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

Purpose/Significance Taking Jiashan county's chronic disease management mode based on blockchain as an example,new strategies for chronic disease management under the integrated county medical community mode are discussed.Method/Process U-sing the PEST-SWOT analysis method,the paper analyzes the strengths,weaknesses,opportunities and threats of the chronic disease management mode based on blockchain in Jiashan county from 4 aspects:politics,economy,society,and technology.Result/Conclu-sion The chronic disease management mode based on blockchain technology can ensure seamless connection and sharing of data,guaran-tee the security and traceability of patients'personal information and health records,and promote the common development of blockchain technology and chronic disease management in Jiashan county.

"Active health" has been emphasized in "Healthy China 2030" in dealing with the challenges of population aging, so the anti-aging strategies are requires to be more precise and effective at both individual and population levels. Aging is influenced by both genetic and environmental factors. In the recent 20 years, the research of genetics of human ageing has been greatly facilitated owning to the development of high-throughput sequencing techniques, statistical methodology for multi-omics data, as well as the growing qualified evidence of large-scale population-based genomic research. This paper provides a review of genome-wide association research of aging.
Aging/genetics* ; Genome-Wide Association Study/methods* ; Genomics/methods* ; High-Throughput Nucleotide Sequencing ; Humans ; Phenotype

OBJECTIVE: To evaluate the clinical efficacy of acupuncture at different timings in acute stage for limb dysfunction in patients with cerebral infarction. METHODS: A total of 101 patients with cerebral infarction limb dysfunction were divided into an early exposure group ( RESULTS: Compared before treatment, the mRS grade at 30 and 60 days after onset in the early exposure group was improved ( CONCLUSION The timing of acupuncture is an independent factor affecting the disability status and limb motor dysfunction in patients with cerebral infarction, and the effect of early intervention may be better than late intervention.
Acupuncture Points ; Acupuncture Therapy ; Cerebral Infarction/therapy* ; Humans ; Pilot Projects ; Prospective Studies ; Stroke ; Treatment Outcome

Animals ; Asthma/drug therapy* ; Benzofurans ; Bronchoalveolar Lavage Fluid ; Disease Models, Animal ; Interleukin-13 ; Lung ; Mice ; Mice, Inbred BALB C ; Mucus ; Ovalbumin ; Tumor Necrosis Factor-alpha

Medicinal and edible Armeniacae Semen Amarum (ASA) is susceptible to fungal contamination because it is rich in oil and other nutrients. In this study, the fungal community diversity in ASA samples was analyzed based on a DNA metabarcoding technique to provide evidence for its safe use. Twelve batches of ASA samples samples from four medicinal material markets and three processing approaches were collected. Total DNA was extracted, the ITS2 sequences were amplified, and high-throughput sequencing was performed using the Illumina MiSeq PE300 platform. The results show that Ascomycota was the most dominant fungus in ASA samples. The predominant genus in sample SW1_P was Diutina, whereas the most predominant genus in the other samples was Aspergillus. Three harmful fungi were identified, namely, Aspergillus flavus, Wallemia sebi, and Rhizopus arrhizus. In addition, significant differences were observed in the relative abundance of Botryosphaeriales and Alternaria in ASA samples from different collection sites. Meanwhile, there were significant differences in the relative abundance of Hypocreales and Cladosporium in ASA samples from different processing approaches. In summary, the DNA metabarcoding technique can effectively clarify the fungal community diversity and quickly detect potential toxigenic fungi in ASA samples, thus providing a warning for mycotoxin contamination.

Cerebral Ventricles ; Heart Ventricles ; Humans ; Punctures

The aim of this paper was to obtain low toxicity and high efficiency anti-tumor Chinese medicine through screening the combination ratios of Momordicae Semen and Epimedii Folium, and to explore the anti-tumor mechanism of the combination of two drugs by observing their effect on apoptosis-related proteins in cancer cells. Methyl thiazolyl tetrazolium(MTT) assay was used to observe the effect of drug combination on the proliferation of tumor cells from different tissue sources. The effects of the combination of the two drugs on tumor cells were analyzed by Compusyn software. Plate cloning assay was used to observe the effect of combination of these two drugs on the proliferation of A549 cells in vitro. The expression of reactive oxygen species(ROS) and apoptotic proteins p53, Bcl-2 and Bax were compared by using ROS kit and Western blot. Lewis lung cancer model was used to observe the anti-tumor effect of drugs in vivo. The results showed that the anti-tumor effect of their ethanol extract was more significant than that of water extract, and the anti-proliferation effect was strongest when the ratio was 1∶1(P<0.05). Compusyn analysis showed that the combination of the two drugs had synergistic effect. Further studies showed that after combined use, the number of clonogen formation in A549 cells was significantly reduced(P<0.01); ROS production was increased; the expression of apoptosis-related protein p53 was up-regulated, and the ratio of Bcl-2/Bax was decreased. In vivo animal study showed that the tumor inhibition rate was 53.06%(P<0.05) in the high dose group. As compared with the single use of the two drugs, the combination of the two drugs had more significant anti-proliferative effect on tumors, and the optimum ratio was 1∶1. The combination of the two drugs at a ratio of 1∶1 inhibited the proliferation of various tumor cells, and had no significant effect on normal liver cells LO2 when compared with other ratios. Therefore, it can be preliminarily inferred that the combination of the two drugs may have the effect of synergism and detoxification. Further studies showed that the combination of the two drugs can significantly inhibit the proliferation of A549 cells, and its mechanism may be related to the activation of endogenous apoptotic pathway. In vivo experiments also showed that the tumor inhibition rate increased with the increase of drug concentration.
A549 Cells ; Animals ; Antineoplastic Agents, Phytogenic/pharmacology* ; Apoptosis ; Cell Line, Tumor ; Cell Proliferation ; Drugs, Chinese Herbal/pharmacology* ; Epimedium/chemistry* ; Humans ; Lung Neoplasms/drug therapy* ; Momordica/chemistry* ; Neoplasms, Experimental/drug therapy* ; Plant Leaves/chemistry*

Alzheimer's disease (AD) is a neurodegenerative disease that seriously threatens the life of the elderly and there is no effective therapy to treat or delay the onset of this disease. Due to the multifactorial etiology of this disease, the multi-target-directed ligand (MTDL) approach is an innovative and promising method in search for new drugs against AD. In order to find potential multi-target anti-AD drugs through reposition of current drugs, the database of global drugs on market were mined by an anti-AD multi-target prediction platform established in our laboratory. As a result, inositol nicotinate, cyproheptadine, curcumin, rosiglitazone, demecarium, oxybenzone, agomelatine, codeine, imipramine, dyclonine, melatonin, perospirone, and bufexamac were predicted to act on at least one anti-AD drug target yet act against AD through various mechanisms. The compound-target network was built using the Cytoscape. The prediction was validated by molecular docking between agomelatine and its multiple targets, including ADORA2A, ACHE, BACE1, PTGS2, MAOB, SIGMAR1 and ESR1. Agomelatine was shown to be able to act on all the targets above. In conclusion, the potential drugs for anti-AD therapy in the database for global drugs on market was partially uncovered using machine learning, network pharmacology, and molecular docking methods. This study provides important information for drug reposition in anti-AD therapy.