Objective: To identify the structure of the complementarity determining region (CDRs), the V(D)J rearrangement and somatic hypermutational characteristics of the heavy and light chains of a red blood cell blood group-specific monoclonal antibody. Methods: The hybridoma cell line secreting human IgM κ monoclonal anti-P antibody was used as the research object. Total RNA was extracted from cultured monoclonal cell line, and cDNA was obtained by reverse transcription PCR (RT-PCR) using random hexamers primers. It was then amplified and sequenced using primers specific for variable regions of the immunoglobulin heavy and light chains encoding the anti-P antibody. The sequences were aligned against the NCBI database using online Immunoglobulin BLAST (Ig-BLAST) tool. Results: The study determined the structure of the CDRs and framework regions (FRs) of the variable regions of human monoclonal anti-P immunoglobulin, as well as the characteristics of V(D)J rearrangement. Moreover, the closest VH, VD, and VJ germline alleles for the heavy chain and VL and VJ germline alleles for the light chain were also identified. The IgH gene rearrangment pattern of the monoclonal anti-P was IGHV6-1 * 01—IGHD5-18 02—IGHJ4 02 and IgL gene was IGκV1-12 01—IGκJ3 01. Nine base mutations occurred within the germline gene IGHV6-1 01 in variable region of heavy chain, whereas 5 base mutations were found in the germline gene IGκV1-12 01 in variable region of light chain, respectively. Conclusion: This study characterized the CDR structure in monoclonal antibody cell line targeting the high-frequency red blood cell P antigen, and provided a foundation for the construction of recombinant antibody expressing plasmids and transfomation of the immunoglobulin type.

Objective: To construct gene recombinant expression plasmids of human anti-P antibody with IgG1 and kappa chain based on the human hybridoma cell line. Methods: Starting from the specific RT-PCR products encoding the variable regions of the IgH chain and IgL chain of the anti-P monoclonal cell line, appropriate restriction enzyme digestion sites were introduced at both ends of the VH and VL fragments through nested PCR. The plasmids carrying the antibody constant region and the nested PCR products of VH and VL were ligated by the action of T4 ligase and subsequently transferred into competent E. coli DH5ɑ, and positive clones were selected in the antibiotic resistant LB medium. After sequence confirmation, recombinant plasmids DNA were transfected into HEK293T cells, and the recombinant antibody obtained in the culture supernatant. The characteristics of recombinant expression antibodies were determined by using rapid antibody isotying kit, serological agglutination tests and flow cytometry. Results: Recombinant gene expression vectors, pFUSEss-CHIg-hG1+VH, pFUSE2ss-CLIg-hκ+VL, were successfully constructed. Human IgG1 kappa light chain antibodies were detected in the supernatant of HEK293T cells transient transfected with recombinant plasmids. After the supernatant was ultra-filtered and concentrated, it could cause agglutination reactions with P antigen-positive red blood cells. The mean fluorescence intensity (MFI) of the reaction between recombinant antibodies and antigen-positive red blood cells in flow cytometry experiments was higher than that of antigen-negative red blood cells. Conclusion: The experimental study on the conversion of red blood group antibody types by genetic engineering technology represents a beneficial exploration towards establishing a feasible technical route for the development of genetic recombination and modification of antibodies reagent.

ObjectiveTo explore the seasonal yin-yang waxing and waning characteristics of emotional symptoms in patients with bipolar disorder （BD） based on modern psychological symptom networks. MethodsClinical data of 3445 patients with BD were retrospectively collected and divided into a growth phase group （March to August） and a storage phase group （September to February of the following year） according to admission time. Ten symptom nodes were selected， including seven items from the Hamilton Depression Rating Scale （depressed mood， decreased work and interest， feelings of hopelessness， feelings of incapacity， difficulty falling asleep， restless sleep， and suicidal ideation） and three items from the Young Mania Rating Scale （elevated mood， increased activity/energy， and irritability）. The emotional symptom networks of the growth phase group and storage phase group were constructed using the EBICglasso model. Network comparison test （NCT） was used to compare network structural invariance （M）， global network strength invariance （S）， and differences in node centrality between the two groups. ResultsAmong the 3445 patients， 1604 were in the growth phase group and 1841 were in the storage phase group. After balancing covariates including admission year， admission mode， and episode type using inverse probability of treatment weighting （IPTW）， the emotional symptom networks of BD patients in the growth phase and storage phase groups showed similar overall structures， both presenting a two-cluster distribution composed of manic-related and depressive-related symptoms. No statistically significant difference was observed in network structure （M=0.103， P=0.181）. The global strength of the growth phase group （4.168） was slightly higher than 3.901 of the storage phase group， with no statistically significant difference （S=0.267， P=0.052）， suggesting that overall network connectivity remained relatively stable under the influence of seasonal qi dynamics. Node centrality analysis showed that depressed mood and increased activity/energy were common core nodes in both phases. Regarding directional changes， the strength of nodes including difficulty falling asleep， decreased interest， irritability， and increased activity showed a slight upward trend in the growth phase group， whereas the strength of suicidal ideation was slightly higher in the storage phase group； however， none of these differences reached statistical significance （P＞0.05）. ConclusionThe emotional symptom networks of BD patients remained generally stable between the growth and storage phases. Seasonal variations may induce only slight fluctuations in the centrality of certain symptoms but are insufficient to reconstruct the overall symptom network.

Objective: To investigate the longitudinal association between biological rhythm trajectories and the risk of anxiety, depression, and comorbid symptoms among college students, so as to provide a cumulative empirical basis for early psychiatric tracking and mental health warning systems. Methods: Using random cluster sampling method, a baseline survey was conducted from April to May 2019. One comprehensive university and one medical university were selected in Shangrao City, Jiangxi Province, and Hefei City, Anhui Province, respectively. A total of 1 029 first year college students were recruited as study participants, and four waves of longitudinal follow up were carried out over a period of two years. The Self rating of Biological Rhythm Disorder for Adolescents was used to assess college students biological rhythms, and using the dynamic data from the first two follow ups to construct the trajectory of biological rhythm changes. Mental health outcomes (anxiety and depressive symptoms) at the end of the follow up period were assessed using Generalized Anxiety Disorder-7 and Patient Health Questionnaire-9. Multivariable Logistic regression models were employed to evaluate the independent predictive value of distinct lifestyle rhythm trajectories on the detection risk of long term anxiety, depression, and their comorbid symptoms. Results: The prevalence rates of anxiety, depression, and comorbid symptoms among participants were 23.5%, 22.6%, and 16.7%, respectively. Multivariable Logistic regression analysis showed that, after adjusting for confounding factors such as sex, major, smoking, and alcohol consumption, compared with the persistent low risk reference group of overall biological rhythm, the persistent high risk trajectory group of overall assessment had an increased risk of anxiety symptoms( OR=3.87, 95%CI =2.45-6.11), depressive symptoms( OR=3.18, 95%CI =1.98-5.10), and comorbid symptoms( OR=2.43, 95%CI =1.46-4.04)(all P ＜0.05).Among college students in the elevated overall assessment risk group, the risks of anxiety symptoms ( OR=1.97, 95%CI =1.22-3.17), depressive symptoms ( OR=2.13, 95%CI =1.33-3.42), and comorbid symptoms ( OR=1.81, 95%CI =1.07-3.06) were also increased (all P < 0. 05), and the various risks in the group with increased risks were also higher than those in the group with consistently low risks. Conclusions The dynamic deterioration and persistent disruption of college students lifestyle and behavioral rhythms serve as strong early warning indicators for long term anxiety and depressive symptoms. Mental health screening in colleges and universities should incorporate multi timepoint dynamic tracking of behavioral rhythms, and circadian rhythm regulation should be regarded as a core target for group level mental health interventions.

Objective:To analyze serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 88 CSU patients were enrolled from Guangzhou Dermatology Hospital from January 2022 to December 2024. All patients received antihistamine treatment according to the "Guideline for diagnosis and treatment of urticaria in China (2022) " . Based on the 7-day urticaria activity score (UAS7) after 4-week treatment, these patients were divided into an antihistamine-sensitive group and an antihistamine-resistant group. Serum levels of inflammatory factors at the initial visit were analyzed using the Olink-targeted proteomics technology. Specific biomarkers associated with antihistamine resistance were identified, and Spearman correlation analysis was carried out to analyze correlations among differentially expressed proteins. A logistic regression model was constructed based on the Olink proteomics data, and the predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis. Measurement data were expressed as mean ± standard deviation or median (lower quartile, upper quartile) .Results:The 88 CSU patients aged 12 to 81 (38.78 ± 13.89) years, with the disease duration being 18 (7.00, 60.00) months. There were 32 patients in the antihistamine-sensitive group and 56 in the antihistamine-resistant group. No significant differences were found between the two groups in terms of age, disease duration, gender, or history of allergic diseases (all P > 0.05) . After 4 weeks of antihistamine treatment, the UAS7 score was significantly higher in the antihistamine-resistant group (25.00 [15.25, 31.00] points) than in the antihistamine-sensitive group (0.50 [0.00, 4.00] points; Z = -7.08, P < 0.001) . The Olink-targeted proteomics identified 5 differentially expressed proteins between the two groups: compared with the antihistamine-sensitive group, the antihistamine-resistant group showed > 2-fold higher expression of fibroblast growth factor 19 (FGF19) , interleukin-15 receptor subunit alpha (IL-15RA) , eotaxin (CCL11) , and monocyte chemoattractant protein-1 (MCP-1) ; in contrast, the expression of sulfotransferase 1A1 (ST1A1) in the antihistamine-sensitive group was 2.54 times that in the antihistamine-resistant group. Among the differentially expressed proteins, MCP-1 showed the highest specificity (1.00) for predicting antihistamine resistance, followed by CCL11 (0.97) . Correlation analysis revealed a significant positive correlation between MCP-1 and CCL11, and a significant negative correlation between IL-15RA and ST1A1. ROC curve analysis showed that MCP-1 and CCL11 had area under the curve values of 0.603 and 0.630, respectively, in predicting antihistamine resistance. Conclusion:MCP-1 and CCL11 may be potential biomarkers for predicting antihistamine resistance in CSU patients.

Objective To explore the prescription and preparation technology of compound Bupleurum suppository and draft its quality standard.Methods The volatile oil of Bupleurum was extracted by steam distillation,and the compound Bupleurum-based suppository was prepared by mixing the volatile oil with taurine using the melting method.The quality standard of the preparation was formulated according to the quality inspection items of the general rule 0107 of the Pharmacopoeia of the People's Republic of China(2020 Edition,Volume IV);The contents of n-hexanoic acid and n-heptanoic acid in the preparation were determined by gas chromatography-mass spectrometry(GC-MS).The content of taurine in the preparation was determined by high-performance liquid chromatography(HPLC).Results The optimized distillation time of the volatile oil was 1.5 h,The linear ranges of n-hexanoic acid,n-heptanoic acid and taurine are 23.175 0-115.875 0 μg·mL-1(R2=0.999 4),4.590 0-68.850 0 μg·mL-1(R2=0.998 9)and 15-125 μg·mL-1(R2=0.999 6),respectively.The average recoveries are 99.83%,101.96%,98.89%with RSDs of 2.84%,1.36%,2.88%,respectively.The RSDs of precision,stability,and repeatability tests are less than 5%.The properties,mass difference,melting time,microbial limit,and stability assessment of the preparationwere all in accordance with the Pharmacopoeia of the People's Republic of China.Conclusion Compound Bupleurum suppository preparation technology is reasonable and feasible,which meets the quality standard.

Objective In response to the clinical needs for personalized wrist orthoses,a topological optimization design method was proposed to achieve an integrated macro-and micro-structural optimization of a personalized,lightweight,and comfortable wrist orthosis.Methods A composite biomechanical finite element model of the wrist orthosis and upper limb was established to quantify the effects of the orthosis geometry on its fixation performance and comfort.A multi-condition topological optimization and microstructure design approach was employed to optimize the non-load-bearing areas of the orthosis.The orthosis was manufactured using three-dimensional(3D)-printed polyether ether ketone(PEEK),and the feasibility of the design was validated.Results While maintaining mechanical strength,the weight of the 3D-printed PEEK orthosis was reduced by 28％compared to the traditional orthoses.Both the pressure at the skin contact interface and the results of a subjective questionnaire indicated that test subjects experienced a high level of comfort wearing the orthosis.Conclusions The orthosis design achieved personalization,lightweight structure,and high comfort while ensuring mechanical strength and fixation performance.

Objective In response to the clinical needs for personalized wrist orthoses,a topological optimization design method was proposed to achieve an integrated macro-and micro-structural optimization of a personalized,lightweight,and comfortable wrist orthosis.Methods A composite biomechanical finite element model of the wrist orthosis and upper limb was established to quantify the effects of the orthosis geometry on its fixation performance and comfort.A multi-condition topological optimization and microstructure design approach was employed to optimize the non-load-bearing areas of the orthosis.The orthosis was manufactured using three-dimensional(3D)-printed polyether ether ketone(PEEK),and the feasibility of the design was validated.Results While maintaining mechanical strength,the weight of the 3D-printed PEEK orthosis was reduced by 28％compared to the traditional orthoses.Both the pressure at the skin contact interface and the results of a subjective questionnaire indicated that test subjects experienced a high level of comfort wearing the orthosis.Conclusions The orthosis design achieved personalization,lightweight structure,and high comfort while ensuring mechanical strength and fixation performance.

Objective:To analyze serum inflammatory factors associated with antihistamine resistance in patients with chronic spontaneous urticaria (CSU) .Methods:A total of 88 CSU patients were enrolled from Guangzhou Dermatology Hospital from January 2022 to December 2024. All patients received antihistamine treatment according to the "Guideline for diagnosis and treatment of urticaria in China (2022) " . Based on the 7-day urticaria activity score (UAS7) after 4-week treatment, these patients were divided into an antihistamine-sensitive group and an antihistamine-resistant group. Serum levels of inflammatory factors at the initial visit were analyzed using the Olink-targeted proteomics technology. Specific biomarkers associated with antihistamine resistance were identified, and Spearman correlation analysis was carried out to analyze correlations among differentially expressed proteins. A logistic regression model was constructed based on the Olink proteomics data, and the predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve analysis. Measurement data were expressed as mean ± standard deviation or median (lower quartile, upper quartile) .Results:The 88 CSU patients aged 12 to 81 (38.78 ± 13.89) years, with the disease duration being 18 (7.00, 60.00) months. There were 32 patients in the antihistamine-sensitive group and 56 in the antihistamine-resistant group. No significant differences were found between the two groups in terms of age, disease duration, gender, or history of allergic diseases (all P > 0.05) . After 4 weeks of antihistamine treatment, the UAS7 score was significantly higher in the antihistamine-resistant group (25.00 [15.25, 31.00] points) than in the antihistamine-sensitive group (0.50 [0.00, 4.00] points; Z = -7.08, P < 0.001) . The Olink-targeted proteomics identified 5 differentially expressed proteins between the two groups: compared with the antihistamine-sensitive group, the antihistamine-resistant group showed > 2-fold higher expression of fibroblast growth factor 19 (FGF19) , interleukin-15 receptor subunit alpha (IL-15RA) , eotaxin (CCL11) , and monocyte chemoattractant protein-1 (MCP-1) ; in contrast, the expression of sulfotransferase 1A1 (ST1A1) in the antihistamine-sensitive group was 2.54 times that in the antihistamine-resistant group. Among the differentially expressed proteins, MCP-1 showed the highest specificity (1.00) for predicting antihistamine resistance, followed by CCL11 (0.97) . Correlation analysis revealed a significant positive correlation between MCP-1 and CCL11, and a significant negative correlation between IL-15RA and ST1A1. ROC curve analysis showed that MCP-1 and CCL11 had area under the curve values of 0.603 and 0.630, respectively, in predicting antihistamine resistance. Conclusion:MCP-1 and CCL11 may be potential biomarkers for predicting antihistamine resistance in CSU patients.

The method of promoting blood circulation and removing blood stasis holds a significant position in the theoretical frame-work of traditional Chinese medicine(TCM)for cancer treatment.However,the impact of blood-activating and stasis-eliminating herbs on tumor metastasis remains a subject of clinical uncertainty,which has drawn considerable attention to research on their effects.Based on TCM's understanding of the etiology and pathogenesis of tumors,this article elaborates on the molecular mechanisms through which blood-activating and stasis-eliminating Chinese herbs and their active components influence tumor metastasis.This in-cludes their roles in affecting tumor angiogenesis,inducing normalization of tumor blood vessels,and interfering with the Warburg effect in tumor cells.The findings provide a scientific basis for the anti-tumor theory of the blood-activating and stasis-eliminating ap-proach.