| Title |
Osteocalcin and serum insulin-like growth factor-1 as biochemical skeletal maturity indicators
|
|---|---|
| Published in |
Progress in Orthodontics, October 2017
|
| DOI | 10.1186/s40510-017-0184-y |
| Pubmed ID | |
| Authors |
Tulika Tripathi, Prateek Gupta, Priyank Rai, Jitender Sharma, Vinod Kumar Gupta, Navneet Singh |
| Abstract |
With change in concepts of growth determination methods, there is a surge in the measurement of biomarkers for appraisal of growth status. Osteocalcin is a bone-specific protein and was observed to parallel the normal growth curve. Hence, the present study was intended to assess the levels of serum osteocalcin and serum insulin-like growth factor-1 (IGF-1) and compare them with cervical vertebral maturation index (CVMI) stages. The cross-sectional study was performed on 150 subjects (75 males and 75 females) in the age group of 8-20 years and segregated into six CVMI stages. Serum osteocalcin and IGF-1 were estimated by ELISA. Mann-Whitney U test was used to compare the mean ranks of serum osteocalcin and serum IGF-1 with different CVMI stages. Spearman correlation was performed to find association between serum osteocalcin and serum IGF-1 across six CVMI stages. Peak serum IGF-1 levels were obtained at CVMI stages 4 and 3 for males and females, respectively, with insignificant difference between stages 3 and 4 in females. Peak serum osteocalcin levels were found at stage 5 and 3 for males and females with insignificant difference from other stages except stages 5 and 6 in males. A statistically significant correlation was seen between serum IGF-1 and serum osteocalcin across six CVMI stages (P < 0.01). Osteocalcin followed IGF-1 across all CVMI stages but showed insignificant interstage differences. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| South Africa | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 15% |
| Student > Bachelor | 7 | 15% |
| Student > Postgraduate | 5 | 10% |
| Researcher | 4 | 8% |
| Student > Doctoral Student | 2 | 4% |
| Other | 9 | 19% |
| Unknown | 14 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 42% |
| Nursing and Health Professions | 3 | 6% |
| Biochemistry, Genetics and Molecular Biology | 3 | 6% |
| Agricultural and Biological Sciences | 2 | 4% |
| Environmental Science | 1 | 2% |
| Other | 4 | 8% |
| Unknown | 15 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 03 October 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from Progress in Orthodontics
#159
of 255 outputs
Outputs of similar age
#242,316
of 331,926 outputs
Outputs of similar age from Progress in Orthodontics
#5
of 10 outputs
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