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

AIM To optimize the extraction process for uracil,hypoxanthine,xanthine,uridine,thymine,inosine,guanosine and 2'-deoxyguanosine from Pheretima guillelmi(Michaelsen),and to determine their contents.METHODS With solid-liquid ratio,ultrasonic time and ultrasonic temperature as influencing factors,contents of hypoxanthine and total nucleosides as evaluation indices,the extraction process was optimized by orthogonal test.HPLC was adopted in the content determination of varioud nucleosides,the analysis was performed on a 30℃thermostatic Agilent C18 column(4.6 mm×250 mm,5 μm),with the mobile phase comprising of methanol-water flowing at 1 mL/min in a gradient elution manner,and the detection wavelength was set at 260 nm.RESULTS The optimal conditions were determined to be 1∶250 for solid-liquid ratio,60 min for ultrasonic time,and 60℃for ultrasonic temperature.Eight nucleosides showed good linear relationships within their own ranges(R2＞0.999 0),whose average recoveries were 99.11%-103.27%with the RSDs of 0.85%-2.89%.CONCLUSION This stable and reliable method can be used for the extraction and content determination of nucleosides from P.guillelmi.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

OBJECTIVE: To investigate the distribution and antimicrobial susceptibility of causative microorganisms recovered from patients with intra-abdominal infections (IAIs). METHODS: A total of 2,926 bacterial and fungal strains were identified in samples collected from 1,679 patients with IAIs at the Peking Union Medical College Hospital between 2011 and 2021. Pathogenic bacteria and fungi were identified using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Antimicrobial susceptibility testing (AST) was performed using the VITEK 2 compact system and the Kirby-Bauer method. AST results were interpreted based on the M100-Ed31 clinical breakpoints of the Clinical and Laboratory Standards Institute. RESULTS: Of the 2,926 strains identified, 49.2%, 40.8%, and 9.5% were gram-negative bacteria, gram-positive bacteria, and fungi, respectively. Escherichia coli was the most prevalent pathogen in intensive care unit (ICU) and non-ICU patients; however, a significant decrease was observed in the isolation of E. coli between 2011 and 2021. Specifically, significant decreases were observed between 2011 and 2021 in the levels of extended-spectrum β-lactamase (ESBL)-producing E. coli (from 76.9% to 14.3%) and Klebsiella pneumoniae (from 45.8% to 4.8%). Polymicrobial infections, particularly those involving co-infection with gram-positive and gram-negative bacteria, were commonly observed in IAI patients. Moreover, Candida albicans was more commonly isolated from hospital-associated IAI samples, while Staphylococcus epidermidis had a higher ratio in community-associated IAIs. Additionally, AST results revealed that most antimicrobial agents performed better in non-ESBL-producers than in ESBL-producers, while the overall resistance rates (56.9%-76.8%) of Acinetobacter baumanmii were higher against all antimicrobial agents than those of other common gram-negative bacteria. Indeed, Enterococcus faecium, Enterococcus faecalis, S. epidermidis, and S. aureus were consistently found to be susceptible to vancomycin, teicoplanin, and linezolid. Similarly, C. albicans exhibited high susceptibility to all the tested antifungal drugs. CONCLUSION The distribution and antimicrobial susceptibility of the causative microorganisms from patients with IAIs were altered between 2011 and 2021. This finding is valuable for the implementation of evidence-based antimicrobial therapy and provides guidance for the control of hospital infections.
Humans ; Anti-Bacterial Agents ; Escherichia coli ; Gram-Negative Bacteria ; Gram-Positive Bacteria ; Retrospective Studies ; Staphylococcus aureus ; Intraabdominal Infections/epidemiology* ; Candida albicans ; Coinfection

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*

Animals ; Rats ; Explosions ; Proteomics ; Autophagy

Objective To observe the effect of polyinosinic-polycytidylic acid ( Poly-IC ) treatment on the expressions of Bcl-2 and Bax after cerebral ischemia-reperfusion ( I / R ) injury in fryperlipidemia rats, and to detect the cerebral infarction, blood-brain barrier permeability and behavioral injury symptoms, to explore the neuroprotective effect of Poly-IC treatment on cerebral I /R injury in fryperlipidemia rats. Methods Hyperlipidemia rats were randomly divided into cerebral I /R group, Poly-IC pretreatment group, Poly-IC post-treatment group and sham operation group, 20 rats in each group. Neurobehavioral performance of rats in each group was recorded according to neurobehavioral score of 0-4 points. Blood-brain barrier permeability of rats in each group was detected by Evans blue staining. TTC staining was used to observe the cerebral infarction in each group. Apoptotic cells in the cerebral cortex of rats in each group was observed by TUNEL staining. The relative expression levels of Bcl-2 and Bax were determined by Western blotting. Results Compared with the sham group, the symptoms of neurobehavioral damage in the I/R group were serious and the score increased significantly (P<0. 05). The scores of Poly-IC pretreatment and post-treatment groups were significantly lower than that of I/R group (P<0. 05). Evans blue staining result showed that the blood-brain barrier permeability of the I/R group was significantly higher than that of the sham group (P<0. 05) , and Poly-IC pretreatment or post-treatment could significantly reduce the blood-brain barrier permeability ( P < 0. 05 ) . No infarct was observed in the sham group with uniform red staining, while white infarct was observed in the brain tissue of the I/R group. Compared with the I/R group, the volume of infarct in both Poly-IC pretreatment and post-treatment groups reduced significantly (P<0. 05). The apoptosis index in cerebral cortex of rats in I/R group was significantly higher than that in sham group ( P < 0 .05 ) , while the apoptosis index in Poly-IC pretreatment or post-treatment group was significantly lower than that in I/R group(P<0. 05 ) . The result of Western blotting showed that, compared with the sham group, the expression of Bax in the I/R group was significantly increased(P<0. 05) , the expression of Bcl-2 was significantly decreased(P<0. 05). Compared with the I/R group, the expression of Bax in the Poly-IC pretreatment or post-treatment group reduced significantly ( P < 0. 05 ) , the expression of Bcl-2 increased significantly(P<0. 05). Conclusion Poly-IC pretreatment or post-treatment can improve the symptoms of neurobehavioral injury, reduce the damage of blood-brain barrier, reduce the volume of cerebral infarction, decrease the apoptosis index of nerve cells, play a neuroprotective effect on cerebral ischemia reperfusion injury in rats with hyperlipidemia, and this protective effect may be related to the change of Bcl-2 and Bax expression levels.

Objective To detecte the expressions of phosphorylated p38 MAPK (p-p38 MAPK), Bax and Bcl-2 in the cerebral cortex of hyperlipidemia rats after cerebral ischemia-reperfusion (I/R) injury and the effect of SB203580 on the expressions of p-p38 MAPK, Bax and Bcl-2, to explore the effect of p38 MAPK activation on the expressions of Bax and Bcl-2 in hyperlipidemia cerebral I/R injury. Methods After the hyperlipidemia model was established, the rats were randomly divided into 3 groups: sham operation group, operation group (I/R) and SB203580 treatment group (SB+I/R), with 10 rats in each group. The focal cerebral I/R model in hyperlipemia rats was established with thread embolism of the left middle cerebral artery. The neurobehavioral score was used to observe the symptoms of neurobehavioral injury. The 2, 3, 5-triphenyltetrazolium chloride (TTC) staining was used to detect the volume of cerebral infarction, and the TUNEL staining was used to observe apoptotic cells. The relative expression levels of p-p38 MAPK, Bax and Bcl-2 were analyzed by immunohistochemistry. Results Compared with the sham group, the infarct volume, apoptosis index and neurobehavioral score of rats in the I/R group increased significantly, and the expressions of p-p38 MAPK and Bax increased significantly, and the expression of Bcl-2 decreased significantly (P<0. 05). Compared with the I/R group, rats in the SB+I/R group had less brain damage, the infarct volume and the apoptosis index were significantly reduced, the expressions of p-p38 MAPK reduced significantly, Bax expression decreased while Bcl-2 expression increased. The differences were statistically significant (P<0. 05). Neurobehavioral scores were lower in SB+I/R group than in I/R group, but the difference was not statistically significant. Conclusion In the process of cerebral I/R injury in hyperlipidemiarats, activation of p38 MAPK can regulate the expression of Bax and Bcl-2.

Diabetic nephropathy （DN） is one of the serious microvascular complications of diabetes mellitus （DM），and is the main cause of end-stage renal disease（ESRD） worldwide. Although lowering blood glucose and，lowering blood pressure and blocking the renin-angiotensin-aldosterone system（RAAS） can reduce blood glucose，blood pressure and urinary protein to a certain extent，it is still difficult to prevent the progression of DN sometimes. The curative effect of traditional Chinese medicine on DN has been confirmed，but its mechanism is has not been fully clarified. Autophagy is a highly conserved lysosomal degradation pathway in mammals that removes protein aggregates and damaged organelles to maintain cell homeostasis. Podocyte，also known as glomerular epithelial cells，is an important component in maintaining the homeostasis of glomerular filtration barrier，and podocyte injury is considered to be a central link in the occurrence and development of DN. As a highly differentiated cell，podocyte maintains a high level of autophagy to maintain its homeostasis under physiological conditions. In DN state，mammalian target of rapamycin （mTOR），AMP-activated protein kinase （AMPK），silent information regulator 1（SIRT1） and other nutritional signaling pathways as well as intracellular stress response signaling pathways such as oxidative stress，endoplasmic reticulum stress ，and hypoxia stress，etc.，affect podocyte autophagy of podocytes， and ultimately leading to podocyte injury and the progression of DN. In recent years，regulation of podocyte autophagy has become one of the hot spots in DN research，and has also received extensive attention in the field of Chinese medicine. A review and summary of the domestic and international literature in this field reveals that Chinese medicine can affect podocyte autophagy in multiple pathways and targets. Nevertheless， those studiesbut mainly focuses on two nutrient-sensing signaling pathways，mTOR and AMPK，and there lacks more comprehensive and in-depth mechanism studies. In addition，the current research mainly concentrates focuses on the field of Chinese medicine monomers and Chinese medicine compounds，and rarely studies multi-component Chinese medicinelacking research on Chinese medicine component drugs and single drugs，and the research still lacks there is a lack of hierarchy. The regulatory mechanism of Chinese medicine on podocyte autophagy of podocytes in DN state in Chinese medicine still needs to be further studied in depth and systematically.

Humans ; Homicide ; Forensic Pathology