Based on the modern understanding that lipid metabolism disorders mediate tumor microenvironmental imbalance in esophageal carcinoma， this paper proposes that failure of spleen and kidney warming and internal accumulation of phlegm-toxin constitute the core pathogenesis of esophageal carcinoma. Deficiency of spleen and kidney yang qi serves as the root cause， while impaired transformation and transportation of lipids and the accumulation of phlegm-toxin represent the superficial manifestations. Phlegm originates from the transformation of lipids， while toxin arises from and attaches to phlegm. Their interaction forms a sticky and persistent pathological state that runs throughout the entire disease process. The evolution of pathogenesis follows a dynamic and progressive pattern. In the early stage， failure of spleen and kidney warming and dysfunction of lipid metabolism mediate abnormalities in a lipid-enriched microenvironment； in the middle stage， lipid turbidity condenses into phlegm， and phlegm-toxin stasis promotes the formation of an inflammatory and hypercoagulable microenvironment； in the late stage， dysfunction of the sanjiao （三焦） warming function and impaired qi transformation lead to an imbalance in the hypoxic and metabolically dysfunctional microenvironment. Accordingly， a staged therapeutic approach is proposed， including warming the kidney and strengthening the spleen， transforming phlegm and resolving toxin， and warming and unblocking the sanjiao. By regulating lipid metabolism to restore tumor microenvironmental homeostasis， this approach provides a new theore-tical perspective and practical strategy for the intervention of esophageal cancer progression through traditional Chinese medicine.

Background Both productive dust and noise are occupational hazards, and each can induce changes in blood glucose levels among workers. Objective To explore the potential interactive effects of exposure to productive dust and noise on the risk of hyperglycemia among automobile manufacturing workers. Methods Using a cluster sampling method, workers undergoing occupational health examination from three automobile manufacturing plants in Wuhan in 2022 were selected. Basic information was collected using a questionnaire designed by the Chinese Center for Disease Control and Prevention. Exposure history was obtained through occupational history interviews. Clinic indicators such as blood pressure, blood lipids, fasting blood glucose (FBG), and fatty liver status, were retrieved from examination records. Hyperglycemia was defined as FBG > 6.1 mmol·L^-1. Logistic regression models analyzed the independent effects of occupational noise and dust exposure, while additive and multiplicative interaction models assessed their interactive effects on hyperglycemia. Results The prevalence of hyperglycemia among the 1223 participants was 7.7%. Logistic regression showed that using workers without exposure as reference, the odds ratios (OR) and 95% confidence intervals (CI) for hyperglycemia among workers exposed only to dust, only to noise, and to both were 2.15 (1.90, 4.23), 2.23 (1.40, 5.08), and 3.75 (1.95, 7.24), respectively. A linear association was observed between the duration of noise exposure and blood glucose levels (P<0.05). Interaction analysis showed no multiplicative interaction or additive interaction. Conclusion Exposure to productive dust and noise are independent risk factors for hyperglycemia among workers. While both contribute to increased risk, no significant synergistic interaction is observed.

Based on the modern understanding that lipid metabolism disorders mediate tumor microenvironmental imbalance in esophageal carcinoma， this paper proposes that failure of spleen and kidney warming and internal accumulation of phlegm-toxin constitute the core pathogenesis of esophageal carcinoma. Deficiency of spleen and kidney yang qi serves as the root cause， while impaired transformation and transportation of lipids and the accumulation of phlegm-toxin represent the superficial manifestations. Phlegm originates from the transformation of lipids， while toxin arises from and attaches to phlegm. Their interaction forms a sticky and persistent pathological state that runs throughout the entire disease process. The evolution of pathogenesis follows a dynamic and progressive pattern. In the early stage， failure of spleen and kidney warming and dysfunction of lipid metabolism mediate abnormalities in a lipid-enriched microenvironment； in the middle stage， lipid turbidity condenses into phlegm， and phlegm-toxin stasis promotes the formation of an inflammatory and hypercoagulable microenvironment； in the late stage， dysfunction of the sanjiao （三焦） warming function and impaired qi transformation lead to an imbalance in the hypoxic and metabolically dysfunctional microenvironment. Accordingly， a staged therapeutic approach is proposed， including warming the kidney and strengthening the spleen， transforming phlegm and resolving toxin， and warming and unblocking the sanjiao. By regulating lipid metabolism to restore tumor microenvironmental homeostasis， this approach provides a new theore-tical perspective and practical strategy for the intervention of esophageal cancer progression through traditional Chinese medicine.

Objective To explore the application of plasma 7 microRNA (miR7) testing in the differential diagnosis of very early-stage hepatocellular carcinoma (HCC). Methods This study is a multicenter real-world study. Patients with single hepatic lesion (maximum diameter≤2 cm) who underwent plasma miR7 testing at Zhongshan Hospital, Fudan University, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Anhui Provincial Hospital, and Peking University People’s Hospital between January 2019 and December 2024 were retrospectively enrolled. Patients were divided into very early-stage HCC group and non-HCC group, and the clinical pathological characteristics of the two groups were compared. The value of plasma miR7 levels, alpha-fetoprotein (AFP), and des-gamma-carboxy prothrombin (DCP) in the differential diagnosis of very early-stage HCC was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). In patients with both negative AFP and DCP (AFP＜20 ng/mL, DCP＜40 mAU/mL), the diagnostic value of plasma miR7 for very early-stage HCC was analyzed. Results A total of 64 528 patients from 4 hospitals underwent miR7 testing, and 1 682 were finally included, of which 1 073 were diagnosed with very early-stage HCC and 609 were diagnosed with non-HCC. The positive rate of miR7 in HCC patients was significantly higher than that in non-HCC patients (67.9% vs 24.3%, P＜0.001). ROC curves showed that the AUCs for miR7, AFP, and DCP in distinguishing HCC patients from the non-HCC individuals were 0.718, 0.682, and 0.642, respectively. The sensitivities were 67.85%, 43.71%, and 44.45%, and the specificities were 75.70%, 92.78%, and 83.91%, respectively. The pairwise comparison of AUCs showed that the diagnostic efficacy of plasma miR7 detection was significantly better than that of AFP or DCP (P＜0.05). Although its specificity was slightly lower than AFP and DCP, the sensitivity was significantly higher. Among patients negative for both AFP and DCP, miR7 maintained an AUC of 0.728 for diagnosing very early-stage HCC, with 67.82% sensitivity and 77.73% specificity. Conclusions Plasma miR7 testing is a potential molecular marker with high sensitivity and specificity for the differential diagnosis of small hepatic nodules. In patients with very early-stage HCC lacking effective molecular markers (negative for both AFP and DCP), miR7 can serve as a novel and effective molecular marker to assist diagnosis.

T-cell acute lymphoblastic leukemia (T-ALL) is a highly aggressive hematologic malignancy with a poor prognosis, despite advancements in treatment. Many patients struggle with relapse or refractory disease. Investigating the role of the super-enhancer (SE) regulated gene ubiquitin-specific protease 20 (USP20) in T-ALL could enhance targeted therapies and improve clinical outcomes. Analysis of histone H3 lysine 27 acetylation (H3K27ac) chromatin immunoprecipitation sequencing (ChIP-seq) data from six T-ALL cell lines and seven pediatric samples identified USP20 as an SE-regulated driver gene. Utilizing the Cancer Cell Line Encyclopedia (CCLE) and BloodSpot databases, it was found that USP20 is specifically highly expressed in T-ALL. Knocking down USP20 with short hairpin RNA (shRNA) increased apoptosis and inhibited proliferation in T-ALL cells. In vivo studies showed that USP20 knockdown reduced tumor growth and improved survival. The USP20 inhibitor GSK2643943A demonstrated similar anti-tumor effects. Mass spectrometry, RNA-Seq, and immunoprecipitation revealed that USP20 interacted with hypoxia-inducible factor 1 subunit alpha (HIF1A) and stabilized it by deubiquitination. Cleavage under targets and tagmentation (CUT&Tag) results indicated that USP20 co-localized with HIF1A, jointly modulating target genes in T-ALL. This study identifies USP20 as a therapeutic target in T-ALL and suggests GSK2643943A as a potential treatment strategy.

Based on ultra-performance liquid chromatography-quadrupole-electrostatic field Orbitrap high-resolution mass spectrometry(UPLC-Q-Orbitrap HRMS) technology and molecular docking, the bitter-tasting substances(hereafter referred to as "bitter substances") in Cistanche deserticola extract were investigated, and the bitter taste and efficacy relationship was explored to lay the foundation for future research on de-bittering and taste correction. Firstly, UPLC-Q-Orbitrap HRMS was used for the qualitative analysis of the constituents of C. deserticola, and 69 chemical components were identified. These chemical components were then subjected to molecular docking with the bitter taste receptor, leading to the screening of 20 bitter substances, including 6 phenylethanol glycosides, 5 flavonoids, 3 phenolic acids, 2 cycloalkenyl ether terpenes, 2 alkaloids, and 2 other components. Nine batches of fresh C. deserticola samples were collected from the same origin but harvested at different months. These samples were divided into groups based on harvest month and plant part. The bitterness was quantified using an electronic tongue, and the content of six potential bitter-active compounds(pineconotyloside, trichothecene glycoside, tubulin A, iso-trichothecene glycoside, jinshihuaoside, and jingnipinoside) was determined by high-performance liquid chromatography(HPLC). The total content of phenylethanol glycosides, polysaccharides, alkaloids, flavonoids, and phenolic acids was determined using UV-visible spectrophotometry. Chemometric analyses were then conducted, including Pearson's correlation analysis, gray correlation analysis, and orthogonal partial least squares discriminant analysis(OPLS-DA), to identify the bitter components in C. deserticola. The results were consistent with the molecular docking findings, and the two methods mutually supported each other. Finally, network pharmacological predictions and analyses were performed to explore the relationship between the targets of bitter substances and their efficacy. The results indicated that key targets of the bitter substances included EGFR, PIK3CB, and PTK2. These substances may exert their bitter effects by acting on relevant disease targets, confirming that the bitter substances in C. deserticola are the material basis of its bitter taste efficacy. In conclusion, this study suggests that the phenylethanol glycosides, primarily pineconotyloside, mauritiana glycoside, and gibberellin, are the material basis for the "bitter taste" of C. deserticola. The molecular docking technique plays a guiding role in the screening of bitter substances in traditional Chinese medicine(TCM). The bitter substances in C. deserticola not only contribute to its bitter taste but also support the concept of the "taste-efficacy" relationship in TCM, providing valuable insights and references for future research in this area.
Molecular Docking Simulation ; Taste ; Chromatography, High Pressure Liquid ; Cistanche/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Humans ; Mass Spectrometry

OBJECTIVE: To study the clinical and laboratory characteristics of monoclonal gammopathy anemia and explore the risk factors associated with anemia in monoclonal gammopathy. METHODS: A retrospective analysis was conducted on 5 539 patients who underwent immunofixation electrophoresis at the First Affiliated Hospital of Chengdu Medical College from January 2016 to February 2024. A total of 351 newly diagnosed M protein positive patients were selected as the study subjects, including 270 in the anemia group and 81 in the non-anemia group. Laboratory test results were compared between the two groups, and logistic regression models were used to analyze the risk factors for anemia. ROC curve analysis was performed to evaluate the predictive value of risk factors for anemia in monoclonal gammopathy. RESULTS: The proportion of non-anemic patients was 23.1% (81/351), with a median age of 67(60-75) years; the proportion of anemic patients was 76.9% (270/351), with a median age of 70(63-75) years. The total protein, globulin, urea, creatinine, uric acid, β₂-microglobulin, and ceruloplasmin levels in the anemia group were higher than those in the non-anemia group ( P < 0.05), while albumin, neutrophil count, lymphocyte count, monocyte count, complement C3, complement C4, haptoglobin, and transferrin levels were lower in the non-anemia group ( P < 0.05). After adjustment, multivariate logistic regression analysis shows that elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 were independent risk factors for anemia in monoclonal gammopathy ( P < 0.05). ROC curve analysis demonstrates that GLB, β₂-MG, ANC, and complement C3 had good predictive value for anemia associated with monoclonal gammopathy. CONCLUSION Elevated GLB, increased β₂-MG, decreased ANC, and reduced complement C3 are independent risk factors for anemia in monoclonal gammopathy (P < 0.05). The combined assessment of these four factors has good predictive value for anemia in monoclonal gammopathy.
Humans ; Retrospective Studies ; Anemia/complications* ; Aged ; Middle Aged ; Paraproteinemias/diagnosis* ; Risk Factors ; Male ; Female ; Logistic Models ; ROC Curve ; Complement C3

ObjectiveTo investigate the mechanism of action of Huangqi Guizhi Wuwutang （HGWT） against cerebral ischemia-reperfusion injury （CIRI） based on bioinformatics and experimental validation. MethodsBiological informatics methods were used to screen for active components of HGWT and their targets. The GEO database was utilized to obtain CIRI-related differentially expressed genes （DEGs）， and platforms such as GeneCards were used to identify disease targets. Venn diagram analysis was conducted to identify overlapping targets， followed by protein-protein interaction （PPI）， gene ontology （GO）， and Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis， as well as immune infiltration and immune cell differential analysis. Core genes （Hub genes） were screened using LASSO regression and ROC curves， and molecular docking was used to validate the binding efficiency between the active components of the drug and the core targets. A rat CIRI model was established， with rats randomly divided into five groups （n=10）： Sham surgery group （Sham）， model group （MG）， and low-dose （LD，5.3 g·kg^-1）， medium-dose （MD，10.6 g·kg^-1）， and high-dose （HD，21.2 g·kg^-1） HGWT groups. From 3 days before modeling to 7 days after surgery， oral administration was performed daily： Sham and MG groups received physiological saline， while each drug group received the corresponding dose of HGWT. Hematoxylin-eosin （HE） staining， Nissl staining， and terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling （TUNEL staining） were used to assess the repair effects of HGWT on neural damage. Western blot analysis was used to detect B-cell lymphoma-2 protein （Bcl-2）， Bcl-2-associated X protein （Bax）， signal transducer and activator of transcription 3 （STAT3）， phosphorylated STAT3 ［p-STAT3 （Tyr705）］， protein kinase B1 （Akt1）， and phosphorylated Akt1 ［p-Akt1 （Ser473）］， among other target proteins. ResultsAfter screening， 56 common target points of DEGs-disease-drug were obtained. GO and KEGG analyses indicated that HGWT primarily functions in pathways such as apoptosis， oxidative stress， and inflammatory responses. Immune infiltration analysis revealed a significant association between HGWT's anti-CIRI activity and immune cells such as Th17 cells and myeloid-derived suppressor cells （MDSCs） （P0.01）. LASSO-ROC analysis identified Akt1， Caspase-3， glycogen synthase kinase-3β （GSK-3β）， and STAT3 as core genes. Molecular docking confirmed that Hub genes exhibit significant binding affinity with the active components of HGWT （binding energy ≤ -5 kJ·mol^-1）（1 cal≈4.186 J）. Animal experiment results showed that compared with the sham group， the MG group exhibited significant neuronal necrosis， nuclear condensation， and vacuolar degeneration in rat brains， with a significant decrease in Nissl body density （P0.01） and increased neuronal apoptosis in rat brains as indicated by TUNEL staining （P0.01）. Compared with the MG， the LD， MD， and HD groups showed reduced neuronal necrosis， nuclear condensation， and vacuolar degeneration in rat brain neurons， increased Nissl body density， and reduced apoptosis （P0.01）， with significant differences among the drug groups （P0.01）. Western blot results showed that compared with the sham group， the MG group had reduced Bcl-2 and p-Akt1 （P0.01） and increased Bax and p-STAT3 （P0.01）. Compared with the MG group， the drug groups showed increased Bcl-2 and p-Akt1 （P0.01） and decreased Bax and p-STAT3 （P0.01）. There were no significant changes in total Akt1 and STAT3 protein levels among the groups. ConclusionBased on network pharmacology and experimental verification， HGWT may exert its neuroprotective effects by regulating the phosphorylation levels of Akt1 and STAT3， thereby alleviating cell apoptosis， inflammatory responses， and oxidative stress in rat brain tissue following CIRI. This provides theoretical support for the clinical treatment of CIRI.