Nonsyndromic brachydactyly type D and type E mapped to 7p15 in healthy children and adults from the Jirel ethnic group in eastern Nepal

A Case of Soft Tissue Ossifications: A Case Report

CASE

A patient who had previously been diagnosed with fibrodysplasia ossificans progressiva was seen for hip pain and progressive soft tissue ossifications. Through a careful clinical examination, by which a subtype of brachydactyly was noted, the Albright hereditary osteodystrophy phenotype was recognized, and a new diagnosis of pseudopseudohypoparathyroidism was established. This paucisymptomatic condition often remains unidentified; however, its transmission can lead to more potentially serious diseases.

CONCLUSIONS

A careful diagnostic process, including physical examination, is essential. Even if advanced tests exist, small clinical findings can lead to the proper conclusion. In our case, a finger pointed us in the right direction.

Glycated Serum Protein Genetics and Pleiotropy with Cardiometabolic Risk Factors

Measurements of fasting glucose (FG) or glycated hemoglobin A1c (HbA1c) are two clinically approved approaches commonly used to determine glycemia, both of which are influenced by genetic factors. Obtaining accurate measurements of FG or HbA1c is not without its challenges, though. Measuring glycated serum protein (GSP) offers an alternative approach for assessing glycemia. The aim of this study was to estimate the heritability of GSP and GSP expressed as a percentage of total serum albumin (%GA) using a variance component approach and localize genomic regions (QTLs) that harbor genes likely to influence GSP and %GA trait variation in a large extended multigenerational pedigree from Jiri, Nepal (n = 1,800). We also performed quantitative bivariate analyses to assess the relationship between GSP or %GA and several cardiometabolic traits. Additive genetic effects significantly influence variation in GSP and %GA levels (p values: 1.15 × 10^-5 and 3.39 × 10^-5, respectively). We localized a significant (LOD score = 3.18) and novel GSP QTL on chromosome 11q, which has been previously linked to type 2 diabetes. Two common (MAF > 0.4) SNPs within the chromosome 11 QTL were associated with GSP (adjusted pvalue < 5.87 × 10^-5): an intronic variant (rs10790184) in the DSCAML1 gene and a 3'UTR variant (rs8258) in the CEP164 gene. Significant positive correlations were observed between GSP or %GA and blood pressure, and lipid traits (p values: 0.0062 to 1.78 × 10^-9). A significant negative correlation was observed between %GA and HDL cholesterol (p = 1.12 × 10^-5). GSP is influenced by genetic factors and can be used to assess glycemia and diabetes risk. Thus, GSP measurements can facilitate glycemic studies when accurate FG and/or HbA1c measurements are difficult to obtain. GSP can also be measured from frozen blood (serum) samples, which allows the prospect of retrospective glycemic studies using archived samples.

Axial quantitative ultrasound assessment of pediatric bone quality in eastern Nepal

This study presents quantitative ultrasonography (QUS) bone quality data for an underrepresented, south Asian pediatric population from Nepal. Data were collected as part of a longitudinal study of growth and development. This study offers normative data and documents the effect of stunting, wasting, and underweight on the bone properties measured by QUS.

INTRODUCTION

The purpose of this study was to (1) examine the bone quality of a rural, non-Western pediatric population using QUS, (2) explore variation in the trajectory of bone quality development between males and females, and (3) examine the impact of growth disruption(s) on bone quality.

METHODS

A cross-sectional study of 860 children and adolescents aged 5-18 years from the Jirel ethnic group in eastern Nepal was performed. The Sunlight Omnisense 7000P was used to assess bone quality of the distal 1/3 radius and midshaft tibia. WHO reference standards were used to assess growth disruptions of height, weight, and BMI.

RESULTS

QUS bone quality data for an underrepresented, non-Western pediatric population are presented for the radius and tibia. A sizable portion of the study participants were classified as stunted, wasted, and/or underweight. Despite this prevalence of growth disruption in the study sample, bone quality data conform to other documented populations with less growth disruption. Thus, this study offers normative data and documents the minimal effect of stunting, wasting, and underweight on the bone properties measured by QUS.

CONCLUSIONS

Non-Western pediatric populations are significantly underserved with regard to simple, non-invasive screening tools that may help identify developmental disorders and assess bone health. The children and adolescents examined here represent normal growth and development for an underrepresented south Asian population. While this work demonstrates that stunting, wasting, or underweight status at time of QUS assessment is not associated with poor bone quality, we do suggest that further study is needed to examine possible cumulative effects of persistent disruptions that may lead to compromised bone quality in later adolescence.

Quantitative physical activity assessment of children and adolescents in a rural population from Eastern Nepal

OBJECTIVES

We report cross-sectional, objectively measured physical activity data for 399 children and adolescents aged 6 to 18 years. We evaluated physical activity of children and adolescents, considered time spent in each activity intensity category, and explored the impact of growth disruption (stunting and wasting) on physical activity patterns.

METHODS

Participants wore an Actical (Mini-Mitter, Bend, OR) omnidirectional accelerometer for one week as part of their annual visit to the Jiri Growth Study. The percentage of time spent in standard activity intensities were computed using standard metabolic equivalents (METS) cutpoints and compared by chronological age, sex, and school versus non-school days.

RESULTS

Primary findings include (1) children are more active on non-school days and adolescents are more active during the school week; (2) Jirel children do not exhibit the reduction in physical activity that most Western populations experience during the transition from childhood to adolescence; and (3) Jirel children and adolescents routinely meet the suggested one hour/day MVPA threshold; (4) Stunting is prevalent and factors leading to this growth disruption may contribute to the amount of time in sedentary or light physical activity.

CONCLUSIONS

We report child and adolescent physical activity patterns from the Jirel population of eastern Nepal. In this rural context, children and adolescents are more active than populations reported from Western contexts. This key finding has important biomedical implications for the maintenance of healthy body composition, skeletal health, and other health traits.