Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials and Methods: Patients with ANPC treated with CRT between September 2020 and June 2022 were retrospectively enrolled and categorized into response group (RG, n = 95) and non RGs (NRG, n = 32) based on the Response Evaluation Criteria in Solid Tumors (RECIST) 1.1. The quantitative parameters from pre-treatment syMRI (longitudinal [T1] and transverse [T2] relaxation times and proton density [PD]), diffusion-weighted imaging (apparent diffusion coefficient [ADC]), and clinicopathological characteristics were compared between RG and NRG. Logistic regression analysis was applied to identify parameters independently associated with CRT response and to construct a multivariable model. The areas under the receiveroperating characteristic curve (AUC) for various diagnostic approaches were compared using the DeLong test. Results: The T1, T2, and PD values in the NRG were significantly lower than those in the RG (all P < 0.05), whereas no significant difference was observed in the ADC values between these two groups. Clinicopathological characteristics (Epstein–Barr virus [EBV]-DNA level, lymph node extranodal extension, clinical stage, and Ki-67 expression) exhibited significant differences between the two groups. Logistic regression analysis showed that T1, PD, EBV-DNA level, clinical stage, and Ki-67 expression had significant independent relationships with CRT response (all P < 0.05). The multivariable model incorporating these five variables yielded AUC, sensitivity, and specificity values of 0.974, 93.8% (30/32), and 91.6% (87/95), respectively. Conclusion SyMRI may be used for the pretreatment prediction of CRT response in ANPC. The multivariable model incorporating syMRI quantitative parameters and clinicopathological characteristics, which were independently associated with CRT response, may be a new tool for the pretreatment prediction of CRT response.

To investigate the clinical significance of platelet-neutrophil ratio in patients with anti-neutrophil cytoplasmic antibody-associated vasculitis(AAV),a total of 128 patients were recruited and retrospectively analyzed in our department from March 2015 to July 2023.Spearman correlation analysis indicated that there was negative correlation between the level of PNR and Birmingham vasculitis activity score(BVAS)in AAV patients(r=-0.268,P=0.002).According to the PNR optimal cutoff value(26.4)determinated by X-tile bioinformatics software version 3.6.1 for predicting the survival rate,AAV patients were divided into high level PNR(HPNR)group(≥26.4)(n=105)and low level PNR(LPNR)group(<26.4)(n=23).Kaplan-Meier survival analysis showed that the survival rate of HPNR group was significantly higher than that of LPNR group(P<0.001).The level of PNR was correlated with poor prognosis of kidney(OR=2.54,95%CI:1.1-5.88,P=0.029).In conclusion,the level of PNR is closely related to disease activity and prognosis of AAV,and it might be a potential biomarker for predicting the disease activity and predicting the prognosis.

Objective To investigate the clinical value of peripheral eosinophil count(PEC)in predicting the outcome of diabetic nephropathy(DN).Methods A retrospective cohort trial was conducted on 220 DN patients identified by renal biopsy in Department of Nephrology of Second Affiliated Hospital from Army Medical University from March 2021 to March 2023.Clinical data,results of routine blood test and renal function were collected.X-tile bioinformatics software version 3.6.1 was used to determine the optimal cut-off value of PEC for predicting survival.Cox proportional hazards model and Kaplan-Meier survival analysis were applied to analyze the prognosis.Results The level of PEC in DN patients was positively correlated with the levels of serum creatinine(Scr)(r=0.245),blood urea nitrogen(BUN)(r=0.237)and blood uric acid(UA)(r=0.252),and negatively with estimated glomerular filtration rate(eGFR)(r=-0.236).According to the optimal PEC cut-off value,DN patients were divided into high-level group(＞0.29×109/L,n=41)and low-level group(≤0.29 × 109/L,n=179).The levels of Scr(P＜0.001),BUN(P=0.001)and UA(P=0.005)were significantly higher,while the eGFR(P＜0.001)was obviously lower in the high-level group than the low-level group.Multivariate Cox regression analysis showed that the high level of PEC was associated with poor prognosis of DN(HR=2.20,95％CI:1.05～4.60,P=0.036).Kaplan-Meier survival analysis demonstrated that the incidence of end-stage renal disease(ESRD)was notably higher in the high-level group than the low-level group(P=0.024).Conclusion PEC level of DN patients is closely associated with the progression and prognosis of DN,and the count is a potential biomarker for predicting the prognosis of DN.

Objective To investigate the efficacy of 0.3%sodium hyaluronate combined with carbomer in the treatment of patients with dry eye.Methods A total of 80 patients with dry eye treated in Zhoushan Hospital from January 2019 to January 2022 were selected and divided into study group and control group according to random number table method,with 40 cases in each group.Patients in control group were treated with 0.3%sodium hyaluronate,and patients in study group were treated with carbomer on this basis.Ocular surface disease index(OSDI),visual function score,Schirmer test,inflammatory factors,and adverse reactions were compared between two groups.Results The total effective rate in study group was significantly higher than that in control group(χ2=4.804,P=0.028).After treatment,OSDI,visual function score,interleukin(IL)-6,tumor necrosis factor-α(TNF-α),and IL-1β of the patients in both groups were significantly lower than before treatment,and volume of tear secretion was significantly higher than before treatment(P<0.05).OSDI,visual function score,IL-6,TNF-α and IL-1β of study group were significantly lower than those of control group,and volume of tear secretion was significantly higher than that of control group(P<0.05).There was no significant difference in adverse reactions between two groups(χ2=0.180,P=0.671).Conclusion 0.3%sodium hyaluronate combined with carbomer has good efficacy in the treatment of dry eye disease,can improve the stability of tear film,enhance visual function,reduce the expression of inflammatory factors in tear,and has good safety.

The limitations of antifungal drugs and severe drug resistance make the treatment of invasive fungal infections (IFIs) a great challenge. Itraconazole (ITZ), as a clinical first-line drug, has a wide range of antifungal activity, but it is still limited by adverse reactions such as liver and kidney toxicity, headache and abdominal pain due to its poor water solubility and easy to cause drug accumulation by injection. In this study, the amphiphilic polymer gallic acid-chitosan-cinnamaldehyde (GA-CS-CN) was prepared by amide reaction and Schiff-base reaction. The drug-loaded nanoparticles (GA-CS-CN/ITZ) were prepared by ultrasonic method. The properties of nanoparticles formulations and its in vitro antifungal activity were investigated in the study. Studies have shown that GA-CS-CN/ITZ is spherical, homogeneous and stable, and has good biological safety. The average particle size was 239.57 ± 31.37 nm, ITZ encapsulation efficiency was (93.41 ± 1.12)%, and the cumulative drug release was (62.25 ± 1.88)% at 48 h in vitro. The antifungal activity results of Candida albicans ATCC 10231 (C. albicans) showed that it had the optimal antifungal effect and could significantly enhance the antifungal activity of free drugs. GA-CS-CN/ITZ prepared in this study has excellent biological safety and anti-C. albicans performance, which provides a new choice for the treatment of C. albicans infection and has good application potential in the treatment of this fungal infection.

Objective: To explore the effects of porcine urinary bladder matrix (UBM) on the motility and polarization of bone marrow-derived macrophages in mice, so as to provide evidence for the rational selection of stent in clinical wound repair. Methods: The method of experimental research was used. The microstructure of porcine UBM and absorbable dressing was observed under scanning electron microscope. Polyacrylamide gel electrophoresis was used to observe the protein distribution of the two stent extracts. The primary macrophages were induced from bone marrow-derived cells isolated from six 6-8-week-old male C57BL/6J mice (mouse age, sex, and strain, the same below) and identified. Three batches of macrophages were divided into porcine UBM extract group and absorbable dressing extract group. The cells in each group were cultured with Dulbecco's modified Eagle medium/F12 medium containing the corresponding extracts. The cell migration rate was detected and calculated on 1, 3, and 7 d after scratching by scratch test. The number of migrated cells at 12 and 24 h of culture was detected by Transwell experiment. The percentages of CD206 and CD86 positive cells at 24 h of culture was detected by flow cytometer. The numbers of sample in the above cell experiments were all 3. An incision was prepared on the left and right back of twelve mice, respectively. The left incision of each mouse was included in porcine UBM group and the right incision was included in absorbable dressing group, and the corresponding stents were implanted into the incisions respectively. On post operation day (POD) 7 and 14, the number of inflammatory cells infiltrated in the stent was detected by hematoxylin-eosin staining; the number of F4/80, transforming growth factor-β₁ (TGF-β₁), vascular endothelial growth factor (VEGF), and matrix metalloprotein-9 (MMP-9) positive cells and type Ⅰ collagen deposition in stents were observed by immunohistochemistry; the percentages of F4/80, CD86, and CD206 positive cells were observed by immunofluorescence staining. The numbers of sample in the above animal experiments were all 6. Data were statistically analyzed with analysis of variance for factorial design, analysis of variance for repeated measurement, and independent sample t test. Results: Porcine UBM has a dense basement membrane structure on one side and porous propria containing a fibrous structures on the other. Both sides of the absorbable dressing had three-dimensional porous structure. In the molecular weight range of (50-70)×10³, multiple non-type Ⅰ collagen bands appeared in the lanes of porcine UBM extract, while no obvious bands appeared in the lanes of absorbable dressing extract. It had been identified that mouse bone marrow-derived cells had been successfully induced into macrophages. The cell migration rates in porcine UBM extract group were significantly higher than those in absorbable dressing extract group on 1, 3, and 7 d after scratching (with t values of 15.31, 19.76, and 20.58, respectively, P<0.05). The numbers of migrated cells in porcine UBM extract group were significantly more than those in absorbable dressing extract group at 12 and 24 h of culture (with t values of 12.20 and 33.26, respectively, P<0.05). At 24 h of culture, the percentage of CD86 positive cells in porcine UBM extract group ((1.27±0.19)%) was significantly lower than (7.34±0.14)% in absorbable dressing extract group (t=17.03, P<0.05);the percentage of CD206 positive cells in porcine UBM extract group was (73.4±0.7)%, significantly higher than (32.2±0.5)% in absorbable dressing extract group (t=119.10, P<0.05). On POD 7 and 14, the numbers of inflammatory cells infiltrated in the stents in porcine UBM group was significantly more than those in absorbable dressing group (with t values of 6.58 and 10.70, respectively, P<0.05). On POD 7 and 14, the numbers of F4/80, TGF-β₁, VEGF, and MMP-9 positive cells in the stents in porcine UBM group were significantly more than those in absorbable dressing group (with t values of 46.11, 40.69, 13.90, 14.15, 19.79, 32.93, 12.16, and 13.21, respectively, P<0.05); type Ⅰ collagen deposition in the stents in porcine UBM group was more pronounced than that in absorbable dressing group; the percentages of CD206 positive cells in the stents in porcine UBM group were significantly higher than those in absorbable dressing group (with t values of 5.05 and 4.13, respectively, P<0.05), while the percentages of CD86 positive cells were significantly lower than those in absorbable dressing group (with t values of 20.90 and 19.64, respectively, P<0.05), and more M2-type macrophages were seen in the stents in porcine UBM group and more M1-type macrophages were seen in the stents in absorbable dressing group. Conclusions: Porcine UBM can enhance macrophage motility, induce M2 polarization and paracrine function, create a microenvironment containing growth factors such as TGF-β₁ and MMP-9 tissue remodeling molecules, and promote tissue regeneration and extracellular matrix remodeling in mice.
Mice ; Male ; Animals ; Swine ; Vascular Endothelial Growth Factor A ; Urinary Bladder ; Matrix Metalloproteinase 9 ; Mice, Inbred C57BL ; Macrophages ; Collagen