AIM:To investigate the value of optical coherence tomography angiography(OCTA)indicators in the diagnosis of diabetic retinopathy(DR), and to provide patients with diabetic nephropathy(DN)with more sensitive OCTA screening indicators to detect concurrent DR at an early stage.METHODS: A total of 200 patients who treated in the ophthalmology department of the Seventh Affiliated Hospital, Sun Yat-sen University from 2022 to 2023 were included, including 95 first-diagnosed DR patients and 105 patients without DR, and all patients underwent OCTA examination and a collection of demographics and renal function parameters. After a quality check, automated measurements of the foveal avascular zone area, vessel density(VD), and perfusion density(PD)of both 3 mm×3 mm and 6 mm×6 mm windows were obtained.RESULTS: Using random forest and multivariate Logistic regression methods, we developed a diagnostic model for DR based on 12 variables(age, FBG, SBP, DBP, HbA1c, ALT, ALP, urea/Scr, DM duration, HUA, DN, and CMT). Adding specific OCTA parameters enhanced the efficacy of the existing diagnostic model for DR(outer vessel density in 6 mm×6 mm window, AUC=0.837 vs 0.819, P=0.03). In the study of DN patients, the parameters in the 6 mm×6 mm window improved the diagnostic efficacy of DR(inner VD; outer VD; full VD; outer PD; full PD).CONCLUSION:The outer VD in the 6 mm×6 mm window can enhance the efficacy of the traditional DR diagnostic model. Meanwhile, compared with the 3 mm×3 mm window, the microvascular parameters in the 6 mm× 6 mm window focusing on DN patients can be more sensitive to diagnosing the occurrence of DR.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

BACKGROUND: The effects of human umbilical cord-derived mesenchymal stem cell (UC-MSC) treatment on coronavirus disease 2019 (COVID-19) patients have been preliminarily characterized. However, real-world data on the safety and efficacy of intravenous transfusions of MSCs in hospitalized COVID-19 patients at the convalescent stage remain to be reported. METHODS: This was a single-arm, multicenter, real-word study in which a contemporaneous external control was included as the control group. Besides, severe and critical COVID-19 patients were considered together as the severe group, given the small number of critical patients. For a total of 110 patients, 21 moderate patients and 31 severe patients were enrolled in the MSC treatment group, while 26 moderate patients and 32 severe patients were enrolled in the control group. All patients received standard treatment. The MSC treatment patients additionally received intravenous infusions of MSCs at a dose of 4 × 10 7 cells on days 0, 3, and 6, respectively. The clinical outcomes, including adverse events (AEs), lung lesion proportion on chest computed tomography, pulmonary function, 6-min walking distance (6-MWD), clinical symptoms, and laboratory parameters, were measured on days 28, 90, 180, 270, and 360 during the follow-up visits. RESULTS: In patients with moderate COVID-19, MSC treatment improved pulmonary function parameters, including forced expiratory volume in the first second (FEV1) and maximum forced vital capacity (VCmax) on days 28 (FEV1, 2.75 [2.35, 3.23] vs . 2.11 [1.96, 2.35], P  = 0.008; VCmax, 2.92 [2.55, 3.60] vs . 2.47 [2.18, 2.68], P  = 0.041), 90 (FEV1, 2.93 [2.63, 3.27] vs . 2.38 [2.24, 2.63], P  = 0.017; VCmax, 3.52 [3.02, 3.80] vs . 2.59 [2.45, 3.15], P  = 0.017), and 360 (FEV1, 2.91 [2.75, 3.18] vs . 2.30 [2.16, 2.70], P  = 0.019; VCmax,3.61 [3.35, 3.97] vs . 2.69 [2.56, 3.23], P  = 0.036) compared with the controls. In addition, in severe patients, MSC treatment notably reduced the proportion of ground-glass lesions in the whole lung volume on day 90 ( P  = 0.045) compared with the controls. No difference in the incidence of AEs was observed between the two groups. Similarly, no significant differences were found in the 6-MWD, D-dimer levels, or interleukin-6 concentrations between the MSC and control groups. CONCLUSIONS: Our results demonstrate the safety and potential of MSC treatment for improved lung lesions and pulmonary function in convalescent COVID-19 patients. However, comprehensive and long-term studies are required to confirm the efficacy of MSC treatment. TRIAL REGISTRATION Chinese Clinical Trial Registry, ChiCTR2000031430.
Humans ; COVID-19/therapy* ; Female ; Male ; Mesenchymal Stem Cell Transplantation/adverse effects* ; Middle Aged ; Adult ; Umbilical Cord/cytology* ; Mesenchymal Stem Cells/cytology* ; SARS-CoV-2 ; Aged ; Treatment Outcome

Objective: To investigate the chemical compositions of Maxing Shigan Decoction (麻杏石甘汤, MXSGD) and elucidate its anti-influenza A virus (IAV) mechanism from prediction to validation. Methods: Ultra high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was employed to analyze the chemical compositions of MXSGD. Network pharmacology theories were used to screen and identify shared targets of both the potential targets of active ingredients of MXSGD and IAV. A protein-protein interaction (PPI) network was then constructed, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses. The binding stability between core bioactive compounds and key targets was validated by molecular docking and dynamic simulations. A total of 24 BALB/c mice were infected with IAV to build IAV mouse models. After successful modelling, the mouse models were randomly divided into model, MXSGD high-dose (2.8 g/kg), MXSGD low-dose (1.4 g/kg), and oseltamivir (20.14 mg/kg) groups, with an additional normal mice as control group (n = 6 per group). The treatments were administered by gavage daily between 8:00 a.m. and 10:00 a.m. for five consecutive days. Upon completion of the administration, the body weight ratio, lung index, protein content in the bronchoalveolar lavage fluid (BALF), and the levels of inflammatory factors including interleukin (IL)-6 and tumor necrosis factor (TNF)-α in mice were measured to preliminarily analyze the therapeutic efficacy of MXSGD against IAV infection. Furthermore, the expression levels of mechanistic target of rapamycin (mTOR), hypoxia inducible factor (HIF)-1α, and vascular endothelial growth factor (VEGF) proteins in the HIF-1 signaling pathway, which was enriched by network pharmacology, were detected by Western blot. Results: A total of 212 chemical components in MXSGD were identified by the UPLC-MS/MS method. These chemical components can be classified into 9 primary categories and 31 secondary categories. After intersecting the chemical component targets with IAV-related targets, a total of 567 potential MXSGD components targeting IAV were identified. The construction of PPI network and the results of both GO and KEGG enrichment analyses revealed that the anti-IAV effects of MXSGD were associated with multiple pathways, including apoptosis, TNF, HIF-1, and IL-17 signaling pathways. The results of molecular docking demonstrated that the binding energies between the core compound 1-methoxyphaseollin and key targets including HIF-1α, mTOR, and VEGF were all lower than – 5.0 kcal/mol. Furthermore, molecular dynamics simulations confirmed the structural stability of the resulting complexes. Animal experiments showed that compared with the normal controls, IAV-infected mice showed significantly reduced body weight ratio, markedly increased lung index, protein content in BALF, and the levels of inflammatory factors such as IL-6 and TNF-α (P < 0.01), thereby causing damage to the lung tissue; consequently, the expression levels of mTOR, HIF-1α, and VEGF proteins in the lung tissues of these mice were significantly elevated (P < 0.01). However, after MXSGD treatment, the mouse models presented a significant increase in body weight ratio, as well as marked decreases in lung index, protein content in BALF, and the levels of inflammatory factors including IL-6 and TNF-α (P < 0.01). Furthermore, the therapy alleviated IAV-induced injuries and significantly downregulated the expression levels of mTOR, HIF-1α, and VEGF proteins in lung tissues (P < 0.01 or P < 0.05). Conclusion MXSGD exerts anti-IAV effects through multi-component, multi-target, and multi-pathway synergism. Among them, 1-methoxyphaseollin is identified as a potential key component, which alleviates virus-induced lung injury and inflammatory response via the regulation of HIF-1 signaling pathway, providing experimental evidence for the clinical application of MXSGD.

Objective To investigate the dietary patterns of rural residents in the high-incidence areas of esophageal cancer (EC), and to explore the clustering and influencing factors of risk factors associated with high-incidence characteristics. Methods A special structured questionnaire was applied to conduct a face-to-face survey on the dietary patterns of rural residents in Yanting county of Sichuan Province from July to August 2021. Univariate and multivariate logistic regression models were used to analyze the influencing factors of risk factor clustering for EC. Results There were 838 valid questionnaires in this study. A total of 90.8% of rural residents used clean water such as tap water. In the past one year, the people who ate fruits and vegetables, soybean products, onions and garlic in high frequency accounted for 69.5%, 32.8% and 74.5%, respectively; the people who ate kimchi, pickled vegetables, sauerkraut, barbecue, hot food and mildew food in low frequency accounted for 59.2%, 79.6%, 68.2%, 90.3%, 80.9% and 90.3%, respectively. The clustering of risk factors for EC was found in 73.3% of residents, and the aggregation of two risk factors was the most common mode (28.2%), among which tumor history and preserved food was the main clustering pattern (4.6%). The logistic regression model revealed that the gender, age, marital status and occupation were independent influencing factors for the risk factors clustering of EC (P<0.05). Conclusion A majority of rural residents in high-incidence areas of EC in Yanting county have good eating habits, but the clustering of some risk factors is still at a high level. Gender, age, marital status, and occupation are influencing factors of the risk factors clustering of EC.

Objective:To compare and analyze the therapeutic effects of open, laparoscopic and interventional treatments for refractory lymphatic leakage after radical neck dissection in thyroid cancer, and the feasibility of interventional treatment for refractory lymphatic leakage.Methods:Totally 41 patients with refractory lymphatic leakage after radical neck dissection in thyroid cancer at thyroid surgery department of First Affiliated Hospital of Zhengzhou University from Jan.2018 to Dec.2023 were retrospectively enrolled. They were divided into open surgery group ( n=18), interventional surgery ( n=14), and laparoscopic surgery group ( n=9) based on surgical methods. The drainage volume, extubation time, hospital stay, and cost on the 1st, 3rd, and 5th day after surgery were recorded. Inter group comparison was conducted using analysis of variance and independent sample Kruskal-Wallis test. The effects of different groups on incurable lymphatic leakage after radical neck dissection in thyroid cancer were compared and analyzed. Results:The treatment of refractory lymphatic leakage after radical neck dissection in thyroid cancer using open, endoscopic, and interventional methods all improved. On the 1st, 3rd and 5th day after surgery, the drainage volumes were (96.67±46.40) mL, (64.44±30.46) mL, (72.86±57.70) mL, P=0.197, (43.89±25.70) mL, (33.33±12.25) mL, (39.29±36.68) mL, P=0.653, and (22.50±19.42) mL, (16.67±15.61) mL, (20.00±27.39) mL, P=0.806, respectively, and the differences were not statistically significant. The cost of open surgery was lower than that of the other groups (0.33±0.75 vs 0.56±0.70,0.76±0.84, F=126.245, P<0.01) and postoperative hospital stay for interventional surgery was lower than the other groups [ (2.36±0.50) d vs (4.67±1.14) d, (4.56±1.13) d, P<0.01]. Conclusion:Interventional therapy could be used to treat incurable lymphatic leakage after radical neck dissection in thyroid cancer.

Objective:To discuss the effect of adipose-derived stem cell-derived exosomes(ADSC-Exos)on the migration ability of the macrophages RAW264.7,and to clarify its role in promoting function of the macrophages.Methods:The adipose tissue adjacent to epididymis of the SD rats was isolated to perform primary culture of the adipose-derived stem cells(ADSCs).The adipogenic and osteogenic differentiation induction was conducted,and the multidirectional differentiation potential of the ADSCs was detected by oil Red O and Alizarin red staining.Western blotting and immunofluorescence methods were used to detect the positive expressions of the ADSCs markers CD29 and CD44;the ADSC-Exos were extracted by Exos isolation kit,and the morphology,size,and distribution of particle size of the ADSC-Exos were examined by transmission electron microscope and nanoparticle tracking analyzer;the expression levels of exosome-specific markers CD9 and TSG101 proteins in the ADSC-Exos were detected by Western blotting method;the uptake of ADSC-Exos by the macrophages was observed by tracing method.The macrophages RAW264.7 were divided into control group,10 mg·L-1 ADSC-Exos group,20 mg·L-1 ADSC-Exos group,and 40 mg·L-1 ADSC-Exos group.The activities of the macrophages in various groups were detected by 5-ethynyl-2'-deoxyuridine(EdU)staining;the number of migration macrophages in various groups was detected by Transwell chamber assay;the adhesion of macrophages in various groups was observed by fluorescence microscope.Results:After 24 h of primary culture,the ADSCs adhered to the wall and exhibited scattered,elongated shapes;after 7 d of culture,the adherent cells showed a comb-like,vortex-like orderly arrangement,resembling fibroblasts;after 10 passages,the irregular morphology of the ADSCs and decreased proliferation rate were found.The isolated ADSCs showed potential for the osteogenic and adipogenic differentiation,and the expressions of CD29 and CD44 proteins were positive.The transmission electron microscope observation resuls showed that the ADSC-Exos appeared disc-shaped,and the main peak of particle size distribution was around 132 nm.The CD9 and TSG101 proteins were positively expressed in the ADSC-Exos,indicating successful extraction.The fluorescence microscope results showed red fluorescence signals around the nuclei of the RAW264.7 cells,indicating the uptake of ADSC-Exos by the macrophages.Compared with control group,the rates of EdU positive cells in 10,20,and 40 mg·L-1 ADSC-Exos groups were significantly increased(P<0.05);compared with 10 mg·L-1 ADSC-Exos group,the rate of EdU positive cells in 20 mg·L-1 ADSC-Exos group was significantly increased(P<0.05).Compared with control group,the numbers of migration cells in 10,20,and 40 mg·L-1 ADSC-Exos groups were significantly increased(P<0.05);compared with 10 mg·L-1 ADSC-Exos group,the numbers of migration cells in 20 and 40 mg·L-1 ADSC-Exos groups were significantly increased(P<0.05).Compared with control group,the numbers of the adherent macrophages in 10,20,and 40 mg·L-1 ADSC-Exos groups were significantly increased(P<0.05);compared with 10 mg·L-1 ADSC-Exos group,the number of adherent macrophages in 20 mg·L-1 ADSC-Exos group was significantly increased(P<0.05).Conclusion:The ADSC-Exos can be internalized by the macrophages and they can enhance the migration ability of the macrophages by affecting the cell adhesion.

Objective To predict the potential suitable distribution areas of Sophora japonica cv.jinhuai in China;To provide a references for resource development and expanded cultivation of Sophora japonica cv.jinhuai.Methods Totally 85 pieces of information on the distribution of sample sites were collected and combined data on 72 environmental factors,and the dominant environmental factors affecting the suitability distribution of Sophora japonica cv.jinhuai were analyzed using the maximum entropy(MaxEnt)model and geographic information system software ArcGIS.Results The five dominant environmental factors influencing the suitability distribution of Sophora japonica cv.jinhuai were dry month precipitation,May light radiation,November precipitation,September mean temperature,and October light radiation.The potentially suitable distribution area of Sophora japonica cv.jinhuai in China was mainly concentrated in the transition zone between south-central Hunan Province and northeast Guangxi Zhuang Autonomous Region.Conclusion The results of this study can provide references for the selection of the cultivation areas of Sophora japonica cv.jinhuai and protection of wild reso of Sophora japonica cv.jinhuai.

Objective:To systematically evaluate the efficacy of different kinds of smoking cessation drugs by network Meta-analysis.Methods:Literature was retrieved from PubMed, Web of Science, Embase, Cochrane Library, CBM, CNKI, VIP, Wan fang database, from the establishment of the database to November 2022, and randomized controlled trials (RCT) about bupropion, varenicline, nicotine replacement therapy (NRT) versus placebo in the treatment of smoking patients were collected. After data extraction from included literature which met inclusion criteria, and quality evaluation with Cochrane 5.1 risk bias evaluation tool, network Meta-analysis was performed by Stata15.1 software.Results:A total of 19 RCTs, involving 6106 patients and three interventions measures (bupropion, varenicline, NRT) and one control measure (placebo) were included. The results of network Meta-analysis showed that in terms of short-term abstinence rate, varenicline [ OR=4.21, 95% CI (2.32, 7.63)], bupropion [ OR=2.81, 95% CI(1.05, 7.54)] were better than placebo ( P<0.05). The surface under the cumulative ranking area (SUCRA): varenicline (90.2%)>bupropion (64.8%)>NRT (41.7%)>placebo (3.2%). In terms of the long-term abstinence rate, varenicline [ OR=3.06, 95% CI (1.59, 5.90)], NRT [ OR=3.39, 95% CI (2.20, 5.21)] were better than placebo ( P<0.05). SUCRA: varenicline (83.8%)>NRT (73.9%)>bupropion (37.2%)>placebo (5.2%). Conclusion:The existing evidence shows that compared with bupropion, NRT, varenicline has the best effect on quitting smoking, but more high-quality randomized trial evidence is needed for verification.

Brain-computer interface (BCI) is a revolutionizing human-computer Interaction, which is developing towards the direction of intelligent brain-computer interaction and brain-computer intelligent integration. However, the practical application of BCI is facing great challenges. The maturity of BCI technology has not yet reached the needs of users. The traditional design method of BCI needs to be improved. It is necessary to pay attention to BCI human factors engineering, which plays an important role in narrowing the gap between research and practical application, but it has not attracted enough attention and has not been specifically discussed in depth. Aiming at BCI human factors engineering, this article expounds the design requirements (from users), design ideas, objectives and methods, as well as evaluation indexes of BCI with the human-centred-design. BCI human factors engineering is expected to make BCI system design under different use conditions more in line with human characteristics, abilities and needs, improve the user satisfaction of BCI system, enhance the user experience of BCI system, improve the intelligence of BCI, and make BCI move towards practical application.
Brain ; Brain-Computer Interfaces ; Electroencephalography ; Ergonomics ; Humans ; User-Computer Interface