Machine learning for synergistic network pharmacology: a comprehensive overview.

Network pharmacology is an emerging area of systematic drug research that attempts to understand drug actions and interactions with multiple targets. Network pharmacology has changed the paradigm from 'one-target one-drug' to highly potent 'multi-target drug'. Despite that, this synergistic approach is currently facing many challenges particularly mining effective information such as drug targets, mechanism of action, and drug and organism interaction from massive, heterogeneous data. To overcome bottlenecks in multi-target drug discovery, computational algorithms are highly welcomed by scientific community. Machine learning (ML) and especially its subfield deep learning (DL) have seen impressive advances. Techniques developed within these fields are now able to analyze and learn from huge amounts of data in disparate formats. In terms of network pharmacology, ML can improve discovery and decision making from big data. Opportunities to apply ML occur in all stages of network pharmacology research. Examples include screening of biologically active small molecules, target identification, metabolic pathways identification, protein-protein interaction network analysis, hub gene analysis and finding binding affinity between compounds and target proteins. This review summarizes the premier algorithmic concepts of ML in network pharmacology and forecasts future opportunities, potential applications as well as several remaining challenges of implementing ML in network pharmacology. To our knowledge, this study provides the first comprehensive assessment of ML approaches in network pharmacology, and we hope that it encourages additional efforts toward the development and acceptance of network pharmacology in the pharmaceutical industry.

In Situ Imaging of Two-Dimensional Crystal Growth Using a Heat-Resistant Optical Microscope.

Revealing low-dimensional material growth dynamics is critical for crystal growth engineering. However, in a practical high-temperature growth system, the crystal growth process is a black box because of the lack of heat-resistant imaging tools. Here, we develop a heat-resistant optical microscope and embed it in a chemical vapor deposition (CVD) system to investigate two-dimensional (2D) crystal growth dynamics. This in situ optical imaging CVD system can tolerate temperatures of ≤900 °C with a spatial resolution of ∼1 µm. The growth of monolayer MoS2 crystals was studied as a model for 2D crystal growth. The nucleation and growth process have been imaged. Model analysis and simulation have revealed the growth rate, diffusion coefficient, and spatial distribution of the precursor. More importantly, a new vertex-kink-ledge model has been suggested for monolayer crystal growth. This work provides a new technique for in situ microscopic imaging at high temperatures and fundamental insight into 2D crystal growth.

Covalent Organic Framework Membranes and Water Treatment.

Covalent organic frameworks (COFs) are an emerging class of highly porous crystalline organic polymers comprised entirely of organic linkers connected by strong covalent bonds. Due to their excellent physicochemical properties (e.g., ordered structure, porosity, and stability), COFs are considered ideal materials for developing state-of-the-art separation membranes. In fact, significant advances have been made in the last six years regarding the fabrication and functionalization of COF membranes. In particular, COFs have been utilized to obtain thin-film, composite, and mixed matrix membranes that could achieve effective rejection (mostly above 80%) of organic dyes and model organic foulants (e.g., humic acid). COF-based membranes, especially those prepared by embedding into polyamide thin-films, obtained adequate rejection of salts in desalination applications. However, the claims of ordered structure and separation mechanisms remain unclear and debatable. In this perspective, we analyze critically the design and exploitation of COFs for membrane fabrication and their performance in water treatment applications. In addition, technological challenges associated with COF properties, fabrication methods, and treatment efficacy are highlighted to redirect future research efforts in realizing highly selective separation membranes for scale-up and industrial applications.

Enhancing chromium resistance and bulb quality in onion (Allium cepa L.) through copper nanoparticles and possible health risk.

Chromium (Cr) is a toxic metal in soil-plant system, hence causing possible health risks prominently in the areas with forgoing industrial activities. Copper nanoparticles (Cu NPs) have been reported as an excellent adsorbent for pollutants. Therefore, this study investigates how copper nanoparticles enhance onion growth while decreasing chromium uptake in onion plants. Additionally, it examines the potential health risks of consuming onion plants with elevated chromium levels. The results demonstrated that the addition of CuNPs at 15 mg kg-1 significantly improved the plant height (48%), leaf length (37%), fresh weight of root (61%), root dry weight (70%), fresh weight of bulb (52%), bulb dry weight (59%), leaves fresh weight (52%) and dry weight of leaves (59%), leaf area (72%), number of onion leaves per plant (60%), Chl. a (42%), chl. b (36%), carotenoids (40%), total chlorophyll (40%), chlorophyll contents SPAD value (56%), relative water contents (35%), membrane stability index (16%), total sugars (25%), crude protein (21%), ascorbic acid (19%) and ash contents (64%) at 10 mg kg-1 Cr. Whereas, maximum decline of Cr by 46% in roots, 68% in leaves and 92% in bulb was found with application of 15 mg kg-1 of Cu NPs in onion plants under 10 mg kg-1 Cr toxicity. The health risk assessment parameters of onion plants showed minimum values 0.0028 for average daily intake (ADI), 0.001911 for Non-cancer risk (NCR), and 0.001433 for cancer risk (CR) in plants treated with Cu NPs at 15 mg kg-1 concentration grown in soil spiked with 10 mg kg-1 chromium. It is concluded that Cu NPs at 15 mg kg-1 concentration improved growth of plants in control as well as Cr contaminated soil. Therefore, use of Cu NPs at 15 mg kg-1 concentration is recommended for improving growth of plants under normal and metal contaminated soils.

Recent Progress of 2D Materials-Based Photodetectors from UV to THz Waves: Principles, Materials, and Applications.

Photodetectors are one of the most critical components for future optoelectronic systems and it undergoes significant advancements to meet the growing demands of diverse applications spanning the spectrum from ultraviolet (UV) to terahertz (THz). 2D materials are very attractive for photodetector applications because of their distinct optical and electrical properties. The atomic-thin structure, high carrier mobility, low van der Waals (vdWs) interaction between layers, relatively narrower bandgap engineered through engineering, and significant absorption coefficient significantly benefit the chip-scale production and integration of 2D materials-based photodetectors. The extremely sensitive detection at ambient temperature with ultra-fast capabilities is made possible with the adaptability of 2D materials. Here, the recent progress of photodetectors based on 2D materials, covering the spectrum from UV to THz is reported. In this report, the interaction of light with 2D materials is first deliberated on in terms of optical physics. Then, various mechanisms on which detectors work, important performance parameters, important and fruitful fabrication methods, fundamental optical properties of 2D materials, various types of 2D materials-based detectors, different strategies to improve performance, and important applications of photodetectors are discussed.

Role of UDP-Glycosyltransferase (ugt) Genes in Detoxification and Glycosylation of 1-Hydroxyphenazine (1-HP) in Caenorhabditis elegans.

Caenorhabditis elegans is a useful model organism to study the xenobiotic detoxification pathways of various natural and synthetic toxins, but the mechanisms of phase II detoxification are understudied. 1-Hydroxyphenazine (1-HP), a toxin produced by the bacterium Pseudomonas aeruginosa, kills C. elegans. We previously showed that C. elegans detoxifies 1-HP by adding one, two, or three glucose molecules in N2 worms. Our current study evaluates the roles that some UDP-glycosyltransferase (ugt) genes play in 1-HP detoxification. We show that ugt-23 and ugt-49 knockout mutants are more sensitive to 1-HP than reference strains N2 or PD1074. Our data also show that ugt-23 knockout mutants produce reduced amounts of the trisaccharide sugars, while the ugt-49 knockout mutants produce reduced amounts of all 1-HP derivatives except for the glucopyranosyl product compared to the reference strains. We characterized the structure of the trisaccharide sugar phenazines made by C. elegans and showed that one of the sugar modifications contains an N-acetylglucosamine (GlcNAc) in place of glucose. This implies broad specificity regarding UGT function and the role of genes other than ogt-1 in adding GlcNAc, at least in small-molecule detoxification.

Bovine Serum Albumin Template-Mediated Fabrication of Ruthenium Dioxide/Multiwalled Carbon Nanotubes: High-Performance Electrochemical Dopamine Biosensing in Human Serum.

The presence of abnormal dopamine (DA) levels may cause serious neurological disorders, therefore, the quantitative analysis of DA and its related research are of great significance for ensuring health. Herein, the bovine serum albumin (BSA) template method has been proposed for the preparation of catalytically high-performance ruthenium dioxide/multiwalled carbon nanotube (RuO2/MWCNT) nanocomposites. The incorporation of MWCNTs has improved the active surface area and conductivity while effectively preventing the aggregation of RuO2 nanoparticles. The outstanding electrocatalytic performance of RuO2/MWCNTs has promoted the electro-oxidation of DA at neutral pH. The electrochemical sensing platform based on RuO2/MWCNTs has demonstrated a wide linear range (0.5 to 111.1 µM), low detection limit (0.167 µM), excellent selectivity, long-term stability, and good reproducibility for DA detection. The satisfactory recovery range of 94.7% to 103% exhibited by the proposed sensing podium in serum samples signifies its potential for analytical applications. The aforementioned results reveal that RuO2/MWCNT nanostructures hold promising aptitude in the electrochemical sensor to detect DA in real samples, further offering broad prospects in clinical and medical diagnosis.

Unveiling genetic variants: Tetra-primer ARMS-PCR diagnosis and structural insights into BLAD, BC, and DUMPS in Pakistani cattle herds.

BACKGROUND: Bovine leukocyte adhesion deficiency (BLAD), bovine citrullinemia (BC), and deficiency of Uridine monophosphate synthetase (DUMPS) are the common autosomal recessive disorders affecting the global dairy industry. BLAD leads to poor wound healing and recurrent infections. In BC, ammonia builds up leading to neurological disorders and death. DUMPS results in developmental abnormalities. METHODOLOGY: In this study, tetra-primer amplification refractory mutation system polymerase chain reaction (ARMS PCR) based diagnostic tests were optimized for BLAD, BC, and DUMPS. A total of 250 animals (58 indigenous and 192 Holstein Friesian (HF)) were screened from all across Pakistan. In addition to validation of ARMS-PCR results through Sanger sequencing, the protein modeling provided structural insights of the disease-associated reported SNPs. Pathway analysis illustrated gene functions under normal and mutated conditions. Furthermore, haplotype and phylogenetic analysis of ASS1 (Argininosuccinate synthetase) gene were performed on study samples and NCBI retrieved sequences. RESULTS: The study's focus was to screen the herds for prevalence of carriers of genetic disorders, as they are the main source of disease dissemination. One animal was found carrier for BC, whereas no carriers were found for BLAD and DUMPS. The protein models corroborated the reported amino acid change in BLAD, and protein truncation in both BC and DUMPS proteins. SNPs found in NCBI retrieved sequences were either silent or missense and had no effect on protein structure. DNA network presented graphical illustration of haplotype interactions and phylogenetic analysis conferred evolutionary landscape of ASS1 gene. The combination of these approaches produced an in-depth genetic picture of BC in Pakistani cattle. CONCLUSION: The development of diagnostic tests and identification of the heterozygous BC sample underscores the significance of constant monitoring to avoid the unwanted dissemination of mutant alleles among Pakistani cattle, thereby promoting the general well-being and sustainability of the dairy sector.

Charting New Territories in Obesity Management- Traditional Techniques to Tirzepatide.

Obesity, a pervasive global health challenge affecting more than two billion people, requires comprehensive interventions. Traditional approaches, including lifestyle modification, and diverse drugs targeting a gastrointestinal hormone, including glucose-dependent insulinotropic polypeptide (GIP) and glucagon-like peptide-1 (GLP-1) (Liraglutide, Semaglutide, Exenatide, Albiglutide, Dulaglutide, Lixisenatide, Orlistat, Phentermine/Topiramate, Lorcaserin, Sibutramine, Rimonabant) offer tailored strategies; yet their effectiveness is limited and some drugs were taken off the market. Moreover, various surgical modalities, such as Roux-en-Y Bypass surgery, sleeve gastrectomy, intragastric balloons, biliopancreatic diversion with duodenal switch (BPD/DS), laparoscopic adjustable gastric band (LAGB), and vagal nerve blockade can be considered but are associated with numerous side effects and require careful monitoring. Consequently, there is a pressing need for novel anti-obesity treatments. In this landscape, tirzepatide, initially designed for type 2 diabetes (T2D) management, emerges as a potential game-changer. Functioning as a dual GIP/GLP-1 receptor agonist, it not only addresses control but also introduces a fresh perspective on weight reduction. This review intricately explores tirzepatide's mechanism, dissecting insights from clinical studies and positioning it as a major force in obesity treatment. In the middle of significant shifts in obesity management, tirzepatide presents itself as a promising and cost-effective intervention. Its Food and Drug Administration (FDA) approval marks a milestone in the realm of obesity therapeutics. Going beyond a recapitulation of findings, the conclusion emphasizes the imperative for ongoing exploration and vigilant safety monitoring in tirzepatide's application.

Assessment of Genomic Diversity and Selective Pressures in Crossbred Dairy Cattle of Pakistan.

Improving the low productivity levels of native cattle breeds in smallholder farming systems is a pressing concern in Pakistan. Crossbreeding high milk-yielding holstein friesian (HF) breed with the adaptability and heat tolerance of Sahiwal cattle has resulted in offspring that are well-suited to local conditions and exhibit improved milk yield. The exploration of how desirable traits in crossbred dairy cattle are selected has not yet been investigated. This study aims to provide the first overview of the selective pressures on the genome of crossbred dairy cattle in Pakistan. A total of eighty-one crossbred, thirty-two HF and twenty-four Sahiwal cattle were genotyped, and additional SNP genotype data for HF and Sahiwal were collected from a public database to equate the sample size in each group. Within-breed selection signatures in crossbreds were investigated using the integrated haplotype score. Crossbreds were also compared to each of their parental breeds to discover between-population signatures of selection using two approaches: cross-population extended haplotype homozygosity and fixation index. We identified several overlapping genes associated with production, immunity, and adaptation traits, including U6, TMEM41B, B4GALT7, 5S_rRNA, RBM27, POU4F3, NSD1, PRELID1, RGS14, SLC34A1, TMED9, B4GALT7, OR2AK3, OR2T16, OR2T60, OR2L3, and CTNNA1. Our results suggest that regions responsible for milk traits have generally experienced stronger selective pressure than others.

Compression-only versus standard cardiopulmonary resuscitation in out-of-hospital cardiac arrest: A meta-analysis of randomized controlled trials.

BACKGROUND: Bystander-initiated cardiopulmonary resuscitation (CPR) can improve survival rates in individuals with out-of-hospital cardiac arrest (OHCA). Two CPR approaches are commonly utilized, standard (S-CPR) with mouth-to-mouth breathing and compression-only (CO-CPR). We conducted a systematic review and meta-analysis to compare clinical outcomes associated with S-CPR versus CO-CPR in OHCA. METHODS: A systematic literature search was conducted using PubMed, EMBASE, and the Cochrane Library. Eligible studies included randomized controlled trials (RCTs) focused on adult OHCA patients receiving CO-CPR or S-CPR. Forest plots were generated for pooled data analysis using Review Manager version 5.4. Random-effect analyses were used, and statistical significance was set at p < .05. RESULTS: Four randomized controlled trials were included in the final analysis, encompassing a total sample size of 4987 patients (2482 in the CO-CPR group and 2505 in the S-CPR group). CO-CPR was associated with significantly improved 1-day survival compared with S-CPR (OR = 1.15; 95% CI: 1.02-1.31; p = .03) and survival to hospital discharge (OR = 1.25; 95% CI: 1.01-1.55; p = .04). No heterogeneity was observed among the studies for either outcome. CONCLUSION: CO-CPR emerges as a promising strategy for improving outcomes in OHCA compared to S-CPR. However, further large-scale RCTs are required to generate more robust evidence.

Current Diagnostic Techniques for Pneumonia: A Scoping Review.

Community-acquired pneumonia is one of the most lethal infectious diseases, especially for infants and the elderly. Given the variety of causative agents, the accurate early detection of pneumonia is an active research area. To the best of our knowledge, scoping reviews on diagnostic techniques for pneumonia are lacking. In this scoping review, three major electronic databases were searched and the resulting research was screened. We categorized these diagnostic techniques into four classes (i.e., lab-based methods, imaging-based techniques, acoustic-based techniques, and physiological-measurement-based techniques) and summarized their recent applications. Major research has been skewed towards imaging-based techniques, especially after COVID-19. Currently, chest X-rays and blood tests are the most common tools in the clinical setting to establish a diagnosis; however, there is a need to look for safe, non-invasive, and more rapid techniques for diagnosis. Recently, some non-invasive techniques based on wearable sensors achieved reasonable diagnostic accuracy that could open a new chapter for future applications. Consequently, further research and technology development are still needed for pneumonia diagnosis using non-invasive physiological parameters to attain a better point of care for pneumonia patients.

Balancing growth and sustainability: COP 28 policy implications of green energy, industrialization, foreign direct investment, and globalization in South Asia.

This research investigates the intricate relationships between economic variables and how they affect South Asian nation's ability to develop sustainably. Given the growing concerns about climate change and global warming brought on by emissions of greenhouse gases, this study looks into the connection between emissions of CO2, green energy, industrialization, foreign direct investment, economic globalization, and financial development from 1995 to 2022. Second-generation panel techniques were employed in this study to look at the relationship between variables because of the potential of residual cross-sectional dependency and heterogeneity. The empirical outcomes display that green energy, economic globalization, and financial development reduce CO2 emissions by 1.839%, 1.223%, and 3.902% respectively. Industrialization and foreign direct investment degrade the environment by 4.302% and 1.893% respectively. A bidirectional causality link between green energy, industrialization, economic globalization, and CO2 emissions was found by Dumitrescu and Hurlin (D-H). Based on our findings, we recommend legislative support for renewable energy, cleaner technologies, and strict environmental regulations, aligning with the Sustainable Development Goals (SDGs). Encouraging FDI, sustainable practices, and financial development can drive economic growth while preserving the environment. As we approach COP28, this holistic approach to sustainable development becomes increasingly vital for South Asian countries to achieve their SDG targets and combat climate change.

Effect of stakeholder pressure on environmental performance: Do virtual CSR, green credit, environmental and social reputation matter?

In today's globalized and interconnected world, businesses operate within an interconnected network with various stakeholders. Among these stakeholders, the pressure from consumers, investors, regulators, and communities for corporations to adopt environmentally responsible practices has intensified significantly. Therefore, this study investigates the relationship between stakeholder pressure and environmental performance (EP) in Pakistan's manufacturing sector while examining the potential moderating roles of environmental reputation, social reputation, virtual CSR, and green credit. Data was gathered by convenience sampling and a cross-sectional research approach. A structural questionnaire was given to 376 employees of manufacturing firms that are listed on the Pakistan Stock Exchange (PSE). The research hypotheses were tested using PLS-SEM techniques, which examined the interactions between these variables. The results reveal that stakeholder pressure significantly influences the environmental performance of manufacturing firms. Environmental reputation and virtual CSR negatively moderate the relationship between stakeholder pressure and EP. Moreover, social reputation and green credit positively moderate the relationship between stakeholder pressure and EP. These results contribute to the existing literature by shedding light on how stakeholder pressure influences firms' environmental behavior. Practical implications include integrating virtual CSR strategies, securing green financing options, and building strong environmental and social reputations to effectively respond to stakeholder demands and improve environmental performance.

Launaea fragilis extract attenuated arthritis in rats through modulation of IL-1ß, TNF-α, IL-6, NF-κB, COX-2, IL-4, and IL-10.

Launaea fragilis (Asso) Pau is a Cholistan desert medicinal plant. Launaea species are used as traditional remedies against various inflammatory conditions. The current research was designed to evaluate the anti-nociceptive, anti-inflammatory, and anti-arthritic potential of ethanolic extract of L. fragilis (Et-LF). The plant extract was prepared by triple maceration. GC-MS screening explored the presence of various bioactive phytoconstituents including n-tetracosanol-1, 1-heptacosanol, and n-hexadecanoic acid. DPPH assay demonstrated the antioxidant potential of Et-LF. Safety profile data indicated that Et-LF was safe up to the oral dose of 5000 mg/kg in female rats. Anti-nociceptive activity of Et-LF was assessed in hot plate method and acetic acid-induced writhing model and the results suggested that Et-LF had significant analgesic effects in both animal models. Carrageenan, histamine, and serotonin-induced edema models were used to estimate the anti-inflammatory effects of Et-LF and were found to prevent paw edema development dose dependently. The anti-arthritic effect of Et-LF was estimated in CFA-induced arthritic rat model. Treatment with Et-LF 125, 250, 500 and flurbiprofen (FP) 10 mg/kg/day significantly attenuated the paw edema, reversed the reduced body weight, and restored the altered hematological parameters in arthritic rats. Gene expression studies revealed the significant downregulation of IL-1ß, TNF-α, IL-6, NF­κB, and COX-2, and upregulation of IL-4 and IL-10 in arthritic rats treated with various doses of plant extract. Histological evaluation of ankle joints showed that Et-LF mitigated pannus formation, infiltration of inflammatory cells, and fibrous connective tissue formation in the diseased rats. Thereof, it may be concluded that the recent study demonstrated the anti-nociceptive, anti-inflammatory, and anti-arthritic effects ascribed to the signifying presence of phytoconstituents in L. fragilis.

Down-regulation of NF-κB signalling by methanolic extract of Viola odorata (L.) attenuated in vivo inflammatory and angiogenic responses.

Intractable inflammation plays a key role in the progression of autoimmune diseases such as rheumatoid arthritis. Oedema and angiogenesis are the hall marks of chronic inflammation. The current study was aimed to investigate the pharmacological effects of the methanolic extract of Viola odorata (Vo.Me) on inflammation induced oedema and angiogenesis, and to identify the active principles and explore the molecular mechanisms thereof. Various models of inflammation were utilized in rats, including carrageenan- and histamine-induced acute oedema, as well as chronic models of Complete Freund's Adjuvant (CFA)-induced arthritis and cotton pellet-induced granuloma. Anti-angiogenic activity was evaluated by CAM assay followed by quantification of phytoconstituents through HPLC. Effect of Vo.Me  treatment on the expression of various mediators (PGE-2 and NO) and genes (IL-1ß, TNF-α, NF-κB, and COX-2) were explored by qPCR and ELISA assays. HPLC analysis showed the presence of quercetin, chlorogenic acid, gallic acid, benzoic acid, m-coumaric acid, p-coumaric acid, synergic acid, caffeic acid, vanillic acid, sinapic acid, and cinnamic acid in Vo.Me. Significant dose-dependent inhibition of rats' paw oedema was observed in the Vo.Me administered groups (p < 0.05) in both acute and chronic inflammatory models. Moreover, at a dosage of 500 mg/kg, Vo.Me exhibited a comparable anti-inflammatory effect to indomethacin (p > 0.05). Additionally, Vo.Me demonstrated a remarkable anti-granulomatous activity. Histopathological findings demonstrated amelioration of inflammation in animal paws which were treated with Vo.Me and indomethacin. CAM assay also displayed significant inhibitory effect of Vo.Me on the blood vasculature growth. Vo.Me treatment also caused relatively less gastric irritation and hepatic damage as compared to indomethacin. At a molecular level, the down-regulation of NF-κB signalling  leading to the decreased activation of pro-inflammatory mediators (such as IL-1ß, TNF-α, and COX-2) and their downstream molecules including prostaglandin E-2 (PGE-2) and nitric oxide (NO), is suggested to be responsible for these diverse anti-inflammatory effects. These findings confirmed the promising anti-inflammatory and anti-angiogenic activities of Vo.Me, which warrant bench-to-bedside translational studies to assess its safety and suitability for clinical usage.

Development of Biocompatible Electrospun PHBV-PLLA Polymeric Bilayer Composite Membranes for Skin Tissue Engineering Applications.

Bilayer electrospun fibers aimed to be used for skin tissue engineering applications were fabricated for enhanced cell attachment and proliferation. Different ratios of PHBV-PLLA (70:30, 80:20, and 90:10 w/w) blends were electrospun on previously formed electrospun PHBV membranes to produce their bilayers. The fabricated electrospun membranes were characterized with FTIR, which conformed to the characteristic peaks assigned for both PHBV and PLLA. The surface morphology was evaluated using SEM analysis that showed random fibers with porous morphology. The fiber diameter and pore size were measured in the range of 0.7 ± 0.1 µm and 1.9 ± 0.2 µm, respectively. The tensile properties of the bilayers were determined using an electrodynamic testing system. Bilayers had higher elongation at break (44.45%) compared to the monolayers (28.41%) and improved ultimate tensile strength (7.940 MPa) compared to the PHBV monolayer (2.450 MPa). In vitro cytotoxicity of each of the scaffolds was determined via culturing MC3T3 (pre-osteoblastic cell line) on the membranes. Proliferation was evaluated using the Alamar Blue assay on days 3, 7, and 14, respectively. SEM images of cells cultured on membranes were taken in addition to bright field imaging to visually show cell attachment. Fluorescent nuclear staining performed with DAPI was imaged with an inverted fluorescent microscope. The fabricated bilayer shows high mechanical strength as well as biocompatibility with good cell proliferation and cell attachment, showing potential for skin substitute applications.

Membrane distillation of wastewater: comparison of model and real organics.

Fouling behaviour in membrane distillation (MD) processes plays a crucial role in determining their widespread acceptability. Most studies have primarily focused on model organic foulants, such as humic acid (HA) and sodium alginate (SA). This study investigates the fouling of a polytetrafluoroethylene membrane in a direct contact MD (DCMD) using model organics (i.e., HA and SA) and real wastewater. The results indicated that the flux decline (5-60%) was only observed during the initial phase of the operation with model organic foulants. In contrast, real wastewater caused a gradual decline in flux throughout the experiment in both the concentrate (40%) and continuous (90%) modes. The study also found significant differences in the fouling layer morphology, composition, and hydrophobicity between the model organic foulants and real wastewater. Fourier transform infrared spectroscopy findings demonstrated that the fouling layer formed by real wastewater varied significantly from model organics, which primarily comprised of protein-like and polysaccharide-like functional groups. Finally, liquid chromatography-organic carbon detection revealed that the fouling layer of the MD membrane with real wastewater was composed of 40.7% hydrophobic and 59.3% hydrophilic organics. This study suggests that model organics may not accurately reflect real wastewater fouling.

DGH-GO: dissecting the genetic heterogeneity of complex diseases using gene ontology.

BACKGROUND: Complex diseases such as neurodevelopmental disorders (NDDs) exhibit multiple etiologies. The multi-etiological nature of complex-diseases emerges from distinct but functionally similar group of genes. Different diseases sharing genes of such groups show related clinical outcomes that further restrict our understanding of disease mechanisms, thus, limiting the applications of personalized medicine approaches to complex genetic disorders. RESULTS: Here, we present an interactive and user-friendly application, called DGH-GO. DGH-GO allows biologists to dissect the genetic heterogeneity of complex diseases by stratifying the putative disease-causing genes into clusters that may contribute to distinct disease outcome development. It can also be used to study the shared etiology of complex-diseases. DGH-GO creates a semantic similarity matrix for the input genes by using Gene Ontology (GO). The resultant matrix can be visualized in 2D plots using different dimension reduction methods (T-SNE, Principal component analysis, umap and Principal coordinate analysis). In the next step, clusters of functionally similar genes are identified from genes functional similarities assessed through GO. This is achieved by employing four different clustering methods (K-means, Hierarchical, Fuzzy and PAM). The user may change the clustering parameters and explore their effect on stratification immediately. DGH-GO was applied to genes disrupted by rare genetic variants in Autism Spectrum Disorder (ASD) patients. The analysis confirmed the multi-etiological nature of ASD by identifying four clusters of genes that were enriched for distinct biological mechanisms and clinical outcome. In the second case study, the analysis of genes shared by different NDDs showed that genes causing multiple disorders tend to aggregate in similar clusters, indicating a possible shared etiology. CONCLUSION: DGH-GO is a user-friendly application that allows biologists to study the multi-etiological nature of complex diseases by dissecting their genetic heterogeneity. In summary, functional similarities, dimension reduction and clustering methods, coupled with interactive visualization and control over analysis allows biologists to explore and analyze their datasets without requiring expert knowledge on these methods. The source code of proposed application is available at https://github.com/Muh-Asif/DGH-GO.

Genetic insights into crossbred dairy cattle of Pakistan: exploring allele frequency, linkage disequilibrium, and effective population size at a genome-wide scale.

Linkage disequilibrium (LD) affects genomic studies accuracy. High-density genotyping platforms identify SNPs across animal genomes, increasing LD evaluation resolution for accurate analysis. This study aimed to evaluate the decay and magnitude of LD in a cohort of 81 crossbred dairy cattle using the GGP_HDv3_C Bead Chip. After quality control, 116,710 Single Nucleotide Polymorphisms (SNPs) across 2520.241 Mb of autosomes were retained. LD extent was assessed between autosomal SNPs within a 10 Mb range using the r2 statistics. LD value declined as inter-marker distance increased. The average r2 value was 0.24 for SNP pairs < 10 kb apart, decreasing to 0.13 for 50-100 kb distances. Minor allele frequency (MAF) and sample size significantly impact LD. Lower MAF thresholds result in smaller r2 values, while higher thresholds show increased r2 values. Additionally, smaller sample sizes exhibit higher average r2 values, especially for larger physical distance intervals (> 50 kb) between SNP pairs. Effective population size and inbreeding coefficient were 150 and 0.028 for the present generation, indicating a decrease in genetic diversity over time. These findings imply that the utilization of high-density SNP panels and customized/breed-specific SNP panels represent a highly favorable approach for conducting genome-wide association studies (GWAS) and implementing genomic selection (GS) in the Bos indicus cattle breeds, whose genomes are still largely unexplored. Furthermore, it is imperative to devise a meticulous breeding strategy tailored to each herd, aiming to enhance desired traits while simultaneously preserving genetic diversity.