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Beneficial effects of long-term liraglutide monotherapy on glycemic control and diabetic microangiopathies in a female Japanese diabetic patient with familial partial lipodystrophy 1

Iwanishi M

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Azuma C

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

Tezuka Y

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

Yamamoto Y

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

Ito-Kobayashi J

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

Washiyama M

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

Shimatsu A

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

Mizuno A

Department of Ophthalmology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

Osafune Y

Department of Ophthalmology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

DOI: 10.15761/DU.1000150

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Abstract

We experienced the case that a Japanese female diabetic patient with partial lipodystrophy continued liraglutide monotherapy for a long period on her will. At first examination, she had poor glycemic control and body weight reduction with decreased fat mass had been caused by uncontrolled diabetes. She had severe non-proliferative diabetic retinopathy and nephropathy with microalbuminuria. When she had weight gain after her glycemic control was improved, she still had fat loss in the lower limbs with abdominal fat excess. She had insulin deficiency and relatively severe insulin resistance. According to the clinical findings and genetic analysis, she might fit the category of familial partial lipodystrophy (FPLD)1. We administered liraglutide for her diabetes care, as previous report suggested the effectiveness of liraglutide in patients with FPLD1 for about three months. We assessed changes in fat distribution and insulin resistance during liraglutide therapy using dual energy X-ray absorptiometry (DEXA) and the oral glucose tolerance test (OGTT). Liraglutide effectively has achieved favorable glycemic and body weight control for a long period. The DEXA showed that fat mass in the upper limbs and trunk was increased, but we could speculate no further increase as her body weight was stable. The OGTT showed the amelioration of insulin resistance and insulin secretory capacity adjusted for insulin sensitivity. We thought that this might be caused by the blood-glucose-reducing effects of liraglutide and preventive effects on obesity through increasing the fat storage capacity of adipocytes. The intensified multifactorial intervention with liraglutide, anti-hypertensive drugs, and statin attenuated diabetic microangiopathies. The present case suggests that liraglutide might be as an efficient therapeutic option through its pleiotropic effects in diabetic patients with FPLD1.

Key words

partial lipodystrophy, familial partial lipodystrophy 1, a glucagon-like peptide-1 receptor agonist, liraglutide, diabetic microangiopathies

Introduction

Lipodystrophy has been classified as inherited or acquired with the general or partial loss of adipose tissue deposits [1]. It is commonly associated with dyslipidemia, hepatic steatosis, and insulin-resistant diabetes. Familial partial lipodystrophy (FPLD) 1, also known as Köbberling type, is generally autosomal dominant; however, its genetic cause remains unknown. It is characterized by fat loss in the lower limbs with abdominal fat accumulation, a high rate of positivity for a family history, and metabolic disturbances [1-5]. Previous studies reported that FPLD1 is more common than considered in American and Japanese diabetic outpatient clinics [2,4,5]. Patients with FPLD1 frequently have insulin resistance due to abdominal fat accumulation and lipotoxicity in muscle and liver, caused by fat loss in the lower limbs. Therefore, they often have difficulty in maintaining good glycemic control and are predisposed to the deterioration of diabetic microangiopathies, including retinopathy and nephropathy. These patients are also predisposed to the development of severe atherosclerosis, caused by atherogenic risk factors, such as diabetes, dyslipidemia, and hypertension.

Type 2 diabetes is characterized by multiple pathophysiological disturbances, referred to as the ominous octet [6]. The glucagon-like peptide 1 (GLP-1) receptor agonist, liraglutide is used to treat 6 out of the 8 components, including the two major core defects, β-cell dysfunction and insulin resistance, in type 2 diabetics [7]. Liraglutide also exerts body weight-reducing effects through the suppression of gastrointestinal peristalsis and feeding central function in the hypothalamus and has been emphasized as an important drug for obese patients with type 2 diabetes [7,8]. Oliveira et al. was the first to show that GLP-1 receptor agonists effectively achieved favorable glycemic control for 3 or 4 months in two patients with partial lipodystrophy who appeared to fit the category of FPLD1 [9]. However, the long-term effects of GLP-1 receptor agonists on glycemic control and diabetic complications in patients with FPLD1 currently remain unclear.

The results of the present study indicated that the long-term administration of liraglutide effectively achieved glycemic and body weight control in a female Japanese diabetic patient. We performed dual energy X-ray absorptiometry (DEXA) and the oral glucose tolerance test (OGTT) twice during the liraglutide treatment to assess changes in fat distribution and insulin resistance, and the results obtained enabled us to speculate the mechanisms by which liraglutide may contribute to maintaining glycated hemoglobin A1c (HbA1c) reductions. Furthermore, we herein demonstrated that a long-term treatment with liraglutide, anti-hypertensive drugs, and statin may also have been beneficial for diabetic microangiopathies and macroangiopathy in this patient.

Case report

The present case was reported as case 5 of FPLD1 in our previous study [5]. Figure 1 and Figure 2 were reproduced from our previous study with permission [5].

Figure 1. (A)The family pedigree of this patient. The proband is denoted by an arrow (B) Images taken in the first fundoscopic examination by an ophthalmologist on 31 Aug. 2011 (C) The right diabetic foot ulcer at her first visit was shown. Figure 1C was reproduced from our previous study with permission [5]

Patient profile and the clinical course of a diabetic foot ulcer

A 50-year-old woman was admitted to our hospital with a right diabetic foot ulcer (Figure 1) for 3 weeks in Sep 2011 and was diagnosed with diabetes mellitus for the first time. On admission, her temperature was 37.2 °C, blood pressure 182/100 mmHg, weight 55.5 kg, height 163 cm, and body mass index (BMI) 20.9 kg/m2. Seven years before her admission, her body weight was 65 kg, which suggested BMI of 24.4 kg/m2. Thus, she had lost approximately 9kg from seven years ago, although her oral intake was not inadequate. She had severe and moderate non-proliferative diabetic retinopathy in the right and left eyes, respectively (Figure 1). She also had diabetic nephropathy with microalbuminuria, but not diabetic neuropathy. Laboratory findings (Table 1) showed that her HbA1c level was 11.3%, serum cholesterol level 182 mg/dL, WBC 13,900/µL, and CRP level 12.5 mg/dL. She was a smoker (10 cigarettes a day for 30 years), but rarely drank alcohol. The right foot ulcer was treated with surgical debridement and antibiotics. Her diabetic foot ulcer completely healed one month after these treatments.

Table 1. Laboratory data for our patient

Time

Aug.2011

Jun.2012

 

Metabolic variables

 

 

Normal Values

HbA1c (%)

11.3

6.5

4.6 - 6.2

Plasma glucose (mg/dL)

314

127

70 - 109

Plasma insulin (μU/mL)

ND

12.8

2.7 - 10.4

Serum cholesterol (mg/dL)

182

177

130 - 219

Serum triglyceride (mg/dL)

ND

79

30 - 149

Serum HDL cholesterol (mg/dL)

ND

46

40 - 90

Serum leptin (ng/mL)

ND

4.9

 

Serum adiponectin (μg/mL)

ND

4.1

 

WBC (102/μL)

139

74

35 - 91

Hb (g/dL)

12.7

12.1

11.3 – 15.2

PLTs (104/μL)

31.8

20.4

13.0 – 36.9

CRP (mg/dL)

12.5

ND

0.3 ≧

AST (U/L)

8

19

8 - 38

ALT (U/L)

8

30

4 - 43

LDH (U/L)

136

165

121 - 245

Blood sample on Aug. 2011 was obtained after breakfast, while blood sample on Jun.

2012 was obtained after a 12-hour overnight fast

As shown in Figure 2, diabetic diet therapy of 1,600 Kcal and 3 units of novorapid immediately before each meal (9 units of insulin daily) were initiated. Five months after favorable glycemic control had been achieved, insulin was switched to liraglutide therapy (initially 0.3 mg and increased to 0.6 mg daily). At her request, she continue liraglutide therapy without any other hypoglycemic drugs. Liraglutide therapy achieved favorable glycemic control for 7 years. As shown in Figure 3, telmisartan 40 mg and azelnidipine 16 mg were administered for hypertension in Sep. 2011, followed by pravastatin 10 mg to prevent atherosclerosis in Mar. 2012. Blood pressure was controlled at 120/70 mmHg and her serum cholesterol level has remained within normal ranges (Table 1).

Figure 2. Clinical course and changes in glycated hemoglobin (HbA1c) levels and body weight between 2011 and 2019. Body weight was 55.5 kg in Sep. 2011. Seven years before her admission, body weight was 65 kg. After insulin had been administered for 5 months, her HbA1c level decreased to 7.1% from 11.3% on admission and body weight gain of approximately 4 kg was observed 3 months after the initiation of insulin. After switching to 0.6 mg liraglutide in Feb. 2012, she achieved a favorable HbA1c level and body weight fluctuated between 56 and 57 kg. DEXA was performed in Sep. 2011 and Oct. 2018 and MRI in Oct. 2011, while OGTT was performed in Jun. 2012 and Aug. 2018

Changes in fat distribution, insulin resistance, and glycemic control during liraglutide therapy in this patient

We examined the body composition of our patient using a DEXA scan twice (Sep. 2011 and Oct. 2018). As shown in Table 2, the body composition of this patient on DEXA was compared with those in BMI- and age-matched groups (Controls 1 and 2 groups, respectively). Control 1 group with 56 healthy female volunteers aged between 40 and 49 years were recruited from the employees of Tanita, Inc. Control 2 group with 41 healthy female volunteers aged between 50 and 59 years was also recruited from the employees of Tanita. Inc. The mean ages of Control groups 1 and 2 were 45.1 and 52.8 years, respectively, while mean BMI were 22.7 and 23.5 kg/m2, respectively. Truncal fat mass in DEXA in Sep. 2011 in our patient was higher than those in Control groups 1 and 2, while lower limb fat mass was lower than those in Control groups 1 and 2. DEXA in Oct. 2018 revealed that her body weight had increased by approximately 1.5 kg due to favorable glycemic control. Total fat mass in DEXA in Oct. 2018 was 4.1 kg higher than that in DEXA in Sep. 2011, whereas total lean mass was 2.2 kg lower. Truncal fat mass was higher and fat loss was greater in the lower limbs in DEXA in Oct. 2018 than in Control groups 1 and 2. Lower limb fat mass in DEXA in Oct. 2018 was 3.9 kg, being less than the mean -2SD of that of Control group 1. This result indicated how fat is distributed in patients with FPLD1. We previously reported that the fat mass ratio (FMR) is useful for diagnosing FPLD 1 [4]. FMR is the ratio of the percentage of trunk fat mass to that of lower limb fat mass. FMR was 1.2 in two DEXA in this patient, while mean FMR in Control 1 group was 1.0. Figure 3 shows magnetic resonance imaging (MRI) when her body weight was 55.5 kg. Fat loss was observed in the lower limbs with the preservation of subcutaneous fat in thoracic and abdominal regions.

Figure 3. MRI in body was performed in Oct. 2011 when her body weight was 55.5kg (A) Thoracic MRI taken at the level of the seventh thoracic vertebrae (left panel) and abdominal MRI at the umbilical level (right panel) showed the preservation of subcutaneous fat in thoracic and abdominal regions (B) T1-weighted MRI taken at the level of gluteal fat indicated a decrease in gluteal subcutaneous fat, as shown by arrows (C) MRI taken at the level of the thigh (left panel), calf (middle panel), and left leg (right panel) were shown. The patient had very little subcutaneous fat, particularly in the antero-lateral and posterior thigh regions, indicated by arrows, whereas subcutaneous fat in the internal thigh region remained. She had the near-complete loss of subcutaneous fat in the entire circumference of the calf, as indicated by arrows. She had the almost complete absence of dorsal and plantar subcutaneous fat, as indicated by arrows (D) MRI taken at the level of the right arm (left panel) and forearm (right panel) revealed the preservation of subcutaneous fat and the almost complete absence of subcutaneous fat in the antero-lateral and posterior forearm regions, as indicated by arrows; however, small amounts of subcutaneous fat in the internal forearm were preserved (E) Magnetic resonance angiography (MRA) of the lower limbs was performed in Jul. 2019. Figure A-D were reproduced from our previous study with permission [5]

Table 2. Body composition of this patient in DEXA

Time

2011
September

2018
October

Control 1 (n=56)

Control 2 (n=41)

Gender

Female

Female

Female

Female

Age (y)

50

57

45.1±2.8

55.2±3.1

Height (cm)

163.0

163.0

156.1±4.9

156.8±4.7

Body weight (kg)

55.5

57.0

55.1±6.7

55.1±6.3

BMI (kg/m2)

20.9

21.5

22.7±3.0

23.5±2.9

Fat (%)  Total % Fat

25.2

31.8

30.3±6.2

31.4±6.5

Upper Limbs % Fat

29.1

39.1

27.6±7.1

29.6±7.8

Trunk % Fat

26.1

33.8

28.4±7.7

31.2±7.6

Lower Limbs % Fat

22.0

28.1

33.2±5.7

32.5±6.2

Fat Mass (kg) Total Fat Mass

13.7

17.8

16.8±5.2

17.3±5.3

Upper Limbs Fat Mass

1.6

2.4

1.4±0.3

1.6±0.3

Trunk  Fat Mass

7.9

10.6

7.1±2.8

8.0±2.9

Lower Limbs Fat Mass

3.5

3.9

7.0±1.0

6.5±0.9

Lean Mass (kg) Total Lean Mass

38.9

36.7

35.3±3.1

34.6±3.0

Upper Limbs Lean Mass

3.5

3.6

3.4±0.2

3.4±0.3

Trunk  Lean Mass

21.8

20.4

16.3±1.3

16.3±1.7

Lower Limbs Lean Mass

10.4

9.7

13.1±0.9

12.3±0.7

Fat mass Ratio(FMR)

1.2

1.2

1.0±0.3

 

Normal values in Control 1 were obtained from 56 healthy women between the ages of 40 and 49 years.

Normal values in Control 2 were obtained from 41 healthy women between the ages of 50 and 59 years.

Values in Control 1 and Control 2 were expressed as mean ±SD

We also performed OGTT on our patient in Jun. 2012 and Aug. 2017 and assessed glucose tolerance, insulin secretion, and insulin resistance. We presented the values for the homeostasis model assessment of insulin resistance (HOMA-IR), homeostasis model assessment of β-cell function (HOMA-β), Matsuda index, disposition index, and insulinogenic index in 17 normoglycemic subjects with a mean age of 53.3 years and mean BMI of 23.6 kg/m2 in Table 3 [10-12]. We converted plasma glucose and plasma insulin from mmol/L and pmol/L to mg/dL and μU/ml. Based on these values, we converted the values in disposition index and insulinogenic index drawn from reference 10 to the values, which we presented in Table 3. Regarding the insulin secretory capacity, the two sets of results obtained in OGTT showed a lower HOMA-β, disposition index, and insulinogenic index than those in normal subjects. Concerning insulin resistance, HOMA-IR was 4.0 and the Matsuda index was 2.0 in OGTT in Jun. 2012; HOMA-IR was higher, while the Matsuda index was lower than those in normal subjects. Yamada et al. showed that HOMA-IR ≥2.5 indicates insulin resistance in Japanese individuals [13], while Takahara et al. reported that a Matsuda index <4.3 suggests insulin resistance in Japanese individuals [14]. The values obtained for our patient indicated the presence of insulin resistance. Therefore, we found insulin resistance in addition to an insulin secretory defect in this patient. In contrast, OGTT in Aug. 2017 showed a lower HOMA-IR and higher Matsuda index than those in OGTT in Jun. 2012, but hyperinsulinemia at 2 hour. Thus, this result suggested the amelioration of, but still persistent, insulin resistance. In addition, it showed higher disposition index, suggesting that an insulin secretory capacity adjusted for insulin sensitivity was improved.

Table 3. Oral glucose tolerance test and profile of insulin secretion and insulin resistance in this patient

Time

BW
(kg)

BMI
(kg/m2)
at OGTT

HbA1c (%)

 

Time(min)

HOMA-IR

HOMA-β

Matsuda
Index

Disposition Index

Insulinogenic

Index

0

30

60

120

JUN
2012

60.5

22.8

6.6

Plasma glucose(mg/dL)

127.0

179.0

249.0

262.0

4.0

72.0

2.0

0.6

0.28

Plasma insulin(μU/mL)

12.8

27.3

54.2

157.6

August
2017

55.8

21.1

6.0

Plasma glucose(mg/dL)

110.0

178.0

206.0

217.0

2.2

62.0

3.4

0.9

0.25

Plasma insulin(μU/mL)

8.1

25.3

34.4

123.3

The values in
normoglycemic subjects

n

Age
(years)

BMI
(kg/m2)
at OGTT

 

1.92
(1.25)

78.3
(46.1)

5.62
(2.87)

1.61
(0.54)

0.62
(0.48)

17

53.3
(3.3)

23.6
(2.7)

BW: Body Weight OGTT: Oral Glucose Tolerance Test

HOMA-IR: Homeostasis model assessment of insulin resistance

HOMA-β: Homeostasis model assessment of β-cell function

The Mean±SD in normoglycemic subjects are in the bottom. The figures in parentheses are SD.

These values were drawn from Reference [10]

Whole-exome sequencing has been performed to examine whether patients have mutations in candidate genes that are associated with FPLD, including LMNA, PPARG, PLIN1, CIDEC, LIPE, ADRA2, and AKT2 [4,5]. Our patient did not have mutations in the candidate genes associated with FPLD or any novel candidate causal genes. We showed the family pedigree of this patient based on an interview (Figure 1). Her mother and grandfather had diabetes with fat loss in the lower limbs, suggesting an autosomal dominant pattern of inheritance. She noted fat loss in the lower limbs during adolescence. Therefore, she appeared to fit the category of FPLD1. However, we were unable to perform genetic analyses or obtain any clinical data on any other family members.

Diabetic microangiopathies and macroangiopathy

As shown in Figure 1, images taken in the first fundoscopic examination by an ophthalmologist showed microaneurysms, hard exudates, cotton-wool spots, and intra-retinal hemorrhage in the four quadrants of her right eye, suggesting severe non-proliferative diabetic retinopathy, as well as microaneurysms, hard exudates, cotton-wool spots, and intra-retinal hemorrhage in fewer than the four quadrants in her left eye, indicating moderate non-proliferative diabetic retinopathy. Corrected vision in the right and left eyes were 6/8 and 6/7, respectively. Since she had severe diabetic retinopathy, she received regular eye examinations. Fluorescein angiography was performed one week after the fundoscopic examination. It showed a broad non-perfused area in the right retina, on which laser photocoagulation was performed. One year after the initiation of diabetic medication, fluorescein angiography showed that the non-perfused area had increased in her left retina; therefore, laser photocoagulation was also performed on the left retina in 2012. As shown in Figure 4, optical coherence tomography (OCT) initially did not show any diabetic macular edema (DME). However, DME was detected in the right and left eyes in Jan. 2013 and Mar. 2013, respectively. Laser photocoagulation was subsequently performed around the right macula, resulting in a decrease in vision to 6/20. DME was resolved in both eyes in 2014 after her glucose profile had been stabilized. She underwent vitrectomy for vitreous hemorrhage of the left fundus in 2016. As shown in Figure 4, her fundus was stable in the most recent fundoscopic examination conducted by the ophthalmologist in Feb. 2020, and final corrected vision in the right and left eyes were 6/20 and 6/6, respectively.

Figure 4. (A) Optical coherence tomography (OCT) images showing chronological changes from 2011 to 2018. OCT images in Aug. 2011 and Jan. 2013 were obtained by Carl Zeiss OCT-3000, and in Mar. 2013, Jun. 2013, Apr. 2014, and Apr. 2018 by TOPCON OCT-2000. OCT in the first examination by the ophthalmologist in Aug. 2011 showed no diabetic macular edema (DME). The OCT image in Jan. 2013 showed the deterioration of DME in the right eye. Approximately 1.5 years after the initiation of diabetic medication, the OCT image in Mar. 2013 showed the deterioration of DME in the left eye. However, since blood glucose levels had been improving, the OCT image showed the attenuation of DME in both eyes since 2014 (B) When fundoscopic photography was performed in the most recent examination by the ophthalmologist in Feb. 2020, her fundus was stable and corrected vision in right and left eyes were 6/20 and 6/6, respectively, suggesting the preservation of vision

Figure 5 shows the clinical course of the estimated glomerular filtration rate (eGFR) and excretion of urinary albumin. She initially exhibited glomerular hyperfiltration and increased microalbuminuria. However, during an intensified multifactorial intervention, both parameters of diabetic nephropathy gradually decreased to normal levels.

Figure 5. Changes in albuminuria (mg/g/Cre) and eGFR (mL/min/1.73 m2) between 2011 and 2018. Urinary albumin levels in individual years were the mean values of two random urine samples. Liraglutide 0.6 mg was administered in Feb. 2012. Telmisartan 40 mg and azelnidipine 16 mg were administered for hypertension in Sep. 2011 and pravastatin 10 mg for the prevention of atherosclerosis in Mar. 2012. Her urinary albumin level on admission was 271.2 mg/g/Cre, suggesting that she had diabetic nephropathy with microalbuminuria. eGFR on admission was 124.0 mL/min/1.73 m2, suggesting hyperfiltration in the glomerulus. Since her blood glucose level was improving, her urinary albumin level gradually decreased to the normal range and a reduction in eGFR to 89.8 mL/min/1.73 m2 was also observed

Regarding atherosclerosis, the right and left ankle brachial pressure indexes (ABI) on admission were 0.95 and 0.87, respectively; however, both ABI subsequently improved and stabilized to within normal ranges. As shown in Figure 3, bilateral lower limb magnetic resonance angiography (MRA) performed in 2019 showed no narrowing of the arteries from the aorta to the bilateral popliteal region. Images of the right posterior tibial artery (PTA), left anterior tibial artery (ATA), and left PTA were unclear. Bilateral carotid arterial echography performed in 2011 on this patient showed no atherosclerotic lesions. However, we were unable to assess the degree of atherosclerosis in coronary arteries and cerebral arteries because the patient refused to undergo multidetector-row computed tomography (MDCT) containing 64 slices or brain MRA.

Discussion

We herein assessed changes in fat distribution and insulin resistance during liraglutide therapy using DEXA and OGTT. In the first visit, body weight was 55.5 kg. The patient had lost approximately 9 kg from seven years ago, although her oral intake was not inadequate. Retinopathy showed severe non-proliferative diabetic retinopathy and her HbA1c level was 11.0%. Therefore, she had poor glycemic control for a long period and body weight reductions with decreased fat mass had been caused by uncontrolled diabetes [15]. Her body weight increased by approximately 1.5 kg in DEXA in Oct. 2018 after achieving favorable glycemic control. Truncal fat mass and upper limb fat mass were higher than in DEXA in Sep. 2011. In contrast, lower limb fat mass only slightly increased. This result supported previous findings showing that preadipocytes differentiate less efficiently to mature adipocytes due to a genetic defect in adipocyte differentiation in lipodystrophic areas [16,17]. OGTT revealed insulin resistance. We previously reported that the cut-off point of FMR to diagnose lipodystrophy is 1.2 (sensitivity 100%, specificity 91%) [4]. Since FMR in this patient was 1.2, we suspected lipodystrophy. Thus, the present results appear to support the diagnosis of partial lipodystrophy in our patient.

The majority of diabetic patients with FPLD1 have multiple pathophysiological disturbances, referred to as the ominous octet in type 2 diabetes. We found that the long-term administration of liraglutide effectively achieved favorable glycemic control in this patient. The three main factors that contributed to this result, namely, the amelioration of insulin resistance and an insulin secretory defect as well as other factors, are important.

The attenuation of insulin resistance is a crucial factor, to which favorable glycemic control may contribute. This patient had uncontrolled diabetes with a decreased fat mass in her first visit. Total fat mass was 4.1 kg higher in DEXA in Oct. 2018 than in DEXA in Sep. 2011, whereas total lean mass was 2.2 kg lower. Truncal fat mass and upper limb fat mass in DEXA in Oct. 2018 following favorable glycemic control were larger than in DEXA in Sep. 2011. The increase observed in fat mass may be associated with the maintenance of favorable glycemic control. Based on changes in body composition assessed by DEXA and CT, liraglutide reduces fat mass rather than lean mass and decreases the visceral adipose tissue area more than the subcutaneous area in patients with type 2 diabetes [18,19]. Changes in fat mass in our patient were incompatible with these findings and may be attributed to the change from long-term uncontrolled diabetes to controlled diabetes. Under poor long-term glycemic control, weight loss, a decrease in fat mass, malnutrition, and dehydration are reported in many cases. Glucose utilization efficiency is low and, thus, fat is consumed to obtain energy; therefore, lipolysis is promoted in adipose tissue. In patients with hyperglycemia, the fat storage capacity of adipocytes decreases due to enhanced oxidative stress and the exacerbation of inflammation [20,21]. Furthermore, the differentiation capacity from preadipocytes to mature adipocytes decreases, thereby reducing the number of adipocytes. Thus, the decreased fat mass associated with uncontrolled diabetes may be attributed to a reduced fat storage capacity in adipocytes with smaller fat cell numbers. Therefore, the maintenance of glycemic control by liraglutide may increase the fat storage capacity of adipocytes through the prevention of oxidative stress, amelioration of inflammation, and increases in fat cell numbers by enhancing the differentiation capacity of mature adipocytes from preadipocytes. These results suggest that the maintenance of glycemic control by liraglutide causes healthy adipose expansion from unhealthy adipose expansion in adipocytes [22,23]. Improved fat cell function may decrease ectopic lipid deposition in the liver and muscle through fat loss in the lower limbs, resulting in the attenuation of insulin resistance [24].

The prevention of obesity, particularly excess truncal fat, may have also contributed to the attenuation of insulin resistance in our patient. Patients with FPLD1 often have difficulty in maintaining good glycemic control with classical therapeutic options. Pinnick et al. previously reported that android fat mass was positively associated with insulin resistance, while gynoid fat mass was negatively associated with insulin resistance [25]. They also showed that based on an analysis of transcriptional genes, abdominal subcutaneous fat was associated with the stronger expression of proinflammatory cytokines, which are associated with insulin resistance. Furthermore, Melvin et al. demonstrated that metabolic surgery was effective for glycemic control in patients with FPLD1 [26]. They suggested that this may have been due to the attenuation of insulin resistance after a decrease in truncal fat mass. Thus, truncal fat appears to play an important role in insulin resistance in patients with FPLD1. Since liraglutide exerts body weight-reducing effects with decreases in fat [18,19], it may prevent excess truncal fat and inhibit severely hypertrophied adipocytes with unhealthy adipose expansion [22,23]. This appears to be one of the main mechanisms by which liraglutide maintained favorable glycemic control in our patient. Previous studies reported that liraglutide itself may increase the fat storage capacity by facilitating adipogenesis or increasing insulin sensitivity [27-29]. Therefore, liraglutide appears to ameliorate insulin resistance by increasing the fat storage capacity of adipocytes through liraglutide-induced favorable glycemic control, preventing obesity, particularly excess truncal fat, and its direct actions on adipocytes, thereby maintaining favorable glycemic control.

The attenuation of an insulin secretory defect appears be another important factor. The disposition index is considered to be a useful measure of β-cell function, reflecting insulin secretion capacity adjusted for insulin sensitivity [10]. The results of OGTT in Jun. 2012 and Aug. 2018 showed a lower HOMA-β, disposition index, and insulinogenic index than those in normal subjects. Thus, an insulin secretory defect was detected in our patient. Since liraglutide has been shown to promote early insulin secretion in patients with type 2 diabetes and those with FPLD2 [30,31], we speculated that this effect may also contribute to the maintenance of favorable glycemic control in our patient. Although the disposition index increased from 0.6 to 0.9, no marked change was observed in the insulinogenic index between the two OGTT. Thus, this increase in the disposition index may suggest that an insulin secretory capacity adjusted for insulin sensitivity was improved, which mainly caused by the amelioration of insulin resistance.

The other effects of liraglutide are also an important factor. Liraglutide maintains favorable glycemic control by inhibiting the secretion of glucagon, reducing hepatic glucose production, or slowing the absorption of ingested glucose due to delayed gastric emptying.

We showed that the long-term administration of liraglutide with anti-hypertensive drugs and statin was effective against diabetic retinopathy and nephropathy. The results of MRA suggested the absence of severe atherosclerotic lesions in these arteries. Therefore, these drugs may have prevented the development of severe atherosclerotic lesions in the lower limbs. Severe non-proliferative diabetic retinopathy was detected in the first fundoscopic examination conducted by the ophthalmologist. DME deteriorated after the diabetic treatment. A reduced blood supply in the left eye and DME in both eyes after the diabetic treatment were considered to reflect the initial deterioration of diabetic retinopathy after favorable glycemic control had been achieved [32]. Laser photocoagulation was performed in the area around the right macula; however, corrected vision in the right eye decreased to 6/20. The patient underwent vitrectomy for vitreous hemorrhage of the left fundus with a good outcome and no decrease in vision. We did not administer an anti-vascular endothelial growth factor (VEGF) antibody to treat DME in this patient because it had not yet been approved in Japan in Jan. 2013. Despite timely photocoagulation and medical treatments that led to a stable fundus, vision in the right eye decreased. Therefore, better therapeutic strategies need to be developed for diabetic patients with non-proliferative severe diabetic retinopathy [33].

The maintenance of favorable glycemic control was previously shown to be protective against diabetic retinopathy, diabetic nephropathy, and diabetic macroangiopathy [34-37]. Statin and angiotensin II receptor blockade (ARB) also exerted protective effects against diabetic retinopathy, diabetic nephropathy, and diabetic macroangiopathy [34-36,38]. Liraglutide induces reno-protection through its antioxidant effects in the endothelial cells of the glomerulus [39]. Although it is unclear whether these findings may be generalized to our patient who received 0.6 mg liraglutide, 1.8 mg of liraglutide has been reported to exert reno-protective effects and may effectively prevent the development of atherosclerosis in patients with type 2 diabetes [40,41]. Since liraglutide has been shown to increase cAMP levels through GLP-1 receptors in macrophages, thereby inhibiting the expression of proinflammatory cytokines, we speculated that the anti-inflammatory effects of liraglutide on macrophages may have slowed the atherosclerotic process in the lower limbs of our patient [42,43].

Xing et al. reported that patients with type 2 diabetes treated with liraglutide had less glycemic variability than those not treated with liraglutide in addition to milder hypoglycemia based on a meta-analysis of the literature [44]. We speculated that less glycemic variability contributed to improvements in fat cell function, diabetic microangiopathy, and macroangiopathy through the prevention of oxidative stress in our patient [45]. Therefore, the attenuation of diabetic retinopathy and nephropathy and the stabilization of atherosclerosis in the lower limbs of our patient may have been due to the intensified multifactorial intervention with these drugs [35,36].

In conclusion, this patient had fat loss in the lower limbs. She had insulin secretory defect and relatively severe insulin resistance. The long-term administration of liraglutide may have been effective for glycemic and body weight control. This might be caused by the blood-glucose-reducing effects of liraglutide, preventive effects on obesity. An intensified multifactorial intervention with liraglutide, anti-hypertensive drugs, and statin may have contributed to the amelioration of diabetic complications.

The present case suggests that liraglutide might be an efficient therapeutic option through its pleiotropic effects in female Japanese diabetic patients with FPLD1.

Ethical consideration

The present study (approved on 2 Sep. 2016, approval number: 2016090203), including whole-exome sequencing (approved on 12 Dec. 2016, approval number: 2016120206), was approved by the Ethics Committee of Kusatsu General Hospital. The patient agreed to participate and provided her written informed consent.

Disclosure

The authors state that they have no conflicts of interest (COI).

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Editorial Information

Editor-in-Chief

Katsunori Nonogaki
Tohoku University
Japan

Article Type

Case Report

Publication history

Received: December 12, 2020
Accepted: December 24, 2020
Published: January 05, 2021

Copyright

©2021 Masanori Iwanishi. 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.

Citation

Iwanishi M, Azuma C, Tezuka Y, Yamamoto Y, Ito-Kobayashi J, Washiyama M (2021) Beneficial effects of long-term liraglutide monotherapy on glycemic control and diabetic microangiopathies in a female Japanese diabetic patient with familial partial lipodystrophy 1. Diabetes Updates 7: DOI: 10.15761/DU.1000150

Corresponding author

Masanori Iwanishi PhD, MD

Department of Diabetes and Endocrinology, Kusatsu General Hospital 1660 Yabase, Kusatsu, Shiga 525-8585, Japan

E-mail : bhuvaneswari.bibleraaj@uhsm.nhs.uk

Figure 1. (A)The family pedigree of this patient. The proband is denoted by an arrow (B) Images taken in the first fundoscopic examination by an ophthalmologist on 31 Aug. 2011 (C) The right diabetic foot ulcer at her first visit was shown. Figure 1C was reproduced from our previous study with permission [5]

Figure 2. Clinical course and changes in glycated hemoglobin (HbA1c) levels and body weight between 2011 and 2019. Body weight was 55.5 kg in Sep. 2011. Seven years before her admission, body weight was 65 kg. After insulin had been administered for 5 months, her HbA1c level decreased to 7.1% from 11.3% on admission and body weight gain of approximately 4 kg was observed 3 months after the initiation of insulin. After switching to 0.6 mg liraglutide in Feb. 2012, she achieved a favorable HbA1c level and body weight fluctuated between 56 and 57 kg. DEXA was performed in Sep. 2011 and Oct. 2018 and MRI in Oct. 2011, while OGTT was performed in Jun. 2012 and Aug. 2018

Figure 3. MRI in body was performed in Oct. 2011 when her body weight was 55.5kg (A) Thoracic MRI taken at the level of the seventh thoracic vertebrae (left panel) and abdominal MRI at the umbilical level (right panel) showed the preservation of subcutaneous fat in thoracic and abdominal regions (B) T1-weighted MRI taken at the level of gluteal fat indicated a decrease in gluteal subcutaneous fat, as shown by arrows (C) MRI taken at the level of the thigh (left panel), calf (middle panel), and left leg (right panel) were shown. The patient had very little subcutaneous fat, particularly in the antero-lateral and posterior thigh regions, indicated by arrows, whereas subcutaneous fat in the internal thigh region remained. She had the near-complete loss of subcutaneous fat in the entire circumference of the calf, as indicated by arrows. She had the almost complete absence of dorsal and plantar subcutaneous fat, as indicated by arrows (D) MRI taken at the level of the right arm (left panel) and forearm (right panel) revealed the preservation of subcutaneous fat and the almost complete absence of subcutaneous fat in the antero-lateral and posterior forearm regions, as indicated by arrows; however, small amounts of subcutaneous fat in the internal forearm were preserved (E) Magnetic resonance angiography (MRA) of the lower limbs was performed in Jul. 2019. Figure A-D were reproduced from our previous study with permission [5]

Figure 4. (A) Optical coherence tomography (OCT) images showing chronological changes from 2011 to 2018. OCT images in Aug. 2011 and Jan. 2013 were obtained by Carl Zeiss OCT-3000, and in Mar. 2013, Jun. 2013, Apr. 2014, and Apr. 2018 by TOPCON OCT-2000. OCT in the first examination by the ophthalmologist in Aug. 2011 showed no diabetic macular edema (DME). The OCT image in Jan. 2013 showed the deterioration of DME in the right eye. Approximately 1.5 years after the initiation of diabetic medication, the OCT image in Mar. 2013 showed the deterioration of DME in the left eye. However, since blood glucose levels had been improving, the OCT image showed the attenuation of DME in both eyes since 2014 (B) When fundoscopic photography was performed in the most recent examination by the ophthalmologist in Feb. 2020, her fundus was stable and corrected vision in right and left eyes were 6/20 and 6/6, respectively, suggesting the preservation of vision

Figure 5. Changes in albuminuria (mg/g/Cre) and eGFR (mL/min/1.73 m2) between 2011 and 2018. Urinary albumin levels in individual years were the mean values of two random urine samples. Liraglutide 0.6 mg was administered in Feb. 2012. Telmisartan 40 mg and azelnidipine 16 mg were administered for hypertension in Sep. 2011 and pravastatin 10 mg for the prevention of atherosclerosis in Mar. 2012. Her urinary albumin level on admission was 271.2 mg/g/Cre, suggesting that she had diabetic nephropathy with microalbuminuria. eGFR on admission was 124.0 mL/min/1.73 m2, suggesting hyperfiltration in the glomerulus. Since her blood glucose level was improving, her urinary albumin level gradually decreased to the normal range and a reduction in eGFR to 89.8 mL/min/1.73 m2 was also observed

Table 1. Laboratory data for our patient

Time

Aug.2011

Jun.2012

 

Metabolic variables

 

 

Normal Values

HbA1c (%)

11.3

6.5

4.6 - 6.2

Plasma glucose (mg/dL)

314

127

70 - 109

Plasma insulin (μU/mL)

ND

12.8

2.7 - 10.4

Serum cholesterol (mg/dL)

182

177

130 - 219

Serum triglyceride (mg/dL)

ND

79

30 - 149

Serum HDL cholesterol (mg/dL)

ND

46

40 - 90

Serum leptin (ng/mL)

ND

4.9

 

Serum adiponectin (μg/mL)

ND

4.1

 

WBC (102/μL)

139

74

35 - 91

Hb (g/dL)

12.7

12.1

11.3 – 15.2

PLTs (104/μL)

31.8

20.4

13.0 – 36.9

CRP (mg/dL)

12.5

ND

0.3 ≧

AST (U/L)

8

19

8 - 38

ALT (U/L)

8

30

4 - 43

LDH (U/L)

136

165

121 - 245

Blood sample on Aug. 2011 was obtained after breakfast, while blood sample on Jun.

2012 was obtained after a 12-hour overnight fast

Table 2. Body composition of this patient in DEXA

Time

2011
September

2018
October

Control 1 (n=56)

Control 2 (n=41)

Gender

Female

Female

Female

Female

Age (y)

50

57

45.1±2.8

55.2±3.1

Height (cm)

163.0

163.0

156.1±4.9

156.8±4.7

Body weight (kg)

55.5

57.0

55.1±6.7

55.1±6.3

BMI (kg/m2)

20.9

21.5

22.7±3.0

23.5±2.9

Fat (%)  Total % Fat

25.2

31.8

30.3±6.2

31.4±6.5

Upper Limbs % Fat

29.1

39.1

27.6±7.1

29.6±7.8

Trunk % Fat

26.1

33.8

28.4±7.7

31.2±7.6

Lower Limbs % Fat

22.0

28.1

33.2±5.7

32.5±6.2

Fat Mass (kg) Total Fat Mass

13.7

17.8

16.8±5.2

17.3±5.3

Upper Limbs Fat Mass

1.6

2.4

1.4±0.3

1.6±0.3

Trunk  Fat Mass

7.9

10.6

7.1±2.8

8.0±2.9

Lower Limbs Fat Mass

3.5

3.9

7.0±1.0

6.5±0.9

Lean Mass (kg) Total Lean Mass

38.9

36.7

35.3±3.1

34.6±3.0

Upper Limbs Lean Mass

3.5

3.6

3.4±0.2

3.4±0.3

Trunk  Lean Mass

21.8

20.4

16.3±1.3

16.3±1.7

Lower Limbs Lean Mass

10.4

9.7

13.1±0.9

12.3±0.7

Fat mass Ratio(FMR)

1.2

1.2

1.0±0.3

 

Normal values in Control 1 were obtained from 56 healthy women between the ages of 40 and 49 years.

Normal values in Control 2 were obtained from 41 healthy women between the ages of 50 and 59 years.

Values in Control 1 and Control 2 were expressed as mean ±SD

Table 3. Oral glucose tolerance test and profile of insulin secretion and insulin resistance in this patient

Time

BW
(kg)

BMI
(kg/m2)
at OGTT

HbA1c (%)

 

Time(min)

HOMA-IR

HOMA-β

Matsuda
Index

Disposition Index

Insulinogenic

Index

0

30

60

120

JUN
2012

60.5

22.8

6.6

Plasma glucose(mg/dL)

127.0

179.0

249.0

262.0

4.0

72.0

2.0

0.6

0.28

Plasma insulin(μU/mL)

12.8

27.3

54.2

157.6

August
2017

55.8

21.1

6.0

Plasma glucose(mg/dL)

110.0

178.0

206.0

217.0

2.2

62.0

3.4

0.9

0.25

Plasma insulin(μU/mL)

8.1

25.3

34.4

123.3

The values in
normoglycemic subjects

n

Age
(years)

BMI
(kg/m2)
at OGTT

 

1.92
(1.25)

78.3
(46.1)

5.62
(2.87)

1.61
(0.54)

0.62
(0.48)

17

53.3
(3.3)

23.6
(2.7)

BW: Body Weight OGTT: Oral Glucose Tolerance Test

HOMA-IR: Homeostasis model assessment of insulin resistance

HOMA-β: Homeostasis model assessment of β-cell function

The Mean±SD in normoglycemic subjects are in the bottom. The figures in parentheses are SD.

These values were drawn from Reference [10]