Objective:To investigate the feasibility, effectiveness and safety of indocyanine green (ICG) navigation in the surgical resection of abdominal wall endometriosis (AWE).Methods:Seven women undergoing surgery for AWE in First Affiliated Hospital of Sun Yat-sen University (from July 1, 2021 to October 1, 2021) were collected. After exposure of the focus, ICG were used intravenously (0.25 mg/kg) as fluorescent dye for the intraoperative evaluation of AWE vascularization. Resection of the AWE was guided by direct visualization of the focus under standard laparoscopy with a near-infrared (NIR) camera head. Surgical margin around the AWE (3, 6, 9 and 12 point) and the margin under the focus were obtained for postoperative pathological examination of endometriosis. Time from injection to fluorescence visualization, the proportion of fluorescence visualization, time of fully resection of AWE, side effects related to the use of ICG, perioperative complications as well as the pathological result of the surgical margins were recorded.Results:ICG fluorescence of the AWE were seen in 5 patients (5/7). The mean time from injection to fluorescence visualization was (46.7±9.8) s. The mean time of fully resection of AWE was (16.4±7.0) minutes. There were no side effects related to the use of ICG. The rate of class-A wound healing was 7/7. All of the surgical margins were confirmed endometriosis-negative by postoperative pathological examination.Conclusion:ICG fluorescence visualization could conduct accurate resection of AWE, which is clinically safe and effective.

Objective : To investigate the expression of programmed death 1 (PD1) on CXCR5 - CD4 + T cells from the patients with systemic lupus erythematosus ( SLE) and to analyze the clinical relevance to disease severity. Methods : The expression of PD1 on CXCR5 - CD4 + T cells was examined from 47 SLE patients and 35 healthy controls (HC) by the technique of flow cytometry. The expression of PD1 including percentage of PD1 + CXCR5 -CD4 + T cells and mean fluorescence intensity (MFI) on CXCR5 - CD4 + T cells was compared between SLE patients and HC. And its correlation with clinical indicators , laboratory inspection and the percentage of plasmablasts was analyzed. Moreover, the predictive value of the expression of PD1 on CXCR5 - CD4 + T cell was explored. Results: ① The percentage of PD1 + CXCR5 - CD4 + T cells from SLE patients significantly elevated compared with HC (P= 0. 008 3 , U = 540. 5) , and the MFI of PD1 on CXCR5 - CD4 + T cells from SLE patients significantly elevated compared with HC (P < 0. 000 1 , U = 187. 0) . ② The percentage of PD1 + CXCR5 - CD4 + T cells was associated with C3 ( rs = - 0. 335 2 , P = 0. 022 8) , anti - SSA (P = 0. 016 6 , t = 2. 5) , anti - histone (P = 0. 030 3 , t =2. 3) , treatment (P = 0. 020 2 , t = 3. 4) , plasmablasts ( rs = 0. 387 1 , P = 0. 0072) in SLE patients. The MFI of PD1 on CXCR5 - CD4 + T cells was associated with SLEDAI ( rs = 0. 403 1 , P = 0. 005 0) , ESR ( rs = 0. 356 1 , P= 0. 017 7) , CRP ( rs = 0. 337 4 , P = 0. 028 9) , RBC ( rs = - 0. 297 0 , P = 0. 042 6) , HGB ( rs = - 0. 302 9 , P= 0. 038 5) , HCT ( rs = - 0. 381 6 , P = 0. 008 1) , L ( rs = - 0. 393 7 , P = 0. 006 2) , L% ( rs = - 0. 391 2 , P= 0. 006 5) , N% ( rs = 0. 315 0 , P = 0. 031 1) , NLR ( rs = 0. 373 0 , P = 0. 009 8) , LMR ( rs = - 0. 431 5 , P =0. 002 5) , dNLR ( rs = 0. 315 0 , P = 0. 031 1) , anti⁃Ro52 (P = 0. 029 5 , t = 63. 5) , treatment (P = 0. 035 5 , W= 21) , plasmablasts ( rs = 0. 315 8 , P = 0. 030 6) . ③ Logistic regression analysis showed that the MFI of PD1 on CXCR5 - CD4 + T cells was a risk factor for SLE. ④ ROC analysis showed the AUC of the MFI of PD1 on CXCR5 -CD4 + T cells was 0. 886. A further established model based on combination of the MFI of PD1 on CXCR5 - CD4 + T cells and HGB showed predictive value in distinguishing SLE from HC with AUC of 0. 979. And predictive value was positively associated with SLEDAI ( rs = 0. 313 6 , P = 0. 030 3) . Conclusion Increased percentage of PD1 + CXCR5 - CD4 + T cells and increased MFI of PD1 on CXCR5 - CD4 + T cells in SLE are associated with disease severity and activity , and a model based on combination of the MFI of PD1 on CXCR5 - CD4 + T cells and HGB shows prominent value for predicting SLE.