Literature DB >> 34887669

Relationship Between Fibroblast Growth Factor 19 and Diabetic Retinopathy in Patients with Type 2 Diabetes Mellitus.

Jin Ook Chung1, Seon-Young Park2, Dong Hyeok Cho1, Dong Jin Chung1, Min Young Chung1.   

Abstract

AIM: This study aimed to evaluate whether fibroblast growth factor 19 (FGF19) is associated with the risk of diabetic retinopathy in patients with type 2 diabetes mellitus (T2DM).
METHODS: A total of 357 patients with T2DM were investigated in this cross-sectional study. Logistic regression analysis was performed to assess the association between FGF19 level and diabetic retinopathy.
RESULTS: Serum FGF19 level was significantly lower in patients with diabetic retinopathy in those without diabetic retinopathy. The multivariable analysis revealed a significant association between serum FGF19 level and diabetic retinopathy (odds ratio for every 1 standard deviation increase in logarithmic value = 0.69, 95% confidence interval 0.51-0.94, p = 0.019).
CONCLUSION: Serum FGF19 level was negatively associated with diabetic retinopathy in patients with T2DM.
© 2021 Chung et al.

Entities:  

Keywords:  diabetic retinopathy; fibroblast growth factor 19; type 2 diabetes mellitus

Year:  2021        PMID: 34887669      PMCID: PMC8650768          DOI: 10.2147/DMSO.S339954

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

Diabetic retinopathy is a common vision-threatening disease involving the retina in patients with diabetes mellitus.1 Apart from its influence on visual impairment, a large body of evidence has demonstrated that diabetic retinopathy is linked to increased risks of systemic vascular events leading to heart failure, coronary artery disease, and stroke, as well as increased mortality in patients with type 2 diabetes mellitus (T2DM).2,3 Moreover, diabetic retinopathy may reduce the quality of life and cause the functional impairments in patients with T2DM.4 Although extensive evidence indicates that chronic hyperglycemia predominantly contributes to the pathogenesis of diabetic retinopathy, it is implausible that diabetic retinopathy arises from hyperglycemia alone, and it is believed that more than a single factor may be involved in its pathogenesis.1 Fibroblast growth factor 19 (FGF19) is a newly identified member of the FGF family that lacks in a classic heparin-binding domain.5 Due to this characteristic, FGF19 is secreted into the bloodstream and has hormone-like effects through the activation of FGF receptors with beta-klotho as a cofactor, unlike other classic FGFs that function in a paracrine manner via a direct interaction with heparin/heparin sulfate.5,6 Previous studies have reported a negative association between FGF19 level and cardiovascular disease risk.7,8 In experimental studies, FGF19 increased the energy expenditure and prevented the development of diabetes in rodent models.9,10 Recent clinical studies have demonstrated an inverse association between FGF19 level and the risk of diabetes.11,12 In addition, FGF19 was reported to have protective effects against retinal degeneration in other experimental studies.13,14 However, it remains unclear whether FGF19 plays a role in the development of diabetic retinopathy. To our knowledge, the relationship between FGF19 level and diabetic retinopathy in patients with T2DM has not been reported to date. The purpose of this study was to investigate the relationship between FGF19 level and diabetic retinopathy in patients with T2DM.

Methods

Patients

This cross-sectional study included a total of 357 randomly chosen patients with T2DM who visited the diabetes clinic of our hospital between June 2017 and January 2019. The diagnosis of T2DM was made according to “Report of the Expert Committee on the Diagnosis and Classification of Diabetes Mellitus”.15 Patients with chronic liver diseases, biliary system disorders, thyroid dysfunction, infection or inflammatory disorders, use of glucocorticoids or bile acid sequestrants, advanced renal dysfunction (estimated glomerular filtration rate [eGFR] <60 mL/min/1.73 m2), stroke, coronary artery disease, heart failure, or malignant disease were excluded. Clinical data on the duration of diabetes, medical history, and other health conditions were collected through standardized forms. Hypertension was defined as a blood pressure of ≥140/90 mmHg or the use of antihypertensive drugs. Hyperlipidemia was defined as a total cholesterol level of ≥6.5 mmol/L and/or a triglyceride level of  ≥2.3 mmol/L, or the use of lipid-lowering agents. This study was approved by an ethics committee of Chonnam National University Hospital (No. CNUH-2016-170). All participants provided written informed consent. The study was performed according to the Declaration of Helsinki guidelines.

Measurements

After an overnight fast, venous blood samples were collected from the patients. A lipid profile test, including triglycerides, high-density lipoprotein cholesterol, total cholesterol, and low-density lipoprotein cholesterol, was performed using an AU5400 device (Olympus, Tokyo, Japan). We measured the fibrinogen level using a coagulation analyzer (Sysmex, IL, USA). The measurement of the glycated hemoglobin (HbA1c) level was performed using an ion-exchange liquid chromatography system (Tosoh, Tokyo, Japan). We measured the serum FGF19 level by a sandwich enzyme-linked immunosorbent assay (ELISA) (FGF19 Quantikine® ELISA kit, R&D Systems, Minneapolis, MN, USA), according to the instructions of the manufacturer. The inter-assay and intra-assay coefficients of variation were 6.5% and 5.4%, respectively. We assessed eGFR using the Chronic Kidney Disease Epidemiology Collaboration equation.16 We estimated urinary albumin excretion based on the urinary albumin-to-creatinine ratio (UACR) in random urine samples. Fundus examination with pupil dilation was performed by an ophthalmologist to screen for diabetic retinopathy. The patients were classified into the no diabetic retinopathy, nonproliferative diabetic retinopathy (NPDR), and proliferative diabetic retinopathy (PDR) groups. NPDR or PDR was defined as diabetic retinopathy in this study. The internal validity of the grading process of retinal photographs was assessed in 64 randomly chosen cases by reclassifying them in a masked manner. The intrarater repeatability kappa value was 0.93, implying good reliability.

Statistical Analyses

The sample size was determined to detect a medium effect size (d) of 0.5 with α of 0.05 and a power of 90%. Using G*Power 3.1.9.2,17 the sample size was computed for a 1:3 ratio of retinopathy/no retinopathy using a two-tailed test. The estimated total sample size was 228, and a minimum of 57 patients with diabetic retinopathy would detect a difference in FGF19 level. The results are expressed as mean ± standard deviation (SD) or median (interquartile range), unless otherwise indicated. The chi-square test was used to evaluate differences in categorical variables. The Mann–Whitney U-test or Student’s t-test was used for comparisons between two groups, as appropriate. The patients were categorized based on serum FGF19 tertiles (<101.3, 101.3–178.3 and ≥178.3 pg/mL). The analysis of variance (ANOVA) test or Kruskal–Wallis test was used to evaluate differences across the FGF19 tertiles for continuous variables. To examine the association between FGF19 level and retinopathy, we performed multivariable analyses using logistic regression models with identified factors and formerly known risk factors. Data with skewed distributions were logarithmically transformed before the analysis. On account of the skewed distribution of FGF19 levels, the odds ratio (OR) was calculated for every 1 SD increase in the logarithmic value of FGF19 level. Data analyses were performed using SPSS 20.0 (SPSS, Chicago, IL, USA). For statistical tests, an α level of 0.05 was used.

Results

The characteristics of patients with T2DM are presented in Table 1. Patients with diabetic retinopathy had a longer duration of diabetes, higher HbA1c level, higher UACR, higher fibrinogen level, and higher prevalence of insulin use than those without diabetic retinopathy. Serum FGF19 level was significantly lower in patients with diabetic retinopathy in those without diabetic retinopathy (104.7 [71.0–170.1] pg/mL vs 131.1 [92.6–200.1], respectively; p = 0.010) (Table 1). Serum FGF19 level was comparable between different stages of diabetic retinopathy (98.6 [69.4–155.0] pg/mL for NPDR [n = 53] vs 116.6 [77.6–196.2] pg/mL for PDR groups [n = 24], respectively; p = 0.262).
Table 1

Characteristics of Patients with T2DM

Diabetic Retinopathy (-)Diabetic Retinopathy (+)p-value
n28077
Age (years)56.8 ± 11.357.4 ± 11.20.690
Men (%)142 (50.7)41 (53.2)0.694
Hypertension, n (%)159 (56.8)51 (66.2)0.136
Hyperlipidemia, n (%)167 (59.6)44 (57.1)0.693
Body mass index (kg/m2)26.2 ± 4.225.1 ± 4.30.040
Duration of diabetes (years)2.0 (0.2–8.8)11.0 (4.5–20.0)<0.001
Systolic BP (mmHg)133.6 ± 17.9134.6 ± 15.80.640
Diastolic BP (mmHg)78.3 ± 12.178.6 ± 11.20.847
HbA1c (%)7.5 ± 1.78.3 ± 1.7<0.001
HbA1c (mmol/mol)58 ± 1967 ± 18<0.001
Triglycerides (mmol/L)1.3 (1.0–2.0)1.4 (1.0–2.0)0.976
LDL-C (mmol/L)2.6 ± 0.82.5 ± 0.80.113
HDL-C (mmol/L)1.3 ± 0.31.2 ± 0.30.434
Total cholesterol (mmol/L)4.4 ± 1.14.2 ± 1.10.158
UACR (mg/g Cr)11.1 (6.8–27.0)21.3 (10.4–65.8)<0.001
UACR ≥ 30 mg/g Cr, n (%)64 (22.9)31 (40.3)0.002
eGFR (mL/min/1.73m2)98.1 ± 14.194.9 ± 16.40.090
Fibrinogen (μmol/L)8.6 (7.6–10.0)9.2 (8.3–10.5)0.016
FGF19 (pg/mL)131.1 (92.6–200.1)104.7 (71.0–170.1)0.010
Use of OHAs, n (%)166 (59.3)43 (55.8)0.587
Use of insulin, n (%)28 (10.0)22 (28.6)<0.001

Notes: Values are expressed as mean ± standard deviation or median (interquartile range). Statistical analysis was performed using the Mann-Whitney U-test, Student’s t-test, or the chi-square test.

Abbreviations: T2DM, type 2 diabetes mellitus; BP, blood pressure; HbA1c, glycated hemoglobin; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; UACR, urinary albumin-to-creatinine ratio; eGFR, estimated glomerular filtration rate; FGF19, fibroblast growth factor 19; OHAs, oral hypoglycemic agents.

Characteristics of Patients with T2DM Notes: Values are expressed as mean ± standard deviation or median (interquartile range). Statistical analysis was performed using the Mann-Whitney U-test, Student’s t-test, or the chi-square test. Abbreviations: T2DM, type 2 diabetes mellitus; BP, blood pressure; HbA1c, glycated hemoglobin; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; UACR, urinary albumin-to-creatinine ratio; eGFR, estimated glomerular filtration rate; FGF19, fibroblast growth factor 19; OHAs, oral hypoglycemic agents. The patients were classified into three groups according to serum FGF19 level. Table 2 shows the characteristics of the patients according to the FGF19 tertile. Body mass index decreased and LDL-C increased across FGF19 tertiles. The prevalence of diabetic retinopathy decreased with increasing tertiles of FGF19 level.
Table 2

Characteristics of Patients with T2DM According to Serum FGF19 Tertiles

Serum FGF19 Level (pg/mL)Tertile 1 (<98.5)Tertile 2 (98.5–167.4)Tertile 3 (≥167.4)p-value
n119119119
Age (years)55.3 ± 11.657.4 ± 10.258.1 ± 11.80.140
Men (%)62 (52.1)61 (51.3)60 (50.4)0.967
Hypertension, n (%)70 (58.8)66 (55.5)74 (62.2)0.574
Hyperlipidemia, n (%)72 (60.5)68 (57.1)71 (59.7)0.860
Body mass index (kg/m2)27.0 ± 4.425.6 ± 4.325.4 ± 3.90.006
Duration of diabetes (years)4.0 (0.4–11.0)4.0 (0.2–10.0)3.0 (0.2–10.0)0.831
Systolic BP (mmHg)132.8 ± 14.7133.3 ± 16.5135.3 ± 20.60.490
Diastolic BP (mmHg)78.2 ± 11.177.9 ± 11.079.0 ± 13.50.788
HbA1c (%)7.7 ± 1.67.9 ± 2.07.4 ± 1.60.056
HbA1c (mmol/mol)60 ± 1763 ± 2257 ± 170.056
Triglycerides (mmol/L)1.4 (1.0–2.0)1.3 (1.0–2.0)1.3 (1.0–2.0)0.822
LDL-C (mmol/L)2.5 ± 0.72.6 ± 0.82.7 ± 0.90.036
HDL-C (mmol/L)1.3 ± 0.41.3 ± 0.31.3 ± 0.30.712
Total cholesterol (mmol/L)4.2 ± 1.04.4 ± 1.14.5 ± 1.20.055
UACR (mg/g Cr)11.9 (7.0–29.8)12.6 (7.2–31.2)13.7 (7.3–43.5)0.807
UACR ≥ 30 mg/g Cr, n (%)29 (24.4)31 (26.1)35 (29.4)0.669
eGFR (mL/min/1.73m2)98.2 ± 15.797.8 ± 13.296.1 ± 15.00.490
Fibrinogen (μmol/L)8.8 (7.7–10.2)8.6 (7.7–9.9)9.1 (7.8–10.4)0.255
FGF19 (pg/mL)74.1 (59.6–90.1)122.0 (111.8–143.5)245.1 (197.6–318.5)<0.001
Diabetic retinopathy, n (%)35 (29.4)23 (19.3)19 (16.0)0.032
Use of OHAs, n (%)77 (64.7)60 (50.4)72 (60.5)0.071
Use of insulin, n (%)20 (16.8)17 (14.3)13 (10.9)0.423

Notes: Values are expressed as mean ± standard deviation or median (interquartile range). Statistical analysis was performed using the analysis of variance test, Kruskal–Wallis test, or the chi-square test.

Abbreviations: T2DM, type 2 diabetes mellitus; BP, blood pressure; HbA1c, glycated hemoglobin; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; UACR, urinary albumin-to-creatinine ratio; eGFR, estimated glomerular filtration rate; FGF19, fibroblast growth factor 19; OHAs, oral hypoglycemic agents.

Characteristics of Patients with T2DM According to Serum FGF19 Tertiles Notes: Values are expressed as mean ± standard deviation or median (interquartile range). Statistical analysis was performed using the analysis of variance test, Kruskal–Wallis test, or the chi-square test. Abbreviations: T2DM, type 2 diabetes mellitus; BP, blood pressure; HbA1c, glycated hemoglobin; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; UACR, urinary albumin-to-creatinine ratio; eGFR, estimated glomerular filtration rate; FGF19, fibroblast growth factor 19; OHAs, oral hypoglycemic agents. We evaluated the association between serum FGF19 level and diabetic retinopathy in patients with T2DM using logistic regression models (Table 3). The significant association between serum FGF19 level and diabetic retinopathy persisted (OR per 1 SD increase in logarithmic value = 0.69, 95% CI 0.51–0.94, p = 0.019) after adjusting for age, sex, body mass index, hypertension, hyperlipidemia, fibrinogen, HbA1c, diabetes duration, eGFR, UACR, and use of insulin and OHAs (model 2). Alternatively, when UACR treated as categorical variable (UACR ≥ 30 mg/g vs UACR < 30 mg/g) was included as an independent variable in the model (model 2) instead of UACR treated as a continuous variable, serum FGG19 level was still associated with diabetic retinopathy (OR per 1 SD increase in logarithmic value = 0.70, 95% CI 0.52–0.95, p = 0.020).
Table 3

Logistic Regression Model of the Association Between FGF19 Level and Diabetic Retinopathy in Patients with T2DM

FGF19(pg/mL)Diabetic Retinopathy
Odd Ratio95% Confidence Intervalp-value
Unadjusted0.750.58–0.970.030
Model 10.700.54–0.920.010
Model 20.690.51–0.940.019

Notes: †Values were logarithmically transformed before the analysis. Model 1: adjusted for age, sex, and body mass index. Model 2: model 1 plus hypertension, fibrinogen†, hyperlipidemia, glycated hemoglobin, diabetes duration†, eGFR, UACR†, and use of insulin and oral hypoglycemic agents.

Abbreviations: FGF19, fibroblast growth factor 19; T2DM, type 2 diabetes mellitus.

Logistic Regression Model of the Association Between FGF19 Level and Diabetic Retinopathy in Patients with T2DM Notes: †Values were logarithmically transformed before the analysis. Model 1: adjusted for age, sex, and body mass index. Model 2: model 1 plus hypertension, fibrinogen†, hyperlipidemia, glycated hemoglobin, diabetes duration†, eGFR, UACR†, and use of insulin and oral hypoglycemic agents. Abbreviations: FGF19, fibroblast growth factor 19; T2DM, type 2 diabetes mellitus.

Discussion

We investigated the association between serum FGF19 level and diabetic retinopathy in patients with T2DM in this study. After adjustment for conventional risk factors including HbA1c, duration of diabetes, and hypertension, serum FGF19 level was significantly and negatively associated with diabetic retinopathy, although it was not correlated with the severity of diabetic retinopathy. Recently, FGF19 has gained attention as a metabolic regulator.6 Although the production of FGF19 largely occurs in the epithelium of the small intestine, it is expressed in nearly all tissues.5 As FGF19 lacks a heparin-binding domain, it is considered to act through the circulation.5 A growing body of evidence shows that FGF19 functions as an extracellular signaling molecule that plays a role in diverse biological functions, including bile acid metabolism and gallbladder filling.6 In addition, previous studies have reported a negative association between FGF19 level and cardiovascular disease risk.7,18,19 Hao et al8 observed decreased levels of serum FGF19 in patients with coronary heart disease and that serum FGF19 level was inversely associated with the severity of coronary lesions, suggesting its usefulness as a potential marker of cardiovascular diseases. Recent studies indicated a strong link between FGF19 and the regulation of glucose metabolism.11 In animal models, transgenic overexpression of FGF19 or administration of exogenous FGF19 improved insulin sensitivity and glucose tolerance.9,10 Patients with gestational diabetes mellitus were reported to have lower serum FGF19 levels than healthy pregnant women.20 Reduced levels of serum FGF19 were also found in patients with T2DM compared with those without T2DM.11,12,19 Fang et al11 reported that a decreased serum FGF19 level was associated with worsening of the glucometabolic status, from normal glucose tolerance to T2DM. FGF19 is involved in the development of ocular tissue.14 Chromosome mapping has shown that FGF19 is located at chromosome 11q13.1, a region associated with osteoporosis–pseudoglioma syndrome characterized by skeletal and retinal defects.21 In addition, FGF19 has been reported to have beneficial effects against retinal degeneration in experimental studies.13 However, the associations between FGF19 and diabetic retinopathy remain unclear to date. In this study, we found that serum FGF19 level was significantly and inversely associated with diabetic retinopathy in patients with T2DM after adjusting for conventional risk factors for diabetic retinopathy. FGF19 has been reported to be associated with glycemic control and body mass index.7,11,18 Previous studies have also shown that FGF19 level is related to serum lipid profile, in line with the findings in the present study.22 Consequently, it might be assumed that these aspects partly explain the observed association between FGF19 level and diabetic retinopathy.1 The multivariable analysis, however, showed that the statistically significant relationship between FGF19 level and diabetic retinopathy persisted after adjustment for confounders, including body mass index, HbA1c, duration of diabetes, and hyperlipidemia. Accordingly, the results indicate that these factors did not significantly exert an influence on the association between FGF19 and diabetic retinopathy. In addition, we note that the association between albuminuria and diabetic retinopathy has been reported in several studies of patients with T2DM.1,23 In accordance with the previous findings,1,23 our study showed that patients with diabetic retinopathy had higher UACR than those without diabetic retinopathy. Therefore, albuminuria might affect the findings observed in the present study. However, our study showed that the statistically significant relationship between FGF19 level and diabetic retinopathy was persistent after adjustment for UACR treated as continuous or categorical variable in the multivariable analysis. This suggests that the association between FGF19 and diabetic retinopathy is independent of albuminuria status. However, further studies are needed in this regard. Even though the mechanisms underlying the association between FGF19 level and diabetic retinopathy remain unclear, there is a plausible explanation for the link between these two factors. FGF19 is related to oxidative stress, inflammation, and immune response,24–27 which are also cardinal contributors to the pathogenesis of diabetic retinopathy.1 Thus, these common mechanisms may explain the close relationship between FGF19 level and diabetic retinopathy. Further studies are needed to investigate the underlying mechanisms. In the present study, patients without diabetic retinopathy had increased level of serum FGF19 compared with those with diabetic retinopathy. FGF19 level was comparable between NPDR and PDR subgroups. Thus, we speculate that FGF19 might play a pathophysiological role in early stages of diabetic retinopathy in patients with T2DM; however, this hypothesis is necessary to be verified by large-scale longitudinal studies. Fibrinogen, a glycoprotein generated in the liver, is a crucial component in the coagulation cascade.28 In addition, a large body of evidence has demonstrated that fibrinogen is involved in inflammation.28 Fibrinogen is considered to regulate the inflammatory processes by binding to its receptor on immune cells.28 Increased fibrinogen levels indicate a pro-inflammatory status.28 Accumulating evidence has shown that inflammation is involved in the pathogenesis of diabetic retinopathy.29 In the current study, multivariable analysis showed that the relationship between FGF19 and diabetic retinopathy remained significant after adjusting for covariates including fibrinogen level. Consequently, these findings imply that mechanisms independent of fibrinogen level may be involved.30 However, further studies are needed because, in addition to inflammatory stimulants, other factors may have an impact on fibrinogen level. This study has some limitations. Because of the cross-sectional design, causal relationships between FGF19 level and diabetic retinopathy could not be inferred. In the present study, NPDR might be in remission in some patients when retinal examinations were performed. Thus, these patients might be classified as no diabetic retinopathy group in this study. If these patients were to be defined as NPDR group, diabetic retinopathy might be underestimated in such a case. However, because this would bias towards null, we believe that our results would not be significantly influenced. Although patients with coronary artery disease were excluded in the present study, patients with subclinical coronary artery disease might be included because coronary artery disease was diagnosed based on medical history and electrocardiogram. In addition, patients without advanced renal dysfunction were included in our study, and further studies are necessary to investigate whether our results might apply to T2DM patients with advanced renal dysfunction. Another limitation is that the sample size in this study is relatively small. However, despite the limitations above, we believe that the present study provides important information regarding relationships between FGF19 and diabetic retinopathy. Further large longitudinal studies are required to better assess the associations between FGF19 and diabetic retinopathy in patients with T2DM.

Conclusion

In conclusion, we found an inverse association between serum FGF19 level and diabetic retinopathy, although serum FGF19 level was not correlated with the severity of diabetic retinopathy. Further investigations are required to ascertain the mechanisms governing the relationship between FGF19 level and diabetic retinopathy.
  30 in total

Review 1.  Fibroblast growth factors: from molecular evolution to roles in development, metabolism and disease.

Authors:  Nobuyuki Itoh; David M Ornitz
Journal:  J Biochem       Date:  2010-10-12       Impact factor: 3.387

Review 2.  Endocrine Adiponectin-FGF15/19 Axis in Ethanol-Induced Inflammation and Alcoholic Liver Injury.

Authors:  Min You; Zhou Zhou; Michael Daniels; Alvin Jogasuria
Journal:  Gene Expr       Date:  2017-11-02

Review 3.  Diabetic retinopathy and systemic vascular complications.

Authors:  Ning Cheung; Tien Y Wong
Journal:  Prog Retin Eye Res       Date:  2007-12-08       Impact factor: 21.198

4.  Overexpression of FGF19 alleviates hypoxia/reoxygenation-induced injury of cardiomyocytes by regulating GSK-3β/Nrf2/ARE signaling.

Authors:  Yuan Fang; Yan Zhao; Shaohua He; Tongshuai Guo; Qing Song; Ning Guo; Zuyi Yuan
Journal:  Biochem Biophys Res Commun       Date:  2018-07-04       Impact factor: 3.575

5.  Fibroblast growth factor 19 increases metabolic rate and reverses dietary and leptin-deficient diabetes.

Authors:  Ling Fu; Linu M John; Sean H Adams; Xing Xian Yu; Elizabeth Tomlinson; Mark Renz; P Mickey Williams; Robert Soriano; Racquel Corpuz; Barbara Moffat; Richard Vandlen; Laura Simmons; Jessica Foster; Jean-Philippe Stephan; Siao Ping Tsai; Timothy A Stewart
Journal:  Endocrinology       Date:  2004-02-19       Impact factor: 4.736

6.  Serum fibroblast growth factor 19 levels are decreased in Chinese subjects with impaired fasting glucose and inversely associated with fasting plasma glucose levels.

Authors:  Qichen Fang; Huating Li; Qianqian Song; Wenjing Yang; Xuhong Hou; Xiaojing Ma; Junxi Lu; Aimin Xu; Weiping Jia
Journal:  Diabetes Care       Date:  2013-04-29       Impact factor: 19.112

Review 7.  FGF19 subfamily members: FGF19 and FGF21.

Authors:  Katarzyna Dolegowska; Malgorzata Marchelek-Mysliwiec; Monika Nowosiad-Magda; Michal Slawinski; Barbara Dolegowska
Journal:  J Physiol Biochem       Date:  2019-03-29       Impact factor: 4.158

8.  Fibroblast Growth Factor 19 modulates intestinal microbiota and inflammation in presence of Farnesoid X Receptor.

Authors:  Raffaella Maria Gadaleta; Oihane Garcia-Irigoyen; Marica Cariello; Natasha Scialpi; Claudia Peres; Stefania Vetrano; Gionatha Fiorino; Silvio Danese; Brian Ko; Jian Luo; Emanuele Porru; Aldo Roda; Carlo Sabbà; Antonio Moschetta
Journal:  EBioMedicine       Date:  2020-04-05       Impact factor: 8.143

9.  MicroRNA-1281 as a Novel Circulating Biomarker in Patients With Diabetic Retinopathy.

Authors:  Marta Greco; Eusebio Chiefari; Francesca Accattato; Domenica M Corigliano; Biagio Arcidiacono; Maria Mirabelli; Rossella Liguori; Francesco S Brunetti; Salvatore A Pullano; Vincenzo Scorcia; Antonino S Fiorillo; Daniela P Foti; Antonio Brunetti
Journal:  Front Endocrinol (Lausanne)       Date:  2020-08-04       Impact factor: 5.555

10.  Retinopathy predicts stroke but not myocardial infarction in type 2 diabetes: the Fremantle Diabetes Study Phase II.

Authors:  Jocelyn J Drinkwater; Timothy M E Davis; Valentina Hellbusch; Angus W Turner; David G Bruce; Wendy A Davis
Journal:  Cardiovasc Diabetol       Date:  2020-03-31       Impact factor: 9.951

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