The effect of postbiotics supplementation on obesity and metabolic health: a systematic review and meta-analysis of randomized control trials – Nutrition & Metabolism

Nov 13, 2025 - 04:30
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The effect of postbiotics supplementation on obesity and metabolic health: a systematic review and meta-analysis of randomized control trials – Nutrition & Metabolism

 

Report on the Metabolic Health Effects of Postbiotic Supplementation and Implications for Sustainable Development Goals

Introduction: Aligning Nutritional Science with Global Health Targets

This report summarizes the findings of a comprehensive meta-analysis evaluating the efficacy of postbiotic supplementation on metabolic health. The analysis assesses outcomes critical to combating the global rise of non-communicable diseases (NCDs), such as metabolic syndrome, obesity, and cardiovascular conditions. These findings are framed within the context of the United Nations Sustainable Development Goals (SDGs), particularly SDG 3: Good Health and Well-being, which targets a one-third reduction in premature mortality from NCDs by 2030.

Analysis of Metabolic Health Outcomes in Relation to SDG 3

The meta-analysis revealed significant improvements in several key metabolic parameters, highlighting the potential of postbiotics as a nutritional strategy to support public health objectives and advance SDG 3.

Glycemic Control and Insulin Sensitivity

A primary finding was a statistically significant reduction in serum insulin levels following postbiotic supplementation. This outcome is directly relevant to improving insulin sensitivity, a crucial factor in the prevention and management of type 2 diabetes, a major NCD targeted under SDG 3.

  • Key Finding: Significant decrease in serum insulin, suggesting enhanced insulin sensitivity.
  • SDG Relevance: Contributes to the prevention of insulin resistance and type 2 diabetes, supporting SDG Target 3.4 on NCDs.
  • Influencing Factors: The analysis indicated that the insulin-lowering effects were more pronounced in interventions lasting longer than eight weeks and when using bacterial-based postbiotics, pointing toward duration- and formulation-dependent efficacy.
  • Mechanisms: The effects are likely mediated by short-chain fatty acids (SCFAs) which improve glucose uptake and reduce systemic inflammation.

Anthropometric Measures and Central Obesity

The study identified a significant reduction in waist circumference (WC), a key indicator of visceral adiposity, which is strongly linked to metabolic syndrome. While overall body weight and BMI were not significantly affected, the targeted reduction in central obesity is a clinically relevant achievement in the fight against metabolic disease.

  • Key Finding: Statistically significant reduction in waist circumference.
  • SDG Relevance: Addresses central obesity, a primary risk factor for a range of NCDs. This aligns with global efforts under SDG 3 to promote health and combat the drivers of chronic disease.
  • Subgroup Analysis: The reduction in WC was more pronounced in individuals under 50 years of age, suggesting that younger populations may exhibit greater metabolic responsiveness to postbiotic interventions.

Lipid Profiles and Cardiovascular Risk

Postbiotic supplementation led to a significant reduction in triglyceride (TG) levels. As elevated TGs are an independent risk factor for cardiovascular disease, this finding underscores the potential of postbiotics in mitigating cardiovascular risk.

  • Key Finding: Significant decrease in triglyceride levels. Other lipid markers like LDL-C and HDL-C showed no significant change.
  • SDG Relevance: By lowering a key cardiovascular risk factor, postbiotics can contribute to strategies aimed at reducing premature mortality from cardiovascular diseases, a core component of SDG Target 3.4.
  • Mechanisms: The reduction in TGs is attributed to the ability of SCFAs to inhibit hepatic lipogenesis and enhance lipid oxidation through pathways involving AMPK and PPAR-α.

Inflammatory Markers and Systemic Health

A notable outcome was the significant reduction in C-reactive protein (CRP), a sensitive marker of systemic inflammation and an independent predictor of cardiovascular risk. This highlights the anti-inflammatory potential of postbiotics.

  • Key Finding: Significant reduction in CRP levels.
  • SDG Relevance: Managing chronic, low-grade inflammation is fundamental to preventing a wide array of NCDs. This anti-inflammatory effect directly supports the broader objective of SDG 3 to ensure healthy lives and promote well-being for all.
  • Formulation-Specific Effects: Subgroup analysis revealed that bacterial-based postbiotics also led to a meaningful reduction in IL-6, suggesting that specific formulations can yield targeted anti-inflammatory benefits.

Methodological Considerations and Future Directions for Sustainable Health Solutions

While this meta-analysis provides robust evidence, certain limitations must be considered to guide future research toward developing scalable and sustainable health interventions.

  1. Heterogeneity of Interventions: Significant variability existed in postbiotic formulations, dosages, and compositional details, making direct comparisons challenging.
  2. Duration and Sample Size: Many included trials were of short duration (≤ 8 weeks) and had small sample sizes, which may have been insufficient to detect changes in long-term markers like HbA1c.
  3. Lack of Mechanistic Data: Few studies assessed changes in gut microbiota composition, limiting insights into the underlying mechanisms of action.
  4. Population and Confounders: Many trials enrolled relatively healthy individuals, and dietary or lifestyle confounders were not consistently controlled.

Conclusion and Recommendations

Postbiotic supplementation demonstrates modest but clinically relevant benefits for metabolic health, particularly in improving insulin levels, triglycerides, waist circumference, and CRP. These improvements directly align with the goals of SDG 3 (Good Health and Well-being) by addressing key risk factors for NCDs. To translate these findings into effective public health strategies, future research must prioritize:

  • Standardized postbiotic formulations and dosages.
  • Longer-term randomized controlled trials in diverse populations with metabolic conditions.
  • Inclusion of microbiome and metabolomic analyses to elucidate mechanisms.
  • Investigation into specific conditions such as Non-Alcoholic Fatty Liver Disease (NAFLD).

By addressing these gaps, the scientific community can build a stronger evidence base for using postbiotics as a safe, effective, and sustainable tool to improve global health outcomes.

Analysis of Sustainable Development Goals (SDGs) in the Article

1. Which SDGs are addressed or connected to the issues highlighted in the article?

  • SDG 3: Good Health and Well-being

    This is the primary SDG addressed. The article is a meta-analysis focused on evaluating the effects of postbiotic supplementation on “various metabolic health outcomes.” It directly discusses risk factors for non-communicable diseases (NCDs), such as poor glycemic control (insulin levels), visceral adiposity (waist circumference), dyslipidemia (triglycerides), systemic inflammation (CRP levels), and blood pressure. The entire study is centered on improving human health and preventing diseases linked to metabolic syndrome, which is a core component of promoting well-being.

  • SDG 2: Zero Hunger

    While the article does not discuss hunger, it is relevant to SDG 2’s broader goal of ending all forms of malnutrition. The article’s focus on managing anthropometric outcomes like Body Mass Index (BMI) and Waist Circumference (WC) directly relates to addressing overweight and obesity, which are considered forms of malnutrition. The investigation into a nutritional intervention (postbiotics) to improve metabolic health aligns with the goal of ensuring proper nutrition for all populations to prevent diet-related health issues.

2. What specific targets under those SDGs can be identified based on the article’s content?

  • Target 3.4: By 2030, reduce by one third premature mortality from non-communicable diseases through prevention and treatment and promote mental health and well-being.

    The article’s entire premise supports this target. It investigates a potential preventative and therapeutic intervention (postbiotics) for metabolic dysregulation, which is a major driver of NCDs like cardiovascular disease and type 2 diabetes. The text explicitly mentions that a reduction in Waist Circumference (WC) is clinically relevant because “visceral adiposity is more strongly linked with metabolic syndrome and cardiovascular risk.” Similarly, it notes that C-reactive protein (CRP), which was significantly reduced by postbiotics, is an “independent predictor of cardiovascular risk.” By studying ways to improve these health markers, the research contributes directly to the prevention of NCDs.

  • Target 2.2: By 2030, end all forms of malnutrition…

    The article connects to this target by addressing the health consequences of overnutrition and obesity. The study analyzes anthropometric measures such as BMI and WC to assess the impact of postbiotics on body composition. The finding of a “statistically significant reduction… in WC” is a direct measure of addressing central obesity, a critical aspect of malnutrition in many parts of the world. The research explores a nutritional strategy to manage a specific form of malnutrition (obesity) and its metabolic consequences.

3. Are there any indicators mentioned or implied in the article that can be used to measure progress towards the identified targets?

Yes, the article is rich with specific clinical and biological indicators used to measure metabolic health, which serve as proxy indicators for progress towards reducing the burden of NCDs (Target 3.4) and addressing malnutrition (Target 2.2).

  • Glycemic Control Indicators:

    The article measures “serum insulin levels,” Fasting Blood Glucose (FBG), HbA1c, and HOMA-IR. The finding of a “statistically significant reduction in serum insulin levels” is a direct indicator of improved insulin sensitivity, which is crucial for preventing or managing type 2 diabetes, a major NCD.

  • Anthropometric Indicators:

    Body Mass Index (BMI) and Waist Circumference (WC) are used. The article states that WC is a “specific indicator of visceral adiposity.” The significant reduction in WC is an indicator of progress in managing central obesity, a key risk factor for NCDs and a form of malnutrition.

  • Lipid Profile Indicators:

    The study measures Triglycerides (TG), LDL-C, HDL-C, and Total Cholesterol (TC). The “significant reduction in TG levels” is a key indicator of improved cardiovascular health, as high triglycerides are a known risk factor for heart disease.

  • Inflammatory Markers:

    C-reactive protein (CRP) and Interleukin-6 (IL-6) are measured. The article highlights a “significant reduction in CRP levels,” which it identifies as a “sensitive systemic marker of inflammation and an independent predictor of cardiovascular risk.” This makes CRP a powerful indicator for monitoring progress in NCD prevention.

  • Blood Pressure Indicators:

    Systolic and diastolic blood pressure are assessed. Although no significant changes were found in the meta-analysis, these remain standard and critical indicators for monitoring cardiovascular health and hypertension, which are central to Target 3.4.

4. Table of SDGs, Targets, and Indicators

SDGs Targets Indicators
SDG 3: Good Health and Well-being Target 3.4: Reduce premature mortality from non-communicable diseases (NCDs) through prevention and treatment. Glycemic Control:
  • Serum insulin levels
  • Fasting Blood Glucose (FBG)
  • HbA1c
  • HOMA-IR
Cardiovascular and Metabolic Risk:
  • Waist Circumference (WC)
  • Triglycerides (TG)
  • C-reactive protein (CRP)
  • Interleukin-6 (IL-6)
  • Systolic and Diastolic Blood Pressure
  • LDL-C, HDL-C, Total Cholesterol (TC)
SDG 2: Zero Hunger Target 2.2: End all forms of malnutrition. Anthropometric Measures (for overweight/obesity):
  • Body Mass Index (BMI)
  • Waist Circumference (WC)

Source: nutritionandmetabolism.biomedcentral.com

 

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