Body Composition

Vitamin (B1, B6, B12, D, and Folate) and Mineral (Iron, Selenium, and Magnesium) Status Across the Spectrum of Severe Obesity: An Integrative Multivariate Analysis of Metabolic and Nutritional Profiles.

TL;DR

Severe obesity is associated with distinct micronutrient depletion patterns that mirror metabolic deterioration, with vitamin D, folate, and vitamin B6 declining progressively with increasing BMI, and combined MASLD and T2DM associated with the most pronounced vitamin B6 depletion.

Key Findings

Vitamin D, folate, and vitamin B6 concentrations declined progressively with increasing BMI across the obesity spectrum.

  • The study analyzed adults with BMI ranging from 30 to 91 kg/m2 (mean 48.7 ± 8.7 kg/m2) evaluated before bariatric surgery
  • These three micronutrients were described as 'most notably' declining with increasing BMI
  • The decline was described as progressive across the adiposity continuum
  • The cohort was retrospective and single-center in design

Vitamin D inversely correlated with HbA1c in addition to its inverse association with BMI.

  • Vitamin D showed an additional inverse correlation with HbA1c beyond its association with increasing BMI
  • Vitamin D was described as 'low across metabolic subgroups', suggesting its deficiency was broadly distributed regardless of specific metabolic condition
  • This association suggests a link between vitamin D status and glycemic control in the severely obese population studied

Principal component analysis (PCA) revealed separation of participants with extreme obesity driven by anthropometric and hepatic parameters, with micronutrients clustering inversely.

  • PCA was applied to identify variables most strongly associated with BMI and metabolic phenotypes
  • Anthropometric and hepatic parameters drove the separation of extreme obesity participants in PCA space
  • Micronutrients clustered in a direction inverse to the anthropometric and hepatic variables
  • This suggests an opposing relationship between increasing adiposity/hepatic burden and micronutrient status

Random forest classification identified HbA1c, hepatic enzymes (ALAT and γ-GT), and body composition measures (waist circumference and visceral fat) as the strongest discriminators of T2DM, MASLD, and high BMI, respectively.

  • HbA1c was the strongest discriminator for type 2 diabetes mellitus (T2DM)
  • Hepatic enzymes ALAT and γ-GT were the strongest discriminators for metabolic dysfunction-associated steatotic liver disease (MASLD)
  • Waist circumference and visceral fat were the strongest discriminators for high BMI
  • Random forest classification was used alongside correlation analysis and PCA as part of an integrative multivariate analytic approach

Combined MASLD and T2DM was associated with the most pronounced vitamin B6 depletion among metabolic subgroups.

  • Participants with both MASLD and T2DM simultaneously showed the greatest degree of vitamin B6 depletion
  • Vitamin B6 depletion was more severe in this combined metabolic condition than in either MASLD or T2DM alone
  • Vitamin D, by contrast, was low across all metabolic subgroups rather than being specifically associated with the combined condition
  • These findings suggest that specific micronutrient deficits mirror the degree of metabolic deterioration

Data on individuals with severe obesity (BMI ≥ 50 kg/m2) with respect to micronutrient status were described as limited prior to this study.

  • The study specifically targeted the gap in knowledge about individuals with BMI ≥ 50 kg/m2
  • The cohort included participants up to BMI of 91 kg/m2, extending beyond most prior research populations
  • The study used bioimpedance-derived body composition and liver elastography (CAP and stiffness) in addition to standard laboratory parameters
  • Micronutrients assessed included vitamins B1, B6, B12, D, and folate, and minerals iron, selenium, and magnesium

Integrating nutritional and metabolic profiling enables refined risk stratification and may inform targeted supplementation strategies in individuals with severe obesity.

  • The authors note this conclusion is pending prospective validation
  • The study used a retrospective, single-center cohort design, which limits causal inference
  • The authors suggest that combining micronutrient and metabolic data allows for personalized nutritional management
  • The multivariate analytic framework (correlation analysis, PCA, and random forest) was central to enabling this risk stratification approach

What This Means

This research suggests that people with severe obesity — particularly those with a BMI of 50 or higher — show a consistent pattern of declining levels of certain vitamins and minerals as their weight increases. Specifically, vitamin D, folate (a B vitamin important for cell function), and vitamin B6 were found to decrease progressively as BMI rose. Vitamin D was low across virtually all patients regardless of whether they also had diabetes or liver disease, while vitamin B6 was particularly depleted in those who had both liver disease (MASLD) and type 2 diabetes at the same time. These findings come from a study of adults assessed before bariatric (weight-loss) surgery, with body weights ranging from moderately obese to extremely obese. The study also used advanced statistical techniques — including principal component analysis and random forest machine learning — to understand which measurements best identified different metabolic conditions. Blood sugar control (HbA1c) was most useful for identifying type 2 diabetes, liver enzymes best identified liver disease, and waist circumference along with visceral (belly) fat measurements best identified those with the highest BMIs. Together, these tools revealed that nutritional deficiencies and metabolic problems tend to worsen together as obesity becomes more severe. This research suggests that people with severe obesity should not be treated as a uniform group when it comes to nutritional assessment. Instead, combining information about their specific metabolic conditions (such as whether they have diabetes or liver disease) with micronutrient testing could help identify who is at greatest nutritional risk and who might benefit most from targeted vitamin or mineral supplementation. However, the authors caution that this was a retrospective study from a single center, and prospective studies are needed before these findings can be used to make specific clinical recommendations.

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Citation

Sabados H, Möwius S, Stern U, Michel M, Schattenberg J, Keller V. (2026). Vitamin (B1, B6, B12, D, and Folate) and Mineral (Iron, Selenium, and Magnesium) Status Across the Spectrum of Severe Obesity: An Integrative Multivariate Analysis of Metabolic and Nutritional Profiles.. Nutrients. https://doi.org/10.3390/nu18172938