Evidence map›Paper›PMID 31212033›Full record

ArticleBone2019

Quantifying RANKL and OPG levels in healthy children: A large cross-sectional analysis.

Sara Akhtar Ali, Harsimar Kang, Robert Olney, Leigh Ramos-Platt, Anna Ryabets-Lienhard, Senta Georgia, Pisit Pitukcheewanont

Open access · greenAbstract read
In one paragraph

Article in Bone, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. LMS-based continuous pediatric reference values for soluble receptor activator of nuclear factor kappa B ligand (sRANKL) and osteoprotegerin (OPG) in the HARP cohort.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2024
    Article
  5. Article
  6. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 2 countries.

Sara Akhtar AliCenter For Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles (CHLA), United States of America. Electronic address: saakhtar@chla.usc.edu.
Harsimar KangUniversity of Southern California, United States of America.
Robert OlneyDivision of Endocrinology, Nemour Children's Hospital, Jacksonville, FL, United States of America.
Leigh Ramos-PlattCenter For Neurology, CHLA, United States of America.
Anna Ryabets-LienhardCenter For Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles (CHLA), United States of America.
Senta GeorgiaSaban Research Institute, CHLA, United States of America; Diabetes & Obesity Program, Center for Endocrinology, Diabetes and Metabolism, CHLA and Keck School of Medicine of USC, United States of America.
Pisit PitukcheewanontCenter For Endocrinology, Diabetes and Metabolism, Children's Hospital Los Angeles (CHLA), United States of America.
Children's Hospital of Los Angeles · USDiabetes Australia · AUNemours Children’s Clinic · USUniversity of Southern California · US

Funding

Southern California Clinical and Translational Science InstituteUL1TR001855 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Thomas A Buchanan, Michele D. Kipke · 2016 to 2026
$81.3M
Southern California Clinical and Translational Science InstituteUL1TR000130 · NCATS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BUCHANAN, THOMAS A · 2012 to 2015
$36.0M
NCATS NIH HHS UL1 TR000130NCATS NIH HHS UL1 TR001855
6 · The paper itself

Abstract

backgroundThere have been new advances in understanding bone remodeling on a molecular level including the RANKL-OPG pathway, leading to advancements in targeted therapeutic intervention. There is however limited data in pediatrics with little known on normative values in healthy children. This is the largest cohort to quantify RANKL, OPG, and RANKL: OPG levels in healthy children as well as study the influence of age, gender, Tanner stage, and BMI in this population.

methodsHealthy subjects, 1-21 years of age, were recruited from general pediatric clinics affiliated with CHLA and in collaboration with samples stored from a previously completed study. Healthy children were defined as those with no chronic disease, daily medication, or fractures in the past six months. Free soluble RANKL and OPG levels were quantified using a sandwich ELISA.

resultsThree hundred samples were collected with overall serum concentrations of RANKL, OPG and RANKL: OPG of 0.28 pmol/L, 3.56 pmol/L and 0.08 pmol/L, respectively. Serum RANKL and RANKL: OPG concentrations were significantly different by age (p = 0.0001 and 0.0027, respectively). There was an overall downward trend by age except in the 11-15-year age group where a slight increase was noted. RANKL concentrations were also significantly different between Tanner stages, with highest concentrations seen at Tanner 3 (p = 0.0481), and zBMI (p = 0.001). OPG was inversely correlated with zBMI, but not influenced by gender, age, or Tanner stage.

conclusionWe showed significant difference in RANKL levels by age, Tanner stage, and zBMI. OPG was inversely correlated with zBMI. Insight into circulating levels of RANKL, OPG and RANKL: OPG in healthy children may be a potential tool to better understand disease states in pediatrics. Future studies are needed to evaluate the clinical significance of RANKL and OPG levels for diagnostic and therapeutic purposes in this population.

Indexed as

AdolescentChildChild, PreschoolCross-Sectional StudiesFemaleHumansInfantMaleOsteoprotegerinRANK LigandYoung AdultOsteoprotegerinRANK LigandObesityOPGPediatric osteoporosisPubertyRANK ligand

Identifiers

PMID31212033
PMCPMC10491732
OpenAlexW2950155156

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.