Objective:To detect the expression of autophagy-related genes (ATGs) involved in the late stage of autophagy in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS), analyze the difference and explore its possible clinical significance.Methods:① Peripheral blood specimens and clinical data were collected from 90 AS patients (AS group) who attended the outpatient clinic of the Department of Rheumatology and Immunology of the Affiliated Hospital of North Sichuan Medical College from March 2022 to August 2023, among which 30 patients were treated with secukinumab monoclonal antibody for 24 weeks (the treatment group), and clinical data and peripheral blood specimens from 45 healthy individuals (the HC group) who had medical checkups in the Affiliated Hospital of Chuanbei Medical College during the same period were used as the control group. As the control group, the mRNA expression levels of six ATGs (ATG5, ATG7, LC3-Ⅱ, ATG4B, ATG2A, ATG10) involved in the late autophagy stage were detected in PBMCs of peripheral blood specimens by RT-qPCR, and were compared among different groups, and the measured data conformed to the normal distribution were analyzed using the paired t-test, and the abnormal distribution date were analyzed using the Wilcoxon signed-rank test. Wilcoxon signed-rank test was used for measurement data, and Spearman correlation analysis was used for correlation analysis. ② Receiver operating curve (ROC) was used to verify the difference in the expression of ATGs in the late stage of autophagy between AS group and HC group to evaluate its value in the diagnosis of AS and the inflammatory state of the disease. Results:① Compared with the HC group, ATG2A [2.00(1.10, 2.70)×10 -3, 7.50(4.60, 10.0)×10 -3, Z=-6.67, P<0.001], ATG5 [3.60 (2.30, 5.30)×10 -3, 7.20(5.50, 9.20)×10 -3, Z=-3.63, P=0.001], LC3Ⅱ[25.70(8.50, 35.00)×10 -3, 52.20(45.00, 69.10)×10 -3, Z=-5.87, P<0.001] and ATG7[5.50(3.20, 8.10)×10 -3, 8.30(5.20, 9.80)×10 -3, Z=-2.38, P=0.017] the mRNA expressions were significantly decreased in the AS group. ②ATG5 mRNA expression was negatively correlated with platelet count ( r=-0.35, P=0.008), LC3-Ⅱ was negatively correlated with estimated glomerular filtration rate ( r=-0.33, P=0.017), ATG7 was positively correlated with absolute basophil count ( r=0.33, P=0.011),ATG10 was negatively correlated with estimated glomerular filtration rate and C-reactive protein (CRP) was negatively correlated ( r=-0.30, P=0.032). ③ The area under the ROC curve (AUC) of ATG2A mRNA expression level for predicting AS was 0.910, and the sensitivity and specificity were 94.6% and 83.8% respectively. ④ After 24 weeks of treatment with secukinumab, the mRNA expression levels of ATG2A[2.00(1.20, 2.90)×10 -3, 4.90(0.10, 7.40)×10 -3, Z=-3.75, P<0.001] and LC3-Ⅱ[2.00(1.20, 2.90)×10 -3, 4.90(0.10, 7.40)×10 -3, Z=-3.75, P<0.001]were elevated in the AS patients. Conclusion:Late autophagy-related genes ATG2A, ATG5, LC3II, ATG7 may be involved in AS development.The AUC of ATG2A in AS is 0.91, suggesting that ATG2a is expected to be a biological indicator for early diagnosis of AS. Secukinumab may be involved in the regulation of autophagy by affecting the expression of late autophagy genes, but the specific mechanism needs to be further explored.

Glycoprotein non-metastatic melanoma protein B (GPNMB) is a transmembrane glycoprotein that plays an important role in various physiological and pathological processes. In recent years, its role in lung diseases has gradually attracted attention. Studies have found that GPNMB is abnormally expressed in lung diseases and is involved in regulating pathological processes such as inflammatory responses, fibrosis, and tumorigenesis. This article systematically reviews the research progress of GPNMB in common lung diseases such as chronic obstructive pulmonary disease (COPD), pulmonary fibrosis, and lung cancer, and explores its potential as a therapeutic target, providing new insights for the diagnosis and treatment of lung diseases in the future.

Objective:To detect the expression of autophagy-related genes (ATGs) involved in the late stage of autophagy in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS), analyze the difference and explore its possible clinical significance.Methods:① Peripheral blood specimens and clinical data were collected from 90 AS patients (AS group) who attended the outpatient clinic of the Department of Rheumatology and Immunology of the Affiliated Hospital of North Sichuan Medical College from March 2022 to August 2023, among which 30 patients were treated with secukinumab monoclonal antibody for 24 weeks (the treatment group), and clinical data and peripheral blood specimens from 45 healthy individuals (the HC group) who had medical checkups in the Affiliated Hospital of Chuanbei Medical College during the same period were used as the control group. As the control group, the mRNA expression levels of six ATGs (ATG5, ATG7, LC3-Ⅱ, ATG4B, ATG2A, ATG10) involved in the late autophagy stage were detected in PBMCs of peripheral blood specimens by RT-qPCR, and were compared among different groups, and the measured data conformed to the normal distribution were analyzed using the paired t-test, and the abnormal distribution date were analyzed using the Wilcoxon signed-rank test. Wilcoxon signed-rank test was used for measurement data, and Spearman correlation analysis was used for correlation analysis. ② Receiver operating curve (ROC) was used to verify the difference in the expression of ATGs in the late stage of autophagy between AS group and HC group to evaluate its value in the diagnosis of AS and the inflammatory state of the disease. Results:① Compared with the HC group, ATG2A [2.00(1.10, 2.70)×10 -3, 7.50(4.60, 10.0)×10 -3, Z=-6.67, P<0.001], ATG5 [3.60 (2.30, 5.30)×10 -3, 7.20(5.50, 9.20)×10 -3, Z=-3.63, P=0.001], LC3Ⅱ[25.70(8.50, 35.00)×10 -3, 52.20(45.00, 69.10)×10 -3, Z=-5.87, P<0.001] and ATG7[5.50(3.20, 8.10)×10 -3, 8.30(5.20, 9.80)×10 -3, Z=-2.38, P=0.017] the mRNA expressions were significantly decreased in the AS group. ②ATG5 mRNA expression was negatively correlated with platelet count ( r=-0.35, P=0.008), LC3-Ⅱ was negatively correlated with estimated glomerular filtration rate ( r=-0.33, P=0.017), ATG7 was positively correlated with absolute basophil count ( r=0.33, P=0.011),ATG10 was negatively correlated with estimated glomerular filtration rate and C-reactive protein (CRP) was negatively correlated ( r=-0.30, P=0.032). ③ The area under the ROC curve (AUC) of ATG2A mRNA expression level for predicting AS was 0.910, and the sensitivity and specificity were 94.6% and 83.8% respectively. ④ After 24 weeks of treatment with secukinumab, the mRNA expression levels of ATG2A[2.00(1.20, 2.90)×10 -3, 4.90(0.10, 7.40)×10 -3, Z=-3.75, P<0.001] and LC3-Ⅱ[2.00(1.20, 2.90)×10 -3, 4.90(0.10, 7.40)×10 -3, Z=-3.75, P<0.001]were elevated in the AS patients. Conclusion:Late autophagy-related genes ATG2A, ATG5, LC3II, ATG7 may be involved in AS development.The AUC of ATG2A in AS is 0.91, suggesting that ATG2a is expected to be a biological indicator for early diagnosis of AS. Secukinumab may be involved in the regulation of autophagy by affecting the expression of late autophagy genes, but the specific mechanism needs to be further explored.

Objective:To explore the expression and clinical significance of long non-coding RNA colorectal neoplasia differentially expressed (lncRNA CRNDE), microRNA-181a-5p (miR-181a-5p) and autophagy related 5 (ATG5) in the peripheral blood of patients with gouty arthritis (GA) patients.Methods:The clinical data, laboratory parameters and peripheral blood samples were collected from 40 patients with acute gout (AG), 40 patients with intermittent gout (IG) and 50 healthy subjects (HC). The expression levels of lncRNA CRNDE, miR-181a-5p and ATG5 mRNA were detected by real-time fluorescence quantification (RT-qPCR) and the expression level of ATG5 protein was detected by Western-blot. The expression levels of lncRNA CRNDE, miR-181a-5p, ATG5 mRNA were compared among the three groups and correlated with clinical indices, and a subject operating characteristic curve (ROC) was constructed to assess the value of lncRNA CRNDE, miR-181a-5p, ATG5 mRNA in the diagnosis of gout. Measurements conforming to normal distribution were analyzed using t test or ANOVA, data with non-normal distribution was analyzed using Mann-Whitney U test or Kruskal-Wallis H test, correlation analysis between variables was analyzed using Spearman's analysis, and the diagnostic value of each indicator was analyzed using ROC curve. Results:① The differences in the expression of lncRNA CRNDE, miR-181a-5p, and ATG5 mRNA between the three groups were statistically significant ( H=32.12, 57.73, 68.32, all P<0.001). Among them, lncRNA CRNDE expression level in the AG group was significantly higher than that in the IG group and healthy control group [61.95(11.39, 108.30)×10 -3, 25.71(15.40, 38.40)×10 -3, 13.80(3.97, 23.99)×10 -3; Z=-3.24, P=0.001; Z=-5.03, P<0.001], and the expression level of IG group was higher than that of healthy control group( Z=-3.56, P<0.001); miR-181a-5p and ATG5 mRNA expression levels in AG group were significantly lower than those in IG group and healthy control group [miR-181a-5p: 39.81(31.22, 69.38)×10 -3, 60.74(44.19, 90.35)×10 -3, 121.30(101.50, 316.90)×10 -3; Z=-3.01, P=0.030; Z=-6.93, P<0.001. ATG5 mRNA: 4.52(2.31, 26.63)×10 -3, 43.63(13.72, 102.70)×10 -3, 153.90(66.62, 365.80)×10 -3; Z=-5.47, -7.36, all P<0.001)], which were expressed at lower levels in the IG group than in the healthy controls ( Z=-5.25, -4.47, all P<0.001). The difference of ATG5 protein expression level among the three groups expressed was statistically significant ( F=6.24, P=0.030), and the AG group was higher than the healthy control group, and the difference was statistically significant [(0.96±0.13) vs.(0.61±0.04), t=4.25, P=0.013], but the difference between the IG group (0.78±0.15) and the AG group and the HC group was not statistically significant ( t=1.51, P=0.206; t=1.85, P=0138). ② Spearman correlation analysis showed that lncRNA CRNDE was negatively correlated with the expression levels of miR-181a-5p and ATG5 mRNA in gout patients ( r=-0.49, P<0.001; r=-0.35, P=0.002); miR-181a-5p was positively correlated with ATG5 mRNA expression levels ( r=0.64, P<0.001); lncRNA CRNDE expression level was positively correlated with ESR and WBC ( r=0.49, P<0.001; r=0.43, P=0.001); miR-181a-5p expression level was negatively correlated with ESR and WBC ( r=-0.29, P=0.009; r=-0.35, P=0.002), and ATG5 mRNA expression levels were negatively correlated with ESR, WBC, and GR ( r=-0.26, P=0.021; r=-0.26, P=0.024; r=-0.27, P=0.021). In the AG group lncRNA CRNDE was positively correlated with ESR and WBC ( r=0.36, P=0.022; r=0.36, P=0.026) and miR-181a-5p was negatively correlated with WBC ( r=-0.34, P=0.038) ③ ROC curve showed that the areas under ROC curve of lncRNA CRNDE, miR-181a-5p and ATG5 mRNA expression levels to predict gout were 0.764, 0.875 and 0.864, respectively. The area under ROC curve of gout predicted by the three combined was 0.928. Conclusion:lncRNA CRNDE, miR-181a-5p, and ATG5 may be involved in the pathoge-nesis of primary gouty arthritis, and are potential biological parameters for studying the pathogenesis of gout.

Objective:To investigate the expression of N6-methyladenosine(m6A) modification-related genes and their possible roles in peripheral blood mononuclear cells (PBMCs) of patients with primary gouty arthritis (GA).Methods:Forty-five patients each with acute gout (AG), intermittent gout (IG), and age-and gender-matched healthy controls (HC) were collected from the outpatient clinic of the Department of Rheumatology and Immunology of the Affiliated Hospital of Chuanbei Medical College between October and December of 2023. The expression levels of m6A modification-related genes (METTL3、METTL14、WTAP、FTO、ALKBH5、IGF2BP2、IGF2BP3、YTHDF1、YTHDC2) in PBMCs among the 3 groups were detected by RT-qPCR and correlation analysis with clinical indicators was performed. Measurements conforming to normal distribution were analyzed using ANOVA or t-tests, and data were analyzed using the Kruskal-Wallis H-test and Mann-Whitney U-test for data that is not-normaly distributed. The value of m6A modification-related genes for the diagnosis of GA was evaluated using subject characterization curve ROC. Results:①There were statistically significant differences in the expression of IGF2BP2 ( Z=-3.59, P<0.001)、WTAP ( Z=-5.25, P<0.001)、METTL14 ( Z=-3.62, P<0.001)、YTHDF1 ( Z=-2.12, P=0.034)and YTHDC2 ( Z=-2.00, P=0.045) in the disease group and the normal control group. Among them, the expression of IGF2BP2 in the GA group [28.08 (17.99, 47.06)×10 -4] was significantly higher than that in the HC group [19.23 (12.90, 25.78)×10 -4], and the expressions of WTAP、METTL14、YTHDF1 and YTHDC2 in the GA group [298.61 (213.61, 377.80)×10 -4, 9.94 (6.43, 13.46)×10 -4, 52.63 (28.22, 72.77)×10 -4, 40.24 (20.74, 73.32)×10 -4] were significantly lower than those in the HC group [398.45(339.88, 454.89)×10 -4, 13.27(11.07, 15.85)×10 -4, 64.43(43.61, 87.10)×10 -4, 53.11(36.37, 79.28)×10 -4]. Further subgroup analysis revealed statistically significant differences in the expression of IGF2BP2、WTAP、METTL14、YTHDF1 and YTHDC2 among the 3 groups ( H=19.62、31.73、13.14、16.64、28.90, all P≤0.001). The expressions of WTAP and METTL14 in the AG group [311.13(234.96, 426.67)×10 -4, Z=-3.27, P=0.001; 9.64 (5.21, 15.21)×10 -4, Z=-2.71, P=0.008] and IG group [272.27 (203.29, 347.95)×10 -4, Z=-5.78, P<0.001; 10.40(6.88, 12.88)×10 -4, Z=-3.54, P=0.003] were lower than those in the HC group [398.45 (339.88, 454.89)×10 -4, 13.27(11.07, 15.85)×10 -4]. However, there was no significant difference between AG and IG group ( P>0.05). Both YTHDF1 and YTHDC2 were significantly lower in the AG group [38.10(16.19, 56.78)×10 -4, 24.31 (14.35, 42.77)×10 -4] than those in the IG group [64.13 (48.28, 74.40)×10 -4(Z=-3.54, P<0.001, 65.49 (39.89, 91.23)×10 -4(Z=-4.96, P<0.001)] and HC group [64.43 (43.61, 86.92)×10 -4(Z=-3.51, P<0.001), 53.11 (36.37, 79.28)×10 -4(Z=-4.25, P<0.001)]. But there was no statistically significant difference between IG and HC groups ( P>0.05); IGF2BP2 was significantly lower in the AG group [25.32(16.40, 40.43)×10 -4, Z=-2.46, P=0.014] and HC group [19.23 (12.90, 25.78)×10 -4, Z=-4.54, P<0.001] than in the IG group [31.10(22.60, 49.58)×10 -4], but the comparison between AG and HC showed no statistically significant difference( P>0.05). ②Spearman correlation analysis showed that in GA patients, the expression of IGF2BP2、METTL14 and YTHDF1 was positively correlated with plasma glucose、blood uric acid(sUA) and total cholesterol level respectively ( r=0.22, P=0.037; r=0.38, P=0.003; r=0.23, P=0.034), and WTAP was negatively correlated with GLU ( r=-0.25, P=0.020). ③The ROC curve for the joint prediction of the five differential genes showed that the 95% CI for area under the curve in GA was 0.90 (0.84, 0.95). Conclusion:The m6A modification-related genes are abnormally expressed in GA and are correlated with clinical indicators such as GLU and UA, which are hypothesized to be involved in the pathogenesis of GA and have a certain reference value for the evaluation of metabolism in GA patients.

Objective:To investigate and explore the clinical significance of the expression levels and differences of autophagy related genes ATG3, ATG5, ATG12, ATG16, LC3 and Beclin-1 in peripheral blood mononuclear cells of patients with refractory moderate-to-severe rheumatoid arthritis (RA), who were treated with abatacept.Methods:Peripheral blood samples of 30 patients admitted to the affiliated hospital of North Sichuan Medical College from June 2020 to June 2022 were collected before and after abatacept treatment. Autophagy associated genes were detected by RT-qPCR and, autophagy associated proteins were detected by Western Blot. Correlation analysis with clinical parameters was performed. SPSS26.0 and GraphPad Prism 9.0 were used for statistical analysis, Independent sample t-test was used for comparison between groups, and non-normal distribution data were expressed as M ( Q1, Q3), Spearman correlation analysis was used to analyze the correlation between variables, and P<0.05 was considered statistically significant. Results:①Compared with the mRNA expression levels of ATG12(0.007 6±0.005 9), ATG16(0.003 1±0.002 2) and LC3(0.038 2±0.017 1) before treatment, after 24 weeks treatment with abatacept, the mRNA expression levels of ATG12 (0.011 4±0.003 1) and ATG16 (0.004 2±0.000 7) increased ( t=-2.49, P=0.042; t=-2.15, P=0.038), and the mRNA expression level of LC3 (0.022 6±0.008 3) was decreased ( t=3.28, P=0.003) after 24 weeks of abatacept treatment.②After 24 weeks, the expression level of ATG16 mRNA in the remission group (0.004 8±0.000 8) was higher than that in the non-remission group (0.003 8±0.000 3) ( t=-3.41, P=0.003). The expression level of LC3 mRNA in remission group (0.027 3±0.007 3) was lower than that in non-remission group (0.017 9±0.006 5) ( t=3.69, P=0.017). ③ATG5 mRNA expression level was positively correlated with TJC, ESR and anti-CCP antibody ( r=0.75, P=0.049; r=0.43, P=0.044; r=0.97, P=0.011). The expression level of ATG12 mRNA was negatively correlated with DAS28, ESR and hsCRP ( r=-0.46, P=0.025; r=-0.51, P=0.026; r=-0.41, P=0.031). The expression level of ATG16 mRNA was positively correlated with ESR and hsCRP ( r=0.50, P=0.030; r=0.40, P=0.024). The expression level of Beclin-1 mRNA was significantly higher than TJC, RF-IgG and anti-CCP antibody were negatively correlated ( r=-0.51, P=0.025; r=-0.42, P=0.035; r=-0.81, P=0.043). The expression level of LC-3 mRNA was positively correlated with ESR and hsCRP ( r=0.55, P=0.028; r=0.56, P=0.024). ④Compared with the protein expression level before the treatment, of ATG12 (0.675 3±0.036 3), which (1.547 7±0.080 5) increased after 24 weeks of treatment ( t=-7.80, P=0.001). Compared with the protein expression levels of ATG16 (0.817 1±0.089 0), LC3Ⅱ (0.807 1±0.072 1) and IL-1β (1.129 7±0.118 9) before treatment, 24 weeks after, the protein expression levels of ATG16 (0.424 6±0.103 5), LC3Ⅱ (0.353 7±0.056 9) and IL-1β (0.346 7±0.050 8) decreased ( t=2.62, P=0.042; t=2.88, P=0.045; t=2.25, P=0.038) 24 weeks after treatment. Conclusion:Autophagy related genes is associated with several clinical presentations and disease activity. The results of this study suggest that autophageius are involved in the pathogenesis of RA. Abatacept may be a potential autophage modulator by regulating autophagy related genes including ATG12、ATG16 and LC3.

Objective:To detect the expression of autophagy-associated genes (ATGs) involved in the early stage of autophagy in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS) and analyze the results with clinical data. To explore the association between the early stage of autophagy and AS and the clinical significance of ATGs involved in the early stage of autophagy in assessing the disease and inflammatory status of AS.Methods:①Clinical data and peripheral blood samples of 90 patients with AS (AS group) who were admitted to the Rheumatology and Immunology Department of the Affiliated Hospital of North Sichuan Medical College from March 2021 to August 2022 were collected, including 32 patients in the active stage (ASA group) and 58 patients in the stable stage (ASS group). In addition, clinical data and peripheral blood samples of 30 patients who were treated with secuchiumab for 24 weeks were also collected. The clinical data and peripheral blood samples of 45 healthy control (HC group) who underwent physical examination at the Affiliated Hospital of Sichuan Northwest Medical University at the same time served as controls for clinical data and peripheral blood specimens were used as controls. RT-qPCR was used to detect the mRNA expression levels of 8 ATGs (ATG13, ATG14, ATG17, ATG18, ATG101, Beclin1, ULK1, mTOR) involved in the early stage of autophagy in all PBMCs of peripheral blood samples, and compared between different groups. Data that follows a normal distribution is tested using the t-test, while data that does not follow a normal distribution is tested using the Wilcoxon rank sum test. Correlation analysis is performed using Spearman's rank correlation coefficient.②Receiver operating curve (ROC) was used to evaluate the value of ATGs with differential expression between AS group and HC group in detecting AS disease.Results:①Compared with HC group, the level of ATG13, ATG14, ATG17, ATG18, ATG101 and Beclin1 mRNA in AS group were significantly lower than those in HC group[ATG3:3.52(1.95, 5.09)×10 -3, 7.21(5.49, 9.16)×10 -3, Z=-5.64, P<0.001; ATG14:2.48(1.85, 3.64)×10 -3, 6.16(4.27, 7.80)×10 -3, Z=-6.44, P<0.001; ATG17: 6.45(3.29, 9.48)×10 -3, 18.52(12.30, 22.51)×10 -3, Z=-6.18, P<0.001;ATG18:2.97(1.77, 4.37)×10 -3, 4.61(3.27, 5.59)×10 -3, Z=-3.88, P<0.001; ATG101: 2.07(1.11, 3.33)×10 -3, 3.65(2.41, 5.20)×10 -3, Z=-3.87, P<0.001; Beclin1: 3.50(0.63, 6.14)×10 -3, 4.17(2.82, 7.93)×10 -3, Z=-1.82, P=0.027]. ②Comparison between ASA and ASS groups: The levels of ATG17, ATG 101 and Beclin1 mRNA in ASA group were significantly lower than those in ASS group[ATG17: 4.61(2.75, 7.85)×10 -3, 6.86(3.85, 11.28)×10 -3, Z=-2.16, P=0.030; ATG101:0.93(0.40, 1.67)×10 -3, 2.15(1.17, 3.20)×10 -3, Z=-3.94, P=0.002; Beclin1: 1.24(0.52, 3.94)×10 -3, 3.86(1.55, 5.45)×10 -3, Z=-2.26, P=0.024]. ③Spearman correlation analysis showed that the mRNA expression levels of ATG13 and Beclin1 in AS were negatively correlated with ESR and hs-CRP, respectively ( r=-0.22, P=0.038; r=-0.30, P=0.006; r=-0.34, P=0.004; r=-0.241, P=0.037), ATG18 mRNA expression ESR was positively correlated ( r=0.22, P=0.041). ④ROC curve showed that ATG13, ATG14, and ATG17 had a good ability to predict AS, and their area under the curve (AUC) was 0.821, 0.866, and 0.851, respectively. The mRNA expression levels of ATG13, ATG14, and ATG18 in AS were significantly increased after 24 weeks of secuchiumab treatment[ATG13: 3.09(0.17, 4.48)×10 -3, 3.50(3.42, 3.57)×10 -3, Z=-3.45, P=0.001; ATG14: 2.49(1.43, 4.03)×10 -3, 5.62(2.28, 6.77)×10 -3, Z=-3.01, P=0.003; ATG18: 2.91(1.61, 4.37)×10 -3, 4.53(2.91, 5.73)×10 -3, Z=-3.34, P=0.001]. Conclusion:①The different expressions of ATG13, ATG14, ATG17, ATG18, ATG101, and Beclin1 between HC and AS suggest that these 6 genes may related to the pathogenesis of AS, among which Beclin1 and ATG13 are closely related to the levels of inflammatory indicators ESR and hs-CRP in patients. It may affect the inflammatory state in AS. ②IL-17Ai may be a potential regulator of autophagy, which can play a therapeutic role by affecting the early autophagy process in AS, but the specific mechanism needs to be further explored. ③ Genes related to the early stage of autophagy are expected to be biological indicators for monitoring the occurrence of AS.

Objective:To detect the expression of autophagy-associated genes (ATGs) involved in the early stage of autophagy in peripheral blood mononuclear cells (PBMCs) of patients with ankylosing spondylitis (AS) and analyze the results with clinical data. To explore the association between the early stage of autophagy and AS and the clinical significance of ATGs involved in the early stage of autophagy in assessing the disease and inflammatory status of AS.Methods:①Clinical data and peripheral blood samples of 90 patients with AS (AS group) who were admitted to the Rheumatology and Immunology Department of the Affiliated Hospital of North Sichuan Medical College from March 2021 to August 2022 were collected, including 32 patients in the active stage (ASA group) and 58 patients in the stable stage (ASS group). In addition, clinical data and peripheral blood samples of 30 patients who were treated with secuchiumab for 24 weeks were also collected. The clinical data and peripheral blood samples of 45 healthy control (HC group) who underwent physical examination at the Affiliated Hospital of Sichuan Northwest Medical University at the same time served as controls for clinical data and peripheral blood specimens were used as controls. RT-qPCR was used to detect the mRNA expression levels of 8 ATGs (ATG13, ATG14, ATG17, ATG18, ATG101, Beclin1, ULK1, mTOR) involved in the early stage of autophagy in all PBMCs of peripheral blood samples, and compared between different groups. Data that follows a normal distribution is tested using the t-test, while data that does not follow a normal distribution is tested using the Wilcoxon rank sum test. Correlation analysis is performed using Spearman's rank correlation coefficient.②Receiver operating curve (ROC) was used to evaluate the value of ATGs with differential expression between AS group and HC group in detecting AS disease.Results:①Compared with HC group, the level of ATG13, ATG14, ATG17, ATG18, ATG101 and Beclin1 mRNA in AS group were significantly lower than those in HC group[ATG3:3.52(1.95, 5.09)×10 -3, 7.21(5.49, 9.16)×10 -3, Z=-5.64, P<0.001; ATG14:2.48(1.85, 3.64)×10 -3, 6.16(4.27, 7.80)×10 -3, Z=-6.44, P<0.001; ATG17: 6.45(3.29, 9.48)×10 -3, 18.52(12.30, 22.51)×10 -3, Z=-6.18, P<0.001;ATG18:2.97(1.77, 4.37)×10 -3, 4.61(3.27, 5.59)×10 -3, Z=-3.88, P<0.001; ATG101: 2.07(1.11, 3.33)×10 -3, 3.65(2.41, 5.20)×10 -3, Z=-3.87, P<0.001; Beclin1: 3.50(0.63, 6.14)×10 -3, 4.17(2.82, 7.93)×10 -3, Z=-1.82, P=0.027]. ②Comparison between ASA and ASS groups: The levels of ATG17, ATG 101 and Beclin1 mRNA in ASA group were significantly lower than those in ASS group[ATG17: 4.61(2.75, 7.85)×10 -3, 6.86(3.85, 11.28)×10 -3, Z=-2.16, P=0.030; ATG101:0.93(0.40, 1.67)×10 -3, 2.15(1.17, 3.20)×10 -3, Z=-3.94, P=0.002; Beclin1: 1.24(0.52, 3.94)×10 -3, 3.86(1.55, 5.45)×10 -3, Z=-2.26, P=0.024]. ③Spearman correlation analysis showed that the mRNA expression levels of ATG13 and Beclin1 in AS were negatively correlated with ESR and hs-CRP, respectively ( r=-0.22, P=0.038; r=-0.30, P=0.006; r=-0.34, P=0.004; r=-0.241, P=0.037), ATG18 mRNA expression ESR was positively correlated ( r=0.22, P=0.041). ④ROC curve showed that ATG13, ATG14, and ATG17 had a good ability to predict AS, and their area under the curve (AUC) was 0.821, 0.866, and 0.851, respectively. The mRNA expression levels of ATG13, ATG14, and ATG18 in AS were significantly increased after 24 weeks of secuchiumab treatment[ATG13: 3.09(0.17, 4.48)×10 -3, 3.50(3.42, 3.57)×10 -3, Z=-3.45, P=0.001; ATG14: 2.49(1.43, 4.03)×10 -3, 5.62(2.28, 6.77)×10 -3, Z=-3.01, P=0.003; ATG18: 2.91(1.61, 4.37)×10 -3, 4.53(2.91, 5.73)×10 -3, Z=-3.34, P=0.001]. Conclusion:①The different expressions of ATG13, ATG14, ATG17, ATG18, ATG101, and Beclin1 between HC and AS suggest that these 6 genes may related to the pathogenesis of AS, among which Beclin1 and ATG13 are closely related to the levels of inflammatory indicators ESR and hs-CRP in patients. It may affect the inflammatory state in AS. ②IL-17Ai may be a potential regulator of autophagy, which can play a therapeutic role by affecting the early autophagy process in AS, but the specific mechanism needs to be further explored. ③ Genes related to the early stage of autophagy are expected to be biological indicators for monitoring the occurrence of AS.

Objective:To This study was to investigate the expression and possible clinical significance of microRNA-146b (miR-146b) and signal transducer and transcriptional activator 1 and 3 (STAT1/3) in peripheral blood mononuclear cells (PBMCs) of patients with primary gouty arthritis (GA).Methods:The peripheral blood samples, clinical data and laboratory indexes of 120 male cases of GA [including 57 cases of acute (AG group) and 63 cases of intermittent (IG group)]and 66 healthy subjects (HC group) were collected. The expression levels of miR-146b and STAT1/3 in PBMCs were detected by real-time fluorescence quantitative PCR (RT-qPCR). The differences among the three groups were compared and the correlation between them and clinical indexes was analyzed. The receiver operating characteristic curve (ROC) was constructed to evaluate its diagnostic value in GA. After the PBMCs of 18 healthy subjects were stimulated by 100 μg/ml MSU for 3 hours to simulate acute gout inflammatory environment, the transcriptional changes of IL-1β, miR-146b and STAT1/3 were detected by RT-qPCR, and the expressions of IL-1β, STAT1/3 protein and phosphorylated protein were detected by Western blotting. T test or one-way ANOVA and LSD- t test were used in accordance with the normal measurement data, Kruskal-Wallis H and Mann-Whitney U test were used in the non-normal data, Spearman correlation analysis was used in the correlation between variables, and the diagnostic value was evaluated by the receiver working characteristic curve ROC. Results:①There were statistical differences in the expression of miR-146b, STAT1 and STAT3 among the three groups ( F=7.02、19.52、17.07, all P<0.001). The expression of miR-146b in gout group [(0.32±0.28)] was significantly higher than that in HC group (0.19±0.18)( t=2.96, P=0.003), while STAT1(0.019±0.012) and STAT3(0.014±0.010) were significantly lower than those in HC group (0.038±0.029),(0.025±0.016)( t=6.26, 5.56, both P<0.001). Further subgroup analysis showed that the expression of miR-146b in AG and IG groups was higher than that in HC group[(0.27±0.17), (0.38±0.35), (0.19±0.18), t=2.09, 3.30, both P<0.05], but that in AG group was lower than that in IG group ( t=2.02, P<0.05). The expression of STAT1 mRNA in AG and IG groups was lower than that in HC group [(0.020±0.012), (0.019±0.012), (0.038±0.029), t=4.89, 4.56, both P<0.001], but there was no statistical significance between AG and IG groups ( t=0.24, P>0.05). The expression of STAT3 mRNA in AG and IG groups was lower than that in HC group [(0.016±0.012), (0.012±0.008), (0.025±0.016), t=5.64, 3.33, both P<0.01], and the expression of STAT3 mRNA in AG group was higher than that in IG group ( t=2.12, P<0.05). ② Spearman correlation analysis showed that the expression of miR-146b in GA was negatively correlated with HCY ( r=-0.37, P=0.014), STAT1 was negatively correlated with Crea ( r=-0.29, P=0.019), positively correlated with eGFR ( r=0.25, P=0.047), and STAT3 was negatively correlated with HDL-C ( r=-0.27, P=0.033). ③ROC curve showed that the AUC (95% CI) of miR-146b, STAT1 and STAT3 were 0.679(0.582, 0.776), 0.710(0.629, 0.791) and 0.705(0.626, 0.783), and the combined AUC(95% CI) of the three was 0.836 (0.765, 0.907). ④Compared with blank control group and negative control group, the expression of miR-146b in PBMCs of 18 cases of HC was significantly decreased ( H=14.44, P=0.003), while the expression of IL-1β, STAT1 and STAT3 mRNA was significantly increased after 3 h of MSU stimulation ( H=26.44、27.26、15.90, all P<0.001). The expression of IL-1β, STAT1 and STAT3 protein and phosphorylated protein in the model group were significantly higher than those in the blank control group, and the differences were statistically significant ( t=9.97、6.63、7.48、11.25、6.28, all P<0.01). Conclusion:The abnormal expression of miR-146b and STAT1/3 in GA is related to some clinical indicators, suggesting that it may be involved in the regulation of gout immune inflammatory response and metabolism, and the specific mechanism is worth further study.