[Genetic Subtypes and Pretreatment Drug Resistance in the Newly Reported Human Immunodeficiency Virus-Infected Men Aged≥50 Years Old in Guangxi].

Objective To analyze the genetic subtypes of human immunodeficiency virus (HIV) and the prevalence of pretreatment drug resistance in the newly reported HIV-infected men in Guangxi. Methods The stratified random sampling method was employed to select the newly reported HIV-infected men aged≥50 years old in 14 cities of Guangxi from January to June in 2020.The pol gene of HIV-1 was amplified by nested reverse transcription polymerase chain reaction and then sequenced.The mutation sites associated with drug resistance and the degree of drug resistance were then analyzed. Results A total of 615 HIV-infected men were included in the study.The genetic subtypes of CRF01_AE,CRF07_BC,and CRF08_BC accounted for 57.4% (353/615),17.1% (105/615),and 22.4% (138/615),respectively.The mutations associated with the resistance to nucleoside reverse transcriptase inhibitors (NRTI),non-nucleoside reverse transcriptase inhibitors (NNRTI),and protease inhibitors occurred in 8 (1.3%),18 (2.9%),and 0 patients,respectively.M184V (0.7%) and K103N (1.8%) were the mutations with the highest occurrence rates for the resistance to NRTIs and NNRTIs,respectively.Twenty-two (3.6%) patients were resistant to at least one type of inhibitors.Specifically,4 (0.7%),14 (2.3%),4 (0.7%),and 0 patients were resistant to NRTIs,NNRTIs,both NRTIs and NNRTIs,and protease inhibitors,respectively.The pretreatment resistance to NNRTIs had much higher frequency than that to NRTIs (2.9% vs.1.3%;χ2=3.929,P=0.047).The prevalence of pretreatment resistance to lamivudine,zidovudine,tenofovir,abacavir,rilpivirine,efavirenz,nevirapine,and lopinavir/ritonavir was 0.8%, 0.3%, 0.7%, 1.0%, 1.3%, 2.8%, 2.9%, and 0, respectively. Conclusions CRF01_AE,CRF07_BC,and CRF08_BC are the three major strains of HIV-infected men≥50 years old newly reported in Guangxi,2020,and the pretreatment drug resistance demonstrates low prevalence.

[Analysis of human gastric cancer by transcriptome and proteome profiling].

OBJECTIVE: To screen differential expression genes and proteins at transcriptome and proteome levels between human gastric cancer tissue and corresponding normal mucosa. METHODS: Fresh-frozen gastric cancers were collected from patients treated at Ruijin Hospital. A total of 22 pairs of gastric cancer tissues and the corresponding noncancerous mucosa were analyzed. Commercially available cDNA microarray with 14 592 genes/ESTs was used. Genes were considered to be up-or down-regulated when the intensity ratio Cy3/Cy5 was > or = 2 or < or = 0.5 in over 50% samples (P<0.05). Immobilized pH gradient(IPG)-based 2-DE was applied to separate the total proteins of gastric cancer tissue and paired normal tissue. After staining and analysis by software,the differential expression proteins were identified by matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS) or MALDI-TOF-TOF-MS. RESULTS: As compared with corresponding noncancerous tissue, there were totally 149 up-regulating genes/ESTs and 238 down-regulating genes/ESTs in gastric cancer, including 29 genes with 3-fold over-expression ratio and 21 genes with 5-fold under-expression. Fifteen protein spots were identified successfully, among whom there were ten over-expressed and five under-expressed proteins in gastric cancer tissue compared with normal tissue. Most of over-expressed genes and proteins were related to cell motility, cell proliferation, signal transduction, while those under-expressed genes and proteins were related to defense response, toxoid metabolism. CONCLUSION: Studying gastric cancer at transcriptome and proteome levels can help demonstrate tumorigenesis and biological characteristics of gastric cancer comprehensively and provide powerful tools to find new biomarkers associated with gastric cancer and therapy targets.

[Gene expression profiling of diffuse-type gastric cancer by cDNA microarray].

OBJECTIVE: To identify cancer-related genes in diffuse-type gastric cancer and to explore its molecular mechanism by cDNA microarray analysis. METHODS: A total of 22 pairs of diffuse-type gastric cancer tissue and the corresponding normal mucosa were taken and freshly frozen. cDNA microarray with 14,592 genes/ESTs was used. Genes were considered to be up- or down-regulated when the fluorescent intensity ratio between tumor and normal mucosa was over 2-fold in over 50% of the samples (P < 0.05). Hierarchical clustering of regulated genes was performed as a measure to study expressional similarity. Validation of array results was carried out by real time quantitative PCR (QPCR). RESULTS: Compared with those of corresponding normal mucosa, there were a total of 153 genes/ESTs up-regulated and 204 down-regulated in diffuse-type gastric cancer. Hierarchical clustering demonstrated that the genes belonging to the same subgroup displayed similar function. Most of the overexpressed genes were those related to cell adhesion, cell motility, matrix reconstruction, cell proliferation and/or signal transduction; while genes related to defense response, toxicoid metabolism, DNA repairing, nuclear-cytoplasmic transport and/or anti-apoptosis made up the main list of the underexpressed genes. Seven genes showed higher expression in TNM (T I + T II) group than in (T III + T IV) group. QPCR confirmed the array analysis results. CONCLUSION: Gene expression profiling by cDNA microarray analysis provides not only molecular understanding of biological properties of cancer, but may also be helpful in discovering new diagnostic markers and therapeutic targets in gastric adenocarcinoma.