Background: Preeclampsia is a life-threatening disease of pregnancy that lacks effective pharmaceuticals which can target its pathogenesis. Since preeclampsia involves complex pathological processes, including autophagy, this study aims to explore autophagy-related mechanisms of preeclampsia and to screen potential drugs. Methods: Firstly, the datasets GSE75010, GSE24129, GSE66273, and autophagic genes lists were downloaded from public databases. Then, a weighted gene co-expression network analysis (WGCNA) was applied to filter autophagic-related hub genes of preeclampsia. The differential expression levels of the hub genes were validated with datasets GSE24129 and GSE66273. Next, the GO and KEGG enrichment, protein-protein interacting (PPI) network, as well as the downstream pathways was analyzed via the starBase, STRING and Cytoscape to determine the functions and regulatory network of the hub genes. Additionally, the immune microenvironment of preeclampsia was investigated by the CIBERSORTX database. Finally, three herb ingredients, berberine, baicalein, and luteolin were screened by molecular docking in comparison to pravastatin, metformin, and aspirin, to predict potential drugs for treating preeclampsia. Results: A total of 54 autophagy-related genes were filtered by WGCNA. After filtering with |GS| > 0.5 and |MM| > 0.8, three hub genes, namely PKM, LEP, and HK2, were identified and validated. Among these genes, PKM and LEP were overexpressed in women older than 35 years old ( p<0.05; p<0.05); the expression of PKM, LEP, and HK2 differed remarkably in women with different BMI (all p<0.05); PKM overexpressed in women with hypertension (p<0.05). The regulatory network of hub genes demonstrated that they were mainly enriched in metabolic pathways, including the AMPK signaling pathway, glucagon signaling pathway, adipocytokine signaling pathway, and central carbon metabolism. Then, immune microenvironment analysis turned out that M2 macrophages were reduced in preeclampsia women (p<0.0001) and were negatively correlated with the expression of PKM (r=-0.2, p<0.05), LEP (r=-0.4, p<0.0001), and HK2 (r=-0.3, p<0.001). Lastly, molecular docking showed baicalein and luteolin could bind intimately to hub genes. Conclusion: PKM, LEP, and HK2 could be promising biomarkers for preeclampsia, which might regulate the pathogenesis of preeclampsia via metabolism pathways and immune microenvironment. Baicalein and luteolin could be potential therapeutics for preeclampsia.

Background: Bladder cancer is a common malignancy with high recurrence rate. Early diagnosis and recurrence surveillance are pivotal to patients’ outcomes, which require novel minimal-invasive diagnostic tools. The urinary microbiome is associated with bladder cancer and can be used as biomarkers, but the underlying mechanism is to be fully illustrated and diagnostic performance to be improved. Methods: A total of 23 treatment-naïve bladder cancer patients and 9 non-cancerous subjects were enrolled into the Before group and Control group. After surgery, 10 patients from the Before group were further assigned into After group. Void mid-stream urine samples were collected and sent for 16S rDNA sequencing, targeted metabolomic profiling, and flow cytometry. Next, correlations were analyzed between microbiota, metabolites, and cytokines. Finally, receiver operating characteristic (ROC) curves of the urinary biomarkers were plotted and compared. Results: Comparing to the Control group, levels of IL-6 (p < 0.01), IL-8 (p < 0.05), and IL-10 (p < 0.05) were remarkably elevated in the Before group. The α diversity of urine microbiome was also significantly higher, with the feature microbiota positively correlated to the level of IL-6 (r = 0.58, p < 0.01). Significant differences in metabolic composition were also observed between the Before and Control groups, with fatty acids and fatty acylcarnitines enriched in the Before group. After tumor resection, cytokine levels and the overall microbiome structure in the After group remained similar to that of the Before group, but fatty acylcarnitines were significantly reduced (p < 0.05). Pathway enrichment analysis revealed beta-oxidation of fatty acids was significantly involved (p < 0.001). ROC curves showed that the biomarker panel of Actinomycetaceae + arachidonic acid + IL-6 had superior diagnostic performance, with sensitivity of 0.94 and specificity of 1.00. Conclusions: Microbiome dysbiosis, proinflammatory environment and altered fatty acids metabolism are involved in the pathogenesis of bladder cancer, which may throw light on novel noninvasive diagnostic tool development.

This study aimed to develop a PANoptosis-related gene prognostic index (PANGPI) to explore its potential value in predicting the prognosis and immunotherapy response of diffuse large B-cell lymphoma (DLBCL). Differentially expressed genes of DLBCL from GEO databases were analyzed and mapped to the PANoptosis gene set. The independent prognostic value of the PANGPI signature was evaluated using LASSO Cox regression and multivariate Cox regression. Additionally, the tumor infiltrating lymphocyte (TIL) characteristics and mutation landscape of both subgroups were evaluated, and drug sensitivity was predicted using the GDSC database. Furthermore, in silico docking and molecular dynamic simulation studies were presented to elucidate the mode of interaction of these predicted drugs. The PANGPI risk score was an independent risk factor for the prognosis of patients with DLBCL and exhibited good prognostic predictive performance. Furthermore, the cytolytic activity of the TILs was positively correlated with the PANGPI scores. Additionally, the PANGPI enabled the identification of 3 chemotherapeutic agents, including BMS-536924, Gefitinib, Navitoclax for DLBCL patients in the high-risk group. We established a novel PANoptosis-related gene subtyping system in DLBCL, which could shed a novel light on the development of new biomarkers for DLBCL.

The vaginal microbiome (VM) is associated with human papillomavirus (HPV) infection and progression, but a thorough understanding of the relation between HPV infection, and VM needs to be elucidated. From August to December 2022, women who underwent routine gynecological examinations were screened for HPV infection. The distribution of HPV variants and clinical characteristics were collected. Then, a total of 185 participants were enrolled and divided into HPV-negative (HC), high-risk HPV (H), low-risk HPV (L), multiple high-risk HPV (HH), and mixed high-low risk HPV (HL) groups. Samples were collected from the mid-vagina of these 185 participants and sent for 16S rDNA sequencing (V3–V4 region). Among 712 HPV-positive women, the top 3 most frequently detected genotypes were HPV52, HPV58, and HPV16. Among 185 participants in the microbiology study, the β diversity of the HC group was significantly different from HPV-positive groups ( P < 0.001). LEfSe analysis showed that Lactobacillus iners was a potential biomarker for H group, while Lactobacillus crispatus was for L group. Regarding HPV-positive patients, the α diversity of cervical lesion patients was remarkably lower than those with normal cervix ( P < 0.05). Differential abundance analysis showed that Lactobacillus jensenii significantly reduced in cervical lesion patients ( P < 0.001). Further community state type (CST) clustering displayed that CST IV was more common than other types in HC group ( P < 0.05), while CST I was higher than CST IV in H group ( P < 0.05). Different HPV infections had distinct vaginal microbiome features. HPV infection might lead to the imbalance of Lactobacillus spp. and cause cervical lesions. IMPORTANCE: In this study, we first investigated the prevalence of different HPV genotypes in south China, which could provide more information for HPV vaccinations. Then, a total of 185 subjects were selected from HPV-negative, high-risk, low-risk, multiple hr-hr HPV infection, and mixed hr-lr HPV infection populations to explore the vaginal microbiome changes. This study displayed that HPV52, HPV58, and HPV16 were the most prevalent high-risk variants in south China. In addition, high-risk HPV infection was featured by Lactobacillus iners , while low-risk HPV infection was by Lactobacillus crispatus . Further sub-group analysis showed that Lactobacillus jensenii was significantly reduced in patients with cervical lesions. Finally, CST clustering showed that CST IV was the most common type in HC group, while CST I accounted the most in H group. In a word, this study for the first time systemically profiled vaginal microbiome of different HPV infections, which may add bricks to current knowledge on HPV infection and lay the foundation for novel treatment/prevention development.

Gut microbiota is associated with gallstone occurrence and recurrence. But whether they can predict post-cholecystectomy choledocholithiasis recurrence needs to be investigated. From September 2020 to June 2021, a total of 100 symptomatic gallstone patients scheduled for laparoscopic cholecystectomy were enrolled in the Disease group in the Department of Hepatobiliary Surgery at Quanzhou First Hospital. Meanwhile, a total of 50 age- and sex-matched healthy controls were included in the Control group. Fecal specimens were collected from both groups and subjected to 16S rDNA sequencing (V3V4 region) for microbiologic analysis. After laparoscopic cholecystectomy, patients were followed up, and recurrent cases were recorded. Finally, a nomogram for predicting recurrent risks was built. The gut microbial diversity in the Disease group was significantly lower than that of the Control group (all P < 0.05). The Chao1 index of the recurrent group was remarkably lower than the control group ( P < 0.05). Linear discriminant analysis (LDA) effect size (LEfSe) analysis showed that Phocaeicola dorei (LDA score = 4.2, P < 0.05) was the feature microbiota in the recurrent group. Logistic regression analysis showed that the composition of stones, the high abundances of P. dorei and Fusobacterium necrogenes were potential risk factors for recurrent choledocholithiasis, and a nomogram based on these factors demonstrated high accuracy and excellent calibration. This study has identified potential risk factors for recurrent choledocholithiasis and built a nomogram that can well predict recurrent risks for patients who undergo cholecystectomy, which might serve as a useful tool for patients’ stratification and post-surgery management. IMPORTANCE: This study identifies specific gut microbiome signatures of gallstone patients and indicates that reduced diversity and high abundances of Phocaeicola dorei and Fusobacterium necrogenes might be potential predictors for choledocholithiasis recurrence after cholecystectomy. By demonstrating a link between gut microbiota composition and post-surgical recurrence risk, it advances our understanding beyond simple association with predictive capability. The development of a nomogram incorporating these microbial markers provides a novel, clinically applicable tool for accurate risk stratification of patients undergoing cholecystectomy, therefore bridging the gap between microbial ecology and clinical practice. The significance of this study lies in that it aims to address a critical unmet need in gallstone disease management by offering a more cost-effective and non-invasive tool to improve long-term patient outcomes and pave the way for microbiome-targeted interventions. CLINICAL TRIALS: This study is registered with Chinese Clinical Trial Registry Center as ChiCTR2400090232 .