Background: Alzheimer's disease (AD) is a progressive and chronic neurodegenerative disorder of the central nervous system, characterized by behavioral and dysexecutive deficits. Its pathogenesis is closely associated with the intestinal flora. This study aimed to explore the enterotypes in AD by identifying key bacteria through machine learning and species co-occurrence network analysis.
Methods: The collection of fecal samples from AD patients was followed by 16 S rRNA analysis using QIIME2. Enterotype clustering was conducted at the genus level, and deep neural network (DNN) classification models were developed for AD and healthy controls within each enterotype.
Results: Analysis of three 16 S rRNA gut microbiome datasets identified three distinct enterotypes: Escherichia_Shigella (ET-E), Faecalibacterium (ET-F), and Bacteroides (ET-B). The ET-E is mainly characterized by the absence of Akkermansia in AD group. The Akkermansia was significantly positively correlated with Eubacterium_coprostanoligenes_group and negatively correlated with biosynthesis and amino acid metabolism. The ET-F highly expressed Agathobacter, un_f__Lachnospiraceae, Lachnoclostridium, and low expressed Dorea in AD group. Among them, Agathobacter was significantly positively correlated with un_f__Lachnospiraceae, and un_f__Lachnospiraceae was significantly positively correlated with Lachnoclostridium. The Dorea was significantly negatively correlated with Lachnoclostridium. The AD from ET-B group had high expression of two beneficial bacteria, Butyricicoccus and Parabacteroides. The findings suggest that the ET-E enterotype may predispose individuals to AD, with Akkermansia identified as a potential risk factor. Conversely, the ET-B enterotype appears to be associated with milder symptoms, with Butyricicoccus and Parabacteroides potentially serving as protective factors. Therefore, a comprehensive understanding of the species characteristics and interactions within different enterotypes is essential for modulating the gut-brain axis and mitigating AD symptoms.
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http://dx.doi.org/10.1186/s12967-025-06343-3 | DOI Listing |
Cancer Med
March 2025
Institute of Microcirculation, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Background: Tumor metastasis is one of the main causes of death in cancer patients; however, the mechanism controlling metastasis is unclear. The posttranscriptional regulation of metastasis-related genes mediated by AT-rich interactive domain-containing protein 4A (Arid4a), an RNA-binding protein (RBP), has not been elucidated.
Methods: Bioinformatic analysis, qRT-PCR, immunohistochemistry, and immunoblotting were employed to determine the expression of Arid4a in breast tumor tissues and its association with the survival of cancer patients.
Background: this investigation aimed to assess the correlation between the triglyceride glucose (TyG) index and its related indicators, as well as the ratio of triglyceride to high-density lipoprotein cholesterol (TG/HDL-c), with hepatic steatosis and liver fibrosis among middle-aged and elderly participants.
Methods: based on data from the 2017-2020 National Health and Nutrition Examination Survey, the study included adults of ages 40 years and older in the United States. To explore the correlation between TyG and its related indicators, as well as TG/HDL-c with hepatic steatosis and liver fibrosis, multiple regression models were employed.
Background: The incidence of colorectal cancer (CRC) is rapidly increasing, and early detection plays a crucial role in improving the prognosis and survival rates of patients. This study aimed to assess the diagnostic ability of combined SDC2-KCNQ5-IKZF1 methylation levels in plasma for CRC detection.
Methods: A total of 92 patients were recruited from the Department of General Surgery at the Second Hospital of Hebei Medical University, including 56 CRC patients, 22 polyp and adenoma patients, and 14 healthy controls.
Background: Calcium (CA) is crucial for a wide range of biological functions. However, the correlation between total calcium and hyperuricemia in US adults remains unclear. This study aimed to assess whether total calcium is associated with hyperuricemia.
View Article and Find Full Text PDFBackground: Early diagnosis and intervention are essential for improving the prognosis and survival of gastric cancer (GC) patients. However, specific biomarkers for early GC diagnosis are still unavailable.
Methods: Data-independent acquisition (DIA) proteomics was employed to identify differentially expressed proteins (DEPs) between GC and adjacent non-tumor tissues.
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