OBJECTIVES: To investigate the therapeutic effects and mechanisms of 2,6-dimethoxy-1,4-benzoquinone (2,6-DMBQ) in a mouse model of asthma. METHODS: SPF-grade BALB/c mice were randomly divided into 7 groups (n=8 each group): normal control group, ovalbumin (OVA) group, dimethyl sulfoxide+corn oil group, budesonide (BUD) group, and low, medium, and high dose 2,6-DMBQ groups. An asthma mouse model was established by OVA induction, followed by corresponding drug interventions. Non-invasive lung function tests were performed to measure airway hyperresponsiveness, and enzyme-linked immunosorbent assay was used to determine levels of interleukin (IL)-17, IL-10, and serum immunoglobulin E in bronchoalveolar lavage fluid. A cell counter was employed to detect eosinophil counts in bronchoalveolar lavage fluid, while hematoxylin-eosin staining and periodic acid-Schiff staining were used to assess lung tissue pathological changes. Western blot was conducted to examine the expression of proteins related to the mammalian target of rapamycin pathway (p-AKT/AKT and p-p70S6K/p70S6K), and a fully automated biochemical analyzer was used to evaluate liver and kidney functions. RESULTS: Compared with the normal control group, the OVA group showed increased enhanced pause values, inflammation scores from hematoxylin-eosin staining, positive area from periodic acid-Schiff staining, percentage of eosinophils, IL-17/IL-10 ratio, serum immunoglobulin E levels, and relative expression levels of p-AKT/AKT and p-p70S6K/p70S6K (P<0.05). The BUD group and the medium and high dose 2,6-DMBQ groups exhibited decreased values for these indicators compared to the OVA group (P<0.05). CONCLUSIONS 2,6-DMBQ can inhibit the mTOR pathway to alleviate airway inflammation in asthmatic mice, possibly by mitigating the imbalance between Th17 and regulatory T cells.
Animals ; Asthma/pathology* ; Mice, Inbred BALB C ; Signal Transduction/drug effects* ; Mice ; TOR Serine-Threonine Kinases/physiology* ; Female ; Benzoquinones/pharmacology* ; Immunoglobulin E/blood* ; Interleukin-10/analysis* ; Interleukin-17/analysis* ; Bronchoalveolar Lavage Fluid ; Lung/pathology*

Objective To investigate the efficacy of Lactobacillus plantarum ZG03(L.plantarum ZG03)for ameliorating oxidative stress in zebrafish.Methods We evaluated the growth pattern of L.plantarum ZG03,observed its morphology using field emission scanning electron microscopy,and assessed its safety and potential efficacy with whole-genome sequencing for genetic analysis.FITC-labeled ZG03 was used to observe its intestinal colonization in zebrafish.In a zebrafish model of 2%glucose-induced oxidative stress,the effect of ZG03 was evaluated by assessing the changes in neutrophils in the caudal hematopoietic tissue(CHT),superoxide dismutase(SOD)activity,reactive oxygen species(ROS)levels,and malondialdehyde(MDA)content.Liquid chromatography-mass spectrometry-based targeted metabolomics was used for analyzing short-chain fatty acids(SCFAs)in the zebrafish,and the antioxidant effects of the key metabolites(acetate,propionate,and caproate)were tested.Results On MRS agar,L.plantarum ZG03 formed circular,smooth,moist,and milky-white colonies with a rod-shaped cell morphology.Genomic analysis revealed abundant sugar metabolism gene clusters.After inoculation of FITC-labeled L.plantarum ZG03 in zebrafish,green fluorescence was clearly observed in the intestinal bulb,mid-intestine,and hind intestine.In zebrafish with glucose-induced oxidative stress,L.plantarum ZG03 significantly reduced ROS levels and the number of neutrophils in the CHT with increased SOD activity.L.plantarum ZG03 significantly increased the content of SCFAs including acetic acid,propionic acid,and caproic acid in zebrafish metabolites.In addition,sodium acetate,sodium propionate,and sodium caproate in the SCFAs significantly increased SOD activity in the zebrafish models.Conclusion L.plantarum ZG03 ameliorates oxidative stress in a glucose-induced zebrafish model through its metabolites,particularly the SCFAs including acetic acid,propionic acid and caproic acid.

OBJECTIVES: To investigate the efficacy of Lactobacillus plantarum ZG03 (L. plantarum ZG03) for ameliorating oxidative stress in zebrafish. METHODS: We evaluated the growth pattern of L. plantarum ZG03, observed its morphology using field emission scanning electron microscopy, and assessed its safety and potential efficacy with whole-genome sequencing for genetic analysis. FITC-labeled ZG03 was used to observe its intestinal colonization in zebrafish. In a zebrafish model of 2% glucose-induced oxidative stress, the effect of ZG03 was evaluated by assessing the changes in neutrophils in the caudal hematopoietic tissue (CHT), superoxide dismutase (SOD) activity, reactive oxygen species (ROS) levels, and malondialdehyde (MDA) content. Liquid chromatography-mass spectrometry-based targeted metabolomics was used for analyzing short-chain fatty acids (SCFAs) in the zebrafish, and the antioxidant effects of the key metabolites (acetate, propionate, and caproate) were tested. RESULTS: On MRS agar, L. plantarum ZG03 formed circular, smooth, moist, and milky-white colonies with a rod-shaped cell morphology. Genomic analysis revealed abundant sugar metabolism gene clusters. After inoculation of FITC-labeled L. plantarum ZG03 in zebrafish, green fluorescence was clearly observed in the intestinal bulb, mid-intestine, and hind intestine. In zebrafish with glucose-induced oxidative stress, L. plantarum ZG03 significantly reduced ROS levels and the number of neutrophils in the CHT with increased SOD activity. L.plantarum ZG03 significantly increased the content of SCFAs including acetic acid, propionic acid, and caproic acid in zebrafish metabolites. In addition, sodium acetate, sodium propionate, and sodium caproate in the SCFAs significantly increased SOD activity in the zebrafish models. CONCLUSIONS L. plantarum ZG03 ameliorates oxidative stress in a glucose-induced zebrafish model through its metabolites, particularly the SCFAs including acetic acid, propionic acid and caproic acid.
Animals ; Zebrafish/metabolism* ; Oxidative Stress ; Lactobacillus plantarum/metabolism* ; Fatty Acids, Volatile/metabolism* ; Probiotics ; Reactive Oxygen Species/metabolism* ; Superoxide Dismutase/metabolism*

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective:This study aimed to summarize the clinical characteristics and prognosis of patients with bone marrow invasive follicular lymphoma (FL) and discuss the treatment modalities.Methods:This study included 183 consecutive patients with FL accompanied by bone marrow invasion and receiving regular treatment at the Hospital of Hematology, Chinese Academy of Medical Sciences, from January 2013 to December 2022. Clinical data were retrospectively collected and analyzed, and single and multifactorial analyses of survival prognosis were conducted with the Kaplan-Meier method and Cox regression model.Results:The median age was 48 (range: 19 - 78) years, and the male-to-female ratio was 0.9∶1. All of the patients had bone marrow invasion, 27.8% had increased lactate dehydrogenase levels, 42.1% had lymphocyte counts of >5×10 9/L, 18.4% had abnormal chromosomal karyotypes, and 48.6% had Ki-67 index of ≥30% in lymphoid tissue. Comparison of different subgroups: lymphocyte counts of >5×10 9/L, number of lymph nodes of ≥5 involved, and proportion of bone marrow chromosomal abnormalities occurring were higher in the anthracycline-intensive treatment group than in the rituximab, cyclophosphamide, doxorubicin, vincristine, and prednisone (R-CHOP) protocol and the nucleoside analog (including CD20 monoclonal antibody in combination with fludarabine and bendamustine) groups (all P<0.05). The complete remission rate was 39.1% in the conventional R-CHOP group, which was lower and statistically significant than that in the intensive treatment group (55.1%) and the nucleoside analog group (62.5%) ( P=0.042). The multivariate analysis for survival analysis revealed high risk of FLIPI ( HR= 1.910, 95% CI 1.036 - 3.522, P=0.036), chromosomal abnormalities karyotype ( HR=2.666, 95% CI 1.333-5.331, P=0.006), and conventional R-CHOP treatment ( HR=2.287, 95% CI 1.140-4.591, P=0.020) were the independent adverse prognostic factors affecting progression-free survival (PFS), whereas POD24 was the only independent adverse prognostic factor affecting overall survival (OS) adverse prognostic factor ( HR=9.581, 95% CI 3.000 - 30.593, P<0.001) . Conclusions:The clinical presentations of patients with bone marrow invasive FL were easy to combine the clinical features, including increased lymphocyte count, chromosomal abnormalities, and Ki-67 index in lymphoid tissues. The FLIPI score, chromosomal abnormal karyotype, and high-lymphoid-tissue Ki-67 index were the poor prognostic factors influencing PFS. R-CHOP therapy demonstrated a poor prognosis in this group of patients.

Objective To explore the value of constructing a model to predict the number of positive cores in systematic biopsy in prostate cancer(PCa)using a combination of radiomics features based on magnetic resonance imaging and clinical indicators.Methods Retrospectively collected magnetic resonance imaging and clinical data from two medical institutions(Gansu Provincial Hospital from January 2018 to February 2023,Zhangye People's Hospital Affiliated to Hexi College from April 2020 to February 2023).The 155 patients from Gansu Provincial Hospital were randomly divided into a training set(n=109;80 cases with positive needle count≥6 and 29 cases with positive needle count<6)and an internal validation set(n=46;34 cases with positive needle count≥6 and 12 cases with positive needle count<6)in a 7:3 ratio.The 43 patients from Zhangye People's Hospital Affiliated to Hexi College were used as external validation set.Small field of view high-resolution T2-weighted imaging(sFOV HR-T2WI)and contrast-enhanced delayed-phase images were selected to extract radiomic features from the three-dimensional region of interest of the entire prostate,and radiomics model was constructed and Radscores calculated after dimensionality reduction and feature selection.Univariate and multivariate logistic regressions were used to screen for independent risk factors for positive cores in systematic biopsy.Nomogram was constructed using Radscore and clinical independent risk factors to predict the number of positive cores in systematic biopsy in PCa patients,which was then externally validated.Results Age,alkaline phosphatase(ALP),free prostate specific antigen(FPSA),total prostate specific antigen(TPSA),FPSA/TPSA ratio,and prostate specific antigen density(PSAD)were not statistically significantly different between the training,internal validation,and external validation sets(P>0.05).FPSA,TPSA,FPSA/TPSA ratio,and PSAD were significantly different between the positive cores<6 and positive cores≥6 groups(P<0.001).Univariate logistic regression analysis showed that FPSA(P<0.001),TPSA(P<0.001),FPSA/TPSA ratio(P=0.001),PSAD(P<0.001),and Radscore(P<0.001)were risk factors for positive cores in systematic biopsy in PCa.Multivariate logistic regression analysis showed that PSAD(OR=0.251,95%CI 0.063-0.996,P=0.049)and Radscore(OR=1.990,95%CI 1.409-2.812,P<0.001)were independent risk factors for positive cores in systematic biopsy in PCa.The clinical models achieved AUCs of 0.849(95%CI 0.774-0.924),0.817(95%CI 0.693-0.941),and 0.631(95%CI 0.439-0.822);the 12 features for radiomics models are derived solely from sFOV HR-T2WI,the radiomics models achieved AUCs of 0.868(95%CI 0.791-0.945),0.846(95%CI 0.695-0.996),and 0.815(95%CI 0.660-0.970);the nomogram achieved AUCs of 0.921(95%CI 0.869-0.973),0.868(95%CI 0.743-0.992),and 0.840(95%CI 0.702-0.978)in the training set,internal validation set,and external validation set,respectively.Conclusions The combination of radiomic features extracted from sFOV HR-T2WI and PSAD can preoperatively be used as a noninvasive manner to predict the number of positive cores of the PCa patients.This approach has a certain value in risk stratification of PCa patients and guiding personalized clinical management.

Purpose: This study evaluated the value of contrast-enhanced ultrasonography (CEUS) in the ultrasound-guided microwave ablation (MWA) treatment of symptomatic focal uterine adenomyosis. Methods: This retrospective study was conducted between March 2020 and January 2023, enrolling 52 patients with symptomatic focal uterine adenomyosis who had undergone MWA. All patients were examined with CEUS before and after MWA. The non-perfused volume (NPV) was compared between CEUS and dynamic contrast-enhanced magnetic resonance imaging (DCEMRI) following ablation. Therapeutic efficacy and safety were evaluated at 3-, 6-, and 12-month follow-ups. Additionally, this study explored the correlations between pre-treatment CEUS features and a volume reduction ratio indicating sufficient ablation, defined as 50% or more at the 3-month follow-up. Results: No significant differences in NPV were noted between CEUS and DCE-MRI immediately after MWA and during follow-up (all P>0.05). At the 3-month follow-up, the median VRRs for the uterus and adenomyosis were 33.2% and 63.9%, respectively. Sufficient ablation was achieved in 69.2% (36/52) of adenomyosis cases, while partial ablation was observed in the remaining 30.8% (16/52). The identification of non-enhancing areas on pre-treatment CEUS was associated with sufficient ablation (P=0.016). At the 12-month follow-up, significant decreases were observed in both the uterine and adenomyosis volumes (all P<0.001). Dysmenorrhea and menorrhagia were significantly alleviated at 12 months, and no major complications were encountered. Conclusion CEUS can be used to evaluate the ablation zone of focal adenomyosis that has been treated with MWA, similarly to DCE-MRI. The identification of non-enhancing areas on pretreatment CEUS indicates satisfactory treatment outcomes.

Purpose: This study evaluated the value of contrast-enhanced ultrasonography (CEUS) in the ultrasound-guided microwave ablation (MWA) treatment of symptomatic focal uterine adenomyosis. Methods: This retrospective study was conducted between March 2020 and January 2023, enrolling 52 patients with symptomatic focal uterine adenomyosis who had undergone MWA. All patients were examined with CEUS before and after MWA. The non-perfused volume (NPV) was compared between CEUS and dynamic contrast-enhanced magnetic resonance imaging (DCEMRI) following ablation. Therapeutic efficacy and safety were evaluated at 3-, 6-, and 12-month follow-ups. Additionally, this study explored the correlations between pre-treatment CEUS features and a volume reduction ratio indicating sufficient ablation, defined as 50% or more at the 3-month follow-up. Results: No significant differences in NPV were noted between CEUS and DCE-MRI immediately after MWA and during follow-up (all P>0.05). At the 3-month follow-up, the median VRRs for the uterus and adenomyosis were 33.2% and 63.9%, respectively. Sufficient ablation was achieved in 69.2% (36/52) of adenomyosis cases, while partial ablation was observed in the remaining 30.8% (16/52). The identification of non-enhancing areas on pre-treatment CEUS was associated with sufficient ablation (P=0.016). At the 12-month follow-up, significant decreases were observed in both the uterine and adenomyosis volumes (all P<0.001). Dysmenorrhea and menorrhagia were significantly alleviated at 12 months, and no major complications were encountered. Conclusion CEUS can be used to evaluate the ablation zone of focal adenomyosis that has been treated with MWA, similarly to DCE-MRI. The identification of non-enhancing areas on pretreatment CEUS indicates satisfactory treatment outcomes.

Objective:To explore the efficacy and safety of ibrutinib for the treatment of newly treated and relapsed refractory (R/R) lymphoplasmacytic lymphoma (LPL) /Waldenstr?m macroglobulinemia (WM) .Methods:Retrospectively collected clinical data of 98 cases of newly treated and R/R LPL/WM patients who received ibrutinib treatment at the Hematology & Blood Diseases Hospital of the Chinese Academy of Medical Sciences from March 2016 to June 2023, and analyzed their efficacy and safety.Results:A total of 98 LPL/WM patients were included, which consisted of 45 newly treated patients and 53 R/R patients. Of these, 74 were males (75.5%) and the cohort had a median age of 64 (42-87) years. Eighty-eight patients were eligible for efficacy evaluation with a median treatment time of 20.8 (2.1-55.0) months, a major remission rate (MRR) of 78.4%, and an overall response rate (ORR) of 85.2%. The MRR and ORR of the newly treated patients were 78.4% and 86.5%, respectively, whereas the MRR and ORR of the R/R patients were 78.4% and 84.3%, respectively. There were no statistically significant differences in MRR and ORR between the initial treatment and R/R patients (all P values >0.05) . The median follow-up period was 29.1 (2.9-50.3) months and the median overall survival time for newly treated and R/R patients was not reached. The median progression-free survival time was 23.5 (95% CI 10.5-36.5) months and 45.0 (95% CI 34.0-56.0) months, respectively, with no statistically significant differences (all P values >0.05) . There were 25 deceased patients and no deaths were related to ibrutinib treatment. The main adverse reactions of ibrutinib were thrombocytopenia (5.1%) , pneumonia (8.1%) , and hyperuricemia (21.4%) . The incidence of atrial fibrillation was 2.0%. Conclusion:Ibrutinib exhibits good efficacy and safety for newly treated and R/R LPL/WM patients.