Efficacy of Myo-inositol on Anthropometric, Metabolic, and Endocrine Outcomes in PCOS Patients: a Meta-analysis of Randomized Controlled Trial

Inositol for Polycystic Ovary Syndrome: A Systematic Review and Meta-analysis to Inform the 2023 Update of the International Evidence-based PCOS Guidelines

CONTEXT

Insulin resistance is common in women with polycystic ovary syndrome (PCOS). Inositol may have insulin sensitizing effects; however, its efficacy in the management of PCOS remains indeterminate.

OBJECTIVE

To inform the 2023 international evidence-based guidelines in PCOS, this systematic review and meta-analysis evaluated the efficacy of inositol, alone or in combination with other therapies, in the management of PCOS.

DATA SOURCES

Medline, PsycInfo, EMBASE, All EBM, and CINAHL from inception until August 2022.

STUDY SELECTION

Thirty trials (n = 2230; 1093 intervention, 1137 control), with 19 pooled in meta-analyses were included.

DATA EXTRACTION

Data were extracted for hormonal, metabolic, lipids, psychological, anthropometric, reproductive outcomes, and adverse effects by 1 reviewer, independently verified by a second.

DATA SYNTHESIS

Thirteen comparisons were assessed, with 3 in meta-analyses. Evidence suggests benefits for myo-inositol or D-chiro-inositol (DCI) for some metabolic measures and potential benefits from DCI for ovulation, but inositol may have no effect on other outcomes. Metformin may improve waist-hip ratio and hirsutism compared to inositol, but there is likely no difference for reproductive outcomes, and the evidence is very uncertain for body mass indexI. Myo-inositol likely causes fewer gastrointestinal adverse events compared with metformin; however, these are typically mild and self-limited.

CONCLUSION

The evidence supporting the use of inositol in the management of PCOS is limited and inconclusive. Clinicians and their patients should consider the uncertainty of the evidence together with individual values and preferences when engaging in shared decision-making regarding the use of inositol for PCOS.

Inositols in treating polycystic ovary syndrome and non-insulin dependent diabetes mellitus: now and the future

INTRODUCTION

This Expert Opinion covers recent updates in the use of Inositol in polycystic ovary syndrome (PCOS) and type II diabetes and gives support to researchers and clinicians.

AREAS COVERED

This article discusses the role of Myo-Inositol (MI) and D-Chiro-Inositol (DCI) in physiological function, the use of MI in PCOS, the risks of using DCI in reproductive conditions, the 40:1 combination of MI/DCI in PCOS. Furthermore, we discuss the issues of insulin resistance and how α-lactalbumin may increase the intestinal bioavailability of MI. The paper then transitions to talk about the use of inositols in diabetes, including type II diabetes, Gestational Diabetes Mellitus (GDM), and double diabetes. Literature searches were performed with the use of PubMed, Google Scholar, and Web of Science between July and October 2023.

EXPERT OPINION

Inositol therapy has grown in the clinical field of PCOS, with it demonstrating an efficacy like that of metformin. The use of α-lactalbumin has further supported the use of MI, as issues with intestinal bioavailability have been largely overcome. In contrast, the effect of inositol treatment on the different PCOS phenotypes remains an outstanding question. The use of inositols in type II diabetes requires further study despite promising analogous data from GDM.

Effects of myo-inositol vs. metformin on hormonal and metabolic parameters in women with PCOS: a meta-analysis

OBJECTIVE

Polycystic Ovary Syndrome is the most prevalent hormonal disorder in females. Over the years, metformin (MET) has become the first-line choice of treatment; however, due to its gastrointestinal side effects, a more recent drug, myo-inositol (MI), has been introduced. We aim to conduct a systematic review and meta-analysis to compare the effects of MET and MI on hormonal and metabolic parameters.

MATERIALS AND METHODS

Authors extensively searched PubMed, Scopus, Cochrane Library, Google Scholar, and Web of Science for randomized clinical trials (RCTs) until August 2021. Eight (n = 8) articles were included, with a total sample size of 1088, of which 460 patients received MET, 436 received MI, and 192 received a combination of both. Standard mean differences (SMDs) and Confidence Intervals (CIs) were used for data synthesis, and forest plots were made using Review Manager 5.4 for Statistical Analysis using the random-effect model.

RESULTS

The meta-analysis indicates that there is no significant difference between MET and MI in terms of their effects on BMI (SMD = 0.16, 95% CI: - 0.11 to 0.43, p = 0.24), fasting insulin (SMD = 0.00, 95% CI: - 0.26 to 0.27, p = 0.97), fasting blood sugar (SMD = 0.11, 95% CI: - 0.31to 0.53, p = 0.60), HOMA index (SMD = 0.09, 95% CI: - 0.20 to 0.39, p = 0.50), and LH/FSH (SMD = 0.20, 95% CI: - 0.24 to 0.64, p = 0.37). BMI, fasting blood sugar, and LH/FSH ratio reported moderate heterogeneity because of the varying number of study participants.

CONCLUSION

Our meta-analysis comparing hormonal and metabolic parameters between MET and MI did not show much significant difference, indicating both drugs are equally beneficial in improving metabolic and hormonal parameters in patients with PCOS.

A Literature Review and a Proposed Classification of the Relationships between Ovulatory Infertility and Lifestyle Factors Based on the Three Groups of Ovulation Disorders Classified by WHO

Ovulatory infertility is a serious clinical problem whose direct causes are still largely unknown. In addition to pathologies that make it impossible for a couple to establish a pregnancy, there are a number of other factors that have a bearing on fertility, including lifestyle factors, and particularly diet. Although numerous studies have been performed linking such factors to ovulatory infertility, most of them lack the necessary clinical significance, instead focusing on observational data and suggesting or establishing associative relationships. This article consists of a literature review focusing on connections between lifestyle factors such as diet, physical exercise, oxidative stress, sleep, and supplementation, and ovulatory infertility. Special emphasis was given to issues such as obesity and insulin resistance and their mutual relationship with other factors linked to ovulatory infertility. In addition, based on the conclusions of the literature review, the authors have proposed a classification of relationships between ovulation disorders and lifestyle factors in ovulatory infertility within the framework of the WHO classification of ovulation disorders. Furthermore, areas that merit further research have been indicated as well as those that do not. WHO Group II disorders gained prominence in the results of the study as the number of links with lifestyle factors and ovulatory infertility found in the course of the review greatly exceeded those for Groups I and III. The data presented in the article show that the issues of proper diet and physical exercise are those that could benefit from robust clinical studies focused specifically on ovulation infertility, while studies concerning the relationship between oxidative stress, sleep, and supplementation and ovulatory infertility do not seem to be promising directions as far as clinical significance is concerned.