Pleckstrin homology-like domain family A member 1(PHLDA1)is a pro-apoptotic factor as well as a key regulator of metabolic diseases.In obesity-related diseases,PHLDA1 can reduce liver triglyceride production through inhibition of the expression of sterol regulatory?element binding proteins?1(SREBP?1),and reduce fat syn?thesis through inhibition of peroxisome proliferator?activated receptor γ(PPARγ).However,in cardiovascular dis?eases,PHLDA1 increases vascular calcification,dysfunction,thereby aggravates ischemia?reperfusion injury in the heart and brain.The dual role of PHLDA1 has also been confirmed in tumors.In summary,PHLDA1,as a multi?functional factor,plays different functional roles through various mechanisms.

Obesity can promote asthma exacerbations by a complex mechanism of action involving multi-system in-teractions such as mechanomechanics,inflammatory response,genetic inheritance,microbial composition and met-abolic syndrome.Obesity reduces the compliance of lung tissue and chest wall,increases airway resistance,leads to airway narrowing,and aggravates asthma symptoms.Obesity can increase the release of inflammatory factors and ag-gravate the airway inflammatory response in asthma.Obesity can increase the risk of asthma by genetically influen-cing the obesity phenotype.Obesity can affect the development of asthma by altering the composition of the microbi-ota.Obesity can also worsen asthma by causing a series of metabolic syndrome.In conclusion,the mechanisms asso-ciated with obesity-promoted asthma involve multi-system interactions.Targeted metabolic drugs and biologics also show great potential in the treatment of obesity-associated asthma.

Objective:To evaluate the value of prostate specific membrane antigen (PSMA) PET/CT-based radiomics models in differentiation between prostate cancer and benign prostatic hyperplasia (BPH).Methods:Data from 50 patients with prostate cancer (age: (70.0±8.8) years) and 25 patients with BPH (age: (66.9±9.4) years) who underwent 18F-PSMA-1007 PET/CT imaging and prostate biopsy in the First Affiliated Hospital of Xi′an Jiaotong University from May 2020 to September 2022 were retrospectively collected. Patients were divided into the training set ( n=53) and test set ( n=22) in the ratio of 7∶3 by using random seed number. The ROIs were delineated based on PET and CT images, and radiomics features were extracted respectively. Feature selection was performed using the minimum redundancy and maximum relevance (mRMR) and the least absolute shrinkage and selection operator (LASSO) algorithm. PET and PET/CT radiomics models were generated using logistic regression. ROC curve analysis was employed for model evaluation. In addition, comparisons of the 2 radiomics models with parameters including the ratio of free prostate specific antigen (fPSA)/total prostate specific antigen (tPSA), PET metabolic parameters, as well as prostate cancer molecular imaging standardize evaluation (PROMISE) were conducted (Delong test). Results:A total of 7 features were included in the PET radiomics model, and 3 CT-based features and 4 PET-based features were included in the PET/CT radiomics model. The AUCs of PET and PET/CT radiomics models in the training set and test set were 0.941, 0.914 and 0.965, 0.914, respectively, which were higher than those of fPSA/tPSA (0.719 and 0.710), SUV max(0.748 and 0.800), peak of SUV (SUV peak, 0.722 and 0.771), metabolic tumor volume (MTV, 0.640 and 0.595), total lesion uptake (TLU, 0.525 and 0.476) and PROMISE (0.644 and 0.667)[ z values for the training set: from -6.26 to -3.13, all P<0.01; z values for the test set: from -3.16 to -1.08, P>0.05 (fPSA/tPSA, SUV max, SUV peak) or P<0.05 (MTV, TLU, PROMISE)]. The differential diagnostic accuracy, sensitivity and specificity of PET and PET/CT radiomics models in the test set were 86.36%(19/22), 13/15, 6/7 and 90.91%(20/22), 15/15, 5/7, respectively. Conclusion:Compared with the clinical and PET parameters, PSMA PET/CT-based radiomics model can further improve the efficiency of differential diagnosis between prostate cancer and BPH.

【Objective】 To analyze the correlation of whole body tumor burden of ¹⁸F-prostate specific membrane antigen positron emission computed tomography （¹⁸F-PSMA PET/CT） with prostate specific antigen （PSA） and Gleason score so as to evaluate the value of ¹⁸F-PSMA PET/CT whole body tumor burden for predicting serum PSA progression in prostate cancer. 【Methods】 We retrospectively recruited 213 patients with prostate cancer who underwent ¹⁸F-PSMA PET/CT scanning from March 2019 to April 2021. The serum PSA and Gleason score were collected. Whole body tumor burden was measured by a semi-automatic method. The correlation of tumor burden with serum PSA and Gleason score was analyzed. After radical prostatectomy， the patients were divided into groups according to negative or positive ¹⁸F-PSMA PET/CT. PSA differences between groups were compared， and the receiver operating characteristic curve （ROC） of the subjects was drawn so as to obtain the threshold value of PSA to predict the positive rate of ¹⁸F-PSMA PET/CT. The patients were followed up for PSA after radical surgery， divided into groups according to the progress of PSA， and the differences in tumor burden between groups were compared. 【Results】 In Gleason score ≤7， =8， and ≥9 groups， whole body tumor burden was correlated with PSA in each group （P=0.001）， and tumor burden significantly differed between the groups （P<0.001）. In initial diagnosis and treatment group， biochemical recurrence group， and medication group， the correlation between tumor burden and PSA was statistically significant （P=0.001）. The Gleason score of primary prostate lesion was significantly correlated with systemic tumor burden （P<0.001）. The area under ROC curve of PSA predicting the positive rate of ¹⁸F-PSMA PET/CT after radical prostatectomy was 0.821； when PSA>0.577 ng/mL， the sensitivity and the specificity were 66.7% and 96.8%， respectively. The mean whole body tumor burden in ¹⁸F-PSMA PET/CT positive patients with PSA progression was higher than that in patients without PSA progression. 【Conclusion】 The whole body tumor burden of ¹⁸F-PSMA PET/CT is significantly correlated with PSA， which is helpful in predicting the serum PSA progression in prostate cancer. PSA can predict the positive rate of ¹⁸F-PSMA PET/CT to a certain extent. At the same time， PSA can also predict positive results of ¹⁸F-PSMA PET/CT to a certain extent， and guide clinical rational selection of this examination.