The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

Background:Duodenal papillary adenoma is a benign tumor with relatively low incidence but significant carcinogenesis potential.Despite the minimal invasiveness and low complication rate,endoscopic papillectomy is associated with a definite risk of recurrence for duodenal papillary adenoma.Investigating the driver genes of duodenal papillary adenoma and establishing predictive models for recurrence and malignant progression could facilitate the precision medicine.Aims:To identify the key driver genes for tumor occurrence,carcinogenesis and recurrence in duodenal papillary adenoma by integrating multi-dimensional bioinformatics approaches based on transcriptomics data,and validate clinically.Methods:Expression profiles of duodenal papillary adenoma and adenocarcinoma were obtained from the GEO database(including data sets GSE189035,GSE94919,GSE111156,and GSE102208).Differentially expressed genes(DEGs)between adenomatous and normal tissues were screened.Weighted gene co-expression network analysis(WGCNA)and pseudo-time analysis were combined to identify the core genes exhibiting an"initial rise followed by decline"expression pattern during the dynamic progression from normal tissue to adenoma and adenocarcinoma.Functional annotation,immune microenvironment profiling,and protein-protein interaction network analysis were performed to explore the tumor-promoting mechanisms of these core genes.Clinical validation was conducted using immunohistochemistry to estimate the gene expression level and its relationship with tumor recurrence.Results:A total of 469 common DEGs were identified.WGCNA revealed that the blue module(including 1 051 genes)was associated with adenoma development and progression(Cor=-0.29,0.15,and 0.11 for normal tissue,adenoma,and adenocarcinoma,respectively).Intersection with DEGs pinpointed four key genes:SLC12A2,BEST4,SLC37A2,and SOAT2.Pseudo-time analysis demonstrated that only SLC12A2 maintained sustained high expression in both adenoma and adenocarcinoma tissues.KEGG enrichment analysis indicated that SLC12A2 was linked to various malignant pathways(e.g.,PD-1/PD-L1 signaling pathway),and its high expression correlated with the reduced immune cell infiltration(e.g.,γδ T cells,CD8+T cells,etc.).Clinical validation by immunohistochemistry confirmed the trend of initial upregulation and subsequent downregulation of SLC12A2 expression in normal,adenoma,and adenocarcinoma tissues.Patients with tumor recurrence showed higher SLC12A2 expression level(P=0.004);likewise,SLC12A2 high expression was associated with an elevated recurrence risk(P=0.034).Conclusions:SLC12A2 serves as a critical driver of tumorigenesis and progression for duodenal papillary adenoma,and might be a promising biomarker for recurrence prediction.

Background:Duodenal papillary adenoma is a benign tumor with relatively low incidence but significant carcinogenesis potential.Despite the minimal invasiveness and low complication rate,endoscopic papillectomy is associated with a definite risk of recurrence for duodenal papillary adenoma.Investigating the driver genes of duodenal papillary adenoma and establishing predictive models for recurrence and malignant progression could facilitate the precision medicine.Aims:To identify the key driver genes for tumor occurrence,carcinogenesis and recurrence in duodenal papillary adenoma by integrating multi-dimensional bioinformatics approaches based on transcriptomics data,and validate clinically.Methods:Expression profiles of duodenal papillary adenoma and adenocarcinoma were obtained from the GEO database(including data sets GSE189035,GSE94919,GSE111156,and GSE102208).Differentially expressed genes(DEGs)between adenomatous and normal tissues were screened.Weighted gene co-expression network analysis(WGCNA)and pseudo-time analysis were combined to identify the core genes exhibiting an"initial rise followed by decline"expression pattern during the dynamic progression from normal tissue to adenoma and adenocarcinoma.Functional annotation,immune microenvironment profiling,and protein-protein interaction network analysis were performed to explore the tumor-promoting mechanisms of these core genes.Clinical validation was conducted using immunohistochemistry to estimate the gene expression level and its relationship with tumor recurrence.Results:A total of 469 common DEGs were identified.WGCNA revealed that the blue module(including 1 051 genes)was associated with adenoma development and progression(Cor=-0.29,0.15,and 0.11 for normal tissue,adenoma,and adenocarcinoma,respectively).Intersection with DEGs pinpointed four key genes:SLC12A2,BEST4,SLC37A2,and SOAT2.Pseudo-time analysis demonstrated that only SLC12A2 maintained sustained high expression in both adenoma and adenocarcinoma tissues.KEGG enrichment analysis indicated that SLC12A2 was linked to various malignant pathways(e.g.,PD-1/PD-L1 signaling pathway),and its high expression correlated with the reduced immune cell infiltration(e.g.,γδ T cells,CD8+T cells,etc.).Clinical validation by immunohistochemistry confirmed the trend of initial upregulation and subsequent downregulation of SLC12A2 expression in normal,adenoma,and adenocarcinoma tissues.Patients with tumor recurrence showed higher SLC12A2 expression level(P=0.004);likewise,SLC12A2 high expression was associated with an elevated recurrence risk(P=0.034).Conclusions:SLC12A2 serves as a critical driver of tumorigenesis and progression for duodenal papillary adenoma,and might be a promising biomarker for recurrence prediction.

The chest wall is one of the most common sites of local recurrence after mastectomy. Radiation therapy has been proven to significantly reduce local recurrence and improve survival in breast cancer patients. In postmastectomy radiation therapy (PMRT), the dose build-up effects of high-energy radiation result in lower doses on the skin surface of the affected chest wall. To increase the skin dose, tissue compensators (boluses) need to be applied to the skin surface of the affected chest wall. This review primarily summarizes the indications, materials, thickness, and frequency of boluses used in PMRT, serving as a reference for clinical practice.

Objective:To analyze the distribution and epidemiological characteristics of common non-bacterial pathogens in hospitalized children with acute respiratory tract infections(ARTI)from a multi-center study covering 4 regions in Fujian Province in 2023.Methods:A retrospective cohort study was conducted using medical record analysis.A total of 22 769 hospitalized children with ARTI were enrolled from January to December 2023 across seven regional pediatric medical centers in Fujian Province (covering four major geographical divisions of Fuzhou, Nanping, Sanming and Longyan; all selected hospitals were regional children′s medical centers).Using single-tube multiplex PCR with fragment analysis on a Sanger sequencing platform, the nucleic acids of 11 common non-bacterial respiratory pathogens were tested in nasopharyngeal swabs collected from 22 769 children. These pathogens included influenza A virus(FluA), influenza B virus(FluB), parainfluenza virus(PIV), respiratory syncytial virus (RSV), adenovirus (ADV), human rhinovirus (HRV), human bocavirus (HBoV), human coronavirus (HCoV), human metapneumovirus(HMPV), Mycoplasma pneumoniae(MP), and Chlamydia (Ch). Count data were described as [ n(%)], and the chi-square test/Fisher′s exact test was used to compare the differences in rates between groups. Epidemiological features, including positive detection rates, pathogen profiles, and correlations with region, sex, age and month, were analyzed. Results:Among 22 769 children with ARTI, pathogens were detected in 16 213 cases (71.21%), including 13 340 single infections (58.59%).The detection rates of single pathogens in descending order were human rhinovirus (HRV, 12.95%), Mycoplasma pneumoniae(MP, 12.27%), respiratory syncytial virus(RSV, 11.12%), influenza A virus (Flu-A, 7.98%), parainfluenza virus(PIV, 4.66%), human metapneumovirus(HMPV, 4.60%), adenovirus(ADV, 2.70%), human bocavirus(HBoV, 0.84%), human coronavirus(HCoV, 0.82%), influenza B virus(Flu-B, 0.47%) and Chlamydia(Ch, 0.18%).Mixed infections occurred in 2 873 cases(12.62%), primarily dual infections(2 679 cases).Regional analysis revealed significant disparities:Luoyuan County Hospital (Fuzhou) exhibited the highest total detection rate(86.59%, 1 414/1 633)and mixed infection rate(23.27%, 380/1 633)(both P<0.001), with notably elevated MP (26.39%, 431/1 633);Jian′ou City Hospital(Nanping) ranked second for Flu-A(14.21%, 409/2 879), RSV(13.20%, 380/2 879) and mixed infections(17.12%, 493/2 879);Lianjiang County Hospital(Fuzhou) showed distinct prevalence of Flu-A(10.68%, 130/1 217), PIV(6.00%, 73/1 217), and HBoV(1.73%, 21/1 217); Yong′an City Hospital (Sanming) reported high MP (26.07%, 238/913) and RSV(12.38%, 113/913);Shaowu City Hospital(Nanping) was dominated by MP (18.60%, 407/2 188) and HRV(13.39%, 293/2 188); Tingzhou Hospital(Longyan) had the highest HRV (17.88%, 407/2 276) and Flu-B (0.75%, 17/2 276); and Fuzhou Children′s Hospital showed elevated ADV(3.38%, 394/11 663) and HCoV(1.08%, 126/11 663). Except for Flu-B(0.47%, 108/22 769; P=0.054) and Ch(0.18%, 40/22769; P=0.900), all pathogens and mixed infections exhibited significant regional variations ( P<0.05).Gender analysis indicated higher detection rates of HRV, RSV, Flu-A, ADV, PIV, HBoV and mixed infections in males, while MP, HMPV, Flu-B, HCoV, and Ch were more prevalent in females, with statistically significant differences for HRV and MP (both P<0.001). Age stratification showed the highest overall detection rate in the 3-<6 years group (75.48%; P<0.001): RSV and Ch peaked in infants (<1 year), HRV, PIV, ADV and HBoV in toddlers (1-<3 years), HMPV, HCoV, and mixed infections in preschool children (3-<6 years), and MP, Flu-A and Flu-B in older children (6-<18 years).Analyzing the prevalent months, the monthly prevalence trends of pathogens in various regions are similar.Seasonal trends demonstrated year-round HRV activity (peaking in spring/autumn), MP prevalence in autumn/winter, RSV surges in spring-summer (April-June) and late summer-autumn (August-October), and Flu-A predominanced in winter-spring. Conclusion:Multiplex PCR with fragment analysis demonstrated high diagnostic efficacy. The top 4 non-bacterial pathogens in Fujian Province′s ARTI-hospitalized children in 2023 were HRV, MP, RSV and Flu-A. Pathogen distribution exhibited significant regional, age and seasonal variations, emphasizing the need for targeted prevention strategies.

Objective::This study aimed to elucidate the effect of the lipopolysaccharides/toll-like receptor 4 (LPS/TLR4) pathway on early atherosclerosis (AS) development and its associated changes in fecal metabolites, thereby providing an experimental foundation for strategies to prevent and treat early AS.Methods::Twelve Tibetan miniature pigs aged 4-5 months were divided into normal control (NC) group and AS group (6 pigs in each). The group assignment was primarily based on body weight; Secondary criteria, including glucose, lipid profiles, and inflammatory indices, were considered to ensure balanced baseline characteristics between the 2 groups (all P > 0.05). AS group received a high-fat diet for 16 weeks to establish an AS model, while the NC group received a normal diet. Subsequently, serum levels of lipids and various inflammation and oxidative stress markers were measured. Pathological changes in the aorta and colon tissue, LPS/TLR4 pathway-associated protein expressions in the aorta, as well as occludin and zonula occludens-1 in the colon were also assessed. Proton nuclear magnetic resonance spectra technology was employed for the metabolomic analysis of fecal extracts. Results::The lipid metabolism was disrupted in AS group, with significantly higher total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels ((12.24 ± 5.24) mmol/L vs. (1.86 ± 0.27) mmol/L, P = 0.004,6; (2.39 ± 0.50) mmol/L vs. (0.83 ± 0.07) mmol/L, P = 0.000,5; (6.94 ± 2.87) mmol/L vs. (0.77 ± 0.18) mmol/L, P = 0.003,3), as compared to that in NC group. Serum factors, including LPS, tumor necrosis factor-α, and malondialdehyde levels of AS group were significantly higher than that of NC group ((1,230.00 ± 192.70) EU/L vs. (695.70 ± 213.70) EU/L), P = 0.001,1; (424.20 ± 176.90) ng/L vs. (51.20 ± 26.61) ng/L, P = 0.023,5; (3.60 ± 0.77) nmol/mL vs. (2.62 ± 0.21) nmol/mL, P = 0.025,4). Pathological evaluations revealed prominent lipid deposition area in the aortic arch, thoracic aorta, and abdominal aorta of the AS group compared with that of the NC group (4.17% ± 2.30% vs. 0, P = 0.006,7; 6.23% ± 2.95% vs. 0, P = 0.003,6; 3.78% ± 2.18% vs. 0, P = 0.008,1). TLR4, nuclear factor kappa-B p65, and tumor necrosis factor-α expression in the aorta tissue of the AS group were upregulated, whereas occludin and zonula occludens-1 expression in colon tissues was downregulated. Additionally, metabolomics identified significant differences in 21 metabolites in the feces of the AS group compared to the NC group, with further analysis linking these differences to amino acid metabolism. Conclusions::The Tibetan miniature pig model of early AS induced by high-fat intake displayed pronounced chronic inflammation. Preliminary findings suggest that the underlying mechanisms may be associated with the LPS/TLR4 pathway and intestinal metabolic disorders.

Objective::This study aimed to elucidate the effect of the lipopolysaccharides/toll-like receptor 4 (LPS/TLR4) pathway on early atherosclerosis (AS) development and its associated changes in fecal metabolites, thereby providing an experimental foundation for strategies to prevent and treat early AS.Methods::Twelve Tibetan miniature pigs aged 4-5 months were divided into normal control (NC) group and AS group (6 pigs in each). The group assignment was primarily based on body weight; Secondary criteria, including glucose, lipid profiles, and inflammatory indices, were considered to ensure balanced baseline characteristics between the 2 groups (all P > 0.05). AS group received a high-fat diet for 16 weeks to establish an AS model, while the NC group received a normal diet. Subsequently, serum levels of lipids and various inflammation and oxidative stress markers were measured. Pathological changes in the aorta and colon tissue, LPS/TLR4 pathway-associated protein expressions in the aorta, as well as occludin and zonula occludens-1 in the colon were also assessed. Proton nuclear magnetic resonance spectra technology was employed for the metabolomic analysis of fecal extracts. Results::The lipid metabolism was disrupted in AS group, with significantly higher total cholesterol, high-density lipoprotein cholesterol, and low-density lipoprotein cholesterol levels ((12.24 ± 5.24) mmol/L vs. (1.86 ± 0.27) mmol/L, P = 0.004,6; (2.39 ± 0.50) mmol/L vs. (0.83 ± 0.07) mmol/L, P = 0.000,5; (6.94 ± 2.87) mmol/L vs. (0.77 ± 0.18) mmol/L, P = 0.003,3), as compared to that in NC group. Serum factors, including LPS, tumor necrosis factor-α, and malondialdehyde levels of AS group were significantly higher than that of NC group ((1,230.00 ± 192.70) EU/L vs. (695.70 ± 213.70) EU/L), P = 0.001,1; (424.20 ± 176.90) ng/L vs. (51.20 ± 26.61) ng/L, P = 0.023,5; (3.60 ± 0.77) nmol/mL vs. (2.62 ± 0.21) nmol/mL, P = 0.025,4). Pathological evaluations revealed prominent lipid deposition area in the aortic arch, thoracic aorta, and abdominal aorta of the AS group compared with that of the NC group (4.17% ± 2.30% vs. 0, P = 0.006,7; 6.23% ± 2.95% vs. 0, P = 0.003,6; 3.78% ± 2.18% vs. 0, P = 0.008,1). TLR4, nuclear factor kappa-B p65, and tumor necrosis factor-α expression in the aorta tissue of the AS group were upregulated, whereas occludin and zonula occludens-1 expression in colon tissues was downregulated. Additionally, metabolomics identified significant differences in 21 metabolites in the feces of the AS group compared to the NC group, with further analysis linking these differences to amino acid metabolism. Conclusions::The Tibetan miniature pig model of early AS induced by high-fat intake displayed pronounced chronic inflammation. Preliminary findings suggest that the underlying mechanisms may be associated with the LPS/TLR4 pathway and intestinal metabolic disorders.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.

The trillions of commensal microorganisms living in the gut lumen profoundly influence the physiology and pathophysiology of the liver through a unique gut-liver axis. Disruptions in the gut microbial communities, arising from environmental and genetic factors, can lead to altered microbial metabolism, impaired intestinal barrier and translocation of microbial components to the liver. These alterations collaboratively contribute to the pathogenesis of liver disease, and their continuous impact throughout the disease course plays a critical role in hepatocarcinogenesis. Persistent inflammatory responses, metabolic rearrangements and suppressed immunosurveillance induced by microbial products underlie the pro-carcinogenic mechanisms of gut microbiota. Meanwhile, intrahepatic microbiota derived from the gut also emerges as a novel player in the development and progression of liver cancer. In this review, we first discuss the causes of gut dysbiosis in liver disease, and then specify the pivotal role of gut microbiota in the malignant progression from chronic liver diseases to hepatobiliary cancers. We also delve into the cellular and molecular interactions between microbes and liver cancer microenvironment, aiming to decipher the underlying mechanism for the malignant transition processes. At last, we summarize the current progress in the clinical implications of gut microbiota for liver cancer, shedding light on microbiota-based strategies for liver cancer prevention, diagnosis and therapy.