Chronic urticaria (CU) is a persistent immune-mediated skin disease with an incompletely understood pathogenesis. As the largest micro-ecosystem in the human body, the gut microbiota participates in complex metabolic processes and produces a wide range of metabolites. The gut microbiota-metabolism axis plays a crucial role in the onset and progression of CU. Patients with CU commonly exhibit gut dysbiosis, characterized by a reduction in beneficial bacteria and an increase in opportunistic pathogens, accompanied by alterations in key metabolites. These changes may disrupt the intestinal barrier and modulate the function of immune cells such as mast cells and T cells, thereby triggering or aggravating distal cutaneous inflammation and contributing to CU pathophysiology. Certain bacterial taxa and metabolites hold promise as potential biomarkers for CU diagnosis, therapeutic response, and prognosis, while interventions targeting gut microbiota have demonstrated potential in ameliorating CU symptoms. Elucidating the characteristics and mechanistic roles of gut microbiota and metabolism in CU could provide a theoretical basis for developing novel individualized diagnostic and therapeutic strategies.
Humans ; Gastrointestinal Microbiome/physiology* ; Chronic Urticaria/etiology* ; Dysbiosis/complications* ; Mast Cells

Objective:To explore the effect of hyperthermic intraperitoneal chemotherapy (HIPEC) on postoperative immune function and tumor marker levels in patients with advanced gastric adenocarcinoma.Methods:A prospective cohort study was conducted, enrolling 72 patients with stage ⅢA-ⅢC gastric adenocarcinoma admitted to Jinjiang Hospital from August 2022 to December 2023. Patients were divided into the HIPEC group ( n=36, radical resection+ HIPEC within 3 days after surgery) and the control group ( n=36, radical resection alone) using the random number table method. The HIPEC protocol was perfusion with raltitrexed (4 mg in 4, 000 ml normal saline, at 43 ℃) for 60 minutes. Peripheral blood immune cells (CD3 +, CD4 +, CD8 +, CD4 + /CD8 + ratio) before treatment and 7 days after treatment, and serum levels of carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), and carbohydrate antigen 72-4 (CA72-4) 30 days after treatment were compared between the two groups. Results:Before treatment, there were no statistically significant differences in CD3 +, CD4 +, CD8 +, or CD4 + /CD8 + levels between the two groups (all P>0.05). Seven days after treatment, the HIPEC group had higher levels of CD3 +, CD4 +, and CD4 + /CD8 + ratio, and a lower CD8 + level than the control group, with statistically significant differences (all P<0.05). Before treatment, there were no significant differences in CEA, CA19-9, or CA72-4 levels between the two groups (all P>0.05). Thirty days after treatment, the HIPEC group had lower levels of CEA, CA19-9, and CA72-4 than the control group, with statistically significant differences (all P<0.05). Conclusions:HIPEC can significantly improve the postoperative immune function of patients with advanced gastric adenocarcinoma (by increasing the CD4 + /CD8 + ratio and immune cell activity) and effectively reduce tumor marker levels, which may provide a new strategy for preventing postoperative recurrence.

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

Objective To observe the value of ultrashort echo time(UTE)-MRI for evaluating pulmonary nodules.Methods Totally 58 patients with pulmonary nodules detected with CT were prospectively enrolled,and UTE-MRI was performed.Taken CT as the referent standard,the value of UTE-MRI for evaluating the diameter,composition,lung imaging reporting and data system(Lung-RADS)type and radiographic signs of pulmonary nodules was analyzed.Results CT detected 66 pulmonary nodules with a diameter of(11.60±5.20)mm in 58 patients,including 29 solid nodules,24 partially solid nodules and 13 ground-glass nodules.There were 14 Lung-RADS type 2,12 type 3,12 type 4A,11 type 4B and 17 type 4X lung nodules,among which 12 were found with lobulated sign,and 14 were found with spiculated sign.UTE-MRI detected 63 nodules with a diameter of(11.34±4.82)mm,including 25 solid nodules,28 partially solid nodules and 10 ground-glass nodules.There were 12 Lung-RADS type 2,12 type 3,12 type 4A,11 type 4B and 16 type 4X lung nodules.Among which 10 nodules were found with lobulated sign and 11 were found with spiculated sign.No significant difference of the measured diameters of lung nodules was found between UTE-MRI and CT(P=0.803),and the results of UTE-MRI and CT had good correlation and consistency(rs=0.953,ICC=0.946),which also had good consistency for assessing nodule composition and Lung-RADS type(Kappa=0.871,0.960).Meanwhile,no significant difference of the display rates of lobulated nor spiculated signs was noticed between UTE-MRI and CT(both P＞0.05).Conclusion UTE-MRI was helpful for evaluating pulmonary nodules,with efficacy comparable to CT.

Purpose To investigate the value of intratumoral and peritumoral radiomics features based on multi-parametric MRI for preoperative prediction of lymphovascular invasion(LVI)in clinical lymph node-negative(cN0)breast cancer.Materials and Methods This retrospective study included 280 patients with pathologically confirmed breast cancer who underwent preoperative MRI at Henan Provincial People's Hospital from January 2017 to May 2021.Patients were randomly divided into a training cohort and a testing cohort.After Z-score normalization,feature selection was performed using Select K Best and least absolute shrinkage and selection operator regression.Random forest algorithms were used to construct intratumoral,peritumoral,and combined intratumoral-peritumoral radiomics models for LVI prediction.Model performance and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration curves and decision curve analysis.Results High Ki-67 expression(≥20%),axillary lymph node metastasis and positive diffusion weighted imaging(DWI)margin sign were more common in the LVI-positive group(χ2=5.959,18.316,20.554,all P<0.05).In the testing cohort,the AUC values of the dynamic contrast-enhanced(DCE)-Intra and DCE-Com models for predicting LVI status were higher than those of the DWI sequence,whereas the AUC value of the DWI-Peri model was higher than that of the DCE sequence.The DWI-DCE-Com model achieved AUCs of 0.836 and 0.818 in the training and testing cohorts,respectively,which surpassed the predictive performance of single-sequence intratumoral-peritumoral radiomics models(DWI-Com,DCE-Com).Decision curve analysis showed that the DWI-DCE-Com model provided greater net clinical benefit across a reasonable range of threshold probabilities.Conclusion Radiomics models based on multiparametric MRI features from intratumoral and peritumoral regions can effectively predict LVI status in cN0 breast cancer,offering valuable support for preoperative individualized treatment decision-making.

Purpose To investigate the changes of free water(FW)values in the key basal ganglia of dopamine system in the brain of early Parkinson's disease(PD)by free water imaging,and to reveal the potential relationship between the changes and early PD.Materials and Methods From February to December 2023,62 patients with early PD and 27 healthy controls were enrolled in the Parkinson's Disease Progression Markers Project database,and 25 age-and sex-matched healthy controls were self-recruited from Henan Provincial People's Hospital.All subjects underwent clinical scale assessment and MRI data collection.Free water imaging was used to calculate the FW values of key nuclei in dopamine system,and the difference of FW values between PD group and healthy controls group,the correlation between FW values of PD group and clinical scale scores were analyzed.Results The FW values of compact part of substantia nigra(SNc)and ventral tegmental area(VTA)in PD group were significantly higher than those in healthy controls group(Z=2.458-3.914,all P<0.05).Regression analysis showed that FW values of SNc were correlated with the movement disorder society-sponsored revision unified Parkinson′s disease rating scale(MDS-UPDRS)Ⅲ scores and state-trait anxiety inventory(STAI)scores on both sides(r2=0.223,P<0.001;r2=0.125,P=0.018;r2=0.151,P=0.003;r2=0.128,P=0.017),the FW value of VTA on the left was significantly correlated with MDSUPDRS Ⅲ score(r2=0.143,P=0.004)and the FW value of the right VTA was significantly correlated with the STAI score(r2=0.125,P=0.019).Conclusion The FW values of SNc and VTA in PD patients are significantly increased in the early stage,and are correlated with motor and non-motor symptoms in PD patients.FW values may reflect brain degeneration,and this change may be related to the decline of motor and non-motor function in patients.

Purpose To investigate the value of intratumoral and peritumoral radiomics features based on multi-parametric MRI for preoperative prediction of lymphovascular invasion(LVI)in clinical lymph node-negative(cN0)breast cancer.Materials and Methods This retrospective study included 280 patients with pathologically confirmed breast cancer who underwent preoperative MRI at Henan Provincial People's Hospital from January 2017 to May 2021.Patients were randomly divided into a training cohort and a testing cohort.After Z-score normalization,feature selection was performed using Select K Best and least absolute shrinkage and selection operator regression.Random forest algorithms were used to construct intratumoral,peritumoral,and combined intratumoral-peritumoral radiomics models for LVI prediction.Model performance and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration curves and decision curve analysis.Results High Ki-67 expression(≥20%),axillary lymph node metastasis and positive diffusion weighted imaging(DWI)margin sign were more common in the LVI-positive group(χ2=5.959,18.316,20.554,all P<0.05).In the testing cohort,the AUC values of the dynamic contrast-enhanced(DCE)-Intra and DCE-Com models for predicting LVI status were higher than those of the DWI sequence,whereas the AUC value of the DWI-Peri model was higher than that of the DCE sequence.The DWI-DCE-Com model achieved AUCs of 0.836 and 0.818 in the training and testing cohorts,respectively,which surpassed the predictive performance of single-sequence intratumoral-peritumoral radiomics models(DWI-Com,DCE-Com).Decision curve analysis showed that the DWI-DCE-Com model provided greater net clinical benefit across a reasonable range of threshold probabilities.Conclusion Radiomics models based on multiparametric MRI features from intratumoral and peritumoral regions can effectively predict LVI status in cN0 breast cancer,offering valuable support for preoperative individualized treatment decision-making.

Objective To observe the value of ultrashort echo time(UTE)-MRI for evaluating pulmonary nodules.Methods Totally 58 patients with pulmonary nodules detected with CT were prospectively enrolled,and UTE-MRI was performed.Taken CT as the referent standard,the value of UTE-MRI for evaluating the diameter,composition,lung imaging reporting and data system(Lung-RADS)type and radiographic signs of pulmonary nodules was analyzed.Results CT detected 66 pulmonary nodules with a diameter of(11.60±5.20)mm in 58 patients,including 29 solid nodules,24 partially solid nodules and 13 ground-glass nodules.There were 14 Lung-RADS type 2,12 type 3,12 type 4A,11 type 4B and 17 type 4X lung nodules,among which 12 were found with lobulated sign,and 14 were found with spiculated sign.UTE-MRI detected 63 nodules with a diameter of(11.34±4.82)mm,including 25 solid nodules,28 partially solid nodules and 10 ground-glass nodules.There were 12 Lung-RADS type 2,12 type 3,12 type 4A,11 type 4B and 16 type 4X lung nodules.Among which 10 nodules were found with lobulated sign and 11 were found with spiculated sign.No significant difference of the measured diameters of lung nodules was found between UTE-MRI and CT(P=0.803),and the results of UTE-MRI and CT had good correlation and consistency(rs=0.953,ICC=0.946),which also had good consistency for assessing nodule composition and Lung-RADS type(Kappa=0.871,0.960).Meanwhile,no significant difference of the display rates of lobulated nor spiculated signs was noticed between UTE-MRI and CT(both P＞0.05).Conclusion UTE-MRI was helpful for evaluating pulmonary nodules,with efficacy comparable to CT.

Purpose To investigate the changes of free water(FW)values in the key basal ganglia of dopamine system in the brain of early Parkinson's disease(PD)by free water imaging,and to reveal the potential relationship between the changes and early PD.Materials and Methods From February to December 2023,62 patients with early PD and 27 healthy controls were enrolled in the Parkinson's Disease Progression Markers Project database,and 25 age-and sex-matched healthy controls were self-recruited from Henan Provincial People's Hospital.All subjects underwent clinical scale assessment and MRI data collection.Free water imaging was used to calculate the FW values of key nuclei in dopamine system,and the difference of FW values between PD group and healthy controls group,the correlation between FW values of PD group and clinical scale scores were analyzed.Results The FW values of compact part of substantia nigra(SNc)and ventral tegmental area(VTA)in PD group were significantly higher than those in healthy controls group(Z=2.458-3.914,all P<0.05).Regression analysis showed that FW values of SNc were correlated with the movement disorder society-sponsored revision unified Parkinson′s disease rating scale(MDS-UPDRS)Ⅲ scores and state-trait anxiety inventory(STAI)scores on both sides(r2=0.223,P<0.001;r2=0.125,P=0.018;r2=0.151,P=0.003;r2=0.128,P=0.017),the FW value of VTA on the left was significantly correlated with MDSUPDRS Ⅲ score(r2=0.143,P=0.004)and the FW value of the right VTA was significantly correlated with the STAI score(r2=0.125,P=0.019).Conclusion The FW values of SNc and VTA in PD patients are significantly increased in the early stage,and are correlated with motor and non-motor symptoms in PD patients.FW values may reflect brain degeneration,and this change may be related to the decline of motor and non-motor function in patients.