Department of Biological Sciences, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Centre of Excellence in BioNanoscience Research, King Abdulaziz University, Jeddah 21589, Saudi Arabia.
Int J Mol Sci. 2024 Aug 6;25(16):8570. doi: 10.3390/ijms25168570.
The Middle Eastern prevalence of sickle cell anemia, a genetic disorder that affects red blood cells, necessitates additional research. On a molecular level, we sought to identify and sort the oral microbiota of healthy individuals and those with sickle cell anemia. Furthermore, it is crucial to comprehend how changes in the genetic makeup of the oral microbiota impact the state of sickle cell anemia. Using next-generation sequencing, the 16S rRNA amplicon was examined using saliva samples from 36 individuals with sickle cell anemia and healthy individuals. These samples were obtained from sickle cell anemia patients (18 samples) and healthy control participants (controls, 18 samples). Various analyses are conducted using bioinformatic techniques to identify distinct species and their relative abundance. , followed by , , and were the most prevalent genera of bacteria in the saliva of the SCA and non-SCA individuals according to our findings. , , and species were the dominant species in both sickle cell anemia and non-sickle cell anemia subjects. , , , and spp. were the most prevalent bacterial spp. in the studied SCA cases. The sequencing of the 16S rRNA gene yielded relative abundance values that were visualized through a heatmap analysis. Alterations in the oral microflora's constitution can significantly affect the susceptibility of sickle cell anemia patients to develop more severe health complications. Salivary diagnosis is a potential tool for predicting and preventing oral microbiome-related diseases in the future.
中东地区镰状细胞贫血症的流行率较高，这种遗传性疾病会影响红细胞，因此需要进行更多的研究。在分子水平上，我们试图确定并分类健康个体和镰状细胞贫血症患者的口腔微生物群。此外，了解口腔微生物群遗传组成的变化如何影响镰状细胞贫血症的状态至关重要。我们使用下一代测序技术，对来自 36 名镰状细胞贫血症患者和健康个体的唾液样本进行了 16S rRNA 扩增子分析。这些样本来自镰状细胞贫血症患者（18 个样本）和健康对照参与者（对照组，18 个样本）。我们使用生物信息学技术进行了各种分析，以确定不同的物种及其相对丰度。根据我们的发现，在 SCA 和非 SCA 个体的唾液中，最常见的细菌属为 、 、 和 。在镰状细胞贫血症和非镰状细胞贫血症患者中，优势物种为 、 、 和 。在研究的 SCA 病例中，最常见的细菌 spp.为 、 、 、 和 。16S rRNA 基因测序产生了相对丰度值，通过热图分析进行可视化。口腔微生物群组成的改变可能会显著影响镰状细胞贫血症患者发生更严重健康并发症的易感性。唾液诊断是未来预测和预防与口腔微生物组相关疾病的潜在工具。
