# Characteristics and Prevalence of Latent Autoimmune Diabetes in Adults (LADA)

Authors: Priyanka P. Brahmkshatriya; Anita A. Mehta; Banshi D. Saboo; Ramesh K. Goyal
Journal: ISRN Pharmacology
 (2012)

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## Abstract

Diabetes, one of the most commonly seen metabolic disorders, is affecting a major area of population in many developing as well as most of the developed countries and is becoming an alarming concern for the rising cost of the healthcare system. Latent Autoimmune Diabetes in Adults (LADA) is a form of diabetes which is less recognized and underdiagnosed type of diabetes which appears to have characteristics of bothtype 1 (autoimmune in nature) and type 2 diabetes (adult age at onset and initial response to oral hypoglycemic agents). An epidemiological study was carried out on 500 patients in the western region of India. Various parameters such as age at onset, duration of diabetes, gender, basal metabolic index (BMI), type of diabetes, family history, HbA1c levels, cholesterol levels, and current treatment regimen were evaluated and correlated with type 1 and type 2 diabetes. Moreover, diagnostic markers for LADA, namely, GAD autoantibodies and C-peptide levels, were determined for 80 patients selected from the epidemiological study. Some of the results obtained were found to be consistent with the literature whereas some results were found to be contradictory to the existing data.


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## Body

## 1. Introduction

Diabetes mellitus (DM) includes a group of carbohydrate metabolism disorders which is characterized by hyperglycemia and leads to long-term macrovascular and microvascular complications. The prevalence of diabetes mellitus is increasing significantly in most of the developed and many developing countries, and it is of great concern [1, 2]. The worldwide prevalence of diabetes mellitus has risen dramatically over the past two decades. It is one of the most common chronic endocrine disorders affecting millions of people worldwide. The International Diabetes Federation (IDF) data indicates that by the year 2025, the number of people affected by diabetes will reach 333 million. Although all forms of diabetes are characterized by hyperglycemia, the pathogenic mechanisms by which hyperglycemia arises differ widely. American Diabetes Association categorized DM mainly as types 1 and 2 diabetes and the others [3]. Individuals with type 1 diabetes show extensive beta-cell destruction, and therefore no residual insulin secretion, requiring insulin for survival. Autoimmune β-cell destruction is the main cause of insulin deficiency in type 1 diabetes [4]. In some individuals with diabetes, adequate glycaemic control can be achieved with weight reduction, exercise, and/or oral agents. These individuals, that is, patients of type 2 diabetes, therefore, do not require insulin and may even revert to impaired glucose tolerance (IGT) or normoglycaemia [5]. It is mainly a heterogeneous disease with a complex pattern of inheritance. Type 2 diabetes is the commonest form of diabetes constituting about 90% of the total diabetic population, whereas type 1 diabetes constitutes about 10–15% of the diabetic population. Geographic, environmental, and genetic factors all play a major role in the variation of incidence of all types of diabetes. Although diabetes is classified into two major types—type 1 (insulin dependent) and type 2 (insulin independent) diabetes, there are some forms of diabetes which cannot be classified into either of these categories. One such less recognized and underdiagnosed manifestation of DM appears to affect adults with many characteristics of type 2 diabetes and carries a high risk of insulin dependency progression, the condition known as Latent Autoimmune Diabetes in Adults (LADA) [3]. The usual features of LADA patients reported are onset of diabetes at ≥25 years of age, clinical presentation masquerading as nonobese type 2 diabetes, unlikely to have a family history of type 2 diabetes, initial control of hyperglycemia with diet and oral antidiabetic agents, evolution to insulin necessity within months, and some features of type 1 diabetes such as low fasting C-peptide and positive GAD auto antibodies[6–8]. About 20% of the patients diagnosed with type 2 diabetes may have LADA. This accounts for 5–10% of the total diabetes population, the same number as type 1 diabetes [9]. Despite the frequency of LADA, there are no universal recommendations regarding testing for islet antibodies in adult onset diabetes. A reliable clinical strategy is required to identify which adults with diabetes have a high likelihood of LADA and need testing for islet antibodies. Another important characteristic of LADA which faces controversy is the family history. Some reports suggest that LADA patients are unlikely to have family history of type 2 diabetes[10] while a recent study (Nord-Trøndelag Health Study) indicated strong evidence of family history as an important risk factor for LADA [11]. India is witnessing an epidemic of diabetes, more specifically type 2 diabetes. It has been observed that the onset of type 2 diabetes occurs at an early age in Asian population. Very less work has been done in context to LADA in the Indian population. Since it has been observed that the prevalence of diabetes in India and especially in Gujarat or Western population is significantly high, it follows that the prevalence of LADA in this population can be predicted to be high. Also, from the above reports, it is obvious that the differences between type 1 diabetes and LADA are not very well understood. Similarly, due to certain characteristics of LADA which phenotypically resemble type 2 diabetes, many LADA patients are often initially misdiagnosed as type 2 diabetic patients. Since not much work has been done in the field of LADA in India, where diabetes affects a significant sector of the society, study of prevalence, characteristics and immunological markers of LADA, especially in the Western (Gujarat) population, where the prevalence of diabetes is high, would help in providing valuable insights into the underlying molecular and genetic mechanisms, similarities or differences with other types of diabetes and designing appropriate diagnostic criteria and treatment regimen for such patients.


## 2. Methods

### 2.1. Epidemiological Study

The epidemiological study was carried out on 500 patients randomly selected, having any type of diabetes (excluding prediabetic syndrome or IGT) as per the Study Protocol approved by the Independent Ethics Committee Medilink Research Centre, Medilink Hospital, Ahmedabad, India.


#### 2.1.1. Patient Recruitment and Screening

Patients attending DIACARE Clinic (Ahmedabad) and Medilink Hospital (Ahmedabad) confirmed as diabetic as per WHO criteria [12] were included in the epidemiological study. Patients not having diabetes or who are seriously ill were excluded from the study. All patients were given a patient information sheet and an informed consent form. Blood (10 mL) was collected for determination of various biochemical parameters.


#### 2.1.2. Study Procedure

Various parameters evaluated for the epidemiological study were present age; age at onset of diabetes; duration of diabetes; gender; basal metabolic index (BMI); type of diabetes; family history of diabetes, if any; diet and lifestyle; medical complications; cholesterol levels; HbA1c levels; the current treatment regimen that the patient was following.


### 2.2. Estimation of C-Peptide Levels (β-Cell Function) and GAD Autoantibodies

#### 2.2.1. Patient Recruitment

Eighty diabetic patients from the epidemiological study, attending DIACARE Clinic, and Medilink Hospital, Ahmedabad, were selected and recruited after checking the required inclusion and exclusion criteria. These patients were grouped into the four categories according to their type of diabetes:type-1 diabetes (n=20); type 2 diabetes (n=20); LADA suspects (n=20); and patients newly diagnosed with diabetes and who could not been assigned a particular class of diabetes (n=20).Patients who were seriously ill or who had any specific objection for undergoing the tests for estimation of C-peptide and GAD auto antibodies were excluded from the study.


#### 2.2.2. Determination of C-Peptide Levels

C-peptide levels were determined in the above groups using the EiAsy Way diagnostic kit (Diagnostic Biochem Canada Inc., Canada). The kit was used for the indirect quantitative determination of C-peptide by Enzyme Linked Immunosorbant Assay (ELISA) in human serumin vitro[13].


#### 2.2.3. Estimation of GAD Autoantibodies

GAD autoantibodies were determined in the above-mentioned groups using Isletest GAD diagnostic kit (Biomerica, USA). The kit was used for anin vitro qualitative ELISA test for detection of circulating autoantibodies against GAD antigens [14].


### 2.3. Statistical Analysis

After recording the details of patients, the data was sorted into different groups according to the type of diabetes (type 1, type 2, LADA, and undiagnosed). The mean values were calculated for each parameter and compared in different groups. All results were expressed as mean ± SEM or as percentage. The statistical differences between various groups were evaluated by One Way Analysis of Variance (ANOVA) followed by Tukey’s Test or Chi-Square Test with Yate’s Correction (for nonparametric data). Data were considered significant at P<0.05 and highly significant at P<0.001. Statistical analysis was performed using GraphPad statistical software.


## 2.1. Epidemiological Study

The epidemiological study was carried out on 500 patients randomly selected, having any type of diabetes (excluding prediabetic syndrome or IGT) as per the Study Protocol approved by the Independent Ethics Committee Medilink Research Centre, Medilink Hospital, Ahmedabad, India.


### 2.1.1. Patient Recruitment and Screening

Patients attending DIACARE Clinic (Ahmedabad) and Medilink Hospital (Ahmedabad) confirmed as diabetic as per WHO criteria [12] were included in the epidemiological study. Patients not having diabetes or who are seriously ill were excluded from the study. All patients were given a patient information sheet and an informed consent form. Blood (10 mL) was collected for determination of various biochemical parameters.


### 2.1.2. Study Procedure

Various parameters evaluated for the epidemiological study were present age; age at onset of diabetes; duration of diabetes; gender; basal metabolic index (BMI); type of diabetes; family history of diabetes, if any; diet and lifestyle; medical complications; cholesterol levels; HbA1c levels; the current treatment regimen that the patient was following.


## 2.1.1. Patient Recruitment and Screening

Patients attending DIACARE Clinic (Ahmedabad) and Medilink Hospital (Ahmedabad) confirmed as diabetic as per WHO criteria [12] were included in the epidemiological study. Patients not having diabetes or who are seriously ill were excluded from the study. All patients were given a patient information sheet and an informed consent form. Blood (10 mL) was collected for determination of various biochemical parameters.


## 2.1.2. Study Procedure

Various parameters evaluated for the epidemiological study were present age; age at onset of diabetes; duration of diabetes; gender; basal metabolic index (BMI); type of diabetes; family history of diabetes, if any; diet and lifestyle; medical complications; cholesterol levels; HbA1c levels; the current treatment regimen that the patient was following.


## 2.2. Estimation of C-Peptide Levels (β-Cell Function) and GAD Autoantibodies

### 2.2.1. Patient Recruitment

Eighty diabetic patients from the epidemiological study, attending DIACARE Clinic, and Medilink Hospital, Ahmedabad, were selected and recruited after checking the required inclusion and exclusion criteria. These patients were grouped into the four categories according to their type of diabetes:type-1 diabetes (n=20); type 2 diabetes (n=20); LADA suspects (n=20); and patients newly diagnosed with diabetes and who could not been assigned a particular class of diabetes (n=20).Patients who were seriously ill or who had any specific objection for undergoing the tests for estimation of C-peptide and GAD auto antibodies were excluded from the study.


### 2.2.2. Determination of C-Peptide Levels

C-peptide levels were determined in the above groups using the EiAsy Way diagnostic kit (Diagnostic Biochem Canada Inc., Canada). The kit was used for the indirect quantitative determination of C-peptide by Enzyme Linked Immunosorbant Assay (ELISA) in human serumin vitro[13].


### 2.2.3. Estimation of GAD Autoantibodies

GAD autoantibodies were determined in the above-mentioned groups using Isletest GAD diagnostic kit (Biomerica, USA). The kit was used for anin vitro qualitative ELISA test for detection of circulating autoantibodies against GAD antigens [14].


## 2.2.1. Patient Recruitment

Eighty diabetic patients from the epidemiological study, attending DIACARE Clinic, and Medilink Hospital, Ahmedabad, were selected and recruited after checking the required inclusion and exclusion criteria. These patients were grouped into the four categories according to their type of diabetes:type-1 diabetes (n=20); type 2 diabetes (n=20); LADA suspects (n=20); and patients newly diagnosed with diabetes and who could not been assigned a particular class of diabetes (n=20).Patients who were seriously ill or who had any specific objection for undergoing the tests for estimation of C-peptide and GAD auto antibodies were excluded from the study.


## 2.2.2. Determination of C-Peptide Levels

C-peptide levels were determined in the above groups using the EiAsy Way diagnostic kit (Diagnostic Biochem Canada Inc., Canada). The kit was used for the indirect quantitative determination of C-peptide by Enzyme Linked Immunosorbant Assay (ELISA) in human serumin vitro[13].


## 2.2.3. Estimation of GAD Autoantibodies

GAD autoantibodies were determined in the above-mentioned groups using Isletest GAD diagnostic kit (Biomerica, USA). The kit was used for anin vitro qualitative ELISA test for detection of circulating autoantibodies against GAD antigens [14].


## 2.3. Statistical Analysis

After recording the details of patients, the data was sorted into different groups according to the type of diabetes (type 1, type 2, LADA, and undiagnosed). The mean values were calculated for each parameter and compared in different groups. All results were expressed as mean ± SEM or as percentage. The statistical differences between various groups were evaluated by One Way Analysis of Variance (ANOVA) followed by Tukey’s Test or Chi-Square Test with Yate’s Correction (for nonparametric data). Data were considered significant at P<0.05 and highly significant at P<0.001. Statistical analysis was performed using GraphPad statistical software.


## 3. Results and Discussion

Results of different parameters evaluated amongst different classes of diabetic patients are summarized in Table1.Table 1
Comparative evaluation of different parameters in different types of diabetes including LADA.
ParameterType 1Type 2LADAUndiagnosedPrevalence (%)6.279.259.6Gender-wise prevalenceMales (%)38.762.128054.16Females (%)61.337.872045.83Average age (yrs)21.64±1.9755.69±0.4740.8±1.4844.46±1.56Range (yrs)6–5933–8223–5525–65Mean age at onset of diabetes (yrs)12.55±1.3448.01±0.533.4±2.1537.68±1.28Range (yrs)2–3030–7522–4420–45Prevalence in different age groups (%)MFMFMFMF<12 years16.6610.5200000012–24 years41.6663.1500500025–35 years16.6626.310.80.8152011.536.3636–45 years16.66015.0415.04602030.7622.72>45 years8.33054.1484.14206057.6940.90Family history (% patients)Present35.4857.075270.81Absent65.4242.934829.17Basal metabolic index (BMI, % patients)Underweight (U)38.61.76125Healthy (H)5825.57655Overweight (H)3.247.31235Obese (O)022.905Very obese (VOb)02.2700Mean BMI19.96 ± 0.62927.95 ± 0.2622 ± 0.5525.68 ± 0.65BMI range13.75–2516–4515–2616.5–34Treatment regimen (% patients)Insulin92.53.52012OHA3.565.51653.5Insulin + OHA3.529.56034.5Drug therapy (% patients)1 DT96.41823.6282 DT3.62823.8283 DT02923.812.54 DT021.528.5225 DT0309.4Mean HbA1c levels (%)9.661 ± 1.108.21 ± 0.2510.45 ± 0.757.89 ± 0.47Mean cholesterol levels (mg/dL)No data available181.96 ± 5.28222.33 ± 26.87210.90 ± 13.59Mean C-peptide levels (ng/mL)0.36 ± 0.051.26 ± 0.360.34 ± 0.050.63 ± 0.15GAD autoantibodies0.76 ± 0.050.7 ± 0.060.95 ± 0.061.01 ± 0.07(units/mL)AbsentAbsentPresentPresentAccording to reports,type 2 diabetes constitutes a major section, that is, 80–90% of the total diabetic population [3]. Furthermore, about 20% of the patients diagnosed with LADA may have type 2 diabetes. This accounts for 5–10% of the total diabetes population, the same number as type 1 diabetes [9]. The results of the present study in a diabetic population revealed that the prevalence of type 2 diabetes was the highest (79.2%), followed by type 1 diabetes (6.2%) and LADA (5%) being nearly equal. This implies that the findings are in accordance with the reported data. Another group, comprising of patients who could not be categorized into one particular class of diabetes constituted of around 10% of the total diabetic population.The prevalence of diabetes among males and females varies with geographical location, ethnicity, genetic and environmental factors (Figure1).Figure 1
Prevalence of different types of diabetes in males and females. Black circle: prevalence pattern significantly different intype 1 diabetes as compared to type 2 diabetes (P<0.01). Black square: prevalence pattern significantly different in LADA as compared to type 1  diabetes(P<0.01).According to the global prevalence of diabetes studies, overall, diabetes prevalence is higher in men than in women [15]. The results of the present study revealed that diabetes was found to be more prevalent in men (61%) than in women (39%). Thus the findings are in accordance with the reported data [15, 16]. Further studies on prevalence of different types of diabetes in males and females revealed that there was a significant difference in the prevalence pattern of diabetes in males and females in LADA and type 1 diabetes (P<0.01). Type 1 diabetes was found to be more prevalent in females (61.3%) than in males (38.7%), whereas the prevalence of LADA was significantly more in males (80%) than in females (20%). This suggests that males might be more prone towards development of LADA than females. There was a significant difference in prevalence pattern of type 1 and type 2 diabetes (P<0.01). The prevalence pattern of type 2 diabetes, LADA, and undiagnosed patients was similar with no significant differences. Amongst type 2 diabetes patients, 62.12% were males and 37.87% were females. The similar prevalence pattern was seen in undiagnosed patients, that is, 54.16% males and 45.83% females suggesting that these patients are likely to be type  2or LADA.Studies showed that the average age in different diabetic populations varied significantly. The average age of LADA (40.88±1.48 years) patients was found to be significantly lower than type 2 diabetes and significantly higher than type 1 diabetes (P<0.01). The average age of patients of type 1 diabetes (21.64±1.97 years) was found to be significantly lower than type 2 and LADA (P<0.01). The average age of patients with type 2 diabetes (55.69±0.47 years) was the highest as compared to previous two groups. The average age in undiagnosed patients (44.46±1.56 years) suggested that these patients are more likely to be patients with LADA than that with type 2 diabetes.The average age at onset is a very critical factor in determining the type of diabetes as well as the treatment regimen to be decided for the patient. According to reported data, one of the important identifying characteristics of LADA is adult age at onset (>25 years) [6]. The present studies showed that the average age at onset of diabetes in patients with LADA (33.4±2.15 years) was significantly higher than patients with type 1  diabetes patients (12.55±1.34 years) (P<0.001) and significantly lower than patients with type 2  diabetes (48.01±0.50 years) (P<0.001). The mean age at onset in undiagnosed patients was observed to follow the same pattern (37.68±1.28 years) strongly suggesting that these patients are more likely to be patients of LADA than type 2 diabetes. Results are presented in Figure 2.Figure 2
Average age at onset of different types of diabetes. Black circle: significantly lower age of onset intype 1 diabetes compared to type 2 diabetes (P<0.001) and undiagnosed patients (P<0.001).Black square: significantly higher age of onset in type 2 diabetes compared to undiagnosed patients (P<0.001). Black triangle: significantly lower age of onset in LADA compared to type 2 diabetes (P<0.001) and higher than Type 1 (P<0.001).Further studies regarding the prevalence of diabetes in different age groups revealed thattype 1 diabetes was found to be most frequently occurring in the age group of 12–24 years in both males and females. Similarly type 2 diabetes was found to be most prevalent in males and females above 45 years of age. Interestingly LADA was found to occur most frequently in males of 36–45 years of age, while it was seen to affect most females above 45 years of age. This finding may lead to an assumption that LADA might be affecting females at a higher age than males.The impact of family history of diabetes (FHD) on LADA is less well understood than those fortype 1 and type 2 diabetes [17]. Studies indicate that LADA has the same genetic features characteristic of type 1 diabetes, including an increased frequency of HLADQB1 genotypes [18, 19]. On the other hand, results from a British study indicated that 33% of patients with LADA have relatives with type 2 diabetes [20]. These findings suggest that LADA may share inherited features with both type 1 and type 2 diabetes [11]. Results of family history in different types of diabetes revealed significant differences in the family history pattern of LADA and type 1 diabetes (P<0.05). While family history was absent in majority of patients with type 1 (65.42%), type 2 (57%), LADA (52%) as well as undiagnosed patients (70%) showed significant presence of family history. The pattern seen in undiagnosed patients was significantly different than in type 1 diabetes (P<0.01). There was a significant difference in family history patterns of type 1and type 2 diabetes (P<0.01). Absence of family history in patients with type 1 suggests that β-cell destruction in type 1 diabetes might be due to viral infections or triggered autoimmune mechanisms. The noticeable presence of family history in type 2 diabetes is in accordance with the fact that type 2 diabetes is strongly hereditary in nature. Among LADA patients, a significant population (32%) showed paternal inheritance while a small proportion (8%) showed maternal inheritance, sibling inheritance (8%) and 4% showed both paternal and maternal inheritance. The results are shown in Figure 3.Figure 3
Family history pattern in LADA. F-Father, M-Mother, MF-Mother and Father, B/S- Brother or Sister.Some reports suggest that LADA patients are unlikely to have a family history oftype 2 diabetes [10], while some indicate presence of family history as an important risk factor for the development of LADA [11]. The interesting observation obtained in the present study would possibly open new doors for future exploration regarding pattern of inheritance in LADA patients.In an effort to correlate BMI values with the type of diabetes, it was observed that a majority of patients withtype 1  diabetes were healthy (58%) or underweight (38.6%) in nature suggesting possible alteration of carbohydrate, lipid, and protein metabolisms due to absolute insulin deficiency (Figure 4). The BMI values of patients with type 1 diabetes (19.96±0.629) were significantly lower than patients with type 2 diabetes (27.95±0.26) (P<0.001). BMI values of patients with type 2  diabetes showed that most of the patients of this category were overweight (47.3%). Significant proportions of these patients were found to be obese (22.9%) and very obese (2.27%). This implies that the findings are in agreement with the existing literature which states that obesity is one of the prime factors leading to development of type 2 diabetes and insulin resistance [21]. Furthermore, the BMI values of LADA patients (22±0.55) were significantly lower than patients with type 2 diabetes (P<0.001) confirming the nonobese nature of these patients. None of the patients were obese which rules out the involvement of obesity and insulin resistance in development of LADA. Most of the patients (76%) displayed BMI values corresponding to healthy individuals suggesting that the gradual β-cell destruction in LADA is insufficient to cause significant weight loss. Reports suggest that BMI values are lower in LADA patients compared to patients with type 2 diabetes[22]. Thus our findings were in accordance with the reported data. The mean BMI levels in undiagnosed patients (25.68±0.65) were significantly lower than patients with type 2 diabetes (P<0.05) and higher than patients with type 1 diabetes (P<0.001). A majority of the undiagnosed patients (55%) were found to be healthy, while a noticeable proportion (35%) was found to be overweight, though the proportion of overweight patients (35%) was relatively less in undiagnosed patients than that of type 2 diabetics (47.3%) suggesting that these patients are likely to be patients of LADA.Figure 4
BMI values in different types of diabetes. U-Underweight, H-Healthy, O-Overweight, Ob-Obese, Vob-Very Obese.Studies related to the treatment regimen for patients with different types of diabetes revealed that almost all (92.5%) patients withtype 1 diabetes maintained optimum BSL with insulin. Majority of patients with type 2  diabetes (65.5%) were treated with oral hypoglycemic agents (OHA) while a noticeable proportion (29.5%) was on a combination of insulin and OHA suggesting development of progressive insulin dependence due to impairment in insulin secretion by various mechanisms [21, 23]. Figure 5 depicts the results of statistical analysis on treatment regimen for different diabetic patients.Figure 5
Treatment regimen for different types of diabetes. I-Insulins, OHA-Oral Hypoglycemic Agents.One of the major characteristics of LADA patients is initial response to OHA treatment [6]. Insulin dependency develops within a few years with gradual β-cell destruction necessitating a combined therapeutic regimen. In agreement with the reported literature, a major proportion of LADA patients (60%) were found to be taking a combination of insulin and OHA. The observation would help in designing an effective therapeutic regimen for LADA patients, that is, a combined treatment should be prescribed at the time of diagnosis of LADA to preserve the remaining β-cell mass though it is still unclear whether early treatment with insulin is beneficial for the remaining β-cells [9]. Additionally, an initial response to OHA with gradual insulin dependency observed in patients younger than the usual age occurrence of type 2  diabetes would be a strong identifying characteristic for LADA patients. Thus the type of treatment that patients comply to, the most, can be predictive in different types of diabetes, specifically, LADA. A majority of the undiagnosed patients (53.5%) were found to be on OHA, while a noticeable proportion (34.5%) was found to be on a combined treatment. The proportion of patients under combined treatment (34.5%) was relatively more than that of patients with type 2 diabetes (29.5%) on a combined treatment. The numbers of undiagnosed patients on OHA alone were less than that with type 2 diabetes, while the number of patients on insulin and OHA was more than that with type 2 diabetes. This strongly suggests that these are likely to be LADA patients who initially respond to OHA, but insulin dependency may occur within some time and the number of patients on a combined treatment may increase in near future.Furthermore, a detailed study about the drug therapy distribution in different types of diabetic patients was performed and patients were evaluated for the type of therapy being given, that is, monodrug therapy or multidrug therapy. Almost all patients withtype 1  diabetes (96.4%) showed optimum BSL with exclusive insulin monotherapy. No clear indication was observed for the remaining types of diabetes indicating that optimum BSL were maintained by a multidrug therapy (insulin + OHA or a combination of various OHA).The HbA1c levels determination in diabetes gives an idea about the glycemic control during the last three months. Generally values above normal values (5–7%) indicate a poor glycemic control [24]. HbA1c levels determined in patients with different types of diabetes showed that LADA patients (10-11%) had significantly higher levels compared to type 1 (9-10%) and type 2 diabetes (8–8.5%) (P<0.05). This was in agreement with the published data [23]. This shows poorer glycemic control in LADA patients compared to type 1 and type 2 diabetes. Patients withtype 1  diabetes showed relatively higher values as compared to patients with type 2  diabetesand lower than that of patients with LADA. Undiagnosed patients showed HbA1c values (7-8%) similar to patients with type 2 diabetes. The values were higher than normal HbA1c levels (5–7%) in all patients, indicating poor glycemic control in all patients [24].Determination of serum cholesterol levels revealed that LADA patients (200–250 mg/dL) had significantly higher cholesterol levels than patients withtype 2 diabetes (180–190 mg/dL), which was found to be in accordance with existing data [4]. This indicates that LADA patients are at a higher risk of developing cardiovascular complications than patients with type 2 diabetes. No data was available for patients with type 1 diabetes. Interestingly, undiagnosed patients also displayed cholesterol values greater than that of patients with type 2 diabetes suggesting possible categorization of these patients as LADA patients.C-peptide is secreted at equimolar concentrations with insulin and is not degraded as rapidly as insulin. Hence determination of C-peptide is an advantageous test to quantify insulin and therefore to evaluateβ-cell function. Since LADA is an autoimmune type of diabetes characterized by progressive β-cell destruction, estimation of C-peptide levels would prove to be an important measure to evaluate insulin secretion and β-cell function. The results of the C-peptide determination showed significantly low levels of C-peptide in LADA patients (0.34±0.05 ng/mL) compared to patients with type 2 diabetes (1.26 ng/mL) (P<0.05). This is in accordance with existing data [6]. Many other studies suggested that LADA (also known as Ab positive type 2 diabetes) has lower C-peptide levels than patients with Ab negative type 2 diabetes [25–27]. Patients with type 1  diabetes also displayed lower C-peptide values (0.36±0.05 ng/mL) as compared to patients with type 2  diabetes. Low C-peptide values in both the cases suggest insulin deficiency due to autoimmune β-cell destruction. Patients with type 2  diabetes displayed higher C-peptide values (1.26±0.36 ng/mL) which show hyperinsulinemia due to compensatory increase in insulin secretion due to insulin resistance in type 2 diabetes. C-peptide values of undiagnosed patients were found to be higher than that of patients with type 1 and LADA, but noticeably lower than that of patients with type 2 diabetes (0.63±0.15 ng/mL) suggesting that insulin deficiency could progress with time and lower C-peptiode values may be achieved at a later stage. This indicates that these patients are likely to be patients of LADA. Results are presented in Figure 6.Figure 6
Mean C-peptide levels in different types of diabetes. Black circle: significantly lower C-peptide levels intype 1 diabetes as compared to type 2 diabetes (P<0.05). Black square: significantly higher C-peptide levels in type 2 diabetes as compared to type 1 diabetes and LADA (P<0.05). Black triangle: significantly lower C-peptide levels in LADA as compared to type 2 diabetes (P<0.05).The immunological evidence, common in bothtype 1 diabetes and LADA, is demonstrated by the presence of autoantibodies against islet cell antigens in the patients’ sera. Specifically, these antigens include 65 kDa glutamic acid decarboxylase (GAD65) and insulinoma-associated antigen (IA2). While type 1 diabetes shows both these autoantibodies, LADA typically demonstrates production of GAD65 autoantibodies [14]. Hence estimation of GAD autoantibodies can be used as an important diagnostic marker for diagnosis of LADA. Since the test was qualitative in nature, GAD autoantibodies levels above 0.95 units/mL indicated presence of GAD autoantibodies, while levels below this indicated absence of autoantibodies. Results of GAD autoantibodies determination revealed marked presence of GAD autoantibodies predominantly in LADA patients (0.95±0.06 units/mL) as compared to patients with type 2 diabetes (P<0.05) (Figure 7).Figure 7
Mean GAD autoantibodies levels in different types of diabetes. Black square: significantly lower GAD autoantibodies levels intype 2 diabetes as compared to type 1 diabetes, LADA, and undiagnosed patients (P<0.05). Black circle: significantly higher GAD autoantibodies levels in LADA as compared to type 1 diabetes and type 2 diabetes (P<0.05). Black triangle: significantly higher GAD autoantibodies levels in undiagnosed patients as compared to type 1 diabetes (P<0.01) and type 2 diabetes (P<0.05). (+) indicates presence of GAD auto antibodies. (−) indicates absence of GAD auto antibodies.GAD autoantibodies were significantly present in undiagnosed patients (1.01±0.07 units/mL) as compared to patients with type 2 diabetes (0.7±0.06 units/mL) and type 1 diabetes (0.76±0.05 units/mL). This strongly depicts autoimmune nature of the disease, especially LADA, which is significantly in accordance with the existing data [6]. The characteristic presence of these antibodies in undiagnosed patients further strengthens the fact that these patients are most likely to be patients of LADA. The absence of GAD autoantibodies in type 2 diabetes implicates nonautoimmune nature of the disease [28, 29]. The absence of these autoantibodies in type 1 diabetes do not imply that the disease is nonautoimmune in nature, but merely suggests that other autoantibodies like ICA, IA2, or tyrosine phosphatase autoantibodies may be involved [30, 31].


## 4. Conclusions

LADA patients comprise an important section of the diabetic population, its prevalence being nearly equal as that oftype 1 diabetes. It can be characterized predominantly by adult age at onset (30–40 years), nonobese body type, and initial response to OHA gradually leading to insulin dependency, characteristically low C-peptide levels, and marked presence of GAD autoantibodies. Thus determination of C-peptide levels and GAD autoantibodies is strongly recommended for confirmatory diagnosis of LADA. The characteristic presence of GAD autoantibodies in LADA implies that further studies that identify possible role of GAD autoantibodies in LADA may help in understanding the pathogenesis of the disease. Interestingly the study showed that LADA seems to affect males more than females. LADA patients have also shown significant presence of family history, further exploration of which would provide newer insights into the role of family history as an important risk factor in development of LADA. Furthermore, genotyping of LADA patients will prove to be substantial in understanding the role of various genes involved in the disease. In conclusion, it appears that, while some anthropologic characteristics can be useful for the preliminary screening of LADA patients in a diabetic population, C-peptide levels and GAD autoantibodies determination can be considered as confirmatory diagnostic markers for LADA. Appropriate diagnosis of LADA would prevent misdiagnosis as type 2 diabetes and would help in optimum treatment of LADA patients so that residual β-cell function is preserved and the further autoimmune destruction of β-cells is delayed. For further information, see Supplementary Material available online at doi:10.5402/2012/580202.



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