NCT06811363

Brief Summary

Identification of the mechanisms by which bone contributes to urine citrate could lead to alternative explanations for and approaches to hypocitraturia. This proposal to explore the role of bone in urine citrate addresses the mission of the CMMCR to discover new mechanisms and innovative therapies for diseases of mineral metabolism. The results will be used to apply for extramural funding to further examine the nonrenal regulation of UCit. Hypothesis: Serum citrate is a function of bone citrate formation dependent on both bone mass and bone turnover. 20 subjects with osteoporosis naïve to treatment will be identified to examine bone parameters that correlate with ΔUcit/Δk. Use of potent anti-osteoporotic therapies to increase the likelihood of identifying significant bone turnover and BMD correlations with ΔUcit/Uk will take place in this study. Plan to achieve the following aim:

  1. 1.Bone turnover marker at baseline
  2. 2.BMD at baseline
  3. 3.Change in bone turnover markers at 1 month and 6 months with each osteoporosis treatment modality (anti-resorptive agents such as Zoledronic acid or Denosumab, or the Anabolic agent Romosozumab)
  4. 4.Change in bone mineral density at 6 with each osteoporosis treatment modality (anti-resorptive agents such as Zoledronic acid or Denosumab, or the Anabolic agent Romosozumab)

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
25

participants targeted

Target at below P25 for all trials

Timeline
10mo left

Started Feb 2026

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress19%
Feb 2026Mar 2027

First Submitted

Initial submission to the registry

January 31, 2025

Completed
6 days until next milestone

First Posted

Study publicly available on registry

February 6, 2025

Completed
1.1 years until next milestone

Study Start

First participant enrolled

February 28, 2026

Completed
1 year until next milestone

Primary Completion

Last participant's last visit for primary outcome

March 1, 2027

Expected
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

March 1, 2027

Last Updated

February 17, 2026

Status Verified

February 1, 2026

Enrollment Period

1 year

First QC Date

January 31, 2025

Last Update Submit

February 13, 2026

Conditions

Keywords

naïve to treatmentbone massbone turnover

Outcome Measures

Primary Outcomes (5)

  • Correlation of change in Urine Citrate levels to change in Potassium levels with change in bone turnover markers at 1 month after initiating treatment

    Change in Urine Citrate levels to change in Potassium levels from the 24h urine samples is measured and will be correlated with baseline and post treatment bone turnover markers by multiple linear regression modeling using forward and backward selection.

    Baseline, 1month after initiating treatment

  • Correlation of change in Urine Citrate levels to change in Potassium levels with change in bone turnover markers at 6 months after initiating treatment

    Change in Urine Citrate levels to change in Potassium levels from the 24h urine samples is measured and will be correlated with baseline and post treatment bone turnover markers by multiple linear regression modeling using forward and backward selection.

    Baseline, 6 months after initiating treatment

  • Correlation of change in Urine Citrate levels to change in Potassium levels with bone densitometry at baseline

    Change in Urine Citrate levels to change in Potassium levels will be correlated with bone densitometry at lumbar spine, right hip, and radius

    Baseline

  • Correlation of change in Urine Citrate levels to change in Potassium levels with change in bone densitometry at 6 months after initiating treatment

    Change in Urine Citrate levels to change in Potassium levels will be correlated with change in bone densitometry at lumbar spine, right hip, and radius

    Baseline, 6 months after initiating treatment

  • K Cit load

    The AUC for citrate will be calculated from the serum and urine levels based on the assumption that oral K Cit is 100% absorbed to estimate hepatic uptake effect on filtered load. The fractional excretion of citrate (FeCit) will be calculated from hourly serum and urine creatinine and citrate levels (FeCit = (serum Cit x Urine Cr)/urine Cit x serum Cr) x 100. Differences in FeCit will be correlated with ΔUcit/Δk and will be used to discriminate changes in ΔUcit/Δk due to filtered load vs renal handling.

    Predose, 0.5, 1, 2, 3, 4 hours after drug administration in Phases 1, 2, 3

Study Arms (2)

Anti-resorptive agents use Group

Patients with osteoporosis naïve to treatment will initiate treatment with anti-resorptive agents (zoledronic acid or denosumab)

Other: Metabolic / prescribed dietOther: KCit Load (40 meq)Drug: Anti-resorptive agents

Anabolic agents use Group

Patients with osteoporosis naïve to treatment will initiate treatment with anabolic agents (romosozumab)

Other: Metabolic / prescribed dietOther: KCit Load (40 meq)Drug: Anabolic Agents

Interventions

Instructed diet (400 mg Ca, 800 mg P, 100 mEq Na) and two liters of distilled water daily for three days (equilibration period), followed by a constant standardized meal with the same composition of Ca, P, and Na for one day. After 240hr urine sample collection patient fasted the preceding evening except for 300 ml of distilled water at 9 pm and 11 pm. On test days, 600 ml distilled water given and fasting blood obtained.

Anabolic agents use GroupAnti-resorptive agents use Group

Potassium citrate load of 40meq will be given after fasting blood has been obtained

Anabolic agents use GroupAnti-resorptive agents use Group

Zoledronic acid or Denosumab (as prescribed by their physician)

Anti-resorptive agents use Group

Romosozumab (as prescribed by their physician)

Anabolic agents use Group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

Patients with osteoporosis

You may qualify if:

  • Osteoporosis naïve to treatment

You may not qualify if:

  • eGFR \< 60 ml/min
  • chronic diarrhea or gastrointestinal illness

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

UT Southwestern Medical Center

Dallas, Texas, 75390, United States

Location

MeSH Terms

Conditions

Osteoporosis

Interventions

Metabolic Networks and PathwaysAnabolic Agents

Condition Hierarchy (Ancestors)

Bone Diseases, MetabolicBone DiseasesMusculoskeletal DiseasesMetabolic DiseasesNutritional and Metabolic Diseases

Intervention Hierarchy (Ancestors)

MetabolismHormonesHormones, Hormone Substitutes, and Hormone AntagonistsPhysiological Effects of DrugsPharmacologic ActionsChemical Actions and Uses

Study Officials

  • Eleanor Lederer, MD

    University of Texas Southwestern Medical Center

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Professor

Study Record Dates

First Submitted

January 31, 2025

First Posted

February 6, 2025

Study Start

February 28, 2026

Primary Completion (Estimated)

March 1, 2027

Study Completion (Estimated)

March 1, 2027

Last Updated

February 17, 2026

Record last verified: 2026-02

Data Sharing

IPD Sharing
Will share

Individual participant data that underlie the results reported in this article, after deidentification (text, tables, figures, and appendices) for individual participant data meta-analysis.

Shared Documents
STUDY PROTOCOL
Time Frame
Beginning 9 months and ending 36 months following article publication.
Access Criteria
Investigators whose proposed use of the data has been approved by an independent review committee ("learned intermediary") identified for this purpose. After 36 months the data will be available in the University's data warehouse but without investigator support other than deposited metadata.

Locations