Hepatocellular carcinoma(HCC), the third leading cause of cancer-related death worldwide, is characterized by high mortality and recurrence rates. Common treatments include hepatectomy, liver transplantation, ablation therapy, interventional therapy, radiotherapy, systemic therapy, and traditional Chinese medicine(TCM). While exhibiting specific advantages, these approaches are associated with varying degrees of adverse effects. To alleviate patients' suffering and burdens, it is crucial to explore additional treatments and elucidate the pathogenesis of HCC, laying a foundation for the development of new TCM-based drugs. With emerging research on gut microbiota, it has been revealed that microbiota plays a vital role in the development of HCC by influencing intestinal barrier function, microbial metabolites, and immune regulation. TCM, with its multi-component, multi-target, and multi-pathway characteristics, has been increasingly recognized as a vital therapeutic treatment for HCC, particularly in patients at intermediate or advanced stages, by prolonging survival and improving quality of life. Recent global studies demonstrate that TCM exerts anti-HCC effects by modulating gut microbiota, restoring intestinal barrier function, regulating microbial composition and its metabolites, suppressing inflammation, and enhancing immune responses, thereby inhibiting the malignant phenotype of HCC. This review aims to elucidate the mechanisms by which gut microbiota contributes to the development and progression of HCC and highlight the regulatory effects of TCM, addressing the current gap in systematic understanding of the "TCM-gut microbiota-HCC" axis. The findings provide theoretical support for integrating TCM with western medicine in HCC treatment and promote the transition from basic research to precision clinical therapy through microbiota-targeted drug development and TCM-based interventions.
Humans ; Gastrointestinal Microbiome/drug effects* ; Carcinoma, Hepatocellular/microbiology* ; Liver Neoplasms/microbiology* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional

OBJECTIVE: To investigate platelet count trajectories after induction therapy with venetoclax combined with azacitidine (VA regimen) in newly diagnosed AML patients and further analyze its clinical significance. METHODS: Clinical date of 50 newly diagnosed AML patients who received VA treatment from March 2020 to July 2023 in Department of Hematology of the First Hospital of Lanzhou University were retrospectively collected. The platelet trajectories after induction chemotherapy were constructed by using group-based trajectory modeling. To study the association between diverse trajectories of platelet counts and compound complete remission (cCR) rate, overall response rate (ORR), minimal residual disease (MRD) negative rate and overall survival (OS) rate. The Cox proportional hazard model was used to evaluate the relationship between platelet trajectory and OS. The logistic regression was used to analyze the influence of individual characteristics on platelet trajectory. RESULTS: Two platelet trajectories were identified based on the model, including platelet slowly increased group (n=31, 62.0%) and platelet rapidly increased group (n=19, 38.0%). There were statistically significant differences in cCR rate, ORR and OS rate between platelet slowly increased group and platelet rapidly increased group (all P < 0.05). The Cox regression analysis showed that platelet rapidly increased group was associated with a decreased risk of mortality compared with platelet slowly increased group (HR=0.153, 95%CI : 0.045-0.527, P =0.003). Logistic regression analysis showed that IDH1/2 mutation (OR =3.908, 95%CI : 1.023-14.923, P =0.046) and platelet transfusion (OR =0.771, 95%CI : 0.620-0.959, P =0.020) were independent influencing factors of platelet trajectory. CONCLUSION The dynamic trajectory of platelet counts in newly diagnosed AML patients who received VA treatment can serve as a significant indicator to observe the efficacy and prognosis. The platelet rapidly increased is an independent protective factor for good prognosis. TheIDH1 /2 mutation and platelet transfusion are independent influencing factors of platelet trajectory.
Humans ; Leukemia, Myeloid, Acute/blood* ; Sulfonamides/administration & dosage* ; Azacitidine/therapeutic use* ; Platelet Count ; Retrospective Studies ; Bridged Bicyclo Compounds, Heterocyclic/administration & dosage* ; Male ; Female ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Induction Chemotherapy ; Survival Rate

Objective： The aim of this study is to explore the predictive value of biparametric magnetic resonance imaging(bpMRI)for pelvic lymph node metastasis in prostate cancer patients with PSA≤20 μg/L and establish a nomogram. Methods： The imaging data and clinical data of 363 patients undergoing radical prostatectomy and pelvic lymph node dissection in the First Affiliated Hospital of Nanjing Medical University from July 2018 to December 2023 were retrospectively analyzed. Univariate analysis and multivariate logistic regression were used to screen independent risk factors for pelvic lymph node metastasis in prostate cancer, and a nomogram of the clinical prediction model was established. Calibration curves were drawn to evaluate the accuracy of the model. Results： Multivariate logistic regression analysis showed extrocapusular extension (OR=8.08,95%CI=2.62－24.97, P<0.01), enlargement of pelvic lymph nodes (OR=4.45,95%CI=1.16－17.11,P=0.030), and biopsy ISUP grade(OR=1.97,95%CI=1.12－3.46, P=0.018)were independent risk factors for pelvic lymph node metastasis. The C-index of the prediction model was 0.834, which indicated that the model had a good prediction ability. The actual value of the model calibration curve and the prediction probability of the model fitted well, indicating that the model had a good accuracy. Further analysis of DCA curve showed that the model had good clinical application value when the risk threshold ranged from 0.05 to 0.70.Conclusion： For prostate cancer patients with PSA≤20 μg/L, bpMRI has a good predictive value for the pelvic lymph node metastasis of prostate cancer with extrocapusular extension, enlargement of pelvic lymph nodes and ISUP grade≥4.
Humans ; Male ; Prostatic Neoplasms/diagnostic imaging* ; Lymphatic Metastasis ; Retrospective Studies ; Nomograms ; Prostate-Specific Antigen/blood* ; Lymph Nodes/pathology* ; Pelvis ; Predictive Value of Tests ; Prostatectomy ; Lymph Node Excision ; Risk Factors ; Magnetic Resonance Imaging ; Logistic Models ; Middle Aged ; Aged

BACKGROUND: The clinical impact of post-percutaneous coronary intervention (PCI) quantitative flow ratio (QFR) in patients treated with PCI for chronic total occlusion (CTO) was still undetermined. METHODS: All CTO vessels treated with successful anatomical PCI in patients from PANDA III trial were retrospectively measured for post-PCI QFR. The primary outcome was 2-year vessel-oriented composite endpoints (VOCEs, composite of target vessel-related cardiac death, target vessel-related myocardial infarction, and ischemia-driven target vessel revascularization). Receiver operator characteristic curve analysis was conducted to identify optimal cutoff value of post-PCI QFR for predicting the 2-year VOCEs, and all vessels were stratified by this optimal cutoff value. Cox proportional hazards models were employed to calculate the hazard ratio (HR) with 95% CI. RESULTS: Among 428 CTO vessels treated with PCI, 353 vessels (82.5%) were analyzable for post-PCI QFR. 31 VOCEs (8.7%) occurred at 2 years. Mean value of post-PCI QFR was 0.92 ± 0.13. Receiver operator characteristic curve analysis shown the optimal cutoff value of post-PCI QFR for predicting 2-year VOCEs was 0.91. The incidence of 2-year VOCEs in the vessel with post-PCI QFR < 0.91 (n = 91) was significantly higher compared with the vessels with post-PCI QFR ≥ 0.91 (n = 262) (22.0% vs. 4.2%, HR = 4.98, 95% CI: 2.32-10.70). CONCLUSIONS Higher post-PCI QFR values were associated with improved prognosis in the PCI practice for coronary CTO. Achieving functionally optimal PCI results (post-PCI QFR value ≥ 0.91) tends to get better prognosis for patients with CTO lesions.

Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

Objective To observe the effects of Angelica and Astragalus ultrafiltration membrane extracts on Keap1/Nrf2 signaling pathway-related factors in diabetes kidney disease(DKD)model rats;To explore its mechanism in treating oxidative stress injury of DKD.Methods Totally 70 SPF-grade male SD rats were randomly divided into 10 rats for the blank group and the remaining 60 rats were fed with high-sugar and high-fat diet,streptozotocin was intraperitoneally injected after 4 weeks to establish the DKD model.The established model rats were randomly divided into the model group,positive control group(GKT137831 30 mg/kg)and TCM high-,medium-and low-dosage groups(Angelica and Astragalus ultrafiltration membrane extracts 6,3,1.5 g/kg),which were orally administered with corresponding drugs.The blank group and model group were given equivalent volume of distilled water orally once daily for 12 consecutive weeks.Random blood glucose,body mass and 24 h urinary total protein content(24 h-UTP)were detected,biochemical assays were conducted to detect serum creatinine(SCr),blood urea nitrogen(BUN),triglycerides(TG),total cholesterol(TC)and albumin(ALB)contents,HE and Masson staining were used to observe the morphology in renal tissue,the contents of reactive oxygen species(ROS),glutathione(GSH)and malondialdehyde(MDA)were measured by ELISA,the protein expressions of nicotinamide adenine dinucleotide phosphate oxidase 4(Nox4),Kelch-like ECH-associated protein 1(Keap1),nuclear factor erythroid 2-related factor 2(Nrf2),glutamate-cysteine ligase modifier subunit(GCLM)and glutathione peroxidase 4(GPX4)in renal tissue were detected by Western blot.Results Compared with the blank group,the random blood glucose at each time point of model group rats significantly increased(P<0.01),the 24 h-UTP significantly increased(P<0.01),the contents of SCr,BUN and serum TG,TC increased(P<0.01),and ALB content decreased(P<0.01);with loose arrangement and disordered structure of renal tissue,consolidation of glomeruli,shedding of renal tubular epithelial cells,and increased deposition of collagen fibers;the contents of serum ROS and MDA were significantly elevated(P<0.01),while GSH contents decreased(P<0.01);the protein expression of Nox4 and Keap1 in renal tissue significantly increased(P<0.01),the expression of Nrf2,GCLM and GPX4 protein significantly decreased(P<0.01).Compared with the model group,the random blood glucose were significantly reduced at 6,8,10,12 weeks in the treatment groups(P<0.01),24 h-UTP decreased(P<0.01),the contents of SCr,BUN,TG,TC in positive control group and TCM high-,medium-dosage group decreased,with increased ALB content(P<0.01,P<0.05);renal tubular and glomerular lesions were improved,and collagen fiber proliferation decreased;serum ROS and MDA contents were reduced,while GSH content increased(P<0.01,P<0.05);the protein expression of Nox4 and Keap1 in renal tissue decreased(P<0.01),and Nrf2,GCLM and GPX4 protein expression increased(P<0.01).Conclusion Angelica and Astragalus ultrafiltration membrane extracts can effectively alleviate injury of renal tissue in DKD rats,and its mechanism may be related to the regulation of the Keap1/Nrf2 signaling pathway and inhibition of oxidative stress response.

Objective:To explore the correlation between smoking behavior of employees in heavy industry enterprises and risk factors for cardiovascular and cerebrovascular diseases.Methods:A cross-sectional study design was adopted. A questionnaire survey and physical examination data collection were conducted on employees of a heavy industry enterprise in Shaanxi Province using a cluster sampling method from March to April 2024. A total of 2 209 cases met the inclusion criteria. According to the smoking index (SI), participants were divided into a non-smoking group (SI=0, 1 316 cases), a low smoking group (SI400, 656 cases), and a high smoking group (SI≥400, 237 cases). According to the fagerstrom test for nicotine dependence (FTND) score, participants were divided into a non-dependence group (FTND=0, 1 316 cases), a mild dependence group (FTND=1-3, 623 cases), a moderate dependence group (FTND=4-6, 204 cases), and a severe dependence group (FTND≥7, 66 cases). Spearman rank correlation, univariate, and multivariate logistic regression analyses were used to compare differences in blood pressure, fasting blood glucose, total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, triglycerides, uric acid, homocysteine, and body mass index among the groups.Results:As the SI and FTND scores increased, blood pressure, low-density lipoprotein cholesterol, triglycerides, uric acid, and homocysteine all showed an increasing trend, while high-density lipoprotein cholesterol showed a decreasing trend (all P0.05). The systolic blood pressure, diastolic blood pressure, fasting blood glucose, low density lipoprotein cholesterol (LDL-C), triglycerides, serum uric acid, and homocysteine in the high smoking group were higher than those in the non-smoking group [(124.93±16.55) vs (122.32±16.62) mmHg (1 mmHg=0.133 kPa), (80.86±11.10) vs (76.18±11.63) mmHg, 5.58 vs 5.29 mmol/L, (3.13±0.65) vs (2.95±0.56) mmol/L, 1.70 vs 1.09 mmol/L, (336.80±69.94) vs (299.00±86.43) μmol/L, 14.20 vs 11.76 μmol/L, all P0.001], the high-smoking group had lower HDL cholesterol than the non-smoking group [(1.34±0.30) vs (1.39±0.27) mmol/L, P0.001], the systolic blood pressure, diastolic blood pressure, fasting blood glucose, total cholesterol, low-density lipoprotein cholesterol, triglycerides, serum uric acid, and homocysteine in the severely dependent group were higher than those in the non-dependent group [(132.09±16.69 )vs (122.32±16.62) mmHg, (81.32±12.97) vs (76.18±11.63) mmHg, 5.61 vs 5.29 mmol/L, (4.98±0.91 )vs (4.70±0.88) mmol/L, (3.19±0.62) vs (2.95±0.56) mmol/L, 1.87 vs 1.09 mmol/L, (328.95±75.21) vs (299.03±86.43) μmol/L, 14.38 vs 11.76 μmol/L, all P0.05], and the high density lipoprotein cholesterol (HDL-C) in the severely dependent group was lower than that in the non-dependent group [(1.32±0.30) vs (1.39±0.27) mmol/L, P0.001]. Multivariate analysis showed that SI and degree of tobacco dependence (DTD), were significantly correlated with fasting blood glucose, triglycerides, and LDL cholesterol, but the effect size of SI was too small ( OR=1.001, 95% CI: 1.000-1.001, P=0.002, OR=1.001, 95% CI: 1.001-1.002, P0.001, OR=1.001, 95% CI: 1.000-1.001, P=0.032). Conclusions:Smoking behavior among employees in heavy industry enterprises is significantly correlated with risk factors for cardiovascular and cerebrovascular diseases. The degree of tobacco dependence is closely related to the risk of abnormal fasting blood glucose, low-density lipoprotein cholesterol, and triglycerides.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.

ObjectiveTo explore quality difference factors of Perillae Caulis based on the contents of multiple chemical components and comprehensively evaluate the quality. MethodsA total of 32 batches of Perillae Caulis samples were collected from 12 producing areas such as Hebei， Anhui and Guangdong， and their diameter range， epidermis color and producing areas were recorded. Total flavonoids， total phenols， volatile oils， 5 active components and 84 volatile components in 32 batches of samples were quantitatively or semi-quantitatively determined by colorimetry， ultra performance liquid chromatography-photodiode array detector（UPLC-PDA） and gas chromatography-mass spectrometry（GC-MS）. Then the differences between the contents of these components were analyzed by principal component analysis（PCA） and non-parametric test. According to the weights of the index components determined by PCA model， entropy weight-technique for order preference by similarity to ideal solution（TOPSIS） model was constructed to evaluate the quality of Perillae Caulis with different characters and origins. ResultsThere were significant differences in the composition of Perillae Caulis with different diameters， epidermis colors and producing areas， and 9 differential components were screened out， including 6 index constituents（total flavonoids， total phenols， caffeic acid， scutellarin， rosmarinic acid and luteolin） and 3 volatile components（caryophyllene oxide， （-）-humulene epoxide Ⅱ， 14-hydroxycaryophyllene）， of which 6 index constituents were higher in samples with small diameter， purple-brown epidermis and southern origin， while the contents of 3 volatile components were higher in samples with large diameter， dark-brown epidermis and northern origin. A significant difference was shown in the model scores of different diameters， epidermis colors and origins（P<0.05）， and the scores of Perillae Caulis with small diameter and purple-brown epidermis from southern area， especially Guangdong， had a high score. ConclusionThere are significant differences in the composition and content of chemical constituents between different diameters， epidermal colors and production areas of Perillae Caulis， samples showing small diameter， owing purple-brown epidermis， and originating from Guangdong were of higher-quality due to their higher content of 8 key indices.