Allergic rhinitis (AR), a globally prevalent immune-mediated inflammatory condition, is still an incurable disease. In the present study, we have validated the impact of the Kelch-like ECH associated protein 1 (Keap1)-related oxidative stress and inflammatory response in clinical AR patient peripheral blood and nasal swab samples, emphasizing the biological relevance of Keap1 and AR. Targeting Keap1 -nuclear factor erythroid 2-related factor 2 (Nrf2) related anti-oxidative stress may be effective for AR intervention. Drawing inspiration from the Keap1 homodimerization and the E3 ligase characteristics, we herein present a design of novel bivalent molecules for chemical knockdown of Keap1. For the first time, we characterized ternary complexes of Keap1 dimer and one molecule of bivalent compounds. The best bivalent molecule 8 encompasses robust capacity to degrade Keap1 as a homoPROTAC^KEAP1. It efficaciously suppresses inflammatory cytokines in extensively different cells, including human nasal epithelial cells. Moreover, in an AR mouse model, we confirmed that the chemical degradation induced by homoPROTAC^KEAP1 led to therapeutic benefits in managing AR symptoms, oxidative stress and inflammation. In summary, our findings underscore the efficacy of targeting the Keap1 system through the homoPROTAC-ing technology as an innovative and promising treatment strategy for the incurable allergic disorders.

A 29-year-old man visited Zhongshan Hospital, Fudan University in December 2021. The patient presented with recurrent coughing, sputum, and wheezing, high level of serum total IgE, positive aspergillus fumigatus-specific IgE and extremely severe mixed ventilatory dysfunction. These features and thoracic CT results scan showed bronchiectasis and allergic bronchopulmonary aspergillosis. In consideration of his clinical characteristics, including low levels of fractional exhaled nitric oxide (FeNO), and nasal nitric oxide (nNO), persistent cough after birth, consanguineous marriage of his parents, etc. we ratiocinated a possibility of hereditary diseases, especially primary ciliary dyskinesia (PCD). From this perspective, whole exome sequencing (WES) was performed and the diagnosis of PCD was ultimately confirmed.

Objective: To investigate the correlation between tumor size, tumor location, and prognosis in patients with early-stage endometrial cancer (EC) receiving adjuvant radiotherapy. Methods: Data of patients who had been treated for stage I–II EC from March 1999 to September 2017 in 13 tertiary hospitals in China was screened. Cox regression analysis was performed to investigate associations between tumor size, tumor location, and other clinical or pathological factors with cancer-specific survival (CSS) and distant metastasis failurefree survival (DMFS). The relationship between tumor size as a continuous variable and prognosis was demonstrated by restricted cubic splines. Prognostic models were constructed as nomograms and evaluated by Harrell’s C-index, calibration curves and receiver operating characteristic (ROC) curves. Results: The study cohort comprised 805 patients with a median follow-up of 61 months and a median tumor size of 3.0 cm (range 0.2–15.0 cm). Lower uterine segment involvement (LUSI) was found in 243 patients (30.2%). Tumor size and LUSI were identified to be independent prognostic factors for CSS. Further, tumor size was an independent predictor of DMFS. A broadly positive relationship between poor survival and tumor size as a continuous variable was visualized in terms of hazard ratios. Nomograms constructed and evaluated for CSS and DMFS had satisfactory calibration curves and C-indexes of 0.847 and 0.716, respectively. The area under the ROC curves for 3- and 5-year ROC ranged from 0.718 to 0.890. Conclusion Tumor size and LUSI are independent prognostic factors in early-stage EC patients who have received radiotherapy. Integrating these variables into prognostic models would improve predictive ability.

Objective: To investigate the correlation between tumor size, tumor location, and prognosis in patients with early-stage endometrial cancer (EC) receiving adjuvant radiotherapy. Methods: Data of patients who had been treated for stage I–II EC from March 1999 to September 2017 in 13 tertiary hospitals in China was screened. Cox regression analysis was performed to investigate associations between tumor size, tumor location, and other clinical or pathological factors with cancer-specific survival (CSS) and distant metastasis failurefree survival (DMFS). The relationship between tumor size as a continuous variable and prognosis was demonstrated by restricted cubic splines. Prognostic models were constructed as nomograms and evaluated by Harrell’s C-index, calibration curves and receiver operating characteristic (ROC) curves. Results: The study cohort comprised 805 patients with a median follow-up of 61 months and a median tumor size of 3.0 cm (range 0.2–15.0 cm). Lower uterine segment involvement (LUSI) was found in 243 patients (30.2%). Tumor size and LUSI were identified to be independent prognostic factors for CSS. Further, tumor size was an independent predictor of DMFS. A broadly positive relationship between poor survival and tumor size as a continuous variable was visualized in terms of hazard ratios. Nomograms constructed and evaluated for CSS and DMFS had satisfactory calibration curves and C-indexes of 0.847 and 0.716, respectively. The area under the ROC curves for 3- and 5-year ROC ranged from 0.718 to 0.890. Conclusion Tumor size and LUSI are independent prognostic factors in early-stage EC patients who have received radiotherapy. Integrating these variables into prognostic models would improve predictive ability.

Objective: To investigate the correlation between tumor size, tumor location, and prognosis in patients with early-stage endometrial cancer (EC) receiving adjuvant radiotherapy. Methods: Data of patients who had been treated for stage I–II EC from March 1999 to September 2017 in 13 tertiary hospitals in China was screened. Cox regression analysis was performed to investigate associations between tumor size, tumor location, and other clinical or pathological factors with cancer-specific survival (CSS) and distant metastasis failurefree survival (DMFS). The relationship between tumor size as a continuous variable and prognosis was demonstrated by restricted cubic splines. Prognostic models were constructed as nomograms and evaluated by Harrell’s C-index, calibration curves and receiver operating characteristic (ROC) curves. Results: The study cohort comprised 805 patients with a median follow-up of 61 months and a median tumor size of 3.0 cm (range 0.2–15.0 cm). Lower uterine segment involvement (LUSI) was found in 243 patients (30.2%). Tumor size and LUSI were identified to be independent prognostic factors for CSS. Further, tumor size was an independent predictor of DMFS. A broadly positive relationship between poor survival and tumor size as a continuous variable was visualized in terms of hazard ratios. Nomograms constructed and evaluated for CSS and DMFS had satisfactory calibration curves and C-indexes of 0.847 and 0.716, respectively. The area under the ROC curves for 3- and 5-year ROC ranged from 0.718 to 0.890. Conclusion Tumor size and LUSI are independent prognostic factors in early-stage EC patients who have received radiotherapy. Integrating these variables into prognostic models would improve predictive ability.

Objective Based on the acupuncture literature data set,a named entity recognition method of acupuncture literature based on dictionary and deep learning model is proposed to improve the effect of acupuncture literature entity recognition.Methods In this paper,the entity recognition methods of acupuncture literature were explored,and the vector representation effects based on word2vec and ALBERTmodels and ALBERT+domain dictionary were compared.On this basis,a named entity extraction method combining domain dictionary and ALBERT-BiLSTM-CRF deep learning model was proposed.Results According to the extraction effect of three model entities,the P value of word2vec-BiLSTM-CRF is 81.82%,the R value is 70.76%,and the F1 value is 75.48%;ALBERT-BiLSTM-CRF has an P value of 83.10%,a R value of 81.14%and a F1 value of 81.98%."ALBERT-BiLSTM-CRF+dictionary"is 92.57%,91.42%and 91.85%.In terms of entity categories,the top three entities with the highest accuracy rate are acupuncture,needling and needling site,which are 98%,ninety-seven percent and ninety-seven percent respectively,while the three entities with the lowest accuracy rate are acupoint matching corresponding symptoms,disease names and sample size,which are 50.00%,50.68%and 52.43%respectively.Conclusion Compared with the original ALBERT-BiLSTM-CRF model,the precision rate,recall rate and F1 value increased after adding the dictionary,and the convergence speed of the model after adding the dictionary was twice that without adding the dictionary.It is effective to use"ALBERT-BiLSTM-CRF+dictionary"model to identify named entities in acupuncture literature.

Reduced chemotactic migration of polymorphonuclear neutrophil (PMN) in sepsis patients leads to decreased bacterial clearance and accelerates the progression of sepsis disease. Quantification of PMN chemotaxis in sepsis patients can help characterize the immune health of sepsis patients. Microfluidic microarrays have been widely used for cell chemotaxis analysis because of the advantages of low reagent consumption, near-physiological environment, and visualization of the migration process. Currently, the study of PMN chemotaxis using microfluidic chips is mainly limited by the cumbersome cell separation operation and low throughput of microfluidic chips. In this paper, we first designed an inertial cell sorting chip to achieve label-free separation of the two major cell types by using the basic principle that leukocytes (mainly granulocytes, lymphocytes and monocytes) and erythrocytes move to different positions of the spiral microchannel when they move in the spiral microchannel under different strength of inertial force and Dean's resistance. Subsequently, in this paper, we designed a multi-channel cell migration chip and constructed a microfluidic PMN inertial label-free sorting and chemotaxis analysis platform. The inertial cell sorting chip separates leukocyte populations and then injects them into the multi-channel cell migration chip, which can complete the chemotaxis test of PMN to chemotactic peptide (fMLP) within 15 min. The remaining cells, such as monocytes with slow motility and lymphocytes that require pre-activation with proliferative culture, do not undergo significant chemotactic migration. The test results of sepsis patients ( n=6) and healthy volunteers ( n=3) recruited in this study showed that the chemotaxis index (CI) and migration velocity ( v) of PMN from sepsis patients were significantly weaker than those from healthy volunteers. In conclusion, the microfluidic PMN inertial label-free sorting and chemotaxis analysis platform constructed in this paper can be used as a new tool for cell label-free sorting and migration studies.
Humans ; Chemotaxis ; Neutrophils/metabolism* ; Microfluidics ; Cell Movement ; Sepsis/metabolism*

Diabetic kidney disease (DKD) is one of the main complications of diabetes, and also the leading cause of the end-stage renal disease (ESRD).The main clinical manifestations are albuminuria and decreased glomerular filtration rate.DKD seriously affects the quality of life of sufferers and places a huge financial burden on them. Traditional Chinese medicine (TCM) has accumulated rich experience in treating DKD.This paper analyzed and summarized the recent treatment of DKD with traditional Chinese medicine from three aspects: active ingredients of TCM, TCM pairs and TCM prescriptions, so as to provide new ideas for the majority of researchers in experimental research.

OBJECTIVE To establish a high-performance liquid chromatographic method for the detection of 10 related substances in 20(S)-protopanaxadiol bulk drug. METHODS Used an ACQUITY UPLC BEH C18 chromatographic column with ultrapure water(A)-acetonitrile(B) as mobile phase. The flow rate was 0.20-0.25 mL·min-1, the detection wavelength was set at 203 nm, the column temperature was maintained at 35℃, and the injection volume was 5 μL. RESULTS 20(S)-protopanaxadiol and various impurities had reached an effective separation with a good linear relationship; the sample recovery(n=9) was ranging from 94.8% to 102.2%. The RSD values were <2.0%; the intra-day and inter-day precision RSD values were<2.0%, with a good precision; the related substances C, F, H, and I were stable in solution with RSD values<2.0% in 48 h at the room temperature; while impurities A, B, D, E, G and J were unstable under the same condition with RSD>2.0%. CONCLUSION The method is simple, sensitive and accurate, which can simultaneously determine 10 related substances in API 20(S)-protopanaxadiol, which can effectively identify the relevant substances in API and provide reference for the improvement of its production process and quality control.

Objective:To investigate the expression of soluble T cell immunoglobulin and mucin domain-3 (Tim-3) in peripheral blood of patients with pancreatic cancer and its diagnostic value in combination with serum Carbohydrate antigen 19-9 (CA19-9) .Methods:106 newly diagnosed pancreatic cancer patients and 65 age and sex matched healthy individuals were enrolled. Tim-3 concentration was quantitatively determined by enzyme-linked immunosorbent assay (ELISA). According to the expression levels of soluble Tim-3 and serum CA19-9, a binary logistic regression model of receiver operating characteristic (ROC) curve was established to compare the diagnostic effects of serum CA19-9 and soluble Tim-3 alone or combined with the two tests.Results:The levels of soluble Tim-3 in the pancreatic cancer group were significantly higher than those in the healthy control group ( P<0.001). The expression level of soluble Tim-3 was significantly higher in patients with stage III-IV pancreatic cancer than in patients with stage I-II ( P=0.003). The AUC of soluble Tim-3 diagnosis for stage I-II pancreatic cancer was 0.856 (95%CI: 0.765 to 0.992 P<0.001), Serum CA19-9 The AUC used for the stage I-II pancreatic cancer diagnosis was 0.862 (95%CI: 0.772 to 0.926 P<0.001), The AUC for the combined diagnosis was 0.949 (95%CI: 0.880 - 0.985 P<0.001) ; In a healthy population and in patients with stage III-IV pancreatic cancer, the AUC of soluble T I I-IV pancreatic cancer in stage III was 0.927 (95%CI: 0.873 to 0.963 P<0.001), the AUC of serum CA19-9 used for the diagnosis of stage III-IV pancreatic cancer was 0.933 (95%CI: 0.881 to 0.968 P<0.001), the AUC for the combined diagnosis was 0.989 (95%CI: 0.956 to 0.999 P<0.001) . Conclusions:The combination of soluble Tim-3 and serum CA19-9 can improve the diagnostic rate of pancreatic cancer patients.