Shyang-Rong Shih

Dr. Shyang-Rong Shih


Research Focus & Metrics

Academic Career Length

22Years (2005-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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15 May 2013 in Diabetes Care
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Journal Article
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WMWen-Ya Ma
Wen-Ya Ma
CYChung-Yi Yang
Chung-Yi Yang
SSShyang-Rong Shih
Shyang-Rong Shih
HHHong-Jen Hsieh
Hong-Jen Hsieh
CHChi Sheng Hung
Chi Sheng Hung
HLHUNG YUAN LI
HUNG YUAN LI
OBJECTIVE: Waist circumference (WC) is used to define central obesity. This study aimed to compare the performance of two recommended locations of WC measurement. RESEARCH DESIGN AND METHODS: A cohort of 1,898 subjects who were without diabetes from 2006 to 2012 were followed for a median of 31 months (Taiwan Lifestyle Study). The WC-IC, recommended by the National Cholesterol Education Program Third Adult Treatment Panel, was measured at the superior border of the iliac crest, and the WC-mid, recommended by World Health Organization and International Diabetes Federation, was measured midway between the lowest ribs and the iliac crest. The abdominal subcutaneous fat area (SFA) and visceral fat area (VFA) were assessed by computed tomography. RESULTS: There was greater difference between WC-IC and WC-mid measurements in women than in men (P < 0.001). Both WC-IC and WC-mid correlated significantly with BMI, VFA, and SFA (all P < 0.001). WC-mid was better correlated to VFA than WC-IC, particularly in women, and it correlated more strongly to blood pressure, plasma glucose, hemoglobin A1c, triglyceride levels, HDL cholesterol, and C-reactive protein (all P < 0.05). The association of WC-mid with hypertension, diabetes, and metabolic syndrome was slightly better than that of WC-IC (area under the receiver operator curve 0.7 vs. 0.69, 0.71 vs. 0.68, and 0.75 vs. 0.7, respectively; all age-adjusted P < 0.05). With 90 cm (male)/80 cm (female) as criteria for central obesity, WC-mid, but not WC-IC, predicted the incidence of diabetes development (age-adjusted P = 0.003). CONCLUSIONS: WC-mid is a better measurement to define central obesity than WC-IC, particularly in women.

1 November 2016 in Laboratory Investigation
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JLJen-Chieh Lee
Jen-Chieh Lee
SSSheng-Yao Su
Sheng-Yao Su
CCChun A Changou
Chun A Changou
RYRong-Sen Yang
Rong-Sen Yang
KTKeh-Sung Tsai
Keh-Sung Tsai
AFAndrew L Folpe
Andrew L Folpe

16 October 2014 in The Journal of Pathology
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Journal Article
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JLJen-Chieh Lee
Jen-Chieh Lee
YJYung-Ming Jeng
Yung-Ming Jeng
SSSheng-Yao Su
Sheng-Yao Su
YCYih-Leong Chang
Yih-Leong Chang
KTKeh-Sung Tsai
Keh-Sung Tsai
CLCHER-WEI LIANG
CHER-WEI LIANG

7 July 2015 in Nature Communications
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PCPei-Lung Chen
Pei-Lung Chen
SSShyang-Rong Shih
Shyang-Rong Shih
PWPei-Wen Wang
Pei-Wen Wang
YLYing-Chao Lin
Ying-Chao Lin
CCChen-Chung Chu
Chen-Chung Chu
TCTien-Chun Chang
Tien-Chun Chang
Graves’ disease is the leading cause of hyperthyroidism affecting 1.0–1.6% of the population. Antithyroid drugs are the treatment cornerstone, but may cause life-threatening agranulocytosis. Here we conduct a two-stage association study on two separate subject sets (in total 42 agranulocytosis cases and 1,208 Graves’ disease controls), using direct human leukocyte antigen genotyping and SNP-based genome-wide association study. We demonstrate HLA-B*38:02 (Armitage trend Pcombined=6.75 × 10−32) and HLA-DRB1*08:03 (Pcombined=1.83 × 10−9) as independent susceptibility loci. The genome-wide association study identifies the same signals. Estimated odds ratios for these two loci comparing effective allele carriers to non-carriers are 21.48 (95% confidence interval=11.13–41.48) and 6.13 (95% confidence interval=3.28–11.46), respectively. Carrying both HLA-B*38:02 and HLA-DRB1*08:03 increases odds ratio to 48.41 (Pcombined=3.32 × 10−21, 95% confidence interval=21.66–108.22). Our results could be useful for antithyroid-induced agranulocytosis and potentially for agranulocytosis caused by other chemicals.

17 February 2010 in IEEE Transactions on Biomedical Engineering
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Chuan-Yu ChangChuan-Yu Chang
Chuan-Yu Chang
YLYue-Fong Lei
Yue-Fong Lei
CTChin-Hsiao Tseng
Chin-Hsiao Tseng
SSShyang-Rong Shih
Shyang-Rong Shih
Physicians usually diagnose the pathology of the thyroid gland by its volume. However, even if the thyroid glands are found and the shapes are hand-marked from ultrasound (US) images, most physicians still depend on computed tomography (CT) images, which are expensive to obtain, for precise measurements of the volume of the thyroid gland. This approach relies heavily on the experience of the physicians and is very time consuming. Patients are exposed to high radiation when obtaining CT images. In contrast, US imaging does not require ionizing radiation and is relatively inexpensive. US imaging is thus one of the most commonly used auxiliary tools in clinical diagnosis. The present study proposes a complete solution to estimate the volume of the thyroid gland directly from US images. The radial basis function neural network is used to classify blocks of the thyroid gland. The integral region is acquired by applying a specific-region-growing method to potential points of interest. The parameters for evaluating the thyroid volume are estimated using a particle swarm optimization algorithm. Experimental results of the thyroid region segmentation and volume estimation in US images show that the proposed approach is very promising.

17 November 2014 in PLOS ONE
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Journal Article
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CHChi-Sheng Hung
Chi-Sheng Hung
JLJen-Kuang Lee
Jen-Kuang Lee
CYChung-Yi Yang
Chung-Yi Yang
HHHung-Ren Hsieh
Hung-Ren Hsieh
WMWen-Ya Ma
Wen-Ya Ma
HLHUNG YUAN LI
HUNG YUAN LI
Whether retroperitoneal fat should be included in the measurement of visceral fat remains controversial. We compared the relationships of fat areas in peritoneal, retroperitoneal, and subcutaneous compartments to metabolic syndrome, adipokines, and incident hypertension and diabetes. We enrolled 432 adult participants (153 men and 279 women) in a community-based cohort study. Computed tomography at the umbilicus level was used to measure the fat areas. Retroperitoneal fat correlated significantly with metabolic syndrome (adjusted odds ratio (OR), 5.651, p<0.05) and the number of metabolic abnormalities (p<0.05). Retroperitoneal fat area was significantly associated with blood pressure, plasma glycemic indices, lipid profile, C-reactive protein, adiponectin (r = −0.244, P<0.05), and leptin (r = 0.323, p<0.05), but not plasma renin or aldosterone concentrations. During the 2.94±0.84 years of follow-up, 32 participants developed incident hypertension. Retroperitoneal fat area (hazard ration (HR) 1.62, p = 0.003) and peritoneal fat area (HR 1.62, p = 0.009), but not subcutaneous fat area (p = 0.14) were associated with incident hypertension. Neither retroperitoneal fat area, peritoneal fat area, nor subcutaneous fat areas was associated with incident diabetes after adjustment. Retroperitoneal fat is similar to peritoneal fat, but differs from subcutaneous fat, in terms of its relationship with metabolic syndrome and incident hypertension. Retroperitoneal fat area should be included in the measurement of visceral fat for cardio-metabolic studies in human.