Objective To study the cause of mis-diagnosis on carcinoma of large intestine in young people. Methods We retrospectively reviewed and analyzed the diagnosis and treatment of 62 young people with carcinoma of large intestine from 1990 to 2002. Results Among 36 cases of rectal carcinomas, 7 were diagnosed as colonitis,5 as hemorrhoid,3 as dysentery and 2 as perianal abscess with anal fistula. Among 26 cases of colon carcinomas, 3 were diagnosed as periappendic abscess,2 as colonitis and 1 as iron deficiency anemia.The rate of mis-diagnosis was 37 1%. Conclusions Carcinoma of large intestine in young people was a high malignant tumor with bad prognosis and little symptom in early stage. Surgeons should pay a great attention to the characteristic of this carcinoma to diagnose and treat early

Objective To identify a suspected Klebsiella variicola strain isolated from a patient with severe septic shock. Methods Sequences of rpoB, gyrA, mdh, infB, phoE and nifH genes were obtained from the clinical isolated suspected Klebsiella variicola strain, and used for constructing phylogenectic trees. Characteristics of phylogenetic trees were used to distinguish Klebsiella variicola from Klebsiella pneumoniae. Results All target gene sequences from this clinical isolated strain constantly formed a cluster with their counterparts from other Klebsiella variicola strains. These clusters were readily differentiated from Klebsiella pneumoniae clusters. Conclusions The clinical isolated strain belongs to Klebsiella variicola class and can cause septic shock. From genetic perspective, Klebsiella variicola is distinctly different from Klebsiella pneumoniae, most of which can be isolated from normal healthy people.

Objective To investigate the causes of a suspected outbreak of lower respiratory tract infection (LR-TI)caused by carbapenem-resistant Acinetobacter baumannii (CRAB)in the general intensive care unit(ICU)of a hospital,and provide scientific evidence for effective control of healthcare-associated infection(HAI).Methods Epi-demiological investigation on patients infected with CRAB and on-site monitoring on ICU environmental hygiene from March 4 to 23,2014 were performed,active prevention and control measures were taken.Results A total of 7 patients developed CRAB infection,the total length of stay during epidemic period were 160 days,the infection density of LRTI was 43.75‰(7/160),4 of 5 patients at No.02 bed had CRAB LRTI.Univariate analysis revealed that adopting conventional sputum suction procedure was a risk factor;the qualified rate of bacterial count on the object surfaces was 31 .75% (20/63).CRAB was also isolated from outer frame of suction device of No.02 bed, which had the same antimicrobial pattern as CRAB from 7 patients’sputum.After taking a series of controlling measures,there was no CRAB infection case after March 24,2014,this outbreak was effectively controlled. Conclusion This suspected HAI outbreak may be caused by inadequate disinfection of outer frame of suction device contaminated by CRAB,and horizontally transmitted through manipulation of sputum suction by health care workers.Clean and disinfection of ICU environmental object surfaces is of great importance for preventing HAI.

[Objective]To explore the effect of HSYA on pro/anti-inflammatory cytokine′s levels and mRNA expression in peripheral blood of mice.with sepsis.[Methods]Dividing NIH mice into four groups,as normal group,sham group,CLP group and HSYA group,24 mice in each group. The CLP sepsis mouse model was established. HSYA(120 mg/kg)were injected intravenously at 12 h before the operation ,and 0 h and 12 h following CLP ,and other groups were given normal saline. observed the animals behavior changes,measured the levels WBC,PLT,ALT,AST,BUN in serum,detected the levels and mRNA expression of IL-6, IL-10 ,TNF-α in peripheral blood. cultured of peripheral blood bacteria loads.[Results]24 h after surgery ,mice in CLP group appeared furring,feces residues on anus etc. compared to normal group,sham group and HSYA group,WBC,PLT,ALT,AST, BUN,levels and mRNA expression of IL-6,IL-10,TNF-αshowed significant increases,it was also found that bacterial load was significant increased in model group.[Conclusions]HSYA has a therapeutic effect in mice with sepsis ,can reduce bacteria into the blood,and inhibit inflammatory mediators which caused tissue damage.

han that in the control one (t=3.94, P<0.01).Conclusion Social skills training can effectively improve subjective satisfactions of the long-terra hospitalized patients with chronic schizophrenia.

Purpose: Prostate cancer (PCa) is an epithelial malignancy that originates in the prostate gland and is generally categorized into low, intermediate, and high-risk groups. The primary diagnostic indicator for PCa is the measurement of serum prostate-specific antigen (PSA) values. However, reliance on PSA levels can result in false positives, leading to unnecessary biopsies and an increased risk of invasive injuries. Therefore, it is imperative to develop an efficient and accurate method for PCa risk stratification. Many recent studies on PCa risk stratification based on clinical data have employed a binary classification, distinguishing between low to intermediate and high risk. In this paper, we propose a novel machine learning (ML) approach utilizing a stacking learning strategy for predicting the tripartite risk stratification of PCa. Methods: Clinical records, featuring attributes selected using the lasso method, were utilized with 5 ML classifiers. The outputs of these classifiers underwent transformation by various nonlinear transformers and were then concatenated with the lasso-selected features, resulting in a set of new features. A stacking learning strategy, integrating different ML classifiers, was developed based on these new features. Results: Our proposed approach demonstrated superior performance, achieving an accuracy of 0.83 and an area under the receiver operating characteristic curve value of 0.88 in a dataset comprising 197 PCa patients with 42 clinical characteristics. Conclusions This study aimed to improve clinicians’ ability to rapidly assess PCa risk stratification while reducing the burden on patients. This was achieved by using artificial intelligence-related technologies as an auxiliary method for diagnosing PCa.

Objective:To study the feasibility of magnetic resonance imaging(MRI)technique with amide proton transfer(APT)in predicting the prognosis of cerebral stroke.Methods:A total of 71 patients with acute cerebral stroke who admitted to the Nanjing First Hospital,Nanjing Medical University from September 2022 to May 2023 were selected.All of them underwent the test of National Institute of Health Stroke Scale(NIHSS),and received the MRI examination with chemical exchange saturation transfer(CEST).According to the modified Rankin scale(mRS)values of 1-month follow-up,they were divided into favorable recovery group(mRS<2,44 cases)and poor group(mRS≥2,27 cases).The asymmetric magnetization transfer ratio(MTRasym)image(APT)was obtained by analyzing data with special software.And then,the difference(△APTw)of APT values between ischemic zone and contralateral normal tissue was further calculated.The △APTw values of two groups were compared and analyzed,and the Pearson correlation analysis was adopted to analyze the correlation among △APTw,NIHSS and mRS.The receiver operating characteristics(ROC)curve was drawn,and the area under curve(AUC)of ROC curve was calculated.Results:There were significant positive correlations among △APTw,NIHSS and mRS scores(R2=0.659,0.522,P<0.001),and the differences of △APTW,NIHSS and mRS scores between the favorable recovery group and poor group were significant(t=5.73,6.36,13.92,P<0.05),respectively.The AUC value was 0.886,and the sensitivity and specificity of prediction were respectively 77.8%and 95.5%.The positive and negative predictive values were respectively 91.3%and 87.5%.Conclusion:APT imaging technique has feasibility in predicting the prognosis of acute cerebral ischemic stroke.

OBJECTIVE: To analyze the differentially expressed genes(DEGs), and screen the key genes and signaling pathways in human lung epithelial A549 cells exposed to silica dust using bioinformatics and gene chip. METHODS: The GSE30215 gene expression profiles of A549 cells exposed to silica dust were downloaded from Public Gene Expression Omnibus database developed by the National Center for Biotechnology Information. The DEGs were screened by using GEO2 R analysis tools. Then, the DEGs were imported into the biological information annotation database for Gene Ontology(GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. The protein-protein interaction(PPI) network was constructed with the Search Tool for the Retrieval of Interacting Genes database and visualized using the software Cytoscape. Real-time quantitative polymerase chain reaction(PCR) was used to verify the expression of key DEGs in A549 cells. RESULTS: Of the 52 DEGs screened, 45 were up-regulated and 7 were down-regulated. The results of GO analysis showed that the DEGs were mainly distributed in extracellular region, associated with regulating biological functions such as chemotaxis, transcription factor activity and so on. KEGG pathway enrichment analysis showed that these DEGs were mainly involved in the tumor necrosis factor(TNF) signaling pathway and nucleotide-binding oligomerization domain like receptor signaling pathway. The top 10 key DEGs screened by PPI network were C-C motif chemokine ligand(CCL)2, prostaglandin-endoperoxide synthase 2, interleukin 6, C-X-C motif chemokine ligand(CXCL) 8, CXCL2, jun proto-oncogene, colony stimulating factor 2(CSF2), CCL20, TNF-α induced protein 3(TNFAIP3), and CXCL5. Real-time quantitative PCR results revealed that the changes of key genes were in consistent with the screening results, except the CCL2. CONCLUSION: We found 10 key DEGs that are related to the toxicity caused by exposure to silica dust in A549 cells by bioinformatics. Among them, CSF2, CCL20 and TNFAIP3 may provide new research direction for the mechanisms of the development of multiple pulmonary fibrotic diseases including pneumoconiosis.

OBJECTIVE: To investigate the differentially expressed microRNAs(miRNAs) in human embryonic lung fibroblast MRC-5 cells stimulated by transforming growth factor-β1(TGF-β1) using microarray chip, and screen for key genes and signaling pathways of fibroblast trans-differentiation. METHODS: The miRNA expression gene chip dataset GSE43992 on TGF-β1 stimulated MRC-5 cells were downloaded from high-throughput Gene Expression Omnibus(GEO) database of National Center for Biotechnology Information of the United States. The R language Limma package was used to screen the differentially expressed miRNAs. Corresponding target genes were predicted by miRWalk database performed by Gene Ontology(GO) functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes(KEGG) signaling pathway enrichment analysis. The protein-protein interaction(PPI) network was constructed by the search tool for the Retrieval of Interacting Genes database. RESULTS: A total of five differentially expressed miRNAs were identified, including four up-regulated miRNAs and one down-regulated miRNA; and 42 corresponding differentially expressed target genes were predicted. GO analysis indicated that the target genes were significantly enriched in collagen catabolic process, extracellular matrix organization, membrane organization, collagen fibril organization, and cellular response to amino acid stimulus. The results of KEGG pathway analysis showed that the signaling pathways corresponding to miRNAs and target genes were mainly concentrated in 18 signaling pathways, that were mainly related to the age-ethnic signaling pathways and protein digestion and absorption miRNAs in tumors and diabetic complications. The core genes transfected into the myofibroblasts by the three fibroblasts screened by the PPI network were threonine kinase 1, estrogen receptor 1 and β-catenin. CONCLUSION: Five differentially expressed miRNAs, 42 target genes, 18 signaling pathways, and 3 core genes related to TGF-β1-induced MRC-5 cell trans-differentiation were screened. It can provide new reference for the treatment and research of many diseases including pneumoconiosis and pulmonary fibrosis.

OBJECTIVE: To investigate the effects of fecal microbiota transplantation (FMT) on intestinal microbiome and organism in patients with severe pneumonia during the convalescence period. METHODS: A prospective non-randomized controlled study was conducted. From December 2021 to May 2022, patients with severe pneumonia during the convalescence period who received FMT (FMT group) and patients with severe pneumonia during the convalescence period who did not receive FMT (non-FMT group) admitted to the First Affiliated Hospital of Guangzhou Medical University were enrolled. The differences of clinical indicators, gastrointestinal function and fecal traits between the two groups were compared 1 day before and 10 days after enrollment. The 16S rDNA gene sequencing technology was used to analyze the changes of intestinal flora diversity and different species in patients with FMT before and after enrollment, and metabolic pathways were analyzed and predicted by Kyoto Encyclopedia of Genes and Genomes database (KEGG). Pearson correlation method was used to analyze the correlation between intestinal flora and clinical indicators in FMT group. RESULTS: The level of triacylglycerol (TG) in FMT group was significantly decreased at 10 days after enrollment compared with before enrollment [mmol/L: 0.94 (0.71, 1.40) vs. 1.47 (0.78, 1.86), P < 0.05]. The level of high-density lipoprotein cholesterol (HDL-C) in non-FMT group was significantly decreased at 10 days after enrollment compared with before enrollment (mmol/L: 0.68±0.27 vs. 0.80±0.31, P < 0.05). There were no significant differences in other clinical indexes, gastrointestinal function or fecal character scores between the two groups. Diversity analysis showed that the α diversity indexes of intestinal flora in FMT group at 10 days after enrollment were significantly higher than those in non-FMT group, and β diversity was also significantly different from that in non-FMT group. Differential species analysis showed that the relative abundance of Proteobacteria at the level of intestinal flora in FMT group at 10 days after enrollment was significantly lower than that in non-FMT group [8.554% (5.977%, 12.159%) vs. 19.285% (8.054%, 33.207%), P < 0.05], while the relative abundance of Fusobacteria was significantly higher than that in non-FMT group [6.801% (1.373%, 20.586%) vs. 0.003% (0%, 9.324%), P < 0.05], and the relative abundance of Butyricimonas, Fusobacterium and Bifidobacterium at the genus level of the intestinal flora was significantly higher than that in non-FMT group [Butyricimonas: 1.634% (0.813%, 2.387%) vs. 0% (0%, 0.061%), Fusobacterium: 6.801% (1.373%, 20.586%) vs. 0.002% (0%, 9.324%), Bifidobacterium: 0.037% (0%, 0.153%) vs. 0% (0%, 0%), all P < 0.05]. KEGG metabolic pathway analysis showed that the intestinal flora of FMT group was changed in bisphenol degradation, mineral absorption, phosphonate and phosphinate metabolism, cardiac muscle contraction, Parkinson disease and other metabolic pathways and diseases. Correlation analysis showed that Actinobacteria and prealbumin (PA) in intestinal flora of FMT group were significantly positively correlated (r = 0.53, P = 0.043), Bacteroidetes was positively correlated with blood urea nitrogen (BUN; r = 0.56, P = 0.029) and complement C3 (r = 0.57, P = 0.027), Firmicutes was positively correlated with BUN (r = 0.56, P = 0.029) and complement C3 (r = 0.57, P = 0.027), Fusobacteria was significantly positively correlated with immunoglobulin M (IgM; r = 0.71, P = 0.003), Proteobacteria was significantly positively correlated with procalcitonin (PCT; r = 0.63, P = 0.012) and complement C4 (r = 0.56, P = 0.030). CONCLUSIONS FMT can reduce TG level, reconstruct intestinal microecological structure, change body metabolism and function, and alleviate inflammatory response by reducing the relative abundance of harmful bacteria in patients with severe pneumonia during the convalescence period.
Humans ; Fecal Microbiota Transplantation ; Complement C3 ; Convalescence ; Prospective Studies ; Feces