Fangjian Guo

Dr. Fangjian Guo

UT Medical Branch at Galveston, Galveston, United States
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

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

Representative Publications

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1 August 2012 in JACC
Verified
Journal Article
Closed access
Fangjian GuoFangjian Guo
Fangjian Guo
DHDi He
Di He
WZWei Zhang
Wei Zhang
RWR. Grace Walton
R. Grace Walton

26 July 2013 in Obesity
Verified
Journal Article
Open access
PDF file
Fangjian GuoFangjian Guo
Fangjian Guo
DMDouglas R Moellering
Douglas R Moellering
WGW. Timothy Garvey
W. Timothy Garvey
Objective: To validate a Cardiometabolic Disease Staging (CMDS) system for assigning risk level for diabetes, and all‐cause and cardiovascular disease (CVD) mortality.Design and Methods: Two large national cohorts, CARDIA and NHANES III, were used to validate CMDS. CMDS: Stage 0: metabolically healthy; Stage 1: one or two metabolic syndrome risk factors [other than impaired fasting glucose (IFG)]; Stage 2: IFG or impaired glucose tolerance (IGT) or metabolic syndrome (without IFG); Stage 3: two of three (IFG, IGT, and/or metabolic syndrome); and Stage 4: type 2 diabetes mellitus/CVD.Results: In the CARDIA study, compared with Stage 0 metabolically healthy subjects, adjusted risk for diabetes exponentially increased from Stage 1 [hazard ratio (HR) 2.83, 95% confidence interval (CI): 1.76‐4.55], to Stage 2 (HR 8.06, 95% CI 4.91‐13.2), to Stage 3 (HR 23.5, 95% CI 13.7‐40.1) (P for trend <0.001). In NHANES III, both cumulative incidence and multivariable adjusted HRs markedly increased for both all‐cause and CVD mortality with advancement of the risk stage from Stages 0 to 4. Adjustment for body mass index (BMI) minimally affected the risks for diabetes and all‐cause/CVD mortality using CMDS.Conclusion: CMDS can discriminate a wide range of risk for diabetes, CVD mortality, and all‐cause mortality independent of BMI, and should be studied as a risk assessment tool to guide interventions that prevent and treat cardiometabolic disease.

6 September 2018 in Cancer
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Journal Article
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Fangjian GuoFangjian Guo
Fangjian Guo
YKYong‐Fang Kuo
Yong‐Fang Kuo
YSYa Chen Tina Shih
Ya Chen Tina Shih
SGSharon H. Giordano
Sharon H. Giordano
ABAbbey B. Berenson
Abbey B. Berenson

1 August 2018 in American Journal of Preventive Medicine
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Journal Article
Closed access
Fangjian GuoFangjian Guo
Fangjian Guo
LCLeslie E. Cofie
Leslie E. Cofie
ABAbbey B. Berenson
Abbey B. Berenson

1 January 2013 in Journal of Biological Chemistry
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Journal Article
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PAPhilomena Alapatt
Philomena Alapatt
Fangjian GuoFangjian Guo
Fangjian Guo
SKSusan M. Komanetsky
Susan M. Komanetsky
SWShuping Wang
Shuping Wang
JCJinjin Cai
Jinjin Cai
TGTimothy E. Graham
Timothy E. Graham
Vitamin A (retinol) is absorbed in the small intestine, stored in liver, and secreted into circulation bound to serum retinol-binding protein (RBP4). Circulating retinol may be taken up by extrahepatic tissues or recycled back to liver multiple times before it is finally metabolized or degraded. Liver exhibits high affinity binding sites for RBP4, but specific receptors have not been identified. The only known high affinity receptor for RBP4, Stra6, is not expressed in the liver. Here we report discovery of RBP4 receptor-2 (RBPR2), a novel retinol transporter expressed primarily in liver and intestine and induced in adipose tissue of obese mice. RBPR2 is structurally related to Stra6 and highly conserved in vertebrates, including humans. Expression of RBPR2 in cultured cells confers high affinity RBP4 binding and retinol transport, and RBPR2 knockdown reduces RBP4 binding/retinol transport. RBPR2 expression is suppressed by retinol and retinoic acid and correlates inversely with liver retinol stores in vivo. We conclude that RBPR2 is a novel retinol transporter that potentially regulates retinol homeostasis in liver and other tissues. In addition, expression of RBPR2 in liver and fat suggests a possible role in mediating established metabolic actions of RBP4 in those tissues.

1 June 2014 in Metabolic Syndrome and Related Disorders
Verified
Journal Article
Closed access
Fangjian GuoFangjian Guo
Fangjian Guo
DMDouglas R Moellering
Douglas R Moellering
WGW. Timothy Garvey
W. Timothy Garvey
Background: Glycated hemoglobin (HbA1c) has been advocated for the diagnosis of diabetes and prediabetes. Its performance has been commonly assessed in corroboration with elevated fasting plasma glucose (FPG), but not the combination of FPG and 2-hr glucose values. This study assesses receiver operating characteristics (ROC) curves of HbA1c pertaining to the diagnoses of prediabetes and diabetes by FPG and/or 2-hr glucose, and the effects of age, gender, and race. Methods: We assessed the utility of HbA1c for diagnosing diabetes and prediabetes among 5395 adults without known diabetes from the National Health and Nutrition Examination Survey (NHANES) 2005–2010. Results: Current cutoffs of HbA1c for diabetes (6.5%) or prediabetes (5.7%) exhibited low sensitivity (0.249 and 0.354, respectively) and high specificity in identifying patients diagnosed using both FPG and 2-hr glucose, resulting in large false-negative rates (75.1% and 64.9%). Misdiagnosis rates increased with age and in non-Hispanic whites and Mexican Americans. When HbA1c was combined with FPG for diagnoses, the false-negative rate remained high for diabetes (45.7%), but was reduced for prediabetes (9.2%). Conclusions: When assessed against diagnoses using both FPG and 2-hr glucose, HbA1c had low sensitivity and high specificity for identifying diabetes and prediabetes, which varied as a function of age and race. Regarding recently released American Diabetes Association (ADA) and joint European guidelines, it is important to consider that HbA1c values below 6.5% and 5.7% do not reliably exclude the presence of diabetes and prediabetes, respectively. Overall, the data argue for greater use of oral glucose tolerance tests (OGTTs) and both FPG and 2-hr glucose values for diagnosis of diabetes and prediabetes.