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The effect of garlic extracts on glycated hemoglobin and fasting blood sugar in animal and human studies: A systematic review and meta-analysis
*Corresponding author: Beyene Dereje, Department of Pharmacology, School of Medicine, College of Medicine and Health Sciences, Dire Dawa University, Dire Dawa, Ethiopia. beyexderie23@gmail.com
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Received: ,
Accepted: ,
How to cite this article: Dereje B, Nardos A, Deyno S. The effect of garlic extracts on glycated hemoglobin and fasting blood sugar in animal and human studies: A systematic review and meta-analysis. Int J Health Sci (Qassim). 2025;19:49-61. doi: 10.25259/OJS_9019
Abstract
Objectives:
The ability of garlic to modify blood glucose levels captured researchers’ interest due to its implications for diabetes management. We systematically reviewed and quantitatively analyzed relevant in vivo and clinical studies of the effects of garlic extracts on glycated hemoglobin (HbA1c) and fasting blood sugar (FBS) levels.
Methods:
A systematic search of articles on PubMed, Google Scholar, Cochrane Library, Health InterNetwork Access to Research Initiative (HINARI) Register, and Citation databases through August 31, 2024, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 statement was done, and animal studies of different garlic extracts on FBS as well as clinical trials on both FBS and HbA1c were included. The ARRIVE guidelines and Jadad score were used to assess the quality of the studies.
Results:
From 6,867 articles retrieved, the data were synthesized from 43 articles, including 27 in vivo experiments with a total of 448 study animals and 16 clinical studies with 843 study subjects. Pooled analysis revealed that garlic lowered FBS in both in vivo studies (standardized mean difference [SMD] = -1.32; 95% confidence interval [CI] [-1.74, -0.89], P < 0.00001) and clinical trials (SMD = -1.37; 95% CI [-1.87, -0.87], P < 0.00001). Garlic also significantly improved HbA1c levels in clinical studies (SMD = -2.98; 95% CI [-4.71, -1.25], P < 0.00001).
Conclusion:
This study reveals that the oral and intraperitoneal administration of garlic extracts significantly reduced the HbA1c and FBS. Although there are encouraging results, more clinical data are required to determine the best dosage, preparation, and duration of therapy, as well as any side effects and possible product interactions, when using garlic for its antihyperglycemic benefits.
Keywords
Blood glucose
Diabetes
Garlic
HbA1c
Hyperglycemia
Meta-analysis
INTRODUCTION
Diabetes mellitus (DM) is a group of metabolic illnesses characterized by exorbitant blood glucose levels caused by the body’s inability to produce or use insulin.[1] It is characterized by bouts of glucose intolerance and hyperglycemia as a result of impaired insulin action, inadequate insulin production, or diminished tissue insulin sensitivity.[2,3] Uncontrolled diabetes frequently results in chronic hyperglycemia or elevated blood sugar, which is linked to long-term harm, dysfunction, and failure of different organs, particularly the eyes, kidneys, nerves, heart, and blood vessels.[4] Improper treatment can cause serious issues that not only deteriorate the quality of life of patients but also increase treatment expenses. The aftermath of incorrect treatment can be quite severe, ranging from prolonged hospital stays to additional medical procedures, which can significantly increase the cost of health care for patients.[5]
According to the International Diabetes Federation, there are currently 537 million diabetic patients worldwide between the ages of 20 and 79 years, with that figure expected to increase to 643 million by 2030 and 783 million by 2045.[6] The most frequent causes of this growth are an increase in sedentary behavior, the consumption of foods high in calories, obesity, and a longer life expectancy.[7] The percentage of patients with DM who have seen a physician is sharply increasing.[8,9] The use of traditional plant medicines that control hyperglycemia and dyslipidemia and avoid diabetes-related problems has received much attention among the available therapeutic options, such as hypoglycemic medications and insulin therapy, which have drawbacks.[10,11]
Due to its potentially lethal complications, DM can be more severe than other non-communicable diseases. Despite the development of a number of synthetic drugs, none of these substances have yet to fully recover. Accessible, non-toxic drugs are still needed because some synthetic compounds have major side effects when used repeatedly.[12] Traditional remedies have long been recognized as reliable sources of medicine. These compounds are widely utilized globally, demonstrating that herbs are becoming an increasingly important component of contemporary and cutting-edge therapies.[13] More than 21,000 medicinal plants have been recognized worldwide.[14] There are more than 400 plants that can be used to cure diabetes. Although there are numerous herbal medicines available for the treatment of diabetes, only a small subset of these plants have been subjected to scientific and medical evaluation to determine their effectiveness.[15]
Plant-based medications are often regarded to be less expensive, more safe, and have less side effects than synthetically manufactured pharmaceuticals.[16] Garlic is regarded as a plant capable of efficiently lowering blood sugar levels when used in herbal therapy. Garlic, a member of the Liliaceae family, is extensively grown and has been shown to benefit human health. Because no antibiotics or pharmaceuticals were available around 1550 B.C., garlic was used to treat a range of epidemics such as typhus, dysentery, cholera, and influenza.[17,18] It is also a nutraceutical spice rich in polyphenols and organosulfur that has been utilized since antiquity. It has a variety of organic sulfur compounds, amino acids, vitamins, and minerals.[19-21]
The primary volatile sulfur compounds include alliin, allicin, diallyl disulfide (DADS), diallyl trisulfide (DATS), diallyl sulfide, S-allyl cysteine (SACS), ajoene, and allyl mercaptan, which are the active components of garlic that are considered responsible for its health benefits DM. Allicin, SACS, and DADS are examples of garlic constituents that have therapeutic effects on insulin, lipid profiles, and serum glucose levels.[22] In animal studies, garlic has been demonstrated to improve metabolic syndrome and insulin sensitivity.[23]
A clinical trial on the impact of raw garlic on type 2 diabetic patients revealed a significant decrease in blood sugar levels and improvements in lipid metabolism and superoxide dismutase, catalase, and glutathione peroxidase levels in the erythrocytes of diabetic patients.[24] The therapeutic benefits of garlic and garlic extracts in the treatment of individuals with diabetes and related metabolic disorders have been shown in studies in animal models and in preliminary human trials. There are some reviews done on garlic antidiabetic effects. However, most studies lack comprehensive quantitative analysis on fasting blood sugar (FBS) and glycated hemogobin (HbA1c) as well as did not include both animal and human studies together. Considering the evidence related to the effects of garlic extracts, it is highly recommendable to systematically analyze these effects. Thus, the aim of this study was to investigate the antihyperglycemic effects of garlic to reach comprehensive conclusions through a systematic review and meta-analysis.
MATERIALS AND METHODS
Search design
This study was a systematic review and meta-analysis that examined the antihyperglycemic effects of garlic, Allium sativum, with studies performed in English that were published until August 31, 2024, and the study was performed using database searches with its reporting adhering to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA).[25]
Search strategy
From inception through August 31, 2024, databases such as PubMed/MEDLINE, the Cochrane Library, Google Scholar, and HINARI were evaluated. Additional studies were found by searching the reference lists of all listed papers. To summarize the number of papers identified, screened, excluded, and ultimately included in the study, a PRISMA 2020 statement, checklist, and flow diagram were used. The following keywords were used in the search: (Diabetes mellitus OR diabetes OR antihyperglycemic OR DM OR T1DM OR T2DM OR diabetes mellitus type 1 OR diabetes mellitus type 2) AND (garlic OR Allium sativum OR allicin OR alliin OR diallyl sul*ide OR s-allyl cysteine OR ajoene OR diallyl trisul*ide OR diallyl disul*ide).
Study selection and data extraction
All reviewers independently conducted a literature search, evaluated relevant published papers, and sequentially screened the titles and abstracts of the papers for eligibility. The data gathered and documented were all cross-checked by the second and third reviewers for accuracy and data quality. The full texts of potentially relevant studies were obtained. To ensure the application of reliability to the selection criteria, a screening guide was used. The present study included in vivo studies and clinical trials that assessed the antihyperglycemic effects of garlic from A. sativum. Data extraction was carried out using a pre-designed framework to facilitate better evidence extraction and management. The author, study model, animal type, extraction method employed, if possible, components of the extract used, duration of treatment, and effects on blood glucose levels are among the extracted data.
Inclusion and exclusion criteria
Studies with a particular measurement approach and a pre-determined number of garlic components utilized in the investigation are more likely to meet the inclusion requirements, whether they are in vivo or clinical studies. For both clinical and animal studies, articles on treatment interventions and original research articles were also included. In vivo or clinical studies without full abstracts, pre-defined garlic doses, or blood glucose measurements were excluded because it is difficult to systematically review the significance of the extract’s effects on HbA1c and FBS, as well as quantitative aspects of the studies cannot be analyzed. In addition, studies in which no intervention was performed, studies with no control group, review articles, commentaries, communications, or correspondences, or short communications were excluded.
Risk of bias and quality assessment
To reduce bias, all clinical trial articles were independently assessed for their methodological quality using the Jadad quality rating system. The study qualities of the included trials were diverse, as six trials were classified as high quality with a Jadad score of 4, and 10 trials were classified as low quality with a Jadad score of 3 or 2. Allocation concealment was clearly adequate in eight studies. No clinical trials reported the generation of random numbers. Randomization, dropout, and free selective reporting were all reported in all clinical trials [Table 1]. The in vivo animal experiments were reported using the guiding principles in the ARRIVE 2.0 guidelines. For the critical appraisal of reports, risk-of-bias domains were also applied to all studies conducted in vivo, from the abstract to the discussion section of the studies.[26,27]
Study | Allocation concealment | Blinding* | Randomization | Withdraw, dropouts | Free selective reporting | Random number generation | Jadad score |
---|---|---|---|---|---|---|---|
Mirunalini et al.[24] | Yes | Yes | Yes | Yes | Yes | Not Clear | 4 |
Parham et al.[57] | Yes | Yes | Yes | Yes | Yes | Not Clear | 4 |
Choudhary et al.[58] | Yes | No | Yes | Yes | Yes | Not Clear | 3 |
Sukandar et al.[60] | Not Clear | Yes | Yes | Yes | Yes | Not Clear | 3 |
Kumar et al.[61] | No | No | Yes | Yes | Yes | Not Clear | 2 |
Chhatwal et al.[62] | Yes | No | Yes | Yes | Yes | Not Clear | 3 |
Ashraf et al.[63] | No | No | Yes | Yes | Yes | Not Clear | 2 |
Mahmoodi et al.[64] | Not Clear | No | Yes | Yes | Yes | Not Clear | 2 |
Sobenin et al.[65] | Yes | Yes | Yes | Yes | Yes | Not Clear | 4 |
Li et al.[66] | Not Clear | Yes | Yes | Yes | Yes | Not Clear | 3 |
Zhang et al.[67] | Yes | Yes | Yes | Yes | Yes | Not Clear | 4 |
Bordia et al.[70] | No | Yes | Yes | Yes | Yes | Not Clear | 3 |
Ali and Thomson[71] | Not Clear | No | Yes | Yes | Yes | Not Clear | 2 |
Jain et al.[72] | Not Clear | Yes | Yes | Yes | Yes | Not Clear | 3 |
Afarid et al.[73] | Yes | Yes | Yes | Yes | Yes | Not Clear | 4 |
RESULTS
Characteristics of the included studies
A total of 6,867 study articles were found through the use of electronic databases, registers, and other search methods [Figure 1], which were updated and analyzed using ShinyApp to construct PRISMA 2020 flow diagrams.[28,29] By removing duplicates and unconnected entries manually and automatically via the PRISMA 2020 online application, the total number of articles was reduced to 542; after thorough abstract and title screening, 56 papers remained. Following additional full-text screening and article exclusion with the addition of 32 previous studies, a total of 43 articles (16 trials and 27 in vivo) were included in the review.

- Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 flow diagram for screened, excluded, and included studies. FBS: Fasting blood sugar.
Four publications were excluded for failing to disclose doses, three for lacking blood glucose readings, nine for having unrelated indications, seven for lacking a control group, nine for failing to indicate interventions, five for being only short reports, five for being database duplicates, and three for having only abstracts. Both experiments yielded funnel plots, which are graphical representations of trial size plotted against the reported effect size; as trial size increases, trials are likely to converge around the true underlying effect size. In addition, the three funnel plots created, show that there is a more symmetrical plot, as the studies resemble each other in the 95% confidence interval (CI), which indicates there is less likelihood of publication bias for the studies analyzed [Figures 2-4]. The outcomes were verified by the effect measure using the inverse variance statistical method, the random effects analysis model, and the standard mean difference for the synthesis or presentation of results.

- Funnel plots for in vivo studies with pseudo 95% confidence limits indicating the graphical representation of the size of the experiments plotted against the effect size. SE: Standard Error, SMD: Standard mean difference or Cohen’s d. Dotted line represents confidence interval and circles represent individual studies.

- Funnel plots for clinical studies with pseudo 95% confidence limits that indicate a graphical representation of the size of trials plotted against the effect size for fasting blood sugar. SE: Standard Error, SMD: Standard mean difference or Cohen’s d. Dotted line represents confidence interval and circles represent individual studies.

- Funnel plots for clinical studies with pseudo 95% confidence limits that indicate a graphical representation of the size of trials plotted against the effect size for HbA1c. SE: Standard Error, SMD: Standard mean difference or Cohen’s d. Dotted line represents confidence interval and circles represent individual studies.
In vivo studies
Of the 27 in vivo studies analyzed in this systematic review and meta-analysis, 17 employed type 1 DM, 9 used type 2 DM experimental procedures, and 1 study did not define the type of DM. Five experimental studies were performed on mice,[30-34] twenty studies were performed on rats,[35-54] and two studies were performed on rabbits.[55,56] The in vivo trials were performed on 448 study animals with durations ranging from acute effects of up to 16 weeks and dosages of garlic extract ranging from 20 mg/kg to 500 mg/kg [Table 2].
References | Diabetes induction | Animals | DM induced | Duration | Dosage preparation | Garlic dose used | Route of administration |
---|---|---|---|---|---|---|---|
Bhattacharya et al.[30] | Alloxan | Mice | I | 6 days | AGE (NO generating protein) | 400 mg/kg | I.P. |
Zhai et al.[31] | DIO | Mice | II | 8 weeks | S-allyl-cysteine sulfoxide | 200 mg, 500 mg/kg | I.P. |
Hattori et al.[32] | KK-A (y) | Mice | II | 8 weeks | Ajoene (derived from garlic) | Diet containing Ajoene 0.05% | Oral |
Kumar and Reddy[33] | Alloxan | Mice | I | 4 weeks | Ethanol garlic extract | 45 mg/kg | I.P. |
Swanston-Flatt et al.[34] | STZ | Mice | I | 40 days | Bulb of garlic | 1000 mg garlic in 400 mL water | Oral |
Peng and Hu[35] | STZ | Rat | I | 7 weeks | Aqueous garlic extract | 500 mg/kg | I.P. |
Thomson et al.[36] | STZ | Rat | II | 8 weeks | Aged garlic extract | 100 mg, 300 mg, 600 mg/kg | Oral |
Shiju et al.[37] | STZ | Rat | I | 12 weeks | Aged garlic extract | 500 mg/kg | Oral |
Hfaiedh et al.[38] | Alloxan | Rat | II | 4 weeks | Fresh garlic extract | 300 mg/kg | I.P. |
Madkor et al.[39] | STZ | Rat | I | 28 days | Garlic bulb powder | 20 mg/kg | Oral |
Saravanan and Ponmurugan[40] | STZ | Rat | I | 45 days | S-allyl cysteine | 150 mg/kg | Oral |
Saravanan et al.[41] | STZ | Rat | I | 45 days | S-allyl cysteine | 150 mg/kg | Oral |
Younis et al.[42] | Fructose, CRDH | Rat | II | 60 days | S-allyl- mercapto- captopril | 53.5 mg/kg | I.P. |
Nasim et al.[43] | Alloxan | Rat | I | 5 weeks | Alliin component of garlic | 500 mg/kg | Oral |
Hosseini et al.[44] | STZ | Rat | I | 8 weeks | Aqueous garlic extract | 100 g in 100 mL 0.9% saline solution | Oral |
Jalal et al.[45] | High Fructose-fed | Rat | II | 8 weeks | Aqueous garlic extract | 500 mg/kg | I.P. |
Eidi et al.[46] | STZ | Rat | I | 14 days | Garlic ethanol extract | 100 mg, 250 mg, and 500 mg/kg | Oral |
Thomson et al.[47] | KK-A (y) | Rat | NS* | 4 weeks | Raw garlic extract | 500mk/kg | I.P. |
Liu et al.[48] | STZ | Rat | I | 16 weeks | GO and DADS | GO 100 mg/kg, DADS 40/80 mg/kg | Oral |
El-Demerdash et al.[49] | Alloxan | Rat | I | 4 weeks | Garlic juice | 100 mg/kg | Oral |
Liu et al.[50] | STZ | Rat | I | 3 weeks | GO and DATS | GO 100 mg/kg, DATS 40 mg/kg | Oral |
Jelodar et al.[51] | Alloxan | Rat | I | 2 weeks | Garlic methanol extract | 12.5% garlic in diet | Oral |
Sheela and Augusti[52] | Alloxan | Rat | I | 4 weeks | S-allyl cysteine sulfoxide | 200 mg/kg | I.P. |
Okorie et al.[53] | Alloxan | Rat | II | 21 days | Mixed extracts with garlic | 300 mg/kg | Oral |
Susanti et al.[54] | STZ | Rat | II | 14 days | Single clove garlic extract | 50 mg, 75 mg, 125 mg/kg | Oral |
Jain and Vyas[55] | Alloxan | Rabbit | I | Acute Effect | Ethyl and petroleum ether extract | 0.25 mg/kg | I.P., Oral |
Nasri[56] | Alloxan | Rabbit | II | Acute Effect | Aqueous garlic extract | 250 mg, 300 mg and 350 mg/kg | Oral |
STZ: Streptozotocin, NS*: Not stated, DIO: Diet-induced obesity, I.P.: Intraperitoneal, CRDH: Cohen-Rosenthal diabetic hypertensive, GO: Garlic oil, DATS: Diallyl Trisulfide, AGE: Aged garlic extract, NO: Nitric oxide, DADS: Diallyl Disulfide, KK-A(y): A mouse with cross between diabetic KK (Kasukabe-derived mouse) and agouti or lethal yellow A(y) mice.
A total of 27 in vivo studies involving 448 animals reported data on blood sugar levels from their experimental procedures. Seventeen studies used oral routes, nine studies used I.P. routes, and one study employed both oral and I.P. routes of administration. The extracts used in the study were ethanol extracts, fresh garlic extracts, aqueous garlic extracts, aged garlic extracts, ethyl ether extracts, petroleum ether extracts, and methanol extracts. The forest plot diagram shows that the I2 values are heterogeneous among the included studies. For all outcome indicators of the studies, the I2 value showed significant heterogeneity. When sensitivity analyses were performed by excluding outlier trials from the pooled studies, the degree of heterogeneity ranged from moderate to high. Thus, the pooling technique was based on the random effects model. The in vivo study results suggested that garlic significantly improved the FBS of diabetic animals compared with that of the placebo group (SMD = -1.32; 95% CI [-1.74, -0.89], P < 0.00001) [Figure 5].

- Forest plot results for the effects of garlic on the change in fasting blood sugar (mg/dL) in the experimental and control comparison groups for animal (in vivo) studies. Small green squares represent the effect size of individual studies, the horizontal lines extending from the squares represent the CI for those studies, and a black diamond at the bottom represents the pooled effect size and its CI from the meta-analysis. SD: Standard deviation, Std.: Standard, IV: Inverse variance, df: Degrees of freedom, CI: Confidence interval, Tau: Kendall’s Tau is a tool to determine degree of association between two ordinal variables, Chi: Chi-square test to determine association of two nominal variables, P: Probability value, I2: Percentage of variation among studies caused by heterogeneity, Z: Standard score.
Clinical studies
A total of 16 trials recruiting 843 subjects reported data on FBS concentrations. The duration of the 16 clinical studies on diabetic patients ranged from 10 days to 3 months, with various doses and preparation levels. Twelve studies revealed a substantial decrease in blood sugar levels,[57-69] while four studies showed no significant decrease in blood sugar levels.[59,70-72] For the effects of garlic on blood sugar levels, a minimum dose of 8.5 mg per day and a maximum dose of 3 g per day were utilized [Table 3].
References | Study design | Preparation type | Study participants | ||
---|---|---|---|---|---|
Male | Female | Garlic | |||
Mirunalini et al.[24] | Parallel | Garlic combination* | 40 | 0 | 20 |
Parham et al.[57] | Parallel | Garlic tablet, allicor | 16 | 48 | 33 |
Choudhary et al.[58] | Open label | Garlic with metformin | 15 | 25 | 20 |
Sukandar et al.[60] | Parallel | AGE | Not Stated | 17 | |
Kumar et al.[61] | Open label | Garlic with metformin | Not Stated | 30 | |
Chhatwal et al.[62] | Open label | Ethyl acetate extract | Not Stated | 30 | |
Ashraf et al.[63] | Open label | Garlic tablet | 33 | 27 | 30 |
Mahmoodi et al.[64] | Open label | Raw garlic | 53 | 32 | 45 |
Sobenin et al.[65] | Parallel | Garlic with turmeric | 26 | 34 | 30 |
Li et al.[66] | Parallel | Garlicin | Not Stated | 13 | |
Zhang et al.[67] | Parallel | Garlic oil and allicin | 27 | 33 | 39 |
Bordia et al.[70] | Parallel | AGE | Not Stated | 30 | |
Ali and Thomson[71] | Open label | Fresh garlic | 8 | 0 | 4 |
Jain et al.[72] | Parallel | Garlic powder | 19 | 23 | 20 |
Afarid et al.[73] | Parallel | Garlic tablet | 63 | 28 | 45 |
Ghorbani et al.[74] | Parallel | Crushed raw garlic | Not Stated | 25 | |
References | Study participants | Duration of study | Garlic dose used in the study | Route of administration | |
Placebo | Mean age | ||||
Mirunalini et al.[24] | 20 | Not Stated | 12 weeks | 750 mg/day | Oral |
Parham et al.[57] | 31 | 48.2±2.6 | 4 weeks | 300 mg BID | Oral |
Choudhary et al.[58] | 20 | 53.8±12.2 | 12 weeks | 250 mg garlic/day | Oral |
Sukandar et al.[60] | 12 | 57.5±3.7 | 12 months | 2400 mg/day | Oral |
Kumar et al.[61] | 30 | 53.3±11.6 | 12 weeks | 250 mg garlic/day | Oral |
Chhatwal et al.[62] | 30 | 45.3±7.6 | 3 months | 1 g raw garlic/day | Oral |
Ashraf et al.[63] | 30 | 40.11±5.04 | 24 weeks | 300 mg TID | Oral |
Mahmoodi et al.[64] | 40 | 44.47±7.57 | 42 days | 10 g/day | Oral |
Sobenin et al.[65] | 30 | 53.12±2.11 | 12 weeks | 2.4 g/day | Oral |
Li et al.[66] | 21 | 49.8±9.23 | 10 days | 64 mg/kg | I.V. drip |
Zhang et al.[67] | 21 | 27.5±2.1 | 11 weeks | 8.2 mg, 7.8 mg/day | Oral |
Bordia et al.[70] | 30 | Not Stated | 4 weeks | 1200 mg/day | Oral |
Ali and Thomson[71] | 4 | 40.2±5.8 | 16 weeks | 3 g/day | Oral |
Jain et al.[72] | 22 | 52±12 | 12 weeks | 900 mg/day | Oral |
Afarid et al.[73] | 46 | 59.5±8.25 | 4 weeks | 500 mg/day | Oral |
Ghorbani et al.[74] | 25 | 58.24±6.38 | 4 weeks | 100 mg/kg | Oral |
The I2 values showed that there was heterogeneity among the studies. A priori group analysis and sensitivity analysis were carried out to determine the potential cause of heterogeneity in these trials. For all outcome indicators, the I2 values demonstrated significant heterogeneity among the studies. Similar to the in vivo studies, when sensitivity analyses were performed by excluding outlier trials from the pooled studies, the degree of heterogeneity ranged from moderate to high. As a result, the pooling technique was based on the random effects model. The results suggested that garlic significantly improved FBS compared with the placebo (SMD = -1.37; 95% CI [-1.87, -0.87], P < 0.00001) [Figure 6]. Although only six studies[57,60-62,64,73] reported the effect of garlic on HbA1c, the pooled analysis of their findings indicated that garlic significantly improved the HbA1c of clinical study subjects (SMD = -2.98; 95% CI [-4.71, -1.25], P < 0.00001) [Figure 7].

- Forest plot results for the effects of garlic on the change in fasting blood sugar (mg/dL) in the experimental and placebo comparison groups in clinical studies. Small green squares represent the effect size of individual studies, the horizontal lines extending from the squares represent the CI for those studies, and a black diamond at the bottom represents the pooled effect size and its CI from the meta-analysis. SD: Standard deviation, Std.: Standard, IV: Inverse variance, df: Degrees of freedom, CI: Confidence interval, Tau: Kendall’s Tau is a tool to determine degree of association between two ordinal variables, Chi: Chi-square test to determine association of two nominal variables, P: Probability value, I2: Percentage of variation among studies caused by heterogeneity, Z: Standard score.

- Forest plot results for the effects of garlic on the change in HbA1c in the experimental and placebo comparison groups for clinical studies. Small green squares represent the effect size of individual studies, the horizontal lines extending from the squares represent the CI for those studies, and a black diamond at the bottom represents the pooled effect size and its CI from the meta-analysis. SD: Standard deviation, Std.: Standard, IV: Inverse variance, df: Degrees of freedom, CI: Confidence interval, Tau: Kendall’s Tau is a tool to determine degree of association between two ordinal variables, Chi: Chi-square test to determine association of two nominal variables, P: Probability value, I2: Percentage of variation among studies caused by heterogeneity, Z: Standard score.
Phytochemical and antihyperglycemic activities
This systematic review revealed that the garlic phytochemicals that have antihyperglycemic effects include alliin, allicin, DADS, DATS, diallyl sulfide, SACS, and ajoene. The structure is listed below with the help of ChemDraw to construct the figures [Figure 8].

- The structures of phytochemicals isolated from Allium sativum garlic. (1) Allicin, (2) S-allyl cysteine, (3) ajoene, (4) alliin, (5) diallyl sulfide, (6) diallyl disulfide, (7) diallyl trisulfide (ChemDraw) was used to construct the figures.
DISCUSSION
The present study examined 43 articles on the effects of garlic on blood sugar levels in 27 animal models and 16 clinical investigations. The results of this systematic review and meta-analysis demonstrated that eating garlic significantly decreased FBS levels. Garlic may affect blood sugar levels in a variety of ways. It includes increasing the secretion of endogenous insulin, improving insulin sensitivity and insulin-like activity,[20,50,74] reducing oxidative stress,[23] enhancing beta-cells in the pancreas by promoting their regeneration,[75] and possibly interfering with carbohydrate absorption through fibers.[76] The majority of the articles revealed that, compared to diabetic controls, garlic and its constituents exhibited significant antihyperglycemic benefits. Studies conducted in animals revealed that garlic significantly reduced blood sugar levels, even when combined with aqueous extracts of Cymbopogon citratus and Annona muricata leaves.[53,56] These studies indicated that the most efficient way to drastically decrease blood glucose levels was with a single clove garlic extract taken orally once a day at a dose of 125 mg/kg.[54] Injection of a unique, isolated protein that produces nitric oxide from aqueous garlic extract dramatically lowered blood sugar levels in diabetic mice.[30]
The most effective and active component of garlic, A. sativum, which has an antihyperglycemic effect of 0.25 mg/kg orally, was reported to be the ethyl ether extract of garlic, which was due to increased insulin-like activity.[55,77] In vivo studies revealed that the remarkable blood glucose-lowering effects of ethanol or aqueous extracts, S-allyl-cysteine sulfoxide, SACS, diallyl sulfoxide, triallyl sulfoxide, and oil from A. sativum in healthy and streptozotocin (STZ)- and alloxan-induced diabetic rats, mice, or rabbits are mediated by the stimulation of insulin secretion from parietal cells.[35,43,49] According to different studies, a number of recent studies evaluating the impact of garlic on FBS levels have been published. We revisited the topic of garlic’s impact on blood glucose for several reasons. The severity of diabetes and the participants’ initial blood sugar levels were factors, as researchers have examined how garlic juice or extracts affect oral glucose tests in normal and alloxan-DM rabbits.[56,78,79]
All garlic formulations improved the oral glucose test in both normal and diabetic mice and decreased FBS. In contrast, allicin reduced the FBS concentration and increased the oral glucose concentration in rats with mild but not severe alloxan-induced diabetes, but had no effect on the FBS concentration in control rats. It has been proposed that garlic’s ineffectiveness at decreasing FBS concentrations in normal animals may be due to their capacity to maintain normal blood sugar homeostasis.[80-82] The residual beta-cell mass in the model used, however, was too low to provide high enough basal insulin concentrations to demonstrate improvements in glucose clearance at a first-order rate, which is thought to have caused the ineffectiveness of garlic in lowering an abnormally high FBS level in diabetes patients. Because various garlic preparations contain various compounds, the type of garlic used in these trials and how it was prepared are both crucial. The temperature, preparation time, and extraction solvents are only a few of the processing variables that have a large impact on the chemical makeup of a garlic product.[44,83,84]
Clinical trials revealed that herbal mixtures, including A. sativum, were effective at reducing insulin resistance and blood sugar levels in people with advanced type 2 diabetes[57] and daily oral administration of 100 mg/kg garlic extract lowered plasma glucose levels.[58] A few recent studies have also shown that garlic can lower lipid profiles, glucose parameters (FBS levels),[83,84] and hemoglobin A1c (HbA1c) in diabetic patients.[85] According to some research, using the antidiabetic medication metformin at a dosage of 500 mg twice daily and the herb garlic at a dosage of 300 mg three times daily for 24 weeks may have greater potential for managing diabetes patients by lowering blood glucose levels and other parameters.[63] Through lowering fasting blood glucose levels via HbA1c, double-blind clinical research in diabetic patients revealed that garlic herbal medicine at 750 mg 3 times per day for 12 weeks had potential effects on the management of diabetes.[57]
These studies demonstrated the potential of garlic in the care of diabetic patients by lowering fasting blood glucose levels as well as other indicators, such as total cholesterol, low-density lipoprotein, triglycerides, and hyperlipidemia.[58,59,63,65] Six clinical studies have reported the effect of garlic consumption on HbA1c.[57,60-62,64,73] The pooled effect analysis of the study showed that garlic significantly improved the level of HbA1c with long-term intervention. The effects of garlic on glycemic control have been investigated in the current meta-analysis in both animal studies for FBS and clinical trials for FBS and HbA1c. The examination of solely randomized, controlled clinical trials and the impartial evaluation of trial quality are additional strengths of the current study.
Garlic decreases fasting blood glucose levels in both animal and human trials, according to the findings of this systematic review and meta-analysis. Although traditional diabetes medications can be used as antihyperglycemic agents, some diabetic patients cannot take them because of significant side effects. As a result, people with minor increases in serum glucose who are unable to tolerate pharmaceutical drugs may realize that consuming garlic is a safe and beneficial alternative. Despite these promising results, more clinical studies, as well as consistency in the techniques used to manufacture extracts, the duration of interventions, and the standards established for research design, are still needed to acquire accurate data.
Strengths and limitations of the articles
Garlic is a typical herbal treatment used to treat diabetes, and data from in vivo trials in animal models suggest that more research with human individuals is needed. Clinical research has made tremendous breakthroughs in our understanding of garlic’s antidiabetic effects. STZ and alloxan are used in animal studies to induce diabetes, which usually results in type 1 diabetes until the induction dose is increased. However, these findings indicate a better approach for future research into all mechanisms underlying garlic activity, including its antihyperglycemic effects. The great majority of studies lack specific formulations, compositions, standards, methodologies, and preparation processes.
CONCLUSION
The findings of this systematic review and meta-analysis show that garlic lowers fasting blood glucose levels in both animal and human trials. Although standard diabetes therapies can be used as antihyperglycemic agents, some diabetic patients are unable to take them due to adverse side effects. As a result, those with minor elevations in serum glucose who are unable to handle pharmaceutical medications may discover that eating garlic is a safe and beneficial option. Despite the encouraging results, it has been stressed that additional clinical trials, as well as consistency in the procedures used to create extracts, the duration of interventions, and the standards established for research design, are still required to collect correct data.
Authors’ contributions:
BD, AN, SD: Contributed equally to the preparation, conceptualization, searching and selection, data extraction and analysis, writing of the manuscript, and approval of the final manuscript.
Ethical approval:
The ethical clearance for this study was sought and obtained from the Institutional Review Board of Hawassa University, College of Medicine and Health Science, with protocol number of No. 1, Ref. No. IRB/156/14, dated February 7, 2023.
Declaration of patient consent:
Patient’s consent not required as patients identity is not disclosed or compromised.
Financial support and sponsorship:
Nil.
Conflicts of interest:
There are no conflicts of interest.
Availability of data and material:
All the required data are included within the article.
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