Objective To analyze the impact factors for early renal damage in type 2 diabetic patients by the classification tree model.Methods A total of 601 patients with type 2 diabetes were enrolled.According to glomerular filtration rates and urine albumin quantification,the patients were divided into type 2 diabetes group (418 cases) and early diabetic renal damage group (183 cases).The clinical data of the patients were recorded to analyze the main influential factors for the microalbuminuria of type 2 diabetic patients using the Exhaustive CHAID classification tree algorithm.Results Six important explanatory variables were screened out by the classification tree model from the 34 candidate variables related to early renal damage,including fibrinogen,history of hypertension,retinopathy,Cys C levels,SBP and peripheral neuropathy.Elevated fibrinogen was the main factor.Conclusion The classification tree model can analyze the major influential factors of early renal damage in type 2 diabetic patients effectively,and it can help develop the prevention and treatment methods.

Objective To investigate the consistency of the results detected by different types of blood cell analyzer in the blood center .Methods On the basis of the calibration in each analyzer ,with the analyzer obtaining the excellent result in participating the external laboratory quality assessment hosted by the Ministry of Health as the reference ,the fresh blood samples were adopted to analyze other analyzers .Results For the analyzers after conducting the comparison ,the consistency and accuracy of the detection results were ensured .Conclusion After calibration in different types of blood cell analyzer ,the differences exist in the detection re‐sults .Periodically conducting the comparison among different types of instrument has very practical significance .

Objective To explore the relationship between clinical manifestations and pathological changes in diabetic nephropathy (DN) and to assess the predictive power of the pathologic classification for DN established by the Renal Pathology Society in 2010.Methods Patients with type 1 or type 2 diabetes and biopsy-proven DN in the Third Affiliated Hospital of Sun Yat-sen University between January 2004 to June 2014 were enrolled in the present study and were followed-up until 31 December 2014.The outcome was defined as renal end-points including renal replacement therapy and doubling of serum creatinine as well as all-cause mortality.The laboratory and histologic data were analyzed and outcomes were assessed using survival analysis.Results Fifty-seven people enrolled in this study were categorized into Class Ⅱa (n=9),Class Ⅱb (n=9),Class Ⅲ (n=25) and Class Ⅳ (n=14) while no participants belonged to Class Ⅰ.The changes of Class Ⅱa were slight and those of Class Ⅳ were severe both in the clinical data (diabetic duration,blood pressure,estimated glomerular filtration rate,urine protein excretion rate,albumin and hemoglobin) and the pathological data (percentage of global glomerulosclerosis,percentage and scoring of interstitial fibrosis and tubular atrophy,scoring of interstitial inflammation and incidence of large vessel lesions).There were no significant differences between Class Ⅱb and Ⅲ in the above variables except for the scoring of arteriosclerosis.The mean follow-up duration was 25.9 months.Twenty-five patients (43.9％) reached the renal outcomes and six people (10.5％) reached all-cause mortality.The survival analysis showed that there were significant differences among the renal survival curves of different glomerular classes and of different interstitial and vascular scorings,but not in the survival curves related to all-cause mortality.Conclusions The glomerular classes are not completely associated with renal prognosis.The clinical manifestations and renal outcomes are benign in Class Ⅱa,moderate but similar in Class Ⅱb and Ⅲ and severe in Class Ⅳ.The glomerular classification and interstitial and vascular scorings are associated to renal prognosis while their associations with mortality remain to be verified.

Objective: To investigate the expression and clinical significance of long-chain non-coding RNA brain cytoplasmic RNA 1 (BCYRN1) in serum of patients with non-small cell lung cancer. Methods: 74 patients with non-small cell lung cancer (NSCLC) diagnosed and treated in our hospital were selected as the experimental group, and 50 healthy subjects were selected as the control group. The expression of BCYRN1 in serum of NSCLC and control group was detected by real-time quantitative polymerase chain reaction (qRT-PCR). The patients′ clinical pathology data were collected and followed up. To analyze the relationship between the expression of serum BCYRN1 and clinicopathological parameters of NSCLC patients, and the relationship between BCYRN1 expression in the diagnosis and prediction of NSCLC prognosis. Results: The relative expression of BCYRN1 in serum of NSCLC patients was 2.84±0.95, which was significantly higher than that of healthy controls (1.16±0.50) (P<0.05). The level of serum BCYRN1 in patients with NSCLC with tumor size >3 cm was significantly higher than that in patients with tumor size ≤3 cm (P<0.05). The level of BCYRN1 in patients with tumor node metastasis (TNM) Ⅲ+ Ⅳ was significantly higher than that in patients with stage Ⅰ+ Ⅱ (P<0.05). Patients with low differentiation and positive lymph node metastasis had higher serum BCYRN1 than those with moderate to high grade and lymph node metastasis (P<0.05). The receiver operating characteristic (ROC) curve analysis showed that the area under the curve was 0.847 (95% CI: 0.772-0.922, P=0.000), and the sensitivity and specificity were 68.9% and 88.0%, respectively. The median progression free survival (PFS) (15 vs 21 months) and overall survival (OS) (19 vs 28 months) of patients with high and low expression of BCYRN1 were statistically significant (P<0.05). High expression of BCYRN1 was an independent risk factor for overall survival in patients with NSCLC. Conclusions BCYRN1 is highly expressed in the serum of NSCLC patients, and high expression of BCYRN1 is closely related to the poor prognosis of patients with NSCLC. It can be used as a novel biomarker and diagnostic target for NSCLC.

Objective To study the role of leucine rich repeat neuronal 3 (LRRN3) in the prolif-eration of non-small cell lung cancer and its possible mechanism of expression regulation. Methods The expression of LRRN3 in non-small cell lung cancer was detected by real-time quantitative polymerase chain reaction ( qPCR) , immunohistochemistry and bioinformatics retrieval;A lung cancer cell line A549-LRRN3 with stable over-expression of LRRN3 was established by lentivirus over-expression technology;The effect of LRRN3 on the proliferation of non-small cell lung cancer was detected by methyl thiazolyl tetrazolium ( MTT) assay;Bioinformatics search for changes in methylation of LRRN3 promoter region and treatment of lung cancer cells by methyltransferase inhibitors to detect the effect of methylation on the regulation of LR-RN3 expression; Finally, bioinformatics search analyzes the correlation between LRRN3 and lung cancer prognosis. Results The mRNA expression of LRRN3 in clinical tissues of non-small cell lung cancer (n=12) was significantly lower than that of adjacent normal tissues (n=12) (P=0. 0014). The results of immunohistochemistry showed that the protein expression level of LRRN3 in non-small cell lung adenocar-cinoma was lower than that in normal tissues (P=0. 001), and the expression in non-small cell lung squa-mous cell carcinoma was also lower than that in normal tissues (P=0. 003). Overexpression of LRRN3 in-hibited the proliferation of tumor cells (P<0. 01), and the hypermethylation of LRRN3 in the promoter re-gion inhibited its transcriptional expression. LRRN3 was positively correlated with the survival prognosis of lung adenocarcinoma (P=5. 2e-09;HR=0. 48). Conclusions Hypermethylation in the promoter region of LRRN3 inhibits its transcriptional expression, thereby promoting the proliferation of lung cancer cells.