TNF-alpha and IL-17 cytokine levels in Brazilian patients with ankylosing spondylitis after anti-TNF therapy

Abstract The aim of this study was to evaluate tumor necrosis factor alpha (TNF-α), interleukin (IL)- 17A/F levels in the serum of ankylosing spondylitis (AS) patients after anti-TNF therapy, in order to understand how these cytokines are involved in this therapeutic response. Forty-four AS patients were included in the study: thirty using anti-TNF therapy were classified according to their therapy response as responders (15) and non-responders (15) and 14 without anti-TNF therapy were classified as AS control. Fifteen healthy individuals formed the control group. Serum levels of TNF-α were determined using Luminex technology and for IL-17A and IL-17F using ELISA. The non-responder patients presented higher serum levels of TNF-α than the responders and AS control; the same results were found when HLA-B*27 positive or negative patients were separately analyzed. IL-17A and IL17F serum levels were similar for all groups. According to the clinical disease activity, AS patients with BASDAI ≥4 had higher serum levels of TNF-α than AS patients with BASDAI <4. Positive correlation was found between TNF-α levels and BASDAI. In AS patients, TNF-α serum levels were associated with anti-TNF therapy and disease activity independently of HLA-B*27, and IL-17A and IL-17F were not related to anti-TNF treatment

Human neuronal networks on micro-electrode arrays are a highly robust tool to study disease-specific genotype-phenotype correlations in vitro.

Micro-electrode arrays (MEAs) are increasingly used to characterize neuronal network activity of human induced pluripotent stem cell (hiPSC)-derived neurons. Despite their gain in popularity, MEA recordings from hiPSC-derived neuronal networks are not always used to their full potential in respect to experimental design, execution, and data analysis. Therefore, we benchmarked the robustness of MEA-derived neuronal activity patterns from ten healthy individual control lines, and uncover comparable network phenotypes. To achieve standardization, we provide recommendations on experimental design and analysis. With such standardization, MEAs can be used as a reliable platform to distinguish (disease-specific) network phenotypes. In conclusion, we show that MEAs are a powerful and robust tool to uncover functional neuronal network phenotypes from hiPSC-derived neuronal networks, and provide an important resource to advance the hiPSC field toward the use of MEAs for disease phenotyping and drug discovery.

A population-based association study of 2q32.3 and 8q21.3 loci with schizophrenia in Han Chinese.

It has been reported that two new schizophrenia susceptibility loci (2q32.3 and 8q21.3) containing two single-nucleotide polymorphisms (SNPs; rs17662626 and rs7004633) have been identified in Europeans by a genome-wide association study. To determine if the two regions are associated with schizophrenia in Han Chinese, which are distinct from Europeans, we analyzed 9 SNPs, including rs17662626 and rs7004633, within 2 regions involving 1430 cases and 1570 controls from the Han population. Single SNP association, haplotype association, and gender-specific association analyses were performed. Single SNP analyses revealed that there was no association with schizophrenia in the region of 2q32.3, but rs7004633 mapping to the region of 8q21.3 was significantly associated with schizophrenia (p = 5.1 × 10(-5); OR = 1.274; 95% CI, 1.134-1.429). Further genotype and haplotype association analyses for the region of 8q21.3 suggested a similar pattern. Additionally, analyses by haplotypes indicated that a haplotype block in the region of 8q21.3 highly associated with schizophrenia and one haplotype in this haploblock had a 1.5-fold increase in the cases. Our results provide further evidence regarding the association of the region of 8q21.3 with schizophrenia in Han Chinese, as well as Europeans, which confirmed the previous report that 8q21.3 may play important roles in the etiology of schizophrenia.

An in vivo functional analysis system for renal gene discovery in Drosophila pericardial nephrocytes.

The difficulty in accessing mammalian nephrons in vivo hinders the study of podocyte biology. The Drosophila nephrocyte shares remarkable similarities to the glomerular podocyte, but the lack of a functional readout for nephrocytes makes it challenging to study this model of the podocyte, which could potentially harness the power of Drosophila genetics. Here, we present a functional analysis of nephrocytes and establish an in vivo system to screen for renal genes. We found that nephrocytes efficiently take up secreted fluorescent protein, and therefore, we generated a transgenic line carrying secreted fluorescent protein and combined it with a nephrocyte-specific driver for targeted gene knockdown, allowing the identification of genes required for nephrocyte function. To validate this system, we examined the effects of knocking down sns and duf, the Drosophila homologs of nephrin and Neph1, respectively, in pericardial nephrocytes. Knockdown of sns or duf completely abolished the accumulation of the fluorescent protein in pericardial nephrocytes. Examining the ultrastructure revealed that the formation of the nephrocyte diaphragm and lacunar structure, which is essential for protein uptake, requires sns. Our preliminary genetic screen also identified Mec2, which encodes the homolog of mammalian Podocin. Taken together, these data suggest that the Drosophila pericardial nephrocyte is a useful in vivo model to help identify genes involved in podocyte biology and facilitate the discovery of renal disease genes.

Laterally orienting C. elegans using geometry at microscale for high-throughput visual screens in neurodegeneration and neuronal development studies.

C. elegans is an excellent model system for studying neuroscience using genetics because of its relatively simple nervous system, sequenced genome, and the availability of a large number of transgenic and mutant strains. Recently, microfluidic devices have been used for high-throughput genetic screens, replacing traditional methods of manually handling C. elegans. However, the orientation of nematodes within microfluidic devices is random and often not conducive to inspection, hindering visual analysis and overall throughput. In addition, while previous studies have utilized methods to bias head and tail orientation, none of the existing techniques allow for orientation along the dorso-ventral body axis. Here, we present the design of a simple and robust method for passively orienting worms into lateral body positions in microfluidic devices to facilitate inspection of morphological features with specific dorso-ventral alignments. Using this technique, we can position animals into lateral orientations with up to 84% efficiency, compared to 21% using existing methods. We isolated six mutants with neuronal development or neurodegenerative defects, showing that our technology can be used for on-chip analysis and high-throughput visual screens.