Obesity associated with a Western diet such as a high-fat diet (HFD) is a known risk factor for inflammatory bowel disease (IBD) and colorectal cancer (CRC). In this study, we aimed to develop fecal microbiome data-based deep learning algorithms for the risk assessment of colorectal diseases. The effects of a HFD and a candidate food (Nypa fruticans, NF) on IBD and CRC risk reduction were also evaluated. Fecal microbiome data were obtained from 109 IBD patients, 111 CRC patients, and 395 healthy control (HC) subjects by 16S rDNA amplicon sequencing. IBD and CRC risk assessment prediction models were then constructed by deep learning algorithms. Dietary effects were evaluated based on fecal microbiome data from rats fed on a regular chow diet (RCD), HFD, and HFD plus ethanol extracts or water extracts of NF. There were significant differences in taxa when IBD and CRC were compared with HC. The diagnostic performance (area under curve, AUC) of the deep learning algorithm was 0.84 for IBD and 0.80 for CRC prediction. Based on the rat fecal microbiome data, IBD and CRC risks were increased in HFD-fed rats versus RCD-fed rats. Interestingly, in the HFD-induced obesity model, the IBD and CRC risk scores were significantly lowered by the administration of ethanol extracts of NF, but not by the administration of water extracts of NF. In conclusion, changes in the fecal microbiome of obesity by Western diet could be important risk factors for the development of IBD and CRC. The risk prediction model developed in this study could be used to evaluate dietary efficacy.

Reactive oxygen species (ROS) produced in the mitochondria of skin cells play a significant role in the degradation of the extracellular matrix and induction of inflammatory responses, both of which are major contributors to skin aging. Antioxidants that reduce ROS production and inhibit inflammatory skin lesions are considered beneficial for the treatment of inflammatory skin diseases and prevention of skin aging. In this study, we evaluated the potential of Nypa fruticans (NF), which is known for its antioxidant properties, to mitigate tumor necrosis factor-alpha (TNF-α)- and interferon-gamma (IFN-γ)-induced damage in normal human epidermal keratinocytes. The major active constituents identified in NF include protocatechuic acid, hydroxybenzoic acid, procyanidin B, catechin, and epicatechin. NF significantly suppressed the production of ROS, nitric oxide (NO), and prostaglandin E2 (PGE₂), while also reducing the levels of inflammatory cytokines interleukin-6 (IL-6) and interleukin-1 beta (IL-1β), which were elevated by TNF-α/IFN-γ stimulation. Furthermore, NF restored the expression of key skin barrier-related proteins such as serine peptidase inhibitor kazal type 5 (SPINK5), collagen type I alpha 1 chain (COLIA1), loricrin (LOR), aquaporin-3 (AQP3), and filaggrin (FLG). Additionally, NF significantly upregulated the expression of hyaluronan synthase (HAS) -1 and − 2 and human β-defensin (HBD) -2 and − 3, which are important for skin hydration and innate immune defense. These findings underscore the potential therapeutic applications of Nypa fruticans (NF) in mitigating oxidative stress, inflammation, skin barrier dysfunction, dehydration, and microbial imbalances. By targeting multiple pathways implicated in skin aging, NF represents a promising comprehensive approach for preserving skin health and addressing age-related dermatological conditions. Moreover, NF holds significant potential not only to alleviate the manifestations of skin aging but also to provide a basis for the development of innovative dermatological therapies. Future investigations should aim to further elucidate the clinical applications of NF in dermatology to maximize its therapeutic benefits.