The conversion of abundant and low-cost biomass waste into highly efficient two-electron oxygen reduction(ORR)electrocatalyst is an important link in the degradation of pollutants in industrial wastewater through the electro-Fenton process.In this work,porous biocarbon materials doped with manganese and nitrogen(MnNBC)were prepared from corn stalk.The H2O2 selectivity of MnNBC in acidic media was up to 81% @0.6 Vvs RHE,also MnNBC exhibited a long-term stability in a 10-h uninterrupted lifetime test.The ORR activity of MnNBC could be attributed to the synergistic effect of the hierarchical porous structure,improved defect level and heteroatom doping.Moreover,MnNBC as a cathode material for the electro-Fenton system could completely degrade four kinds of common organic dye pollutants,e.g.,Rhodamine B,methyl orange,methylene blue and crystal violet(25 mg/L),respectively,within 40?60 min.The present study provided valuable insights into the transformation of corn stalk waste into efficient cathode materials for the electro-Fenton process.

Retinal vein occlusion(RVO)is often accompanied by macular edema(ME), which is the main cause of visual impairment in patients. From the perspective of traditional Chinese medicine theory, the key pathogenesis lies in Qi stagnation and blood stasis, as well as internal retention of water and dampness, which is closely related to the dysfunction of internal organs such as liver depression and qi stagnation, spleen failure to function properly, and kidney deficiency with water retention. Although anti-vascular endothelial growth factor(VEGF)therapy has become the first-line treatment option for RVO-ME, some patients show a low response or no response to this therapy, resulting in recurrent ME. According to traditional Chinese medicine, such difficult-to-treat cases are often caused by long-term illness entering the meridians and the interplay of phlegm and blood stasis, or by deficiency of the body's vital energy and the lingering of pathogenic factors. Intervention should be carried out through therapeutic methods such as promoting blood circulation and diuresis, resolving phlegm and unblocking meridians, and strengthening the body's vital energy and eliminating pathogenic factors. At present, the pathogenesis of RVO-ME is not yet fully understood. Modern medicine believes that it may involve multiple factors such as retinal microstructure damage, abnormal blood flow and systemic diseases throughout the body, while traditional Chinese medicine emphasizes the overall connection between local lesions and the imbalance of Qi, blood, Yin and Yang throughout the body. This article systematically reviews the existing research achievements of traditional Chinese and Western medicine on RVO-ME, analyzes its possible high-risk factors, and provides a theoretical basis for formulating individualized treatment plans integrating the advantages of traditional Chinese and Western medicine for such patients.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective:To explore the values of reticulin fiber staining (RFS) in evaluating bone marrow (BM) involvement of lymphoma and in grading of BM biopsy from adult lymphoma patients.Methods:Retrospectively,354 cases of adult lymphoma were collected from November 2023 to May 2024 at Peking University Cancer Hospital. BM samples were stained with RFS and immunohistochemical staining (IHC), and flow cytometry (FCM) was also performed with the BM aspirations simultaneously. RFS was graded according to the European Consensus, as high grade (grade 2-3) indicating BM involvement in the study. BM involvement was considered as definite if no less than two positive findings among IHC, FCM, and RFS. Statistical analyses were performed via SPSS software (V23.0).Results:In this series, 52.3% (185/354) of the patients were male; 35.0% (124/354) aged >60 years; BM involvements were found in 34.5% (122/354) cases with high grade of RFS, which, in turn, were lymphoblastic leukemia/lymphoma (ALL/LBL) group (4/4), indolent B-cell lymphoma (IndBCL) group (49.1%, 53/108), transformed B-cell lymphoma (TrBCL) group (2/5), invasive B-cell lymphoma (InvBCL) group (26.5%, 41/155), T and NK cell lymphoma (TNKCL) group (27.3%, 12/44) and classical Hodgkin lymphoma (CHL) group (26.3%, 10/38); if classified by specific types, T-ALL/LBL (2/2), B-ALL/LBL (2/2) and CLL/SLL (8/10) ranked top three. In terms of the positive rate of BM involvement evaluated by RFS, no significant difference was seen between either gender or age groups ( χ2=3.416, P=0.332 and χ2=4.200, P=0.241); however, significant differences were observed between different lymphoma groups and types ( χ2=29.961, P=0.012 and χ2=102.546, P<0.001, respectively). BM invasion rates indicated by IHC and FCM were 25.4% (90/354) and 13.8% (49/354), respectively. The overall BM invasion rate was 24.3% (86/354), and the sensitivity of RFS, IHC, and FCM was 90.8%, 97.8%, and 55.8%, and specificity was 84.1%, 99.6%, and 98.9%, respectively. Overall, the concordance rate of RFS with IHC and FCM was 83.6% and 74.0%, respectively, including 85.8% and 74.2% for InvBCL group, 79.6% and 75.0% for IndBCL group, 84.1% and 75.0% for TNKCL group, 81.6% and 73.7% for CHL group, 5/5 and 2/5 for TrBCL group, and 4/4 and 3/4 for ALL/LBL group. Conclusions:In the evaluation of BM involvement status of adult lymphoma, high sensitivity and specificity are observed by RFS, and high concordance is also noted with both IHC and FCM. Thus, the BM infiltrating status of adult lymphoma could be evaluated more accurately by a combined usage of the three methods.

Objective To evaluate the recognition capability of AI-enabled Cellsee CS-BM1 automatic cell morphology analyzer for pe-ripheral blood smears and its roles in assisting manual classification,and explore the application value of AI system in the diagnosis network of tiered primary medical units.Methods The blood samples which triggered the re-examination rules were collected from six primary medical units,including the Laboratory Department of Shanghai Jiahui International Hospital,and so on,from March to No-vember 2023.The smears of peripheral blood were prepared and AI analyzer was used for pre-classification to evaluate its recognition performance in identifying the samples with abnormal WBC and RBC.The sensitivity,specificity,and accuracy of WBC classification by six junior and intermediate technicians,both with and without AI assistance,were analyzed.Additionally,the roles of the AI system in tiered diagnosis of primary medical units were also evaluated.Results The sensitivity,specificity,and accuracy of AI system in recognizing malignant primitive cells were 92.86％,95.16％,and 95.10％,respectively.The sensitivities of AI system in recognizing immature granulocytes,reactive lymphocytes,and nucleated RBCs were all greater than 90％.The sensitivity of AI system in identif-ying abnormal morphology of RBCs reached 99.59％,along with rapid quantitative analysis for various anomalous types of RBCs.In AI-assisted mode,the sensitivity of recognition for all cell types was improved to varying degrees by junior and intermediate technicians,and the sensitivity for recognizing malignant primitive cells,reactive lymphocytes,and immature granulocytes increased to 58.24％,53.39％,and 62.37％for junior technicians,and to 92.06％,83.24％,and 83.12％for intermediate technicians,respectively.The improvements for junior technicians were particularly significant,with increases of 12.46％,10.61％,and 3.71％for each cell type,respectively.Both groups achieved higher specificity and accuracy.Through AI pre-classification and manual review,a variety of pe-ripheral blood cell-related diseases were accurately diagnosed in the tiered healthcare practice of primary medical units,including 339 cases(11.13％)of red blood cell diseases,5 cases(0.16％)of platelet diseases,2 343 cases(76.90％)of infection-related disea-ses,and 28 cases(0.92％)of malignant hematological diseases.In addition,332 cases(10.90％)which lacked an obvious related cause or required further examinations were identified as well.Conclusion AI pre-classification has demonstrated strong cell recogni-tion capabilities and may assist technicians in improving the sensitivity,specificity,and accuracy of blood cell classification.AI could en-hance the disease-screening capabilities in the tiered diagnosis network of primary medical units,presenting a broad application prospect.

Objective:To explore the values of reticulin fiber staining (RFS) in evaluating bone marrow (BM) involvement of lymphoma and in grading of BM biopsy from adult lymphoma patients.Methods:Retrospectively,354 cases of adult lymphoma were collected from November 2023 to May 2024 at Peking University Cancer Hospital. BM samples were stained with RFS and immunohistochemical staining (IHC), and flow cytometry (FCM) was also performed with the BM aspirations simultaneously. RFS was graded according to the European Consensus, as high grade (grade 2-3) indicating BM involvement in the study. BM involvement was considered as definite if no less than two positive findings among IHC, FCM, and RFS. Statistical analyses were performed via SPSS software (V23.0).Results:In this series, 52.3% (185/354) of the patients were male; 35.0% (124/354) aged >60 years; BM involvements were found in 34.5% (122/354) cases with high grade of RFS, which, in turn, were lymphoblastic leukemia/lymphoma (ALL/LBL) group (4/4), indolent B-cell lymphoma (IndBCL) group (49.1%, 53/108), transformed B-cell lymphoma (TrBCL) group (2/5), invasive B-cell lymphoma (InvBCL) group (26.5%, 41/155), T and NK cell lymphoma (TNKCL) group (27.3%, 12/44) and classical Hodgkin lymphoma (CHL) group (26.3%, 10/38); if classified by specific types, T-ALL/LBL (2/2), B-ALL/LBL (2/2) and CLL/SLL (8/10) ranked top three. In terms of the positive rate of BM involvement evaluated by RFS, no significant difference was seen between either gender or age groups ( χ2=3.416, P=0.332 and χ2=4.200, P=0.241); however, significant differences were observed between different lymphoma groups and types ( χ2=29.961, P=0.012 and χ2=102.546, P<0.001, respectively). BM invasion rates indicated by IHC and FCM were 25.4% (90/354) and 13.8% (49/354), respectively. The overall BM invasion rate was 24.3% (86/354), and the sensitivity of RFS, IHC, and FCM was 90.8%, 97.8%, and 55.8%, and specificity was 84.1%, 99.6%, and 98.9%, respectively. Overall, the concordance rate of RFS with IHC and FCM was 83.6% and 74.0%, respectively, including 85.8% and 74.2% for InvBCL group, 79.6% and 75.0% for IndBCL group, 84.1% and 75.0% for TNKCL group, 81.6% and 73.7% for CHL group, 5/5 and 2/5 for TrBCL group, and 4/4 and 3/4 for ALL/LBL group. Conclusions:In the evaluation of BM involvement status of adult lymphoma, high sensitivity and specificity are observed by RFS, and high concordance is also noted with both IHC and FCM. Thus, the BM infiltrating status of adult lymphoma could be evaluated more accurately by a combined usage of the three methods.

ObjectiveTo establish a polymerase chain reaction-restriction fragment length polymorphism （PCR-RFLP） method for rapid distinguishing Periplocae Cortex from Acanthopanacis Cortex and Lycii Cortex， so as to avoid the influence of genetic confusion on drug safety. MethodThe DSS-tagged sequences of Periplocae Cortex were obtained from the Chloroplast Genome Information Resource （CGIR） and analyzed to find the enzymatic cleavage sites that were different from those of Acanthopanacis Cortex and Lycii Cortex. The specific enzymatic cleavage site， Cla I， of Periplocae Cortex was selected， on the basis of which the primers for PCR-RFLP were designed. Furthermore， the factors such as annealing temperature， number of cycles， Taq enzyme， PCR instruments， and enzymatic treatment time that may influence PCR-RFLP were studied. The established PCR-RFLP method was applied to the identification of Periplocae Cortex， Acanthopanacis Cortex， and Lycii Cortex samples produced in different regions. ResultThe PCR-RFLP at the annealing temperature of 59 ℃ and with 40 cycles showed clear bands of the samples. When the enzyme digestion time was 30 min. The reaction produced the target bands at about 140 bp and 290 bp for both Periplocae Cortex and its original plant and only a band at about 430 bp for Acanthopanacis Cortex， Lycii Cortex， and their original plants. The method can accurately distinguish Periplocae Cortex from its confounders Acanthopanacis Cortex and Lycii Cortex. ConclusionThe PCR-RFLP method for distinguishing Periplocae Cortex from Acanthopanacis Cortex and Lycii Cortex was established. It has high stability， sensitivity， and applicability， providing a reference for the quality control of Periplocae Cortex， Acanthopanacis Cortex， and Lycii Cortex.

Background::Atopic dermatitis (AD) affects approximately 10% of adults worldwide. CM310 is a humanized monoclonal antibody targeting interleukin-4 receptor alpha that blocks interleukin-4 and interleukin-13 signaling. This trial aimed to evaluate the efficacy and safety of CM310 in Chinese adults with moderate-to-severe AD.Methods::This multicenter, randomized, double-blind, placebo-controlled, phase 2b trial was conducted in 21 medical institutions in China from February to November 2021. Totally 120 eligible patients were enrolled and randomized (1:1:1) to receive subcutaneous injections of 300 mg CM310, 150 mg CM310, or placebo every 2 weeks for 16 weeks, followed by an 8-week follow-up period. The primary endpoint was the proportion of patients achieving ≥75% improvement in the Eczema Area and Severity Index (EASI-75) score from baseline at week 16. Safety and pharmacodynamics were also studied.Results::At week 16, the proportion of EASI-75 responders from baseline was significantly higher in the CM310 groups (70% [28/40] for high-dose and 65% [26/40] for low-dose) than that in the placebo group (20%[8/40]). The differences in EASI-75 response rate were 50% (high vs. placebo, 95% CI 31%–69%) and 45% (low vs. placebo, 95% CI 26%–64%), with both P values <0.0001. CM310 at both doses also significantly improved the EASI score, Investigator’s Global Assessment score, daily peak pruritus Numerical Rating Scale, AD-affected body surface area, and Dermatology Life Quality Index compared with placebo. CM310 treatment reduced levels of thymus and activation-regulated chemokine, total immunoglobulin E, lactate dehydrogenase, and blood eosinophils. The incidence of treatment-emergent adverse events (TEAEs) was similar among all three groups, with the most common TEAEs reported being upper respiratory tract infection, atopic dermatitis, hyperlipidemia, and hyperuricemia. No severe adverse events were deemed to be attributed to CM310. Conclusion::CM310 at 150 mg and 300 mg every 2 weeks demonstrated significant efficacy and was well-tolerated in adults with moderate-to-severe AD.Trial Registration::ClinicalTrials.gov, NCT04805411.

Objective:To establish a matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) assay for the identification of common Salmonella serotypes and provide etiology evidence for the early precise treatment of salmonellosis. Methods:A total of 500 strains were collected from different regions and sources and five predominant Salmonella serotypes ( Salmonella Typhi , Salmonella Paratyphi A , Salmonella Typhimurium , Salmonella Enteritidis , and Salmonella Indiana) of each strain was identified by agglutination test and whole-genome sequencing. The protein complex of the strains was extracted by using optimized pretreatment method to establish the fingerprint database of peptides for each Salmonella serotype. The new serotyping assays were established by using different modules based on the mass spectra database. Additional 155 strains with specified serotypes and variant sources were used to test and evaluate the accuracy of the new typing assays. Results:Five MALDI-TOF MS databases were established, and two new serotyping assays were established via peptide fingerprint mapping/matching and machine learning of the neuronal convolutional network respectively based on the databases. The results showed that the fingerprint matching approach could quickly identify five common Salmonella serotypes in clinical practice compared with the machine learning method, the accuracy of fingerprint matching assay to identify five Salmonella serotypes reached 100.00% and the serotyping can be conducted within a short time (15-20 minutes) and had a good reproducibility, while the machine learning method could not completely identify these serotypes. Moreover the sensitivity and specificity of fingerprint matching assay were all 100.00% respectively, while they were only 82.23% and 95.81% for machine learning method. Conclusion:The established Salmonella serotyping assay based on MALDI-TOF MS in this study can easily, rapidly and accurately identify different serotypes of Salmonella.