Global trends and collaborative networks in gut microbiota-insulin resistance research: a comprehensive bibliometric analysis (2000-2024).

Background: The human gut microbiota plays a crucial role in maintaining metabolic health, with substantial evidence linking its composition to insulin resistance. This study aims to analyze the global scholarly contributions on the relationship between intestinal microbiota and insulin resistance from 2000 to 2024. Methods: A bibliometric analysis was conducted using data from Scopus and Web of Science Core Collection. The search strategy included terms related to "Gastrointestinal Microbiome" and "Insulin Resistance" in the title or abstract. Results: The analysis of 1,884 relevant studies from 510 sources was conducted, revealing a mean citation of 51.36 per manuscript and a remarkable annual growth rate of 22.08%. The findings highlight the significant role of gut microbiota in insulin resistance, corroborating prior studies that emphasize its influence on metabolic disorders. The literature review of the current study showed key mechanisms include the regulation of short-chain fatty acids (SCFAs) and gut hormones, which are critical for glucose metabolism and inflammation regulation. The analysis also identifies "Food and Function" as the most productive journal and Nieuwdorp M. as a leading author, underscoring the collaborative nature of this research area. Conclusion: The consistent increase in publications in the field of gut microbiota and insulin resistance indicates growing recognition of the gut microbiota's therapeutic potential in treating insulin resistance and related metabolic disorders. Future research should focus on standardizing methodologies and conducting large-scale clinical trials to fully realize these therapeutic possibilities.

General movement assessment efficacy for assessment of nervous system integrity in children after hypoxic-ischemic encephalopathy in middle income countries.

BACKGROUND: Many infants who survive hypoxic-ischemic encephalopathy (HIE) face long-term complications like epilepsy, cerebral palsy, and developmental delays. Detecting and forecasting developmental issues in high-risk infants is critical. AIM: This study aims to assess the effectiveness of standardized General Movements Assessment (GMA) and Hammersmith Infant Neurological Examinations (HINE) in identifying nervous system damage and predicting neurological outcomes in infants with HIE. DESIGN: Prospective. SUBJECTS AND MEASURES: We examined full-term newborns with perinatal asphyxia, classifying them as Grade 2 HIE according to Sarnat and Sarnat. The study included 31 infants, with 14 (45.2 %) receiving therapeutic hypothermia (Group 1) and 17 (54.8 %) not (Group 2). We evaluated general movements during writhing and fidgety phases and conducted neurological assessments using the HINE. RESULTS: All infants exhibited cramped-synchronized - like movements, leading to cerebral palsy (CP) diagnosis. Three children in Group 1 and four in Group 2 lacked fidgety movements. During active movements, HINE and GMA showed high sensitivity and specificity, reaching 96 % and 100 % for all children. The ROC curve's area under the curve (AUC) was 0.978. CONCLUSION: Our study affirms HINE and GMA as effective tools for predicting CP in HIE-affected children. GMA exhibits higher sensitivity and specificity during fidgety movements. However, study limitations include a small sample size and data from a single medical institution, necessitating further research.

General movements assessment: A bibliometric analysis.

This bibliometric analysis provides an in-depth exploration of the scholarly landscape in the field of Prechtl General Movement Assessment (GMA) research, spanning the period from 1961 to 2023. It offers valuable insights into the evolutionary trajectory and global impact of GMA. The study employs a longitudinal approach, meticulously tracking trends in scholarly output, international collaborations, and authorship patterns. Notably, our findings reveal a significant increase in GMA-related publications, highlighting the growing prominence of this field. The dominance of Australia and Austria in scholarly contributions underscores their pivotal roles. International collaborations are prominent, with active participation from European nations and the Americas. However, it is essential to acknowledge certain limitations, including potential data source biases and a reliance on English-language publications. This analysis serves as a valuable resource for stakeholders in the field, emphasizing the need for ongoing evaluation and collaborative efforts to enhance GMA applications and further our understanding of its clinical implications.

Selective screening for inborn errors of metabolism using tandem mass spectrometry in West Kazakhstan children: study protocol.

Data on the prevalence of most inborn errors of metabolism are still unavailable in Kazakhstan. The study aims to perform selective screening for hereditary metabolic diseases among patients aged from 1 day to 18 years in western Kazakhstan using the LC-MS/MS method, with establishing the reference values for the content of amino acids, acylcarnitines, and succinylacetone in blood samples of healthy children. Tasks: 1. To assess the burden of metabolic disorders detected by LC-MS/MS in western Kazakhstan by examination of children at clinical risk in pediatric clinics throughout the region; https://www.frontiersin.org/register?returnUrl=https://loop.frontiersin.org 2. To set the reference values of metabolites in the child population; 3. To analyze the age distribution, prevalence, and age of onset for each identified IEM, further comparing the obtained findings with those from previously published reports in other populations. METHODS: To set the reference values of 51 metabolites in the child population, 750 healthy children will be included. The selective screening will be performed among 1,500 patients aged 1 day to 18 years with suspected hereditary metabolic disorders. ANTICIPATED RESULTS: The results of selective screening will be interpreted by comparison with the reference values established. Diagnosis will be based on clinical signs, blood levels of amino acids, acylcarnitines, succinylacetone, and urine levels of organic acids and tests for gene mutations. An assessment of 37 inborn errors of metabolism frequencies in high-risk children will be performed. The research will further develop the national as selective as expanded newborn screening programs. The study was registered in clinicaltrials. gov (https://www. CLINICALTRIALS: gov/study/NCT05910151) on 16 June 2023.