This study employed bioinformatics to screen the feature genes related to efferocytosis in diabetic kidney disease(DKD) and explores traditional Chinese medicine(TCM) regulating these feature genes. The GSE96804 and GSE30528 datasets were integrated as the training set, and the intersection of differentially expressed genes and efferocytosis-related genes(ERGs) was identified as DKD-ERGs. Subsequently, correlation analysis, protein-protein interaction(PPI) network construction, enrichment analysis, and immune infiltration analysis were performed. Consensus clustering was conducted on DKD patients based on the expression levels of DKD-ERGs, and the expression levels, immune infiltration characteristics, and gene set variations between different subtypes were explored. Eight machine learning models were constructed and their prediction performance was evaluated. The best-performing model was evaluated by nomograms, calibration curves, and external datasets, followed by the identification of efferocytosis-related feature genes associated with DKD. Finally, potential TCMs that can regulate these feature genes were predicted. The results showed that the training set contained 640 differentially expressed genes, and after intersecting with ERGs, 12 DKD-ERGs were obtained, which demonstrated mutual regulation and immune modulation effects. Consensus clustering divided DKD into two subtypes, C1 and C2. The support vector machine(SVM) model had the best performance, predicting that growth arrest-specific protein 6(GAS6), S100 calcium-binding protein A9(S100A9), C-X3-C motif chemokine ligand 1(CX3CL1), 5'-nucleotidase(NT5E), and interleukin 33(IL33) were the feature genes of DKD. Potential TCMs with therapeutic effects included Astragali Radix, Trionycis Carapax, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma, which mainly function to clear heat, replenish deficiency, activate blood, resolve stasis, and promote urination and drain dampness. Molecular docking revealed that the key components of these TCMs, including β-sitosterol, quercetin, and sitosterol, exhibited good binding activity with the five target genes. These results indicated that efferocytosis played a crucial role in the development and progression of DKD. The feature genes closely related to both DKD and efferocytosis, such as GAS6, S100A9, CX3CL1, NT5E, and IL33, were identified. TCMs such as Astragali Radix, Trionycis Carapa, Sargassum, Rhei Radix et Rhizoma, Curcumae Radix, and Alismatis Rhizoma may provide a new therapeutic strategy for DKD by regulating efferocytosis.
Humans ; Computational Biology ; Diabetic Nephropathies/physiopathology* ; Protein Interaction Maps ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Phagocytosis/genetics* ; Efferocytosis

Deep vein thrombosis(DVT)is a common complication after surgery for lower limb fracture.It has the features of high morbidity,high disability rate and high mortality.At present,the measures for clinical prevention and treatment of post-operative DVT in lower limb fracture mainly include perioperative nursing,intervention with medical auxiliary instruments,western medicine prevention and treatment,traditional Chinese medicine(TCM)intervention,and patients'self-cooperation.The patients'self-cooperation is the basis for the smooth implementation of other measures for prevention and treatment,and the patients'active cooperation is the premise of achieving the efficacy of prevention and treatment.Perioperative nursing is helpful for the patients to understand the risk factors of postoperative DVT and the possible risks after the occurrence of DVT,guides the patients to choose the food,assists the patients to do postoperative exercises,improves the level of patients'hemorheological indexes,and reduce the incidence of postoperative DVT.Medical devices are helpful for assisting patients to do postoperative rehabilitation exercises,improving the levels of hemodynamic indicators,promoting patients'rehabilitation and reducing the incidence of postoperative DVT.Western medicines such as low molecular weight heparin,Rivaroxaban,Enoxaparin and other anticoagulant drugs can reduce the aggregation of coagulation factors and blood viscosity,and reduce the incidence of postoperative DVT.TCM interventions mainly include oral administration of Chinese medicine and external treatment such as acupuncture,moxibustion and massage.Oral administration of Chinese medicine is helpful for improving blood flow status.Acupuncture,moxibustion and massage are beneficial to the activation of the function of zang-fu organs,and can stimulate the healthy qi to improve the qi-blood state of the whole body.Each method of prevention and treatment has its advantages and disadvantages.In clinical application,reasonable prevention and treatment methods should be selected according to the specific conditions and individual conditions of the patients.TCM intervention of DVT can be performed in patients with lower limb fracture before and after surgery,and has the advantages of low cost and definite efficacy,which is worthy of continuous research and inheritance and innovation.

Objective:To investigate the feasibility of a three-dimensional no new U-Net (3D nnU-Net) deep learning (DL) network for the automatic segmentation of colorectal cancer (CRC) based on abdominal CT images.Methods:This was a cross-sectional study. From January 2018 to May 2023, a total of 2180 primary CRC patients, confirmed by pathology at the Guangdong Provincial Hospital of Traditional Chinese Medicine (center 1, n=777), Nanfang Hospital, Southern Medical University (center 2, n=732), and Sun Yat-sen Memorial Hospital (center 3, n=671), were enrolled in this retrospective study. The baseline abdominal CT examination of each patient was conducted using CT equipment from 7 different models across 4 vendors, at the 3 centers, encompassing both the arterial phase (AP) and venous phase (VP). Two radiologists manually delineated the volume of interest to circumscribe the entire tumors in dual-enhanced phase CT images. The CT data of CRC patients from center 1 and center 3 were merged and divided into a training set ( n=1 159) and a validation set ( n=289) using a weighted random method with a ratio of 4∶1. The patients from center 2 were used as an independent external test set ( n=732). The 3D nnU-Net segmentation model was trained and tested. Using manually annotated label data as the benchmark, segmentation performance of the model was evaluated based on different phases and tumor locations. The segmentation coverage rate (SCR), Dice similarity coefficient (DSC), recall (REC), precision (PRE), F1-score, and 95% Hausdorff distance (HD 95) were calculated. The mean manual segmentation time and the mean automatic time were compared using independent samples t-test. Results:In the independent external test set, the performance of the 3D nnU-Net model based on the AP CT images was superior to that based on the VP CT images. On the AP images, the SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.865, 0.714, 0.716, 0.736, 0.714, and 27.228, respectively; on the VP images, they were 0.834, 0.679, 0.710, 0.675, 0.679, and 29.358, respectively. The model achieved the best performance on right-sided colon cancer, with SCR, DSC, REC, PRE, F1-score, and HD95 on the AP CT images at 0.901, 0.775, 0.780, 0.787, 0.775, and 21.793, respectively. Next were left-sided colon cancer and rectal cancer, while the segmentation performance for transverse colon cancer was the worst (SCR, DSC, REC, PRE, F1-score, and HD 95 were 0.731, 0.631, 0.641, 0.630, 0.631 and 38.721, respectively). The automatic segmentation time on a single phase was (1.0±0.3) min, while the manual segmentation time was (17.5±6.0) min ( t=128.24, P<0.001). Conclusions:After training and validating on a dataset from multiple centers with various CT scanner vendors, the 3D nnU-Net DL model demonstrates the capability to automatically segment CRC based on abdominal CT images, while also showcasing commendable robustness and generalization ability.

At present, the problem of drug addiction treatment mainly lies in the high relapse rate of drug addicts. Addictive drugs will bring users a strong sense of euphoria and promote drug seeking. Once the drug is withdrawn, there will be withdrawal symptoms such as strong negative emotions and uncomfortable physical reactions. The recurrence of context-induced withdrawal memory is an important reason for drug relapse. Our previous study has shown increased c-Fos expression in prelimbic cortex (PrL) neurons projecting to paraventricular nucleus of the thalamus (PVT) (PrL^-PVT) during conditioned context-induced retrieval of morphine withdrawal memory. However, whether PrL^-PVT neurons are involved in withdrawal memory retrieval and the underlying molecular mechanisms remain unknown. In this study, we used conditioned place aversion (CPA) model combined with in vivo calcium signal recording, chemogenetics and nucleus drug injection methods to investigate the role and molecular mechanism of PrL^-PVT neurons in retrieval of morphine withdrawal memory. The results showed that the calcium signals of PrL^-PVT neurons were significantly enhanced by withdrawal-related context; Inhibition of PrL^-PVT neurons blocked the conditioned context-induced morphine withdrawal memory retrieval; Activation of PrL^-PVT neurons caused animals to escape from the context; After the inhibition of NMDA receptors in the PrL, withdrawal-related context failed to increase c-Fos and Arc expressions in PrL^-PVT neurons. The above results suggest that NMDA receptors in PrL^-PVT neurons are associated with retrieval of morphine withdrawal memory. This study is of great significance for further understanding the neural circuit mechanism of withdrawal memory retrieval as well as the intervention and prevention of drug relapse.
Animals ; Substance Withdrawal Syndrome/physiopathology* ; Morphine/adverse effects* ; Neurons/physiology* ; Receptors, N-Methyl-D-Aspartate/metabolism* ; Male ; Rats ; Paraventricular Hypothalamic Nucleus/metabolism* ; Memory ; Rats, Sprague-Dawley ; Morphine Dependence/physiopathology* ; Midline Thalamic Nuclei/physiology* ; Neural Pathways/metabolism*

AIM To study the chemical constituents from the heartwood of Dalbergia cochinchinensis Pierre ex Laness.METHODS The 70%ethanol extract from the heartwood of D.cochinchinensis was isolated and purified by silica gel,Sephadex LH-20 and semi-preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.RESULT Twenty-three compounds were isolated and identified as 3-O-acetylbetulin aldehyde(1),2,2'-oxybis(1,4-di-tert-butylbenzene)(2),ethyl 4-hydroxybenzoate(3),1-acetyl-β-carboline(4),7-hydroxydihydroflavone(5),palmic acid(6),hexadeca-4,7-diene(7),linoleic acid(8),methyl 4-hydroxybenzoate(9),2-(2-hydroxy-1-methyl-2-phenythyl)-4,5-dimethoxyphenol(10),2-methoxy-3-hydroxyxanthone(11),dibutyl terephthalate(12),6,4'-dihydroxy-7-methoxyflavan(13),pteroyanin G(14),benzoic acid,4-ethoxy-2-methoxy-,methyl ester(15),liquiritigenin(16),4,2',5'-trihydroxy-4'-methoxychalcone(17),7-hydroxy-6-methoxyflavone(18),6,4'-dihydroxy-7-methoxyflavone(19),2'-hydroxyformonetin(20),3'-methoxyformonetin(21),3'-hydroxyformonetin(22),6,7,4'-trihydroxyflavanone(23).CONCLUSION Compounds 2,4 are isolated from genus Dalbergia for the first time.Compounds 6-8,19,21 are isolated from this plant for the first time.

To investigate the crucial role of particle size in the biological effects of nanoparticles, a series of mesoporous silica nanoparticles (MSNs) were prepared with particle size gradients (50, 100, 150, 200 nm) with the traditional Stober method and adjusting the type and ratio of the silica source. The correlation between toxicity and size-caused biological effects were then further examined both in vitro and in vivo. The results indicated that the prepared MSNs had a uniform size, good dispersal, and ordered mesoporous structure. Hemolytic toxicity was found to be independent of particle size. At the cellular level, MSNs with smaller particle sizes were more readily internalized by cells, which initiated to more intense oxidative stress, therefor inducing higher cytotoxicity, and apoptosis rate. In vivo studies demonstrated that MSNs primarily accumulated in the liver and kidneys of mice. Pharmacokinetic analysis revealed that larger MSNs were eliminated more efficiently by the urinary system than smaller MSNs. The mice's body weight monitoring, blood tests, and pathological sections of major organs indicated good biocompatibility for MSNs of different sizes. Animal welfare and the animal experimental protocols were strictly consistent with related ethics regulations of Zhejiang Chinese Medical University. Overall, this study prepared MSNs with a particle size gradient to investigate the correlation between toxicity and particle size using macrophages and endothelial cells. The study also examined the biosafety of MSNs with different particle sizes in vivo and in vitro, which could help to improve the safety design strategy of MSNs for drug delivery systems.

Humans ; Sarcoma, Alveolar Soft Part/secondary* ; Lung Neoplasms/pathology* ; Soft Tissue Neoplasms/pathology*

UHPLC-Q-Exactive Orbitrap MS/MS was used to systematically analyze and compare the alkaloids in Aconiti Kusnezoffii Radix, Aconiti Radix, and Aconiti Lateralis Radix Praeparata. After the samples were pretreated in the solid-phase extraction cartridges, 0.1% ammonium hydroxide(A)-acetonitrile(B) was used for gradient elution. The LC-MS method for characterization of alkaloids in the three herbal medicines was established in ESI positive ion mode to collect high resolution MS data of reference substances and samples. On the basis of the information of reference substance cracking behavior, retention time, accurate molecular mass, and related literature, a total of 155 alkaloids were identified in Aconiti Kusnezoffii Radix, Aconiti Radix, and Aconiti Lateralis Radix Prae-parata. Specifically, 130, 127, and 92 alkaloids were identified in Aconiti Kusnezoffii Radix, Aconiti Radix, and Aconiti Lateralis Radix Praeparata, respectively. Monoester alkaloids and amino-alcohol alkaloids were dominant in the three herbal medicines, and the alkaloids in Aconiti Kusnezoffii Radix and Aconiti Radix were similar. This paper can provide a reference for elucidating the pharmacological effects and clinical application differences of the three herbal medicines produced from plants of Aconitum.
Tandem Mass Spectrometry ; Aconitum ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal ; Alkaloids ; Plants, Medicinal

Objective: To study the correlation between ceramic and chronic obstructive pulmonary disease (COPD), and explore its related risk factors. Methods: In January 2021, five representative ceramic enterprises were selected from Chancheng District, Nanhai District, Gaoming District and Sanshui District of Foshan City. The ceramic workers who came to Chancheng Hospital of Foshan First People's Hospital for physical examination from January to October 2021 were selected as the research objects, and 525 people were included. Conduct questionnaire survey and pulmonary function test. Logistic regresion was performed to analyze the influencing facters of COPD among ceramic workers. Results: The subjects were (38.51±1.25) years old, 328 males and 197 females, and the detection rate of COPD was 9.52% (50/525). The incidence of respiratory symptoms such as dyspnea, chronic cough, wheezing and chest tightness, the detection rates of abnormal lung age, abnormal lung function and COPD in males were higher than those in females (P<0.05). The logistic regression analysis showed that male, age, working years, smoking status and family history of COPD were the risk factors for COPD among ceramic workers (P<0.05) . Conclusion: The ceramic workers are the high risk population of COPD. We should do a good job in health education, and do a regular physical examination to find the changes of lung function in time, and prevent the occurrence of COPD as soon as possible.
Female ; Humans ; Male ; Adult ; Pulmonary Disease, Chronic Obstructive/epidemiology* ; Ceramics ; Health Education ; Hospitals ; Physical Examination

COVID-19 has been prevalent for three years. The virulence of SARS-CoV-2 is weaken as it mutates continuously. However, elderly patients, especially those with underlying diseases, are still at high risk of developing severe infections. With the continuous study of the molecular structure and pathogenic mechanism of SARS-CoV-2, antiviral drugs for COVID-19 have been successively marketed, and these anti-SARS-CoV-2 drugs can effectively reduce the severe rate and mortality of elderly patients. This article reviews the mechanism, clinical medication regimens, drug interactions and adverse reactions of five small molecule antiviral drugs currently approved for marketing in China, so as to provide advice for the clinical rational use of anti-SARS-CoV-2 in the elderly.