Gastric cancer is one of the most common malignant tumors of digestive system. Due to lack of early diagnosis methods, the mortality rate of gastric cancer is relatively high. For meeting their own needs, the tumor cells can reprogram their metabolism, and glutamine metabolism plays an important role in tumor cell growth and proliferation. Therefore, it needs to elucidate the new potential molecular mechanisms of gastric cancer and to discover the potential biomarkers related to glutamine metabolism, so as to provide new targets and schemes for the diagnosis and treatment of gastric cancer. This article reviewed the progress in research on glutamine metabolism in energy metabolism of gastric cancer.

Pediatric acute respiratory distress syndrome(PARDS)is a pulmonary inflammation syndrome caused by a variety of proinflammatory factors induced by many causes, which is mainly characterized by noncardiogenic pulmonary edema.The main pathophysiological feature is the destruction of the integrity of the alveolar capillary membrane, and the loss of the alveolar epithelial-endothelial barrier function.In the PARDS′s clinical practice, the mainstay of the treatment is supportive.Although there is still no clear definition and general consensus or guidelines, appropriate liquid therapy is an important part of non-ventilatory treatment measures.Proper fluid management strategy is helpful to improve pulmonary edema, maintain normal circulatory perfusion, prevent functional failure of important organs and improve the prognosis of patients.According to volume status, implementing the goal-oriented and phased differentiated fluid management strategy is significant for the therapy of PARDS patients.However, the effects of fluid strategy management according to PARDS phenotypes remain to be evaluated.

Background: Abnormal glucose metabolism is one of the malignant characteristics of tumors. LncRNA plays an important role in the process of aerobic glycolysis of tumors. Aims: To investigate the expression of LncRNA MEG3 in gastric cancer and its correlation with glycolysis. Methods: RT-qPCR was used to detect the mRNA expression of MEG3 in gastric cancer and paracancerous tissue. Immunohistochemical EnVision method was used to detect the protein expressions of PKM2, LDHA, mTOR, HIF-1α in gastric cancer and paracancerous tissue. Relationship between expressions of above-mentioned indices and clinicopathological features of gastric cancer were analyzed. The correlation between MEG3 and glycolysis level of gastric cancer was analyzed by Spearman correlation analysis, and its possible mechanism was explored. Results: The expression of MEG3 in gastric cancer tissue was significantly lower than that in paracancerous tissue (P< 0.05), and was correlated with lymph node metastasis (P<0.05). The positivity rates of expression of PKM2, LDHA, mTOR and HIF-1α in gastric cancer tissue were significantly higher than those in paracancerous tissue, and were correlated with the depth of tumor invasion, lymph node metastasis and pTNM stage (P<0.05). Spearman correlation analysis showed that the expression of MEG3 was negatively correlated with the expressions of PKM2, LDHA, mTOR and HIF-1α (r=-0.346，r= -0.306，r=-0.389, r=-0.338; P<0.05). The expression of MEG3 in HIF-1α

OBJECTIVE To establish the fingerprint of the Zhuang medicine preparation Fuzheng capsules and a method for the determination of multi-ingredient content for quality evaluation. METHODS High-performance liquid chromatography （HPLC） was used in conjunction with the Similarity Evaluation System for Chromatographic Fingerprints of Traditional Chinese Medicine （2004A edition） to establish the fingerprint of 12 batches of Fuzheng capsules， evaluate their similarity and confirm the common peaks. Cluster analysis and principal component analysis were performed using SPSS 20.0 software with the peak areas of the common peaks in the fingerprint as variables. The same HPLC method was adopted to determine the content of liquiritin， specnuezhenide， 3，6′-disinapoyl sucrose and ammonium glycyrrhizinate in the 12 batches of samples. RESULTS A total of 22 common peaks were identified in the fingerprints of the 12 batches of Fuzheng capsules， with the similarities greater than 0.91. Four common peaks were identified as liquiritin （peak 8）， specnuezhenide （peak 10）， 3，6′-disinapoyl sucrose （peak 11）， and ammonium glycyrrhizinate （peak 21）. The 12 batches of samples could be clustered into 3 categories， with 200801， 200802 and 200803 as category Ⅰ， samples 1 to 8 as category ， and 221101 as category Ⅲ. The sample 200802 had the highest comprehensive score （2.540）. The contents of liquiritin， specnuezhenide， 3，6′-disinapoyl sucrose and ammonium glycyrrhizinate in the 12 batches of samples were 0.44 to 0.73， 1.28 to 2.47， 0.08 to 0.12， and 1.31 to 1.81 mg per capsule， respectively. CONCLUSIONS The main components of the 12 batches of Fuzheng capsules were similar， but the content varied， with the sample 200802 indicating the highest quality. The established fingerprint and multi-ingredient content determination method were highly specific and accurate， which can be used for the quality evaluation of Fuzheng capsules in combination with chemical pattern recognition analysis.