Animals ; Blood Coagulation Tests ; Liver ; blood supply ; metabolism ; Male ; NF-kappa B ; biosynthesis ; genetics ; Peroxidase ; biosynthesis ; genetics ; RNA, Messenger ; biosynthesis ; genetics ; Rats ; Rats, Wistar ; Reperfusion Injury ; metabolism ; Thromboplastin ; biosynthesis ; genetics

Purpose: To find biomarkers for disease, there have been constant attempts to investigate the genes that differ from those in the disease groups. However, the values that lie outside the overall pattern of a distribution, the outliers, are frequently excluded in traditional analytical methods as they are considered to be ‘some sort of problem.’ Such outliers may have a biologic role in the disease group. Thus, this study explored new biomarker using outlier analysis, and verified the suitability of therapeutic potential of two genes (TM4SF4 and LRRK2). Materials and Methods: Modified Tukey’s fences outlier analysis was carried out to identify new biomarkers using the public gene expression datasets. And we verified the presence of the selected biomarkers in other clinical samples via customized gene expression panels and tissue microarrays. Moreover, a siRNA-based knockdown test was performed to evaluate the impact of the biomarkers on oncogenic phenotypes. Results: TM4SF4 in lung cancer and LRRK2 in breast cancer were chosen as candidates among the genes derived from the analysis. TM4SF4 and LRRK2 were overexpressed in the small number of samples with lung cancer (4.20%) and breast cancer (2.42%), respectively. Knockdown of TM4SF4 and LRRK2 suppressed the growth of lung and breast cancer cell lines. The LRRK2 overexpressing cell lines were more sensitive to LRRK2-IN-1 than the LRRK2 under-expressing cell lines Conclusion Our modified outlier-based analysis method has proved to rescue biomarkers previously missed or unnoticed by traditional analysis showing TM4SF4 and LRRK2 are novel target candidates for lung and breast cancer, respectively.

OBJECTIVETo investigate the distribution of abnormal hilit syndromes in traditional Uighur medicine (TUM) among human immunodeficiency virus infection and acquired immune deficiency syndrome (HIV/AIDS) patients, and to find out the clinical characteristics of abnormal savda syndrome type HIV/AIDS patients.

METHODSBetween June and July in 2012, 307 eligible HIV/AIDS patients from in-patient department and out-patient clinics of Xinjiang Uighur Autonomous Region the Sixth People's Hospital in Urumqi were investigated. TUM syndrome differentiation was performed by a senior TUM physician. Each participant completed a Sign and Symptom Check-List for Persons Living with HIV/AIDS (SSC-HIV) questionnaire. Depression was evaluated by using Hamilton Rating Scale for Depression Questionnaire. Blood specimen was collected from each participant to test the levels of blood chemicals.

RESULTSOf 307 HIV/AIDS patients, 189 (61.6%) were abnormal savda syndrome type, 118 (38.4%) were non-abnormal-savda syndrome type. Mean CD4 counts of abnormal savda syndrome type patients was (227.61±192.93) cells/µL, and the prevalence of anemia, thrombocytopenia, and elevated cystatin C were 49.7%, 28.6%, and 44.7%, which were significantly higher than those in the non-abnormal-savda syndrome type patients (26.3%, 16.0% and 25.0%,P<0.05). In addition, depression (79.9%) and HIV/AIDS-related symptoms such as fatigue (42.3%), back aches (40.7%), lack of appetite (33.9%), night sweats (31.7%) were more common among abnormal savda syndrome patients (P<0.05).

CONCLUSIONAbnormal savda syndrome is the dominant syndrome among HIV/AIDS patients, and they present a more sever clinical manifestation.

Acquired Immunodeficiency Syndrome ; diagnosis ; Adult ; CD4 Lymphocyte Count ; China ; ethnology ; Cross-Sectional Studies ; Female ; HIV Infections ; diagnosis ; Humans ; Male ; Medicine, Traditional ; Middle Aged ; Surveys and Questionnaires