Literature DB >> 33244247

Evaluation of the Effect of an Aqueous Extract of Azadirachta indica (Neem) Leaves and Twigs on Glycemic Control, Endothelial Dysfunction and Systemic Inflammation in Subjects with Type 2 Diabetes Mellitus - A Randomized, Double-Blind, Placebo-Controlled Clinical Study.

Usharani Pingali1, Mohammed Abid Ali1, Srinivas Gundagani1, Chandrasekhar Nutalapati1.   

Abstract

PURPOSE: Neem tree (Azadirachta indica) offers different bioactives ranging from pesticides to therapeutic molecules, depending on which part of the plant is used and the extraction methodology and the solvent used. This study was aimed at evaluating the safety and efficacy of a standardized aqueous extract of Azadirachta indica leaves and twigs (NEEM) on glycemic control, endothelial dysfunction, and systemic inflammation in patients with type 2 diabetes mellitus (T2DM).
METHODS: In this randomized, double-blind, placebo-controlled clinical study (RCT), 80 T2DM subjects, who have already been on standard metformin therapy, received either 125 mg, 250 mg, 500 mg of NEEM or placebo twice daily for 12 weeks. Postprandial blood sugar level (PPBS), fasting blood sugar level (FBS), glycosylated hemoglobin (HbA1c), insulin resistance (IR), endothelial function, oxidative stress, systemic inflammation, IL-6 and TNF-α, platelet aggregation and lipid profile were assessed. Adverse drug reactions, if any, were noted. GraphPad Prism 8 was used to perform statistical analysis.
RESULTS: NEEM at the doses of 125, 250, and 500 mg BID significantly reduced PPBS (from 194.4±14 to 173.1±12.8mg/dL, 192.3±17.1 to 161.8±9.7mg/dL, and 205.9±7.2 to 159.3±7.1mg/dL, respectively), FBS (from 119.2±5.0 to 109.2±5.7mg/dL, 115.5±4.4 to 103.7±4.2mg/dL, and 120.7±4.2 to 97.3±3.7mg/dL, respectively), HbA1c (from 6.87 ± 0.4% to 6.64 ± 0.4%, 7.52 ± 0.4% to 6.86 ± 0.3%, and 7.78 ± 0.2% to 6.26 ± 0.4%, respectively), and IR (from 4.5 ± 1.2 to 3.4 ± 0.9, 3.8 ± 1.1 to 2.5 ± 0.6, and 4.6 ± 1.3 to 2.0 ± 0.6, respectively) compared to placebo. Also, NEEM significantly improved endothelial function, decreased oxidative stress and systemic inflammation compared to placebo. The efficacy was significant with all the doses, but no effect on platelet aggregation or lipid profile was observed.
CONCLUSION: NEEM may significantly ameliorate hyperglycemia, endothelial dysfunction, and systemic inflammation, on top of what metformin could do, in subjects with T2DM.
© 2020 Pingali et al.

Entities:  

Keywords:  Azadirachta indica; endothelial dysfunction; hyperglycemia; insulin resistance; metformin; neem; type 2 diabetes

Year:  2020        PMID: 33244247      PMCID: PMC7683773          DOI: 10.2147/DMSO.S274378

Source DB:  PubMed          Journal:  Diabetes Metab Syndr Obes        ISSN: 1178-7007            Impact factor:   3.168


Introduction

Diabetes mellitus (DM) is a critical health problem, affecting the global population. The prevalence and future of diabetes, of which type 2 diabetes (T2DM) comprises the most, the economic burden, the complicating factors and how diabetes impacts cardiovascular disease (CVD) are described in several publications.1–4 Endothelial dysfunction5 (EnD), Insulin resistance6 (IR), oxidative stress7 and hyperglycemia contribute to CVD. T2DM often exhibits serum elevations of pro-inflammatory mediators, including sialic acid, a-1 acid glycoprotein, amyloid A, interleukin-1β, tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), C-reactive protein, and cortisol, which also exacerbate CVD.9–12 Neem (Azadirachta indica; family: Meliaceae), a tropical evergreen tree, is widely distributed in Asia. Neem leaves13 and seeds14 are used in Ayurveda as a household remedy. Different bioactive compounds have been isolated from neem leaves, such as nimbin, azadirachtin, nimbidiol, quercetin, nimbidin, etc.13 Many in vitro and in vivo studies have reported hypoglycemic activity of neem extracts, made with different solvents.15–20 Azadirachtin,21 Nimbidiol22 and Gedunin and Azadiradione23 also showed anti-hyperglycemic activity, but toxicity is of concern with these bioactives. Aqueous neem leaf and twig extract used in this study does not contain these bioactives, and showed good anti-hyperglycemic activity in our pre-clinical studies. Thus, the objective of the present study is a controlled clinical study to evaluate an aqueous extract of neem leaves and twigs (NEEM) primarily in hyperglycemia.

Methods and Materials

We performed this 12-week prospective, randomized, single-center, double-blind, placebo-controlled clinical trial (RCT) between December 2018 to July 2019 at the Department of Clinical Pharmacology and Therapeutics, Nizam’s Institute of Medical Sciences (NIMS), Hyderabad, India.

Enrollment of Study Subjects

Ninety-four subjects, who have already been on a standard therapy of metformin, were screened from the outpatient department of NIMS. The participants received an information package containing an informed consent form, background information of the study, and a description of the intended care as per study protocol. Informed consent was obtained from each patient before study enrollment.

Inclusion Criteria

Patients of either sex, aged between 30 and 65 years with fasting plasma glucose levels of 110–126 mg/dL, glycosylated hemoglobin (HbA1c) levels between 6.5% and 8%, under the antidiabetic treatment (metformin 1500–2500 mg/day) for the past 8 weeks before the screening visit, diagnosed with endothelial dysfunction defined as ≤6% change in reflection index (RI) on post salbutamol challenge test, were included in the study. The patients have been explained the risks and benefits of the study, and they willfully provided written informed consent.

Exclusion Criteria

The patients with severe uncontrolled diabetes (HbA1c > 8% and FBS > 210 mg/dl), uncontrolled hypertension (SBP>180mmHg and DBP>100mmHg), high levels of serum Triglycerides (>500mg/dl), or impaired hepatic or renal function (AST and ALT elevation >3 times upper limit of normal; serum creatinine >1.5 mg/dl), were excluded from this study. The patients with any serious disease requiring active treatment or patients receiving any other herbal supplements were also excluded from the study.

Ethical Consideration

The study was conducted following the Declaration of Helsinki (2013) and ‘Guidelines for Clinical Trials on Pharmaceutical Products in India – GCP Guidelines issued by the Central Drugs Standard Control Organization, Ministry of Health, and Government of India. As required by the ethics committee for a study in patients, subjects enrolled for the study were on standard therapy with metformin. IRB approval was received from NIMS (EC/NIMS/2301/2019 36th ESGS No:798/2018). Ethics committee notifications as per Good Clinical Practice Guidelines, Central Drugs Standard Control Organization and Ethical Guidelines for Biomedical Research on Human Subjects, issued by the Indian Council of Medical Research, were followed. This clinical study has been registered in the clinical trial registry, India -CTRI/2018/12/016666 [registered on: 13/12/2018]. Link:

Investigational Products

Capsules of the standardized aqueous extract of the leaves and twigs of neem (PhytoBGS®), 125 mg and 250 mg strengths, and matching placebo capsules were received from Natreon Inc, New Brunswick, NJ, USA. Placebo capsules contained microcrystalline cellulose, croscarmellose sodium, fumed silicon dioxide and magnesium stearate as excipients.

Bioactive Composition of PhytoBGS®

The bioactives quantified by HPLC-PDA are flavonoids consisting of quercetin-3-O-glucoside, quercetin-3-O-rutinoside, apigenin rutinoside and rutin derivatives. The bioactive quantified by HPLC-ELSD is myo-inositol monophosphate, which appears to be the most predominant bioactive.

Randomization and Blinding

After screening, we randomized the eligible subjects using a computer-based predetermined randomized formation (GraphPad Prism version 8) in a 1:1:1:1 ratio using unstratified blocks of the same length and assigned the subjects to one of the four treatment groups. The randomization and group assignment were concealed both from doctors and subjects. All the study medications were formulated as hard gelatin capsules having identical size, shape, color, texture, and weight, and they were packed in identical (both appearance and weight) and tamper-proof containers. The bottles containing the test products contained sequentially designated numbers and were dispensed by the pharmacist to the subjects as per the randomly allocated sequence. During data collection, the research coordinators, the study investigators, and the attending care personnel were prohibited to access the randomization codes and allocations. Unblinding was allowed only after completion of the entire data collection process or in case of serious adverse events. After the completion of the study period, the allocations were unblinded to tabulate the data, but the identity of the study groups was undisclosed to the data analysts. The data were double entered and blinded to the statisticians.

Study Groups

Group A: Placebo – Two identical capsules of placebo, twice daily administration (BID) Group B: NEEM125: 1 capsule of neem 125 mg + 1 placebo capsule, BID − (250 mg/day dose of NEEM) Group C: NEEM250: 1 capsule of neem 250 mg + 1 placebo capsule, BID − (500 mg/day dose of NEEM) Group D: NEEM500: 2 capsules of neem 250 mg, BID −- (1000 mg/day dose of NEEM) Subjects took the study products with 250 mL of water after food; they continued their concomitant medication.

Outcome Measures

The primary outcome measure was glycemic control, as assessed by reduction in post-prandial blood glucose (PPBS), fasting blood glucose (FBS), glycosylated hemoglobin (HbA1c) and homeostatic model assessment of insulin resistance (HOMA-IR) from baseline to the end of the study period, and compared to placebo. Secondary outcome measures included change in endothelial function (Reflection Index, RI), oxidative stress biomarkers – nitric oxide (NO), glutathione (GSH), malondialdehyde (MDA), inflammatory biomarker – high sensitivity C-reactive protein (hsCRP), platelet aggregation, lipid profile, and pro-inflammatory cytokines (IL-6 and TNF-α) from baseline to the end of the study period.

Assessment of Endothelial Function

Endothelial function was assessed using the salbutamol challenge test employing digital volume plethysmography, following the methods of Chowienczyk et al24 and Naidu et al.25 The patients were inspected in the supine position after resting for 5 minutes. A digital volume pulse (DVP) was recorded using a photo-plethysmograph (Pulse Trace PCA2, PT200, Micro Medical, Kent, UK) transmitting infra-red light at 940 nm, placed on the index finger of the right hand. The signal from the plethysmograph was digitized using a 12-bit analog to a digital converter with a sampling frequency of 100 Hz. DVP waveforms were recorded over 20 second period, and the height of the late systolic/early diastolic portion of the DVP was expressed as a percentage of the amplitude of the DVP to yield the RI, following the procedure of Millasseau et al.26 After the DVP recording, three measurements of RI were calculated, and the mean value was determined. The patients were then administered with 400 µg of salbutamol by inhalation. After 15 minutes, three more measurements of RI were recorded, and the difference in mean RI before and after administration of salbutamol was used for assessing endothelial function. A change in ≤6% of RI postsalbutamol administration was considered as endothelial dysfunction.

Biomarker Evaluation

MDA,27 NO 28 and GSH29 levels were estimated spectrophotometrically, and hsCRP by ELISA method. After overnight fasting of 12hr, the samples were collected after the last dose of medication for determining HbA1c and lipid profile, including total cholesterol (TC), high-density lipoprotein-cholesterol (HDL-C), low-density lipoprotein-cholesterol (LDL-C), triglyceride (TG), and very low-density lipoprotein-cholesterol (VLDL-C) by appropriate standard techniques. Platelet aggregation tests with ADP and collagen were performed using a platelet aggregometry test, ie, (Chronologlight transmittance aggregometry). TNF-α and IL-6 were estimated using commercially available ELISA kits. The HOMA-IR is an approximating equation for insulin resistance. It is estimated using the formula: fasting insulin (mIU/L) x fasting glucose (mg/dL)/405. HOMA-IR value less than 3 indicates normal insulin resistance; values between 3 and 5 indicate moderate insulin resistance, whereas values above 5 indicate severe insulin resistance.

Follow-Up Visits

The subjects were recalled for follow-up visits at 4 weeks, 8 and 12 weeks of therapy for evaluating the efficacy and safety of the interventions. FBS, PPBS, MDA, NO, GSH, hsCRP, and RI were estimated at baseline, 4 weeks, 8 and 12 weeks. HOMA-IR, IL-6, and TNF-α were evaluated at baseline, 4, and 12 weeks. HbA1c, lipid profiles, and platelet aggregation were estimated at baseline and 12 weeks of treatment (Figure 1).
Figure 1

Treatment protocol.

Treatment protocol.

Safety Evaluation

The patients underwent a complete physical examination and laboratory investigations for safety parameters, including hematological, hepatic, and renal biochemical parameters at baseline and after 12 weeks by appropriate standard techniques. At each visit, the subjects were asked to report any adverse drug reactions for records in the case report form.

Compliance Verification

The compliance with study medications was verified by the pill-count method. Compliance was considered good, fair or poor, if a patient received >80%, between 60% and 80%, or <60% of the dispensed medication.

Sample Size Determination

To detect a reduction of 10mg/dL of PPBS with a 5% margin of alpha error, power of 80% and assuming a dropout rate of 10% and a screen failure of 5% a total of 94 patients were screened.

Statistical Analysis

Data are expressed as mean ± SD. The within-group statistical analysis was done using paired “t” test. The between-group analysis was performed using ANOVA. Post-hoc analysis between the groups was done with Tukey’s test. A p-value <0.05 was considered statistically significant. The statistical analysis was done using the software GraphPad Prism 8.

Results

A total of 94 subjects were screened, and 80 eligible subjects were enrolled in the study. A total of 78 subjects completed 12 weeks of treatment. Two subjects from the NEEM 250 group dropped out of the study before the first follow-up- one subject dropped out as he got transferred to another city and the other subject dropped out citing logistical reasons as he had relocated to a far-off location in the same city. Figure 2 shows the CONSORT diagram. Table 1 shows the demographic data of the subjects, who completed the study. No significant differences were observed between the treatment groups in baseline characteristics, including age, and body mass index (BMI).
Figure 2

CONSORT diagram.

Table 1

Demographic Data of the Randomized Subjects

Placebo (A)NEEM125 (B)NEEM250 (C)NEEM500 (D)
Total No.20202020
Gender (M/F)13M/7F8M/12F14M/6F11M/9F
Age (Years)51.80 ± 6.6954.50 ± 8.1853.20 ± 7.6755.05 ± 7.88
BMI (kg/m2)26.54 ± 2.3325.63 ± 2.9224.51 ± 1.9126.01 ± 1.84
Demographic Data of the Randomized Subjects CONSORT diagram. The results are presented in Tables 2–12 and discussed below.
Table 2

Effect on Post-Prandial Blood Sugar (PPBS in mg/dL)

GroupBaseline4 Weeks% Change8 Weeks% Change12 Weeks% Change
Placebo (A)202.3 ± 12.6200.7 ± 12.6 ns−0.8 ± 2.3200.9±12.9 ns−0.7 ± 2.3201.1 ± 14.4 ns−0.6 ± 2.3
NEEM125 (B)194.4 ± 14.7188.4 ± 14.0 * NS−3.1 ± 1.5181.3±14.4 * ∞−6.7 ± 4.5173.1 ± 12.8 * ∞−10.8 ± 4.8
NEEM250 (C)192.3 ± 17.1184.2 ± 16.6 * NS−4.2 ± 2.6175.5±13.4 * ∞ NS−8.6 ± 3.6161.8 ± 9.7 * ∞ ‡−15.6 ± 4.7
NEEM500 (D)205.9 ± 7.2194.9 ± 6.0 * NS−5.3 ± 1.8177.9±4.4 * ∞ NS−13.5 ± 3.4159.3 ± 7.1 * ∞ Ω NS−22.6 ± 4.4

Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: B vs A, C vs A, D vs A, C vs B, D vs B, D vs C – NS; 8 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B, D vs B, D vs C – NS. 12 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B – ‡p ≤ 0.05; D vs B – Ωp ≤ 0.01; D vs C – NS.

Table 12

Effect on TNF-α (pg/ml)

GroupBaseline4 Weeks% Change12 Weeks% Change
Placebo (A)15.81 ± 2.6115.82 ± 2.55 ns0.20 ± 1.4915.80 ± 2.53 ns−0.06 ± 1.42
NEEM125 (B)18.96 ± 4.4518.71 ± 4.37 $ NS−0.01 ± 0.0217.92 ± 3.88 * NS−5.11 ± 3.37
NEEM250 (C)19.35 ± 3.2619.03 ± 3.16 @ NS−0.02 ± 0.0117.90 ± 2.89 * NS−7.27 ± 4.40
NEEM500 (D)17.84 ± 2.4417.42 ± 2.33 * NS−0.02 ± 0.0116.14 ± 1.87 * NS−9.09 ± 6.72

Notes: Within the groups, compared to baseline – 4 weeks: A – ns; B – $p ≤ 0.01; C – @p ≤ 0.001; D – *p ≤ 0.0001, 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 and 12 weeks: B vs A, C vs A, D vs A, C vs B, D vs B, D vs C – NS.

Table 16

Effect on HDL-C (mg/dL)

GroupBaseline12 Weeks% Change
Placebo(A)41.10 ± 2.5141.30 ± 2.620.54 ± 3.95
NEEM125(B)42.00 ± 3.5842.65 ± 4.431.44 ± 3.20
NEEM250(C)38.72 ± 5.0340.00 ± 4.993.37 ± 1.87
NEEM500(D)40.70 ± 3.2642.00 ± 3.453.22 ± 2.98
Table 17

Effect on LDL-C (mg/dL)

GroupBaseline12 Weeks% Change
Placebo(A)93.55 ± 19.8296.65 ± 16.444.68 ± 11.48
NEEM125(B)78.05 ±18.5580.15 ±16.774.08 ±11.22
NEEM250(C)88.83 ±10.3890.78 ±12.942.70 ±13.46
NEEM500(D)93.70 ± 20.4094.25 ± 20.431.04 ± 10.33
Table 18

Effect on VLDL-C (mg/dL)

GroupBaseline12 Weeks% Change
Placebo(A)23.30 ± 7.9923.80 ± 6.943.97 ± 10.03
NEEM125(B)27.45 ± 10.0827.95 ± 9.552.99 ± 9.42
NEEM250(C)29.89 ± 6.2230.50 ± 5.852.84 ± 10.52
NEEM500(D)28.10 ± 6.7928.45 ± 7.101.16 ± 4.83
Effect on Post-Prandial Blood Sugar (PPBS in mg/dL) Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: B vs A, C vs A, D vs A, C vs B, D vs B, D vs C – NS; 8 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B, D vs B, D vs C – NS. 12 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B – ‡p ≤ 0.05; D vs B – Ωp ≤ 0.01; D vs C – NS. Effect on Fasting Blood Sugar (FBS, Mg/dL) Notes: Within the groups, compared to baseline- 4 weeks: A – ns; B and C – $p ≤ 0.01; D – *p ≤ 0.0001. 8 and 12 weeks: A – ns; B, C, D – *p ≤ 0.0001. Between groups – 4 weeks: B vs A – ‡p ≤ 0.05, C vs A and D vs A – ∞p ≤ 0.0001; C vs B, D vs B, D vs C – NS. 8 weeks: B vs A – βp ≤ 0.001; C vs A and D vs A – ∞p ≤ 0.0001; C vs B – ‡p ≤ 0.05, D vs B – ∞p ≤ 0.0001; D vs C – NS. 12 weeks: B vs A, C vs A, D vs A, D vs B, D vs C – ∞p ≤ 0.0001; C vs B – βp ≤ 0.001. Effect on HOMA-IR (Homeostatic Model Assessment for Insulin Resistance) Notes: Within the groups, compared to baseline – A – $p ≤ 0.01; B, C and D – *p ≤ 0.0001; 12 weeks: A, B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: A vs B – NS; A vs C – Ωp ≤ 0.01; A vs D – βp ≤ 0.001; B vs C,B vs D and C vs D – NS; 12 weeks: A vs B – βp ≤ 0.001, A vs C, A vs D – ∞p ≤ 0.0001, B vs C – Ωp ≤ 0.01, B vs D – ∞p ≤ 0.0001, C vs D – ns. Effect on HbA1c Notes: Within the groups, compared to baseline – 12 weeks: A – #p ≤ 0.05; B, C and D – *p ≤ 0.0001; Between the groups – 12 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B – NS; D vs B – ∞p ≤ 0.0001; D vs C – ∞p ≤ 0.0001. Effect on Reflection Index (RI%) Notes: Δ – Absolute change from baseline. Within the groups, compared to baseline – 4 weeks: A – ns; B and C – @p ≤ 0.001; D – *p ≤ 0.0001. 8 weeks: A – ns; B and C – @p ≤ 0.001; D – *p ≤ 0.0001. 12 weeks: A – ns; B, C and D – *p ≤ 0.0001, Between the groups – 4 weeks: B vs A, C vs A, D vs C – NS; D vs A – ‡p ≤ 0.05; C vs B – ‡p ≤ 0.05, D vs B – βp ≤ 0.001. 8 weeks: B vs A, D vs C – NS, C vs A – βp ≤ 0.001; D vs A – ∞p ≤ 0.0001; C vs B, D vs B – ∞p ≤ 0.0001. 12 weeks: B vs A – NS; C vs A, D vs A, C vs B – ∞p ≤ 0.0001; D vs B – ∞p ≤ 0.0001; D vs C – ‡p ≤ 0.05. Effect on NO (µM/L) Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4, 8 and 12 weeks: B vs A, C vs A, D vs A, C vs B, D vs B and D vs C – NS. Effect on MDA (µM/L) Notes: Within the groups, compared to baseline – 4 weeks: A – ns; B, C and D – *p ≤ 0.0001. 8 weeks: A – ns; B – @p ≤ 0.001; C and D – *p ≤ 0.0001. 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 and 8 weeks: B vs A, C vs A, D vs A, C vs B, D vs B and D vs C – NS. 12 weeks: B vs A, C vs A, C vs B, D vs B and D vs C – NS; D vs A – ‡p ≤ 0.05. Effect on GSH (µmol/L) Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: B vs A, C vs A – NS; D vs A – ‡p ≤ 0.05; C vs B – NS; D vs B – ‡p ≤ 0.05; D vs C – ‡p ≤ 0.05. 8 weeks: B vs A, C vs A – NS; D vs A – ∞p ≤ 0.0001; C vs B – NS; D vs B – ∞p ≤ 0.0001; D vs C – ∞p ≤ 0.0001. 12 weeks: B vs A – NS; C vs A, D vs A, C vs B, D vs B, D vs C – ∞p ≤ 0.0001. Effect on hsCRP (mg/L) Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: B vs A, C vs A, C vs B – NS; D vs A – ‡p ≤ 0.05; D vs B, D vs C – ‡p ≤ 0.05. 8 weeks: B vs A, C vs A, C vs B – NS; D vs A – βp ≤ 0.001; D vs B – Ωp ≤ 0.01; D vs C – ∞p ≤ 0.0001. 12 weeks: B vs A, C vs A – ‡p ≤ 0.05; D vs A, D vs B, D vs C – ∞p ≤ 0.0001. Effect on IL-6 (pg/ml) Notes: Within the groups, compared to baseline – 4 weeks: A – ns; B – $p ≤ 0.01; C and D – *p ≤ 0.0001. 12 weeks: A – ns; B – @p ≤ 0.001; C and D – *p ≤ 0.0001. Between the groups – 4 and 12 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B, D vs B, D vs C – NS. Effect on TNF-α (pg/ml) Notes: Within the groups, compared to baseline – 4 weeks: A – ns; B – $p ≤ 0.01; C – @p ≤ 0.001; D – *p ≤ 0.0001, 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 and 12 weeks: B vs A, C vs A, D vs A, C vs B, D vs B, D vs C – NS.

Post-Prandial Blood Sugar Level

The within-group analysis shows that the PPBS level decreased significantly (p ≤ 0.0001) at all-time points of treatment, while the placebo has shown no improvement (Table 2). The between-group analysis shows that none of the groups is statistically better than the placebo at 4 weeks, while at 8 and 12 weeks, the neem extract is significantly (p ≤ 0.0001) better than the placebo. There is no significant difference between the doses at 4 and 8 weeks. However, at 12 weeks, there is a significant difference between 250 mg and 125 mg BID doses (p ≤ 0.05) and 500 mg and 125 mg BID doses (p ≤ 0.01), but not between 500 mg and 250 mg BID doses. A 22.6% decrease in PPBS at 12 weeks with the 500 mg BID dose is remarkable.

Fasting Blood Sugar Level

The within-group analysis shows that there is a significant improvement in FBS values at 4, 8, and 12 weeks of treatment with NEEM125, NEEM250 and NEEM500 (p ≤ 0.01 - p ≤ 0.0001), compared to baseline, while Placebo has not shown any improvement (Table 3). The response is dose dependent. The between-group analysis shows that NEEM125, NEEM250 and NEEM500 are significantly better than the placebo group at all the treatment time points (p ≤ 0.05 - p ≤ 0.0001), with the significance of improvement getting better with both the duration of treatment as well as the increasing dose. With 500 mg BID dose, a decrease of 19% in FBS in 12 weeks is again remarkable.
Table 3

Effect on Fasting Blood Sugar (FBS, Mg/dL)

GroupBaseline4 Weeks% Change8 Weeks% Change12 Weeks% Change
Placebo (A)121.8 ± 3.5120.9 ± 3.1 ns−0.7 ± 1.6119.5 ± 4.7 ns−1.8 ± 4.7120.1 ± 3.5 ns−1.3 ± 3.4
NEEM125 (B)119.2 ± 5.0115.8 ± 4.8 $ ‡−2.8 ± 2.7113.8 ± 5.8 * β−4.5 ± 4.2109.2 ± 5.7 * ∞−8.3 ± 4.1
NEEM250 (C)115.5 ± 4.4112.1 ± 4.7 $ ∞ NS−2.9 ± 3.7108.8 ± 3.8 * ∞ ‡−5.7 ± 3.8103.7 ± 4.2 * ∞ β−10.1 ± 3.7
NEEM500 (D)120.7 ± 4.2113.5 ± 4.4 * ∞ NS−6.0 ± 2.1105.3 ± 3.3 * ∞ NS−12.7 ± 3.497.3 ± 3.7 * ∞−19.3 ± 3.9

Notes: Within the groups, compared to baseline- 4 weeks: A – ns; B and C – $p ≤ 0.01; D – *p ≤ 0.0001. 8 and 12 weeks: A – ns; B, C, D – *p ≤ 0.0001. Between groups – 4 weeks: B vs A – ‡p ≤ 0.05, C vs A and D vs A – ∞p ≤ 0.0001; C vs B, D vs B, D vs C – NS. 8 weeks: B vs A – βp ≤ 0.001; C vs A and D vs A – ∞p ≤ 0.0001; C vs B – ‡p ≤ 0.05, D vs B – ∞p ≤ 0.0001; D vs C – NS. 12 weeks: B vs A, C vs A, D vs A, D vs B, D vs C – ∞p ≤ 0.0001; C vs B – βp ≤ 0.001.

HOMA-IR

The within-group analysis shows that HOMA-IR values reduced significantly (p ≤ 0.0001) in all groups (including placebo) at 4 and 12 weeks compared to baseline, although the magnitude of change is much less with the placebo group, compared to the other groups (Table 4). The between-group analysis shows that NEEM250 (p ≤ 0.01) and NEEM500 (p ≤ 0.001) significantly improved HOMA-IR values than the placebo at 4 weeks, while at 12 weeks, all doses of neem extract are significantly (p ≤ 0.001-p ≤ 0.0001) better than the placebo. Also, at 12 weeks, significant differences exist between 250 mg and 125 mg BID doses (p ≤ 0.01) and 500 mg and 125 mg BID doses (p ≤ 0.0001), but not between 500 mg and 250 mg BID doses. HOMA-IR values show a 57.4% decrease at 12 weeks with the 500 mg BID dose.
Table 4

Effect on HOMA-IR (Homeostatic Model Assessment for Insulin Resistance)

GroupBaseline4 Weeks% Change12 Weeks% Change
Placebo (A)4.9 ± 1.14.8 ± 1.0 $−2.2 ± 3.64.4 ± 1.0 *−10.1 ± 7.9
NEEM125 (B)4.5 ± 1.24.2 ± 1.1 * NS−5.0 ± 3.13.4 ± 0.9 * β−23.0 ± 11.1
NEEM250 (C)3.8 ± 1.13.4 ± 0.9 * Ω NS−7.5 ± 4.32.5 ± 0.6 * ∞Ω−32.9 ± 12.26
NEEM500 (D)4.6 ± 1.33.7 ± 0.9* βNS−20.8 ± 7.22.0 ± 0.6 * ∞ NS−57.4 ± 6.4

Notes: Within the groups, compared to baseline – A – $p ≤ 0.01; B, C and D – *p ≤ 0.0001; 12 weeks: A, B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: A vs B – NS; A vs C – Ωp ≤ 0.01; A vs D – βp ≤ 0.001; B vs C,B vs D and C vs D – NS; 12 weeks: A vs B – βp ≤ 0.001, A vs C, A vs D – ∞p ≤ 0.0001, B vs C – Ωp ≤ 0.01, B vs D – ∞p ≤ 0.0001, C vs D – ns.

HbA1c

Within the group analysis: HbA1c values reduced significantly for placebo (p ≤ 0.05) and all doses of neem extract (p ≤ 0.0001) at 12 weeks compared to baseline (Table 5). HbA1c values show a 19.6% decrease at 12 weeks with the 500 mg BID dose.
Table 5

Effect on HbA1c

GroupBaseline12 Weeks% Change
Placebo (A)7.62 ± 0.47.57 ± 0.4 #−0.7 ± 1.3
NEEM125 (B)6.87 ± 0.46.64 ± 0.4 * ∞−3.4 ± 1.6
NEEM250 (C)7.52 ± 0.46.86 ± 0.3 * ∞ NS−8.7 ± 3.2
NEEM500 (D)7.78 ± 0.26.26 ± 0.4 * ∞−19.6 ± 4.9

Notes: Within the groups, compared to baseline – 12 weeks: A – #p ≤ 0.05; B, C and D – *p ≤ 0.0001; Between the groups – 12 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B – NS; D vs B – ∞p ≤ 0.0001; D vs C – ∞p ≤ 0.0001.

Between the group analysis: HbA1c values reduced significantly NEEM125 (p ≤ 0.0001), NEEM250 (p ≤ 0.0001) and NEEM500 (p ≤ 0.0001) groups, compared to placebo at 12 weeks. Also, significant differences exist between 250 mg and 500 mg BID doses (p ≤ 0.0001), and 500 mg and 125 mg BID doses (p ≤ 0.0001), but not between 125 mg and 250 mg BID doses.

Endothelial Function-Reflection Index

Within the group analysis: %RI values reduced significantly after 4, 8, and 12 weeks of treatment with NEEM125, NEEM250 and NEEM500 (p ≤ 0.01- p ≤ 0.0001) compared to baseline, while Placebo has not shown any improvement (Table 6).
Table 6

Effect on Reflection Index (RI%)

GroupBaseline4 WeeksΔ8 WeeksΔ12 WeeksΔ
Placebo (A)−2.59 ± 1.11−2.62 ± 1.10 ns−0.03 ± 0.20−2.65 ± 1.21 ns−0.06 ± 0.20−2.69 ± 1.60 ns−0.10 ± 1.00
NEEM125 (B)−2.16 ± 0.62−2.31 ± 0.59 @ NS−0.16 ± 0.17−2.41 ± 0.59 @ NS−0.25 ± 0.27−3.00 ± 0.58 * NS−0.84 ± 0.31
NEEM250 (C)−2.47 ± 1.08−3.17 ± 0.92 @ NS ‡−0.71 ± 0.68−4.21 ± 1.59 @ β ∞−1.74 ± 1.72−4.88 ± 1.51 *∞−2.41 ± 1.93
NEEM500 (D)−2.76 ± 0.97−3.53 ± 1.02 * ‡ β NS−0.78 ± 0.32−4.47 ± 1.07 * ∞ NS−1.72 ± 0.46−5.96 ± 0.86 *∞ ‡−3.21 ± 0.89

Notes: Δ – Absolute change from baseline. Within the groups, compared to baseline – 4 weeks: A – ns; B and C – @p ≤ 0.001; D – *p ≤ 0.0001. 8 weeks: A – ns; B and C – @p ≤ 0.001; D – *p ≤ 0.0001. 12 weeks: A – ns; B, C and D – *p ≤ 0.0001, Between the groups – 4 weeks: B vs A, C vs A, D vs C – NS; D vs A – ‡p ≤ 0.05; C vs B – ‡p ≤ 0.05, D vs B – βp ≤ 0.001. 8 weeks: B vs A, D vs C – NS, C vs A – βp ≤ 0.001; D vs A – ∞p ≤ 0.0001; C vs B, D vs B – ∞p ≤ 0.0001. 12 weeks: B vs A – NS; C vs A, D vs A, C vs B – ∞p ≤ 0.0001; D vs B – ∞p ≤ 0.0001; D vs C – ‡p ≤ 0.05.

Between the group analysis: %RI values reduced significantly with NEEM250 and NEEM500 groups, compared to placebo at 8 weeks (p ≤ 0.001; p ≤ 0.0001) and 12 weeks (p ≤ 0.0001; p ≤ 0.0001).

Nitric Oxide

Within the group analysis: NEEM125, NEEM250 and NEEM500 treatments significantly increased NO levels after 4, 8, and 12 weeks of treatment (p ≤ 0.0001) compared to baseline, while Placebo has not shown any improvement (Table 7).
Table 7

Effect on NO (µM/L)

GroupBaseline4 Weeks% Change8 Weeks% Change12 Weeks% Change
Placebo (A)35.17 ± 5.6035.73 ± 5.62 ns1.76 ± 4.6036.38 ± 4.40 ns4.43 ± 9.8536.60 ± 4.30 ns5.39 ± 12.58
NEEM125 (B)37.20 ± 5.0639.15 ± 4.46 * NS5.58 ± 3.0040.76 ± 4.20 * NS10.07 ± 4.3641.97 ± 4.18 * NS13.40 ± 5.05
NEEM250 (C)33.02 ± 3.3735.31 ± 3.40 * NS7.11 ± 5.8936.79 ± 3.55 * NS11.67 ± 7.3338.29 ± 3.49 * NS16.28 ± 7.95
NEEM500 (D)32.25 ± 4.1635.04 ± 3.88 * NS8.90 ± 4.0937.07 ± 3.43 * NS15.45 ± 5.9639.18 ± 3.43 * NS22.12 ± 7.25

Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4, 8 and 12 weeks: B vs A, C vs A, D vs A, C vs B, D vs B and D vs C – NS.

Between the group analysis: all doses of NEEM failed to produce any significant effect on NO levels compared to placebo.

Malondialdehyde

Within the group analysis: all doses of NEEM significantly reduced MDA levels after 4, 8, and 12 weeks of treatment (p ≤ 0.0001) compared to baseline (Table 8). Placebo failed to show any changes.
Table 8

Effect on MDA (µM/L)

GroupBaseline4 Weeks% Change8 Weeks% Change12 Weeks% Change
Placebo (A)3.28 ± 0.403.29 ± 0.39 ns0.38 ± 1.133.27 ± 0.39 ns−0.07 ± 0.823.27 ± 0.40 ns−0.25 ± 0.57
NEEM125 (B)3.18 ± 0.393.15 ± 0.39 * NS−1.23 ± 0.843.12 ± 0.39 @ NS−1.94 ± 2.123.09 ± 0.39 * NS−2.90 ± 2.16
NEEM250 (C)3.25 ± 0.373.20 ± 0.37 * NS−1.45 ± 0.643.17 ± 0.36 * NS−2.31 ± 1.333.14 ± 0.36 * NS−3.18 ± 1.33
NEEM500 (D)3.32 ± 0.373.23 ± 0.35 * NS−2.63 ± 1.543.14 ± 0.36 * NS−5.43 ± 2.322.94 ± 0.29 * NS ‡−11.47 ± 3.50

Notes: Within the groups, compared to baseline – 4 weeks: A – ns; B, C and D – *p ≤ 0.0001. 8 weeks: A – ns; B – @p ≤ 0.001; C and D – *p ≤ 0.0001. 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 and 8 weeks: B vs A, C vs A, D vs A, C vs B, D vs B and D vs C – NS. 12 weeks: B vs A, C vs A, C vs B, D vs B and D vs C – NS; D vs A – ‡p ≤ 0.05.

Between the group analysis: the 12-week treatment with NEEM500 significantly reduced MDA levels compared to placebo (p ≤ 0.05). All other doses of NEEM failed to produce any significant effect on MDA levels compared to placebo.

Glutathione

Within the group analysis: all doses of NEEM significantly increased GSH levels after 4, 8, and 12 weeks of treatment (p ≤ 0.0001) compared to baseline (Table 9). Placebo failed to show any changes.
Table 9

Effect on GSH (µmol/L)

GroupBaseline4 Weeks% Change8 Weeks% Change12 Weeks% Change
Placebo (A)561.86 ± 12.92561.97 ± 12.85 ns0.02 ± 0.06562.22 ± 12.79 ns0.06 ± 0.14562.40 ± 12.34 ns0.10 ± 0.39
NEEM125 (B)558.76 ± 15.81560.09 ± 15.87 * NS0.24 ± 0.16561.69 ± 16.32 * NS0.52 ± 0.28565.30 ± 16.55 * NS1.17 ± 0.34
NEEM250 (C)556.26 ± 13.35560.04 ± 12.67 * NS0.68 ± 0.33563.51 ± 12.83 * NS1.31 ± 0.52601.47 ± 13.92 * ∞8.14 ± 1.49
NEEM500 (D)559.01 ± 16.64574.30 ± 18.79 * NS ‡2.75 ± 2.53603.47 ± 13.65 * ∞7.99 ± 2.04626.58 ± 11.23 * ∞12.14 ± 2.39

Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: B vs A, C vs A – NS; D vs A – ‡p ≤ 0.05; C vs B – NS; D vs B – ‡p ≤ 0.05; D vs C – ‡p ≤ 0.05. 8 weeks: B vs A, C vs A – NS; D vs A – ∞p ≤ 0.0001; C vs B – NS; D vs B – ∞p ≤ 0.0001; D vs C – ∞p ≤ 0.0001. 12 weeks: B vs A – NS; C vs A, D vs A, C vs B, D vs B, D vs C – ∞p ≤ 0.0001.

Between the group analysis: NEEM500 significantly increased GSH levels after 4 weeks (p ≤ 0.05), 8 weeks (p ≤ 0.0001) and 12 weeks (p ≤ 0.0001) compared to placebo. NEEM250 significantly increased GSH levels after 12 weeks (p ≤ 0.0001) compared to placebo. NEEM125 failed to produce any significant effect on GSH levels compared to placebo.

hsCRP

Within the group analysis: all doses of NEEM significantly reduced hsCRP levels after 4, 8, and 12 weeks of treatment (p ≤ 0.0001) compared to baseline (Table 10). Placebo failed to show any changes.
Table 10

Effect on hsCRP (mg/L)

GroupBaseline4 Weeks%Change8 Weeks% Change12 Weeks% Change
Placebo (A)3.33 ± 0.353.34 ± 0.36 ns−0.24 ± 0.973.31 ± 0.36 ns−0.76 ± 1.423.32 ± 0.36 ns−0.59 ± 1.31
NEEM125 (B)3.42 ± 0.303.31 ± 0.30 * NS−3.40 ± 2.583.22 ± 0.27 * NS−5.83 ± 3.713.02 ± 0.24 * ‡−11.39 ± 7.72
NEEM250 (C)3.67 ± 0.573.41 ± 0.54 * NS−7.04 ± 6.533.37 ± 0.48 * NS−7.91 ± 3.432.98 ± 0.41 * ‡ NS−18.28 ± 6.93
NEEM500 (D)3.25 ± 0.413.01 ± 0.35 * ‡−7.32 ± 6.532.83 ± 0.34 * β Ω ∞−12.49 ± 10.512.45 ± 0.35 *∞−23.86 ± 12.10

Notes: Within the groups, compared to baseline – 4, 8 and 12 weeks: A – ns; B, C and D – *p ≤ 0.0001. Between the groups – 4 weeks: B vs A, C vs A, C vs B – NS; D vs A – ‡p ≤ 0.05; D vs B, D vs C – ‡p ≤ 0.05. 8 weeks: B vs A, C vs A, C vs B – NS; D vs A – βp ≤ 0.001; D vs B – Ωp ≤ 0.01; D vs C – ∞p ≤ 0.0001. 12 weeks: B vs A, C vs A – ‡p ≤ 0.05; D vs A, D vs B, D vs C – ∞p ≤ 0.0001.

Between the group analysis: NEEM500 significantly reduced hsCRP levels after 4 weeks (p ≤ 0.05), 8 weeks (p ≤ 0.001) and 12 weeks (p ≤ 0.0001) compared to placebo. NEEM125 and NEEM250 significantly reduced hsCRP levels after 12 weeks (p ≤ 0.05; p ≤ 0.05) compared to placebo.

IL-6

Within the group analysis: all doses of NEEM significantly reduced IL-6 levels after 4 and 12 weeks of treatment (p ≤ 0.01 - p ≤ 0.0001) compared to baseline (Table 11). Placebo failed to show any changes.
Table 11

Effect on IL-6 (pg/ml)

GroupBaseline4 Weeks% Change12 Weeks% Change
Placebo (A)12.75 ± 3.5012.72 ± 3.51 ns−0.20 ± 0.4112.73 ± 3.49 ns−0.08 ± 0.24
NEEM125 (B)8.24 ± 2.698.18 ± 2.66 $ ∞−0.61 ± 0.817.95 ± 2.67 @ ∞−3.86 ± 5.03
NEEM250 (C)9.21 ± 2.189.06 ± 2.15 * ∞ NS−1.61 ± 1.228.47 ± 2.06 * ∞ NS−8.10 ± 4.87
NEEM500 (D)8.07 ± 3.707.87 ± 3.61 * ∞ NS−2.35 ± 2.227.17 ± 3.22 * ∞ NS−10.31 ± 8.87

Notes: Within the groups, compared to baseline – 4 weeks: A – ns; B – $p ≤ 0.01; C and D – *p ≤ 0.0001. 12 weeks: A – ns; B – @p ≤ 0.001; C and D – *p ≤ 0.0001. Between the groups – 4 and 12 weeks: B vs A, C vs A, D vs A – ∞p ≤ 0.0001; C vs B, D vs B, D vs C – NS.

Between the group analysis: all doses of NEEM significantly reduced IL-6 levels after 4 and 12 weeks of treatment (p ≤ 0.0001) compared to placebo.

TNF-α

Within the group analysis: all doses of NEEM significantly reduced TNF-α levels after 4 and 12 weeks of treatment (p ≤ 0.01 - p ≤ 0.0001) compared to baseline (Table 12). Placebo failed to show any changes. Between the group analysis: all doses of NEEM failed to produce any significant effect on TNF-α levels compared to placebo.

Platelet Aggregation Using ADP and Collagen

NEEM did not have any significant effect on platelet aggregation induced by either ADP or collagen (Tables 13 and 14).
Table 13

Effect on Platelet Aggregation Using ADP

GroupBaseline12 Weeks% Inhibition
Placebo (A)68.85 ± 7.7670.85 ± 8.370.82 ± 1.73
NEEM125 (B)71.95 ± 12.1774.85 ± 12.331.00 ± 2.24
NEEM250 (C)81.50 ± 12.0683.17 ± 11.231.30 ± 2.14
NEEM500 (D)66.75 ± 7.7367.45 ± 7.201.47 ± 2.16
Table 14

Effect on Platelet Aggregation Using Collagen

GroupBaseline12 Weeks% Inhibition
Placebo (A)64.90 ± 7.8967.05 ± 7.390.58 ± 1.16
NEEM125 (B)67.40 ± 9.0868.60± 8.511.10 ± 1.58
NEEM250 (C)70.17 ± 9.0870.83 ± 8.301.32 ± 2.14
NEEM500 (D)66.90 ± 9.1867.35 ± 7.262.00 ± 2.41
Effect on Platelet Aggregation Using ADP Effect on Platelet Aggregation Using Collagen

Lipid Profile (Tables 15–19)

NEEM did not have any significant effect on the lipid profile (TC, HDL-C, LDL-C, and TG) (Tables 15– 19).
Table 15

Effect on TC (mg/dL)

GroupBaseline12 Weeks% Change
Placebo (A)157.95 ± 21.95161.75 ± 18.8141.10 ± 2.51
NEEM125 (B)147.50 ± 20.78150.75 ± 20.082.42 ± 5.21
NEEM250 (C)157.44 ± 9.33161.28 ± 14.012.45 ± 6.59
NEEM500 (D)162.50 ± 22.54164.70 ± 22.271.57 ± 5.98
Table 19

Effect on TG (mg/dL)

GroupBaseline12 Weeks% Change
Placebo(A)115.75 ± 39.66119.05 ± 34.784.62 ± 9.46
NEEM125(B)136.95 ± 50.83139.9 ± 47.773.65 ± 10.64
NEEM250(C)149.11 ±31.52152.39 ±29.303.04 ±10.51
NEEM500 (D)140.30 ± 33.52142.40 ± 34.921.44 ± 4.38
Effect on TC (mg/dL) Effect on HDL-C (mg/dL) Effect on LDL-C (mg/dL) Effect on VLDL-C (mg/dL) Effect on TG (mg/dL) No significant changes were observed in vital, hematological, renal, and hepatic functions in all groups (). All subjects tolerated the therapy well. One patient in NEEM125 and one in NEEM500 reported mild gastrointestinal disturbances, which subsided with symptomatic treatment. None of the subjects in either group discontinued the study due to adverse events. No incidence of hypoglycemia was reported by any of the subjects.

Discussion

Twelve-week treatment with NEEM, at all dosages studied, has significantly decreased the PPBS levels compared to placebo. Some pre-clinical studies support this finding. A combination of A. indica and G. procumbens ethanolic extracts has significantly reduced the postprandial blood glucose levels in alloxan-induced diabetic rats compared to the control group.30 Meliacinolin, isolated from A. indica leaves, significantly reduced the postprandial blood glucose levels in streptozotocin-induced diabetic rats.20 No RCTs have been found in the literature for evaluating the antidiabetic effects of neem leaf extract. Similarly, NEEM treatment, at all the doses, significantly reduced the FBS levels compared to placebo and supported by in-vivo studies with experimentally diabetes-induced laboratory animals.17,31–33 NEEM significantly reduced insulin resistance, compared to the placebo group. This result is supported by a report that a polyherbal formulation containing neem leaves significantly reduced HOMA-IR values in the high fat diet-fed, low dose streptozocin-induced experimental type 2 diabetes in rats.34 NEEM significantly reduced the HbA1c levels, confirming an improved glycemic control compared to the placebo group. This finding is supported by Shailey et al and Gutierrez et al, who reported that A. indica leaf extract showed significantly lower HbA1c levels in experimentally induced diabetic rats compared to the control group.18,35 In addition to its anti-hyperglycemic effect, NEEM significantly improved endothelial function in T2DM subjects, compared to the placebo group. No such findings were available in the literature. NEEM also significantly reduced the oxidative stress as evidenced by significant reduction in MDA levels and increase in GSH level, compared to baseline. These results are substantiated by several animal studies.35–38 NEEM also significantly reduced the systemic inflammatory markers in T2DM subjects, compared to baseline. Though no studies have investigated the effect of neem extract on systemic inflammatory markers in diabetic humans, several studies have reported that neem extract can reduce the levels of pro-inflammatory cytokines (IL-6 and TNF-α) in experimentally-inflammation-induced laboratory animals, which supports our findings.39–43 It is promising to note that most of the outcome measures in the present study are also significant at 8 weeks as well as 4 weeks of treatment with NEEM, compared to the placebo. It is very interesting to note that the observed NEEM’s significant effects on glycemic control, endothelial function and systemic inflammation are in addition to the effects of metformin treatment the subjects have been receiving. It is also important to note that animal study results may not always hold true in controlled human clinical trials, as NEEM in this study showed no effect on lipid profile, while some animal studies have shown improvement. Α-glucosidase and α-amylase inhibitory activities of meliacinolin, a bioactive in the leaves of neem, were suggested to be the mechanisms of action for antihyperglycemic effect.20 The blood sugar lowering activity of neem leaf extract may be due to its insulin release effect via preventing the glucose load induced inhibitory effect of serotonin on insulin release.44 Actual mechanism of action studies on NEEM are in progress. The major limitations of the present study design are the relatively small sample size, relatively short duration of the study and lack of monitoring food intake and exercise, although the subjects were instructed to continue their routine food intake and exercise. Studies with a larger population and longer duration, involving a wider cross-section of the subjects with regard to age groups, occupation, and socioeconomic background, are planned.

Conclusion

The present study has established that a proprietary standardized aqueous extract of the leaves and twigs of Azadirachta indica has the potential to significantly help blood sugar management, improve vascular health and reduce systemic inflammation in subjects with type 2 diabetes mellitus. And, the beneficial effects observed with this extract were in addition to the benefits provided by the metformin treatment. Although, some neem extracts, especially of the seeds and possibly of the alcoholic extracts of the leaves, the aqueous extract used in this study seemed to have no safety concerns. However, additional large-scale studies are planned to confirm safety and efficacy of this product.
  38 in total

1.  Tissue sulfhydryl groups.

Authors:  G L ELLMAN
Journal:  Arch Biochem Biophys       Date:  1959-05       Impact factor: 4.013

Review 2.  The role of oxidative stress in the pathogenesis of type 2 diabetes mellitus micro- and macrovascular complications: avenues for a mechanistic-based therapeutic approach.

Authors:  Franco Folli; Domenico Corradi; Paolo Fanti; Alberto Davalli; Ana Paez; Andrea Giaccari; Carla Perego; Giovanna Muscogiuri
Journal:  Curr Diabetes Rev       Date:  2011-09

3.  Meliacinolin: a potent α-glucosidase and α-amylase inhibitor isolated from Azadirachta indica leaves and in vivo antidiabetic property in streptozotocin-nicotinamide-induced type 2 diabetes in mice.

Authors:  Rosa Martha Perez-Gutierrez; Monica Damian-Guzman
Journal:  Biol Pharm Bull       Date:  2012       Impact factor: 2.233

4.  IDF Diabetes Atlas: Global estimates of diabetes prevalence for 2017 and projections for 2045.

Authors:  N H Cho; J E Shaw; S Karuranga; Y Huang; J D da Rocha Fernandes; A W Ohlrogge; B Malanda
Journal:  Diabetes Res Clin Pract       Date:  2018-02-26       Impact factor: 5.602

5.  Effects of combined leaf extract of Vernonia amygdalina and Azadirachta indica on hepatic morphology and hepatotoxicity markers in streptozotocin-induced diabetic rats.

Authors:  Oluwole Busayo Akinola; Gabriel Olaiya Omotoso; Oluwafunmike Sharon Akinola; Olufunke Olubusola Dosumu; Esther Tomi Adewoye
Journal:  Zhong Xi Yi Jie He Xue Bao       Date:  2011-12

6.  Lowering of blood sugar by water extract of Azadirachta indica and Abroma augusta in diabetes rats.

Authors:  Eshrat M Halim
Journal:  Indian J Exp Biol       Date:  2003-06       Impact factor: 0.818

7.  A supercritical CO2 extract of neem leaf (A. indica) and its bioactive liminoid, nimbolide, suppresses colon cancer in preclinical models by modulating pro-inflammatory pathways.

Authors:  Mandakini J Patel; Shreya Tripathy; Keya D Mukhopadhyay; Tamna Wangjam; April B Cabang; Jay Morris; Michael J Wargovich
Journal:  Mol Carcinog       Date:  2018-05-08       Impact factor: 4.784

8.  Strengthening of antioxidant defense by Azadirachta indica in alloxan-diabetic rat tissues.

Authors:  Sweta Shailey; Seemi Farhat Basir
Journal:  J Ayurveda Integr Med       Date:  2012-07

Review 9.  Environmental/lifestyle factors in the pathogenesis and prevention of type 2 diabetes.

Authors:  Hubert Kolb; Stephan Martin
Journal:  BMC Med       Date:  2017-07-19       Impact factor: 8.775

10.  In vitro screening for protein tyrosine phosphatase 1B and dipeptidyl peptidase IV inhibitors from selected Nigerian medicinal plants.

Authors:  Yusuf Saidu; Suleiman Alhaji Muhammad; Abdullahi Yahaya Abbas; Andrew Onu; Ibrahim Mohammed Tsado; Luba Muhammad
Journal:  J Intercult Ethnopharmacol       Date:  2016-12-22
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  3 in total

1.  Effectiveness and Safety of Ayurvedic Medicines in Type 2 Diabetes Mellitus Management: A Systematic Review and Meta-Analysis.

Authors:  Kaushik Chattopadhyay; Haiquan Wang; Jaspreet Kaur; Gamze Nalbant; Abdullah Almaqhawi; Burak Kundakci; Jeemon Panniyammakal; Michael Heinrich; Sarah Anne Lewis; Sheila Margaret Greenfield; Nikhil Tandon; Tuhin Kanti Biswas; Sanjay Kinra; Jo Leonardi-Bee
Journal:  Front Pharmacol       Date:  2022-06-08       Impact factor: 5.988

2.  Sunlight Photocatalytic Performance of ZnO Nanoparticles Synthesized by Green Chemistry Using Different Botanical Extracts and Zinc Acetate as a Precursor.

Authors:  Juan López-López; Armando Tejeda-Ochoa; Ana López-Beltrán; José Herrera-Ramírez; Perla Méndez-Herrera
Journal:  Molecules       Date:  2021-12-21       Impact factor: 4.411

Review 3.  Exploring the therapeutic potential of Neem (Azadirachta Indica) for the treatment of prostate cancer: a literature review.

Authors:  Neelu Batra; Vigneshwari Easwar Kumar; Roshni Nambiar; Cristabelle De Souza; Ashley Yuen; Uyen Le; Rashmi Verma; Paramita M Ghosh; Ruth L Vinall
Journal:  Ann Transl Med       Date:  2022-07
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