ABSTRACT
<p><b>OBJECTIVE</b>To observe the effect of Qingfei Peiyuan Micro-pill (QPM) on HIV/AIDS patients with pulmonary infection of phlegm heat obstructing lung syndrome (PHOLS).</p><p><b>METHODS</b>Totally 141 HIV/AIDS patients with pulmonary infection of PHOLS were randomly assigned to the treatment group (94 cases) and the control group (47cases). On the basis of Western medicine, patients in the treatment group took QPM. The therapeutic course for all was 28 days. The improvement of symptoms and signs was observed. The body temperature (BT), chest X ray, and white blood cells (WBCs) were detected.</p><p><b>RESULTS</b>The Chinese medical syndrome score was lower in the treatment group than in the control group at the 7th, 21st, and 28th day of treatment, showing statistical difference (P < 0.05). The efficacy was better in the treatment group than in the control group at the 7th, 21st, and 28th day of treatment, showing statistical difference (P < 0.05). The BT was lower in the treatment group than in the control group on the 7th day. There was no statistical difference in the patient number with normal WBCs on the 7th day (P > 0.05). But there was statistical difference in the patient number with normal WBCs on the 14th, 21st, and 28th day of treatment (P < 0.05). There was no statistical difference in the patient number with normal chest X ray on the 7th and 28th day of treatment (P > 0.05). But there was statistical difference in the patient number with normal chest X ray on the 14th and 21 st day of treatment (P < 0.05).</p><p><b>CONCLUSION</b>QPM had certain complementary effect on HIV/AIDS patients with pulmonary infection of PHOLS.</p>
Subject(s)
Adult , Female , Humans , Male , Middle Aged , Acquired Immunodeficiency Syndrome , Drugs, Chinese Herbal , Therapeutic Uses , Respiratory Tract Infections , Drug Therapy , Treatment OutcomeABSTRACT
<p><b>OBJECTIVE</b>To investigate gastric cancer-related genes by combined multiple high throughput analysis and data mining, and to further identify gene markers that may be useful in the diagnosis and treatment of gastric cancer.</p><p><b>METHODS</b>Data of expressed sequence tags (EST) and serial analysis of gene expression (SAGE) in Cancer Genome Anatomy Project (CGAP) were employed to analyze differential gene expression between normal and cancerous gastric epithelium,the obtained genes were further analyzed by virtual Northern blotting and compared with microarray data from Stanford Microarray Database (SMD).</p><p><b>RESULTS</b>NCBI digital differential display (DDD), cDNA digital gene expression displayed (DGED) and SAGE DGED produced 165,286 and 181 differential expression genes.All these genes were analyzed by virtual Northern blotting and 45 genes were obtained. Comparing with microarray data, candidate genes were reduced to 12. Further RT-PCR analyses validated 4 genes, including ANXA1, MSMB, ANXA10 and PSCA, were differentially expressed in normal and cancerous gastric tissues.</p><p><b>CONCLUSIONS</b>Combined multiple high throughput analysis and data mining is an effective strategy for identification of gastric cancer-related genes. Further analyses of these genes from data mining will provide biomarkers for the diagnosis and treatment of gastric cancer.</p>