Literature DB >> 35222903

Nicotinamide supplementation in diabetic nonalcoholic fatty liver disease patients: randomized controlled trial.

Rasha R El-Kady1, Amani K Ali2, Lamia M El Wakeel1, Nagwa A Sabri1, May A Shawki3.   

Abstract

BACKGROUND: Nicotinamide has been reported to protect against liver steatosis and metabolic imbalances in nonalcoholic fatty liver disease (NAFLD) in animal models.
OBJECTIVES: The objective was to investigate the efficacy and safety of nicotinamide supplementation in diabetic NAFLD patients.
DESIGN: This is a prospective randomized controlled open label study.
METHODS: Seventy diabetic NAFLD patients were randomly assigned either to the nicotinamide group (n = 35) who received nicotinamide 1000 mg once daily for 12 weeks in addition to their antidiabetic therapy or the control group (n = 35) who received their antidiabetic therapy only. The primary outcome was improvement in steatosis score, while secondary outcomes included assessment of liver stiffness, liver enzymes, lipid profile, insulin resistance, serum malondialdehyde, serum adiponectin, and patients' quality of life (QOL).
RESULTS: Only 61 patients completed the study; 31 in the nicotinamide group and 30 in the control group. Comparisons between groups and within groups revealed nonsignificant changes in steatosis and fibrosis scores. However, significant reduction was observed in liver enzymes with a median decrease in alanine transaminase of 26.6% versus 0.74% in nicotinamide and control groups, respectively. After 12 weeks of treatment, the nicotinamide group showed significantly lower levels of low-density lipoprotein cholesterol (p value = 0.004), total cholesterol (p value = 0.006), and insulin resistance marker (p value = 0.005) compared with control. Serum triglycerides, malondialdehyde, and adiponectin levels were all comparable between the two groups. Regarding QOL, a significant improvement was detected in the total scores and the activity and fatigue domains scores.
CONCLUSION: Nicotinamide at a dose of 1000 mg daily was tolerable, improved metabolic abnormalities and QOL of diabetic NAFLD patients with no effect on liver fibrosis or steatosis. TRIAL REGISTRATION: The study was registered at clinicaltrials.gov and given the ID number: 'NCT03850886'. https://clinicaltrials.gov/ct2/show/NCT03850886.
© The Author(s), 2022.

Entities:  

Keywords:  Fibroscan; nicotinamide; nonalcoholic fatty liver disease; steatosis

Year:  2022        PMID: 35222903      PMCID: PMC8874180          DOI: 10.1177/20406223221077958

Source DB:  PubMed          Journal:  Ther Adv Chronic Dis        ISSN: 2040-6223            Impact factor:   5.091


Introduction

Nonalcoholic fatty liver disease (NAFLD) comprises a spectrum of chronic liver diseases including simple steatosis, steatohepatitis, advanced fibrosis and cirrhosis, in the absence of excessive alcohol consumption or other causes of steatosis. The global prevalence of NAFLD ranges from 24% in general population to 50–90% in obese individuals, 70% in diabetic patients and nearly 100% in individuals with both conditions.[2 –4] It has become one of the most frequent causes of chronic liver disease and predictably one of the leading causes of liver transplantation. The pathogenesis of NAFLD is multifactorial arising from interactions of genetics and metabolic factors, diet, oxidative stress, inflammation, and hypoadiponectinemia. It is closely associated with type 2 diabetes mellitus (T2D) and insulin resistance (IR). Coexistence of NAFLD and T2D results in poor glycemic control. Besides, in a biopsy-proven large study, a strong association was found between IR and the severity of liver inflammation in NAFLD patients even without diabetes. Until today, there is no approved therapy for NAFLD. Despite the investigation of several treatments, including insulin sensitizers, vitamin E, lipid-lowering drugs, pentoxifylline, and angiotensin receptor blockers, none has proven efficacy yet. Management of NAFLD is based on dietary and lifestyle modifications that bear the limitations of poor compliance and tedious implementation. Hence, novel strategies are required to help optimize the clinical outcomes of patients with NAFLD and ameliorate the consequences of the disease. Nicotinamide is a natural product normally found in the body and acts as a coenzyme involved in a wide variety of energy transfer processes within the cell. It was previously used as an additive food supplement in several diseases like diabetes, skin disorders, depression, HIV, renal dysfunction, and aging. Nicotinamide is the amide form of nicotinic acid (vitamin B3, Niacin) and an endogenous precursor for intracellular nicotinamide adenine dinucleotide (NAD+) biogenesis. Unlike niacin, nicotinamide lacks the side effects of flushing, deterioration of IR, and increased risk of diabetes development. These side effects have been proposed to be exclusive to niacin because of its ability to induce the niacin receptor GPR109A. Nicotinamide might offer potential benefits in NAFLD patients for several reasons. Human liver is found to be depleted of NAD+ pool with increasing age. This is attributed to accumulation of DNA breaks that activates poly ADP-ribose polymerases (PARPs) which consume intracellular NAD+. It has been reported that NAD+ deficiency reduced β-oxidation and consequently caused the accumulation of triglycerides (TG) in the hepatocytes, enhanced oxidative stress, impaired insulin sensitivity, triggered inflammation in the liver, and hence contributed to the pathogenesis of NAFLD. In mammals, salvage synthesis of NAD+ from nicotinamide rather than nicotinic acid is the predominant NAD+ synthesis pathway and nicotinamide is more powerful than nicotinic acid in sirtuins activation.[14,15] Nicotinamide supplementation was found to elevate hepatic NAD+ which activates sirtuins expression and signaling pathways causing inhibition of lipogenesis and activation of fatty acid oxidation. Moreover, nicotinamide riboside (NR) was found to improve glucose control, decrease hepatic steatosis, hypercholesterolemia, and liver damage in insulin-resistant mice raised on high-fat diet. The American Association for the Study of Liver Disease (AASLD) has recommended initiating clinical trials to evaluate the expected therapeutic benefits of nicotinamide in NAFLD based on the results of NAD+ boosting on prevention and treatment of NAFLD in animal models. To date, studies of nicotinamide use in NAFLD are limited to animal studies.[18-21] Hence, this study aimed to evaluate the efficacy and safety of nicotinamide supplementation in diabetic NAFLD patients.

Materials and methods

Study design and setting

A prospective, randomized, controlled open label study was carried out at the endocrinology department of Al-Zahraa University Hospital, Cairo, Egypt, on 70 diabetic NAFLD patients.

Patients

All patients presented to the endocrinology department were screened for eligibility according to the set inclusion and exclusion criteria. Patients were included if they were from 18 to 65 years old, diagnosed with NAFLD and T2D, and treated with sulfonylurea, metformin, or both with a stable regimen for at least 4 weeks before the start of the study. The diagnosis of NAFLD was determined by the appearance of fatty liver on ultrasound with or without the presence of elevated liver enzymes in the absence of any other causes of liver diseases and confirmed by the presence of steatosis with the controlled attenuation parameter (CAP) score (>248 dB/m1).[22,23] Exclusion criteria included liver cirrhosis (fibroscan result >12 Kpa), history of decompensated liver disease including encephalopathy, ascites or variceal bleeding, viral hepatitis, any other causes of liver disease (hemochromatosis, Wilson’s disease), biliary disease, congestive heart failure, hyper/hypoparathyroidism, cancer, pregnancy, lactation, or patients receiving statins, hepatotoxic medicines [nonsteroidal anti-inflammatory drugs (NSAIDs), amiodarone, and methotrexate], or medications evidenced to affect NAFLD (pioglitazone, GLP-1 analogs, dipeptidyl peptidase IV inhibitors) within 6 months before the start of the study or during the study period. Patients were also excluded if any change in their medication regimen occurred during the study period. Eligible patients were stratified by sex and randomly assigned by permuted block randomization using randomly fixed size blocks to either the nicotinamide group (35 patients) who received one tablet (1000-mg nicotinamide) daily 2 h after lunch for 12 weeks in addition to standard antidiabetic therapy (sulfonylurea or metformin or both) or the control group (35 patients) who received standard antidiabetic therapy only. Randomization and enrollment were done by the principal investigator. Nicotinamide was supplied as 1000-mg nicotinamide tablets under the trade name of Niacinamide manufactured by Nature’s Life Sun Food Energy, USA.

Methods

The study was conducted from January to August 2019. At baseline, all patients were subjected to a full history taking, physical examination, demographic, and clinical data assessment. Transient elastography (FibroScan) was performed at baseline and after 12 weeks to assess liver steatosis and fibrosis by measuring the CAP and liver stiffness measurement (LSM), respectively. Steatosis is expressed in dB/m1 and fibrosis is expressed in KPa. In addition, liver enzymes including alanine aminotransferase (ALT) and aspartate aminotransferase (AST) and lipid profile including low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and TG were all assessed at baseline and after 12 weeks using routine laboratory methods. To assess IR, fasting blood sugar and fasting insulin were measured at baseline and after 12 weeks and IR was estimated using the homeostasis model assessment of insulin resistance (HOMA-IR) according to the following equation: HOMA-IR = [fasting insulin (mU/ml ) × fasting glucose (mg/dl ) /405]. Fasting blood sugar was assessed using routine laboratory methods, while fasting insulin was assessed using commercial enzyme-linked immunosorbent assay (ELISA) kit. A blood sample was withdrawn from each patient at baseline and at the end of the study and serum was stored at −80°C until analysis. Malondialdehyde (MDA), a marker for lipid peroxidation, was assessed using commercial spectrophotometric kits while adiponectin, a marker of metabolic dysregulation, was assessed by ELISA technique using commercial kit. Quality of life (QOL) was evaluated at baseline and at the end of the study using the validated Arabic, mother tongue, version of Chronic Liver Disease Questionnaire (CLDQ) supplied by contacting the questionnaire licensor. The questionnaire is composed of 29 items comprising six domains: Abdominal Symptoms, Fatigue, Emotional Function, Worry, Activity, and Systemic Symptoms. Each item is scored on a seven-point Likert-type scale representing the frequency of clinical symptoms and emotional problems associated with liver diseases ranging from 1 ‘all of the time’ to 7 ‘none of the time’. Domain score was calculated using the mean score of the items included, and the overall score was calculated using the mean score of all domains. The higher the score, the better was the patient’s QOL (Supplemental material). Patients were educated about the expected side effects of nicotinamide and were required to report their occurrence. Patients were followed up by weekly phone calls and monthly visits to assess the occurrence of adverse effect and to determine adherence to nicotinamide. Adherence was assessed by asking the patients during phone calls and by counting the remaining pills during refill. Patients were considered noncompliant if the compliance rate was less than 90% and were withdrawn from the study. The primary outcome of the study was the evaluation of liver steatosis scores, and the secondary outcomes were assessment of liver stiffness scores, liver enzymes, IR, lipid profile, serum MDA, and adiponectin together with the QOL.

Statistical analysis

Statistical analysis was done using IBM SPSS® Statistics version 22 (IBM® Corp., Armonk, NY, USA). The analysis was performed as per protocol. Qualitative data were expressed as frequency and percentage. Pearson’s Chi-square test was used to examine the relation between qualitative variables. Numerical data were expressed as mean and standard deviation (SD) or median and range as appropriate. Percent change was calculated as follows: [(after 12 week − baseline)/baseline*100]. Quantitative data were tested for normality using the Kolmogorov–Smirnov test and Shapiro–Wilk test. Comparison between two groups was done using Student’s t test for normally distributed quantitative data. For non-normally distributed quantitative data, comparison between two groups was done using the Mann–Whitney test. Wilcoxon signed-rank test and paired t test were used to compare two consecutive measures of nonparametric and parametric numerical variables, respectively. All p values were two sided, and a value of p < 0.05 was considered significant.

Sample size calculation

Sample size calculation was done by the Approximate Sample Size Calculator (http://www.jerrydallal.com/LHSP/SIZECALC.HTM) available online. The sample size was calculated according to the primary outcome, fibroscan CAP score, to detect a mean difference of 25 units and a SD of 30 which was assumed based on a previous study. Using alpha error of 5% and 80% power, a sample size of 25 for each group was estimated. Due to the expected dropout, 35 patients were considered in each group.

Results

Baseline evaluation

Out of a total of 186 patients assessed for eligibility, only 70 fulfilled the inclusion criteria and were included in the study. Nine patients did not complete the study due to noncompliance to nicotinamide therapy (n = 2), change in antidiabetic regimen (n = 6), and the development of complicated leg ulcer (n = 1). The study flow chart is presented in Figure 1. The age of participants ranged from 28 to 62 years old and 57.4% of them were female. Patients’ weight ranged from 65 to 130 kg and their height ranged from 145 to 186 cm with 67.2% of them were obese [body mass index (BMI) >30 kg/m2]. The diabetes mellitus duration ranged from 4 months to 10 years. There was no significant difference between the two groups regarding age, sex, weight, height, BMI, duration of diabetes, and medication received. Baseline evaluation is summarized in Table 1.
Figure 1.

The study flowchart.

Table 1.

Baseline demographics and clinical characteristics of the study groups.

ParameterNicotinamide group (n = 31)Control group (n = 30)p value
Age (years): mean ± SD45.6 ± 7.347.6 ± 9.80.372 a
Sex: female, n (%)18 (58.1%)17 (56.7%)0.912 b
Body mass index (kg/m): mean ± SD32.7 ± 5.533.4 ± 4.80.585 a
Duration of diabetes (years): median (range)2 (0.3–8)2 (0.3–10)0.482c
Comorbidities: yes, n (%)
 Dyslipidemia17 (54.84%)13 (43.33%)0.369 b
 Hypertension9 (29.03%)11 (36.67%)0.525 b
 Peptic ulcer6 (19.35%)9 (30%)0.334 b
 Other cardiovascular conditions3 (9.68%)4 (13.33%)0.654 b
 Depression2 (6.45%)0 (0)0.157 b
Medications: yes, n (%)
 Glimepiride21 (67.74%)23 (76.67%)0.437 b
 Metformin19 (61.29%)25 (83.33%)0.055 b
 Glibenclamide8 (25.81%)4 (13.33%)0.221 b
 Gliclazide1 (3.23%)1 (3.33%)0.981 b
 Bisoprolol4 (12.90%)3 (10.00%)0.722 b
 Captopril2 (6.45%)5 (16.67%)0.211 b
 Irbesartan2 (6.45%)0 (0.00%) d
 Lisinopril1 (3.23%)1 (3.33%)0.981 b
 Ramipril0 (0.00%)2 (6.67%) d
 Pregabalin5 (16.13%)2 (6.67%)0.246 b
 Carbamazepine2 (6.45%)3 (10.00%)0.614 b
 Gabapentin1 (3.23%)2 (6.67%)0.534 b
 Ranitidine4 (12.90%)6 (20.00%)0.454 b
 Omeprazole2 (6.45%)3 (10.00%)0.614 b
 Aspirin8 (25.81%)9 (30.00%)0.715 b
 Cilostazol1 (3.23%)0 (0.00%) d
 Venlafaxine1 (3.23%)0 (0.00%) d
 Imipramine1 (3.23%)0 (0.00%) d

Student’s t test.

Chi-square test.

Mann–Whitney test.

p value cannot be calculated due to small sample size in each cell.

The study flowchart. Baseline demographics and clinical characteristics of the study groups. Student’s t test. Chi-square test. Mann–Whitney test. p value cannot be calculated due to small sample size in each cell.

Evaluation of efficacy of nicotinamide

There was no significant difference at baseline or after 12 weeks between the study groups and within groups regarding weight, BMI, fibrosis, and steatosis scores as presented in Table 2. Despite the nonsignificant difference in ALT and AST between groups at baseline and after 12 weeks, the within-group comparisons revealed significant changes (p < 0.001) in the nicotinamide group only with the median percent change, in ALT and AST, respectively, −26.6% and −13.3% in the nicotinamide group versus −0.74% and 2.48% in the control group, respectively.
Table 2.

Comparisons between the diagnostic and laboratory parameters at baseline and at the end of the study between study groups.

VariableTime of assessmentNicotinamide group (n = 31)Control group (n = 30)p value
Weight (kg), mean ± SDBaseline90.32 ± 13.1395.00 ± 15.170.202 a
After 12 weeks90.65 ± 12.8195.43 ± 14.420.175 a
p value0.194 b 0.125 b
BMI (kg/m2), mean ± SDBaseline32.69 ± 5.4933.41 ± 4.780.585
After 12 weeks32.80 ± 5.4133.57 ± 4.510.551 a
p value0.201 b 0.117 b
Steatosis (dB/m), median (range)Baseline285 (246 to 377)283 (251 to 375)0.394 c
After 12 weeks280 (244 to 365)288 (250 to 375)0.269 c
p value0.307 d 0.665 d
% change[−]0.38([−]3.18 to 2.36)0.35([−]6.25 to 5.26)0.644 c
Fibrosis (KPa), median (range)Baseline4.8 (2.5 to 8.6)5 (2.4 to 9.6)0.670 c
After 12 weeks5 (2.8 to 8.5)5.1 (2.5 to 9.8)0.718 c
p value0.452 d 0.084 d
% change0 ([−]6.67 to 16)2 ([−]6.67 to 8)0.107 c
ALT (U/L)Baseline33 (12 to 118)32 (6 to 109)0.925 c
After 12 weeks26 (12 to 102)32 (12 to 124)0.082 c
p value<0.001 d *0.740 d
% change[−]26.6 ([−]63.7 to 8.33)[−]0.74 ([−]16.67 to 100)<0.001 c *
AST (U/L)Baseline33 (13 to 82)27 (12 to 78)0.994 c
After 12 weeks22 (13 to 60)28 (12 to 77)0.163 c
p value<0.001 d *0.195 d
% change[−]13.33 ([−]65.85 to 10)2.84 ([−]15 to 31.58)<0.001 c *
LDL-C (mg/dl), median (range)Baseline140 (78 to 221)137 (93 to 276)0.502 c
After 12 weeks114 (70 to 180)141 (88 to 263)0.004 c *
p value<0.001 d *0.318 d
% change[−]15.2 ([−]50 to 17.95)2.5 ([−]46.2 to 34)<0.001 c *
TC (mg/dl), median (range)Baseline224 (175 to 312)222 (170 to 352)0.598 c
After 12 weeks195 (160 to 269)230.5 (174 to 339)0.006 c *
p value<0.001 d *0.271 d
% change[−]9.32([−]30.43 to 6.29)1 ([−]11.21 to 20.67)<0.001 c *
TG (mg/dl), median (range)Baseline180 (90 to 284)167 (46 to 340)0.254 c
After 12 weeks176 (87 to 270)170 (63 to 326)0.312 c
p value0.251 d 0 .349 d
% change[−]1.93([−]10.53 to 10.90)3.43 ([−]17.13 to 36.96)0.075 c
HOMA-IR, median (range)Baseline3.55 (2.04 to 10.31)3.59 (1.98 to 12.22)0.880 c
After 12 weeks3.04 (1.54 to 12.37)3.92 (1.68 to 11.08)0.137 c
p value0.023 d *0.171 d
% change[−]4.27 ([−]58.50 to 19.97)4.56 ([−]38.80 to 130.74)0.005 c *

ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; HOMA-IR, homeostasis model assessment of insulin resistance; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triglycerides.

Independent t test.

Paired t test.

Mann–Whitney test.

Wilcoxon signed-rank test.

Indicates significance.

Comparisons between the diagnostic and laboratory parameters at baseline and at the end of the study between study groups. ALT, alanine aminotransferase; AST, aspartate aminotransferase; BMI, body mass index; HOMA-IR, homeostasis model assessment of insulin resistance; LDL-C, low-density lipoprotein cholesterol; TC, total cholesterol; TG, triglycerides. Independent t test. Paired t test. Mann–Whitney test. Wilcoxon signed-rank test. Indicates significance. The change of ALT and AST over time is represented in Figure 2. Twenty-eight (46%) patients in this study had elevated liver enzymes at baseline. Fifteen patients were in the nicotinamide group and nine of them (60%) were normalized at the end of the study. The control group included 13 patients with elevated baseline liver enzymes that remained elevated until the end of the study.
Figure 2.

Line chart representing the change over time in ALT and AST for the study groups. (a) The change in serum ALT. (b) The change in serum AST.

ALT, alanine aminotransferase; AST, aspartate aminotransferase.

Line chart representing the change over time in ALT and AST for the study groups. (a) The change in serum ALT. (b) The change in serum AST. ALT, alanine aminotransferase; AST, aspartate aminotransferase. Regarding the lipid profile, both groups were comparable at baseline. However, there were significant differences between groups after 12 weeks and within the nicotinamide group with respect to LDL-C (p value = 0.004 and <0.001, respectively) and TC (p value = 0.006 and <0.001, respectively). The same was observed for HOMA-IR where significant differences were found between groups after 12 weeks and within the nicotinamide group. These data are presented in Table 2.

Evaluation of serum biomarkers

Evaluation of oxidative stress revealed nonsignificant differences at baseline and after 12 weeks regarding serum MDA with a median percent change of −7.42 in the nicotinamide group versus none in the control group. Adiponectin levels were also comparable between groups and within groups at the different time points, Table 3.
Table 3.

Comparisons between serum biomarkers at baseline and at the end of the study between study groups.

VariableTime of assessmentNicotinamide group (n = 31)Control group (n = 30)p value
MDA (nmol/ml), median (range)Baseline3.92 (0.71 to 12.86)2.86 (0.71 to 11.43)0.190 a
After 12 weeks3.66 (0.7 to 13.57)2.50 (0.49 to 11.40)0.466 a
p value0.105 b 0.971 b
% change[−]7.42([−]50.12 to 137.65)0 ([−]82.94 to 200)0.274 a
Adiponectin (mg/L), median (range)Baseline2.31 (0.9 to 5.5)2.2 (0.9 to 4.7)0.756 a
After 12 weeks2.4 (0.95 to 5)1.93 (0.9 to 4.3)0.334 a
p value0.951 b 0.065 b
% change0.48 ([−]16 to 55.56)[−]3.85 ([−]52.35 to 57.14)0.219 a

MDA, malondialdehyde.

Mann–Whitney test.

Wilcoxon signed-rank test.

Comparisons between serum biomarkers at baseline and at the end of the study between study groups. MDA, malondialdehyde. Mann–Whitney test. Wilcoxon signed-rank test.

Evaluation of QOL

The overall score and the domain scores were not significantly different between groups at baseline. However, significant improvement was observed within the nicotinamide group and the percent change between groups with respect to overall scores and fatigue and activity domains. After 12 weeks, a significant difference was observed between groups in systemic symptoms and worry domains, yet the percent change comparisons were nonsignificant, Table 4.
Table 4.

Comparison between Chronic Liver Disease Questionnaire (CLDQ) at baseline and at the end of the study in all study groups.

DomainTime of assessmentNicotinamide group (n = 31)Control group (n = 30)p value
AS domain, median (range)Baseline5.7 (4.3 to 6.7)5.7 (4 to 6.7)0.780 a
After 12 weeks5.7 (4.3 to 6.7)5.7 (4 to 6.7)0.792 a
p value0.479 b 0.366 b
% change0 ([−]12.28 to 20)0 ([−]11.67 to 25)0.856 a
FA domain, median (range)Baseline5.4 (4 to 6.2)5.5 (3.6 to 6.4)0.942 a
After 12 weeks5.8 (4.2 to 6.4)5.4 (4 to 6.6)0.026 a *
p value<0.001 b *0.429 b
% change10.34 ([−]4.55 to 20)1.56 ([−]13.04 to 11.11)0.001 a *
SS domain, median (range)Baseline6 (5 to 6.8)5.8 (4 to 6.6)0.066 a
After 12 weeks6.2 (4.8 to 7)5.8 (4 to 6.6)0.037 a *
p value0.296 b 0.470 b
% change0 ([−]5.88 to 16.67)0 ([−]6.06 to 16)0.519 a
AC domain, median (range)Baseline5 (3.7 to 6.3)5.5 (4.7 to 6.3)0.055 a
After 12 weeks5.7 (4.7 to 6.3)5.5 (4.3 to 6.3)0.132 a
p value<0.001 b *0.724 b
% change12.77 ([−]5 to 27.03)5 ([−]16.67 to 14)< 0.001 a *
EF domain, median (range)Baseline5.5 (4.8 to 6)5.4 (4.8 to 6)0.913 a
After 12 weeks5.5 (4.9 to 6)5.4 (4.6 to 6.1)0. 822 a
p value0.708 b 0.259 b
% change0([−]8.69 to 10.53)0([−]4.76 to 7.21)0.936 a
WO domain, median (range)Baseline5 (4.2 to 6.2)5.5 (4.2 to 6.4)0.068 a
After 12 weeks5.2 (4 to 6.2)5.5 (4 to 6.2)0.028 a *
p value0.962 b 0.857 b
% change0([−]100 to 9.09)0([−]7.69 to 8.69)0.971 a
Total, median (range)Baseline5.4 (4.9 to 6)5.4 (4.4 to 6.1)0.670 a
After 12 weeks5.5 (5.1 to 6.1)5.5 (4.4 to 6.1)0.549 a
p value0.001 b *0.178 b
% change3.74([−]14.33 to 7.96)0.71([−]3.67 to 8.29)0.039 a *

AC, Activity; AS, Abdominal Symptoms; EF, Emotional Function; FA, Fatigue; SS, Systemic Symptoms; WO, Worry.

Mann–Whitney test.

Wilcoxon signed-rank test.

Indicates significance.

Comparison between Chronic Liver Disease Questionnaire (CLDQ) at baseline and at the end of the study in all study groups. AC, Activity; AS, Abdominal Symptoms; EF, Emotional Function; FA, Fatigue; SS, Systemic Symptoms; WO, Worry. Mann–Whitney test. Wilcoxon signed-rank test. Indicates significance.

Evaluation of tolerability

No adverse effects were reported in the control group throughout the study period. However, two patients reported nausea and vomiting, and one patient reported fatigue in the first week of the study in the nicotinamide group. All side effects were self-controlled, and none mandated study discontinuation or required interventions. None of the patients in the nicotinamide group had an increase in liver enzymes.

Discussion

Until today, this study is the first randomized controlled clinical trial assessing the effect of oral nicotinamide supplementation on diabetic NAFLD patients. This 12-week trial showed that 1000-mg nicotinamide oral supplementation had no effect on liver steatosis and fibrosis nor serum MDA and adiponectin but significantly improved liver enzymes, TC, LDL-C, IR, and patients’ QOL in diabetic NAFLD patients. Nicotinamide has been previously used in diabetic patients with a wide range of doses from 200 mg out to 3 g. The postulated mechanism of action of nicotinamide in NAFLD patients is mainly based on its anti-inflammatory effects. Previous literature stated that nicotinamide in a dose range of 400–4000 mg could exert an anti-inflammatory effect.[10,29] Because it was the first randomized study in NAFLD patients, and because of previous old concerns that nicotinamide might cause liver toxicity,[30,31] a low dose was recommended. The 1000 mg was chosen in this study as it was the lowest available dose in the market. Despite previous study showing that improvement in fibroscan scores can occur after 4 weeks of intervention, a 12-week duration was selected to allow time for detection of any changes in other parameters as lipid profile and liver enzymes. Although liver biopsy is still the gold standard for diagnosis of NAFLD, it has several limitations including invasiveness, high chance of sampling error, interobserver, and intraobserver variability which makes it difficult and impractical to use for diagnosis and evaluation of treatment response. According to the European Association for the Study of the Liver (EASL), the best noninvasive tests for the diagnosis of steatosis are the imaging ones and steatosis can be diagnosed with CAP.[34,35] Fibroscan is a nonionizing and an inexpensive assessment tool with added benefits of being quantitative, machine-independent, and not subject to operator interpretation. A meta-analysis found that CAP has good sensitivity and specificity for detecting liver fat. An interventional study on NAFLD patients utilizing both paired biopsy and CAP as outcomes, CAP was found to be significantly associated with the grade of steatosis based on histology preintervention and postintervention. Moreover, a cohort study showed that CAP significantly improved in NAFLD patients only after 4 weeks of intervention. Therefore, fibroscan has been considered a suitable tool for monitoring dynamic changes in hepatic steatosis in patients with NAFLD, especially in clinical trials. NAFLD is highly common in T2D patients. A majority of those T2D patients suffer from moderate/severe steatosis and 30% have significant liver stiffness, mainly due to increased IR. Hence, assessment of liver stiffness in T2D patients should be performed routinely to identify those with significant liver fibrosis. Preclinical trials showed that nicotinamide has greatly reduced hepatic steatosis in mice on high-fat diet. However, this study showed that the use of nicotinamide 1000 mg during the period of this study did not affect steatosis or fibrosis in diabetic NAFLD patients. The dose and duration of nicotinamide that could affect the liver steatosis parameter has not been studied yet. Nicotinamide can be used at doses up to 3000 mg with no identified adverse events. Hence, higher doses or longer duration might be needed to improve steatosis and fibrosis. Not all patients with NAFLD have elevated liver enzymes. However, high ALT enzyme activity is associated with cardiovascular risk factors in NAFLD patients, and treatment of NAFLD should aim at reducing elevated liver enzymes and hence the concomitant cardiovascular risk. Moreover, patients with NAFLD and increased aminotransferase levels are at higher risk of having steatohepatitis. In a preclinical study, NR was found to significantly decrease the ALT level in diabetic rats. Supporting the previous evidence, this study has shown that nicotinamide significantly improved liver enzymes in the nicotinamide group. Dyslipidemia is an established and important risk factor for cardiovascular diseases, a leading cause of morbidity and mortality worldwide. In addition, correcting dyslipidemia might slow the progression to advanced liver disease. In this study, nicotinamide decreased TC and LDL-C heightening the potential beneficial role of nicotinamide in diabetic NAFLD patients. Similarly, the results of an animal study of NR supplementation in high-fat fed mice showed positive effects on lipid profile without a significant effect on hepatic fat content. However, nicotinamide, in the current work, had no effect on TG which might explain the lack of effect on steatosis. It has been reported that TG are the lipid profile parameter that is most often associated with fatty infiltration of the liver and showed a correlation with steatosis using computed tomography.[47,48] Growing evidence showed that IR, oxidative stress, and hypoadiponectinemia might contribute to NAFLD in individuals with and without T2D.[49,50] An independent relationship was found between IR evaluated by HOMA-IR, and ultrasonographic NAFLD in nondiabetic individuals. Moreover, in a biopsy-based large study, a strong association was found between HOMA-IR and the severity of liver inflammation in NAFLD patients even without diabetes. In this study, a significant reduction of HOMA-IR was observed in the nicotinamide group versus the control group in line with previous results of an improved insulin sensitivity and glucose tolerance, in a rodent model of obesity and T2D, with the use of nicotinamide and NR.[43,51] Nicotinamide was found to attenuate oxidative stress, and hepatic damage in high fructose or high glucose consumption-induced liver steatosis in rats. However, no effect was observed on serum MDA in this study. This may be attributed to the relatively low baseline levels of MDA in this study with a mean value of 3.94 nmol/ml that approximately approached normal levels. In a previous study, it was reported that normal individuals had mean serum MDA levels of 5 nmol/ml compared with diabetic NAFLD patient whose mean serum MDA levels were around 14.7 nmol/ml. Adiponectin, an adipokine, was found to be plentiful in healthy volunteer plasma with levels up to 20 mg/L. Serum levels less than 4 mg/L are considered as hypoadiponectinemia. In this study, diabetic NAFLD patients had a low adiponectin level with a median of 2.3 mg/L. Adiponectin is decreased in T2DM and in NAFLD patients and suggested to be a significant predictor of both conditions.[55,56] Diabetic NAFLD patients were found to have the lowest adiponectin levels when compared with nondiabetic NAFLD patients and control individuals. Adiponectin has been regarded as a target for NASH management with thiazolidinediones. Although preclinical studies showed a significant increase in the adiponectin level upon either nicotinamide or NR supplementation,[51,59] this study showed no effect of nicotinamide on the adiponectin level. Multiple evidence has indicated that NAFLD patients have impaired QOL. Because the liver is the responsible organ for production, release, and storage of energy, metabolic and inflammatory consequences of NAFLD lead to impairment of physical and mental activities, neuromuscular dysfunction, and muscle weakness. Hence, a beneficial therapeutic intervention is that which can positively affect patients’ lives and activities of daily living apart from biochemical improvement. In this study, CLDQ was used in the assessment of patients’ QOL. In a large multicenter trial on biopsy-proven NAFLD patients, lobular inflammation correlated independently with QOL using CLDQ. In this work, nicotinamide supplementation significantly improved the overall patients’ QOL scores in addition to activity and fatigue domains of CLDQ. Fatigue was reported as the most frequent complaint in NAFLD patients and fatigue severity negatively affected NAFLD patients’ well-being. The current results showed an improvement in NAFLD-induced fatigue in the nicotinamide group. To our knowledge and as per references, this research is the first clinical study applied with no previous clinical data in the literature; thus, a low dose of nicotinamide was used to ensure safety and tolerability of the intervention which was confirmed by the results obtained in this study showing that nicotinamide supplementation at a dose of 1000 mg was safe and tolerable in diabetic NAFLD patient. Moreover, the reported adverse effects were mild and did not require any interventions.

Conclusion

Nicotinamide provided a significant improvement in metabolic abnormalities without a significant effect on steatosis or fibrosis, in the administrated dose, in diabetic NAFLD patients. Concerning safety and tolerability issues, nicotinamide at a dose of 1000 mg daily for the study period proved to be safe and tolerable without incidence of any adverse event. This study was limited by the small sample size, conducted at a single center with a single arm of low-dose nicotinamide used for a short duration. This was done to ensure safety and tolerability of nicotinamide use in diabetic NAFLD patients because this was the first clinical study conducted with no previous clinical data in this population. Acknowledging the potential benefits found in this study represented in the favorable effects on IR, lipid control, liver enzyme normalization together with an improvement in patients’ activity level, nicotinamide could be considered as a promising add-on therapy in NAFLD patients. Yet, further large multicenter studies using higher doses of nicotinamide for longer duration are required to confirm the current results and to investigate the long-term effects of nicotinamide as well. Click here for additional data file. Supplemental material, sj-docx-1-taj-10.1177_20406223221077958 for Nicotinamide supplementation in diabetic nonalcoholic fatty liver disease patients: randomized controlled trial by Rasha R. El-Kady, Amani K. Ali, Lamia M. El Wakeel, Nagwa A. Sabri and May A. Shawki in Therapeutic Advances in Chronic Disease
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1.  Reduction of fatty liver in rats by nicotinamide via the regeneration of the methionine cycle and the inhibition of aldehyde oxidase.

Authors:  Chie Yokouchi; Yukari Nishimura; Hirohiko Goto; Makoto Sato; Yuya Hidoh; Kenji Takeuchi; Yuji Ishii
Journal:  J Toxicol Sci       Date:  2021       Impact factor: 2.196

Review 2.  Alanine aminotransferase as a marker of non-alcoholic fatty liver disease in relation to type 2 diabetes mellitus and cardiovascular disease.

Authors:  Roger K Schindhelm; Michaela Diamant; Jacqueline M Dekker; Maarten E Tushuizen; Tom Teerlink; Robert J Heine
Journal:  Diabetes Metab Res Rev       Date:  2006 Nov-Dec       Impact factor: 4.876

3.  Adiponectin and leptin in the diagnosis and therapy of NAFLD.

Authors:  Chrysoula Boutari; Christos S Mantzoros
Journal:  Metabolism       Date:  2019-11-27       Impact factor: 8.694

4.  Nicotinamide and ascorbic acid nanoparticles against the hepatic insult induced in rats by high fat high fructose diet: A comparative study.

Authors:  Hend Abd-Allah; Maha Nasr; Omar A H Ahmed-Farid; Bassant M M Ibrahim; Rofanda M Bakeer; Rania F Ahmed
Journal:  Life Sci       Date:  2020-10-06       Impact factor: 5.037

5.  Nicotinamide protects hepatocytes against palmitate-induced lipotoxicity via SIRT1-dependent autophagy induction.

Authors:  Chen Shen; Xiaobing Dou; Yue Ma; Wang Ma; Songtao Li; Zhenyuan Song
Journal:  Nutr Res       Date:  2017-03-14       Impact factor: 3.315

6.  Nicotinamide ameliorates palmitate-induced ER stress in hepatocytes via cAMP/PKA/CREB pathway-dependent Sirt1 upregulation.

Authors:  Jiaxin Li; Xiaobing Dou; Songtao Li; Ximei Zhang; Yong Zeng; Zhenyuan Song
Journal:  Biochim Biophys Acta       Date:  2015-09-06

7.  Nicotinamide improves glucose metabolism and affects the hepatic NAD-sirtuin pathway in a rodent model of obesity and type 2 diabetes.

Authors:  Soo Jin Yang; Jung Mook Choi; Lisa Kim; Se Eun Park; Eun Jung Rhee; Won Young Lee; Ki Won Oh; Sung Woo Park; Cheol-Young Park
Journal:  J Nutr Biochem       Date:  2013-10-10       Impact factor: 6.048

8.  Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

Authors:  D R Matthews; J P Hosker; A S Rudenski; B A Naylor; D F Treacher; R C Turner
Journal:  Diabetologia       Date:  1985-07       Impact factor: 10.122

Review 9.  Physiological and pathophysiological roles of NAMPT and NAD metabolism.

Authors:  Antje Garten; Susanne Schuster; Melanie Penke; Theresa Gorski; Tommaso de Giorgis; Wieland Kiess
Journal:  Nat Rev Endocrinol       Date:  2015-07-28       Impact factor: 43.330

10.  Effect of nicotinamide treatment on the residual insulin secretion in type 1 (insulin-dependent) diabetic patients.

Authors:  P Vague; R Picq; M Bernal; V Lassmann-Vague; B Vialettes
Journal:  Diabetologia       Date:  1989-05       Impact factor: 10.122

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  2 in total

Review 1.  Iron-Induced Hepatocarcinogenesis-Preventive Effects of Nutrients.

Authors:  Hiroyuki Tsuchiya
Journal:  Front Oncol       Date:  2022-06-27       Impact factor: 5.738

Review 2.  Biochemical Mechanisms of Sirtuin-Directed Protein Acylation in Hepatic Pathologies of Mitochondrial Dysfunction.

Authors:  Courtney D McGinnis; Erin Q Jennings; Peter S Harris; James J Galligan; Kristofer S Fritz
Journal:  Cells       Date:  2022-06-28       Impact factor: 7.666

  2 in total

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