Lalitha R.1,
Anil Kumar R.2, Shetty S.B.3
1Dr Lalitha R, AssistantProfessor, 2Dr Anil Kumar R,Assistant
Professor, 3Dr Surekha B Shetty, Assistant Professor, all authors
are affiliated withKarnataka Institute of Endocrinology and Research, Bengaluru,
Karnataka, India
Corresponding
author:Dr Lalitha R, Email:drlalithashivaprakash@gmail.com
Abstract
Type
2 diabetes mellitus (T2D) is a chronic metabolic disorder, characterized by hyper
glycaemia caused by impaired glucose homeostasis and represents a serious
public health problem. T2D is a multi-factorial disorder depending on complex
interactions between environmental factors and genetic variants. Objective: To evaluate the degree of familial aggregation and
maternal influence on the transmission of type 2 diabetes in the South Indian
population. Methodology: A total of
1063 subjects with type2 diabetes with knowledge of history of presence or absence
of diabetes in relatives were randomly recruited. 652 were male and 411 were female.Results: This study showed familial clustering and maternal
transmission in our study population. 78.3% of the subjects had at least one
relative with diabetes. Familial aggregation was significant with presence of
diabetes in 1st degree relative like parents and in siblings. 2nd
degree relatives too had significantly associated with diabetes to a similar
extent like 1st degree relatives.Patient’s age range between 50-59 showed highest incidence of diabetes at
44% followed by 37% in age group 40-49. Our study showed an advancement
of incidence of diabetes by one decade compared to similar studies in different
regions. Conclusion: Maternal
factors do play an important role in the incidence of diabetes, prevalence of
diabetes. Several factors may be involved in this in terms of polycystic
ovaries, gestational diabetes, malnourishment during pregnancy, and other socioeconomic
factors. We need studies and further research in ascertaining the exact
mechanisms. Familial aggregation is common and may help us to screen for
diabetes in high risk populations. Preventive strategies for type 2 diabetes
should be directed at these high risk groups.
Key words: Familial clustering, maternal, Type 2 diabetes mellitus, South Indians
Introduction
Type
2 diabetes mellitus (T2D) is a chronic metabolic disorder, characterized by hyperglycemia
caused by impaired glucose homeostasis, and represents a serious public health
problem. Prevalence of diabetes is increasing at the global level with large
variation from one population to another depending on the ethnic origin. [1,2].
In India, similar to in other developing countries, there is a growing alarm
for the important socioeconomic impact of the disease-high medical costs and
disturbed quality of life[3,4]. T2D is a multifactorial disorder depending on
complex interactions between environmental factors and genetic variants.
Incidence of T2D is triggered by a genetic susceptibility, as reported by
monozygous twin studies and familial aggregation in several populations [5-8]. Although,
with recent advances in defining the molecular basis of T2D, the mode of
inheritance of this disease is still debated.
Several
studies reported that the risk of diagnosed T2DM increases when one or both
parents are affected and some studies suggest that persons whose mothers had
diabetes are more likely to develop diabetes themselves, compared with persons
whose fathers had diabetes [9-12].
Numerous
studies have concluded that individuals with maternal history of diabetes are
at a higher risk of developing the disease than individuals with a paternal
diabetes history.
To evaluate the degree of
familial aggregation and maternal influence on the transmission of type 2
diabetes in the South Indian population. To ascertain the peak onset of
diabetes in the studied population.To assess if maternal factors have a major
influence on the development of diabetes in the progeny.
Materials and Methods
Subjects with type 2 DM
attending the outpatient department at Karnataka Institute of Endocrinology and
research, Bengaluru were recruited for the study. Detailed family history of
the subjects recruited were elicited and recorded. Those who were doubtful of
the family history were excluded.A total of 1063 subjects with type2 diabetes
were randomly recruited.The study recorded confirmed diabetes in relatives as
mentioned below
· 1st degree relative included parents,
brothers and sisters.
· 2nd degree relative included maternal and
paternal uncles, aunts, and cousins.
·
3rd
degree relatives included grandparents and second cousins.
Inclusion criteria
1. Adult subjects above the age
of 18 years are included.
2. Subjects with a diagnosis of type 2 diabetes in the
above age criteria.
3. Subjects with available information on status of
diabetes in close relatives are recruited.
Exclusion
criteria
1.
Subjects
below the age of 18 years.
2.
Pregnant
women with diabetes.
3.
Type
1 adult diabetic subjects.
4.
Other
types of diabetes other than type 2 diabetes are excluded on basis of clinical
history.
5.
Subjects
belonging to other than South Indian states of Karnataka, Andhra Pradesh,
Telangana, Kerala and Tamil Nadu.
Statistical Analysis:SPSS Software was used to analyze the results and
derive at the risk ratios and relations. Pearson correlation was used for
assessing the significance and power of risk association with the p values of
< 0.05 being significant positive association.
Results
Study subjects
with presence of family history:Among the study subjects, 652 were male and
411 were female. (table1). It was observed that the first-degree relatives had
a strong correlation 1st Degree relative with diabetes were seen in
64.25% of individuals with either a mother, father or a sibling as diabetic. 2nd
degree relatives being diabetic were seen in 38.1% and 3rd degree
relatives being diabetic were seen in 22.4%. (Fig 1)
Subject’s
father with diabetes were seen in 28.9 %(n=307) and without diabetes in 71.1 %(n=756).
(Table 2)
Subject’s
mother with diabetes were seen in 35.3 %(n=375) and no-diabetes in 64.7
%(n=688). (Table-3)
Subject’s
sisters being diabetic seen in 32.2% and brothers being diabetic in 35.7%.
Both
parents with diabetes was seen in 23.7% of male subjects compared to 13.1% in
female subjects.
Presence of diabetes in
siblings is significant and has a comparable risk to that of diabetes in
parents.
There is no significant
difference between the presence of diabetes in brothers or sisters.
Patients
aged with 50-59 were 44% followed by 37% aged 40-49. Our study showed anearlier shift by 1 decade peaking
between 50-59, this trend may continue in future with a shift of prevalence in
younger age groups leading to higher economic burden on the health.
78.3%
of the subjects had at least one relative with diabetes. Familial aggregation
is significant with presence of diabetes in 1st and 2nd
degree relative. Diabetes in siblings is significant with risk comparable to
diabetes in parents. The age of onset in age group 40-49 is comparable to 50-59
years which signifies earlier onset and has implications on the prevalence of
diabetes with its burden on the healthcare system.Excess maternal transmission
is significant with frequency in mother being high at 63.2% compared to 24.6%
in fathers. The calculated p value 0.001 is significant.
Table-1:
Frequency Table Indicating Subject’s Gender Data
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Male |
652 |
61.3 |
61.3 |
61.3 |
Female |
411 |
38.7 |
38.7 |
100.0 |
|
Total |
1063 |
100.0 |
100.0 |
|
Figure
1
Table-2:
Frequency Table indicating Subject’s Father’s Diabetic History Data
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Diabetic |
307 |
28.9 |
28.9 |
28.9 |
Non
Diabetic |
756 |
71.1 |
71.1 |
100.0 |
|
Total |
1063 |
100.0 |
100.0 |
|
Table-3:
Frequency Table indicating Patient’s Mother’s Diabetic History Data
|
Frequency |
Percent |
Valid Percent |
Cumulative Percent |
|
Valid |
Diabetic |
375 |
35.3 |
35.3 |
35.3 |
Non
Diabetic |
688 |
64.7 |
64.7 |
100.0 |
Table-4: Either parent
with diabetes
Father |
% |
Mother |
% |
|
Male
subject |
97
|
22.2%
|
126
|
58.6%
|
Female
subject |
72
|
28.7%
|
111
|
69.4%
|
Total |
169 |
24.6% |
237 |
63.2% |
Figure
2
Table-5: Correlations between
various variables under consideration
|
Subjects Gender |
Subject’sfather |
Subject’smother |
Subject’sbrother |
Subject’s Sister |
Subject’s 2° relative |
Subject’s 3°relative |
Subject’sFamily History |
|
Subject’sGender |
Pearson
Correlation |
1 |
-.010 |
-.061* |
-.114** |
-.139** |
-.014 |
-.069* |
-.105** |
Sig.
(2-tailed) |
|
.749 |
.048 |
.000 |
.000 |
.659 |
.024 |
.001 |
|
N |
1063 |
1063 |
1063 |
1062 |
1062 |
1063 |
1063 |
1063 |
|
Subject’sfather
|
Pearson
Correlation |
-.010 |
1 |
.129** |
.177** |
.112** |
.201** |
.096** |
.306** |
Sig.
(2-tailed) |
.749 |
|
.000 |
.000 |
.000 |
.000 |
.002 |
.000 |
|
N |
1063 |
1063 |
1063 |
1062 |
1062 |
1063 |
1063 |
1063 |
|
Subject’smother
|
Pearson
Correlation |
-.061* |
.129** |
1 |
.182** |
.161** |
.207** |
.114** |
.370** |
Sig.
(2-tailed) |
.048 |
.000 |
|
.000 |
.000 |
.000 |
.000 |
.000 |
|
N |
1063 |
1063 |
1063 |
1062 |
1062 |
1063 |
1063 |
1063 |
|
Subject’sbrother |
Pearson
Correlation |
-.114** |
.177** |
.182** |
1 |
.380** |
.132** |
.105** |
.389** |
Sig.
(2-tailed) |
.000 |
.000 |
.000 |
|
.000 |
.000 |
.001 |
.000 |
|
N |
1062 |
1062 |
1062 |
1062 |
1061 |
1062 |
1062 |
1062 |
|
Subject’ssister |
Pearson
Correlation |
-.139** |
.112** |
.161** |
.380** |
1 |
.054 |
.094** |
.349** |
Sig.
(2-tailed) |
.000 |
.000 |
.000 |
.000 |
|
.081 |
.002 |
.000 |
|
N |
1062 |
1062 |
1062 |
1061 |
1062 |
1062 |
1062 |
1062 |
|
Subject’s
2° relative |
Pearson
Correlation |
-.014 |
.201** |
.207** |
.132** |
.054 |
1 |
.355** |
.399** |
Sig.
(2-tailed) |
.659 |
.000 |
.000 |
.000 |
.081 |
|
.000 |
.000 |
|
N |
1063 |
1063 |
1063 |
1062 |
1062 |
1063 |
1063 |
1063 |
|
Subject’s3°relative |
Pearson
Correlation |
-.069* |
.096** |
.114** |
.105** |
.094** |
.355** |
1 |
.278** |
Sig.
(2-tailed) |
.024 |
.002 |
.000 |
.001 |
.002 |
.000 |
|
.000 |
|
N |
1063 |
1063 |
1063 |
1062 |
1062 |
1063 |
1063 |
1063 |
|
Subject’s
F/H |
Pearson
Correlation |
-.105** |
.306** |
.370** |
.389** |
.349** |
.399** |
.278** |
1 |
Sig.
(2-tailed) |
.001 |
.000 |
.000 |
.000 |
.000 |
.000 |
.000 |
|
|
N |
1063 |
1063 |
1063 |
1062 |
1062 |
1063 |
1063 |
1063 |
|
*.
Correlation is significant at the 0.05 level (2-tailed). |
|||||||||
**.
Correlation is significant at the 0.01 level (2-tailed). |
Discussion
Type
2 diabetes is a chronic metabolic disorders with multiple aetiopathological
factors including genetic inheritance.The existence of excess maternal
transmission of type 2 diabetes iscurrently debated (17-19). Both
environmentaland genetic hypotheses have been proposedas mechanisms for
maternaltransmission (17, 19-22). Proposed environmental mechanisms include
maternal effects onintrauterine environment. Behavioural risk factors
preferentially passed on bymothers like dietary or physical activitybehaviours
that increase the risk of obesityand diabetes. Transmission of
mitochondrialgenes (passed only from mother to children)is the most common
genetichypothesis. Excess maternal transmission oftype 2 diabetes has not been
consistentlyobserved across races. Although thisinheritance pattern has been
observed inpopulations with lower prevalence of disease,North American,
English,French, and Chinese populations,negative findings have been reported in
atleast two ethnic groups with high prevalenceof diabetes (i.e., Hispanics and
SouthAsian Indians,South Indians and Koreans)[15,22]. However, excessmaternal
transmission has also beenobserved in Pima Indians. Different methods of
quantifyingexcess maternal transmission make studiesfrom different populations
difficult to compare. Potential bias in the reporting of familyhistory data and
equivocal findings, especially between the various racial groups,have
contributed to the controversy overthe existence of excess maternal transmission
of diabetes [17, 18]. Although understanding the completenessand accuracy of
diabetes familyhistory data would seem to be necessary tothe study of patterns
of inheritance, therehave been very few evaluations ofits quality and
associated biases [17]. Studiesof excess maternal transmission wouldbe
particularly sensitive to bias if thesubject’s ability to provide complete
andaccurate histories differed for the maternalversus paternal arms of the pedigree
[18].
Preventive
strategies for type 2 diabetes should be directed at these high risk groups.
Factors that may be causing a shift towards an earlier age group need to be
addressed and studied.
Excess
maternal transmission is significant with frequency in mother being high, 63.2%
in mothers compared to 24.6% in fathers. A number of studies have shown an
excess maternal transmission in different populations. Our study results showed
similar results to De Silva et al in Srilankan population that an excess
maternal transmission with familial aggregation [13].
This
study group showed 78.3% of the subjects had at least one relative with
diabetes. Investigation in previous study showed the parental transmission
patterns of T2DM showing an excess of maternal transmission of T2D as mothers
were implicated two times more frequently than fathers. This inheritance
pattern has been reported for severalpopulations includingEnglish, French,
South African, Chinese, North American, Caucasians and West Indian patients
have shown similar results [23].
Viswanathan
M et al in a South Indian population showed that there is no maternal influence
on the transmission of type2 DM. Kim J et al also showed a lack of excess
maternal transmission in Korean population [15].
In
the CURES study the peak prevalence of diabetes was in 60-69 age group with 33%
but in this study we have seen an advance of one 1 decade peaking between
50-59.16 Thistrend may continue in future with a shift of prevalence in younger
age groups leading to higher economic burden on the health. Peak age of onset
of diabetes in the study population is in between 50-59. The age group between
40-49 is comparable to that of 50-59 suggesting an earlier onset of diabetes.
Mohan et al have shown in the CURES study a similar phenomenon of shift in
onset of diabetes to earlier age group [16].
Conclusion
Maternal
factors play an important role in the increasing prevalence of diabetes. The
reasons for this need to be evaluated. Maternal nutrition during pregnancy,
presence of GDM, diabetes during pregnancy, genetic andmaternal side
consanguity and other factors may play a role. Familial aggregation is common
and may help us to screen for diabetes in high risk populations. Preventive
strategies for type 2 diabetes should be directed at these high risk groups.
Factors that may be causing a shift towards an earlier age group need to be
addressed and studied.
In
our study we found an excess of maternal transmission and familial
aggregationas against to a similar study in South Indian population. This may
need further evaluation as to whether consanguineous marriages, maternal
nutrition, intrauterine foetal growth, gestational diabetes, polycystic ovarian
disease or other factors influence this trend. Our study also addresses the
need to educate and counsel these set of population to apply preferential
screening and preventive strategies.In this study we have overcome the study
bias by excluding subjects without a proper and confirmed knowledge of diabetes
status in the first degree relatives. Hence we can now address and look into
factors that may contribute to this phenomenon in our population in future
studies.
IRB
approval obtained and KIER ethics committee approval obtained.
Contribution
by authors
Authors
Dr Anil Kumar R and Dr Surekha Shetty have helped in study design and in the
analysis of data. They have contributed to the discussion and preparation of
manuscript.
Acknowledgement-The
author would like to thank all the subjects and Mr Pradeep BK (Biocon) for
assistance.
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