Research on all-dimensional health care model of military cadres based on health big data / 医学研究生学报

With the widespread application of modern information technologies such as the Internet of Things, cloud computing, block chain, and artificial intelligence, the integration of multidisciplinary key technologies and health big data will vigorously promote the development of health causes and health industries. To construct a new comprehensive health care model of all staff, all area, whole process and full-time service according to the real needs of retired military cadres, we integrated several information technologies such as the Internet of Things, cloud computing, block chain and artificial intelligence, and strengthened the collection, mining, analysis and utilization of big data technology in the all-dimensional health care model. Four kinds of health care models and their corresponding operating mechanisms were constructed. With better practicability and promotion value, our new models can effectively improve the quality of prevention, medical treatment and health care in primary health institutions.

Long Non-coding RNA Act as Regulators of Autophagy in Disease Treatment / 中国医学科学院学报

Long non-coding RNA (lncRNA) refer to transcripts longer than 200 nucleotides that have a low coding potential. Autophagy,a unique life phenomenon of eukaryotic cells,removes excess or damaged organelles during cell growth and development and plays a key role in maintaining homeostasis. As a key regulator of cellular metabolism,lncRNA are involved in disease treatment by regulating autophagy. This article summarizes the role of lncRNA in the treatment of cancer,cardiovascular and cerebrovascular diseases,neurodegenerative diseases,and bacterial infections and analyzes the molecular mechanisms of lncRNA in regulating autophagy,along with prospects of its applications in other areas.

Investigation of irrational drug use in elderly patients and analysis of influence factors of potentially inap-propriate medications andinfluence factors analysis of potential inappropriate medication in geriatric patients in senile people / 医学研究生学报

Objective The proportion of multiple drugs and the irrational use of drugs increased significantly in the elderly patients (over 80 years). This study aimed to investigate the occurrence of potentially inappropriate medication (PIM) and analyzed the possible reasons related to PIM in elderly patients. Methods In this study,918 cases from Cadre Ward I of Research Center for Geriatrics of Nanjing General Hospital of Nanjing Military Region were selected from January to December in 2016. According to the Beers Criteria (Version 2015),we evaluated PIM in four subtypes,type 1 that is not related to the state of disease in elderly patients, type 2 that is related to the state of disease in elderly patients,type 3 which should be used carefully,and type 4 which is the inappropriate combination of non-anti-infective Drugs. The PIM influence factors were analyzed by logistic regression analysis. Results There are 521 cases (56.75%) of type 1 PIM. The first 3 drugs are Short and medium acting benzodiazepams,PPI and long acting benzodiazepams. There are 206 cases (22.4%) of type 2 PIM. The first 2 drugs are drugs associated with insomnia (oral hyperemia, stimulants, theo-phylline and caffeine) and drugs associated with dementia or cognitive impairment (anti-cholinergic drugs and H2 receptor antago-nists). There are 834 cases (90.85%) of type 3 PIM,which should be used carefully and 45 cases(4.90%) of type 4 PIM.45 cases (4.90%) of non-anti-infective drugs should be avoid or reduced as much as possible in consideration of renal function. The number of combined drug use(OR=5.331,95% CI:3.549-8.009),the age(OR=1.171,95% CI:1.093-1.249),the Chalson's comorbidity index (OR=1.964,95% CI:1.477-2.450) are risk factors of PIM. Conclusion The incidence of potentially inappropriate use of drugs is high among the elderly patients. Reducing the number of combined drugs is an important measure to avoid the occurrence of PIM in elderly patients.

Detection of free tumor-related DNA in the serum of breast cancer patients / 中华肿瘤杂志

<p><b>OBJECTIVE</b>To study the APC and E-cadherin gene promoter hypermethylation as tumor marker and to investigate the correlation of free tumor-related DNA in serum and tumor tissue with clinicopathological parameters. Their feasibility in early diagnosis, predicting therapeutic effect and monitoring recurrence was evaluated.</p><p><b>METHODS</b>84 cases with operated breast cancer were recruited from March 2002 to August 2002 at Beijing Cancer Hospital. Aberrant methylation of E-cadherin and APC genes was detected in tumor tissues, adjacent normal tissues and peripheral blood serum by methylation-specific PCR (MSP). 10 cases with benign breast diseases were selected as control group.</p><p><b>RESULTS</b>The positive rate of promoter hypermethylation of E-cadherin and APC genes in tumor tissues was 52.4% and 45.2%, in the paired serum was 33.3% and 31.0%, respectively. Aberrant methylation of free DNA in serum presented the same alteration in tumor tissues. E-cadherin and APC hypermethylation in serum and tumor samples significantly correlated each other (E-cadherin P < 0.001; APC P = 0.002). The sensitivity of detection of free DNA methylation of E-cadherin and APC genes in serum was 63.6% and 63.2%, respectively. The specificity was 100% and 95.7%, respectively. There was no correlation for the aberrant methylation in cancer tissues and serum with the clinicopathological parameters of patients including age, tumor staging, tumor size, histological type and receptor. None of the aberrant methylation was found in adjacent normal tissues and control group serum.</p><p><b>CONCLUSION</b>The same aberrant methylation in cancer tissues and serum, not correlating with tumor staging, can be detected in about one third of breast cancer patients. The aberrant methylation in serum can disappear after operation. The results imply that this approach may be feasible for early diagnosis, evaluation of therapeutic effects and monitoring recurrence of breast cancers.</p>