Eight amide alkaloids(1-8) were isolated from the 70% ethanol extract of Cannabis Fructus using silica gel column chromatography, MCI column chromatography, and semi-preparative high-performance liquid chromatography(HPLC). Their structures were identified as hempspiramide A(1), N-[(4-hydroxyphenyl)ethyl]formamide(2), N-acetyltyramide(3), N-trans-p-coumaroyltyramine(4), N-trans-caffeoyltyramine(5), N-trans-feruloyltyramine(6), N-cis-p-coumaroyltyramine(7), N-cis-feruloyltyramine(8) by using spectroscopic methods such as NMR and MS. Among these compounds, compound 1 was a new amide alkaloid, while compounds 2 and 3 were isolated from Cannabis Fructus for the first time. Some of the isolates were assayed for their α-glucosidase inhibitory activity. Compounds 5-7 displayed significant inhibitory activity against α-glucosidase with IC_(50) values ranging from 1.07 to 4.63 μmol·L~(-1).
Cannabis/chemistry* ; Alkaloids/pharmacology* ; Amides/isolation & purification* ; Drugs, Chinese Herbal/isolation & purification* ; Fruit/chemistry* ; Molecular Structure ; alpha-Glucosidases/chemistry* ; Chromatography, High Pressure Liquid

OBJECTIVE: Cigarette smoking exacerbates the progression of pulmonary tuberculosis (TB). The role of tertiary lymphoid structures (TLS) in chronic lung diseases has gained attention; however, it remains unclear whether smoking-exacerbated lung damage in TB is associated with TLS. This study aimed to analyze the characteristics of pulmonary TLS in smokers with TB and to explore the possible role of TLS in smoking-related lung injury in TB. METHODS: Lung tissues from 36 male patients (18 smokers and 18 non-smokers) who underwent surgical resection for pulmonary TB were included in this study. Pathological and immunohistological analyses were conducted to evaluate the quantity of TLS, and chest computed tomography (CT) was used to assess the severity of lung lesions. The correlation between the TLS quantity and TB lesion severity scores was analyzed. The immune cells and chemokines involved in TLS formation were also evaluated and compared between smokers and non-smokers. RESULTS: Smoker patients with TB had significantly higher TLS than non-smokers ( P < 0.001). The TLS quantity in both the lung parenchyma and peribronchial regions correlated with TB lesion severity on chest CT (parenchyma: r = 0.5767; peribronchial: r = 0.7373; both P < 0.001). Immunohistochemical analysis showed increased B cells, T cells, and C-X-C motif chemokine ligand 13 (CXCL13) expression in smoker patients with TB ( P < 0.001). CONCLUSION Smoker TB patients exhibited increased pulmonary TLS, which was associated with exacerbated lung lesions on chest CT, suggesting that cigarette smoking may exacerbate lung damage by promoting TLS formation.
Humans ; Male ; Tuberculosis, Pulmonary/immunology* ; Middle Aged ; Tertiary Lymphoid Structures/pathology* ; Adult ; Lung/pathology* ; Smoking/adverse effects* ; Smokers ; Aged ; Tomography, X-Ray Computed

Objective To investigate the clinical and genetic features of children with 3-methylcrotonyl-coenzyme A carboxylase deficiency(MCCD).Methods A retrospective analysis was conducted on the clinical manifestations and genetic testing results of six children with MCCD who attended Children's Hospital Affiliated to Zhengzhou University from January 2018 to October 2023.Results Among the six children with MCCD,there were 4 boys and 2 girls,with a mean age of 7 days at the time of attending the hospital and 45 days at the time of confirmed diagnosis.Of all children,one had abnormal urine odor and five had no clinical symptoms.All six children had increases in blood 3-hydroxyisovaleryl carnitine and urinary 3-hydroxyisovaleric acid and 3-methylcrotonoylglycine,and five of them had a reduction in free carnitine.A total of six mutations were identified in the MCCC1 gene,i.e.,c.1630del(p.R544Dfs*2),c.269A>G(p.D90G),c.1609T>A(p.F537I),c.639+2T>A,c.761+1G>T,and c.1331G>A(p.R444H),and three mutations were identified in the MCCC2 gene,i.e.,c.838G>T(p.D280Y),c.592C>T(p.Q198*,366),and c.1342G>A(p.G448A).Among these mutations,c.269A>G(p.D90G)and c.1609T>A(p.F537I)had not been previously reported in the literature.There was one case of maternal MCCD,and the child carried a heterozygous mutation from her mother.Five children with a reduction in free carnitine were given supplementation of L-carnitine,and free carnitine was restored to the normal level at the last follow-up visit.Conclusions This study identifies two new mutations,c.269A>G(p.D90G)and c.1609T>A(p.F537I),thereby expanding the mutation spectrum of the MCCC1 gene.A combination of blood amino acid and acylcarnitine profiles,urine organic acid analysis,and genetic testing can facilitate early diagnosis and treatment of MCCD,and provide essential data for genetic counseling.

Myocardial fibrosis is a common pathological feature in various advanced cardiovascular diseases, and progressive fibrosis is the pathological basis for the development and progression of many cardiac arrhythmias and heart failure. There are no effective reversal drugs for myocardial fibrosis, which is related to the lack of understanding of the molecular mechanisms. Noncoding RNAs are a class of RNAs that do not function as coding proteins, and have been found to be intimately involved in the life cycle of cardiomyocyte differentiation, transcription and apoptosis, and are important regulators of cardiovascular diseases. An increasing number of studies have shown that noncoding RNAs regulate the proliferation and transformation of cardiac fibroblasts through related signaling pathways and can be used as potential biomarkers and novel therapeutic targets for cardiac fibrosis. This article reviews the relationship between noncoding RNAs and cardiac fibrosis.

ObjectiveTo develop and validate a predictive risk model for vision-threatening diabetic retinopathy in patients with type 2 diabetes using readily accessible clinical data， which may provide a convenient and effective prediction tool for early identification and referral of at-risk populations. MethodsA nomogram model was developed using a dataset obtained from patients with T2DM who participated in the Guangzhou Diabetic Eye Study from November 2017 to December 2020. Logistic regression was used to construct the model， and model performance was evaluated using receiver operating characteristic curve， Hosmer-Lemeshow test， calibration curve and decision curve analysis. The model underwent internal validation through the mean AUC of k-fold cross-validation method， and further external validation was conducted in the Dongguan Eye Study. ResultsA total of 2 161 individuals were included in the model development dataset， of whom 135 （6.25%） people were diagnosed with VTDR. Age （P＜0.001，OR=0.927，95%CI：0.898~0.957） and body mass index （P＜0.001，OR =0.845，95%CI：0.821~0.932） were found to be negatively correlated with VTDR， whereas diabetes duration （P＜0.001，OR=1.064，95%CI：1.035~1.094）， insulin use （P =0.045，OR =1.534，95%CI：1.010~2.332）， systolic blood pressure （P＜0.001，OR =1.019，95%CI：1.008~1.029）， glycated hemoglobin （P＜0.001，OR =1.484，95%CI：1.341~1.643）， and serum creatinine （P＜0.001，OR =1.017，95%CI：1.010~1.023） were positively correlated with VTDR. All these variables were included in the model as predictors. The model showed strong discrimination in the development dataset with an area under the receiver operating characteristic curve （AUC） of 0.797 and in the external validation dataset （AUC 0.762）. The Hosmer-Lemeshow test（P＞0.05）and the calibration curve displayed good agreement. Decision curve analysis showed that the nomogram produced net benefit in the two datasets. ConclusionsIndependent factors influencing VTDR include age， duration of diabetes mellitus， insulin use， body mass index， systolic blood pressure， glycosylated hemoglobin， and serum creatinine. The nomogram constructed using these variables demonstrates a high degree of predictive validity. The model can serve as a valuable tool for early detection and referral of VTDR in primary care clinics. Therefore， its application and promotion are highly recommended.

Purpose: Oxaliplatin, a component of the capecitabine plus oxaliplatin (XELOX) regimen, has a more favorable toxicity profile than cisplatin in patients with advanced gastric cancer (GC). However, oxaliplatin can induce sensory neuropathy and cumulative, dose-related toxicities. Thus, the capecitabine maintenance regimen may achieve the maximum treatment effect while reducing the cumulative neurotoxicity of oxaliplatin. This study aimed to compare the survival of patients with advanced GC between capecitabine maintenance and observation after 1st line XELOX chemotherapy. Materials and Methods: Sixty-three patients treated with six cycles of XELOX for advanced GC in six hospitals of the Catholic University of Korea were randomized 1:1 to receive capecitabine maintenance or observation. The primary endpoint was progression-free survival (PFS), analyzed using a two-sided log-rank test stratified at a 5% significance level. Results: Between 2015 and 2020, 32 and 31 patients were randomized into the maintenance and observation groups, respectively. After randomization, the median number of capecitabine maintenance cycles was 6. The PFS was significantly higher in the maintenance group than the observation group (6.3 vs. 4.1 months, P=0.010). Overall survival was not significantly different between the 2 groups (18.2 vs. 16.5 months, P=0.624). Toxicities, such as hand-foot syndrome, were reported in some maintenance group patients. Maintenance treatment was a significant factor associated with PFS in multivariate analysis (hazard ratio, 0.472; 95% confidence interval, 0.250–0.890; P=0.020). Conclusions After 6 cycles of XELOX chemotherapy, capecitabine maintenance significantly prolonged PFS compared with observation, and toxicity was manageable. Maintenance treatment was a significant prognostic factor associated with PFS.

Objective: To study the incidence of bloodstream infections, pathogen distribution, and antibiotic resistance profile in patients with hematological malignancies. Methods: From January 2018 to December 2021, we retrospectively analyzed the clinical characteristics, pathogen distribution, and antibiotic resistance profiles of patients with malignant hematological diseases and bloodstream infections in the Department of Hematology, Nanfang Hospital, Southern Medical University. Results: A total of 582 incidences of bloodstream infections occurred in 22,717 inpatients. From 2018 to 2021, the incidence rates of bloodstream infections were 2.79%, 2.99%, 2.79%, and 2.02%, respectively. Five hundred ninety-nine types of bacteria were recovered from blood cultures, with 487 (81.3%) gram-negative bacteria, such as Klebsiella pneumonia, Escherichia coli, and Pseudomonas aeruginosa. Eighty-one (13.5%) were gram-positive bacteria, primarily Staphylococcus aureus, Staphylococcus epidermidis, and Enterococcus faecium, whereas the remaining 31 (5.2%) were fungi. Enterobacteriaceae resistance to carbapenems, piperacillin/tazobactam, cefoperazone sodium/sulbactam, and tigecycline were 11.0%, 15.3%, 15.4%, and 3.3%, with a descending trend year on year. Non-fermenters tolerated piperacillin/tazobactam, cefoperazone sodium/sulbactam, and quinolones at 29.6%, 13.3%, and 21.7%, respectively. However, only two gram-positive bacteria isolates were shown to be resistant to glycopeptide antibiotics. Conclusions: Bloodstream pathogens in hematological malignancies were broadly dispersed, most of which were gram-negative bacteria. Antibiotic resistance rates vary greatly between species. Our research serves as a valuable resource for the selection of empirical antibiotics.
Humans ; Bacteremia/epidemiology* ; Cefoperazone ; Sulbactam ; Retrospective Studies ; Drug Resistance, Bacterial ; Microbial Sensitivity Tests ; Hematologic Neoplasms ; Sepsis ; Anti-Bacterial Agents/pharmacology* ; Gram-Negative Bacteria ; Gram-Positive Bacteria ; Piperacillin, Tazobactam Drug Combination ; Escherichia coli

Objective:To investigate the changes and clinical significance of multiple cytokine levels in exhaled breath condensate (EBC) in patients undergoing tracheotomy with severe inhalation injury.Methods:A prospective study was conducted. A total of 32 patients with severe burn combined with severe inhalation injury admitted to the department of burns and plastic surgery of Affiliated Suzhou Hospital of Nanjing Medical University from May 2021 to August 2022 were enrolled. Twenty healthy volunteers from the same period were served as controls. EBC of patients at 12 hours after burn and the samples of healthy controls were collected. The levels of 27 cytokines in EBC, including tumor necrosis factor-α (TNF-α) and interleukins (IL-1β, IL-6, IL-8, IL-10, and IL-17), were determined by liquid phase chip technology. Meanwhile, plasma of patients at 12 hours after burn and the plasma of volunteers were collected, and the levels of inflammatory cytokines were detected by liquid chip technology, and the differences between the levels in plasma and those in EBC were analyzed. Plasma and EBC of patients with aspiration injury were collected at 12 hours and 3, 7, 14 and 21 days after burn, and TNF-α levels were determined by enzyme-linked immunosorbent assay (ELISA).Results:Finally, 32 patients were enrolled, and the total burned area was (40±16)% of total body surface area (TBSA). The time of admission was (4.2±2.3) hours after injury. ① Twenty-seven cytokines in EBC: 18 kinds of cytokines including macrophage inflammatory protein-1β (MIP-1β), IL-6, IL-5, IL-2, IL-1β, IL-8, IL-10, IL-15, IL-9, interferon-γ (IFN-γ), IL-1 receptor antagonist (IL-1ra), TNF-α, chemotactic factor for eosinophil (Eotaxin), basic fibroblast growth factor (bFGF), platelet derived growth factor-BB (PDGF-BB), interferon-inducible protein-10 (IP-10), monocyte chemoattractant protein-1 (MCP-1), granulocyte colony-stimulating factor (G-CSF) were significantly increased in patients with severe aspiration injury compared with health controls. Eotaxin was not detected in EBC of healthy controls. Five cytokines, granulocyte-macrophage colony-stimulating factor (GM-CSF), chemokine ligand 5 (CCL5/RANTES), IL-13, IL-4 and MIP-1α, were not detected in EBC of severe inhalation injury patients and healthy controls. Vascular endothelial growth factor (VEGF) and IL-12 p70 in EBC of severe aspiration injury patients were slightly decreased as compared with healthy controls, while IL-7 and IL-17 were slightly increased, but the differences were not statistically significant. ② Six inflammatory cytokines in plasma: the levels of IL-6 and IL-8 in the severe aspiration injury group were significantly increased as compared with healthy controls [IL-6 (ng/L): 18.51 (10.87, 26.21) vs. 0.22 (0.10, 0.36), IL-8 (ng/L): 10.75 (8.58, 18.79) vs. 1.06 (0.81, 2.14), both P < 0.01]. The plasma levels of TNF-α, IL-1β and IL-10 were slightly increased in patients with severe aspiration injury as compared with healthy controls, and IL-17 was slightly decreased, but the difference was not statistically significant. In the EBC collected during the same period, five inflammatory cytokines, including TNF-α, IL-1β, IL-6, IL-8 and IL-10, in patients with severe inhalation injury were significantly increased as compared with healthy controls [TNF-α (ng/L): 16.42 (12.57, 19.21) vs. 7.34 (6.11, 8.69), IL-1β (ng/L): 15.57 (10.53, 20.25) vs. 0.99 (0.67, 1.41), IL-6 (ng/L): 13.36 (9.76, 16.54) vs. 0.70 (0.42, 0.85), IL-8 (ng/L): 1 059.29 (906.91, 1 462.37) vs. 10.36 (8.40, 12.37), IL-10 (ng/L): 2.69 (1.54, 3.33) vs. 1.54 (1.18, 2.06), all P < 0.05]. ③ Dynamic changes of TNF-α in plasma and EBC: the level of TNF-α in EBC of patients with severe aspiration injury was lower than that in plasma. Plasma TNF-α level was increased gradually with the extension of time after injury, and was significantly higher than that of healthy controls on day 3 [ng/L: 30.38 (24.32, 39.19) vs. 22.94 (17.15, 30.74), P < 0.05], and reached the peak on day 14, then fell back. The level of TNF-α in EBC at 12 hours after injury was significantly higher than that in healthy controls [ng/L: 15.34 (11.75, 18.14) vs. 6.99 (6.53, 7.84), P < 0.01], and reached the peak on 3 days after injury, and then gradually decreased. Conclusion:There are changes in the expression of multiple cytokines in EBC of patients with severe inhalation injury, and the changes of many inflammatory cytokines including TNF-α are more sensitive than those in plasma, which can be used to monitor and evaluate the condition of patients with inhalation injury.