Objective: To investigate the characteristics of allele frequencies for 9 red blood cell (RBC) blood group systems in the Hui ethnic voluntary blood donor population of Suzhou using real-time fluorescence PCR technology, so as to provide technical support for establishing a RBC blood group genetic database. Methods: PCR-TaqMan technology was employed to perform genotyping detection for 9 RBC blood group systems using 144 samples from Hui voluntary blood donors in Suzhou, collected between October 2023 and August 2024. Results: Blood group allele frequencies among Suzhou Hui voluntary blood donors were distributed as follows: MNS system (M=0.566 0, N=0.434 0; S=0.079 9, s=0.920 1); Lutheran system (Lu =0.003 5, Lu =0.996 5; Au =0.895 8, Au =0.104 2); Kell system (K=0.000 0, k=1.000 0; Kp =0.003 5, Kp =0.996 5; JS =0.000 0, JS =1.000 0); Duffy system (Fy =0.899 3, Fy =0.100 7); Kidd system (JK =0.451 4, JK =0.548 6); Diego system (Di =0.041 7, Di =0.958 3); Yt system (Yt =0.996 5, Yt =0.003 5); Dombrock system (Do =0.128 5, Do =0.871 5); Colton system (Co =1.000 0, Co =0.000 0). The PCR-TaqMan-based RBC blood group genotyping technology successfully completed testing for all samples. Conclusion: The MNS, Lutheran, Duffy, Kidd, Diego, and Dombrock blood group systems in the Suzhou Hui population exhibited polymorphic distribution patterns, whereas the Colton system was monomorphic. Standardized application of PCR-TaqMan technology facilitates the establishment of an RBC blood group genetic database.

As a novel form of cell death, ferroptosis is mainly regulated by the accumulation of soluble iron ions in the cytoplasm and the production of lipid peroxides and is closely associated with several diseases, including acute kidney injury, ischemic reperfusion injury, neurodegenerative diseases, and cancer. The term "immunosuppression" refers to various factors that can directly harm immune cells' structure and function and affect the synthesis, release, and biological activity of immune molecules, leading to the insufficient response of the immune system to antigen production, failure to successfully resist the invasion of foreign pathogens, and even organ damage and metabolic disorders. An immunosuppressive phase commonly occurs in the progression of many ferroptosis-related diseases, and ferroptosis can directly inhibit immune cell function. However, the relationship between ferroptosis and immunosuppression has not yet been published due to their complicated interactions in various diseases. Therefore, this review deeply discusses the contribution of ferroptosis to immunosuppression in specific cases. In addition to offering new therapeutic targets for ferroptosis-related diseases, the findings will help clarify the issues on how ferroptosis contributes to immunosuppression.
Ferroptosis/immunology* ; Humans ; Immune Tolerance/immunology* ; Animals ; Immunosuppression Therapy ; Iron/metabolism* ; Neoplasms/immunology*

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective:To explore the association of serum levels of 41 serum cytokines and growth factors with the risk of sero-negative rheumatoid arthritis(SNRA)by Mendelian randomization.Methods:Genetic instruments for 41 circulating cytokines and growth factors were determined from a genome-wide association study(GWAS)of 8 293 European participants.Summary statistics for the SNRA were obtained from the Finnish database,including 3 877 SNRA cases and 285 035 controls of European ancestry.All of the inverse variance weighted(IVW),weighted median method(WM)and MR-Egger regression were used for MR analysis,while the IVW method was considered as the main analysis.The sensitivity analysis included a heterogeneity test,horizontal pleiotropic test,and leave-one method test to determine the reliability of the MR results.Results:In the IVW method,TNF-α[OR=1.470,95%CI(1.1331～1.910),P=0.004],IP-10[OR=0.794,95%CI(0.660～0.955),P=0.015]and IL-2rα[OR=0.049,95%CI(0.856～0.999),P=0.049].Sensitivity analysis showed no heterogeneity and horizontal pleiotropy.Conclusion:TNF-α,IP-10 and IL-2rα are causally associated to SNRA.TNF-α increases the risk of SNRA,while IP-10 and IL-2rα reduce the risk of SNRA.

Objective:To explore the predictive value of serum Dickkopf-related protein 1 (DKK1) and chemokine 21 (CCL21) expression for the pulmonary fibrosis progression in patients with rheumatoid arthritis associated interstitial lung disease (RA-ILD).Methods:A prospective study method was used. One hundred and eight patients with RA-ILD (RA-ILD group) and 108 patients with simple rheumatoid arthritis (RA group) from September 2020 to July 2023 in Jincheng People's Hospital were selected. The patients with RA-ILD were treated with disease-modifying antirheumatic drugs and anti fibrotic drugs. Before treatment, the serum DKK1, CCL21, C-reactive protein (CRP), anti cyclic citrullinated peptide antibody (ACPA), rheumatoid factor (RF), erythrocyte sedimentation rate (ESR) salivary liquefied glycan antigen 6 (KL-6) were detected; the 28 joints disease activity score (DAS28) and Warrick score were assessed. The patients with RA-ILD were followed up for 1 year, and the occurrence of pulmonary fibrosis progression was recorded. The patients with pulmonary fibrosis progression were included in the progressive subgroup and vice versa in the stable subgroup. Multivariate Logistic regression was used to analyze the independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD. The predictive value of serum DKK1 and CCL21 for predicting the pulmonary fibrosis progression within 1 year in patients with RA-ILD was analyzed by receiver operating characteristic (ROC) curve. The decision curve of serum DKK1 and CCL21 to predict the pulmonary fibrosis progression within 1 year in patients with RA-ILD was plotted using the R language package.Results:The DKK1 in RA-ILD group was significantly lower than that in RA group: (76.02 ± 9.80) ng/L vs. (86.44 ± 9.26) ng/L, the CCL21 was significantly higher than that in RA group: (202.02 ± 25.86) ng/L vs. (172.42 ± 18.35) ng/L, and there were statistical differences ( P<0.01). The patients with RA-ILD were followed up for 1 year, 25 cases (23.15%) developed pulmonary fibrosis progression (progressive subgroup), and 83 cases did not develop pulmonary fibrosis progression (stable subgroup). The Warrick score, CCL21, ACPA and KL-6 in progressive subgroup were significantly higher than those in stable subgroup: (11.80 ± 3.56) scores vs. (7.75 ± 1.81) scores, (224.53 ± 27.26) ng/L vs. (195.25 ± 21.32) ng/L, (452.46 ± 38.35) kU/L vs. (414.37 ± 31.63) kU/L and (466.35 ± 42.32) kU/L vs. (416.82 ± 38.34) kU/L, the DKK1 was significantly lower than that in stable subgroup: (68.65 ± 8.24) ng/L vs. (78.24 ± 9.15) ng/L, and there were statistical differences ( P<0.01); there were no statistical differences in DAS28, RF, ERS and CRP between the two subgroups ( P>0.05). Multivariate Logistic regression analysis result showed that Warrick score, DKK1, CCL21, ACPA and KL-6 were independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD ( OR = 2.601, 0.752, 1.110, 1.062 and 1.038; 95% CI 1.227 to 5.517, 0.578 to 0.978, 1.019 to 1.209, 1.009 to 1.118 and 1.001 to 1.076; P<0.05). The ROC curve analysis result showed that the area under the curve of DKK1 and CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.779 and 0.795, with optimal cutoff values of 74.750 and 207.615 ng/L. The area under the curve of DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.873. The decision curve analysis result showed that the DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year could improve the predictive value (the maximum benefit rate was 23.15%). Conclusions:Compared with RA patients, RA-ILD patients have decreased serum DKK1 levels and increased CCL21 levels. In patients with RA-ILD, the low expression of DKK1 and high expression of CCL21 are the risk factors of pulmonary fibrosis progression, and detecting serum levels of DKK1 and CCL21 can predict the risk of pulmonary fibrosis progression.

Objective To investigate the correlation between G protein-coupled receptor family C group 6 member A(GPRC6A)gene polymorphisms and their expression and pulmonary infections in elderly patients with chronic heart failure(CHF).Methods 138 elderly CHF patients admitted to the Xianyang First People's Hospital from January 2021 to January 2024 were selected as the research subjects,and were divided into an infected group(n=42)and an uninfected group(n=96)based on their lung infection status.Polymerase chain reaction(PCR)was used to detect polymorphisms at the rs6901250 and rs1606365 loci of the GPRC6A gene.The allele and genotype frequency distributions of the infected and uninfected groups were compared.Logistic regression modeling was used to analyze the s6901250 and rs1606365 loci under three genetic models(co-dominant,dominant and reces-sive)and lung infections in elderly patients with CHF.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression level of GPRC6A gene.The predictive value of the mRNA expression level of the GPRC6A gene for the development of pulmonary infections in elderly patients with CHF was analyzed by applying the receiver operator characteristic(ROC)curve.Results The distribution of genotypes at loci rs6901250 and rs1606365 of the GPRC6A gene in both the infected and uninfected groups of the lungs of elderly CHF patients conformed to the Hardy-Weinberg equilibrium law(χ2=0.199～0.376,all P>0.05),which was representative of the population.Compared with the uninfected group,the frequency of allele A at locus rs6901250(57.14%vs 41.67%)was significantly higher in the infected group,Allele G(54.76%vs.37.50%)and genotype GG(14.06%vs 29.99%)frequencies were significantly higher at locus rs1606365,and the differences were statistically significant(χ2=5.628,7.114,6.849,all P<0.05).At locus rs6901250,in the co-dominant model(GG vs AA)and the dominant model(GA+AA vs GG),the elderly CHF patients with AA genotype the risk of lung infection was higher than that of GG genotype(OR=1.753,1.546,all P<0.05);.rs1606365 locus showed that the risk of lung infection was higher than that of CC genotype in el-derly CHF patients with GG genotype under all three genetic models of co-dominant model(CC vs GG),dominant model(CG+GG vs CC)and recessive model(CG+CC vs GG)(OR=1.833,1.741,0.695,all P<0.05).The mRNA expression level of GPR-C6A gene in the lung-infected group of elderly CHF patients(1.43±0.35)was significantly higher than that in the uninfected group(1.02±0.21),and the difference was statistically significant(t=8.515,P<0.001).The results of the ROC curve analysis showed that the GPRC6A gene expression level predicted lung infection in elderly CHF patients with an AUC value of 0.895,a cut-offvalue of 1.37,and sensitivity and specificity of 85.7%and 66.7%,respectively.Conclusion The AA genotype at the rs6901250 locus and the GG genotype at the rs1606365 locus of the GPRC6A gene increased the risk of developing lung infec-tions in elderly patients with CHF.MRNA expression levels of the GPRC6A gene were elevated in the infected group,and its ex-pression level could be used as a predictive indicator for the development of lung infections in elderly patients with CHF.

Objective To construct a model for predicting ki-67 expression in hepatocellular carcinoma using the intratumoral and peritumoral radiomic features of contrast enhanced magnetic resonance imaging(CEMRI)in the arterial phase as well as clinical imaging features.Methods A total of 120 patients pathologically diagnosed with hepatocellular carcinoma(HCC)from January 2016 to December 2024 in No.910 Hospital of the Joint Logis-tics Support Force of the Chinese People's Liberation Army were retrospectively enrolled and randomly divided into a training set(84 cases)and a test set(36 cases)in a ratio of 7∶3.ITK-SNAP software was used to delineate the global region of interest(ROI)of HCC on the arterial phase MR images.The ROIs of all patients were automatically expanded outward by 2 mm,and then the intratumoral ROI areas were eliminated to obtain the peritumoral ROI.With the help of PyRadiomics software,1 198 intratumoral and peritumoral radiomic features were extracted.Spearman correlation analysis,maximum relevance-minimum redundancy(mRMR),and least absolute shrinkage and selection operator(LASSO)regression were used to reduce the data dimension and select the best features.Then,a radiomics model of the logistic regression(LR)machine learning algorithm was constructed.A combined model including clinical imaging features and radiomics features was established.The area under the curve(AUC),accuracy,sensitivity,specificity,positive predictive value(PPV),negative predictive value(NPV),calibration curve and decision curve analysis(DCA)were used to evaluate the efficacy of the intratumoral and peritumoral radiomics features combined with clinical imaging features model in predicting ki-67 expression in hepatocellular car-cinoma.Results The intratumor model exhibited an efficacy in predicting the expression of ki-67 in hepatocellular carcinoma with AUC values of 0.817 and 0.787 in the training set and test set,respectively.The peritumoral model showed an efficacy with AUC values of 0.805 and 0.633 in the training set and test set,respectively.The intratumoral and peritumoral model demonstrated AUC values of 0.874 and 0.836 in the training set and test set,respectively.The combined model constructed by integrating the intratumoral and peritumoral model with clinical imaging features yielded AUC values of 0.877 and 0.849 in the training set and test set,respectively,indicating clinical imaging features improved the performance of the model.DCA showed that the combined models all had good clinical benefits,with the intratumoral and peritumoral model performing the best.Conclusion The intratumoral and peritumoral radiomics model based on CEMRI arterial phase combined with clinical imaging data can accurately predict the expression of ki-67 in hepatocellular carcinoma.This combined model yields the best clinical benefit.

Objective To investigate the correlation between G protein-coupled receptor family C group 6 member A(GPRC6A)gene polymorphisms and their expression and pulmonary infections in elderly patients with chronic heart failure(CHF).Methods 138 elderly CHF patients admitted to the Xianyang First People's Hospital from January 2021 to January 2024 were selected as the research subjects,and were divided into an infected group(n=42)and an uninfected group(n=96)based on their lung infection status.Polymerase chain reaction(PCR)was used to detect polymorphisms at the rs6901250 and rs1606365 loci of the GPRC6A gene.The allele and genotype frequency distributions of the infected and uninfected groups were compared.Logistic regression modeling was used to analyze the s6901250 and rs1606365 loci under three genetic models(co-dominant,dominant and reces-sive)and lung infections in elderly patients with CHF.Real-time fluorescence quantitative PCR(RT-qPCR)method was used to detect the expression level of GPRC6A gene.The predictive value of the mRNA expression level of the GPRC6A gene for the development of pulmonary infections in elderly patients with CHF was analyzed by applying the receiver operator characteristic(ROC)curve.Results The distribution of genotypes at loci rs6901250 and rs1606365 of the GPRC6A gene in both the infected and uninfected groups of the lungs of elderly CHF patients conformed to the Hardy-Weinberg equilibrium law(χ2=0.199～0.376,all P>0.05),which was representative of the population.Compared with the uninfected group,the frequency of allele A at locus rs6901250(57.14%vs 41.67%)was significantly higher in the infected group,Allele G(54.76%vs.37.50%)and genotype GG(14.06%vs 29.99%)frequencies were significantly higher at locus rs1606365,and the differences were statistically significant(χ2=5.628,7.114,6.849,all P<0.05).At locus rs6901250,in the co-dominant model(GG vs AA)and the dominant model(GA+AA vs GG),the elderly CHF patients with AA genotype the risk of lung infection was higher than that of GG genotype(OR=1.753,1.546,all P<0.05);.rs1606365 locus showed that the risk of lung infection was higher than that of CC genotype in el-derly CHF patients with GG genotype under all three genetic models of co-dominant model(CC vs GG),dominant model(CG+GG vs CC)and recessive model(CG+CC vs GG)(OR=1.833,1.741,0.695,all P<0.05).The mRNA expression level of GPR-C6A gene in the lung-infected group of elderly CHF patients(1.43±0.35)was significantly higher than that in the uninfected group(1.02±0.21),and the difference was statistically significant(t=8.515,P<0.001).The results of the ROC curve analysis showed that the GPRC6A gene expression level predicted lung infection in elderly CHF patients with an AUC value of 0.895,a cut-offvalue of 1.37,and sensitivity and specificity of 85.7%and 66.7%,respectively.Conclusion The AA genotype at the rs6901250 locus and the GG genotype at the rs1606365 locus of the GPRC6A gene increased the risk of developing lung infec-tions in elderly patients with CHF.MRNA expression levels of the GPRC6A gene were elevated in the infected group,and its ex-pression level could be used as a predictive indicator for the development of lung infections in elderly patients with CHF.

Objective:To explore the association of serum levels of 41 serum cytokines and growth factors with the risk of sero-negative rheumatoid arthritis(SNRA)by Mendelian randomization.Methods:Genetic instruments for 41 circulating cytokines and growth factors were determined from a genome-wide association study(GWAS)of 8 293 European participants.Summary statistics for the SNRA were obtained from the Finnish database,including 3 877 SNRA cases and 285 035 controls of European ancestry.All of the inverse variance weighted(IVW),weighted median method(WM)and MR-Egger regression were used for MR analysis,while the IVW method was considered as the main analysis.The sensitivity analysis included a heterogeneity test,horizontal pleiotropic test,and leave-one method test to determine the reliability of the MR results.Results:In the IVW method,TNF-α[OR=1.470,95%CI(1.1331～1.910),P=0.004],IP-10[OR=0.794,95%CI(0.660～0.955),P=0.015]and IL-2rα[OR=0.049,95%CI(0.856～0.999),P=0.049].Sensitivity analysis showed no heterogeneity and horizontal pleiotropy.Conclusion:TNF-α,IP-10 and IL-2rα are causally associated to SNRA.TNF-α increases the risk of SNRA,while IP-10 and IL-2rα reduce the risk of SNRA.

Objective:To explore the predictive value of serum Dickkopf-related protein 1 (DKK1) and chemokine 21 (CCL21) expression for the pulmonary fibrosis progression in patients with rheumatoid arthritis associated interstitial lung disease (RA-ILD).Methods:A prospective study method was used. One hundred and eight patients with RA-ILD (RA-ILD group) and 108 patients with simple rheumatoid arthritis (RA group) from September 2020 to July 2023 in Jincheng People's Hospital were selected. The patients with RA-ILD were treated with disease-modifying antirheumatic drugs and anti fibrotic drugs. Before treatment, the serum DKK1, CCL21, C-reactive protein (CRP), anti cyclic citrullinated peptide antibody (ACPA), rheumatoid factor (RF), erythrocyte sedimentation rate (ESR) salivary liquefied glycan antigen 6 (KL-6) were detected; the 28 joints disease activity score (DAS28) and Warrick score were assessed. The patients with RA-ILD were followed up for 1 year, and the occurrence of pulmonary fibrosis progression was recorded. The patients with pulmonary fibrosis progression were included in the progressive subgroup and vice versa in the stable subgroup. Multivariate Logistic regression was used to analyze the independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD. The predictive value of serum DKK1 and CCL21 for predicting the pulmonary fibrosis progression within 1 year in patients with RA-ILD was analyzed by receiver operating characteristic (ROC) curve. The decision curve of serum DKK1 and CCL21 to predict the pulmonary fibrosis progression within 1 year in patients with RA-ILD was plotted using the R language package.Results:The DKK1 in RA-ILD group was significantly lower than that in RA group: (76.02 ± 9.80) ng/L vs. (86.44 ± 9.26) ng/L, the CCL21 was significantly higher than that in RA group: (202.02 ± 25.86) ng/L vs. (172.42 ± 18.35) ng/L, and there were statistical differences ( P<0.01). The patients with RA-ILD were followed up for 1 year, 25 cases (23.15%) developed pulmonary fibrosis progression (progressive subgroup), and 83 cases did not develop pulmonary fibrosis progression (stable subgroup). The Warrick score, CCL21, ACPA and KL-6 in progressive subgroup were significantly higher than those in stable subgroup: (11.80 ± 3.56) scores vs. (7.75 ± 1.81) scores, (224.53 ± 27.26) ng/L vs. (195.25 ± 21.32) ng/L, (452.46 ± 38.35) kU/L vs. (414.37 ± 31.63) kU/L and (466.35 ± 42.32) kU/L vs. (416.82 ± 38.34) kU/L, the DKK1 was significantly lower than that in stable subgroup: (68.65 ± 8.24) ng/L vs. (78.24 ± 9.15) ng/L, and there were statistical differences ( P<0.01); there were no statistical differences in DAS28, RF, ERS and CRP between the two subgroups ( P>0.05). Multivariate Logistic regression analysis result showed that Warrick score, DKK1, CCL21, ACPA and KL-6 were independent risk factors for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD ( OR = 2.601, 0.752, 1.110, 1.062 and 1.038; 95% CI 1.227 to 5.517, 0.578 to 0.978, 1.019 to 1.209, 1.009 to 1.118 and 1.001 to 1.076; P<0.05). The ROC curve analysis result showed that the area under the curve of DKK1 and CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.779 and 0.795, with optimal cutoff values of 74.750 and 207.615 ng/L. The area under the curve of DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year in patients with RA-ILD was 0.873. The decision curve analysis result showed that the DKK1 combined with CCL21 for predicting pulmonary fibrosis progression within 1 year could improve the predictive value (the maximum benefit rate was 23.15%). Conclusions:Compared with RA patients, RA-ILD patients have decreased serum DKK1 levels and increased CCL21 levels. In patients with RA-ILD, the low expression of DKK1 and high expression of CCL21 are the risk factors of pulmonary fibrosis progression, and detecting serum levels of DKK1 and CCL21 can predict the risk of pulmonary fibrosis progression.