The dual role of 20(S)-protopanaxadiol in alleviating pulmonary fibrosis through the gut-lung axis.

BACKGROUND: Pulmonary Fibrosis (PF) is a progressive lung disease characterized by the diffuse interstitial tissue, leading to severe breathing difficulties. The existing treatment methods are primarily aimed at slowing the progression of the disease, underscoring the urgent need to discover new drug interventions targeting novel sites. The "gut-lung axis" represents a complex bidirectional communication system where the gut microbiota not only influences lung immunity but also responds to lung-derived signals. Recent advances have uncovered that alterations in gut microbiota composition can significantly impact respiratory diseases, offering new insights into their pathogenesis and potential therapeutic approaches. METHODS: This study is based on the fundamental concepts of the lung-gut axis and our previous research, further exploring the potential mechanisms of 20(S)-Protopanaxadiol (PPD) in ginseng against PF. We utilized a bleomycin-induced mouse model of PF and employed metabolomics and 16S rRNA sequencing to investigate the pathways through which PPD regulates the pulmonary fibrosis process via the gut-lung axis. Finally, we employed strategies such as antibiotic-induced microbiota disruption and fecal microbiota transplantation (FMT) to provide a comprehensive perspective on how PPD regulates pulmonary fibrosis through gut microbiota. RESULTS: The results of the bleomycin (BLM) mouse model of PF proved that PPD can directly act on the glycolysis- related metabolic reprogramming process in lung and the AMPK/STING pathway to improve PF. Combined the analysis of gut microbiota and related metabolites, we found that PPD can regulate the process of PF through the gut-lung axis target points G6PD and SPHK1. FMT and antibiotic-induced microbiota disruption further confirmed intermediate effect of gut microbiota in PF process and the treatment of PPD. Our study suggests that PPD can alleviate the process of pulmonary fibrosis either by directly acting on the lungs or by regulating the gut microbiota. CONCLUSION: This study positions PPD as a vanguard in the therapeutic landscape for pulmonary fibrosis, offering a dual mechanism of action that encompasses both modulation of gut microbiota and direct intervention at molecular targets. These insights highlight the immense therapeutic potential of harnessing the gut-lung axis.

Identification and immunological characterization of PLA2G2A and cell death-associated molecular clusters in idiopathic pulmonary fibrosis.

AIMS: Idiopathic pulmonary fibrosis (IPF) is a severe pulmonary interstitial pneumonia. Our study focuses on the role of PLA2 enzyme in the IPF to explore a more effective diagnosis and treatment mechanism of IPF. MAIN METHODS: Transcriptome data of IPF from GEO database and bleomycin-induced pulmonary fibrosis mice were analyzed to identify PLA2 enzyme and their metabolite, lysophosphatidylcholines 18:0, in IPF. Based on PLA2G2A and PLA2G2D / PLA2G2A-associated cell death genes (PCDs), the consensus clustering analysis was used to identify the subtypes of IPF and the correlation between PLA2G2A and prognosis was analyzed. The machine learning (ML) models and artificial neural network (ANN) model was used to validate the diagnostic accuracy of PLA2s and PCDs in diagnosing IPF. The gene and protein expression of NLRP3, GSDMD, and CASP-1 was estimated in recombinant PLA2G2A protein induced MLE-12 cells. KEY FINDINGS: The expression of PLA2G2D, PLA2G2A, and LPC18 significantly changed in IPF. Furtherly, PLA2G2A has a significant correlation with poor patient prognosis, which could predict the 2 or 3-years mortality rates of IPF. Two subtypes of IPF patients, identified based on PCDs, showed significant different immunoinfiltration. Recombinant PLA2G2A protein could induce the pyrotosis in the MLE-12 cell. The generalized linear model and ANN model of PLA2s or PCDs accurate diagnosis IPF. SIGNIFICANCE: PLA2G2A is the most robustly associated gene with IPF among the PLA2s, which demonstrates a potential in diagnosing and prognostic value in IPF, and provides a foundation for further understanding and breakthroughs in IPF diagnosis and treatment.

Ginseng saponin metabolite 20(S)-protopanaxadiol relieves pulmonary fibrosis by multiple-targets signaling pathways.

Background: Panax ginseng Meyer is a representative Chinese herbal medicine with antioxidant and anti-inflammatory activity. 20(S)-Protopanaxadiol (PPD) has been isolated from ginseng and shown to have promising pharmacological activities. However, effects of PDD on pulmonary fibrosis (PF) have not been reported. We hypothesize that PDD may reverse inflammation-induced PF and be a novel therapeutic strategy. Methods: Adult male C57BL/6 mice were used to establish a model of PF induced by bleomycin (BLM). The pulmonary index was measured, and histological and immunohistochemical examinations were made. Cell cultures of mouse alveolar epithelial cells were analyzed with Western blotting, co-immunoprecipitation, immunofluorescence, immunohistochemistry, siRNA transfection, cellular thermal shift assay and qRT-PCR. Results: The survival rate of PPD-treated mice was higher than that of untreated BLM-challenged mice. Expression of fibrotic hallmarks, including α-SMA, TGF-ß1 and collagen I, was reduced by PPD treatment, indicating attenuation of PF. Mice exposed to BLM had higher STING levels in lung tissue, and this was reduced by phosphorylated AMPK after activation by PPD. The role of phosphorylated AMPK in suppressing STING was confirmed in TGF-ß1-incubated cells. Both in vivo and in vitro analyses indicated that PPD treatment attenuated BLM-induced PF by modulating the AMPK/STING signaling pathway. Conclusion: PPD ameliorated BLM-induced PF by multi-target regulation. The current study may help develop new therapeutic strategies for preventing PF.

Identification of telomere-related genes associated with aging-related molecular clusters and the construction of a diagnostic model in Alzheimer's disease based on a bioinformatic analysis.

BACKGROUND: Alzheimer's disease (AD) is a neurodegenerative disease that is strongly associated with aging. Telomeres are DNA sequences that protect chromosomes from damage and shorten with age. Telomere-related genes (TRGs) may play a role in AD's pathogenesis. OBJECTIVES: To identify TRGs related to aging clusters in AD patients, explore their immunological characteristics, and build a TRG-based prediction model for AD and AD subtypes. METHODS: We analyzed the gene expression profiles of 97 AD samples from the GSE132903 dataset, using aging-related genes (ARGs) as clustering variables. We also assessed immune-cell infiltration in each cluster. We performed a weighted gene co-expression network analysis to identify cluster-specific differentially expressed TRGs. We compared four machine-learning models (random forest, generalized linear model [GLM], gradient boosting model, and support vector machine) for predicting AD and AD subtypes based on TRGs and validated TRGs by conducting an artificial neural network (ANN) analysis and a nomogram model. RESULTS: We identified two aging clusters in AD patients with distinct immunological features: Cluster A had higher immune scores than Cluster B. Cluster A and the immune system are intimately associated, and this association could affect immunological function and result in AD via the digestive system. The GLM predicted AD and AD subtypes most accurately and was validated by the ANN analysis and nomogram model. CONCLUSION: Our analyses revealed novel TRGs associated with aging clusters in AD patients and their immunological characteristics. We also developed a promising prediction model based on TRGs for assessing AD risk.

Exposure to PM2.5 during pregnancy causes lung inflammation in the offspring: Mechanism of action of mogrosides.

Epidemiological and toxicological studies have demonstrated that exposure to fine particulate matter (PM2.5) during pregnancy is harmful to the tissues of the offspring. However, the mechanism by which PM2.5 exposure causes lung damage in the offspring or potential dietary therapy for this condition remains unclear. Mogrosides (MGs) are derived from the traditional plant Siraitia grosvenorii and are used medicinally, where they can moisten the lungs and relieve coughing. In this study, pregnant rats were exposed to PM2.5 by intratracheal instillation and treated with MGs by gavage to model the effect of PM2.5 in the offspring and the interventional effect of MGs on lung tissue. We then used transcriptomics, metabolomics, and RT-qPCR as tools to look for metabolite and genetic changes in the offspring. We found that when compared to the control group, the mRNA levels of the inflammatory mediator Pla2g2d and the metabolites lysophosphatidylcholines (LysoPCs) and arachidonic acid (AA) were up-regulated in the lung tissues of PM2.5 group. In contrast, these inflammatory changes were restored after treatment with MGs during pregnancy. In addition, the levels of AA, LPC 15:0 and LPC 18:0 were elevated in the PM2.5 group compared with control group. This increase was inhibited by co-administration of MGs. The change of PGA1 was adverse. In conclusion, even a relatively low exposure to PM2.5 in rats during pregnancy produces inflammation in the lungs of the male offspring, and an intervention with MGs could significantly alleviate this effect. Furthermore, Pla2g2d may represent a potential target for MGs resulting in the improvement of PM2.5-induced lung injury.

Adaptive water-air-water data information transfer using orbital angular momentum.

With the increasing demands for underwater monitoring and military applications, underwater wireless optical communication (UWOC) is desired to be an alternative approach to provide higher data rate than acoustic communication. Twisted light carrying orbital angular momentum (OAM) has recently gained increasing interest in diverse areas, especially in free-space and fiber-based optical communications. OAM-based UWOC between underwater and aerial users, a promising technique to enable a variety of applications, which however, has not yet been reported so far. Here we experimentally demonstrate an adaptive water-air-water data information transfer using OAM. According to the feedback information of the received intensity distribution, the reflection element is adjusted for mitigating the misalignment-induced degradation effect due to water level change. The experimental results show favorable performance of the feedback-assisted water-air-water twisted light data information transfer.

Performance evaluation of underwater optical communications using spatial modes subjected to bubbles and obstructions.

Spatial modes have attracted increasing interest in free-space and fiber-based optical communications. Underwater wireless optical communication is becoming a promising technique in marine exploration. Here we investigate the underwater wireless optical communications using different spatial modes, i.e., traditional Gaussian modes, orbital angular momentum modes having helical phase fronts, and diffraction-free and obstruction-tolerant Bessel modes. We evaluate the underwater transmission performance of three spatial modes subjected to dynamic bubbles, which cause similar power fluctuations, regardless of spatial modes. We also demonstrate an underwater transmission link subjected to static obstructions using three spatial modes carrying 1.4 Gbaud orthogonal frequency division multiplexing 16-ary quadrature amplitude modulation (16-QAM) signals. The Bessel mode shows the best performance against obstructions.

10-m 9.51-Gb/s RGB laser diodes-based WDM underwater wireless optical communication.

The availability of the underwater wireless optical communication (UWOC) based on red (R), green (G) and blue (B) lights makes the realization of the RGB wavelength division multiplexing (WDM) UWOC system possible. By properly mixing RGB lights to form white light, the WDM UWOC system has prominent potentiality for simultaneous underwater illumination and high-speed communication. In this work, for the first time, we experimentally demonstrate a 9.51-Gb/s WDM UWOC system using a red-emitting laser diode (LD), a single-mode pigtailed green-emitting LD and a multi-mode pigtailed blue-emitting LD. By employing 32-quadrature amplitude modulation (QAM) orthogonal frequency division multiplexing (OFDM) modulation in the demonstration, the red-light, the green-light and the blue-light LDs successfully transmit signals with the data rates of 4.17 Gb/s, 4.17 Gb/s and 1.17 Gb/s, respectively, over a 10-m underwater channel. The corresponding bit error rates (BERs) are 2.2 × 10-3, 2.0 × 10-3 and 2.3 × 10-3, respectively, which are below the forward error correction (FEC) threshold of 3.8 × 10-3.