OBJECTIVE: To investigate the associations between eight serum per- and polyfluoroalkyl substances (PFASs) and regional fat depots, we analyzed the data from the National Health and Nutrition Examination Survey (NHANES) 2011-2018 cycles. METHODS: Multiple linear regression models were developed to explore the associations between serum PFAS concentrations and six fat compositions along with a fat distribution score created by summing the concentrations of the six fat compositions. The associations between structurally grouped PFASs and fat distribution were assessed, and a prediction model was developed to estimate the ability of PFAS exposure to predict obesity risk. RESULTS: Among females aged 39-59 years, trunk fat mass was positively associated with perfluorooctane sulfonate (PFOS). Higher concentrations of PFOS, perfluorohexane sulfonate (PFHxS), perfluorodecanoate (PFDeA), perfluorononanoate (PFNA), and n-perfluorooctanoate (n-PFOA) were linked to greater visceral adipose tissue in this group. In men, exposure to total perfluoroalkane sulfonates (PFSAs) and long-chain PFSAs was associated with reductions in abdominal fat, while higher abdominal fat in women aged 39-59 years was associated with short-chain PFSAs. The prediction model demonstrated high accuracy, with an area under the curve (AUC) of 0.9925 for predicting obesity risk. CONCLUSION PFAS exposure is associated with regional fat distribution, with varying effects based on age, sex, and PFAS structure. The findings highlight the potential role of PFAS exposure in influencing fat depots and obesity risk, with significant implications for public health. The prediction model provides a highly accurate tool for assessing obesity risk related to PFAS exposure.
Humans ; Fluorocarbons/blood* ; Female ; Adult ; Middle Aged ; Male ; Environmental Pollutants/blood* ; Abdominal Fat ; Nutrition Surveys ; Alkanesulfonic Acids/blood* ; Obesity ; Environmental Exposure

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Objective To explore the influencing factors of acute kidney injury in severe burn patients,and to construct a visual risk nomogram model.Methods A total of 390 patients with severe burn admitted to the Institute of Burn Frostbite and Tissue Function Reconstruction of Chinese People's Armed Police Force Specialty Medical Center from January 2018 to January 2022 were collected as an internal training data set,and 50 patients with severe burn admitted from February to December 2022 were collected as an external validation data set.The 390 patients of the internal training data set were divided into the acute kidney injury group and the non-acute kidney injury group according to the occurrence of acute kidney injury,and the baseline data of patients in the two groups were compared.Univariate and multivariate Logistic regression were used to analyze the risk factors of acute kidney injury in severe burn patients of the internal training data set,and a nomogram model was drawn.Subsequently,the model was verified both internally and externally.Kaplan-Meier analysis and Log-rank test were used to compare the 90-day survival rate of patients between the acute kidney injury group and the non-acute kidney injury group.Results The burn area(OR=1.18,95%CI:1.06 to 2.36,P=0.004),sequential organ failure assessment(SOFA)score(OR=1.81,95%CI:1.21 to 5.92,P<0.001),inhalation injury(OR=3.21,95%CI:1.23 to 6.35,P<0.001),neutrophil to lymphocyte ratio(NLR)(OR=1.22,95%CI:1.05 to 3.65,P<0.001)and albumin(ALB)(OR=0.78,95%CI:0.57 to 0.92,P=0.011)were the independent risk factors for the development of acute kidney injury in severe burn patients.The nomogram model was established by the above factors.The area under the receiver operating characteristic curve(AUC)of the internal training data set was 0.833(95%CI:0.752 to 0.935),the sensitivity was 81.2%,and the specificity was 83.2%.The AUC of the external validation data set was 0.842(95%CI:0.762 to 0.912),the sensitivity 87.2%,and the specificity was 78.7%.The 90-day survival rate of patients in the acute kidney injury group after burns was significantly lower than that in the non-acute kidney injury group(P<0.001).Conclusion Larger burn area,higher SOFA score,combined inhalation injury,increased NLR,and decreased ALB level are the risk factors for the occurrence of acute kidney injury in severe burn patients,which are related to the 90-day survival rate of patients after burns.The nomogram model based on the risk factors can provide certain reference for clinical individualized prevention and treatment of acute kidney injury in severe burn patients.

Aim To explore the effect of kaempferol-7- 0-neohesperidoside (K70N) against prostate cancer (PCa) and the underlying mechanism. Methods The effect of K70N on the proliferation of PCa cell lines PC3, DU145, C4-2 and LNCaP was detected using CCK8 assay. The effect of K70N on migration ability of DU145 cells was determined by wound healing assay. The targets of K70N and PCa were screened from SuperPred and other databases. The common targets both related to K70N and PCa were obtained from the Venny online platform, a protein-protein interaction network (PPI) was constructed by the String and Cyto- scape. Meanwhile, the GO and KEGG functional enrichment were analyzed by David database. Then, a "drug-target-disease-pathway" network model was constructed. Cell cycle of PCa cells treated with K70N was analyzed by flow cytometry. The expressions of cycle-associated proteins including Skp2, p27 and p21 protein were detected by Western blot. Molecular docking between Skp2 and K70N was conducted by Sybyl X2. 0. Results K70N significantly inhibited the proliferation and migration of PCa cells. A total number of 34 drug-disease intersection targets were screened. The String results showed that Skp2 and p27, among the common targets, were the key targets of K70N for PCa treatment. Furthermore, GO and KEGG functional en-richment indicated that the mechanism was mainly related to the cell cycle. Flow cytometry showed that K70N treatment induced cell cycle arrest at the S phase. Compared with the control group, the protein expression level of Skp2 was significantly down-regulated, while the protein expression levels of p27 and p21 were up-regulated. The network molecular docking indicated that the ligand K70N had a good binding ability with the receptor Skp2. Conclusions K70N could inhibit the proliferation and migration of PCa cells, block the cell cycle in the S phase, which may be related to the regulation of cell cycle through the Skp2- p27/p21 signaling pathway.

Objective To observe the therapeutic effect and mechanism of Guhuaisi Kangfu Pills on rats with steroid-induced osteonecrosis of the femoral head(SONFH).Methods Sixty rats were randomly divided into blank group,model group,Xianling Gubao Capsules group and Guhuaisi Kangfu Pills low-,medium-and high-dose groups,10 rats in each group.Except for the blank group,the SONFH model was established by lipopolysaccharide combined with Glucocorticoid induction method in all other groups of rats.At the end of the intervention,for the femoral head,blood vessel radiography was performed to observe the microvascular changes in the bone marrow,and hematoxylin-eosin(HE)staining and calculation of the empty bone trap rate,Micro-CT scanning analysis,and compression experiments were carried out,and the real-time quantitative polymerase chain reaction(RT-qPCR)was used to detect the gene expressions of phosphatidylinositol 3-kinase(PI3K),protein kinase B(Akt)1,vascular endothelial growth factor(VEGF)and platelet endothelial cell adhesion molecule 1(CD31)in whole blood.Results Compared with the blank group,the blood supply in the femoral head medullary cavity of the model group was poor,the empty bone lacuna rate was increased(P＜0.05),the bone mineral density and bone volume fraction were significantly decreased(P＜0.05),the maximum load and elastic modulus of the femoral head were decreased(P＜0.05),and the mRNA expression levels of Akt1,PI3K,VEGF and CD31 in whole blood were decreased(P＜0.05).Compared with the model group,the blood supply in the femoral head medullary cavity was relatively good,the empty bone lacuna rate was decreased(P＜0.05),the bone mineral density,bone volume fraction,trabecular number and trabecular thickness were significantly increased(P＜0.05),the trabecular separation was significantly decreased(P＜0.05),the maximum load and elastic modulus of the femoral head were increased(P＜0.05),and the mRNA expression levels of Akt1,PI3K,VEGF and CD31 in the whole blood were increased(P＜0.05)in the high-dose group of Guhuaisi Kangfu Pills and Xianling Gubao Capsules group.There was no significant difference in the above indexes between the high-dose group of Guhuaisi Kangfu Pills and the Xianling Gubao Capsules group(P＞0.05).Conclusion Guhuaisi Kangfu Pills improves SONFH in rats,and its mechanism is related to the promotion of VEGF/PI3K/Akt pathway gene expression,thereby promoting angiogenesis.

Objective To investigate the relationship between appendicular skeletal muscle composition(muscle mass and muscle index)and glycosylated hemoglobin A1c(HbA1c)level in type 2 diabetes mellitus(T2DM)patients.Methods A total of 459 adult T2DM patients hospitalized in the Department of Endocrinology,Tangdu Hospital of Air Force Medical University from April 2021 to June 2022 were selected as the research objects.Bioelectrical impedance analysis was used to evaluate the body composition of the patients.The patients were divided into two groups according to HbA1c level:standard glycation group(HbA1c≤7.0%,n=145)and unqualified glycation group(HbA1c>7.0%,n=314).The two groups'general data,biochemical indexes,muscle content,fat content and other body composition were analyzed.Spearman correlation analysis and multiple logistic regression analysis were used to analyze the relationship between body composition and glycemic control in type 2 diabetic patients.Results The appendicular skeletal muscle mass and its index(ASMI)of the patients in the standard glycation group were better than those in the unqualified glycation group(P<0.05).However,there were no significant differences in gender,history of antidiabetic drugs and body fat(body fat content,limb fat content and visceral fat content)between the two groups(P>0.05).Spearman correlation analysis showed that appendicular skeletal muscle mass and its index were negatively correlated with HbA1c(r=-0.158,P=0.001;r=-0.187,P<0.001).Logistic regression analysis showed that upper limb skeletal muscle mass(OR=3.570,95%CI 2.293-5.559)and lower limb skeletal muscle mass(OR=1.297,95%CI 1.146-1.468)were independent protective factors for achieving glycation standard in HbA1c group.Conclusions The skeletal muscle mass of limbs is a protective factor for reaching the standard of HbA1c.With the increase of skeletal muscle mass of limbs,the level of HbA1c gradually decreases.Among them,the increase of upper limb muscle mass has a stronger correlation with reaching the standard of HbA1c.

Objective To observe the therapeutic efficacy and mechanism of Gushi Zaizao Pills for steroid-induced osteonecrosis of the femoral head(SONFH).Methods Male SD rats were randomly divided into normal group,model group,Xianling Gubao Capsules group and Gushi Zaizao Pills group.Except for the normal group,the rats in all other groups were replicated the SONFH model.After successful modeling,the continuous drug administration was carried out for six weeks.The thymus and spleen of the rats were taken to calculate the immune organ indices,the contents of interleukin 1β(IL-1β)and tumor necrosis factor α(TNF-α)in rat synovial fluid were detected by enzyme-linked immunosorbent assay(ELISA),the percentage of empty lacunae and area ratio of trabecular bone was detected by hematoxylin-eosin(HE)staining,and the femoral head parameters[reduction of bone volume fraction(BV/TV),trabecular number(Tb.N),trabecular thickness(Tb.Th)and trabecular separation(Tb.Sp)]were analyzed by Micro-CT,and bone strength of femoral head was detected by small animal bone strength tester.Results Compared with the normal group,the spleen and thymus indicators were significantly decreased in the model group,the levels of IL-1β and TNF-α in rat synovial fluid were significantly increased,the percentage of empty lacunae was increased,the area ratio of trabecular bone was decreased,the BV/TV,Tb.N and Tb.Th were decreased,the Tb.Sp was increased,the bone strength of femoral head was significantly decreased,the differences being all statistically significant(P＜0.05 or P＜0.01).Compared with the model group,the spleen and thymus indicators were significantly increased in Xianling Gubao Capsules group and Gushi Zaizao Pills group,the levels of IL-1β and TNF-α in rat synovial fluid were decreased,the percentage of empty lacunae was significantly decreased,the area ratio of trabecular bone was significantly increased,the BV/TV,Tb.N and Tb.Th were increased,the Tb.Sp was decreased,and the bone strength of femoral head was significantly increased,the differences being all statistically significant(P＜0.05 or P＜0.01).Conclusion Gushi Zaizao Pills can effectively prevent the further development of SONFH by regulating cellular immunity and reducing the secretion of inflammatory factors,thereby reducing the pathological damage of the femoral head and enhancing the bone strength.

Non-alcoholic fatty liver disease (NAFLD) has replaced chronic hepatitis B as the most common chronic liver disease in China and has now been renamed metabolic dysfunction-associated fatty liver disease (MAFLD). The Brunt, the American NASH Clinical Research Network (NASH-CRN), the European Steatosis, Activity, and Fibrosis/Fatty Liver Inhibition of Progression (SAF/FLIP), and the Pediatric NAFLD are currently the four semi-quantitative grading systems for histological evaluation. This paper reviews these four scoring systems for the clinical selection of appropriate systems for diagnosis and prognosis assessment. This article is a review, and in order to coordinate the evaluation criteria of various scoring systems, the old name "NAFLD" is used.
Humans ; Child ; Non-alcoholic Fatty Liver Disease/pathology* ; Liver/pathology* ; Severity of Illness Index ; Biopsy ; Fibrosis

This study aimed to explore the anti-inflammatory material basis and molecular mechanism of Artemisia stolonifera based on the analysis of the chemical components in different extracted fractions of A. stolonifera and their antioxidant and anti-inflammatory effects in combination with network pharmacology and molecular docking. Thirty-two chemical components were identified from A. stolonifera by ultra-performance liquid chromatography coupled to tandem quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF-MS). Among them, there were 7, 21 and 22 compounds in water, n-butanol and ethyl acetate fractions, respectively. The antio-xidant capacity of different extracted fractions was evaluated by measuring their scavenging ability against 1,1-diphenyl-2-picrylhydrazyl radical 2,2-diphenyl-1-(2,4,6-trinitrophenyl) hydrazyl(DPPH) and 2,2'-azinobis-(3-ethylbenzthiazoline-6-sulphonic acid)(ABTS) free radicals and total antioxidant capacity [ferric reducing antioxidant power(FRAP) assay]. The inflammatory model of RAW264.7 cells was induced by lipopolysaccharide(LPS), and the levels of nitrite oxide(NO), tumor necrosis factor-α(TNF-α), interleukin-6(IL-6) in the supernatant and the mRNA expression of related inflammatory factors in cells were used to evaluate the anti-inflammatory effects. The results revealed that ethyl acetate fraction of A. stolonifera was the optimal antioxidant and anti-inflammatory fraction. By network pharmacology, it was found that flavonoids such as rhamnazin, eupatilin, jaceosidin, luteolin and nepetin could act on key targets such as TNF, serine/threonine protein kinase 1(AKT1), tumor protein p53(TP53), caspase-3(CASP3) and epidermal growth factor receptor(EGFR), and regulate the phosphatidylinositol-3-kinase-protein kinase B(PI3K-AKT) and mitogen-activated protein kinase(MAPK) signaling pathways to exert the anti-inflammatory effects. Molecular docking further indicated excellent binding properties between the above core components and core targets. This study preliminarily clarified the anti-inflammatory material basis and mechanism of ethyl acetate fraction of A. stolonifera, providing a basis for the follow-up clinical application of A. stolonifera and drug development.
Antioxidants/chemistry* ; Molecular Docking Simulation ; Artemisia ; Network Pharmacology ; Phosphatidylinositol 3-Kinases ; Anti-Inflammatory Agents/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Interleukin-6

Objective: To identify the risk factors in mortality of pediatric acute respiratory distress syndrome (PARDS) in pediatric intensive care unit (PICU). Methods: Second analysis of the data collected in the "efficacy of pulmonary surfactant (PS) in the treatment of children with moderate to severe PARDS" program. Retrospective case summary of the risk factors of mortality of children with moderate to severe PARDS who admitted in 14 participating tertiary PICU between December 2016 to December 2021. Differences in general condition, underlying diseases, oxygenation index, and mechanical ventilation were compared after the group was divided by survival at PICU discharge. When comparing between groups, the Mann-Whitney U test was used for measurement data, and the chi-square test was used for counting data. Receiver Operating Characteristic (ROC) curves were used to assess the accuracy of oxygen index (OI) in predicting mortality. Multivariate Logistic regression analysis was used to identify the risk factors for mortality. Results: Among 101 children with moderate to severe PARDS, 63 (62.4%) were males, 38 (37.6%) were females, aged (12±8) months. There were 23 cases in the non-survival group and 78 cases in the survival group. The combined rates of underlying diseases (52.2% (12/23) vs. 29.5% (23/78), χ²=4.04, P=0.045) and immune deficiency (30.4% (7/23) vs. 11.5% (9/78), χ²=4.76, P=0.029) in non-survival patients were significantly higher than those in survival patients, while the use of pulmonary surfactant (PS) was significantly lower (8.7% (2/23) vs. 41.0% (32/78), χ²=8.31, P=0.004). No significant differences existed in age, sex, pediatric critical illness score, etiology of PARDS, mechanical ventilation mode and fluid balance within 72 h (all P>0.05). OI on the first day (11.9(8.3, 17.1) vs.15.5(11.7, 23.0)), the second day (10.1(7.6, 16.6) vs.14.8(9.3, 26.2)) and the third day (9.2(6.6, 16.6) vs. 16.7(11.2, 31.4)) after PARDS identified were all higher in non-survival group compared to survival group (Z=-2.70, -2.52, -3.79 respectively, all P<0.05), and the improvement of OI in non-survival group was worse (0.03(-0.32, 0.31) vs. 0.32(-0.02, 0.56), Z=-2.49, P=0.013). ROC curve analysis showed that the OI on the thind day was more appropriate in predicting in-hospital mortality (area under the curve= 0.76, standard error 0.05,95%CI 0.65-0.87,P<0.001). When OI was set at 11.1, the sensitivity was 78.3% (95%CI 58.1%-90.3%), and the specificity was 60.3% (95%CI 49.2%-70.4%). Multivariate Logistic regression analysis showed that after adjusting for age, sex, pediatric critical illness score and fluid load within 72 h, no use of PS (OR=11.26, 95%CI 2.19-57.95, P=0.004), OI value on the third day (OR=7.93, 95%CI 1.51-41.69, P=0.014), and companied with immunodeficiency (OR=4.72, 95%CI 1.17-19.02, P=0.029) were independent risk factors for mortality in children with PARDS. Conclusions: The mortality of patients with moderate to severe PARDS is high, and immunodeficiency, no use of PS and OI on the third day after PARDS identified are the independent risk factors related to mortality. The OI on the third day after PARDS identified could be used to predict mortality.
Female ; Male ; Humans ; Child, Preschool ; Infant ; Child ; Critical Illness ; Pulmonary Surfactants/therapeutic use* ; Retrospective Studies ; Risk Factors ; Respiratory Distress Syndrome/therapy*