Reach Us +44-1477412632
Correlation of Retinal Nerve Fibre Layer Thickness with HbA<sub>1c</sub> and Oxidised LDL in Non-proliferative Diabetic Retinopathy | OMICS International
ISSN: 2155-6156
Journal of Diabetes & Metabolism

Like us on:

Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Correlation of Retinal Nerve Fibre Layer Thickness with HbA1c and Oxidised LDL in Non-proliferative Diabetic Retinopathy

Yusof Nor-Sharina1,2, Embong Zunaina1,2*, Ismail Shatriah1,2, Kyi Win-Mar2,3 and Ab-Rahman Azriani2,4

1Department of Ophthalmology, School of Medical Sciences, Universiti Sains Malaysia, Malaysia

2Hospital Universiti Sains Malaysia, Malaysia

3Department of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Malaysia

4Department of Community Medicine, School of Medical Sciences, Universiti Sains Malaysia, Malaysia

*Corresponding Author:
Embong Zunaina
Department of Ophthalmology
School of Medical Sciences
Universiti Sains, Malaysia
16150 Kubang Kerian, Kelantan, Malaysia
Tel: 609 767 6362
Fax: 609 765 3370
E-mail: [email protected]

Received date: July 31, 2013; Accepted date: September 16, 2013; Published date: September 21, 2013

Citation: Nor-Sharina Y, Zunaina E, Shatriah I, Win-Mar K, Azriani AR (2013) Correlation of Retinal Nerve Fibre Layer Thickness with HbA1c and Oxidised LDL in Non-proliferative Diabetic Retinopathy. J Diabetes Metab 4:298. doi:10.4172/2155-6156.1000298

Copyright: © 2013Nor-Sharina Y, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Diabetes & Metabolism


Objectives: The purpose of this study is to determine the correlation of retinal nerve fibre layer (RNFL) thickness with glycosylated haemoglobin (HbA1c) and oxidised low density lipoprotein (LDL) among Type 2 non-proliferative diabetic retinopathy (NPDR).

Methodology: This is a cross-sectional study involving 125 patients with Type 2 NPDR (mild NPDR: 45 patients, moderate NPDR: 45 patients and severe NPDR: 35 patients). Patients were evaluated for peri-papillary RNFL thickness by Heidelberg Retina Tomography. Blood were taken for HbA1c and oxidised LDL.

Results: Severe NPDR showed the highest mean RNFL thickness (severe: 762.60 SD 209.57 μm, moderate: 738.24 SD 200.30 μm, mild: 700.27 SD 215.44 μm), however it was not significant (p=0.40). There was significant fair negative correlation between RNFL thickness and oxidised LDL in NPDR (r=- 0.391, p<0.001). However, there was no significant correlation between RNFL thickness and HbA1c (r=0.048, p=0.60).

Conclusion: Early NPDR appears to have thinner RNFL thickness and is significantly correlated with high level of oxidised LDL.


Diabetes; Retinal nerve fibre layer; Oxidised LDL; Glycosylated haemoglobin


RNFL: Retinal Nerve Fibre Layer; HbA1c: Glycosylated Haemoglobin; LDL: Low Density Lipoprotein; NPDR: Non-Proliferative Diabetic Retinopathy; HRT: Heidelberg Retina Tomograph; OCT: Optical Coherence Tomography; ELISA: Enzyme- Linked Immunosorbent Assay; Hb-AGE: Haemoglobin Advanced Glycation End-Products; ApoB: Apolipoprotein B


Normal vision depends on the normal function of the retinal neurons to produce a good quality of vision. The quality of vision starts to deteriorate early in diabetes, before the clinical retinopathy becomes evident, probably indicating the early signs of neuronal dysfunction.

Retinal nerve fibre layer (RNFL) is an important structural neuron in the retina layer which is often shown to affect in the early pathogenesis of diabetic retinopathy. Several studies have reported RNFL thinning or defects in people with diabetes [1-5]. Histological studies of neural components of the retina have revealed that diabetesinduced biochemical mechanisms can potentially cause neural cell degeneration [6,7]. An in-depth understanding of the vascular changes in the retina during diabetes has given cause for the treatment of diabetic retinopathy. Indeed, the only proven treatment for diabetic retinopathy apart from intensive insulin therapy is laser photocoagulation, which involves the destruction of the retinal regions which contains overt vascular abnormalities [8]. Subsequently, early detection of RNFL thinning may help ophthalmologists to provide effective treatment of diabetic retinopathy and with early prevention, thus reducing vision loss.

Nowadays, due to the new introduction of imaging devices such as Heidelberg Retina Tomograph (HRT) and optical coherence tomography (OCT), RNFL thickness can be measured quantitatively and evaluated in vivo. The advantages of high reproducibility and low interobserver and intersession variability as well as easy handling have increased these popular diagnostic tools.

With regards to pathogenesis of diabetic retinopathy, the development and progression of diabetic complications are related strongly to the degree of glycemic control and hyperlipidaemia. Recently, glycosylated haemoglobin (HbA1c) measurement is regarded as the gold standard indicator for glycemic control in diabetic patients, reflecting glucose levels over a 2-3 months period [9,10].

Oxidised low density lipoprotein (LDL) derived from LDLcholesterol under oxidative stress, encompasses many atherogenic properties [11]. Oxidised LDL is an independent predictor of endothelial dysfunction with pro-inflammatory, pro-thrombotic and pro-apoptotic properties in individuals suffering from oxidative stress such as diabetic patients [12,13].

Guidelines for the management of the lipid profile in diabetic patients are mainly focused on controlling LDL cholesterol, triglycerides, high density lipoprotein-cholesterol and total cholesterol [14]. To date, there is still a lack of data concerning the role of atherogenic lipids such as oxidised LDL levels among diabetic patients with retinopathy, whether there is a significant correlation between oxidised LDL with the retinal nerve fiber layer.

Our aim of this study is to determine the RNFL thickness in non-proliferative diabetic retinopathy (NPDR) and to evaluate the correlation of RNFL thickness with HbA1c and oxidised LDL.



This study is a cross-sectional study and deals with NPDR among Type 2 diabetes mellitus. One hundred and twenty five patients with NPDR attending to Eye Clinic, Hospital Universiti Sains Malaysia, Kelantan from January 2010 to December 2011 were recruited in the study. Informed consent was obtained for every patient including a detailed explanation of all the procedures.

Patients were selected based on the following criteria: (i) Type 2 Diabetes mellitus with NPDR, (ii) Age between 40-65 years old, (iii) Duration of diabetes more than 5 years, and (iv) Clear view of the retina with minimal cataract. Eyes with high myopia, optic neuropathy, advanced cataract and cloudy media were excluded from the study. We also excluded a case of diabetic retinopathy with previous history of laser, previous history of vitreoretinal surgery, diabetic retinopathy with extensive diabetic macular oedema extending to peri-papillary region and other retinopathy due to hypertension or vascular disease.

Study procedure

The demographic data was taken from the patients or from the medical records. Then, the patient underwent fundus examination, retinal nerve fibre layer thickness measurements and blood test for measurement of HbA1c and oxidised LDL. The pupils were dilated by topical dilating drops using 1% tropicamide and phenylephrine 2.5% for fundus examination. Examination of fundus was performed using +90Diopter with a slit lamp bio microscopy. Then, fundus photograph was taken for grading of non-proliferative diabetic retinopathy based on proposed International Diabetic Retinopathy Severity Scales [15]. Only one eye was selected for one patient in view that the systemic outcomes were similar for both eyes. If the two eyes had unequal distribution of diabetic retinopathy, the more affected eye was selected. If the patient has one eye with hazy media and the other eye with clear media, the eye with clear media was selected.

After the study eye has been chosen, the subject underwent the RNFL thickness measurement using HRT III (Heidelberg Engineering, Heidelberg, Germany). During the procedure, the subject needs to relax with forehead rested on the headrest during the camera focusing the image. The procedure was performed by a trained medical operator. After the good image has been obtained, the operator will drawn the contour line along the inner sclera ring of the optic nerve. The contour line was drawn manually by the same operator. Then, the image were analysed using the standard reference plane. The RNFL thickness and cross-sectional area were calculated in the image analysis.

After the RNFL thickness measurement has been done, patient was informed to come fasting during the next visit (within one week) for blood test (HbA1c and oxidised LDL). Five ml of fasting venous blood was taken; three ml was collected for HbA1c while another two ml of blood was collected for oxidised LDL analysis. The oxidised LDL was measured by sandwich enzyme-linked immunosorbent assay (ELISA) using commercial kit (ALPCO Immunoassay). All steps were followed according to the manufacturer’s instruction. The absorbance is determined immediately with an ELISA reader at 450nm. The intraassay and inter-assay coefficient of variation for the assay raged between 3.9% and 11.0%. The percentage of the A1c component of HbA1c was assessed by high performance liquid chromatography. The HbA1c references range in our laboratory was 4.5% to 6.5 % [16].

Ethical approval

The study was approved by the Research and Ethical Committee, School of Medical Sciences, Universiti Sains Malaysia {Ref: USMKK/ PPP/JEPeM [222.3.(14)]}.

Statistical analysis

Data were analysed using SPSS version 18.0. Descriptive analyses were used for the mean values and SD. All values were tested for normal distribution and equal variances in three groups. For demographic data, One-way Anova test was used for comparison of three groups of mean (age and gender distribution) whereas Fisher Exact test was used for comparison of categorical data (ethnicity). The mean RNFL thickness and HbA1c were tested by comparison of three means using One-way Anova test for parametric test whereas Kruskal-Wallis was used to compare Oxidised LDL for non-parametric test. Mann Whitney test was used for non-parametric Independent t test. P value <0.05 was taken as significant data. The correlation between RNFL thickness with HbA1c was tested using Pearson correlation for bivariate normal distribution data whereas the correlation between RNFL thickness with oxidised LDL was tested using Spearman correlation for non-parametric test. The correlation coefficient, r is grading as below [17]:

• 0 : no correlation

• < 0.25 : poor

• 0.26 - 0.50 : fair

• 0.51 - 0.75 : good

• 0.76 - 1.0 : excellent

• +1 : perfect positive relationship

• -1 : perfect negative relationship


Demographic data

A total of 125 patients were recruited in the study. There were divided into three groups; mild NPDR (45 patients), moderate NPDR (45 patients) and severe NPDR (35 patients). There was no statistically significant difference in mean age between mild NPDR (56.91, SD 5.34), moderate NPDR (55.31, SD 5.11) and severe NPDR (56.09, SD 5.27) (p=0.35). There was also no statistically significant difference in gender (p=0.23) and ethnic group (p=0.26) among the three groups of NPDR (Table 1).

Variable Mild NPDR n= 45 Moderate NPDR n=45 Severe NPDR n=35 p value
Age (year)
(Mean, SD)
56.91 (5.34) 55.31 (5.11) 56.09 (5.27) 0.35a
Gender (n, %)
24 (30.9)
21 (42.1)
24 (35.3)
21 (36.8)
19 (33.8)
16 (21.1)
Ethnic (n, %)
39 (33.9)
5 (62.5)
1 (50.0)
42 (36.5)
3 (37.5)
34 (29.6)
1 (50.0)
RNFL thickness (μm)
(Mean/ SD)
700.27 (215.44) 738.24 (200.30) 762.60 (209.57) 0.40a
HbA1c (Mean/SD) 9.57 (2.17) 9.87 (2.16) 10.41 (2.78) 0.29a
Oxidised LDL (Median/IQR) 297.40 (766.20) 259.74 (731.40) 90.18 (325.50) 0.03c

Table 1: Distribution of age, gender, ethnic group, mean RNFL thickness, HbA1c and Oxidised LDL level in NPDR.

Most of our study population were Malays whom represented 92% whereas another 8% were from non-Malay ethnics; Chinese and Indian. This numbers reflects the normal racial population in Kelantan, Malaysia where Malay is the dominant population in Kelantan. The percentage of male and female gender was almost equally distributed among NPDR groups. There was no significant difference in gender distribution among the three groups of NPDR.

Retinal nerve fibre layer, HbA1c and oxidised LDL

The mean RNFL thickness in all groups of NPDR was 731.39 μm (SD 208.31) (range of RNFL thickness between 300 μm–1280 μm). Table 1 shows the distribution of mean RNFL, HbA1c and oxidised LDL in three groups of NPDR. Severe NPDR showed the highest mean RNFL thickness among the three groups of NPDR. However, there was no significant difference in the mean RNFL thickness among the three groups of NPDR (p=0.40). Based on subgroup quadrant of RNFL thickness, there was no significant difference in the mean RNFL thickness among the three groups of NPDR in all quadrants (p value between 0.25 and 0.77) (Table 2). The level of mean HbA1c was highest in severe NPDR. However, there was no significant difference in mean HbA1c among the three groups of NPDR (p=0.29). The highest level of oxidised LDL was observed in mild NPDR and the lowest level was in severe NPDR group. There was significant difference of oxidised LDL between mild, moderate and severe NPDR (p=0.03). Further analysis of oxidised LDL with Mann Whitney test, there was a significant difference between mild and severe NPDR (p=0.02) and also between moderate and severe NPDR (p=0.02).

Quadrant RNFL thickness (μm) Mild NPDR (Mean/SD) Moderate NPDR (Mean/SD) Severe NPDR (Mean/SD) F(df) p value
Superior 619.64 (236.28) 685.33 (274.05) 687.69 (238.96) 1.016 (2/124) 0.36
Temporal 624.82 (217.78) 618.62 (195.14) 692.31 (221.49) 1.420 (2/124) 0.25
Nasal 931.47 (369.74) 951.22 (318.41) 1011.23 (287.65) 0.606 (2/124) 0.55
Inferior 653.24 (233.68) 651.38 (272.71) 693.69 (351.83) 0.267 (2/124) 0.77

Table 2: Comparison of mean RNFL thickness based on quadrants in NPDR.

Correlation between RNFL thickness with HbA1c

Figure 1 shows the correlation between RNFL thickness with HbA1c in all groups of NPDR. There was poor positive correlation (r=0.048, p=0.60) between HbA1c and RNFL thickness (Table 3).


Figure 1: Correlation between RNFL thickness with HbA1c in all groups of NPDR.

                                            r   p value
RNFL thickness with HbA1c    
All groups of NPDR 0.048 0.60a
RNFL thickness with Oxidised LDL    
All groups of NPDR -0.391 < 0.001b
Mild NPDR -0.598 < 0.001b
Moderate NPDR -0.268 0.07b
Severe NPDR -0.199 0.25b

Table 3: Correlation of RNFL thickness with HbA1c and Oxidised LDL in NPDR.

Correlation between RNFL thickness with Oxidised LDL

Figure 2 shows the correlation between RNFL thickness with oxidised LDL in all groups of NPDR. There was significant fair negative correlation (r=-0.391, p<0.001) between RNFL thickness and oxidised LDL in all groups of NPDR. Among the three groups of NPDR, only mild NPDR showed significant good negative correlation (r=- 0.598, p<0.001) between RNFL thickness and oxidised LDL (Table 3).


Figure 2: Correlation between RNFL thickness with Oxidised LDL in all groups of NPDR.


From our findings comparing the mean RNFL thickness based on quadrant in each groups of NPDR, we did not discover any significant difference in regards to the mean RNFL thickness among three groups of NPDR. However, among each quadrant, nasal quadrant is the thickest part in all NPDR. We also observed the superior and temporal quadrants were thinner compared to other quadrants. Our results were fairly similar to studies done by Lopes de Faria et al. [2] and Takahashi et al. [3], which disclosed that RNFL was thinner in the superior quadrant. This finding corroborates with previous study by Kern [18] showing that the early events of diabetic retinal disease (micro aneurysms and acellular capillaries) occur preferentially in the superior temporal quadrant rather than in inferior areas [18].

Among other studies, Chung et al. demonstrated that blood flow in the superior temporal retina increased in response to hypercapnia, but did not decrease in response to hyperoxia. In contrast, hyperoxia led to a decrease in blood flow to the inferior retina, whereas hypercapnia did not result in an increased blood flow within this area [19]. The lack of normal vasoconstrictor response in this superior quadrant could explain why this region is more susceptible to micro aneurysms and acellular capillaries in diabetes mellitus and also why the retinal fibres are preferentially lost in this region even before clinically detectable diabetic retinopathy [18]. Sugimoto postulated that the superior quadrant was more susceptible to undergoing damage compared with other areas and may have a tendency for higher rates of cell death, which results in RNFL thinning [20]. Besides this, we also noticed that the thickest RNFL in nasal quadrant might be due to the lack of micro aneurysm presence in this area and therefore less retinal nerve fibre layer damage occurred in this quadrant.

Several studies have been reported on RNFL thinning, defects or both in diabetes mellitus [1,2,21,22]. In our study, we measured the RNFL thickness in three groups of NPDR and compared the mean RNFL thickness in each groups of NPDR. We found that there were no significant differences in mean RNFL thickness among the three groups of NPDR; however, we observed that the mean RNFL thickness was higher in severe NPDR. Our findings were in parallel to other studies done by Takahashi et al. [23] and Tekeli et al. [24]. In study done by Tekeli et al. [24], HRT was used to evaluate optic nerve head parameter in diabetes mellitus with and without retinopathy. Whereas, Takahashi et al. [23] used the stratus OCT which is a different tool compared with our study. Both studies did not find any significant reduction in the RNFL thickness among subjects of mild to moderate NPDR compared with age-matched healthy subjects. Based on findings found by Takahashi et al. [23], we were able to make an assumptions that, the possibilities of increased RNFL thickness in severe NPDR may be due to effects from hard exudates and retinal haemorrhages from leaking blood vessels causing the accumulation of intra-retinal fluids which subsequently cause the retinal to become oedematous and contributes to an increased thickness of the retinal nerve fibre layer. Although, we have excluded the patients with clinically apparent and extensive retinal oedema, a possible subclinical retinal oedema still presents itself in our diabetic patients; this finding may interfere with measurements effected by HRT.

HbA1c is known as an index of mean blood glucose in fasting and the postprandial state [25], and is well established and widely used as a clinical measure of chronic glycaemia [26]. HbA1c of 6.5% has now been seen as sufficiently sensitive and specific to identify individuals who are at risk of developing diabetic retinopathy [27]. From our findings, we noted that the majority of our subjects in NPDR groups had poor glycemic control. The majority of them had HbA1c ≥ 6.5%. The mean HbA1c in mild NPDR was 9.57(2.17) which is not vitally different from moderate NPDR 9.87 (2.16) and severe NPDR 10.41 (2.78). Our results of mean HbA1c were consistent with other studies [19,21,28].

We did not find any momentous correlation between RNFL thickness with the HbA1c in NPDR groups. Our findings were supported by other studies [1,21,24,29]. Study conducted by Ozdek et al. [21] compared diabetic patients whose blood glucose was well regulated and with those who were not well regulated according to the levels of blood glucose, HbA1c, fructosamine and triglyceride. They found that the average RNFL thickness value obtained by scanning laser polarimetry was reduced in patients without diabetic retinopathy who had poor blood glucose control but not for those with good control. However, the level of HbA1c showed no significant relation with the reduction of RNFL either in our study or other studies reported by Chihara et al. and Peng et al. [1,29].

Although, the HbA1c level has been recognised as an index of glucose control within the period of 3 months, however haemoglobin advanced glycation end-products (Hb-AGE) might be better than HbA1c as a long-term predictor because of its stability [30]. Hb-AGE concentration in blood appears to reflect glucose control over a longer period of the red cell life than the slowly reversible HbA1c. Hence, Hb-AGE measurements were proven as a superior clinical index of long-term glycemic control [30]. This might explain why there was no correlation between a single test of HbA1c and RNFL thickness as seen in our study and other studies [1,29]. The level of HbA1c at the time of examination was not correlated to the incidence of nerve fibre loss which was explained by Chihara et al. [1]. These discrepancies are due to fluctuation in the HbA1c level as well as the level of glycemic control at the time of examination and do not reflect the severity of diabetic retinopathy [1]. Apart from HbA1c, fasting blood sugar and post-meal blood sugar also act as equivalent predictors for retinopathy [31].

With regards to pathogenesis, dyslipidaemia has been associated with the severity of diabetic retinopathy in clinical studies [32,33]. Specifically, diabetic retinopathy was positively associated with serum triglycerides, serum concentration LDL, LDL particle concentration and apolipoprotein B (ApoB), the principal lipoprotein component of LDL [32]. Oxidised LDL derived from LDL-cholesterol under oxidative stress; encompass many atherogenic properties [11] which have been implicated in the progression of diabetic retinopathy [34].

In our study based on oxidised LDL among NPDR, we noticed a significant disparity in the median of oxidised LDL among three groups of NPDR. The level of oxidised LDL was higher in mild NPDR, and followed by moderate NPDR. The level of oxidised LDL was noticeably lower in severe NPDR. The repeated Mann Whitney revealed the significant differences seen between mild-severe NPDR and moderatesevere NPDR.

From our study, we found a significant fair negative correlation (r=- 0.391, p<0.001) between RNFL thickness with oxidised LDL in NPDR. Among all types of NPDR, mild NPDR showed a significantly good negative correlation (r=- 0.598, p<0.001) between RNFL thickness and oxidised LDL. However, there was borderline fair negative correlation seen between RNFL thickness and oxidised LDL in moderate NPDR whereas poor negative correlation seen in severe NPDR group.

We report a significant association of oxidised LDL with RNFL thickness in NPDR especially in mild NPDR. It was reported that serum oxidised LDL levels are considerably higher in diabetic patients than in healthy individuals [11,13,35]. In a study done by Wu et al. [34], they presented important pieces of evidence to support a role of extravasated and modified lipoproteins, specifically oxidised and glycated LDL, in the etiology of pericytes loss in the early stages of diabetic retinopathy. First, they demonstrated the presence of extravagated and oxidised LDL in the diabetic retina using antibodies raised against copperoxidised LDL. The extent of staining for ApoB and oxidised LDL were proportional to the severity of retinopathy. Wu et al. [34], also found at the earliest stages, before clinical diabetic retinopathy was evident, that the aggregation of lipoproteins was observed. Secondly, Wu et al. [34] also observed that oxidised LDL was expressed throughout all layers of the retina, mainly in the ganglion cell layer adjacent to retinal blood vessels in NPDR. The injurious effects of oxidised LDL are likely to affect the neural retina and the retinal blood vessels, consistent with recent concepts of a general retinal injury in diabetic retinopathy [36,37]. Fu et al. suggest that oxidative stress and endoplasmic reticulum stress are induced by modified LDL, and are implicated in pericyte loss in diabetic retinopathy [38]. Diabetes is a progressive inflammatory condition. As the disease becomes prolonged, elevated free radical formation, elevated inflammatory cytokines and an overwhelming endogenous anti-inflammatory response, propagate the oxidative stress in diabetic patients [39,40]. These findings have verified our study results in which possibilities of RNFL is threatened by oxidised LDL at an early stage of retinopathy.


Early NPDR appears to have thinner RNFL thickness and is significantly correlated with high level of oxidised LDL. A large population cohort study is needed to establish the correlation between oxidised LDL and RNFL thickness in the management of lipids in diabetic patients.


This study was supported by a Research University Grant (1001/PPSP/812064) from Universiti Sains Malaysia.


Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Relevant Topics

Article Usage

  • Total views: 12071
  • [From(publication date):
    October-2013 - Jan 20, 2019]
  • Breakdown by view type
  • HTML page views : 8259
  • PDF downloads : 3812

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2019-20
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri and Aquaculture Journals

Dr. Krish

[email protected]

+1-702-714-7001Extn: 9040

Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals


[email protected]

1-702-714-7001Extn: 9042

Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001Extn: 9040

Clinical Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

Food & Nutrition Journals

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

General Science

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics & Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Materials Science Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Nursing & Health Care Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

Ann Jose

ankara escort

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

pendik escort

[email protected]

1-702-714-7001Extn: 9042

© 2008- 2019 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version