Publications by authors named "Shi-Di Hu"

Obesity is associated with various adverse health outcomes. Body fat (BF) distribution is recognized as an important factor of negative health consequences of obesity. Although metabolomics studies, mainly focused on body mass index (BMI) and waist circumference, have explored the biological mechanisms involved in the development of obesity, these proxy composite measures are not accurate and cannot reflect BF distribution, and thus may hinder accurate assessment of metabolic alterations and differential risk of metabolic disorders among individuals presenting adiposity differently throughout the body.

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An increasing number of epidemiological studies have suggested that birth weight (BW) may be a determinant of bone health later in life, although the underlying genetic mechanism remains unclear. Here, we applied a pleiotropic conditional false discovery rate (cFDR) approach to the genome-wide association study (GWAS) summary statistics for lumbar spine bone mineral density (LS BMD) and BW, aiming to identify novel susceptibility variants shared between these two traits. We detected 5 novel potential pleiotropic loci which are located at or near 7 different genes (NTAN1, PDXDC1, CACNA1G, JAG1, FAT1P1, CCDC170, ESR1), among which PDXDC1 and FAT1P1 have not previously been linked to these phenotypes.

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Background: Diabetes is a common chronic disease, and its global incidence is on the rise. The disease is directly attributed to insufficient insulin efficacy/secretion, and patients are often accompanied by multiple complications. Diabetic foot is one of the most common complications of diabetes.

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Strong relationships have been found between appendicular lean mass (ALM) and bone mineral density (BMD). It may be due to a shared genetic basis, termed pleiotropy. By leveraging the pleiotropy with BMD, the aim of this study was to detect more potential genetic variants for ALM.

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Context: Although metabolic profiles appear to play an important role in menopausal bone loss, the functional mechanisms by which metabolites influence bone mineral density (BMD) during menopause are largely unknown.

Objective: We aimed to systematically identify metabolites associated with BMD variation and their potential functional mechanisms in peri- and postmenopausal women.

Design And Methods: We performed serum metabolomic profiling and whole-genome sequencing for 517 perimenopausal (16%) and early postmenopausal (84%) women aged 41 to 64 years in this cross-sectional study.

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Objective: To establish a new method for rapid and quantitative measurement of orbital fat volume based on magnetic resonance imaging (MRI) data.

Methods: We collected MRI data from normalized mold and patients with the diagnosis of thyroid-associated ophthalmopathy (TAO). The cross-sectional areas of the orbital fat on each MR image slice were measured to calculate the fat volume on each slice and then the total orbital fat volume.

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Objective: To analyze the relationship between orbital fat volume and the progression and prognosis of thyroid- associated ophthalmopathy (TAO) and determine the optimal treatment timing for TAO.

Methods: The clinical data were collected from 35 patients (70 orbits) with a definite diagnosis of TAO between January, 2016 and December, 2016. The correlation between orbital fat volume and the clinical parameters was evaluated.

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