Improving the accuracy and efficacy of diagnosing polycystic ovary syndrome by integrating metabolomics with clinical characteristics: study protocol for a randomized controlled trial

Exploring the Intersection of Artificial Intelligence and Clinical Healthcare: A Multidisciplinary Review

Artificial intelligence (AI) plays a more and more important role in our everyday life due to the advantages that it brings when used, such as 24/7 availability, a very low percentage of errors, ability to provide real time insights, or performing a fast analysis. AI is increasingly being used in clinical medical and dental healthcare analyses, with valuable applications, which include disease diagnosis, risk assessment, treatment planning, and drug discovery. This paper presents a narrative literature review of AI use in healthcare from a multi-disciplinary perspective, specifically in the cardiology, allergology, endocrinology, and dental fields. The paper highlights data from recent research and development efforts in AI for healthcare, as well as challenges and limitations associated with AI implementation, such as data privacy and security considerations, along with ethical and legal concerns. The regulation of responsible design, development, and use of AI in healthcare is still in early stages due to the rapid evolution of the field. However, it is our duty to carefully consider the ethical implications of implementing AI and to respond appropriately. With the potential to reshape healthcare delivery and enhance patient outcomes, AI systems continue to reveal their capabilities.

Efficacy of Bushen Huatan Decoction combined with Baduanjin in the treatment of polycystic ovary syndrome with insulin resistance (IR-PCOS), kidney deficiency and phlegm dampness: study protocol for a randomized controlled trial

Background

Polycystic ovary syndrome (PCOS) is a common reproductive endocrine disease in women. Insulin resistance (IR) has emerged as a central contributor to the pathogenesis of this disease. According to traditional Chinese medicine (TCM), kidney deficiency is the main syndrome of PCOS. The deficiency of the kidney cannot vaporize water-dampness, and the retention of water-dampness accumulates into phlegm dampness stagnation, resulting in visceral dysfunction and metabolic disorder. TCM involving syndrome differentiation and treatment is widely used to adjust women’s menstrual cycles. Our patented formula Bushen Huatan Decoction (BSHTD) has been proven to be effective in the clinical treatment of IR-PCOS. Baduanjin also plays an important role in improving metabolic syndrome through lifestyle intervention. This study investigates the clinical efficacy of Bushen Huatan Decoction combined with Baduanjin in IR-PCOS, to form a specific TCM-behaviour intervention plan in the treatment of IR-PCOS.

Methods/design

This is a randomized controlled trial involving 190 participants diagnosed with IR-PCOS. All participants will be randomly allocated into 5 groups: group A will receive metformin; group B, BSHTD; group C, Baduanjin; group D, BSHTD combined with metformin; and group E, BSHTD combined with Baduanjin. One course of treatment lasts 3 months, a total of two courses. The primary outcomes are changes in the homeostatic model assessment of insulin resistance (HOMA-IR) and improvements in the oral glucose tolerance test (OGTT) and insulin-releasing test (INS). The secondary outcomes are improvements in the menstrual cycle, ovulation rate, clinical pregnancy rate, basic serum sex hormone levels, free androgen index (FAI), Ferriman-Gallwey scores, body mass index (BMI) and TCM syndrome scores. The related observation indexes will be collected at baseline, during the process of treatment and at the 6-month follow-up. Simultaneously, close monitoring of possible adverse events will be performed throughout the trial process.

Discussion

This trial will investigate the efficacy of the comprehensive intervention program of Bushen Huatan Decoction combined with Baduanjin on the adjustment of the menstrual cycle, improvement of insulin resistance and correction of glucose metabolism disorder in IR-PCOS patients. It is expected to form an alternative treatment of TCM-behaviour intervention therapy for IR-PCOS and promote the Chinese fitness Qigong Baduanjin in the application of lifestyle diseases.

Trial registration

Chinese Clinical Trial Registry ChiCTR2100043415. Registered on 15 February 2021.

Supplementary Information

The online version contains supplementary material available at 10.1186/s13063-021-05770-z.

Prediction of Gut Microbial Community Structure and Function in Polycystic Ovary Syndrome With High Low-Density Lipoprotein Cholesterol

Gut microbiota has been proved to be involved in the occurrence and development of many diseases, such as type 2 diabetes, obesity, coronary heart disease, etcetera. It provides a new idea for the pathogenesis of polycystic ovary syndrome (PCOS). Our study showed that the gut microbial community of PCOS with high low-density lipoprotein cholesterol (LDLC) has a noticeable imbalance. Gut microbiota of PCOS patients was significantly changed compared with CON, and these changes were closely related to LDLC. Gut microbiota may affect the metabolic level of PCOS patients through multiple metabolic pathways, and lipid metabolism disorder may further aggravate the imbalance of gut microbiota. Actinomycetaceae, Enterobacteriaceae and Streptococcaceae had high accuracy in the diagnosis of PCOS and the differentiation of subgroups, suggesting that they may play an important role in the diagnosis and treatment of PCOS in the future. Also, the model we built showed good specificity and sensitivity for distinguishing PCOS from CON (including L_CON and L_PCOS, H_CON and H_PCOS). In conclusion, this is the first report on the gut microbiota of PCOS with high LDLC, suggesting that in the drug development or treatment of PCOS patients, the difference of gut microbiota in PCOS patients with different LDLC levels should be fully considered.

Metabolomic Biomarkers in Gestational Diabetes Mellitus: A Review of the Evidence

Gestational diabetes mellitus (GDM) is the fastest growing type of diabetes, affecting between 2 to 38% of pregnancies worldwide, varying considerably depending on diagnostic criteria used and sample population studied. Adverse obstetric outcomes include an increased risk of macrosomia, and higher rates of stillbirth, instrumental delivery, and birth trauma. Metabolomics, which is a platform used to analyse and characterise a large number of metabolites, is increasingly used to explore the pathophysiology of cardiometabolic conditions such as GDM. This review aims to summarise metabolomics studies in GDM (from inception to January 2021) in order to highlight prospective biomarkers for diagnosis, and to better understand the dysfunctional metabolic pathways underlying the condition. We found that the most commonly deranged pathways in GDM include amino acids (glutathione, alanine, valine, and serine), carbohydrates (2-hydroxybutyrate and 1,5-anhydroglucitol), and lipids (phosphatidylcholines and lysophosphatidylcholines). We also highlight the possibility of using certain metabolites as predictive markers for developing GDM, with the use of highly stratified modelling techniques. Limitations for metabolomic research are evaluated, and future directions for the field are suggested to aid in the integration of these findings into clinical practice.

Metabolomic Biomarkers in Polycystic Ovary Syndrome: A Review of the Evidence

Polycystic ovary syndrome (PCOS) is an endocrinologic condition affecting one in five women of reproductive age. PCOS is often characterized by disruptions to the menstrual cycle, development of male-pattern hair growth (hirsutism), and polycystic ovary morphology. Recently, PCOS has been linked to metabolic dysfunction, with 40 to 80% of women characterized as overweight or obese. Despite these well-known negative health effects of PCOS, 75% of sufferers remain undiagnosed. This is most likely due to the variability in symptom presentation and the lack of a definitive test for the condition. Metabolomics, which is a platform used to analyze and characterize a large number of metabolites, has recently been proposed as a potential tool for investigating the metabolic pathways that could be involved in the pathophysiology of PCOS. In doing so, novel biomarkers could be identified to improve diagnosis and treatment of PCOS. This review aims to summarize the findings of recent metabolomic studies that highlight metabolic-specific molecules which are deranged in PCOS, to identify potential biomarkers for the condition. Current limitations for metabolomic studies are discussed, as well as future directions to progress the field toward further validation and integration into clinical practice.