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. 2026 Jan 16;9(1):e2554152. doi: 10.1001/jamanetworkopen.2025.54152

Berberine and Adiposity in Diabetes-Free Individuals With Obesity and MASLD

A Randomized Clinical Trial

Lubi Lei 1, Bin Wang 2, Lingshan Zhao 1, Jingkuo Li 1, Xiaofang Yan 1, Jiandong Jiang 3,4, Lulu Wang 4, Gang Ren 4, Yinchu Li 1, Xiaoguang Cheng 5, Xiaoyan Yan 6, Yidan Zhu 6, Yuanlin Guo 7, Hui Zhong 1, Haibo Zhang 1,, Jing Li 1,, for the BRAVO Collaborative Group
PMCID: PMC12811813  PMID: 41543854

This randomized clinical trial assesses the efficacy and safety of berberine therapy to reduce visceral adipose tissue and liver fat content in diabetes-free individuals with obesity and metabolic dysfunction–associated steatotic liver disease.

Key Points

Question

Can treatment with berberine reduce visceral adipose tissue (VAT) and liver fat content in diabetes-free individuals with obesity and metabolic dysfunction–associated steatotic liver disease (MASLD)?

Findings

In this randomized clinical trial including 337 participants, those treated with berberine for 6 months had similar changes in VAT area and liver fat content and showed no excess risk compared with placebo.

Meaning

The findings suggest that berberine therapy in diabetes-free individuals with obesity and MASLD is safe but has no significant effect on VAT area or liver fat content.

Abstract

Importance

Berberine is a potential therapy for metabolic disorders, yet its effects on visceral adipose tissue (VAT) and liver fat remain uncertain.

Objectives

To evaluate the efficacy and safety of berberine in reducing VAT area and liver fat content in diabetes-free individuals with obesity and metabolic dysfunction–associated steatotic liver disease (MASLD).

Design, Setting, and Participants

In this multicenter, double-blind randomized clinical trial, diabetes-free individuals with obesity and MASLD were enrolled at 11 hospitals in China between July 6 and December 29, 2023, with a follow-up duration of 6 months.

Interventions

Participants were randomly assigned to receive either oral berberine, 1 g/d, or a matching placebo.

Main Outcomes and Measures

The primary outcomes were relative percentage change in VAT area and absolute change in liver fat content assessed by computed tomography. Other outcomes included changes in parameters of glucose, lipids, and inflammation. Analyses were conducted according to the intention-to-treat principle.

Results

Among 337 randomized participants (mean [SD] age, 41.8 [10.6] years; 221 [65.6%] male), 169 received berberine and 168 placebo. The mean (SD) medication adherence rates were 90.3% (14.7%) for berberine and 90.7% (17.4%) for placebo. No significant differences were observed between study arms for VAT area (1.4% [97.5% CI, −2.4% to 5.2%]) or liver fat content (0.9% [97.5% CI, −0.4% to 2.1%). Berberine was associated with larger reductions in low-density lipoprotein cholesterol (−7.72 [95% CI, −13.13 to −1.93] mg/dL), apolipoprotein B (−3.42 [95% CI, −6.33 to −0.51] mg/dL) and high-sensitivity C-reactive protein (hs-CRP) (−0.072 [95% CI, −0.140 to −0.004] mg/dL) vs placebo, but not other secondary outcomes. The incidence of adverse events was similar between study arms. Post hoc analyses suggested consistent patterns of larger reductions in low-density lipoprotein cholesterol, apolipoprotein B, and hs-CRP levels in participants with higher baseline hs-CRP levels.

Conclusions and Relevance

In this randomized clinical trial of diabetes-free individuals with obesity and MASLD, a 6-month berberine treatment at a daily dose of 1 g had an excellent safety profile but did not reduce VAT area or liver fat content.

Trial Registration

ClinicalTrials.gov Identifier: NCT05647915

Introduction

Excess adiposity, defined by either general obesity or abdominal obesity, affects more than 40% of the global population.1 The accumulation of visceral adipose tissue (VAT) and ectopic fat deposition in the liver, known as metabolic dysfunction–associated steatotic liver disease (MASLD), are the key drivers of systemic insulin resistance, inflammation, and cardiometabolic risk, making them critical targets for intervention.2,3,4,5 While glucagon-like peptide 1 receptor agonists demonstrate efficacy in reducing visceral fat and liver fat,6,7 their long-term use is limited by weight regain after withdrawal,8,9,10 gastrointestinal adverse effects,11,12 and high costs.

Berberine, a bioactive alkaloid derived from plants such as Berberis vulgaris, has emerged as a potential therapy for MASLD and for reducing VAT by mechanisms that differ from glucagon-like peptide 1 receptor agonists. Berberine primarily acts via the activation of adenosine monophosphate kinase and extracellular regulated protein kinases,13 promoting glucose and fatty acid use and inhibiting de novo lipogenesis. It has been reported to improve insulin sensitivity,14,15,16 suppress hepatic lipid synthesis,17,18 and modulate inflammatory responses.19,20 A meta-analysis showed that berberine improved lipid profiles and insulin sensitivity in patients with MASLD.21 Additionally, both an open-label trial and a double-blind trial reported that berberine reduced liver fat in patients with MASLD.22,23 However, these studies predominantly involved individuals with diabetes or impaired glucose regulation, leaving it uncertain whether the fat-reducing effects extend to individuals with normal glucose levels. Moreover, the effect of berberine on VAT, an important marker associated with cardiometabolic morbidity and mortality, has not yet been investigated. Clarifying these issues could help determine whether berberine may serve as an early, well-tolerated, and affordable intervention to mitigate metabolic risk before the onset of overt diabetes.

In this multicenter, double-blind, placebo-controlled randomized clinical trial, we evaluated the efficacy and safety of berberine in reducing VAT area and liver fat content in diabetes-free individuals with MASLD and obesity. We also assessed the effects of berberine on glucose and lipid profiles, high-sensitivity C-reactive protein (hs-CRP), parameters of liver fibrosis, liver enzymes, and body composition.

Methods

Study Design

We conducted a double-blind, randomized clinical trial at 11 hospitals in China to evaluate the efficacy and safety of berberine in reducing VAT area and liver fat content in diabetes-free individuals with obesity and MASLD over a treatment period of 6 months. All investigators are listed in eMethods 1 in Supplement 1. The trial protocol and the statistical analysis plan are available in Supplement 2. The central ethics committee at Fuwai Hospital and the ethics committee of each participating site approved the trial. The trial was registered December 4, 2022, on ClinicalTrials.gov. The trial was conducted and reported in accordance with the Consolidated Standards of Reporting Trials (CONSORT) reporting guideline. All participants provided written informed consent.

Participants

Individuals who were at least 18 years of age with obesity and nonalcoholic fatty liver disease (NAFLD) were eligible for this study. The term NAFLD had not been replaced by MASLD at the time of enrollment. Obesity was defined as meeting the criteria of both body mass index (BMI, calculated as weight in kilograms divided by height in meters squared) more than 28 and waist circumference of more than 85 cm in females or 90 cm in males.24 NAFLD was determined by evidence from ultrasonography, computed tomography (CT), or magnetic resonance imaging. Major exclusion criteria were history of cardiovascular disease, diabetes, excess alcohol consumption (≥30 g/wk for males or ≥20 g/wk for females), or other causes of fatty liver disease. The full inclusion and exclusion criteria are listed in eMethods 2 in Supplement 1.

Randomization and Masking

Eligible participants entered a 30-day prerandomization run-in phase in which berberine hydrochloride (0.5 g) was administered twice daily. Individuals who no longer met the eligibility criteria, were intolerant of berberine hydrochloride, or had medication adherence lower than 80% were excluded. Those who remained eligible were randomly allocated in a 1:1 ratio using a minimized randomization program via a central online system to receive either berberine hydrochloride (0.5 g) twice daily or a matching placebo for 6 months. All eligible participants also received tailored lifestyle interventions (eMethods 3 in Supplement 1).25,26,27 A daily dose of 1.0 g total was selected to optimize tolerability and adherence. This dose was supported by a systematic review suggesting that a dose of 1.0 g/d was equally effective in improving cardiovascular risk factors compared with higher doses (≥1.5 g/d).28 However, higher doses of berberine therapy were reported to have increased risk of gastrointestinal intolerance.29,30 Six months for treatment duration was chosen to allow sufficient time for measurable changes in visceral and liver fat.31 Randomization factors include age (<65, ≥65 years), sex (female, male), prediabetes (yes, no), abnormal liver function (yes, no), and lipid-lowering medication use (yes, no).

Berberine hydrochloride and the matching placebo were manufactured by Yunnan Biovalley Pharmaceutical Co Ltd in compliance with Good Manufacturing Practice standards. The active medication was formulated into tablets, each containing 0.1 g of berberine hydrochloride. Both berberine and placebo tablets were indistinguishable in appearance, weight, color, taste, and packaging to maintain blinding. Participants were required to take 5 tablets twice daily (after breakfast and dinner) orally for 6 months. The study medications were prepared and packaged in tamper-proof bottles labeled with a unique blinded medication code and dispensed to the study sites by Yunnan Biovalley Pharmaceutical Co Ltd. The central online system instructed the local physician to dispense the medication based on the medication code, ensuring allocation concealment. Study investigators, participants, data managers, local CT technicians, and radiologists in the core laboratory were blinded to the treatment allocation. The final statistical analysis was performed by independent statisticians (Xiaoyan Yan and Y.Z.) after database lock and unblinding.

Outcomes

Participants attended follow-up visits at 2, 4, and 6 months (eMethods 4 in Supplement 1). Outcomes were measured at baseline and 6 months. The 2 primary outcomes were the relative percentage change in VAT area and the absolute change in liver fat content. Both were assessed by CT and analyzed by independent radiologists who were blinded to the treatment allocation (eMethods 5 in Supplement 1). Liver fat content derived from CT demonstrates good correlation and accuracy with proton density fat fraction obtained from chemical shift encoded magnetic resonance imaging in the Chinese population.32

Secondary outcomes were changes in a comprehensive panel of cardiometabolic parameters, including levels of glycated hemoglobin A1c, fasting plasma glucose, 2-hour postprandial plasma glucose, homeostatic model assessment of insulin resistance,33 homeostatic model assessment of β cell function,33 homeostatic model assessment of insulin sensitivity,33 triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol (LDL-C), total cholesterol, lipoprotein(a), apolipoprotein A1, apolipoprotein B (apoB), serum uric acid, systolic and diastolic blood pressure, BMI, body weight, waist circumference, and waist to height ratio. We also compared the remission of prediabetic status to normal glucose status between arms among participants with prediabetes at baseline. Prediabetic status was defined as fasting plasma glucose between 109.8 and 126.0 mg/dL, inclusive, or as 2-hour postprandial plasma glucose between 140.4 and 199.8 mg/dL, inclusive (to convert to mmol/L, multiply by 0.0555). Normal glucose status was defined as meeting 3 criteria: fasting plasma glucose less than 109.8 mg/dL, 2-hour postprandial plasma glucose of 140.4 mg/dL or lower, and glycated hemoglobin A1c of 5.7% or lower (to convert to proportion of total hemoglobin, multiply by 0.01). Exploratory outcomes included changes in hs-CRP, the fibrosis-4 index,34 NAFLD fibrosis score,35 and levels of alanine aminotransferase, aspartate aminotransferase, and gamma-glutamyl transferase. Safety outcomes included frequency of serious adverse events, nonserious adverse events of interest, and treatment discontinuation (eMethods 6 in Supplement 1).

Prespecified subgroups analyses for the primary outcomes included age (<40, ≥40 years), sex (female, male), LDL-C (≤131.3, >131.3 mg/dL; to convert to mmol/L, multiply by 0.0259), prediabetic status (yes, no), and abnormal liver function (yes, no). Abnormal liver function was defined as alanine aminotransferase or aspartate aminotransferase exceeding 2 times the upper limit of normal. We also conducted a post hoc subgroup analysis of baseline hs-CRP (<0.2, 0.2-0.3, >0.3 mg/dL; to convert to mg/L, multiply by 10) for primary and secondary outcomes.

Statistical Analysis

The sample size was calculated based on the 2 primary outcomes. Assuming a rate of individuals unavailable for follow-up of 2% and medication adherence over 90%, a sample of 326 participants was estimated to provide 80% power to detect a placebo-adjusted relative reduction of 5% (SD, 13%) in VAT area at a 2-sided significance level of .025. A sample of 149 participants was estimated to provide 80% power to detect a placebo-adjusted absolute reduction of 4% (SD, 7%) in liver fat content at a 2-sided significance level of .025. The larger of these 2 estimates was targeted for enrollment.

All randomized participants were included in the full analysis set for the main analysis of the primary outcomes according to the intention-to-treat principle. Missing data for VAT area and liver fat content were handled using multiple imputation with the Markov chain Monte Carlo method (statistical analysis plan in Supplement 2). The primary analysis used a linear regression model to compare the change in VAT area and liver fat content between study arms, including a treatment arm indicator (berberine, placebo) and the baseline VAT area or liver fat content. We performed several sensitivity analyses: a per-protocol analysis restricted to participants with complete outcome measurements and good treatment adherence (statistical analysis plan in Supplement 2); a multivariable analysis adjusting for age (<65, ≥65 years), sex (male, female), prediabetic status (yes, no), abnormal liver function (yes, no), and use of lipid-lowering medications (yes, no); a mixed-effect model with sites as random effects; and a post hoc analysis in the full analysis set without imputation.

For secondary and exploratory continuous outcomes, a similar linear model was used with log transformation applied to outcomes with skewed distributions. Categorical outcomes were analyzed using a logistic regression model. All analyses of these outcomes were performed on a complete-case basis without imputation. Safety analyses included all participants who received at least 1 dose of berberine or placebo. Safety outcomes were compared between study arms using χ2 tests or Fisher exact tests, as appropriate.

All statistical analyses were performed in SAS, version 9.4 (SAS Institute Inc), and R, version 4.1.1 (R Project for Statistical Computing). For the 2 primary outcomes, we reported estimates and 97.5% CIs at a 2-sided significance level of .025 to account for multiplicity. All the other results were reported as point estimates with 95% CIs at a 2-sided significance level of .05, with no adjustment for multiplicity given the exploratory nature of these assessments.

Results

The enrollment was conducted from July 6 to December 29, 2023. A total of 337 participants were randomly assigned to 1 of the 2 study arms, of whom 169 received berberine and 168 received placebo. All participants completed the follow-up until August 9, 2024, and were included in the full analysis set (Figure 1). There were 54 participants and 68 participants who were excluded in the per-protocol set for assessment of VAT area and liver fat content, respectively (eTable 1 in Supplement 1). Of the randomized participants, the mean (SD) age was 41.8 (10.6) years, 116 (34.4%) were female, and 221 (65.6%) were male. The mean (SD) BMI was 31.8 (3.5), the mean (SD) waist circumference was 104.1 (10.2) cm, and the mean (SD) liver fat content was 17.5% (7.8%). Baseline characteristics of the participants included in the full analysis set and per-protocol set are shown in Table 1 and eTables 2 and 3 in Supplement 1, respectively.

Figure 1. Trial Flowchart.

Figure 1.

ALT indicates alanine aminotransferase; AST, aspartate aminotransferase; eGFR, estimated glomerular filtration rate; and ULN, upper limit of normal.

Table 1. Baseline Characteristics in the Full Analysis Set.

Variable Overall (N = 337) Placebo (n = 168) Berberine hydrochloride (n = 169)
Age, mean (SD), y 41.8 (10.6) 41.0 (10.4) 42.5 (10.7)
Sex, No. (%)
Female 116 (34.4) 57 (33.9) 59 (34.9)
Male 221 (65.6) 111 (66.1) 110 (65.1)
Employment, No. (%)
Unemployed 19 (5.6) 10 (6.0) 9 (5.3)
Employed 318 (94.4) 158 (94.1) 160 (94.7)
Education level, No. (%)
≤High school 74 (22.0) 41 (24.4) 33 (19.5)
≥College 263 (78.0) 127 (75.6) 136 (80.5)
Smoking, No. (%)
Never 220 (65.3) 110 (65.5) 110 (65.1)
Former 10 (3.0) 4 (2.4) 6 (3.6)
Current 107 (31.8) 54 (32.1) 53 (31.4)
Alcohol consumption, No. (%)
Never 156 (46.3) 74 (44.1) 82 (48.5)
Former 10 (3.0) 7 (4.2) 3 (1.8)
Current 171 (50.7) 87 (51.8) 84 (49.7)
Physical activity, median (IQR), MET min/wk 1386 (693-2772) 1386 (685-2772) 1386 (693-2772)
Waist circumference, mean (SD), cm 104.1 (10.2) 104.9 (9.9) 103.3 (10.4)
Body mass index, mean (SD)a 31.8 (3.5) 32.1 (3.6) 31.5 (3.3)
Systolic blood pressure, mean (SD), mm Hg 132.4 (13.2) 132.0 (13.1) 132.8 (13.3)
Diastolic blood pressure, mean (SD), mm Hg 86.9 (9.4) 86.6 (9.2) 87.3 (9.7)
eGFR, mean (SD), mL/min/1.73 m2 117.32 (10.98) 117.58 (9.90) 117.05 (11.98)
ALT, mean (SD), U/L 33.7 (22.9) 35.4 (25.4) 32.1 (20.1)
AST, mean (SD), U/L 24.8 (11.6) 25.6 (13.1) 24.0 (9.9)
Liver function, No. (%)b
Normal 229 (68.0) 117 (69.6) 112 (66.3)
Abnormal 108 (32.1) 51 (30.4) 57 (33.7)
FPG, mean (SD), mg/dL 94.68 (10.80) 95.04 (11.16) 94.32 (10.44)
2hPG, mean (SD), mg/dL 129.60 (33.30) 129.24 (33.84) 129.78 (32.94)
HbA1c, mean (SD), % 5.69 (0.45) 5.71 (0.44) 5.68 (0.45)
Prediabetic status, No. (%)c
No 208 (61.7) 104 (61.9) 104 (61.5)
Yes 129 (38.3) 64 (38.1) 65 (38.5)
LDL-C, mean (SD), mg/dL 115.44 (31.66) 117.76 (31.27) 113.13 (31.66)
TG, mean (SD), mg/dL 196.63 (133.74) 189.54 (131.97) 203.71 (135.51)
Serum uric acid, mean (SD), mg/dL 6.94 (1.75) 6.94 (1.69) 6.94 (1.80)
hs-CRP, mean (SD), mg/dL 0.23 (0.35) 0.24 (0.34) 0.22 (0.35)
VAT area, mean (SD), cm2 249.67 (75.94) 249.21 (73.27) 250.13 (78.71)
Liver fat content, mean (SD), % 17.5 (7.8) 18.1 (7.8) 17.0 (7.7)
Missing, No. (%) 15 (4.5) 6 (3.6) 9 (5.3)
Antihypertensive medication, No. (%)
No 295 (87.5) 146 (86.9) 149 (88.2)
Yes 42 (12.5) 22 (13.1) 20 (11.8)
Lipid-lowering medication, No. (%)
No 329 (97.6) 165 (98.2) 164 (97.0)
Yes 8 (2.4) 3 (1.8) 5 (3.0)

Abbreviations: 2hPG, 2-hour postprandial plasma glucose; ALT, alanine aminotransferase; AST, aspartate aminotransferase; eGFR, estimated glomerular filtration rate; FPG, fasting plasma glucose; HbA1c, hemoglobin A1c; hs-CRP, high-sensitivity C-reactive protein; LDL-C, low-density lipoprotein cholesterol; MET, metabolic equivalent; TG, triglyceride; VAT, visceral adipose tissue.

SI conversion factors: To convert ALT and AST to µkat/L, multiply by 0.0167; hs-CRP to mg/L, multiply by 10; LDL-C and TG to mmol/L, multiply by 0.0259 and 0.0113, respectively; FPG and 2hPG to mmol/L, multiply by 0.0555; HbA1c to proportion of total hemoglobin, multiply by 0.01; and uric acid to mmol/L, multiply by 0.0595.

a

Body mass index was calculated as weight in kilograms divided by height in meters squared.

b

Abnormal liver function was defined as ALT or AST exceeding 2 times the upper limit of normal.

c

Prediabetic status was defined as FPG between 109.8 and 126.0 mg/dL, inclusive, or 2hPG between 140.4 and 199.8 mg/dL, inclusive.

Mean (SD) medication adherence (defined as the percentage of medication consumed across all visits) was 90.5% (16.1%) (90.3% [14.7%] for berberine and 90.7% [17.4%] for placebo). Participant-level VAT area relative changes and liver fat content absolute changes are presented in the intention-to-treat set (Figure 2) and in the per-protocol set (eFigure 1 in Supplement 1). There were no significant differences in the relative percentage change in VAT area between arms (mean [SD] change in placebo arm, −2.0% [14.4%]; mean change in berberine arm, −0.6% [16.7%]; placebo-adjusted estimated treatment difference 1.38% [97.5% CI, −2.43% to 5.18%]; P = .42) (Table 2). There were no significant differences in the absolute change in liver fat content between arms (mean [SD] change in placebo arm, −1.1% [5.1%]; mean [SD] change in berberine arm, 0.1% [6.2%]; placebo-adjusted estimated treatment difference 0.87% [97.5% CI, −0.39% to 2.13%]; P = .12) (Table 2). The between-arm differences in the 2 primary outcomes were consistent across all prespecified subgroups (eFigure 2 in Supplement 1), and in sensitivity analyses, post hoc analyses, and per-protocol analysis (eTables 4-5 in Supplement 1). For secondary and exploratory outcomes, berberine was associated with larger reductions in LDL-C (−7.72 [95% CI, −13.13 to −1.93] mg/dL; P = .008) , apoB (−3.42 [95% CI, −6.33 to −0.51] mg/dL; P = .02; to convert to g/L, multiply by 0.01) and hs-CRP (−0.072 [95% CI, −0.140 to −0.004] mg/dL; P = .04) compared with placebo (eTable 6 in Supplement 1). Berberine did not have a significant effect on glycated hemoglobin A1c, fasting plasma glucose, 2-hour postprandial plasma glucose, homeostatic model assessment of insulin resistance,33 homeostatic model assessment of β cell function,33 homeostatic model assessment of insulin sensitivity, total cholesterol, high-density lipoprotein cholesterol, serum uric acid, blood pressure, body composition, fibrosis-4 index, NAFLD fibrosis score, and liver function (eTable 6 in Supplement 1). The occurrence of remission from prediabetic status to normal glucose status did not differ significantly between study arms among participants with prediabetes at baseline (prevalence in placebo arm 10 of 62 [16.1%], prevalence in berberine arm 14 of 64 [21.9%]; odds ratio, 1.46 [95% CI, 0.59-3.58]; P = .41).

Figure 2. Participant-Level Changes in Primary Outcomes in the Full Analysis Set.

Figure 2.

VAT indicates visceral adipose tissue.

Table 2. Comparison of Fat Distribution and Body Composition in the Full Analysis Set.

Outcomes Mean (SD) Difference of changes between groups (95% CI) P value
Placebo (n = 168) Berberine hydrochloride (n = 169)
Baseline 6 mo Change Baseline 6 mo Change
Primary outcomes
Liver fat content, % 17.9 (7.8)a 16.8 (7.0)a −1.1 (5.1) 16.9 (7.7)a 17.1 (7.2)a 0.1 (6.2) 0.87 (−0.39 to 2.13)b .12
VAT area, mean (SD), cm2 249.2 (73.3) 241.9 (73.8)a −2.0 (14.4) 250.1 (78.7) 246.8 (82.0)a −0.6 (16.7) 1.38 (−2.43 to 5.18)b .42
Body composition
Weight, kg 92.3 (15.8) 90.4 (16.3) −1.9 (3.6) 90.8 (15.7) 88.9 (16.0) −1.8 (3.7) 0.05 (−0.74 to 0.84) .90
Body mass indexc 32.1 (3.6) 31.4 (3.9) −0.7 (1.2) 31.5 (3.3) 30.9 (3.5) −0.6 (1.3) 0.02 (−0.26 to 0.29) .90
Waist circumference, cm 104.9 (9.9) 102.1 (10.6) −2.8 (5.9) 103.3 (10.4) 100.6 (10.9) −2.7 (5.2) −0.07 (−1.26 to 1.12) .91
Waist to height ratio 0.62 (0.05) 0.60 (0.06) −0.02 (0.04) 0.61 (0.05) 0.59 (0.06) −0.02 (0.03) 0.00 (−0.01 to 0.01) .78

Abbreviation: VAT, visceral adipose tissue.

a

Here shown as the imputed value.

b

Since a 2-sided P value < .025 was considered statistically significant for the primary outcome, we calculated the 97.5% CI of difference of changes between groups.

c

Body mass index was calculated as weight in kilograms divided by height in meters squared.

There were no significant between-arm differences in the frequency of serious adverse events overall, nonserious adverse events of interest, and treatment discontinuation (Table 3). Serious adverse events were reported in 6 participants (3.6%) in the berberine arm and 2 participants (1.2%) in the placebo arm. Nonserious adverse events of interest were reported in 17 participants (10.1%) in the berberine arm and 13 participants (7.7%) in the placebo arm. There were 5 participants (3.0%) who discontinued berberine and 6 participants (3.6%) who discontinued placebo.

Table 3. Summary of Safety Outcomes.

Safety outcome Events, No. (%) P value
Placebo (n = 168) Berberine hydrochloride (n = 169)
Serious adverse events 2 (1.2) 6 (3.6) .28
Nonserious adverse events of interest 13 (7.7) 17 (10.1) .57
Liver function impairment 0 1 (0.6) >.99
Renal function impairment 1 (0.6) 2 (1.2) >.99
Constipation 0 1 (0.6) >.99
Other gastrointestinal tract reactions 3 (1.8) 5 (3.0) .72
Hypoglycemia 9 (5.4) 8 (4.7) .81
Treatment discontinuation 6 (3.6) 5 (3.0) .75

In the post hoc analysis, we found significant interactions of berberine and baseline levels of hs-CRP with levels of total cholesterol , LDL-C, apoB, and hs-CRP as well as BMI, waist to height ratio, waist circumference, and body weight (eTable 7 in Supplement 1). Berberine treatment was associated with greater reduction in these parameters among participants with higher baseline hs-CRP level.

Discussion

In this multicenter, double-blind, placebo-controlled, randomized clinical trial, we first evaluated the efficacy and safety of berberine in reducing VAT and liver fat among diabetes-free individuals with obesity and MASLD. We found that berberine at a daily dose of 1 g over a 6-month intervention period did not lead to significant changes in VAT area and liver fat content compared with the placebo. The results were consistent across subgroups of age, sex, LDL-C level, prediabetic status, and liver function. Exploratory analyses showed that administration of berberine was associated with reduced LDL-C, apoB, and hs-CRP levels, with a consistent pattern of greater reductions in these levels in participants with higher baseline hs-CRP levels. Berberine was well tolerated with no excess risk of adverse events.

The study was distinguished by a randomized, placebo-controlled design and high compliance with study treatment and follow-up, which ensured a reliable testing of the primary hypothesis. The results of our study differed from 2 previous trials22,23 that enrolled patients with MASLD who had a higher baseline metabolic risk profile. A 3-arm trial22 including 184 patients with MASLD who had impaired glucose regulation or type 2 diabetes (62 in the berberine plus lifestyle intervention vs 62 in the lifestyle intervention alone) found that berberine at a daily dose of 1.5 g for 16 weeks reduced liver fat content. Another trial23 including 89 participants with metabolic dysfunction–associated steatohepatitis found treatment of berberine ursodeoxycholate (comparable dose of berberine component in our trial) for 18 weeks reduced liver fat content. Compared with our study population, the higher baseline glucose level and liver fat content in the 2 trials may have contributed to the different results. The discrepancy suggests that the efficacy of berberine for hepatic steatosis may be modulated by the underlying magnitude of metabolic dysfunction, such as the degree of insulin resistance or the severity of MASLD. Furthermore, it has been suggested that individuals with insulin resistance or type 2 diabetes may experience greater glucose lowering from berberine.36 While 1 previous study used a higher dose of berberine (1.5 g/d), evidence suggested that the dose of 1 g/d used in our study is effective in improving glycemic control in diabetes and lipid profile in dyslipidemia,13,36,37 which was also chosen to optimize safety and treatment compliance. Although our 6-month intervention was longer than most prior trials, studies of even longer duration are needed to rule out any potential delayed effects on fat redistribution.

Despite its neutral effect on adiposity in our study, berberine produced modest but significant reductions in key atherogenic lipids (LDL-C, apoB) and systemic inflammation (hs-CRP). These findings are promising for the prevention of cardiovascular diseases and extend prior evidence of the cardiometabolic benefits of berberine to diabetes-free individuals with obesity and MASLD, an understudied population with a metabolic high risk.28,38 The lipid-lowering effect aligns with the established mechanism of berberine to upregulate LDL receptor expression via the adenosine monophosphate kinase and extracellular regulated protein kinase pathways, an action distinct from statins.13 Additional mechanisms may involve PCSK9 inhibition and gut microbiota modulation.39,40 The reduction in apoB level is of clinical importance, as apoB is a superior marker of atherogenic particle burden and cardiovascular risk, especially in insulin-resistant states41,42; however, evidence for the effect of berberine on apoB is scarce. Furthermore, by employing a double-blind, randomized design, our study provides new evidence for the anti-inflammatory property of berberine, a relevant contribution given the increasingly recognized role of inflammation in the pathogenesis of cardiovascular disease.43 A notable finding from our post hoc analysis was that the hs-CRP level appeared to modify the treatment effects of berberine, with greater improvement in lipids, inflammation, and even anthropometric measures observed in individuals with elevated hs-CRP levels. This finding suggests a heterogeneous treatment response of berberine and positions hs-CRP as a potential biomarker for predicting which patients with obesity and MASLD are most likely to benefit from berberine therapy. Future studies should validate this interaction and explore the role of other inflammatory biomarkers in personalizing berberine therapy.

Limitations

Several limitations should be acknowledged. First, a small proportion (4.4%) of measurements for liver fat content were missing due to uninterpretable images. The consistent results from multiple imputations and per-protocol analysis suggested that the missing data were unlikely to influence the results. Second, the results of the secondary and exploratory analyses on LDL-C, apoB, and hs-CRP, as well as subgroup analysis of hs-CRP, are presented without formal adjustment for multiplicity and should not be used to infer definitive treatment effects due to potential false-positive risks.

Conclusions

In this randomized clinical trial of diabetes-free individuals with obesity and MASLD, a 6-month treatment of berberine, 1 g/d, showed an excellent safety profile but did not reduce VAT area or liver fat content. Exploratory findings suggested a potential role of berberine in lowering atherogenic lipid levels (LDL-C, apoB) and systemic inflammation (hs-CRP), with effects appearing more pronounced in individuals with higher baseline hs-CRP levels. These potential benefits warrant further investigation to define the role of berberine in cardiovascular risk reduction in this population.

Supplement 1.

eMethods 1. Details of the BRAVO Collaborative Group

eMethods 2. The details of inclusion and exclusion criteria

eMethods 3. The lifestyle intervention

eMethods 4. The study procedure

eMethods 5. The measurement of adipose tissue

eMethods 6. The definition of safety outcomes

eTable 1. Participants excluded in the per-protocol set stratified by outcomes

eTable 2. Baseline characteristics in the per-protocol set of liver fat content

eTable 3. Baseline characteristics in the per-protocol set of VAT area

eTable 4. Sensitivity analyses and post-hoc analyses of primary outcomes

eTable 5. Comparison of primary outcomes in the per-protocol set

eTable 6. Comparison of biomarkers of metabolism, inflammation and liver function in the full analysis set

eTable 7. Subgroup analysis for primary and other outcomes stratified by baseline high sensitivity C-reactive protein in the full analysis set

eFigure 1. Participant-level changes in primary outcomes in the per-protocol set

eFigure 2. Effect of berberine hydrochloride on primary outcomes by subgroups

Supplement 2.

Trial Protocol

Supplement 3.

The BRAVO Collaborative Group

Supplement 4.

Data Sharing Statement

References

  • 1.Collaborators GAB; GBD 2021 Adult BMI Collaborators . Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet. 2025;405(10481):813-838. doi: 10.1016/S0140-6736(25)00355-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Neeland IJ, Ross R, Després JP, et al. ; International Atherosclerosis Society; International Chair on Cardiometabolic Risk Working Group on Visceral Obesity . Visceral and ectopic fat, atherosclerosis, and cardiometabolic disease: a position statement. Lancet Diabetes Endocrinol. 2019;7(9):715-725. doi: 10.1016/S2213-8587(19)30084-1 [DOI] [PubMed] [Google Scholar]
  • 3.Després JP, Carpentier AC, Tchernof A, Neeland IJ, Poirier P. Management of obesity in cardiovascular practice: JACC Focus Seminar. J Am Coll Cardiol. 2021;78(5):513-531. doi: 10.1016/j.jacc.2021.05.035 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Mantovani A, Byrne CD, Bonora E, Targher G. Nonalcoholic fatty liver disease and risk of incident type 2 diabetes: a meta-analysis. Diabetes Care. 2018;41(2):372-382. doi: 10.2337/dc17-1902 [DOI] [PubMed] [Google Scholar]
  • 5.Mantovani A, Csermely A, Petracca G, et al. Non-alcoholic fatty liver disease and risk of fatal and non-fatal cardiovascular events: an updated systematic review and meta-analysis. Lancet Gastroenterol Hepatol. 2021;6(11):903-913. doi: 10.1016/S2468-1253(21)00308-3 [DOI] [PubMed] [Google Scholar]
  • 6.Neeland IJ, Marso SP, Ayers CR, et al. Effects of liraglutide on visceral and ectopic fat in adults with overweight and obesity at high cardiovascular risk: a randomised, double-blind, placebo-controlled, clinical trial. Lancet Diabetes Endocrinol. 2021;9(9):595-605. doi: 10.1016/S2213-8587(21)00179-0 [DOI] [PubMed] [Google Scholar]
  • 7.Gastaldelli A, Cusi K, Fernández Landó L, Bray R, Brouwers B, Rodríguez Á. Effect of tirzepatide versus insulin degludec on liver fat content and abdominal adipose tissue in people with type 2 diabetes (SURPASS-3 MRI): a substudy of the randomised, open-label, parallel-group, phase 3 SURPASS-3 trial. Lancet Diabetes Endocrinol. 2022;10(6):393-406. doi: 10.1016/S2213-8587(22)00070-5 [DOI] [PubMed] [Google Scholar]
  • 8.Aronne LJ, Sattar N, Horn DB, et al. ; SURMOUNT-4 Investigators . Continued treatment with tirzepatide for maintenance of weight reduction in adults with obesity: the SURMOUNT-4 randomized clinical trial. JAMA. 2024;331(1):38-48. doi: 10.1001/jama.2023.24945 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Wilding JPH, Batterham RL, Davies M, et al. ; STEP 1 Study Group . Weight regain and cardiometabolic effects after withdrawal of semaglutide: the STEP 1 trial extension. Diabetes Obes Metab. 2022;24(8):1553-1564. doi: 10.1111/dom.14725 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Jensen SBK, Blond MB, Sandsdal RM, et al. Healthy weight loss maintenance with exercise, GLP-1 receptor agonist, or both combined followed by one year without treatment: a post-treatment analysis of a randomised placebo-controlled trial. EClinicalMedicine. 2024;69:102475. doi: 10.1016/j.eclinm.2024.102475 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Sodhi M, Rezaeianzadeh R, Kezouh A, Etminan M. Risk of gastrointestinal adverse events associated with glucagon-like peptide-1 receptor agonists for weight loss. JAMA. 2023;330(18):1795-1797. doi: 10.1001/jama.2023.19574 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jastreboff AM, Aronne LJ, Ahmad NN, et al. ; SURMOUNT-1 Investigators . Tirzepatide once weekly for the treatment of obesity. N Engl J Med. 2022;387(3):205-216. doi: 10.1056/NEJMoa2206038 [DOI] [PubMed] [Google Scholar]
  • 13.Kong W, Wei J, Abidi P, et al. Berberine is a novel cholesterol-lowering drug working through a unique mechanism distinct from statins. Nat Med. 2004;10(12):1344-1351. doi: 10.1038/nm1135 [DOI] [PubMed] [Google Scholar]
  • 14.Kong WJ, Zhang H, Song DQ, et al. Berberine reduces insulin resistance through protein kinase C-dependent up-regulation of insulin receptor expression. Metabolism. 2009;58(1):109-119. doi: 10.1016/j.metabol.2008.08.013 [DOI] [PubMed] [Google Scholar]
  • 15.Yin J, Xing H, Ye J. Efficacy of berberine in patients with type 2 diabetes mellitus. Metabolism. 2008;57(5):712-717. doi: 10.1016/j.metabol.2008.01.013 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Chang W, Zhang M, Li J, et al. Berberine improves insulin resistance in cardiomyocytes via activation of 5′-adenosine monophosphate-activated protein kinase. Metabolism. 2013;62(8):1159-1167. doi: 10.1016/j.metabol.2013.02.007 [DOI] [PubMed] [Google Scholar]
  • 17.Yu M, Alimujiang M, Hu L, Liu F, Bao Y, Yin J. Berberine alleviates lipid metabolism disorders via inhibition of mitochondrial complex I in gut and liver. Int J Biol Sci. 2021;17(7):1693-1707. doi: 10.7150/ijbs.54604 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Zhu X, Bian H, Wang L, et al. Berberine attenuates nonalcoholic hepatic steatosis through the AMPK-SREBP-1c-SCD1 pathway. Free Radic Biol Med. 2019;141:192-204. doi: 10.1016/j.freeradbiomed.2019.06.019 [DOI] [PubMed] [Google Scholar]
  • 19.Kong WJ, Vernieri C, Foiani M, Jiang JD. Berberine in the treatment of metabolism-related chronic diseases: a drug cloud (dCloud) effect to target multifactorial disorders. Pharmacol Ther. 2020;209:107496. doi: 10.1016/j.pharmthera.2020.107496 [DOI] [PubMed] [Google Scholar]
  • 20.Wei W, Zeng Q, Wang Y, et al. Discovery and identification of EIF2AK2 as a direct key target of berberine for anti-inflammatory effects. Acta Pharm Sin B. 2023;13(5):2138-2151. doi: 10.1016/j.apsb.2022.12.009 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Nie Q, Li M, Huang C, et al. The clinical efficacy and safety of berberine in the treatment of non-alcoholic fatty liver disease: a meta-analysis and systematic review. J Transl Med. 2024;22(1):225. doi: 10.1186/s12967-024-05011-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Yan HM, Xia MF, Wang Y, et al. Efficacy of berberine in patients with non-alcoholic fatty liver disease. PLoS One. 2015;10(8):e0134172. doi: 10.1371/journal.pone.0134172 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Harrison SA, Gunn N, Neff GW, et al. A phase 2, proof of concept, randomised controlled trial of berberine ursodeoxycholate in patients with presumed non-alcoholic steatohepatitis and type 2 diabetes. Nat Commun. 2021;12(1):5503. doi: 10.1038/s41467-021-25701-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Zhou BF; Cooperative Meta-Analysis Group of the Working Group on Obesity in China . Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults—study on optimal cut-off points of body mass index and waist circumference in Chinese adults. Biomed Environ Sci. 2002;15(1):83-96. [PubMed] [Google Scholar]
  • 25.Craig CL, Marshall AL, Sjöström M, et al. International physical activity questionnaire: 12-country reliability and validity. Med Sci Sports Exerc. 2003;35(8):1381-1395. doi: 10.1249/01.MSS.0000078924.61453.FB [DOI] [PubMed] [Google Scholar]
  • 26.American College of Cardiology/American Heart Association Task Force on Practice Guidelines, Obesity Expert Panel, 2013 . Expert panel report: guidelines (2013) for the management of overweight and obesity in adults. Obesity (Silver Spring). 2014;22(suppl 2):S41-S410. [DOI] [PubMed] [Google Scholar]
  • 27.Cusi K, Isaacs S, Barb D, et al. American Association of Clinical Endocrinology clinical practice guideline for the diagnosis and management of nonalcoholic fatty liver disease in primary care and endocrinology clinical settings: co-sponsored by the American Association for the Study of Liver Diseases (AASLD). Endocr Pract. 2022;28(5):528-562. doi: 10.1016/j.eprac.2022.03.010 [DOI] [PubMed] [Google Scholar]
  • 28.Lei L, Li J, Wang B. Efficacy and safety profile of berberine treatment in improving risk factors for cardiovascular disease: a systematic review and meta-analysis of randomized, double-blind trials. Cardiol Discov. 2023;03(02):112-121. doi: 10.1097/CD9.0000000000000087 [DOI] [Google Scholar]
  • 29.An Y, Sun Z, Zhang Y, Liu B, Guan Y, Lu M. The use of berberine for women with polycystic ovary syndrome undergoing IVF treatment. Clin Endocrinol (Oxf). 2014;80(3):425-431. doi: 10.1111/cen.12294 [DOI] [PubMed] [Google Scholar]
  • 30.Wu XK, Wang YY, Liu JP, et al. ; Reproductive and Developmental Network in Chinese Medicine . Randomized controlled trial of letrozole, berberine, or a combination for infertility in the polycystic ovary syndrome. Fertil Steril. 2016;106(3):757-765.e1. doi: 10.1016/j.fertnstert.2016.05.022 [DOI] [PubMed] [Google Scholar]
  • 31.Gepner Y, Shelef I, Schwarzfuchs D, et al. Effect of distinct lifestyle interventions on mobilization of fat storage pools: CENTRAL magnetic resonance imaging randomized controlled trial. Circulation. 2018;137(11):1143-1157. doi: 10.1161/CIRCULATIONAHA.117.030501 [DOI] [PubMed] [Google Scholar]
  • 32.Guo Z, Blake GM, Li K, et al. Liver fat content measurement with quantitative CT validated against MRI proton density fat fraction: a prospective study of 400 healthy volunteers. Radiology. 2020;294(1):89-97. doi: 10.1148/radiol.2019190467 [DOI] [PubMed] [Google Scholar]
  • 33.Matthews DR, Hosker JP, Rudenski AS, Naylor BA, Treacher DF, Turner RC. Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man. Diabetologia. 1985;28(7):412-419. doi: 10.1007/BF00280883 [DOI] [PubMed] [Google Scholar]
  • 34.Vallet-Pichard A, Mallet V, Nalpas B, et al. FIB-4: an inexpensive and accurate marker of fibrosis in HCV infection: comparison with liver biopsy and fibrotest. Hepatology. 2007;46(1):32-36. doi: 10.1002/hep.21669 [DOI] [PubMed] [Google Scholar]
  • 35.Angulo P, Hui JM, Marchesini G, et al. The NAFLD fibrosis score: a noninvasive system that identifies liver fibrosis in patients with NAFLD. Hepatology. 2007;45(4):846-854. doi: 10.1002/hep.21496 [DOI] [PubMed] [Google Scholar]
  • 36.Zhang H, Wei J, Xue R, et al. Berberine lowers blood glucose in type 2 diabetes mellitus patients through increasing insulin receptor expression. Metabolism. 2010;59(2):285-292. doi: 10.1016/j.metabol.2009.07.029 [DOI] [PubMed] [Google Scholar]
  • 37.Zhang Y, Li X, Zou D, et al. Treatment of type 2 diabetes and dyslipidemia with the natural plant alkaloid berberine. J Clin Endocrinol Metab. 2008;93(7):2559-2565. doi: 10.1210/jc.2007-2404 [DOI] [PubMed] [Google Scholar]
  • 38.Lu Y, Zhang X, He J, et al. The effects of berberine on inflammatory markers in Chinese patients with metabolic syndrome and related disorders: a meta-analysis of randomized controlled trials. Inflammopharmacology. 2022;30(3):1063-1077. doi: 10.1007/s10787-022-00976-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Kim WS, Lee YS, Cha SH, et al. Berberine improves lipid dysregulation in obesity by controlling central and peripheral AMPK activity. Am J Physiol Endocrinol Metab. 2009;296(4):E812-E819. doi: 10.1152/ajpendo.90710.2008 [DOI] [PubMed] [Google Scholar]
  • 40.Habtemariam S. Berberine pharmacology and the gut microbiota: a hidden therapeutic link. Pharmacol Res. 2020;155:104722. doi: 10.1016/j.phrs.2020.104722 [DOI] [PubMed] [Google Scholar]
  • 41.De Oliveira-Gomes D, Joshi PH, Peterson ED, Rohatgi A, Khera A, Navar AM. Apolipoprotein B: bridging the gap between evidence and clinical practice. Circulation. 2024;150(1):62-79. doi: 10.1161/CIRCULATIONAHA.124.068885 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Behbodikhah J, Ahmed S, Elyasi A, et al. Apolipoprotein B and cardiovascular disease: biomarker and potential therapeutic target. Metabolites. 2021;11(10):690. doi: 10.3390/metabo11100690 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Mensah GA, Arnold N, Prabhu SD, Ridker PM, Welty FK. Inflammation and cardiovascular disease: 2025 ACC scientific statement: a report of the American College of Cardiology. J Am Coll Cardiol. Published online September 29, 2025. doi: 10.1016/j.jacc.2025.08.047 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplement 1.

eMethods 1. Details of the BRAVO Collaborative Group

eMethods 2. The details of inclusion and exclusion criteria

eMethods 3. The lifestyle intervention

eMethods 4. The study procedure

eMethods 5. The measurement of adipose tissue

eMethods 6. The definition of safety outcomes

eTable 1. Participants excluded in the per-protocol set stratified by outcomes

eTable 2. Baseline characteristics in the per-protocol set of liver fat content

eTable 3. Baseline characteristics in the per-protocol set of VAT area

eTable 4. Sensitivity analyses and post-hoc analyses of primary outcomes

eTable 5. Comparison of primary outcomes in the per-protocol set

eTable 6. Comparison of biomarkers of metabolism, inflammation and liver function in the full analysis set

eTable 7. Subgroup analysis for primary and other outcomes stratified by baseline high sensitivity C-reactive protein in the full analysis set

eFigure 1. Participant-level changes in primary outcomes in the per-protocol set

eFigure 2. Effect of berberine hydrochloride on primary outcomes by subgroups

Supplement 2.

Trial Protocol

Supplement 3.

The BRAVO Collaborative Group

Supplement 4.

Data Sharing Statement


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