To investigate the changes in peripheral blood immune cells before and after the onset of septic shock in patients with malignant tumors, and to analyze the relationship between these immune cells and patient prognosis.

Objective To observe the effects of Qigui Buxue Decoction combined with timed press-needle therapy on myelosuppression and cancer-related fatigue in chemotherapy patients with non-small cell lung cancer(NSCLC)of lung-spleen qi deficiency type.Methods A total of 124 NSCLC patients with lung-spleen qi deficiency type admitted to the Department of Radiotherapy and Chemotherapy at Cangzhou Integrated Traditional Chinese and Western Medicine Hospital in Hebei Province from January 2022 to June 2024 were selected as the study subjects.The patients were randomly divided into an observation group and a control group using a random number table,with 62 cases in each group.Both groups received platinum-based two-drug combination chemotherapy.The control group received timed press-needle therapy in addition to chemotherapy,while the observation group received Qigui Buxue Decoction in addition to the control group's treatment.The treatment course was 3 weeks,with a total of 2 courses.After 2 courses of treatment,changes in blood routine,lymphocyte subsets(CD3+,CD4+,CD8+,NK cells),CD4+/CD8+ratio,and the incidence of myelosuppression were observed.Changes in Piper Fatigue Scale and Karnofsky Performance Scale(KPS)scores before and after treatment were compared between the two groups.Results(1)After treatment,the white blood cell count in the observation group significantly improved(P＜0.05),and the observation group showed significantly better improvement in white blood cell count compared to the control group,with a statistically significant difference(P＜0.05).(2)After treatment,the levels of CD3+,CD4+,CD4+/CD8+,and NK cells in both groups significantly improved(P＜0.05),and the observation group showed significantly better improvement in these levels compared to the control group,with a statistically significant difference(P＜0.05).(3)The incidence of myelosuppression in the observation group was 58.06%(36/62),while it was 77.42%(48/62)in the control group.The incidence of myelosuppression in the observation group was significantly lower than that in the control group,with a statistically significant difference(P＜0.05).(4)After treatment,the Piper Fatigue Scale scores,including behavioral,emotional,physical,and total scores,significantly improved in both groups(P＜0.05),and the observation group showed significantly better improvement in these scores compared to the control group,with a statistically significant difference(P＜0.05).The cognitive scores of the Piper Fatigue Scale showed slight improvement in both groups,but there was no statistically significant difference compared to before treatment(P＞0.05).(5)After treatment,the KPS scores and TCM syndrome scores significantly improved in both groups(P＜0.05),and the observation group showed significantly better improvement in these scores compared to the control group,with a statistically significant difference(P＜0.05).Conclusion Qigui Buxue Decoction combined with timed press-needle therapy can effectively improve myelosuppression,enhance immune function,and alleviate cancer-related fatigue in NSCLC patients with lung-spleen qi deficiency type after chemotherapy,thereby improving their quality of life.This approach is worthy of clinical promotion.

The identification and optimization of mutations in nanobodies are crucial for enhancing their therapeutic potential in disease prevention and control. However, this process is often complex and time-consuming, which limit its widespread application in practice. In this study, we developed a workflow, named Evolutionary-Nanobody (EvoNB), to predict key mutation sites of nanobodies by combining protein language models (PLMs) and molecular dynamic (MD) simulations. By fine-tuning the ESM2 model on a large-scale nanobody dataset, the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced. The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies. Additionally, we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations. MD simulations analyzed the energy changes caused by these mutations to predict their impact on binding affinity to the targets. The results showed that multiple mutations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target, further validating the potential of this workflow for designing and optimizing nanobody mutations. Additionally, sequence-based predictions are generally less dependent on structural absence, allowing them to be more easily integrated with tools for structural predictions, such as AlphaFold 3. Through mutation prediction and systematic analysis of key sites, we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes. The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

This study investigated the full-genome molecular characteristics of a rotavirus vaccine-derived strain,G1P[8]geno-type A group rotavirus RVA/Human-wt/CHN/HN1140/2021/G1P[8](referred to as HN1140).The gene fragments of the HN1140 strain were amplified with reverse transcription-polymerase chain reaction(RT-PCR)combined with whole-genome primers to obtain the full genome sequence.Genotyping was performed with the online genotyping tool RotaC 2.0,and similarity and genetic evolution analyses for each gene segment were conducted in DNAstar5.1 and MEGA11.0 software.The genotype of the HN1140 strain was deter-mined to be G1-P[8]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis demonstrated that all 11 genomic segments clus-tered closely with the RotaTeq vaccine strains,sharing 99.7%-100%nucleotide sequence similarity.Notably,VP1,VP2,VP6,and NSP2-NSP5 segments showed 100%nucleotide identity with RotaTeq strains.Comparative genomic analysis identified 13 nucleotide and 8 amino acid substitutions between HN1140 and RotaTeq strains,localized within the VP7,VP4,VP1,VP2,VP3,and NSP1 segments.The HN1140 strain exhibited the genotype G1-P[8]-A3-T6-H3,which was consistent with the typical profile of a vaccine-derived reassortant.This strain demonstrated high genetic similarity to RotaTeq vaccine strains,with nucleotide sequence identity ranging from 99.7%to 100%.These findings suggested that HN1140 evolved from RotaTeq vaccine strains through genetic reassortment.

The identification and optimization of mutations in nanobodies are crucial for enhancing their thera-peutic potential in disease prevention and control.However,this process is often complex and time-consuming,which limit its widespread application in practice.In this study,we developed a work-flow,named Evolutionary-Nanobody(EvoNB),to predict key mutation sites of nanobodies by combining protein language models(PLMs)and molecular dynamic(MD)simulations.By fine-tuning the ESM2 model on a large-scale nanobody dataset,the ability of EvoNB to capture specific sequence features of nanobodies was significantly enhanced.The fine-tuned EvoNB model demonstrated higher predictive accuracy in the conserved framework and highly variable complementarity-determining regions of nanobodies.Additionally,we selected four widely representative nanobody-antigen complexes to verify the predicted effects of mutations.MD simulations analyzed the energy changes caused by these mu-tations to predict their impact on binding affinity to the targets.The results showed that multiple mu-tations screened by EvoNB significantly enhanced the binding affinity between nanobody and its target,further validating the potential of this workflow for designing and optimizing nanobody mutations.Additionally,sequence-based predictions are generally less dependent on structural absence,allowing them to be more easily integrated with tools for structural predictions,such as AlphaFold 3.Through mutation prediction and systematic analysis of key sites,we can quickly predict the most promising variants for experimental validation without relying on traditional evolutionary or selection processes.The EvoNB workflow provides an effective tool for the rapid optimization of nanobodies and facilitates the application of PLMs in the biomedical field.

Objective:To develop and validate the reliability and validity of the care giver assessment via observation (CGAO) in general hospital .Methods:From July 4, 2022 to June 24, 2023, a total of 120 adult inpatients with somatic diseases in Peking Union Medical College Hospital were selected by cluster sampling. All patients completed the CGAO, union physio-psycho-social assessment questionnaire (UPPSAQ-70) and patient health questionnaire-9 item (PHQ-9) assessment simultaneously. Exploratory factor analysis and item response theory analysis were used to explore the structural validity of CGAO by SPSS 26.0 software.The symptoms items and suicide risk assessed by UPPSAQ-70 and PHQ-9 were used as criteria to verify criterion validity.Results:Through exploratory factor analysis, a single-factor model could be constructed. The analysis based on item response theory suggested that it had a good fit with the single-factor stepwise response model ( χ2/ df=1.307, RMSEA=0.051, CFI=0.986, TLI=0.983). The CGAO total score was significantly positively correlated with the total scores of PHQ-9 and UPPSAQ-70 ( r=0.639, 0.518, both P<0.001). The Cronbach's α coefficient of the CGAO full scale was 0.735. Conclusion:CGAO has good reliability and validity in evaluating mental behavior of patients, and is suitable for early recognition of mental behavior abnormalities of inpatients in general hospitals.

This study was aimed at analyzing the epidemiological and drug resistance characteristics of tuberculosis at a desig-nated tuberculosis hospital in Hunan Province in 2024.Patients diagnosed with TB at the hospital between April and October 2024 were included in the study.Demographic data,clinical information,and drug sensitivity test results were collected from the hospital′s electronic medical record system.Descriptive statistics,the chi-square test,and logistic regression were used to analyze the epidemic characteristics,drug resistance characteristics,and factors influencing tuberculosis.Whole genome sequencing of isolates was per-formed,and lineage classification and drug resistance gene mutations were detected with TB-Profiler.The male-to-female ratio was 2.72∶1,and the median age was 56(IQR:43-66)years.Among the 391 patients,most were farmers(46.8%,183/391)and were pri-marily from Changsha(41.1%,162/391).Significant differences were observed in sex and occupation between pulmonary tuberculosis(PTB)and extrapulmonary tuberculosis(EPTB).The overall prevalence of any type of drug resistance of tuberculosis was 33.25%,and the multidrug resistance TB(MDR-TB)and poly-drug resistance(PR-TB)rates were 14.23%and 4.35%,respectively.The re-sistance rates to rifampicin(RIF),isoniazid(INH),ethambutol(EMB),and streptomycin(SM)were 17.90%,22.25%,6.39%,and 20.20%,respectively.Multivariable logistic regression analysis indicated that both diabetes(OR:2.295,95%CI:1.082-4.866)and retreatment(OR:17.822,95%CI:8.343-38.072)were risk factors for developing MDR-TB.Lineage 2(L2)strains accounted for 64.40%(136/191),whereas lineage 4(L4)accounted for 28.80%(55/191).The most common drug resistance mutations were katG Ser315Thr(62.50%,20/32)for INH,rpoB Ser450Leu(50.00%,12/24)for RIF,embB Met306Val(55.56%,5/9)for EMB,and rpsL Lys43Arg(80.95%,34/42)for SM.In conclusion,TB drug resistance was found to be a serious problem at a designated tu-berculosis hospital in Hunan in 2024.Strengthening the treatment and management of patients infected with L2 strains,those with co-morbid diabetes,and retreatment cases is crucial for preventing and controlling the emergence of drug-resistant TB.

Objective:To develop and validate the reliability and validity of the care giver assessment via observation (CGAO) in general hospital .Methods:From July 4, 2022 to June 24, 2023, a total of 120 adult inpatients with somatic diseases in Peking Union Medical College Hospital were selected by cluster sampling. All patients completed the CGAO, union physio-psycho-social assessment questionnaire (UPPSAQ-70) and patient health questionnaire-9 item (PHQ-9) assessment simultaneously. Exploratory factor analysis and item response theory analysis were used to explore the structural validity of CGAO by SPSS 26.0 software.The symptoms items and suicide risk assessed by UPPSAQ-70 and PHQ-9 were used as criteria to verify criterion validity.Results:Through exploratory factor analysis, a single-factor model could be constructed. The analysis based on item response theory suggested that it had a good fit with the single-factor stepwise response model ( χ2/ df=1.307, RMSEA=0.051, CFI=0.986, TLI=0.983). The CGAO total score was significantly positively correlated with the total scores of PHQ-9 and UPPSAQ-70 ( r=0.639, 0.518, both P<0.001). The Cronbach's α coefficient of the CGAO full scale was 0.735. Conclusion:CGAO has good reliability and validity in evaluating mental behavior of patients, and is suitable for early recognition of mental behavior abnormalities of inpatients in general hospitals.

This study investigated the full-genome molecular characteristics of a rotavirus vaccine-derived strain,G1P[8]geno-type A group rotavirus RVA/Human-wt/CHN/HN1140/2021/G1P[8](referred to as HN1140).The gene fragments of the HN1140 strain were amplified with reverse transcription-polymerase chain reaction(RT-PCR)combined with whole-genome primers to obtain the full genome sequence.Genotyping was performed with the online genotyping tool RotaC 2.0,and similarity and genetic evolution analyses for each gene segment were conducted in DNAstar5.1 and MEGA11.0 software.The genotype of the HN1140 strain was deter-mined to be G1-P[8]-I2-R2-C2-M2-A3-N2-T6-E2-H3.Phylogenetic analysis demonstrated that all 11 genomic segments clus-tered closely with the RotaTeq vaccine strains,sharing 99.7%-100%nucleotide sequence similarity.Notably,VP1,VP2,VP6,and NSP2-NSP5 segments showed 100%nucleotide identity with RotaTeq strains.Comparative genomic analysis identified 13 nucleotide and 8 amino acid substitutions between HN1140 and RotaTeq strains,localized within the VP7,VP4,VP1,VP2,VP3,and NSP1 segments.The HN1140 strain exhibited the genotype G1-P[8]-A3-T6-H3,which was consistent with the typical profile of a vaccine-derived reassortant.This strain demonstrated high genetic similarity to RotaTeq vaccine strains,with nucleotide sequence identity ranging from 99.7%to 100%.These findings suggested that HN1140 evolved from RotaTeq vaccine strains through genetic reassortment.

This study was aimed at analyzing the epidemiological and drug resistance characteristics of tuberculosis at a desig-nated tuberculosis hospital in Hunan Province in 2024.Patients diagnosed with TB at the hospital between April and October 2024 were included in the study.Demographic data,clinical information,and drug sensitivity test results were collected from the hospital′s electronic medical record system.Descriptive statistics,the chi-square test,and logistic regression were used to analyze the epidemic characteristics,drug resistance characteristics,and factors influencing tuberculosis.Whole genome sequencing of isolates was per-formed,and lineage classification and drug resistance gene mutations were detected with TB-Profiler.The male-to-female ratio was 2.72∶1,and the median age was 56(IQR:43-66)years.Among the 391 patients,most were farmers(46.8%,183/391)and were pri-marily from Changsha(41.1%,162/391).Significant differences were observed in sex and occupation between pulmonary tuberculosis(PTB)and extrapulmonary tuberculosis(EPTB).The overall prevalence of any type of drug resistance of tuberculosis was 33.25%,and the multidrug resistance TB(MDR-TB)and poly-drug resistance(PR-TB)rates were 14.23%and 4.35%,respectively.The re-sistance rates to rifampicin(RIF),isoniazid(INH),ethambutol(EMB),and streptomycin(SM)were 17.90%,22.25%,6.39%,and 20.20%,respectively.Multivariable logistic regression analysis indicated that both diabetes(OR:2.295,95%CI:1.082-4.866)and retreatment(OR:17.822,95%CI:8.343-38.072)were risk factors for developing MDR-TB.Lineage 2(L2)strains accounted for 64.40%(136/191),whereas lineage 4(L4)accounted for 28.80%(55/191).The most common drug resistance mutations were katG Ser315Thr(62.50%,20/32)for INH,rpoB Ser450Leu(50.00%,12/24)for RIF,embB Met306Val(55.56%,5/9)for EMB,and rpsL Lys43Arg(80.95%,34/42)for SM.In conclusion,TB drug resistance was found to be a serious problem at a designated tu-berculosis hospital in Hunan in 2024.Strengthening the treatment and management of patients infected with L2 strains,those with co-morbid diabetes,and retreatment cases is crucial for preventing and controlling the emergence of drug-resistant TB.