Objective To explore the effects of different side tension pneumothorax on hemodynamics in pigs,providing data support for the optimization of on-site first-aid procedures for pneumothorax.Methods Twelve Bama pigs were randomly divided into left-sided tension pneumothorax group and right-sided tension pneumothorax group(6 in each group).During the occurrence of pneumothorax and as the pleural pressure gradually increases by 1 mmHg increments,the key indicators were collected using pulse indicator continuous cardiac output(PICCO)technology:hemodynamic indicators[global ejection fraction(GEF),cardiac output(CO),global end-diastolic volume(GEDV),intrathoracic blood volume(ITBV),stroke volume(SV),mean arterial pressure(MAP)],basic vital signs[heart rate(HR),diastolic blood pressure(DBP),systolic blood pressure(SBP)],and arterial blood gas parameters[partial pressure of oxygen(PO2),partial pressure of carbon dioxide(PCO2)].Mediastinal localization was subsequently performed using radiographs.Differences were investigated through comparison between the two groups and within each group before and after the procedure.Results By comparing the hemodynamic changes and X-ray examination results,twelve Bama pigs tension pneumothorax models were successfully constructed.Hemodynamic analysis showed that in left-sided tension pneumothorax model when the pleural pressure reached 8 mmHg,SBP,DBP,MAP,CO,GEF,SV,GEDV and ITBV were significantly lower than those during the occurrence of ipsilateral pneumothorax(P<0.05).In right-sided tension pneumothorax model,when the pleural pressure reached about 3 mmHg,SBP,DBP,MAP,SV,GEDV,and ITBV were significantly lower than those during the occurrence of ipsilateral pneumothorax(P<0.05).Blood gas analysis showed that at 8 mmHg for left-sided and 3 mmHg for right-sided tension pneumothorax,compared with the occurrence of their respective ipsilateral pneumothorax,PO2 was significantly lower(P<0.05)and PCO2 was significantly higher(P<0.05).Conclusions There are different effects on hemodynamics in different side tension pneumothorax.Compared with left tension pneumothorax,right tension pneumothorax can lead to serious consequences under a smaller pleural pressure.Different side tension pneumothorax models can be constructed according to the actual situation when performing pneumothorax related experiments.

Objective To detect the uncontrolled new psychoactive tryptamines involved in drug-related cases with high resolution mass spectrometry and nuclear magnetic resonance spectroscopy. Methods White and brown powder obtained in actual cases were extracted and analyzed by gas chromatography-quadrupole time-of-flight mass spectrometry （GC-QTOF-MS）, ultra-high performance liquid chromatography-linear ion trap quadrupole-orbitrap mass spectrometry （UPLC-LTQ-Orbitrap MS） and ¹H-nuclear magnetic resonance spectroscopy （1H-NMR）. Results After detection by GC-QTOF-MS, the components of white powder showed main characteristic fragment ion peaks at m/z 218.141 0 （molecular ion peak）, 72.080 6 （base peak）, etc. After detection by UPLC-LTQ-Orbitrap MS, its protonated molecular ion was m/z 219.149 4. The main ions in the secondary mass spectrum under the collision-induced dissociation （CID） mode were m/z 160.076 3 and 72.080 8. After detection by GC-QTOF-MS, the components of brown powder showed main characteristic fragment ion peaks at m/z 246.135 7 （molecular ion peak）, 58.065 1 （base peak）, etc. After detection by UPLC-LTQ-Orbitrap MS, its protonated molecular ion was m/z 247.145 0. The main ions in the secondary mass spectrum under CID mode were m/z 202.087 1, 160.076 3 and 134.060 5. NIST 17 library retrieval and ¹H-NMR confirmed that the white powder and brown powder contained new psychoactive tryptamines 4-OH-MET and 4-AcO-DMT, respectively. Conclusion GC-QTOF-MS, UPLC-LTQ-Orbitrap MS and ¹H-NMR can be used together to identify unknown new psychoactive substances.
Chromatography, High Pressure Liquid ; Gas Chromatography-Mass Spectrometry ; Magnetic Resonance Spectroscopy ; Mass Spectrometry ; Tryptamines

Child ; Epigenesis, Genetic ; Humans ; Infant ; Neuroblastoma/genetics*

Humans ; Tumor-Associated Macrophages/pathology* ; Neuroblastoma/pathology*

OBJECTIVES: To establish a method to identify unknown sample based on the combined use of Fourier transform infrared spectroscopy (FTIR), gas chromatography-quadrupole time-of-flight mass spectrometry (GC-QTOF-MS), ultra-high performance liquid chromatography-linear ion trap quadrupole-orbitrap mass spectrometry (UPLC-LTQ-Orbitrap MS) and ¹H-nuclear magnetic resonance spectroscopy (¹H-NMR) technique. METHODS: The unknown sample was directly analyzed by FTIR. The unknown sample was dissolved in methanol solution containing internal standard SKF_525A and the supernatant was detected by GC-QTOF-MS and UPLC-LTQ-Orbitrap MS. The unknown sample was dissolved in methanol-d4 solution for structural analysis of ¹H-NMR. RESULTS: The characteristic absorption peaks of FTIR spectra obtained from unknown sample were 1 682 (C=O bond), 1 503, 1 488, 1 436, 1 363, 1 256, 1 092, 1 035, 935, 840 and 800 cm^-1, the characteristic fragment ions (m/z) of GC-QTOF-MS were 86.096 4 (base peak), 58.065 1, 149.023 5, 121.028 6 and 65.038 6, the accurate mass [M+H]⁺ detected by UPLC-LTQ-Orbitrap MS was 236.127 7. The sample was identified as synthetic cathinone new psychoactive substance Eutylone by ¹H-NMR. CONCLUSIONS The method established in this study can be used for structural confirmation of Eutylone.
Methanol ; Chromatography, High Pressure Liquid/methods* ; Mass Spectrometry ; Gas Chromatography-Mass Spectrometry/methods* ; Magnetic Resonance Spectroscopy

Novel series of limonin derivatives (V-A-1-V-A-8, V-B-1-V-B-8) were synthesized by adding various tertiary amines onto the C (7)-position of limonin. The synthesized compounds possessed favorable physicochemical property, and the intrinsic solubility of the novel compounds were significantly improved, compared with limonin. Different pharmacological models were used to evaluate the analgesic and anti-inflammatory activities of the target compounds. Compound V-A-8 exhibited the strongest in vivo activity among the novel limonin analogs; its analgesic activity was more potent than aspirin and its anti-inflammatory activity was stronger than naproxen under our testing conditions.
Analgesics ; administration & dosage ; chemical synthesis ; chemistry ; Animals ; Anti-Inflammatory Agents ; administration & dosage ; chemical synthesis ; chemistry ; Drug Discovery ; Edema ; drug therapy ; Humans ; Limonins ; administration & dosage ; chemical synthesis ; chemistry ; Mice ; Molecular Structure ; Pain ; drug therapy

Objective: To construct the diagnostic model of superficial esophageal squamous cell carcinoma (ESCC) and precancerous lesions in endoscopic images based on the YOLOv5l model by using deep learning method of artificial intelligence to improve the diagnosis of early ESCC and precancerous lesions under endoscopy. Methods: 13, 009 endoscopic esophageal images of white light imaging (WLI), narrow band imaging (NBI) and lugol chromoendoscopy (LCE) were collected from June 2019 to July 2021 from 1, 126 patients at the Cancer Hospital, Chinese Academy of Medical Sciences, including low-grade intraepithelial neoplasia, high-grade intraepithelial neoplasia, ESCC limited to the mucosal layer, benign esophageal lesions and normal esophagus. By computerized random function method, the images were divided into a training set (11, 547 images from 1, 025 patients) and a validation set (1, 462 images from 101 patients). The YOLOv5l model was trained and constructed with the training set, and the model was validated with the validation set, while the validation set was diagnosed by two senior and two junior endoscopists, respectively, to compare the diagnostic results of YOLOv5l model and those of the endoscopists. Results: In the validation set, the accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of the YOLOv5l model in diagnosing early ESCC and precancerous lesions in the WLI, NBI and LCE modes were 96.9%, 87.9%, 98.3%, 88.8%, 98.1%, and 98.6%, 89.3%, 99.5%, 94.4%, 98.2%, and 93.0%, 77.5%, 98.0%, 92.6%, 93.1%, respectively. The accuracy in the NBI model was higher than that in the WLI model (P<0.05) and lower than that in the LCE model (P<0.05). The diagnostic accuracies of YOLOv5l model in the WLI, NBI and LCE modes for the early ESCC and precancerous lesions were similar to those of the 2 senior endoscopists (96.9%, 98.8%, 94.3%, and 97.5%, 99.6%, 91.9%, respectively; P>0.05), but significantly higher than those of the 2 junior endoscopists (84.7%, 92.9%, 81.6% and 88.3%, 91.9%, 81.2%, respectively; P<0.05). Conclusion: The constructed YOLOv5l model has high accuracy in diagnosing early ESCC and precancerous lesions in endoscopic WLI, NBI and LCE modes, which can assist junior endoscopists to improve diagnosis and reduce missed diagnoses.
Artificial Intelligence ; Endoscopy/methods* ; Esophageal Neoplasms/pathology* ; Esophageal Squamous Cell Carcinoma/diagnostic imaging* ; Humans ; Narrow Band Imaging ; Precancerous Conditions/diagnostic imaging* ; Sensitivity and Specificity