A practical guide for the clinical neuroscientist.In: Brain Imaging in Behavioral Medicine and Clinical NeuroscienceNew York, NYSpringer2010839110.2337/db09‑0916
    [Google Scholar]
  34. EftekhariZ. ShawT.B. DeelchandD.K. MarjańskaM. BognerW. BarthM. Reliability and reproducibility of metabolite quantification using 1H MRS in the human brain at 3T and 7T.NMR Biomed.2025388e7008710.1002/nbm.7008740625112
    [Google Scholar]
/content/journals/cmir/10.2174/0115734056450482251124081010
Loading
/content/journals/cmir/10.2174/0115734056450482251124081010
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test