How obsessive-compulsive and bipolar disorders meet each other? An integrative gene-based enrichment approach

Background: The novel approaches to psychiatric classification assume that disorders, contrary to what was previously thought, are not completely separate phenomena. In this regard, in addition to symptom-based criteria, disturbances are also considered on the basis of lower level components. With this viewpoint, identifying common biochemical markers would be beneficial in adopting a comprehensive strategy for prevention, diagnosis and treatment. Main body: One of the problematic areas in clinical settings is the coexistence of both obsessive-compulsive disorder (OCD) and bipolar disorder (BD) that is challenging and difficult to manage. In this study, using a system biologic approach we aimed to assess the interconnectedness of OCD and BD at different levels. Gene Set Enrichment Analysis (GSEA) method was used to identify the shared biological network between the two disorders. The results of the analysis revealed 34 common genes between the two disorders, the most important of which were CACNA1C, GRIA1, DRD2, NOS1, SLC18A1, HTR2A and DRD1. Dopaminergic synapse and cAMP signaling pathway as the pathways, dopamine binding and dopamine neurotransmitter receptor activity as the molecular functions, dendrite and axon part as the cellular component and cortex and striatum as the brain regions were the most significant commonalities. Short conclusion: The results of this study highlight the role of multiple systems, especially the dopaminergic system in linking OCD and BD. The results can be used to estimate the disease course, prognosis, and treatment choice, particularly in the cases of comorbidity. Such perspectives, going beyond symptomatic level, help to identify common endophenotypes between the disorders and provide diagnostic and therapeutic approaches based on biological in addition to the symptomatic level. © 2020 The Author(s)

Design and simulation of a new QCA-based low-power universal gate

Quantum-dot Cellular Automata (QCA) is recognized in electronics for its low power consumption and high-density capabilities, emerging as a potential substitute for CMOS technology. GDI (Gate Diffusion Input) technology is featured as an innovative approach for enhancing power efficiency and spatial optimization in digital circuits. This study introduces an advanced four-input Improved Gate Diffusion Input (IGDI) design specifically for QCA technology as a universal gate. A key feature of the proposed 10-cell block is the absence of cross-wiring, which significantly enhances the circuit’s operational efficiency. Its universal cell nature allows for the carrying out of various logical gates by merely altering input values, without necessitating any structural redesign. The proposed design showcases notable advancements over prior models, including a reduced cell count by 17%, a 29% decrease in total energy usage, and a 44% reduction in average energy loss. This innovative IGDI design efficiently executes 21 combinational and various sequential functions. Simulations in 18 nm technology, accompanied by energy consumption analyses, demonstrate this design’s superior performance compared to existing models in key areas such as multiplexers, comparators, and memory circuits, alongside a significant reduction in cell count

Bone mineral density status in patients with recent-onset rheumatoid arthritis

Background: Osteoporosis is a sizable comorbidity complication in Rheumatoid Arthritis (RA) sufferers. In the current study, the prevalence of osteopenia and osteoporosis in active RA sufferers and the association of disease-related factors of osteoporosis and reduced bone mineral density (BMD) have been examined. Methods: In this cross-sectional study, 300 new-onset symptoms (less than one year) RA patients without a history of glucocorticoids or DMARDs were selected. Biochemical blood measurements and BMD status were performed with dual-energy X-ray absorptiometry. According to the T-scores of the patients, they were divided into three groups: osteoporosis<-2.5, -2.5 < osteopenia <-1, and − 1 < normal. Also, the MDHAQ questionnaire, DAS-28, and FRAX criteria were calculated for all patients. Multivariate logistic regression was used to determine the associated factors of osteoporosis and osteopenia. Results: The Prevalence of osteoporosis and osteopenia was 27% (95%CI:22–32) and 45% (95%CI:39–51), respectively. The multivariate regression analysis showed that age could play a role as an associated factor for spine/hip Osteoporosis and Osteopenia. The female gender is also a predictor of Spine osteopenia Patients with Total hip Osteoporosis were more likely to have higher DAS-28 (OR 1.86, CI 1.16–3.14) and positive CRP (OR 11.42, CI 2.65–63.26). Conclusion: recent-onset RA patients are at risk for osteoporosis and its complications, regardless of using glucocorticoids or DMARDs. Demographic factors (e.g. age and female gender), patients’ MDHAQ scores, and disease-related factors(e.g., DAS-28, positive CRP were associated with reduced BMD levels. Therefore, it is recommended that clinicians investigate early BMD measurements to have a reasonable judgment for further interventions. © 2023, The Author(s), under exclusive licence to Tehran University of Medical Sciences

Erratum to: Delta rhythmicity is a reliable EEG biomarker in Angelman syndrome: a parallel mouse and human analysis

After publication of our article [1], we became aware that there were two minor data loading and analysis scripting errors in the human EEG data processing pipeline. These errors affected the channel loading/grouping and sleep/ wake coding of EEG data. We have re-analysed all the data affected by these errors. The errors do not affect any interpretations or conclusions, thus no changes to the text are required apart from correcting p values and raw values affected by the errors. There are no changes to statistical significance or lack-thereof. The errors affect data presented in Fig. 3, Fig. 4, Fig. 5, and Additional file 3: Figure S3 and thus we have re-plotted these figures (see below)

Antibody subclass and glycosylation shift following effective TB treatment

With an estimated 25% of the global population infected with Mycobacterium tuberculosis (Mtb), tuberculosis (TB) remains a leading cause of death by infectious diseases. Humoral immunity following TB treatment is largely uncharacterized, and antibody profiling could provide insights into disease resolution. Here we focused on the distinctive TB-specific serum antibody features in active TB disease (ATB) and compared them with latent TB infection (LTBI) or treated ATB (txATB). As expected, di-galactosylated glycan structures (lacking sialic acid) found on IgG-Fc differentiated LTBI from ATB, but also discriminated txATB from ATB. Moreover, TB-specific IgG4 emerged as a novel antibody feature that correlated with active disease, elevated in ATB, but significantly diminished after therapy. These findings highlight 2 novel TB-specific antibody changes that track with the resolution of TB and may provide key insights to guide TB therapy.Immunogenetics and cellular immunology of bacterial infectious disease

Thin Polymer Brush Decouples Biomaterial's Micro-/Nano-Topology and Stem Cell Adhesion

Surface morphology and chemistry of polymers used as biomaterials, such as tissue engineering scaffolds, have a strong influence on the adhesion and behavior of human mesenchymal stem cells. Here we studied semicrystalline poly(ε-caprolactone) (PCL) substrate scaffolds, which exhibited a variation of surface morphologies and roughness originating from different spherulitic superstructures. Different substrates were obtained by varying the parameters of the thermal processing, i.e. crystallization conditions. The cells attached to these polymer substrates adopted different morphologies responding to variations in spherulite density and size. In order to decouple substrate topology effects on the cells, sub-100 nm bio-adhesive polymer brush coatings of oligo(ethylene glycol) methacrylates were grafted from PCL and functionalized with fibronectin. On surfaces featuring different surface textures, dense and sub-100 nm thick brush coatings determined the response of cells, irrespective to the underlying topology. Thus, polymer brushes decouple substrate micro-/nano-topology and the adhesion of stem cells

FIB patterning of stainless steel for the development of nano-structured stent surfaces for cardiovascular applications

Stent implantation is a percutaneous interventional procedure that mitigates vessel stenosis, providing mechanical support within the artery and as such a very valuable tool in the fight against coronary artery disease. However, stenting causes physical damage to the arterial wall. It is well accepted that a valuable route to reduce in-stent re-stenosis can be based on promoting cell response to nano-structured stainless steel (SS) surfaces such as by patterning nano-pits in SS. In this regard patterning by focused ion beam (FIB) milling offers several advantages for flexible prototyping. On the other hand FIB patterning of polycrystalline metals is greatly influenced by channelling effects and redeposition. Correlative microscopy methods present an opportunity to study such effects comprehensively and derive structure–property understanding that is important for developing improved patterning. In this chapter we present a FIB patterning protocol for nano-structuring features (concaves) ordered in rectangular arrays on pre-polished 316L stainless steel surfaces. An investigation based on correlative microscopy approach of the size, shape and depth of the developed arrays in relation to the crystal orientation of the underlying SS domains is presented. The correlative microscopy protocol is based on cross-correlation of top-view scanning electron microscopy, electron backscattering diffraction, atomic force microscopy and cross-sectional (serial) sectioning. Various FIB tests were performed, aiming at improved productivity by preserving nano-size accuracy of the patterned process. The optimal FIB patterning conditions for achieving reasonably high throughput (patterned rate of about 0.03 mm2/h) and nano-size accuracy in dimensions and shapes of the features are discussed as well