Previous studies have shown that the relationship between obesity and diabetes is influenced by the genotypes of ACP1 and p53 codon 72. In particular the *B/*B genotype of ACP1 and carriers of *Pro allele of p53 codon 72 show a low odds ratio for diabetes in obese subjects.
In the present paper we have searched for a possible interaction between the two polymorphisms concerning their effects on the relationship between obesity and diabetes.
Two hundred and eighty two subjects admitted to the hospital for cardiovascular diseases were studied in the population of Rome. The genotypes of ACP1 and p53 codon 72 were determined by DNA analysis.
The data suggest an additive effect of the two genetic systems concerning the relationship between obesity and diabetes: the maximum O.R. for diabetes in obese subjects is observed in those carrying no protective factors (*B/*B and *Pro allele) while the minimum O.R. is observed in subjects carrying both factors. The study of these genotypes in obese subjects may have relevance to prevent clinical manifestations of diabetes.
diabetes; obesity: p53 codon 72; ACP1
Previous study has shown that the susceptibility to type 2 diabetes (T2D) in obese subjects depends on the genotype of p53 codon 72 and it is higher in *Arg/*Arg subjects than in those carrying the *Pro allele [1]. Another study has revealed that in subjects with ACP1 *B/*B genotype the susceptibility to T2D in obese subjects is lower as compared to other ACP1 genotypes [2].
We have now searched for possible interaction between the two genetic systems concerning their effects on the risk of T2D in obese subjects.
Acid Phosphatases locus 1 (ACP1) is a polymorphic enzyme showing different activities among genotypes. The enzyme is involved in glycide and lipid metabolism [3] and it has been found associated with obesity and diabetes [4,5].The enzyme is composed of two isoforms that show different molecular and catalitic properties and different concentration among genotypes (Table 1). ACP1 functions has phosphotyrosine phosphatase and flavin mononucleotide phosphatase. The enzyme is able to dephosphorilate a negative phosphorylation site in the ZAP 70 tyrosine kinase in T cells [6] leading to increased activaction of this kinase and enhanced signalling from T cell antigen receptors. ACP1 is involved in the negative modulation of insulin signal transduction [7] and it is able to dephosphorylate the adipocite lipid binding proteins (ALBP) in vitro [8]. In adipose tissue ALBP is phosphorylated on Tyr 19 after insulin stimulation and this phenomenon seems to impair its fatty acid binding ability [9]. Recently an important effect of the reduction of ACP1 expression on insulin sensitivity has been observed in obese mice [10].
Table 1. F and S isozyme concentrations in relation to the ACP1 genotype.
Total quantity of F (mg/ml RBC) |
Total quantity of S (mg/ml RBC) |
*B/*B |
16.4 |
*C/*C |
20.6 |
*A/*B |
12.0 |
*A/*C |
12.7 |
*B/*C |
11.3 |
*B/*C |
12.1 |
*A/*A |
7.9 |
*B/*B |
3.9 |
*A/*C |
7.5 |
*A/*B |
3.4 |
*C/*C |
5.7 |
*A/*A |
3.3 |
P53 codon 72 shows a single nucleotide substitution resulting in the presence of either arginine or proline in the aminoacid sequence : the arginine variant is a strong apoptosis inducer while the proline variant is a strong transcriptional activator [11]. A strong association of p53 codon 72 with T2D has been previously observed [12]. Moreover p53 expression in adipose tissue is involved in insulin resistance. The inhibition improves insulin resistance while upregulation of p53 activity leads to an increase to insulin resistance [13].
Two hundred and eighty two subjects admitted to the hospital for cardiovascular disease were studied in the population of Rome: Informed Consent was obtained from all subjects to partecipate to the study that was approved by the Direction of the hospital. ACP1 polymorphism was determined by DNA analysis as previously described [14]. P53 codon 72 genotype was determined by DNA analysis according to De La Calle Martin as previously described [15].
Three way contingency analysis was carried out by a log linear model according to Sokal and Rohlf [16]. Other statistical analyses were carried out bu commercial software (SPSS).
Table 2 shows the effect of p53 codon 72 genotype on the relationship between ACP1 and the development of diabetes in obese subjects. In *Arg/*Arg genotype the effect of obesity on the development of diabetes is much less strong in *B/*B genotype than in carriers of other ACP1 genotypes. Such difference between *B/*B and other ACP1 genotypes is much less evident in carriers of *Pro allele.
Table 2. The effect of P53 codon 72 0n the relationship between ACP1 and the development of Type 2 diabetes in obese subjects.
|
ACP1 genotype |
*B/*B |
Other genotypes |
Subjects with *Arg/*Arg genotype |
% diabetes |
Total n° |
% diabetes |
Total n* |
BMI ≤30 |
20.8% |
48 |
9.3% |
75 |
BMI > 30 |
50.0% |
14 |
65.0% |
20 |
Chi-square |
χ2 = 3.283 df=1 p=0.070 |
χ2 = 26.184 df = 1 p<10-6 |
O.R.
95% C.I. |
3.80
0.92-16.16 |
18.04
4.72-76.68 |
|
Subjects carrying the *Pro allele |
% diabetes |
Total n° |
% diabetes |
Total n* |
BMI ≤30 |
22.9% |
48 |
14.3% |
49 |
BMI > 30 |
45.5% |
11 |
47.1% |
17 |
Chi-square |
χ2 = 1.301 df=1 p=0.254 |
χ2 = 5.960 df = 1 p=0.015 |
O.R.
95% C.I. |
2.80
0.59-13.42 |
5.96
1.31-22.46 |
Figure 1 shows the relationship between odds ratio for diabetes (obese versus non obese) and the number of protective factors (*B/*B genotype and *Pro allele). The maximum odds ratio for diabetes is attained in absence of protective factors while the minimum odds ratio is observed in subjects carrying both factors.
Figure 1. The relationship between odds ratio for diabetes (obese vs non obese) and the number of protective factors (*B/*B genotype and *Pro allele)
In table 3 are reported the results of an analysis of the interaction among ACP1, diabetes and obesity in *Arg/*Arg genotype and in carriers of *Pro allele. A three way contingency table analysis carried out by a log linear model has shown that in subjects with *Arg/*Arg genotype there is a borderline interaction among ACP1, diabetes and obesity and a strong additive effect of ACP1 and obesity on diabetes. In subjects carrying the *Pro allele there is no interaction and a border line additive effect of ACP1 and obesity for diabetes is observed.
Table 3. The effect of P53 codon 72 genotype on the interaction between ACP1 ,diabetes and obesity. Three way contingency table analysis by a log linear model.
|
Interaction between ACP1,diabetes and obesity |
Additive effect of ACP1 and obesity on diabetes |
*Arg/*Arg genotype |
P=0.080 |
p≤0.0001 |
Carriers of *Pro allele (*Arg/*Pro and *Pro/*Pro) |
P=0.500 |
P=0.030 |
The present study has revealed a cooperative interaction between ACP1 and p53 codon 72 concerning their effects on susceptibility to diabetes in obese subjects. *B/*B genotype of ACP1 and *Pro allele of p53 codon 72 are protective against development of diabetes in obese subjects: the minimum risk is observed in carriers of both factors while the maximum risk is observed in absence of these factors .
P53 expression in adipose tissue is involved in insulin resistance [13]; moreover an association of p53 codon 72 with T2D has been observed [12]. ACP1 is able to dephosphorylate the Adipocide Lipid Binding Protein (ALBP) [8]. The coupled action of p53 and ACP1 seems to influence the susceptibility of obese subjects to become diabetic. Further studies in this area would be rewarding.
From the practical point of view, the study of ACP1 and p53 codon 72 polymorphisms could help to identify obese subjects at high risk to develop diabetes.
The limitation of the study is represented by the fact that it has been carried out in subjects with cardiovascular diseases.
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