Exploration of phase angle used to construct PG-SGA nutritional assessment and prediction model for malignant tumor patients / 中华肿瘤杂志

Objective: To explore the value of phase angle (PA) in constructing a predictive model of nutrition evaluation for tumor patients. Methods: A retrospective analysis was performed on 1 129 patients with malignant tumors hospitalized in the Cancer Center of Changzhi People's Hospital from June 2020 to February 2021. PA values of six parts of the body were measured by the body composition analyzer, including: left arm (LA), right arm (RA), left leg (LL), right leg (RL), the trunk (TR), and the whole body (WB). Patients' body mass index (BMI) was calculated and patient-generated subjective global assessment (PG-SGA) was assessed. The differences of PA values of six parts were compared and their correlations with BMI and PG-SGA in combination with age, gender and tumor disease types were analyzed, binary classification regression on BMI and PG-SGA was performed, and the functions of the best prediction model was fitted. Decision tree, random forest, Akaike information criterion in a Stepwise Algorithm (stepAIC) and generalized likelihood ratio test were used to select appropriate variables, and the logit logistic regression model was used to fit the data. Results: Comparing the PA values of six parts in pairs, it was found that the PA values of LA and RA, LL and RL, and TR and WB were linearly correlated and the coefficient was close to 1 (P<0.001). Binary classification regression was performed for BMI and PG-SGA, respectively. In order to make the data have clinical significance, 18.5 kg/m(2) was used as the classification point for BMI, 4 and 9 were used as the classification points for PG-SGA score, and the models of A, B and C were obtained. Suitable variables including PA-LA, PA-TR and tumor disease types were used as variables to fit BMI classification; BMI, PA-LA and age were used as variables to fit the PG-SGA model with 9 as the classification point. PA-LA, PA-TR, BMI, age and tumor disease types were used as variables to fit the PG-SGA model with 4 as the classification point. In this study, the predicted values of models A, B and C obtained by R-studio were imported into SPSS 26.0 software, and the cut-off values of classification were obtained by the receiver operating characteristic (ROC) curve. The ROC analytic results showed that the best cut-off values of Model A, B and C were 0.155, 0.793 and 0.295. Model A recommended when the probability is >0.155, a patient's nutritiond tatus should be classified as BMI < 18.5 kg/m(2) group. Model B recommended that PG-SGA<9 group be classified as the probability is >0.793. Model C recommended that PG-SGA < 4 group should be classified when probability is >0.295. Conclusions: The PG-SGA classification prediction model is simple to operate, and the nutritional status of patients can be roughly divided into three groups: normal or suspected malnutrition group (PG-SGA<4), moderate malnutrition group (4≤PG-SGA<9), and severe malnutrition group (PG-SGA≥9). This model can more efficiently predict the nutritional status of cancer patients, greatly simplify the nutritional assessment process, and better guide the standardized treatment of clinical malnutrition.

Preliminary study of brain glucose metabolism changes in patients with lung cancer of different histological types / 中华医学杂志(英文版)

<p><b>BACKGROUND</b>Cerebral glucose metabolism changes are always observed in patients suffering from malignant tumors. This preliminary study aimed to investigate the brain glucose metabolism changes in patients with lung cancer of different histological types.</p><p><b>METHODS</b>One hundred and twenty patients with primary untreated lung cancer, who visited People's Hospital of Zhengzhou University from February 2012 to July 2013, were divided into three groups based on histological types confirmed by biopsy or surgical pathology, which included adenocarcinoma (52 cases), squamous cell carcinoma (43 cases), and small-cell carcinoma (25 cases). The whole body 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) of these cases was retrospectively studied. The brain PET data of three groups were analyzed individually using statistical parametric maps (SPM) software, with 50 age-matched and gender-matched healthy controls for comparison.</p><p><b>RESULTS</b>The brain resting glucose metabolism in all three lung cancer groups showed regional cerebral metabolic reduction. The hypo-metabolic cerebral regions were mainly distributed at the left superior and middle frontal, bilateral superior and middle temporal and inferior and middle temporal gyrus. Besides, the hypo-metabolic regions were also found in the right inferior parietal lobule and hippocampus in the small-cell carcinoma group. The area of the total hypo-metabolic cerebral regions in the small-cell carcinoma group (total voxel value 3255) was larger than those in the adenocarcinoma group (total voxel value 1217) and squamous cell carcinoma group (total voxel value 1292).</p><p><b>CONCLUSIONS</b>The brain resting glucose metabolism in patients with lung cancer shows regional cerebral metabolic reduction and the brain hypo-metabolic changes are related to the histological types of lung cancer.</p>

Association between matrix metalloproteinase-10 gene polymorphisms and instability of carotid plaque / 中华医学遗传学杂志

<p><b>OBJECTIVE</b>To assess the association between 2 single nucleotide polymorphisms (SNPs) located in exonic regions of matrix metalloproteinase-10 (MMP-10) gene and instability of carotid plaques in a Han Chinese population.</p><p><b>METHODS</b>Five hundred and eighty-five patients were divided into carotid vulnerable plaque group (n=206) and stable plaque group (n=379) based on results of carotid B-mode ultrasonography. The SNPs were genotyped by real-time polymerase chain reaction using an ABI 7300 TaqMan platform.</p><p><b>RESULTS</b>The distribution of rs17435959 between the two groups was significantly different at both genotypic (GC+CC vs. GG, P=0.006, OR=2.012) and allelic levels (C vs. G, P=0.001,OR=2.160). Above differences have remained significant with binary logistic regression analysis (P=0.007, OR=2.022; P=0.002, OR=2.104). The minor allele frequency of rs17293607 was 0.56%.</p><p><b>CONCLUSION</b>Above findings suggested that rs17435959 of the MMP-10 gene is associated with carotid vulnerable plaque in ethnic Chinese Hans. The C allele may be a susceptible predictor for carotid vulnerable plaque.</p>

Association between matrix metalloproteinase-8 -799C/T polymorphism and instability of carotid plaque / 中华医学遗传学杂志

<p><b>OBJECTIVE</b>To investigate the association between a -799C/T polymorphism in the promotor region of matrix metalloproteinase-8 (MMP-8) gene and instability of carotid plaque in Chinese Han population.</p><p><b>METHODS</b>A total of 451 acute infarction patients from the Department of Neurology of Taizhou Hospital were divided into carotid vulnerable plaque group and carotid stable plaque group according to the results of carotid B-mode ultrasonography. Serum MMP -8 level was measured by the means of enzyme-linked immunosorbent assay (ELISA). At the same time, the MMP-8 -799C/T polymorphism was determined by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method.</p><p><b>RESULTS</b>Serum level of MMP-8 in the carotid vulnerable plaque group was higher than that in the carotid stable plaque group (t= 2.894, P= 0.004). The genotype distribution of -799C/T polymorphism between the two groups was significantly different (Chi-square = 13.65, P= 0.000). Serum level of MMP-8 in patients with TT genotype was higher than that in patients with CC genotype (t= 3.141, P= 0.001).</p><p><b>CONCLUSION</b>The present study suggested that serum level of MMP-8 and the -799C/T polymorphism of MMP-8 gene are associated with carotid vulnerable plaque in Chinese Han population, and the T allele may be a predictor for the susceptibility of carotid vulnerable plaque.</p>