Prediction of HCV load using genotype,liver biomarkers,and clinical symptoms by a mathematical model in patients with HCV infection

Hepatitis C virus (HCV) infection is a major public health problem with about 1.75 million new HCV cases and 71 million chronic HCV infections worldwide. The study aimed to evaluate clinical, serological, molecular, and liver markers to develop a mathematical predictive model for the quantification of the HCV viral load in chronic HCV infected patients. In this cross‐sectional study, blood samples were taken from 249 recently diagnosed HCV‐infected subjects and were tested for liver condition, viral genotype, and HCV RNA load. Receiver operating characteristics (ROC) curves and multiple linear regression analysis were used to predict the HCV‐RNA load. Genotype 3 followed by genotype 1 were the most prevalent genotypes in Mashhad, Northeastern Iran. The maximum levels of viral load were detected in the mixed genotype group, and the lowest levels in the undetectable genotype group. The log of the HCV viral load was significantly associated with thrombocytopenia and higher serum levels of alanine transaminase (ALT). In addition, the log HCV RNA was significantly higher in patients with arthralgia, fatigue, fever, vomiting, or dizziness. Moreover, genotype 3 was significantly associated with icterus. A ROC curve analysis revealed that the best cut‐off points for serum levels of aspartate aminotransferase (AST), ALT, and alkaline phosphatase (ALP) were >31, >34, and ≤246 IU/L, respectively. Sensitivity, specificity, and positive predictive values for AST were 87.7%, 84.36%, and 44.6%, for ALT they were 83.51%, 81.11%, and 36%, and for ALP were 72.06%, 42.81%, and 8.3%, respectively. A mathematical regression model was developed that could estimate the HCV‐RNA load. Regression model: log viral load = 7.69 ? 1.01 × G3 ? 0.7 × G1 + 0.002 × ALT ? 0.86 × fatigue.     

Induction of CAF-1 expression in response to DNA strand breaks in quiescent human cells

Genome stability in eukaryotic cells is maintained through efficient DNA damage repair pathways, which have to access and utilize chromatin as their natural template. Here we investigate the role of chromatin assembly factor 1 (CAF-1) and its interacting protein, PCNA, in the response of quiescent human cells to DNA double-strand breaks (DSBs). The expression of CAF-1 and PCNA is dramatically induced in quiescent cells upon the generation of DSBs by the radiomimetic drug bleocin (a bleomycin compound) or by ionizing radiation. This induction depends on DNA-PK. CAF-1 and PCNA are recruited to damaged chromatin undergoing DNA repair of single- and double-strand DNA breaks by the base excision repair and nonhomologous end-joining pathways, respectively, in the absence of extensive DNA synthesis. CAF-1 prepared from repair-proficient quiescent cells after induction by bleocin mediates nucleosome assembly in vitro. Depletion of CAF-1 by RNA interference in bleocin-treated quiescent cells in vivo results in a significant loss of cell viability and an accumulation of DSBs. These results support a novel and essential role for CAF-1 in the response of quiescent human cells to DSBs, possibly by reassembling chromatin following repair of DNA strand breaks.     

Identification of the ancestral killer immunoglobulin-like receptor gene in primates

Background

The recent advancement in human genome sequencing and genotyping has revealed millions of single nucleotide polymorphisms (SNP) which determine the variation among human beings. One of the particular important projects is The International HapMap Project which provides the catalogue of human genetic variation for disease association studies. In this paper, we analyzed the genotype data in HapMap project by using National Institute of Environmental Health Sciences Environmental Genome Project (NIEHS EGP) SNPs. We first determine whether the HapMap data are transferable to the NIEHS data. Then, we study how well the HapMap SNPs capture the untyped SNPs in the region. Finally, we provide general guidelines for determining whether the SNPs chosen from HapMap may be able to capture most of the untyped SNPs.

Results

Our analysis shows that HapMap data are not robust enough to capture the untyped variants for most of the human genes. The performance of SNPs for European and Asian samples are marginal in capturing the untyped variants, i.e. approximately 55%. Expectedly, the SNPs from HapMap YRI panel can only capture approximately 30% of the variants. Although the overall performance is low, however, the SNPs for some genes perform very well and are able to capture most of the variants along the gene. This is observed in the European and Asian panel, but not in African panel. Through observation, we concluded that in order to have a well covered SNPs reference panel, the SNPs density and the association among reference SNPs are important to estimate the robustness of the chosen SNPs.

Conclusion

We have analyzed the coverage of HapMap SNPs using NIEHS EGP data. The results show that HapMap SNPs are transferable to the NIEHS SNPs. However, HapMap SNPs cannot capture some of the untyped SNPs and therefore resequencing may be needed to uncover more SNPs in the missing region.     

Identification of the proteins interacting with neuroprotective peptide humanin in a yeast two-hybrid system

Humanine is a human neuroprotective peptide with a wide action spectrum. To analyze molecular mechanisms of humanin functioning, a search for proteins interacting with this peptide was conducted using yeast two-hybrid system. Screening of human fetal brain cDNA library identified seven proteins with different functions that specifically interacted with humanin.     

Demonstrating the Manufacture of Human CAR‐T Cells in an Automated Stirred‐Tank Bioreactor

Chimeric antigen receptor T‐cell (CAR‐T) therapies have proven clinical efficacy for the treatment of hematological malignancies. However, CAR‐T cell therapies are prohibitively expensive to manufacture. The authors demonstrate the manufacture of human CAR‐T cells from multiple donors in an automated stirred‐tank bioreactor. The authors successfully produced functional human CAR‐T cells from multiple donors under dynamic conditions in a stirred‐tank bioreactor, resulting in overall cell yields which were significantly better than in static T‐flask culture. At agitation speeds of 200 rpm and greater (up to 500 rpm), the CAR‐T cells are able to proliferate effectively, reaching viable cell densities of >5 × 10⁶ cells ml‐1 over 7 days. This is comparable with current expansion systems and significantly better than static expansion platforms (T‐flasks and gas‐permeable culture bags). Importantly, engineered T‐cells post‐expansion retained expression of the CAR gene and retained their cytolytic function even when grown at the highest agitation intensity. This proves that power inputs used in this study do not affect cell efficacy to target and kill the leukemia cells. This is the first demonstration of human CAR‐T cell manufacture in stirred‐tank bioreactors and the findings present significant implications and opportunities for larger‐scale allogeneic CAR‐T production.     

Antimicrobial peptides in the duodenum at the acute and convalescent stages in patients with diarrhea due to Vibrio cholerae O1 or enterotoxigenic Escherichia coli infection

Patients with acute watery diarrhea caused by Vibrio cholerae O1 or enterotoxigenic Escherichia coli (ETEC) were analyzed for innate immune factors produced by the epithelium during the disease process. Duodenal biopsies were obtained from study participants at the acute (day 2) and convalescent (day 21) stages of disease. Levels of α-defensin (HD-5 and -6), β-defensin (hBD-1-4), and cathelicidin (LL-37) mRNAs were determined by real-time qRT-PCR. hBD-2, HD-5, LL-37 peptides were analyzed in duodenal epithelium by immunomorphometry. Concentration of hBD-2 in stool was determined by ELISA. Specimens from healthy controls were also analyzed. hBD-2 mRNA levels were significantly increased at acute stage of diarrhea; hBD-2 peptide was detected in fecal specimens but barely in duodenal epithelium at acute stage. Immunomorphometry analysis showed that Paneth cells contain significantly higher amounts of HD-5 pre/propeptide at convalescence (P<0.01) and in healthy controls (P<0.001) compared to acute stage, LL-37 peptide levels also decreased at acute stage while mRNA levels remained unchanged. mRNA expression levels of the other antimicrobial peptides remained unchanged with higher levels of α-defensins than β-defensins. V. cholerae induced an innate immune response at the acute stage of disease characterized by increased expression of hBD-2, and continued expression of hBD-1, HD-5-6, and LL-37.     

PUB-MS: a mass spectrometry-based method to monitor protein-protein proximity in vivo

The common techniques to study protein-protein proximity in vivo are not well adapted to the capabilities and the expertise of a standard proteomics laboratory, typically based on the use of mass spectrometry. With the aim of closing this gap, we have developed PUB-MS (for proximity utilizing biotinylation and mass spectrometry), an approach to monitor protein-protein proximity, based on biotinylation of a protein fused to a biotin-acceptor peptide (BAP) by a biotin-ligase, BirA, fused to its interaction partner. The biotinylation status of the BAP can be further detected by either Western analysis or mass spectrometry. The BAP sequence was redesigned for easy monitoring of the biotinylation status by LC-MS/MS. In several experimental models, we demonstrate that the biotinylation in vivo is specifically enhanced when the BAP- and BirA-fused proteins are in proximity to each other. The advantage of mass spectrometry is demonstrated by using BAPs with different sequences in a single experiment (allowing multiplex analysis) and by the use of stable isotopes. Finally, we show that our methodology can be also used to study a specific subfraction of a protein of interest that was in proximity with another protein at a predefined time before the analysis.     

Biomarkers predicting tumor response and evasion to anti-angiogenic therapy

No fully validated biological markers currently exist to predict responsiveness to or the development of evasion to anti-angiogenic therapy of cancer. The identification of such biomarkers is vital to move these therapies forward, as failure to respond to these treatments is often associated with rapid tumor progression that could have been averted had the intrinsic or acquired evasion to anti-angiogenic therapy been identified in a timely fashion. Furthermore, the high cost of antiangiogenic therapies makes it important to avoid utilizing them in the setting of lack of response or developing evasion, making the identification of biomarkers even more important. A number of potential physiologic, circulating, tissue, and imaging biomarkers have emerged from recently completed preclinical animal studies and clinical trials. In this review, we define 5 different types of biomarkers (physiologic, circulating, intratumoral, genetic polymorphisms, and radiographic); discuss the challenges in establishing biomarkers of antiangiogenic therapy in animal models and in clinical trials; and discuss future strategies to identify and validate biomarkers of anti-angiogenic therapy.