[Screening for Characteristic Genes of Different Traditional Chinese Medicine Syndromes of Psoriasis Vulgaris: A Study Based on Bioinformatics and Machine Learning]. / ç”Ÿç‰©ä¿¡æ¯å­¦å’Œæœºå™¨å­¦ä¹ ç­›é€‰é“¶å±‘ç— ä¸­åŒ»è¯åž‹ç‰¹å¾åŸºå› .

Objective: To screen for the key characteristic genes of the psoriasis vulgaris (PV) patients with different Traditional Chinese Medicine (TCM) syndromes, including blood-heat syndrome (BHS), blood stasis syndrome (BSS), and blood-dryness syndrome (BDS), through bioinformatics and machine learning and to provide a scientific basis for the clinical diagnosis and treatment of PV of different TCM syndrome types. Methods: The GSE192867 dataset was downloaded from Gene Expression Omnibus (GEO). The limma package was used to screen for the differentially expressed genes (DEGs) of PV, BHS, BSS, and BDS in PV patients and healthy populations. In addition, KEGG (Kyoto Encyclopedia of Genes and Genes) pathway enrichment analysis was performed. The DEGs associated with PV, BHS, BSS, and BDS were identified in the screening and were intersected separately to obtain differentially characterized genes. Out of two algorithms, the support vector machine (SVM) and random forest (RF), the one that produced the optimal performance was used to analyze the characteristic genes and the top 5 genes were identified as the key characteristic genes. The receiver operating characteristic (ROC) curves of the key characteristic genes were plotted by using the pROC package, the area under curve (AUC) was calculated, and the diagnostic performance was evaluated, accordingly. Results: The numbers of DEGs associated with PV, BHS, BSS, and BDS were 7699, 7291, 7654, and 6578, respectively. KEGG enrichment analysis was focused on Janus kinase (JAK)/signal transducer and activator of transcription (STAT), cyclic adenosine monophosphate (cAMP), mitogen-activated protein kinase (MAPK), apoptosis, and other pathways. A total of 13 key characteristic genes were identified in the screening by machine learning. Among the 13 key characteristic genes, malectin (MLEC), TUB like protein 3 (TULP3), SET domain containing 9 (SETD9), nuclear envelope integral membrane protein 2 (NEMP2), and BTG anti-proliferation factor 3 (BTG3) were the key characteristic genes of BHS; phosphatase 15 (DUSP15), C1q and tumor necrosis factor related protein 7 (C1QTNF7), solute carrier family 12 member 5 (SLC12A5), tripartite motif containing 63 (TRIM63), and ubiquitin associated protein 1 like (UBAP1L) were the key characteristic genes of BSS; recombinant mouse protein (RRNAD1), GTPase-activating protein ASAP3 Protein (ASAP3), and human myomesin 2 (MYOM2) were the key characteristic genes of BDS. Moreover, all of them showed high diagnostic efficacy. Conclusion: There are significant differences in the characteristic genes of different PV syndromes and they may be potential biomarkers for diagnosing TCM syndromes of PV.

Mortality Risk Factors Among People Living with HIV Receiving Second-line Antiretroviral Therapy in Rural China.

BACKGROUND: Second-line antiretroviral therapy (ART) was introduced in Henan Province in 2009. The number of people living with human immunodeficiency virus (HIV) starting this therapy is increasing. OBJECTIVE: This study aimed to investigate the survival and factors affecting mortality among this group. METHODS: We conducted a retrospective cohort study of people living with HIV (PLHIV) who switched to second-line ART between May 1, 2010, and May 1, 2016, using the Kaplan-Meier method and Cox proportional hazards models. RESULTS: We followed 3,331 PLHIV for 26,988 person-years, of whom 508 (15.3%) died. The mortality rate was 1.88/100 person-years. After adjusting for confounding factors, we found being a woman (hazard ratio (HR), 0.66; 95% confidence interval (CI) 0.55-0.79), > 50 years old (HR, 2.69; 95% CI, 2.03-3.56), single/widowed (HR, 1.26; 95% CI, 1.04-1.52), having > 6 years of education (HR, 0.78; 95% CI, 0.65-0.94), Chinese medicine (HR, 0.75; 95% CI, 0.52-0.96), liver injury (HR, 1.58; 95% CI, 1.19-2.10), and CD4+ T cell count <200 cells/µl (HR, 1.94; 95% CI, 1.47-2.55), or 200-350 cells/µl (HR, 1.37; 95% CI, 1.03-1.82) were associated with mortality risk. CONCLUSIONS: We found lower mortality among PLHIV who switched to second-line ART than most previous studies. The limitations of a retrospective cohort may, therefore, have biased the data, and prospective studies are needed to confirm the results. Moreover, Chinese medicine combined with second-line ART shows potential as a treatment for HIV.

Suboptimal immune recovery and associated factors among people living with HIV/AIDS on second-line antiretroviral therapy in central China: A retrospective cohort study.

The introduction and scale-up of antiretroviral therapy (ART) have contributed to significantly improved patients with acquired immune deficiency syndrome (AIDS) quality of life and prolongs their survival. This has occurred by suppressing viral replication and recovering the CD4 cell count. However, some patients do not normalize their CD4 cell count, despite suppression of the viral load (VL). Patients with suboptimal immune recovery (SIR), as defined by a VL < 400 copies/ml with a CD4 cell count of<200 cells/µl, after ART initiation, exhibit severe immune dysfunction and have a higher risk of AIDS and non-AIDS events. In recent years, People living with HIV/AIDS (PLWHA) with first-line ART failure began to gradually switch to second-line ART. This study aimed to examine the prevalence and factors affecting SIR among PLWHA who switch to second-line ART in rural China. A 1-year retrospective cohort study was conducted among PLWHA who switched to second-line ART between January 2009 and December 2018. All patients with a VL < 400 copies/ml after 1 year of second-line ART were included. SIR was defined as a CD4 cell count <200 cells/µl and a VL < 400 copies/ml after 1 year of second-line ART. The data collected from medical records were analyzed by univariate and multivariate analyses. A total of 5294 PLWHA met the inclusion criteria, 24 died, and 1152 were lost to follow-up after 1 year of second-line ART. Among 4118 PLWHA who were followed up, 3039 with a VL < 400 copies/ml had their data analyzed, and the prevalence of SIR was 13.1%. The patients' mean age at recruitment was 47.6 ± 8.1 years and 45.3% were men. A total of 30.7% of patients were HIV-positive for >8 years and 88.2% were receiving ART before starting second-line ART for >3 years. The mean CD4 cell count was 354.8 ± 238.2 cells/µl. A multivariable analysis showed that male sex, single status (unmarried or divorced), and a low CD4 cell count were risk factors for SIR among PLWHA with second-line ART. The prevalence of SIR among PLWHA who switched to second-line ART in this retrospective cohort study is lower than that in most other studies. Several factors associated with SIR include male sex, marital status, and CD4 cell count levels in PLWHA.