Predictive association of gut microbiome and NLR in anemic low middle-income population of Odisha- a cross-sectional study

Background Iron is abundant on earth but not readily available for colonizing bacteria due to its low solubility in the human body. Hosts and microbiota compete fiercely iron. <15% Supplemented absorbed small bowel, remaining iron a source of dysbiosis. The gut microbiome signatures level predicting anemia among low-middle-income populations are unknown. present study was conducted identify that have predictive potential association with Neutrophil lymphocytes ratio (NLR) Mean corpuscular volume (MCV) anemia. Methods One hundred four participants between 10 70 years were recruited from Odisha’s Low Middle-Income (LMI) rural population. Hematological parameters such as Hemoglobin (HGB), NLR, MCV measured, NLR categorized using percentiles. analyzed 61 anemic 43 non-anemic 16 s rRNA sequencing, followed by Bioinformatics analysis performed diversity, correlations, indicator species. Multi-Layered Perceptron Neural Network (MLPNN) model applied predict Results Significant diversity observed lower, middle, upper Quartile groups. For lower quartile, alpha indices indicated bacterial overgrowth, consistently, we identified R. faecis B. uniformis predominating. Using ROC analysis, had better distinction (AUC = 0.803) NLR. In contrast, E. biforme H. parainfluenzae indicators middle respectively. While Non-anemic MCV, alteration inversely related gender. Furthermore, our models also provided 89% accuracy Anemic or Non-Anemic top 20 OTUs, HGB level, Conclusion These findings strongly associate hematological microbiome. Such could be further evaluated utilized design precision nutrition supplementation dietary intervention responses both community clinical settings.