Objective To investigate the antigen presentation characteristics of dendritic cells(DC)and B cells in cardiac grafts.Methods The heart of BALB/c mice was transplanted into the abdominal cavity of C57BL/6J mice.CD45+cells in the heart graft were extracted and sorted by flow cytometry at postoperative 5 d,and single cell RNA sequencing was performed.Taking DC and B cell subsets in cardiac grafts as the main study cells,the changing trend,antigen presenting ability and intercellular communication with T cells after heart transplantation were analyzed by bioinformatics analysis and flow cytometry.Gene ontology(GO)function enrichment difference analysis was adopted to prove the specific function and the reliability annotation of cell subsets.Results Germinal center-like B cell(GC-L B)was the B cell subset with the largest increase in quantity during the acute rejection phase,accounting for 87％.Classical DC(cDC)2 was the only DC subset with a significant increase in quantity during acute rejection of heart transplantation,accounting for 44％of DC subset,and it occupied the highest communication intensity with T cells after heart transplantation.Mononucleated DC(moDC)and memory B cell(MBC)were the main transmitters of T cell input signals in non-transplanted hearts,whereas transformed into cDC2 and GC-L B during the acute rejection phase.Among them,MBC and GC-L B were the main sources of T cell input signals in non-transplanted hearts and heart grafts.Conclusions Compared with DC,B cells occupy a higher number and weight in the intercellular communication with T cells in non-transplanted hearts and heart grafts,prompting that the antigen presenting activity of B cells is more active and stronger than DC in the early stage of acute rejection of heart transplantation.

Background::Homoharringtonine (HHT) is an effective anti-inflammatory, anti-viral, and anti-tumor protein synthesis inhibitor that has been applied clinically. Here, we explored the therapeutic effects of HHT in a mouse heart transplant model.Methods::Healthy C57BL/6 mice were used to observe the toxicity of HHT in the liver, kidney, and hematology. A mouse heart transplantation model was constructed, and the potential mechanism of HHT prolonging allograft survival was evaluated using Kaplan–Meier analysis, immunostaining, and bulk RNA sequencing analysis. The HHT-T cell crosstalk was modeled ex vivo to further verify the molecular mechanism of HHT-induced regulatory T cells (Tregs) differentiation. Results::HHT inhibited the activation and proliferation of T cells and promoted their apoptosis ex vivo. Treatment of 0.5 mg/kg HHT for 10 days significantly prolonged the mean graft survival time of the allografts from 7 days to 48 days ( P <0.001) without non-immune toxicity. The allografts had long-term survival after continuous HHT treatment for 28 days. HHT significantly reduced lymphocyte infiltration in the graft, and interferon-γ-secreting CD4 + and CD8 + T cells in the spleen ( P <0.01). HHT significantly increased the number of peripheral Tregs (about 20%, P <0.001) and serum interleukin (IL)-10 levels. HHT downregulated the expression of T cell receptor (TCR) signaling pathway-related genes ( CD4, H2-Eb1, TRAT1, and CD74) and upregulated the expression of IL-10 and transforming growth factor (TGF) -β pathway-related genes and Treg signature genes ( CTLA4, Foxp3, CD74, and ICOS). HHT increased CD4 + Foxp3 + cells and Foxp3 expression ex vivo, and it enhanced the inhibitory function of inducible Tregs. Conclusions::HHT promotes Treg cell differentiation and enhances Treg suppressive function by attenuating the TCR signaling pathway and upregulating the expression of Treg signature genes and IL-10 levels, thereby promoting mouse heart allograft acceptance. These findings may have therapeutic implications for organ transplant recipients, particularly those with viral infections and malignancies, which require a more suitable anti-rejection medication.

Objective:The mouse kidney transplantation model presents challenges in terms of surgical difficulty and low success rate,making it difficult to master.This study aims to provide a crucial model for transplantation immunology research by modifying and developing novel techniques for mouse kidney transplantation. Methods:A total of 57 pairs of mice were used to establish and compare the modified and innovative surgical techniques for mouse kidney transplantation.Three different surgical models were established,including the abdominal suture technique for orthotopic kidney transplantation,the abdominal cuff technique for orthotopic kidney transplantation,and the cervical cuff technique for ectopic kidney transplantation.BALB/c or C57BL/6 male mice,aged 8 to 12 weeks and weighed 20 to 25 g with specified pathogen free-grade were served as the donor mice or the recipient mice.The surgical technique characteristics,key surgical times,complications,and pathological examination in the early postoperative period were summarized and compared. Results:Three different surgical models of mouse kidney transplantation were successfully established.The comparison of warm ischemic time for the 3 groups of mice showed no statistical significance(P=0.510 4).The abdominal suture group had the shortest total operation time of the donor compared with the abdominal cuff group and the cervical cuff group[(18.3±3.6)min vs(26.2±4.7)min and(22.8±2.5)min;both P<0.000 1].There was a significant difference in cold ischemia time among the 3 groups(all P<0.000 1),with(60.8±4.1)min in the cervical cuff group,(43.3±5.0)min in the abdominal suture group,and(88.8±6.7)min in the abdominal cuff group.Due to different anastomosis methods,the cervical cuff group had the shortest time[(17.6±2.7)min],whereas the abdominal cuff group had the longest time[(38.8±5.4)min].The total operation time for the recipients showed significant differences(P<0.000 1),with the abdominal suture group having the shortest time[(44.0±6.9)min],followed by the cervical cuff group[(64.1±5.2)min],and the abdominal cuff group[(80.0±6.0)min]being the longest.In the 32 mice of the abdominal suture group,there were 6 with intraoperative bleeding,including 1 arterial intimal injury bleeding and 5 with bleeding after vessel opening.Six mice had ureteral complications,including ureteral bladder anastomotic stenosis,necrosis,and renal pelvis dilation.Two mice had postoperative abdominal infections.In the abdominal cuff group,there was no intraoperative bleeding,but 6 mice showed mild arterial stenosis and 5 showed venous stenosis,4 arterial injury,4 arterial thrombosis,and 2 ureteral complications.No postoperative infections occurred in the mice.In the cervical cuff group,no intraoperative bleeding,arterial intimal injury,arterial/venous stenosis,or thrombosis were found in 13 mice.Five mice had ureteral complications,including ureteral necrosis and infection,which were the main complications in the cervical cuff group.The renal function in mice of the 3 groups remained stable 7 days after surgery.Hematoxylin and eosin staining and periodic acid-Schiff staining showed no significant differences in terms of acute rejection among the 3 surgical methods(all P>0.05). Conclusion:All 3 surgical methods are able to successfully establish mouse kidney transplantation models,with no significant differences observed in the short-term graft survival and acute rejection.The modified abdominal suture technique and abdominal cuff technique have their respective advantages in research applications.The novel cervical cuff technique for ectopic kidney transplantation model is relatively simple to be prepared and causes less trauma to the mice,providing more options for studies involving xenotransplantation,secondary transplantation,and local lymphatic drainage.However,the difficulty in harvesting the donor kidney and the high incidence of ureteral infections need further validation in long-term survival.This study holds important reference value for choosing the type of mouse kidney transplantation model for different research needs.

Objective:To explore the clinical efficacy of adult donor dual kidney transplantation.Methods:Retrospective analysis of case data of 13 adult donor kidney dual kidney transplantation (DKT) performed in the The Second Xiangya Hospital of Central South University from September 2016 to December 2020. For 13 donors, the average age and BMI were (53.5±12.4)years and (24.3±2.8) kg/m 2, respectively. Their mean Serum creatinine (SCr) at admission and before procurement was (132.9±54.1)and (228.7±112.4)μmol/L, respectively. 3 of them had diabetes mellitus history, and 8 had hypertension history. 11 met the United Network for Organ Sharing (UNOS) DKT criteria and 6 met Remuzzi score DKT criteria. For 13 recipients, the average age and BMI were (39.3±8.9)years and (20.2±2.4)kg/m 2, respectively. All of them received ABO blood type-matched kidney transplants. 2 of them had their grafts transplanted in the bilateral iliac. In 12 cases, the grafts filled rapidly and urinated immediately when opening blood flow. In 1 case, the grafts were dark in color and vascular showed weak pulsation after opening blood flow. The time to recovery of perioperative graft function (from the day of surgery to the natural reduction of SCr to the normal range 44-133μmol/L), the occurrence of delayed graft function (DGF), acute rejection (AR), ureteral and surgical incision complications, as well as the recipients’ final follow-up SCr, eGFR, urinary protein, and grafts outcome were observed. Risk factors affecting outcomes were assessed by univariate logistic regression analysis. Results:The SCr dropped to the normal range at discharge in 10 recipients, and the average recovery time was (13.8±13.0) days. In other 3 cases SCr at discharge were 300.0, 149.0, 152.5μmol/L. 4 cases had DGF, 4 had AR, 1 experienced urinary fistula, and 1 experienced incisional dehiscence, which were treated with anti-rejection, J-tube implantation, continuous catheterization to maintain bladder void, secondary suturing, respectively. The follow-up time ranged from 4 to 54 months, with a median of 28(15.5, 31.0) months. At the final follow-up time, 10 cases had good graft function, 2 suffered impaired kidney function, and 1 experienced graft failure. The average SCr and eGFR except for graft failure patient were (144.2±101.3)μmol/L and (52.9±21.2)ml/min, respectively. 4 had positive urine protein. Univariate logistic regression analysis showed that donor age, BMI, history of diabetes mellitus and hypertension, and SCr were not significantly correlated with recipients’ DGF and graft impairment ( P>0.05), and due to the small sample size, multifactorial logistic regression analysis was not performed. Conclusion:The short to medium-term effects of adult donor DKT coule be safe and feasible.

Objective: To explore the associations between blood pressure trajectories during pregnancy and risk of future pre-eclampsia in a large cohort enrolling pregnant women at gestational age of ~12 weeks from community hospitals in Tianjin. Latent class growth modeling (LCGM) was used to model the blood pressure trajectories. Methods: This was a large prospective cohort study. The study enrolled pregnant women of ~12 weeks of gestation in 19 community hospitals in Tianjin from November 1, 2016 to May 30, 2018. We obtained related information during 5 antepartum examinations before gestational week 28, i.e., week 12, week 16, week 20, week 24 and week 28. LCGM was used to model longitudinal systolic (SBP) and diastolic blood pressure (DBP) trajectories. For the association study, the predictors were set as SBP and DBP trajectory membership (built separately), the outcome was defined as the occurrence of preeclampsia after 28 weeks of gestation. Results: A total of 5 809 cases with known pregnant outcomes were documented. After excluding 249 cases per exclusion criteria, 5 560 cases with singleton pregnancy were included for final analysis. There were 128 cases preeclampsia and 106 cases gestational hypertension in this cohort. Univariate logistic regression and multivariate logistic regression showed the higher baseline SBP level and DBP level were related with increased risk of preeclampsia. Four distinctive SBP trajectories and DBP trajectories from 12 weeks to 28 weeks of gestation were identified by LCGM. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for SBP latent classification trajectory_ 4 was 4.023 (95%CI: 2.368 to 6.835, P<0.001), and the OR for SBP latent classification trajectory_3 was 1.854 (95%CI: 1.223 to 2.811, P=0.004). Logistic regression showed that: using the DBP latent classification trajectory_1 as the reference group, the OR for DBP latent classification trajectory_4 was 4.100 (95%CI: 2.571 to 6.538, P<0.001), and 2.632 (95%CI: 1.570 to 4.414, P<0.001) for DBP latent classification trajectory_2. After controlling for potential confounders (baseline BMI, being primipara or not, white blood cell counts, hemoglobin level, platelet counts and alanine aminotransferase level), the OR for DBP_traj_4 was 2.527 (95%CI: 1.534 to 4.162, P<0.001), and the OR for DBP_traj_3 was 1.297 (95%CI: 0.790 to 2.128, P=0.303), and 2.238 (95%CI: 1.328 to 3.772, P=0.002) for DBP_traj_2. Therefore, BP trajectories from 12 weeks to 28 weeks identified by LCGM served as novel risk factors that independently associated with the occurrence of preeclampsia. Receiver operating characteristic (ROC) curve analysis showed incremental diagnostic performance by combing baseline blood pressure levels with blood pressure trajectories. Conclusion: By applying LCGM, we for the first time identified distinctive BP trajectories from gestational week 12 to 28, which can independently predict the development of preeclampsia after 28 weeks of gestation.
Female ; Humans ; Pregnancy ; Infant ; Blood Pressure ; Pre-Eclampsia/diagnosis* ; Prospective Studies ; Gestational Age ; Alanine Transaminase ; Hemoglobins

BACKGROUND: Studies have shown that the incidence and severity of corona virus disease 2019 (COVID-19) in patients with lung cancer are higher than those in healthy people. At present, the main anti-tumor treatments for lung cancer include surgery, immunotherapy, chemotherapy, radiotherapy, targeted therapy and anti-angiogenesis therapy. While the effects of different anti-tumor treatments on the occurrence and severity of COVID-19 pneumonia are not uniform. Therefore, we aimed to describe clinical characteristics and antitumor therapy of patients with lung cancer and COVID-19 pneumonia, and examined risk factors for severity in this population. METHODS: From December 1, 2022 to February 15, 2023, a retrospective study was conducted in 217 patients diagnosed with COVID-19 and pathologically confirmed lung cancer in the Jinling Hospital. We collected data about patients' clinical features, antitumor treatment regimen within 6 months, and the diagnosis and treatment of COVID-19. Risk factors for occurrence and severity of COVID-19 pneumonia were identified by univariable and multivariable Logistic regression models. RESULTS: (1) Among the 217 patients included, 51 (23.5%) developed COVID-19 pneumonia, of which 42 (82.4%) were classified as medium and 9 (17.6%) were classified as severe; (2) Univariate and multivariate analysis revealed overweight (OR=2.405, 95%CI: 1.095-5.286) and intrapulmonary focal radiotherapy (OR=2.977, 95%CI: 1.071-8.274) are risk factors for increasing occurrence of COVID-19 pneumonia, while other therapies are not; (3) Chronic obstructive pulmonary disease (COPD) history (OR=7.600, 95%CI: 1.430-40.387) was more likely to develop severe pneumonia and anti-tumor therapies such as intrapulmonary focal radiotherapy, chemotherapy, targeted therapy and immunotherapy did not increase severity. CONCLUSIONS Intrapulmonary focal radiation therapy within 6 months increased the incidence of COVID-19 pneumonia, but did not increase the severity. However, there was no safety concern for chemotherapy, targeted therapy, surgery and immunotherapy.
Humans ; COVID-19 ; Retrospective Studies ; Lung Neoplasms/drug therapy* ; Incidence ; Pneumonia/etiology*

Objective:To investigate the correlation between the prognosis of patients infected with BK virus after renal transplantation and their peripheral blood related indexes.Methods:131 patients from the Renal Transplantation Department of the Second Xiangya Hospital of Central South University who underwent renal transplantation and firstly infected with BK virus after the surgery during the period from August 2018 to August 2021 were retrospectively analyzed. 93 males (71.0%) and 38 females (29.0%). The average age was (37.5±11.3) years old. 109 cases underwent cadaveric kidney transplant (83.2%) and 22 cases underwent relatives kidney transplant (16.8%). The onset time of the first infection with BK virus after renal transplantation was (188.7±16.6) days, and the serum creatinine was (127.5±39.5) μmol/L. 25 patients (19.1%)infected with BK virus were positive in blood and urine at the same time, and 106 patients (80.9%)infected with BK virus were positive only in urine. Among 131 patients infected with BK virus, 70 patients were treated by lowering the blood concentration of tacrolimus to enhance immunity, 12 patients were treated by switching tacrolimus to cyclosporine, and 49 patients had incomplete follow-up data. The DNA load of BK virus in 25 patients [5.6(2.4, 12.3)×10 3copies/ml] positive in blood, white blood cell count(WBC)(5.8±2.0)×10 9/L, hemoglobin(Hb)(122.0±22.4)g/L, platelet count(PLT)(187.1±63.1)×10 9/L, neutrophil count(NEUT)(3.9±1.7)×10 9/L, lymphocyte count(LYM)(1.5±0.8)×10 9/L, monocyte count(MONO)(0.4±0.2)×10 9/L, neutrophil to lymphocyte ratio(NLR)2.2(1.7, 3.5), derived neutrophil to lymphocyte ratio(dNLR)1.7(1.3, 2.6), platelet to lymphocyte ratio(PLR)121.3(86.3, 227.3), monocyte to lymphocyte ratio(MLR)0.2(0.1, 0.4) and lymphocyte to monocyte ratio(LMR)4.7±2.6. The DNA load of BK virus in 106 patients [20.4(0.4, 2 570.0)×10 5copies/ml] positive in urine, WBC 6.6(4.8, 9.1)×10 9/L, Hb(129.0±24.5)g/L, PLT 188.0(147.3, 226.5)×10 9/L, NEUT 4.6(3.0, 6.6)×10 9/L, LYM(1.7±0.8)×10 9/L, MONO 0.4(0.3, 0.5)×10 9/L, NLR 2.8(1.9, 3.9), dNLR 2.1(1.5, 3.0), PLR 120.5(87.0, 163.2), MLR 0.2(0.1, 0.4), LMR 4.5(2.8, 6.7). 70 patients infected with BK virus treated by lowering the blood concentration of tacrolimus were divided into BK virus rise group and BK virus decline group according to the change of BK virus DNA load in blood and urine before and after treatment (the grouping principle of this study gives priority to the change of BK virus DNA load in blood, followed by the change of BK virus DNA load in urine). The WBC, Hb, PLT, NEUT, LYM, MONO, NLR, dNLR, PLR, MLR, LMR, tacrolimus blood concentration and change difference, blood creatinine and change difference were analysed between two groups. Results:The BK virus DNA load in 25 patients positive in blood was correlated with NLR and dNLR ( r=0.5062, P=0.0098; r=0.5738, P=0.0027), and there was no correlation between the BK virus DNA load in blood with the WBC ( r=-0.0185, P=0.9302), Hb ( r=0.0912, P=0.6646), PLT ( r=-0.3931, P=0.0519), NEUT ( r=0.2438, P=0.2401), LYM ( r=-0.3035, P=0.1402), MONO ( r=-0.3279, P=0.1096), PLR( r=0.1054, P=0.6161), MLR( r=0.0738, P=0.7257), LMR( r=-0.0738, P=0.7257). There was no correlation between the BK virus DNA load in 106 patients positive in urine and WBC( r=0.0222, P=0.8209), Hb( r=-0.0323, P=0.7423), PLT( r=0.0847, P=0.3881), NEUT( r=0.0417, P=0.6713), LYM( r=0.0010, P=0.9916), MONO( r=0.0224, P=0.8196, NLR( r=0.0170, P=0.8623), dNLR ( r=-0.0013, P=0.9892), PLR( r=0.0387, P=0.6934), MLR( r=-0.0070, P=0.9433)and LMR( r=0.0070, P=0.9433). As for 70 patients infected with BK virus, there were 37 patients in the BK virus rise group and 33 patients in the BK virus decline group. In the two groups, age [(38.4±12.0)years old and(39.0±9.0)years old], gender [male /female: (23/14) cases and(27/6)cases], blood type [A+ /B+ /AB+ : (22/13/20)cases and (26/6/1)cases], donation type [relatives donnation/cadaveric donation: (29/8)cases and (27/60)cases], blood creatinine(after treatment)[123.0(98.4, 140.5)μmol/L and 132.0(107.1, 162.4)μmol/L] and change difference before and after treatment [0(-15.7, 10.5)μmol/L and -2.0(-9.1, 15.0)μmol/L], tacrolimus blood concentration (after treatment)[(6.7±2.0)ng/ml and(6.5±1.5)ng /ml] and tacrolimus concentration change difference [-1.4(-3.8, 0.6)ng/ml and -1.2(-2.2, 1.3)ng/ml] had no significant difference( P<0.05). The MONO of the two groups was statistically different [0.3(0.2, 0.5)×10 9/L and 0.4(0.3, 0.6)×10 9/L, P=0.033], and there was no difference between the two groups in WBC[6.6(4.1, 8.8)×10 9/L and 6.8(5.4, 8.9)×10 9/L], Hb[(133.2±25.3)g/L and(131.6±20.6)g/L], PLT[185.0(151.0, 231.5)×10 9/L and 196.0(149.0, 234.0)×10 9/L], NEUT[4.3(2.4, 6.4)× 10 9/L and 4.2(3.1, 5.5)×10 9/L], LYM[1.7(1.1, 2.2)×10 9/L and 1.8(1.1, 2.3)×10 9/L], NLR[2.5(1.9, 3.8)and 2.4(1.9, 3.7)], dNLR [2.0(1.5, 2.8)and 1.9(1.4, 2.5)], PLR [114.9(85.1, 159.4)and 111.3(77.1, 159.6)], LMR(4.6±2.6 and 5.2±2.4), MLR[0.2(0.2, 0.4)and 0.2(0.2, 0.4)]( P<0.05). Conclusions:There is a positive correlation between the blood BK virus DNA load and NLR, dNLR in renal transplant recipients infected with BK virus. The rise of MONO correlates with good prognosis of BK virus.

The effect of living kidney transplantation between identical twins is satisfied, but it is rarely reported. From October 2019 to February 2021, two recipients received kidney transplantation from their twin sisters in the Second Xiangya Hospital of Central South University. The primary disease of the two recipients was acute glomerulonephritis in 1 case and diabetic nephropathy in 1 case. Two recipients received tacrolimus/cyclosporine+ mortemycophenol ester+ methylprednisolone after surgery. The patients were followed up for 3.0 and 1.5 years, respectively, with renal function recovering well.

Background/Aims: To evaluate temporal trends of atrial fibrillation (AF) prevalence in critically ill patients who received prolonged mechanical ventilation (MV) in the United States. Methods: We used the 2008 to 2014 National Inpatient Sample to compute the weighted prevalence of AF among hospitalized adult patients on prolonged MV. We used multivariable-adjusted models to evaluate the association of AF with clinical factors, in-hospital mortality, hospitalization cost, and length of stay (LOS). Results: We identified 2,578,165 patients who received prolonged MV (21.27% of AF patients). The prevalence of AF increased from 14.63% in 2008 to 24.43% in 2014 (p for trend < 0.0001). Amongst different phenotypes of critically ill patients, the prevalence of AF increased in patients with severe sepsis, asthma exacerbation, congestive heart failure exacerbation, acute stroke, and cardiac arrest. Older age, male sex, white race, medicare access, higher income, urban teaching hospital setting, and Western region were associated with a higher prevalence of AF. AF in critical illness was a risk factor for in-hospital death (odds ratio, 1.13; 95% confidence interval, 1.11 to 1.15), but in-hospital mortality in critically ill patients with AF decreased from 11.6% to 8.3%. AF was linked to prolonged LOS (2%, p < 0.0001) and high hospitalization cost (4%, p < 0.0001). LOS (–1%, p < 0.0001) and hospitalization cost (–4%, p < 0.0001) decreased yearly. Conclusions The prevalence of comorbid AF is increasing, particularly in older patients. AF may lead to poorer prognosis, and high-quality intensive care is imperative for this population.

Objective: To evaluate and describe the changes of core muscle groups based on DAVID spine biomechanics training system in ankylosing spondylitis (AS) patients. Methods: The clinical data of 100 patients of AS and 31 healthy controls were collected. Clinical symptoms, Bath ankylosing spondylitis disease activity index (BASDAI), Bath ankylosing spondylitis function index (BASFI), Bath ankylosing spondylitis measurement index (BASMI), ankylosing spondylitis disease activity (ASDAS), and simultaneous detection of DAVID spine biomechanics training system, simple core muscle fitness test: Eight-grade abdominal bridge, PLANK exercise (flat support), Abdominal static muscle endurance test, Back static muscle endurance test were compared using t-test analysis and spearman correlation analysis. Results: ① Between AS and healthy male control o group, there were significant differences of spinal mobility in forward flexion, right rotation, left rotation (42±13 vs 48±1, 52±14 vs 69±12, 52±13 vs 58±11; all P values <0.05); and significant differences of spinal muscle strength in forward bending force, right rotation force, left rotation force, right bending force (103±42 vs 146±17, 87±34 vs 104±13, 80±35 vs 101±13, 161±55 vs 186±19; all P values <0.05), and significant differences in the left/right rotational force (1.17±0.21 vs 1.02±0.111, P<0.05) of spine balance strength comparison.② Between AS and healthy controls of female group, there were differences in forward bending force (49±23 vs 77±10, P<0.05) of spinal muscle strength; and significant differences in forward bending/backward extension strength, left and right rotation strength (0.32±0.11 vs 0.58±0.21, 1.29±0.21 vs1.03±0.11, all P values <0.05) of spine balance strength; ③ In AS group, the spinal mobility was correlated with age (Rear extension r=-0.28, right flexion r=-0.268, left flexion r=-0.404, right rotation r=-0.367, left rotation r=-0.235; all P values <0.05), course of disease (Rear extension r=-0.354, forward flexion r=-0.283, right flexion r=-0.204, left flexion r=-0.284, right rotation r=-0.339, left rotation r=-0.23; all P values <0.05), body mass index (BMI) (Rear extension r=-0.23, forward flexion r=-0.288, right flexion r=-0.22, left flexion r=-0.201, right rotation r=-0.26, left rotation r=-0.29; all P values <0.05), sacroiliac joint stage(Rear extension r=-0.375, forward flexion r=-0.446, right flexion r=-0.331, left flexion r=-0.367, right rotation r=-0.368, left rotation r=-0.314; all P values <0.05) and BASDAI (Rear extension r=-0.381, forward flexion r=-0.374; all P values <0.05). Spinal muscle strength was correlated with gender (Posterior extensor force r=0.344, flexor force r=0.507, right rotation force r=0.376, left rotation force r=0.399, right flexion force r=0.433, left flexion force r=0.445; all P values <0.05); the left/right spine rotation strength was correlated with gender (r=0.271, P<0.05). ④ In the simple core muscle fitness test, eight-grade abdominal bridge was correlated with spinal muscle strength (Rear extension force r=0.234, right rotation r=0.290, left rotation r=0.219, right flexion r=0.35, left flexion r=0.327; all P values <0.05); PLANK exercise was correlated with spinal muscle strength (Rear extension force r=0.234, right rotation r=0.290, left rotation r=0.219, right flexion r=0.35, left flexion r=0.327; all P values <0.05); abdominal static muscle endurance test was correlated with forward flexion strength (r=0.341, P<0.05); back static muscle endurance test was correlated with spinal mobility (Rear extension r=0.262, forward flexion r=0.23, right rotation r=0.455, left rotation r=0.426, right flexion r=0.387, left flexion r=0.46; all P values <0.05); correlated with spine strength (right flexion r=0.256, left flexion r=0.272; all P values <0.05). Conclusion Compared with healthy people, AS patients have decreased activity, strength and balance of spinal core muscle. There are significant decline in spinal mobility and muscle strength of male AS patients and muscle imbalance of female AS patients. Simple core muscle fitness test could be used in clinic to measure the changes of AS patients'core muscle group.