Animal studies have found that vitamin K-dependent proteins matrix Gla protein and osteocalcin beneficially influence lipid and glucose metabolism, respectively. However, this concept has not been tested in humans at risk for dyslipidemia and diabetes risk. Vitamin K supplementation presents an opportunity to test the hypothesized link between the vitamin K-dependent proteins and markers of lipid and glucose metabolism. The investigators will conduct an 8-week vitamin K intervention (to manipulate carboxylation of matrix Gla protein and osteocalcin) and determine its effects on markers of dyslipidemia and diabetes risk. Sixty obese children will be randomly allocated to either the control group receiving placebo or the low-dose (45 mcg/d) or high-dose group (90 mcg/d) receiving vitamin K (menaquinone-7).

Inclusion Criteria:

• Age 8 to 17 years
• Body mass index equal to or greater than 85th percentile for age and sex
• Subject and parent/guardian understands the study protocol and agrees to comply with it
• Informed Consent Form signed by the parent/guardian and assent signed by the subject

Exclusion Criteria:

• Subjects using vitamin supplements containing vitamin k
• Subjects with (a history of) metabolic or gastrointestinal diseases including hepatic disorders
• Subjects presenting chronic degenerative and/or inflammatory diseases
• Subjects receiving systemic treatment or topical treatment likely to interfere with evaluation of the study parameters (salicylates, antibiotics)
• Subjects receiving corticosteroid treatment
• Subjects using oral anticoagulants
• Subjects with a history of soy allergy
• Subjects who have participated in a clinical study more recently than one month before the current study

1. Approximate date of when the data will be shared? 2019-06-28
2. Where will the data be made available? The de-identified data will be made available for research purposes only by contacting the principal investigator.
3. Please explain any limits to data sharing that might be required. Even though the final research data will be stripped of identifiers prior to release for sharing, the investigators believe that there remains the possibility of deductive disclosure of subjects with unusual characteristics. Thus, the investigators will make the data available to users only under a data-sharing agreement that provides for: (1) a commitment to using the data only for research purposes and not to identify any individual participant; (2) a commitment to securing the data using appropriate computer technology; and (3) a commitment to destroying or returning the data after analyses are completed.