Indian Journal of Obstetrics and Gynecology Research

Print ISSN: 2394-2746

Online ISSN: 2394-2754

CODEN : IJOGCS

Indian Journal of Obstetrics and Gynecology Research (IJOGR) open access, peer-reviewed quarterly journal publishing since 2014 and is published under auspices of the Innovative Education and Scientific Research Foundation (IESRF), aim to uplift researchers, scholars, academicians, and professionals in all academic and scientific disciplines. IESRF is dedicated to the transfer of technology and research by publishing scientific journals, research content, providing professional’s membership, and conducting conferences, seminars, and award more...

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Get Permission Poonguzhalai S and Kalyanikutty K P: The relationship between serum ferritin and gestational diabetes mellitus- A cross sectional study


Introduction

The incidence of Gestational Diabetes Mellitus (GDM) is increasing rapidly worldwide. Women with Gestational Diabetes Mellitus have type 2 diabetes (Insulin resistance state). Incidence of diabetes complicating pregnancy has increased approximately 40 percent between 1989 and 2004.1 It is also estimated that this incidence will increase 165 percent by 2050. There are many factors that influence the pathogenesis of GDM. In many recent studies, it is found that serum Ferritin has a positive correlation with GDM. Women who developed GDM have a higher concentration of serum Ferritin than women who do not develop GDM. In a developing country like India all pregnant women are supplemented with iron without investigating the iron status. This is because iron deficiency anemia is one of the important problem in developing countries. But now it is estimated that increased iron load in a pregnant women is linked to maternal complications like GDM.2 We measure serum Ferritin level to estimate the iron overload in pregnant Women. We know serum Ferritin is one of the acute phase protein, the concentration of which increased in acute infections. Pregnant women may be prone for acute infections, this may account for the increased serum Ferritin. But we have studies that suggest the possible link between elevated serum Ferritin and low grade inflammation.2,3 Studies also associate elevated serum Ferritin concentration with increased risk of GDM, independent of C-reactive protein (acute phase protein) and BMI. This study tries to co-relate elevated serum ferritin concentration with gestational diabetes mellitus in one of the tertiary care center in Kerala, south India.

Materials and Methods

A total of 60 pregnant women of gestational age 16-32 weeks are chosen. This included 30 subjects with normal pregnancy and without GDM and 30 subject with normal pregnancy and with GDM. Their serum Ferritin levels are assessed.

Inclusion criteria

Pregnant females between 16-32 weeks of gestation and the females are on Iron supplementation

Exclusion criteria

1. Acute and chronic infections

2. History of malignancy

3. Previous history of Diabetes mellitus

4. History of seizure

5. History of renal disease

6. History of liver disease

7. History of drug abuse

8. Women with Iron deficiency anaemia

Sample size calculation

Sample Size (n) = [(Zα + Zβ)2 × SD2 ×2] ÷ d2

Zα = Z score of α error of 5% (1.96)

Zβ = Z score of β error of 20% (0.843)

SD = Standard Deviation

= (SD1 + SD2) ÷ 2

= (17 + 9) ÷ 2

= 13 (Based on The Camden Study2 by Xinhua chen et al)

d = allowable error(10)

n = [(1.96 + 0.843)2 × 132 × 2] ÷ 102

= (7.856809 × 169 × 2) ÷ 100

= 26.55

= 27 in each arm

Methodology

Pregnant women of gestational age 16-32 weeks is included in the study after getting ethical clearance and Institutional Research clearance from Govt medical college, Thrissur. They are divided into 2 groups women with GDM and women without GDM. This is done by screening the subject for Glucose challenge test by asking them to take 75 gm of glucose and the 2hr OGTT was taken. Diagnosis of GDM is done by estimating Fasting blood sugar after atleast 12 hours of fasting and Post prandial blood sugar after 2 hours of meal. Pre pregnant weight is used to calculate approximate value of body mass index (BMI). Serum Ferritin of both groups are estimated and compared. Estimation of plasma glucose is by Glucose oxidase peroxidase method. Estimation of serum Ferritin by two site sand which immunoassay using Direct chemiluminomeric technology. Analysis was done by software SPSS version 20. Non parametric analysis was done (Mann-Whitney Test).

Results

Analysis was done by software SPSS version 20. Non parametric analysis was done (Mann-Whitney Test)

The results obtained are discussed further

Normal values: (According to WHO recommendation).4,5,6,7

GCT : ˂140mg/ dl

FBS: 110-125mg/dl

Serum Ferritin: 10-230ng/ml(5-216pmol/l).8

Figure 1

Distribution According to the age of the pregnant women

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Figure 2

Distribution according to the gestational age of the pregnant women

https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/d682f0d2-2148-4980-a58d-d2a3091c34b6/image/41c200e4-5a85-44c6-9dd4-e027b88569e5-u2.png

Figure 3

Distribution According to the BMI of the pregnant women

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Figure 4
https://typeset-prod-media-server.s3.amazonaws.com/article_uploads/d682f0d2-2148-4980-a58d-d2a3091c34b6/image/fd600eb1-7b6b-492e-930c-08e5ba3e2164-u4.png

Figure 5
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Table 1
Diabetes mellitus Number Mean rank Sum of ranks
S.Ferritin 0 30 33.02 990.5
S.Ferritin 1 30 27.98 839.5

Comparison of serum ferritin with diabetes mellitus: Mann-Whitney Test

[i] Code 0 : Pregnant ladies with GDM

[ii] S. Ferritin: Serum Ferritin

[iii] Code 1 : Pregnant ladies without GDM

Mean serum Ferritin level of pregnant women with GDM (30.83 +/-20.61) was higher than those without GDM (23.48+/-10.91). Median serum Ferritin level was comparable (20.950+/-23.8 vs 20.050+/-13.2). The difference is not statistically significant (p–0.264). According to Mann-Whitney test, the mean rank value of serum ferritin in subjects with diabetes mellitus is 33.02 compared with the mean rank value of serum ferritin in subjects without diabetes mellitus which is 27.98. Since the mean rank of serum ferritin in subjects with diabetes is higher, there is a positive relation between serum ferritin and diabetes mellitus.

Discussion

Analysis of the data was done by Mann Whitney, a Non Parametric analysis in which a mean rank value of serum ferritin in subjects with diabetes mellitus is 33.02 compared to the mean rank value of serum ferritin in subjects without diabetes mellitus which is 27.98. This proves there is a positive relation between serum Ferritin and Gestational Diabetes Mellitus although not significant. A study was d one in South Indian population belonging to a different ethnic group. This population was highly prone for iron deficiency anemia so iron supplementation is mandatory here. Normal serum Ferritin value is of a wider range (10- 291µg/l) so the analysis was done by “Non Parametric Test” (MannWhitney test). Except for a positive relation between serum Ferritin and GDM a significant correlation has not been proved. Joseph Scott Gabrielsen et al9,10 proved the pathophysiology behind the iron stores and GDM. Increased serum Ferritin causes oxidative stress induced damage to Adipocytes by producing free radicals. One of the stress specific gene is FOXO 1. FOXO1 gene is specific for Adipocytes is found to reduce the Adiponectin transcription.11,12 Hence the release of Adiponectin into circulation is reduced contributing for the Insulin resistance. Physiologically Adiponectin cause Insulin sensitive state.

In our study comparison between BMI and GDM was not analyzed. Studies shows significant correlation between iron stores (Ferritin and Hemoglobin) and GDM independent of BMI and other confounding factors like positive family history, C- reactive protein (a marker of inflammation) etc.2 Serum Ferritin, the storage form of iron is also a marker of inflammation. Thus Ferritin-insulin resistance could be due to increased iron stores or inflammation or both. Most of the studies investigating serum Ferritin also measured other markers of acute phase reaction including CRP and fibrinogen. There are studies which suggest that measuring of inflammatory markers had little effect on iron-insulin resistance. This gives the evidence of Ferritin-insulin resistance relationship independent of inflammation.2 In this study all confounding factors were not included

Most of the studies which investigated the iron stores not only measured serum Ferritin but also serum iron, total iron binding capacity and transferrin saturation. In this study we have measured only serum Ferritin level is mesured. Since other forms of iron are not measured the precise information regarding the iron stores is not available. Hence this is a drawback of this study compared to the other studies.

In this study we categorized pregnant women with GDM by measuring OGCT and FBS. Many of the upcoming study measured Hb A1c as useful indicator for diagnosing GDM. Alex Fong et al13 analyzed Hb A1c as the early indicator of GDM. An HbA1c level of 5.7-6.4% is an effective means of identifying patients at the highest risk of developing GDM. It may be most prognostic in an obese population. Its efficacy has been demonstrated when the sample is drawn during the first trimester and may be effective up to 20 weeks of gestation. This information may help the clinicians target the patients who will benefit the most.

Conclusion

It seems that routine administration of iron supplements to all pregnant women without estimating serum Ferritin needs more evaluation since a positive relationship has been found between GDM and increased serum Ferritin level. Clinicians should consider the unwanted supplementation of Iron for pregnant women without estimating the Iron storage state.

Limitation of the study

  1. Sample size is very low

  2. TIBC and Tansferrin saturation levels were not measured

  3. Serum Insulin level is not measured to justify insulin resistance as the pathology under GDM (due to increased iron stores)

  4. Confounding factors were not estimated

  5. Study should be done in different parts of India

Source of funding

None.

Conflict of interest

None.

References

1 

Cunningham Leveno Bloom Hauth Williams obstetrics;Chapter52 – Diabetes; Mc - Graw Hill23rd

2 

X Chen T O Scholl T P Stein Association of elevated serum ferritin levels and the risk of gestational diabetes mellitus in pregnant women: The Camden study. Diabetes Care20062910771082

3 

C Khl P J Hornnes O Andersen Review: Etiology and Pathophysiology of Gestational Diabetes MellitusDiabetes1985346670Supplement 2

5 

M C Foss-Freitas R C De Andrade R C Figueiredo A E Pace E Z Martinez A L Dal Fabro Comparison of venous plasma glycemia and capillary glycemia for the screening of type 2 diabetes mellitus in the Japanese-Brazilian community of Mombuca (Guatapar-SP)Diabetol Metab Syndr201026

6 

D Farrar L Duley D A Lawlor Different strategies for diagnosing gestational diabetes to improve maternal and infant health. Cochrane Database Syst Rev201110.1002/14651858.CD007122.pub2/abstractInternet

7 

L Hartling D M Dryden A Guthrie M Muise B Vandermeer W M Aktary Screening and diagnosing gestational diabetes mellitusEvid Rep Technol Assess20122101327

8 

M Abbassi-Ghanavati L G Greer F G Cunningham Pregnancy and laboratory studies: a reference table for cliniciansObstet Gynecol2009114613261357

9 

Y Gao Z Li J S Gabrielsen J A Simcox S Lee D Jones Adipocyte iron regulates leptin and food intakeJ Clin Invest2015125936813691

10 

J S Gabrielsen Y Gao J A Simcox J Huang D Thorup D Jones Adipocyte iron regulates adiponectin and insulin sensitivityJ Clin Invest20121221035293569

11 

S M King C M Donangelo M D Knutson P B Walter B N Ames F E Viteri Daily Supplementation with Iron Increases Lipid Peroxidation in Young Women with Low Iron StoresExp Biol Med20082336701708

12 

S Swaminathan V A Fonseca M G Alam S V Shah The role of iron in diabetes and its complications. Diabetes Care20073019261959

13 

A Fong A E Serra L Gabby D A Wing K M Berkowitz Use of hemoglobin A1c as an early predictor of gestational diabetes mellitusAm J Obstet Gynecol20142116641642e7



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Article type

Original Article


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342-345


Authors Details

Poonguzhalai S, Kalyanikutty K P


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