The power of real-time PCR

Real-time amplification and high resolution melt analysis on a rapid microfluidic instrument

BACKGROUND

Real-time nucleic acid amplification represents a robust, ubiquitous technology that often requires additional downstream analysis to identify sequence polymorphisms or differentiate specific from non-specific amplification (NSA). For example, common post-amplification analysis methods for the polymerase chain reaction (PCR) include sequencing and electrophoresis, both of which are labor- and time-intensive techniques that require expensive additional reagents and consumables. In contrast, high resolution melt (HRM) analysis presents a simpler alternative that can elucidate sequence differences and distinguish specific from non-specific amplification without requiring separate instrumentation or additional reagents beyond those used for real-time amplification.

RESULTS

We have previously reported a microfluidic real-time amplification system that could complete PCR in 8 minutes with comparable sensitivity to conventional instruments that require 50+ minutes for the same assay. Here, we describe expanding the capability of the system to include post-amplification HRM analysis. Sequence differentiation was demonstrated using PCR to detect epigenetic targets with different methylation percentages. Moreover, isothermal amplification methods that commonly experience NSA due to excessive primer noise, including loop-mediated isothermal amplification (LAMP) and recombinase polymerase amplification (RPA), were coupled with HRM to distinguish true positive results. All microfluidic experiments were completed in parallel on conventional benchtop instrumentation, the results of which were found to be comparable with the microfluidic system consuming a fraction of the total analysis time required on the conventional instrument.

SIGNIFICANCE

With these modifications, the microfluidic platform, which has demonstrated 8 minute PCR, can perform HRM in under 4 minutes following amplification for differentiation of sequences containing mutations and elucidating NSA. We demonstrate enhanced applicability of this microfluidic instrument for point-of-need applications, including clinical diagnostics, where rapid and accurate genomic analysis is paramount.

First report of molecular detection of chicken astrovirus (CAstV) in chicks affected with enteric disease in Ecuador through a fast RT-qPCR assay based on SYBR® Green

BACKGROUND

Chicken meat production has expanded considerably on a global scale due to its ease of production compared to other species. As a result, the prevalence of avian viruses has grown. Chicken astrovirus (CAstV), an RNA virus with roughly 7 kb in length that is disseminated globally and exhibits both horizontal and vertical transmission, is one of the most important enteric pathogenic avian viruses. CAstV and some enteric viruses' infections causes significant economic losses because they are associated with high mortality in chickens. CAstV cause a variety of pathologic changes such as runting and stunning syndrome, nephritis, and white chick syndrome, making early detection critical. For this purpose, the objective of this study was to determine the presence of CAstV in chickens affected with enteric disease through a fast RT-qPCR assay based on SYBR® Green. For this, 120 samples of jejunum from seven-day-old chicks that succumbed to enteric disease characterized by pronounced lethargy, apathy, diarrhea and cloacal pasting were subjected to investigation.

RESULTS

At necropsy, the intestines of all chicks appear pale and filled with yellow or green liquid content, thin wall and presence of gas; at the jejunum it was evidenced the presence of remanent yolk sac. The liver, kidneys, spleen did not show any alteration. CAstV RNA was detected and quantified in 85 samples, revealing significant levels (9.6 × 10^6) of CAstV gene copies. This indicates the presence of the virus in Ecuadorian chicks from a few days of age, suggesting vertical transmission and potential sources for the virus's dissemination. The phylogenetic analysis clustered all Ecuadorian sequences in one group related to sequences from India and Brazil. The comparison identity of NT sequences in part of Orf 1b gene showed 83.27 - 93.5% with other sequences of CAstV from India and Brazil. Additionally, the LoD and LoQ were determined in 101 gene viral copies. The standard curve showed an efficiency of 97.3% and a melting curve showed a single peak without any alterations and a melting temperature of 77.5 °C. The assay was specific for amplification of the CAstV genome and no amplification was shown from other viral genomes (aMPV, NDV, IBV, AReV, ARoV, ANV) or from the negative controls.

CONCLUSIONS

Presents, for the first time, the detection of CAstV in chicks suffering from enteric disease in Ecuador. It also demonstrates that the assay developed herein is an effective tool for the early detection and quantification of CAstV in diseased chickens, while being a reliable, specific, cost-effective, and rapid diagnostic method.

Selection of Sclerodermus pupariae Reference Genes for Quantitative Real-Time PCR

S. pupariae is a newly discovered species of parasitoid wasps. Research into its development, behavioral genetics, and molecular mechanisms provides valuable insights for improving integrated pest management strategies. Quantitative real-time PCR (qRT-PCR) is the most commonly used method for analyzing gene expression. This method requires the identification of stable reference genes to accurately evaluate transcriptional level variations. In this study, eight candidate reference genes (TUB, TBP, RPS18, GAPDH, 18S rRNA, RPL32, Actin, and EF1-α) were identified and evaluated for their suitability as reference genes. Gene expression levels across different developmental stages were analyzed using three software tools, GeNorm, NormFinder, and BestKeeper, and the online tool RefFinder. The overall ranking of reference gene stability was as follows: RPS18 > 18S rRNA > RPL32 > GAPDH > Actin > TUB > TPB > EF1-α. Ultimately, RPS18 was determined to be the most stable reference gene.

Polymerase Chain Reaction: A Toolbox for Molecular Discovery

Polymerase chain reaction (PCR), a revolutionary molecular tool, has transformed genetic studies by facilitating rapid DNA amplification. The PCR process relies on several key components: a DNA template or cDNA, two primers, Taq polymerase, nucleotides, and a buffer. These elements collectively facilitate the amplification process, which comprises three stages: denaturation, annealing, and extension. These stages are repeated in cycles to exponentially amplify the target DNA sequence. Furthermore, the power of PCR lies in its ability to generate exponential copies of target DNA in a remarkably short period. Moreover, various PCR techniques are available, encompassing traditional approaches like quantitative PCR, reverse transcription PCR, and nested PCR, as well as innovative methods such as extreme PCR, inverse PCR, and touchdown PCR. These techniques are extensively utilized in molecular, biological, and medical research laboratories for both research and diagnostic applications. This review explores a comprehensive overview of PCR, covering its history, underlying principles, and diverse applications in diagnostics, research, and drug development.

Evaluation of reference genes for gene expression analysis in Japanese flounder (Paralichthys olivaceus) under temperature stress

BACKGROUND

Quantitative Real-time PCR (qRT-PCR) is a powerful technique to analyze gene expression patterns by measuring the relative abundance of mRNA transcription levels. The most crucial step in obtaining accurate results of qRT-PCR is to select suitable reference genes. Water temperature is an important factor that affects various physiological processes of fish. Presently, Japanese flounder is a commercially important marine culture species and the study of its gene expression is increasing rapidly. However, the reference genes used for Japanese flounder in previous studies, especially under temperature stress, only focused on those well-known genes widely reported in vertebrates, which might not be the proper reference genes.

RESULTS

In this study, we evaluated the suitability of eight genes including ribosomal protein L6 (rpl6), ribosomal protein L9 (rpl9), delta (4)-desaturase, sphingolipid 1 (degs1), cathepsin L (ctsl), eukaryotic translation elongation factor 1 gamma (eef1g), NSA2 ribosome biogenesis homolog (nsa2), eukaryotic translation initiation factor 3, subunit E, a (eif3ea), glutamine amidotransferase class 1 domain containing 1 (gatd1) analyzed from RNA sequencing (RNA-Seq) data and two genes including β-actin (actb) and 18S rRNA ribosomal RNA (18S RNA) selected from literature to obtain the best internal controls in qRT-PCR analysis of Japanese flounder under temperature stress. The statistical analysis methods (delta-Ct, BestKeeper, geNorm, and NormFinder) were further used to determine candidate reference gene stability. Initial results showed the suitability of eight genes from RNA-Seq data, which exhibited more stable expression levels than two commonly reported reference genes. Further analysis revealed that gatd1 and rpl6 were the best reference genes in Japanese flounder exposed to temperature stress.

CONCLUSION

This study transcriptome-wide identified reference genes in different tissues of Japanese flounder exposed to temperature stress for the first time, providing a basis for gene expression research in flatfish.

Protective and Anti-Inflammatory Effect of Novel Formulation Based on High and Low Molecular Weight Hyaluronic Acid and Salvia haenkei

Salvia haenkei (SH-Haenkenium®), a native plant of Bolivia, is known as strong inhibitor of senescence and recently exploited in wound healing and for its potential anti-inflammatory properties. Hyaluronan at high and low molecular weight (HCC), explored in diverse cell models, and recently used in clinical practice, showed beneficial effects in dermo aesthetic and regenerative injective treatments. In this research work a novel formulation based on HCC coupled SH was tested for its potentiality in counteracting dermal injury. In vitro wound healing has been used to demonstrate HCC + SH capacity to improve keratinocytes migration respects the sole HCC, supported also by positive modulation of remodeling and integrity biomarkers. In addition, an in vitro dehydration test showed its ability to defend the skin from dryness. Moreover, an in vitro inflammation model (with lipopolysaccharides derived from E. coli) was used to assess molecular fingerprint of the pathological model and compare the cell response after treatments. Inflammatory biomarkers (e.g., KRT6, TLR-4 and NF-κB) and specific cytokines (e.g., IL-6, IL-22, IL-23) proved the effect of HCC + SH, in reducing inflammatory mediators. A more complex model, 3D-FT skin, was used to better resemble an in vivo condition, and confirmed the efficacy of novel formulations to counteract inflammation. All results trigger the interest in the novel formulation based on SH extract and hyaluronan complexes for its potential efficacy as natural anti-inflammatory agent for damaged skin, for its healing and regenerative properties.

Molecular diagnostics in cerebrospinal fluid for the diagnosis of central nervous system infections

SUMMARYCentral nervous system (CNS) infections can be caused by various pathogens, including bacteria, viruses, fungi, and parasites. Molecular diagnostic methods are pivotal for identifying the different causative pathogens of these infections in clinical settings. The efficacy and specificity of these methods can vary per pathogen involved, and in a substantial part of patients, no pathogen is identified in the cerebrospinal fluid (CSF). Over recent decades, various molecular methodologies have been developed and applied to patients with CNS infections. This review provides an overview of the accuracy of nucleic acid amplification methods in CSF for a diverse range of pathogens, examines the potential value of multiplex PCR panels, and explores the broad-range bacterial and fungal PCR/sequencing panels. In addition, it evaluates innovative molecular approaches to enhance the diagnosis of CNS infections.

Screening and Validation of Stable Reference Genes for qRT-PCR Analysis in Epicauta gorhami (Coleoptera: Meloidae)

Epicauta gorhami is a hypermetamorphic insect that mainly forage soybeans during the adult stage. However, the lack of appropriate references hinders our studying of the gene function in E. gorhami. In this study, referring to five computational tools (Ct value, geNorm, NormFinder, BestKeeper and RefFinder), the stability of 10 housekeeping genes (GAPDH, ACT, RPL4, RPL27, α-TUB, RPS18, EF1α, RPS28, RPL13 and SOD) was assessed by qRT-PCR under three different conditions (adult ages, tissues/organs and temperatures). The findings suggested that SOD and RPS18 were the most ideal references for examine gene transcripts among diverse adult ages and at various temperatures; a pair of RPS18 and RPS28 was the most reliable genes to assess gene expressions in diverse adult tissues. Finally, the relative expression levels of EgUAP were computed after normalization RPS18 and RPS28 with across diverse adult tissues. As expected, EgUAP expression was abundant in the foregut, trachea and antenna and scarce in the midgut, hindgut and epidermis. These findings will lay a solid foundation for analyzing the gene expression of E. gorhami.

Development, Optimization, and Validation of a Quantitative PCR Assay for Borrelia burgdorferi Detection in Tick, Wildlife, and Human Samples

Tick-borne pathogens are growing in importance for human and veterinary research worldwide. We developed, optimized, and validated a reliable quantitative PCR (qPCR; real-time PCR) assay to assess Borrelia burgdorferi infection by targeting two B. burgdorferi genes, ospA and flaB. When assessing previously tested tick samples, its performance surpassed the nested PCR in efficiency, sensitivity, and specificity. Since the detection of Borrelia is more difficult in mammalian samples, the qPCR assay was also assessed using wildlife tissues. For wildlife samples, the sensitivity and specificity of ospA primers, with the incorporation of a pre-amplification step, was equivalent or superior to the nested PCR. For human samples, no primer set was successful with human tissue without culture, but we detected Borrelia with ospA and flaB primers in 50% of the Lyme culture samples, corresponding to 60% of the participants with a Lyme disease diagnosis or suspicion. The specificity of amplification was confirmed by Sanger sequencing. The healthy participant culture samples were negative. This PCR-based direct detection assay performs well for the detection of Borrelia in different biological samples. Advancements in detection methods lead to a better surveillance of Borrelia in vectors and hosts, and, ultimately, enhance human and animal health.

The TWW Growth Model and Its Application in the Analysis of Quantitative Polymerase Chain Reaction

It is necessary to accurately capture the growth trajectory of fluorescence where the best fit, precision, and relative efficiency are essential. Having this in mind, a new family of growth functions called TWW (Tabatabai, Wilus, Wallace) was introduced. This model is capable of accurately analyzing quantitative polymerase chain reaction (qPCR). This new family provides a reproducible quantitation of gene copies and is less labor-intensive than current quantitative methods. A new cycle threshold based on TWW that does not need the assumption of equal reaction efficiency was introduced. The performance of TWW was compared with 3 classical models (Gompertz, logistic, and Richard) using qPCR data. TWW models the relationship between the cycle number and fluorescence intensity, outperforming some state-of-the-art models in performance measures. The 3-parameter TWW model had the best model fit in 68.57% of all cases, followed by the Richard model (28.57%) and the logistic (2.86%). Gompertz had the worst fit in 88.57% of all cases. It had the best precision in 85.71% of all cases followed by Richard (14.29%). For all cases, Gompertz had the worst precision. TWW had the best relative efficiency in 54.29% of all cases, while the logistic model was best in 17.14% of all cases. Richard and Gompertz tied for the best relative efficiency in 14.29% of all cases. The results indicate that TWW is a good competitor when considering model fit, precision, and efficiency. The 3-parameter TWW model has fewer parameters when compared to the Richard model in analyzing qPCR data, which makes it less challenging to reach convergence.

Evaluation of a near-patient SARS-CoV-2 novel rapid diagnostic platform

The goal of this study is to test a novel device and methodology based on the "Pebble" platform and real-time quantitative colorimetric loop-mediated isothermal amplification (qcLAMP) during SARS-CoV-2 detection using crude samples and extracted RNA. The new method employs an inexpensive lightweight device aimed toward rapid point-of-care testing. An extensive evaluation was performed consisting of 1,693 clinical samples across five independent clinical testing centers. Positive colorimetric results were observed within 20 minutes of testing. At a 20-minute time-to-positive cut-off, the specificity is 98.5% with a diagnostic accuracy of 91.9%, compared to qPCR assays. Our findings indicate that the SARS-CoV-2 qcLAMP diagnostic assay in conjunction with the Pebble device is ideal for point-of-care/near-patient testing.IMPORTANCEHere, we describe our analyses and validation of a novel real-time quantitative colorimetric loop-mediated isothermal amplification (qcLAMP) device, available under the name "Pebble" and associated SARS-CoV-2 diagnostic qcLAMP assay for clinical diagnostic use. The analyses were performed in five independent testing sites across Europe using clinical samples from the associated clinical sites and support the use of "pebble" and associated kit in the diagnostic environment.

Assessment of housekeeping genes stability for gene transcription regulation analysis of Spodoptera littoralis (Lepidoptera: Noctuidae) under Spodoptera littoralis nucleopolyhedrovirus viral infection

BACKGROUND

Normalization with respect to stable housekeeping genes is important to facilitate gene transcription regulation research and acquire more accurate quantitative polymerase chain reaction (qPCR) data. In the current study, five candidates housekeeping genes of the cotton leafworm, Spodoptera littoralis encoding for Actin (Actin), elongation factor 1-alpha (EF1α), ribosomal protein S3 (RPS3), ribosomal protein 49 (RP49), and Ubiquitin (Ubi), were evaluated as normalization housekeeping genes under Spodoptera littoralis nucleopolyhedrovirus (SpliNPV) viral infection.

METHODS AND RESULTS

The qPCR results confirmed the expression of all five housekeeping genes in S. littoralis viral infected larvae. The expression profiles of the housekeeping genes showed that the EF1α, Actin, and RP49 had the minimum average Ct values of 18.41 ± 0.66, 18.84 ± 0.90 and 19.01 ± 0.87 in all infected samples, respectively. While RPS3 and Ubi showed the maximum average Ct of 21.61 ± 0.51 and 21.11 ± 0.82, respectively. According to the results of ΔCt and geNorm analysis, EF1α was ranked as the most stable housekeeping gene during infection time-course. While by using BestKeeper, geNorm and NormFinder, the Ubi, RP49, and RPS3 showed the most genes transcription stability. The obtained results were also validated using the Cytochrome c oxidase (COX) gene transcripts in response to SpliNPV infection.

CONCLUSIONS

The results revealed that EF1α and Ubi were the most stable housekeeping genes to be used for normalizing S. littoralis gene transcription regulation under SpliNPV infection. These findings, provide a significant addition for gene transcription regulation studies of S. littoralis upon infection using SpliNPV as a bio-agent.

Kappa Opioid Receptor Activation Induces Epigenetic Silencing of Brain-Derived Neurotropic Factor via HDAC5 in Depression

Treatment-resistant depression (TRD) occurs in almost 50% of the depressed patients. Central kappa opioid receptor (KOR) agonism has been demonstrated to induce depression and anxiety, while KOR antagonism alleviates depression-like symptoms in rodent models and TRD in clinical studies. Previously, we have shown that sustained KOR activation leads to a TRD-like phenotype in mice, and modulation of brain-derived neurotrophic factor (BDNF) expression in the prefrontal cortex (PFC) appears to be one of the molecular determinants of the antidepressant response. In the present study, we observed that sustained KOR activation by a selective agonist, U50488, selectively reduced the levels of Bdnf transcripts II, IV, and Bdnf CDS (protein-coding Exon IX) in the PFC and cultured primary cortical neurons, which was blocked by selective KOR antagonist, norbinaltorphimine. Considering the crucial role of epigenetic pathways in BDNF expression, we further investigated the role of various epigenetic markers in KOR-induced BDNF downregulation in mice. We observed that treatment with U50488 resulted in selective and specific downregulation of acetylation at the ninth lysine residue of the histone H3 protein (H3K9ac) and upregulation of histone deacetylase 5 (HDAC5) expression in the PFC. Further, using anti-H3K9ac and anti-HDAC5 antibodies in the chromatin immune precipitation assay, we detected decreased enrichment of H3K9ac and increased HDAC5 binding at Bdnf II and IV transcripts after U50488 treatment, which were blocked by a selective KOR antagonist, norbinaltorphimine. Further mechanistic studies using HDAC5 selective inhibitor, LMK235, in primary cortical neurons and adeno-associated viral shRNA-mediated HDAC5-knockdown in the PFC of mice demonstrated an essential role of HDAC5 in KOR-mediated reduction of Bdnf expression in the PFC and in depression-like symptoms in mice. These results suggest that KOR engages multiple pathways to induce depression-like symptoms in mice and provide novel insights into the mechanisms by which activation of KOR regulates major depressive disorders.

Evaluation of Reference Gene Stability in Goat Skeletal Muscle Satellite Cells during Proliferation and Differentiation Phases

The process of skeletal muscle development is intricate and involves the regulation of a diverse array of genes. Accurate gene expression profiles are crucial for studying muscle development, making it essential to choose the right reference genes for real-time quantitative PCR (RT-qPCR). In the present study, eight candidate reference genes were identified from our previous transcriptome sequencing analysis of caprine skeletal muscle satellite cells (MuSCs), and two traditional reference genes (ACTB and GAPDH) were assessed. The quantitative levels of the candidate reference genes were determined through the RT-qPCR technique, while the stability of their expression was evaluated utilizing the GeNorm, NormFinder, BestKeeper, and RefFinder programs. Furthermore, the chosen reference genes were utilized for the normalization of the gene expression levels of PCNA and Myf5. It was determined that conventional reference genes, including ACTB and GAPDH, were not appropriate for normalizing target gene expression. Conversely, RPL14 and RPS15A, identified through RNA sequencing analysis, exhibited minimal variability and were identified as the optimal reference genes for normalizing gene expression during the proliferation and differentiation of goat MuSCs. Our research offers a validated panel of optimal reference genes for the detection of differentially expressed genes in goat muscle satellite cells using RT-qPCR.

Evaluation and Validation of Reference Genes for Gene Expression Analysis Using qRT-PCR in the Sugarcane Stem Borer Chilo sacchariphagus (Lepidoptera: Pyralidae)

Chilo sacchariphagus (Lepidoptera: Pyralidae) is an economically important sugarcane pest. Although numerous studies were conducted on the physiological responses in C. sacchariphagus, little is known regarding the genes regulating these physiological processes. Gene expression analysis by qRT-PCR can offer a significant indication for functional gene studies. To our knowledge, the reference genes of C. sacchariphagus have not been screened or evaluated, which hinders the functional gene study. In the present study, the stability of seven reference genes (β-ACT, GAPDH, BTF3, 28S, RPL7, EF1α, and SDHA) was evaluated in C. sacchariphagus under different experimental conditions, including tissues (antenna, head, thorax, abdomen, leg, and wing), temperatures (4 °C, 25 °C, and 37 °C) and sexes (male and female), through RefFinder, which integrates four algorithms (Normfinder, BestKeeper, ΔCt method, and geNorm). The findings suggested that the combination of β-ACT and RPL7 is ideal to analyze gene expressions in different tissues and at distinct temperatures, and EF1α and SDHA were suitable reference genes for comparing gene expressions between sexes. Finally, the expression profiles of CsacPBP1 gene were evaluated, and the outcomes further confirm the importance of selecting fitting reference genes for normalization of qRT-PCR data. This study represents the first kind in screening out suitable reference genes for gene expression analysis in C. sacchariphagus. Information from this study is poised to galvanize future inquiry into the gene expression of C. sacchariphagus, an economically important pest of sugarcane.

A narrative review of wastewater surveillance: pathogens of concern, applications, detection methods, and challenges

Introduction

The emergence and resurgence of pathogens have led to significant global health challenges. Wastewater surveillance has historically been used to track water-borne or fecal-orally transmitted pathogens, providing a sensitive means of monitoring pathogens within a community. This technique offers a comprehensive, real-time, and cost-effective approach to disease surveillance, especially for diseases that are difficult to monitor through individual clinical screenings.

Methods

This narrative review examines the current state of knowledge on wastewater surveillance, emphasizing important findings and techniques used to detect potential pathogens from wastewater. It includes a review of literature on the detection methods, the pathogens of concern, and the challenges faced in the surveillance process.

Results

Wastewater surveillance has proven to be a powerful tool for early warning and timely intervention of infectious diseases. It can detect pathogens shed by asymptomatic and pre-symptomatic individuals, providing an accurate population-level view of disease transmission. The review highlights the applications of wastewater surveillance in tracking key pathogens of concern, such as gastrointestinal pathogens, respiratory pathogens, and viruses like SARS-CoV-2.

Discussion

The review discusses the benefits of wastewater surveillance in public health, particularly its role in enhancing existing systems for infectious disease surveillance. It also addresses the challenges faced, such as the need for improved detection methods and the management of antimicrobial resistance. The potential for wastewater surveillance to inform public health mitigation strategies and outbreak response protocols is emphasized.

Conclusion

Wastewater surveillance is a valuable tool in the fight against infectious diseases. It offers a unique perspective on the spread and evolution of pathogens, aiding in the prevention and control of disease epidemics. This review underscores the importance of continued research and development in this field to overcome current challenges and maximize the potential of wastewater surveillance in public health.

Comprehensive Biosafety Profile of Carbomer-Based Hydrogel Formulations Incorporating Phosphorus Derivatives

Determining the safety of a newly developed experimental product is a crucial condition for its medical use, especially for clinical trials. In this regard, four hydrogel-type formulations were manufactured, all of which were based on carbomer (Blank-CP940) and encapsulated with caffeine (CAF-CP940), phosphorus derivatives (phenyl phosphinic (CAF-S1-CP940) and 2-carboxyethyl phenyl phosphinic acids (CAF-S2-CP940)). The main aim of this research was to provide a comprehensive outline of the biosafety profile of the above-mentioned hydrogels. The complex in vitro screening (cell viability, cytotoxicity, morphological changes in response to exposure, and changes in nuclei morphology) on two types of healthy skin cell lines (HaCaT-human keratinocytes and JB6 Cl 41-5a-murine epidermal cells) exhibited a good biosafety profile when both cell lines were treated for 24 h with 150 μg/mL of each hydrogel. A comprehensive analysis of the hydrogel's impact on the genetic profile of HaCaT cells sustains the in vitro experiments. The biosafety profile was completed with the in vivo and in ovo assays. The outcome revealed that the developed hydrogels exerted good biocompatibility after topical application on BALB/c nude mice's skin. It also revealed a lack of toxicity after exposure to the hen's chicken embryo. Further investigations are needed, regarding the in vitro and in vivo therapeutic efficacy and safety for long-term use and potential clinical translatability.

Screening of Reference Genes for Quantitative Real-Time PCR Analysis in Tissues and during Testis Development, and Application to Analyze the Expression of kifc1 in Hemibarbus labeo (Teleostei, Cypriniformes, Cyprinidae)

The selection of proper reference genes is vital for ensuring precise quantitative real-time PCR (qPCR) assays. This study evaluates the stability of the expression of nine candidate reference genes in different tissues and during testicular development in H. labeo. The results show that eef1a is recommended as a reference gene for qPCR analysis in tissues and during testicular development. Furthermore, we evaluated the optimal number of reference genes needed when calculating gene expression levels using the geomean method, revealing that two reference genes are sufficient. Specifically, eef1a and rps27 are recommended for analysis of gene expression in tissues, whereas eef1a and actb are advised for evaluating gene expression during testicular development. In addition, we examined the expression pattern of kifc1, a kinesin involved in the reshaping of spermatids. We detected peak expression levels of kifc1 in testes, with its expression initially increasing before decreasing throughout testicular development. The highest expression of kifc1 was observed in stage IV testes, the active period of spermiogenesis, suggesting a possible role for kifc1 in the regulation of the reshaping of spermatids and hence testicular development. This study represents the first investigation of reference genes for H. labeo, providing a foundation for studying gene expression patterns and investigating gene expression regulation during testicular development.

Evaluation of Multiple RNA Extraction Protocols for Chikungunya Virus Screening in Aedes aegypti Mosquitoes

Chikungunya virus (Togaviridae, Alphavirus; CHIKV) is a mosquito-borne global health threat. The main urban vector of CHIKV is the Aedes aegypti mosquito, which is found throughout Brazil. Therefore, it is important to carry out laboratory tests to assist in the virus's diagnosis and surveillance. Most molecular biology methodologies use nucleic acid extraction as the first step and require quality RNA for their execution. In this context, four RNA extraction protocols were evaluated in Ae. aegypti experimentally infected with CHIKV. Six pools were tested in triplicates (n = 18), each containing 1, 5, 10, 20, 30, or 40 mosquitoes per pool (72 tests). Four commercial kits were compared: QIAamp®, Maxwell®, PureLink®, and PureLink® with TRIzol®. The QIAamp® and PureLink® with TRIzol® kits had greater sensitivity. Two negative correlations were observed: as the number of mosquitoes per pool increases, the Ct value decreases, with a higher viral load. Significant differences were found when comparing the purity and concentration of RNA. The QIAamp® protocol performed better when it came to lower Ct values and higher RNA purity and concentration. These results may provide help in CHIKV entomovirological surveillance planning.

Evaluation of reference genes for quantitative expression analysis in Mylabris sibirica (Coleoptera, Meloidae)

Mylabris sibirica is a hypermetamorphic insect whose adults feed on oilseed rape. However, due to a shortage of effective and appropriate endogenous references, studies on molecular functional genes in Mylabris sibirica, have been tremendously limited. In this study, ten internal reference genes (ACT, ARF1, AK, EF1α, GAPDH, α-TUB, RPL6, RPL13, RPS3 and RPS18) were tested and assessed under four selected treatments including adult ages, adult tissues, temperatures, and sex by RT-qPCR based on five methods (Ct value, geNorm, NormFinder, BestKeeper and RefFinder). Our findings showed that RPL6 and RPL13 were the most optimal internal reference gene combination for gene expression during various adult ages and under diverse temperatures; The combination of RPL6 and RPS18 was recommended to test gene transcription levels under different adult tissues. AK and RPL6 were the best reference genes in male and female adults. RPL6 and RPL13 were the most appropriate reference gene pair to estimate gene expression levels under four different tested backgrounds. The relative transcript levels of a uridine diphosphate (UDP)-N-acetylglucosamine-pyrophosphorylase (MsUAP), varied greatly according to normalization with the two most- and least-suited reference genes. This study will lay the basis for further molecular physiology and biochemistry studies in M. sibirica, such as development, reproduction, sex differentiation, cold and heat resistance.

Reference genes for qPCR expression in black tiger shrimp, Penaeus monodon

BACKGROUND

Gene expression profiling via qPCR is an essential tool for unraveling the intricate molecular mechanisms underlying growth and development. Identifying and validating the most appropriate reference genes is essential for qPCR experiments. Nevertheless, there exists a deficiency in a thorough assessment of reference genes concerning the expression of the genes in the research in the context of the growth and development of the Black Tiger Shrimp, P. monodon. This popular marine crustacean is extensively raised for human consumption. In this study, we assessed the expression stability of seven reference genes (ACTB, 18S, EF-1α, AK, PK, cox1, and CLTC) in adult tissues (hepatopancreas, gills, and stomach) of small and large polymorphs of P. monodon.

METHODS AND RESULTS

The stability of gene expressions was assessed utilizing NormFinder, BestKeeper, and geNorm, and a comprehensive ranking of these genes was conducted through the online tool RefFinder. In the overall ranking, 18S and CLTC emerged as the most stable genes in the hepatopancreas and stomach, while CLTC and AK exhibited significant statistical reliability in the gills of adult P. monodon. The validation of these identified stable genes was carried out using a growth-associated gene, insr-1.

CONCLUSION

The results indicated that 18S and CLTC stand out as the most versatile reference genes for conducting qPCR analysis focused on the growth of P. monodon. This study represents the first comprehensive exploration that identifies and assesses reference genes for qPCR analysis in P. monodon, providing valuable tools for research involving similar crustaceans.

Environmental enrichment changes the effects of prenatal and postnatal undernutrition on memory, anxiety traits, Bdnf and TrkB expression in the hippocampus of male adult rats

Environmental factors such as undernutrition and environmental enrichment can promote changes in the molecular and behavioural mechanisms related to cognition. Herein, we investigated the effect of enriched environment stimulation in rats that were malnourished in the pre- and postnatal periods on changes in the gene expression of brain-derived neurotrophic factor and its receptor in the hippocampus, as well as on anxiety traits and memory. Early undernutrition promoted weight reduction, increased the risk analysis, reduced permanence in the open arm of the elevated plus-maze and induced a reduction in the gene expression of brain-derived neurotrophic factor and tropomyosin receptor kinase B. However, exposure to an enriched environment from 30 to 90 days' old maintained the malnourished phenotype, leading to weight reduction in the control group. In addition, the enriched environment did not alter the risk assessment in the undernourished group, but it did increase the frequency of labyrinth entries. Sixty-day exposure to the enriched environment resulted in a reversal in the gene expression of brain-derived neurotrophic factor and tropomyosin receptor kinase B in the hippocampus of malnourished rats and favoured of long-term memory in the object recognition test in the open-field. These results suggest that an enriched environment may have a protective effect in adult life by inducing changes in long-term memory and anxiety traits in animals that were undernourished in early life. Furthermore, reversing these effects of undernutrition involves mechanisms linked to the molecular signalling of brain-derived neurotrophic factor and tropomyosin receptor kinase B in the hippocampus.

Validation of Endogenous Control Genes by Real-Time Quantitative Reverse Transcriptase Polymerase Chain Reaction for Acute Leukemia Gene Expression Studies

Reference genes are used as internal reaction controls for gene expression analysis, and for this reason, they are considered reliable and must meet several important criteria. In view of the absence of studies regarding the best reference gene for the analysis of acute leukemia patients, a panel of genes commonly used as endogenous controls was selected from the literature for stability analysis: Glyceraldehyde-3-phosphate dehydrogenase (GAPDH), Abelson murine leukemia viral oncogene human homolog 1 (ABL), Hypoxanthine phosphoribosyl-transferase 1 (HPRT1), Ribosomal protein lateral stalk subunit P0 (RPLP0), β-actin (ACTB) and TATA box binding protein (TBP). The stability of candidate reference genes was analyzed according to three statistical methods of assessment, namely, NormFinder, GeNorm and R software (version 4.0.3). From this study's analysis, it was possible to identify that the endogenous set composed of ACTB, ABL, TBP and RPLP0 demonstrated good performances and stable expressions between the analyzed groups. In addition to that, the GAPDH and HPRT genes could not be classified as good reference genes, considering that they presented a high standard deviation and great variability between groups, indicating low stability. Given these findings, this study suggests the main endogenous gene set for use as a control/reference for the gene expression in peripheral blood and bone marrow samples from patients with acute leukemias is composed of the ACTB, ABL, TBP and RPLP0 genes. Researchers may choose two to three of these housekeeping genes to perform data normalization.

Detection and Characterization of Apoptosis-Related Proteins in Hippocampal Neurodegeneration: From mRNA Expression to Protein Quantification

The involvement of apoptosis in neurodegeneration can be detected by quantifying the apoptotic proteins in hippocampal lysate. Apoptosis can occur due to the overproduction of apoptotic proteins under the influence of external trigger or due to the overexpression of the apoptotic genes. Thus, the imbalance in the production of apoptotic proteins can be quantified using the Western blotting technique and the overexpression of apoptotic genes in hippocampal DNA can be quantified using the real-time quantification of mRNA expression of the apoptotic proteins. Here we provide the methodology of detecting the apoptosis-related proteins like Bax and Bcl-2 and their mRNA expression in hippocampal neurodegeneration. In this chapter, we have described the methodology for quantification of mRNA expression of these apoptosis-related proteins in the hippocampal lysate using the real-time quantitative polymerase chain reaction (qPCR) technique and the methodology of detection and characterization of respective protein expression in the hippocampal lysate using the Western blotting technique.

Absolute and Relative Quantification of Single-Stranded Positive-Sense RNA Viruses from Plant Tissue

Reverse transcription quantitative PCR (RT-qPCR) allows sensitive and specific measurement of mRNA transcripts from a given sample in a short period of time. Relative and absolute RT-qPCR are two strategies that could be used to quantify mRNA transcripts, based on the goal of the experiment. Here, we describe the protocol for the quantification of plant viral RNA transcripts from an infected sample using both strategies.

Demystifying PCR tests, challenges, alternatives, and future: A quick review focusing on COVID and fungal infections

The polymerase chain reaction (PCR) technique is one of the most potent tools in molecular biology. It is extensively used for various applications ranging from medical diagnostics to forensic science and food quality testing. This technique has facilitated to survive COVID-19 pandemic by identifying the virus-infected individuals effortlessly and effectively. This review explores the principles, recent advancements, challenges, and alternatives of PCR technique in the context of COVID-19 and fungal infections. The introduction of PCR technique for anyone new to this field is the primary aim of this review and thereby equips them to understand the science of COVID-19 and related fungal infections in a simplistic manner.

Identification of sex-linked SNP markers in wild populations of monomorphic birds

Single-nucleotide polymorphism (SNP) analysis is a powerful tool for population genetics, pedigree reconstruction and phenotypic trait mapping. However, the untapped potential of SNP markers to discriminate the sex of individuals in species with reduced sexual dimorphism or of individuals during immature stages remains a largely unexplored avenue. Here, we developed a novel protocol for molecular sexing of birds based on the detection of unique Z- and W-linked SNP markers. Our method is based on the identification of two unique loci, one in each sexual chromosome. Individuals are considered males when they show no calls for the W-linked SNP and are heterozygous or homozygous for the Z-linked SNP, while females exhibit both Z- and W-linked SNP calls. We validated the method in the Jackdaw (Corvus monedula). The reduced sexual dimorphism in this species makes it difficult to identify the sex of individuals in the wild. We assessed the reliability of the method using 36 individuals of known sex and found that their sex was correctly assigned in 100% of cases. The sex-linked markers also proved to be widely applicable for discriminating males and females from a sample of 927 genotyped individuals at different maturity stages, with an accuracy of 99.5%. Since SNP markers are increasingly used in quantitative genetic analyses of wild populations, the approach we propose has great potential to be integrated into broader genetic research programmes without the need for additional sexing techniques.

Deep Domain Adaptation Enhances Amplification Curve Analysis for Single-Channel Multiplexing in Real-Time PCR

Data-driven approaches for molecular diagnostics are emerging as an alternative to perform an accurate and inexpensive multi-pathogen detection. A novel technique called Amplification Curve Analysis (ACA) has been recently developed by coupling machine learning and real-time Polymerase Chain Reaction (qPCR) to enable the simultaneous detection of multiple targets in a single reaction well. However, target classification purely relying on the amplification curve shapes faces several challenges, such as distribution discrepancies between different data sources (i.e., training vs testing). Optimisation of computational models is required to achieve higher performance of ACA classification in multiplex qPCR through the reduction of those discrepancies. Here, we proposed a novel transformer-based conditional domain adversarial network (T-CDAN) to eliminate data distribution differences between the source domain (synthetic DNA data) and the target domain (clinical isolate data). The labelled training data from the source domain and unlabelled testing data from the target domain are fed into the T-CDAN, which learns both domains' information simultaneously. After mapping the inputs into a domain-irrelevant space, T-CDAN removes the feature distribution differences and provides a clearer decision boundary for the classifier, resulting in a more accurate pathogen identification. Evaluation of 198 clinical isolates containing three types of carbapenem-resistant genes (blaNDM, blaIMP and blaOXA-48) illustrates a curve-level accuracy of 93.1% and a sample-level accuracy of 97.0% using T-CDAN, showing an accuracy improvement of 20.9% and 4.9% respectively. This research emphasises the importance of deep domain adaptation to enable high-level multiplexing in a single qPCR reaction, providing a solid approach to extend qPCR instruments' capabilities in real-world clinical applications.

Selection and validation of reference genes for RT-qPCR normalization of porcine alveolar macrophages (PAMs) for PRRSV studies

Porcine alveolar macrophages (PAMs) are widely used for in vitro studies of porcine respiratory viruses. Gene expression in these cells is altered by viral infection and cellular immune response. Real-time reverse transcription polymerase chain reaction (RT-qPCR) is a powerful technique for analyzing these changes. In order to obtain reliable quantitative RT-qPCR data and come to sound conclusions, stable reference genes are needed for normalization of target gene expression. In the present study, we evaluated the expression stability of nine reference genes in PAMs during cultivation and upon porcine reproductive and respiratory syndrome virus (PRRSV) inoculation. Using geNorm and NormFinder algorithms, we identified PSAP and GAPDH as the most stable reference genes under all experimental conditions. The selected reference genes were used for the normalization of CD163 expression under different conditions. This study demonstrates that selection of appropriate reference genes is essential for normalization and validation of RT-qPCR data across all experimental conditions. This study provides a new set of stable reference genes for future studies with porcine respiratory viruses in PAMs.

Screening of Suitable Reference Genes for Immune Gene Expression Analysis Stimulated by Vibrio anguillarum and Copper Ions in Chinese Mitten Crab (Eriocheir sinensis)

The reference gene expression is not always stable under different experimental conditions, and screening of suitable reference genes is a prerequisite in quantitative real-time polymerase chain reaction (qRT-PCR). In this study, we investigated gene selection, and the most stable reference gene for the Chinese mitten crab (Eriocheir sinensis) was screened under the stimulation of Vibrio anguillarum and copper ions, respectively. Ten candidate reference genes were selected, including arginine kinase (AK), ubiquitin-conjugating enzyme E2b (UBE), glutathione S-transferase (GST), glyceraldehyde-3-phosphate dehydrogenase (GAPDH), elongation factor 1α (EF-1α), α-tubulin (α-TUB), heat shock protein 90 (HSP90), β-actin (β-ACTIN), elongation factor 2 (EF-2) and phosphoglucomutase 2 (PGM2). Expression levels of these reference genes were detected under the stimulation of V. anguillarum at different times (0 h, 6 h, 12 h, 24 h, 48 h and 72 h) and copper ions in different concentrations (11.08 mg/L, 2.77 mg/L, 0.69 mg/L and 0.17 mg/L). Four types of analytical software, namely geNorm, BestKeeper, NormFinder and Ref-Finder, were applied to evaluate the reference gene stability. The results showed that the stability of the 10 candidate reference genes was in the following order: AK > EF-1α > α-TUB > GAPDH > UBE > β-ACTIN > EF-2 > PGM2 > GST > HSP90 under V. anguillarum stimulation. It was GAPDH > β-ACTIN > α-TUB > PGM2 > EF-1α > EF-2 > AK > GST > UBE > HSP90 under copper ion stimulation. The expression of E. sinensis Peroxiredoxin4 (EsPrx4) was detected when the most stable and least stable internal reference genes were selected, respectively. The results showed that reference genes with different stability had great influence on the accurate results of the target gene expression. In the Chinese mitten crab (E. sinensis), AK and EF-1α were the most suitable reference genes under the stimulation of V. anguillarum. Under the stimulation of copper ions, GAPDH and β-ACTIN were the most suitable reference genes. This study provided important information for further research on immune genes in V. anguillarum or copper ion stimulation.

Identification and Validation of Reference Genes for Expression Analysis Using RT-qPCR in Leptocybe invasa Fisher and La Salle (Hymenoptera: Eulophidae)

Leptocybe invasa (Hymenoptera: Eulophidae) is a globally intrusive pest. Despite extensive research into the physiological responses of this pest, our understanding of the molecular mechanisms still needs to be improved. We want to accurately investigate the expression of L. invasa's target genes, so it is imperative to select fitting reference genes. In this study, eight housekeeping genes' stability (RPS30, ACTR, 18S rRNA, ACT, RPL18, GAPDH, 28S rRNA, and TUB) was tested under five different experimental conditions, including male or female adults, somites (head, thorax, and abdomen), temperatures (0 °C, 25 °C, and 40 °C), diets (starvation, clear water, 10% honey water, Eucalyptus sap), and pesticides (acetone was used as a control, imidacloprid, monosultap). Gene stability was calculated using RefFinder, which integrates four algorithms (the ∆Ct method, geNorm, NormFinder, and BestKeeper). The findings implied that ACT and ACTR were the most accurate when comparing sexes. For analyzing different somites, 28S rRNA and RPL18 were ideal; the 28S rRNA and RRS30 were perfect for analyzing at different temperatures. The combination of ACT and GAPDH helped to analyze gene expression in different diets, and GAPDH and 28S rRNA were suitable for various pesticide conditions. Overall, this research offers a complete list of reference genes from L. invasa for precise analysis of target gene expression, which can improve the trustworthiness of RT-qPCR and lay the foundation for further investigations into the gene function of this pest.

Trends in Molecular Diagnosis of Nosocomial Pneumonia Classic PCR vs. Point-of-Care PCR: A Narrative Review

Nosocomial pneumonia is one of the most frequent hospital-acquired infections. One of the types of nosocomial pneumonia is ventilator-associated pneumonia, which occurs in endotracheally intubated patients in intensive care units (ICU). Ventilator-associated pneumonia may be caused by multidrug-resistant pathogens, which increase the risk of complications due to the difficulty in treating them. Pneumonia is a respiratory disease that requires targeted antimicrobial treatment initiated as early as possible to have a good outcome. For the therapy to be as specific and started sooner, diagnostic methods have evolved rapidly, becoming quicker and simpler to perform. Polymerase chain reaction (PCR) is a rapid diagnostic technique with numerous advantages compared to classic plate culture-based techniques. Researchers continue to improve diagnostic methods; thus, the newest types of PCR can be performed at the bedside, in the ICU, so-called point of care testing-PCR (POC-PCR). The purpose of this review is to highlight the benefits and drawbacks of PCR-based techniques in managing nosocomial pneumonia.

Development and Validation of a Duplex RT-qPCR for Detection of Peach Latent Mosaic Viroid and Comparison of Different Nucleic-Acid-Extraction Protocols

Peach latent mosaic viroid (PLMVd) is an important pathogen that causes disease in peaches. Control of this viroid remains problematic because most PLMVd variants are symptomless, and although there are many detection tests in use, the reliability of PCR-based methods is compromised by the complex, branched secondary RNA structure of the viroid and its genetic diversity. In this study, a duplex RT-qPCR method was developed and validated against two previously published single RT-qPCRs, which were potentially able to detect all known PLMVd variants when used in tandem. In addition, in order to simplify the sample preparation, rapid-extraction protocols based on the use of crude sap or tissue printing were compared with commercially available RNA purification kits. The performance of the new procedure was evaluated in a test performance study involving five participant laboratories. The new method, in combination with rapid-sample-preparation approaches, was demonstrated to be feasible and reliable, with the advantage of detecting all different PLMVd isolates/variants assayed in a single reaction, reducing costs for routine diagnosis.

A Silicon-Based PDMS-PEG Copolymer Microfluidic Chip for Real-Time Polymerase Chain Reaction Diagnosis

Polydimethylsiloxane (PDMS) has been widely used to make lab-on-a-chip devices, such as reactors and sensors, for biological research. Real-time nucleic acid testing is one of the main applications of PDMS microfluidic chips due to their high biocompatibility and transparency. However, the inherent hydrophobicity and excessive gas permeability of PDMS hinder its applications in many fields. This study developed a silicon-based polydimethylsiloxane-polyethylene-glycol (PDMS-PEG) copolymer microfluidic chip, the PDMS-PEG copolymer silicon chip (PPc-Si chip), for biomolecular diagnosis. By adjusting the modifier formula for PDMS, the hydrophilic switch occurred within 15 s after contact with water, resulting in only a 0.8% reduction in transmittance after modification. In addition, we evaluated the transmittance at a wide range of wavelengths from 200 nm to 1000 nm to provide a reference for its optical property study and application in optical-related devices. The improved hydrophilicity was achieved by introducing a large number of hydroxyl groups, which also resulted in excellent bonding strength of PPc-Si chips. The bonding condition was easy to achieve and time-saving. Real-time PCR tests were successfully conducted with higher efficiency and lower non-specific absorption. This chip has a high potential for a wide range of applications in point-of-care tests (POCT) and rapid disease diagnosis.

Effect of Different Anticoagulant Agents on Immune-Related Genes in Leukocytes Isolated from the Whole-Blood of Holstein Cows

Anticoagulants, such as ethylenediaminetetraacetic acid (EDTA), sodium citrate (Na-citrate), or heparin are normally used in hematological clinical tests to prevent coagulation. Although anticoagulants are fundamental for the correct application of clinical tests, they produce adverse effects in different fields, such as those involving specific molecular techniques; for instance, quantitative real time polymerase chain reactions (qPCR) and gene expression evaluation. For this reason, the aim of this study was to evaluate the expression of 14 genes in leukocytes that were isolated from the blood of Holstein cows, and which were collected in Li-heparin, K-EDTA, or Na-citrate tubes; then, they were analyzed using qPCR. Only the SDHA gene showed a significant dependence (p ≤ 0.05) on the anticoagulant that was used with the lowest expression; this was observed in Na-Citrate after being compared with Li-heparin and K-EDTA (p < 0.05). Although a variation in transcript abundance with the three anticoagulants was observed in almost all the investigated genes, the relative abundance levels were not statistically significant. In conclusion, the qPCR results were not influenced by the presence of the anticoagulant; thus, we had the opportunity to choose the test tube that was used in the experiment without interfering effects impacting the gene expression levels caused by the anticoagulant.

RNA cytometry of single-cells using semi-permeable microcapsules

Analytical tools for gene expression profiling of individual cells are critical for studying complex biological systems. However, the techniques enabling rapid measurements of gene expression on thousands of single-cells are lacking. Here, we report a high-throughput RNA cytometry for digital profiling of single-cells isolated in liquid droplets enveloped by a thin semi-permeable membrane (microcapsules). Due to the selective permeability of the membrane, the desirable enzymes and reagents can be loaded, or replaced, in the microcapsule at any given step by simply changing the reaction buffer in which the microcapsules are dispersed. Therefore, complex molecular biology workflows can be readily adapted to conduct nucleic acid analysis on encapsulated mammalian cells, or other biological species. The microcapsules support sequential multi-step enzymatic reactions and remain intact under different biochemical conditions, freezing, thawing, and thermocycling. Combining microcapsules with conventional FACS provides a high-throughput approach for conducting RNA cytometry of individual cells based on their digital gene expression signature.

Construction of Very Low-Cost Loop Polymerase Chain Reaction System Based on Proportional-Integral-Derivative Temperature Control Optimization Algorithm and Its Application in Gene Detection

Real-time polymerase chain reaction (PCR) technology is essential in nucleic acid detection and point-of-care testing (POCT). However, nowadays, the classical qPCR instrument has the deficiency of its bulky volume, high cost, and inconvenience to use; hence, a low-cost and easy-to-use PCR equipment was thus developed consisting of a hardware subsystem as well as a software subsystem based on an improved proportional-integral-derivative (PID) system. The proposed system not only could hold self-setting reaction cycles of temperature rising and falling automatically but also the temperature during the constant temperature stage was regulated steady based on improved temperature control algorithm, which proved its great effect compared with the reaction temperature derived from an infrared thermal imaging camera. The experimental results in gene detection research also could indicate its applicability and stability of our developed PCR system by using the amplification curve analysis, the melting curve analysis, and agarose gel electrophoresis analysis compared with the commercial PCR instrument, which illustrates the great potential application value of the proposed PCR system.

Improvement of the signal to noise ratio for fluorescent imaging in microfluidic chips

Microfluidics systems can be fabricated in various ways using original silicon glass systems, with easy Si processing and surface modifications for subsequent applications such as cell seeding and their study. Fluorescent imaging of cells became a standard technique for the investigation of cell behavior. Unfortunately, high sensitivity fluorescent imaging, e.g., using total internal reflection fluorescence (TIRF) microscopy, is problematic in these microfluidic systems because the uneven surfaces of the silicon channels' bottoms affect light penetration through the optical filters. In this work, we study the nature of the phenomenon, finding that the problem can be rectified by using a silicon-on-insulator (SOI) substrate, defining the channel depth by the thickness of the top Si layer, and halting the etching at the buried SiO₂ layer. Then the fluorescent background signal drops by = 5 times, corresponding to the limit of detection drop from = 0.05 mM to = 50 nM of fluorescein. We demonstrate the importance of a flat surface using TIRF-based single-molecule detection, improving the signal to a noise ratio more than 18 times compared to a conventional Si wafer. Overall, using very high-quality SOI substrates pays off, as it improves the fluorescence image quality due to the increase in signal-to-noise ratio. Concerning the cost of microfluidic device fabrication-design, mask fabrication, wafer processing, and device testing-the initial SOI wafer cost is marginal, and using it improves the system performance.

Compact Camera Fluorescence Detector for Parallel-Light Lens-Based Real-Time PCR System

The polymerase chain reaction is an important technique in biological research. However, it is time consuming and has a number of disadvantages. Therefore, real-time PCR technology that can be used in real-time monitoring has emerged, and many studies are being conducted regarding its use. Real-time PCR requires many optical components and imaging devices such as expensive, high-performance cameras. Therefore, its cost and assembly process are limitations to its use. Currently, due to the development of smart camera devices, small, inexpensive cameras and various lenses are being developed. In this paper, we present a Compact Camera Fluorescence Detector for use in parallel-light lens-based real-time PCR devices. The proposed system has a simple optical structure, the system cost can be reduced, and the size can be miniaturized. This system only incorporates Fresnel lenses without additional optics in order for the same field of view to be achieved for 25 tubes. In the center of the Fresnel lens, one LED and a complementary metal-oxide semiconductor camera were placed in directions that were as similar as possible. In addition, to achieve the accurate analysis of the results, image processing was used to correct them. As a result of an experiment using a reference fluorescent substance and double-distilled water, it was confirmed that stable fluorescence detection was possible.

Selection of species specific panel of reference genes in peripheral blood mononuclear cells of native livestock species adapted to trans-Himalayan region of Leh-Ladakh

The identification of appropriate references genes is an integral component of any gene expression-based study for getting accuracy and reliability in data interpretation. In this study, we evaluated the expression stability of 10 candidate reference genes (GAPDH, RPL4, EEF1A1, RPS9, HPRT1, UXT, RPS23, B2M, RPS15, ACTB) in peripheral blood mononuclear cells of livestock species that are adapted to high altitude hypoxia conditions of Leh-Ladakh. A total of 37 PBMCs samples from six native livestock species of Leh-Ladakh region such as Ladakhi cattle, Ladakhi yak, Ladakhi donkey, Chanthangi goat, Double hump cattle and Zanskar ponies were included in this study. The commonly used statistical algorithms such as geNorm, Normfinder, BestKeeper and RefFinder were employed to assess the stability of these RGs in all the livestock species. Our study has identified different panel of reference genes in each species; for example, EEF1A1, RPL4 in Ladakhi cattle; GAPDH, RPS9, ACTB in Ladakhi yak; HPRT1, B2M, ACTB in Ladakhi donkey; HPRT1, B2M, ACTB in Double hump camel, RPS9, HPRT1 in Changthangi goat, HPRT1 and ACTB in Zanskar ponies. To the best of our knowledge, this is the first systematic attempt to identify panel of RGs across different livestock species types adapted to high altitude hypoxia conditions. In future, the findings of the present study would be quite helpful in conducting any transcriptional studies to understand the molecular basis of high altitude adaptation of native livestock population of Leh-Ladakh.

Adaptive Filtering Framework to Remove Nonspecific and Low-Efficiency Reactions in Multiplex Digital PCR Based on Sigmoidal Trends

Real-time digital polymerase chain reaction (qdPCR) coupled with machine learning (ML) methods has shown the potential to unlock scientific breakthroughs, particularly in the field of molecular diagnostics for infectious diseases. One promising application of this emerging field explores single fluorescent channel PCR multiplex by extracting target-specific kinetic and thermodynamic information contained in amplification curves, also known as data-driven multiplexing. However, accurate target classification is compromised by the presence of undesired amplification events and not ideal reaction conditions. Therefore, here, we proposed a novel framework to identify and filter out nonspecific and low-efficient reactions from qdPCR data using outlier detection algorithms purely based on sigmoidal trends of amplification curves. As a proof-of-concept, this framework is implemented to improve the classification performance of the recently reported data-driven multiplexing method called amplification curve analysis (ACA), using available published data where the ACA is demonstrated to screen carbapenemase-producing organisms in clinical isolates. Furthermore, we developed a novel strategy, named adaptive mapping filter (AMF), to adjust the percentage of outliers removed according to the number of positive counts in qdPCR. From an overall total of 152,000 amplification events, 116,222 positive amplification reactions were evaluated before and after filtering by comparing against melting peak distribution, proving that abnormal amplification curves (outliers) are linked to shifted melting distribution or decreased PCR efficiency. The ACA was applied to assess classification performance before and after AMF, showing an improved sensitivity of 1.2% when using inliers compared to a decrement of 19.6% when using outliers (p-value < 0.0001), removing 53.5% of all wrong melting curves based only on the amplification shape. This work explores the correlation between the kinetics of amplification curves and the thermodynamics of melting curves, and it demonstrates that filtering out nonspecific or low-efficient reactions can significantly improve the classification accuracy for cutting-edge multiplexing methodologies.

Development of a low-cost multi-channel nucleic acid detection PCR instrument and clinical detection application of COVID-19

Since the COVID-19 outbreak at the end of December 2019, a variety of novel Coronavirus nucleic acid detection methods have been proposed at home and abroad. Because of the disadvantages of most existing PCR instruments on the market such as long reaction time and high cost, this study developed a more timesaving and cheaper two-channel real-time quantitative PCR instrument. In this instrument, a PCR system combining a thermal cycle system and real-time fluorescence quantitative technology was designed. The software system and data processing, optical system, thermal cycle module, and hardware module of the PCR instrument were studied. The low-cost, portable real-time quantitative PCR system has been validated with consistent results compared to Bio-rad CFX Connect. At the same time, the same samples were used for the contract experiment with the hospital instrument, and the amplification result was better than the existing instrument in the hospital.

Helicobacter pylori Infection, Its Laboratory Diagnosis, and Antimicrobial Resistance: a Perspective of Clinical Relevance

Despite the recent decrease in overall prevalence of Helicobacter pylori infection, morbidity and mortality rates associated with gastric cancer remain high. The antimicrobial resistance developments and treatment failure are fueling the global burden of H. pylori-associated gastric complications. Accurate diagnosis remains the opening move for treatment and eradication of infections caused by microorganisms. Although several reports have been published on diagnostic approaches for H. pylori infection, most lack the data regarding diagnosis from a clinical perspective. Therefore, we provide an intensive, comprehensive, and updated description of the currently available diagnostic methods that can help clinicians, infection diagnosis professionals, and H. pylori researchers working on infection epidemiology to broaden their understanding and to select appropriate diagnostic methods. We also emphasize appropriate diagnostic approaches based on clinical settings (either clinical diagnosis or mass screening), patient factors (either age or other predisposing factors), and clinical factors (either upper gastrointestinal bleeding or partial gastrectomy) and appropriate methods to be considered for evaluating eradication efficacy. Furthermore, to cope with the increasing trend of antimicrobial resistance, a better understanding of its emergence and current diagnostic approaches for resistance detection remain inevitable.

Hundreds-Dollar-Level Multiplex Integrated RT-qPCR Quantitative System for Field Detection

The COVID-19 pandemic poses a threat to global health. Due to its high sensitivity, specificity, and stability, real-time fluorescence quantitative (real-time PCR) detection has become the most extensively used approach for diagnosing SARS-CoV-2 pneumonia. According to a report from the World Health Organization, emerging and underdeveloped nations lack nucleic acid detection kits and polymerase chain reaction (PCR) instruments for molecular biological detection. In addition, sending samples to a laboratory for testing may result in considerable delays between sampling and diagnosis, which is not favorable to the timely prevention and control of new crown outbreaks. Concurrently, there is an urgent demand for accurate PCR devices that do not require a laboratory setting, are more portable, and are capable of completing testing on-site. Hence, we report on HDLRT-qPCR, a new, low-cost, multiplexed real-time fluorescence detection apparatus that we have developed for on-site testing investigations of diverse diseases in developing nations. This apparatus can complete on-site testing rapidly and sensitively. The entire cost of this instrument does not exceed USD 760. In order to demonstrate the applicability of our PCR instrument, we conducted testing that revealed that we achieved gradient amplification and melting curves comparable to those of commercially available equipment. Good consistency characterized the testing outcomes. The successful detection of target genes demonstrates the reliability of our inexpensive PCR diagnostic technique. With this apparatus, there is no need to transport samples to a central laboratory; instead, we conduct testing at the sampling site. This saves time on transportation, substantially accelerates overall testing speed, and provides results within 40 min.

Portable Heating System Based on a Liquid Metal Bath for Rapid PCR

With the outbreak of COVID-19 around the world, rapid and accurate detection of new coronaviruses is the key to stop the transmission of the disease and prevent and control the novel coronavirus, among which polymerase chain reaction (PCR) is the mainstream nucleic acid detection method. A temperature cycling device is the core of the PCR amplification micro-device. The precision of the temperature control and temperature change rate directly affect the efficiency of PCR amplification. This study proposes a new PCR method based on rapid PCR chip optimization of a liquid metal bath, which realizes precise and rapid temperature rise and fall control. We systematically explored the feasibility of using liquid metals with different melting points in the system and proposed a 47 °C bismuth-based liquid metal bath as the heat conduction medium of the system to optimize the system. The heat conduction properties of the thermally conductive silicone oil bath were compared. Compared with the thermally conductive silicone oil bath, thermal cycle efficiency is improved nearly 3 times. The average heating rate of the liquid metal bath is fast, and the temperature control stability is good, which can significantly reduce the hysteresis, and the temperature change curve is more gentle, which can greatly improve the efficiency of PCR amplification. The results of gene amplification using rat DNA as the template and SEC61A as the target also indicate that the system can be successfully used in PCR devices, and the types of PCR containers can be not limited to PCR tubes. Based on the experiment, we proved that the PCR method optimized by the liquid metal bath multi-gene rapid PCR chip can further improve the temperature response speed. It has the advantages of accurate data, fast response speed, low price, safety, and environmental protection and can effectively reduce the time of PCR and improve the application efficiency. As far as we know, this is the first international report on using a liquid metal bath to do rapid-cooling PCR.

PCR-tips for rapid diagnosis of bacterial pathogens

Micropipette tips are currently among the most used disposable devices in bioresearch and development laboratories. Their main application is the fractionation of solutions. New functionalities have recently been added to this device, widening their applications. This paper analyzed disposable micropipette tips as reagent holders of PCR reagents. PCR has become a prevalent and often indispensable technique in biological laboratories for various applications, such as the detection of coronavirus and other infectious diseases. A functional micropipette tip was implemented to simplify PCR analysis and reduce the contamination chances of deoxynucleotides and specific primers. This disposable device is prepared by tip coating processes of reagents, using polyvinyl alcohol polymer and additives. The coated layer is optimized to load and release PCR reagents efficiently. As a proof of concept, we show that the detection of Bordetella pertussis, the etiological agent of whooping cough whose diagnostic relies on PCR, can be quickly done using practical-functional tips. This device is an excellent example of testing the functionality and contribution of molecular diagnostic PCR tips. KEY POINTS: • Functional micropipette tips are prepared by coating with dNTPs and primers. • Functional tips are used to replace dNTPs and primers in the PCR master mix. • PCR diagnostic of Bordetella pertussis is performed using functional tips.

Design of Hydrogel Silk-Based Microarrays and Molecular Beacons for Reagentless Point-of-Care Diagnostics

We have developed a novel microarray system based on three technologies: 1) molecular beacons designed to interact with DNA targets at room temperature (25-27°C), 2) tridimensional silk-based microarrays containing the molecular beacons immersed in the silk hydrogel, and 3) shallow angle illumination, which uses separated optical pathways for excitation and emission. Unlike conventional microarrays that exhibit reduced signal-to-background ratio, require several stages of incubation, rinsing, and stringency control, and measure only end-point results, our microarray technology provides enhanced signal-to-background ratio (achieved by separating the optical pathways for excitation and emission, resulting in reduced stray light), performs analysis rapidly in one step without the need for labeling DNA targets, and measures the entire course of association kinetics between target DNA and the molecular beacons. To illustrate the benefits of our technology, we conducted microarray assays designed for the identification of influenza viruses. We show that in a single microarray slide, we can identify the virus subtype according to the molecular beacons designed for hemagglutinin (H1, H2, and H3) and neuraminidase (N1, N2). We also show the identification of human and swine influenza using sequence-specific molecular beacons. This microarray technology can be easily implemented for reagentless point-of-care diagnostics of several contagious diseases, including coronavirus variants responsible for the current pandemic.

Antifungal Exposure and Resistance Development: Defining Minimal Selective Antifungal Concentrations and Testing Methodologies

This scoping review aims to summarise the current understanding of selection for antifungal resistance (AFR) and to compare and contrast this with selection for antibacterial resistance, which has received more research attention. AFR is an emerging global threat to human health, associated with high mortality rates, absence of effective surveillance systems and with few alternative treatment options available. Clinical AFR is well documented, with additional settings increasingly being recognised to play a role in the evolution and spread of AFR. The environment, for example, harbours diverse fungal communities that are regularly exposed to antifungal micropollutants, potentially increasing AFR selection risk. The direct application of effect concentrations of azole fungicides to agricultural crops and the incomplete removal of pharmaceutical antifungals in wastewater treatment systems are of particular concern. Currently, environmental risk assessment (ERA) guidelines do not require assessment of antifungal agents in terms of their ability to drive AFR development, and there are no established experimental tools to determine antifungal selective concentrations. Without data to interpret the selective risk of antifungals, our ability to effectively inform safe environmental thresholds is severely limited. In this review, potential methods to generate antifungal selective concentration data are proposed, informed by approaches used to determine antibacterial minimal selective concentrations. Such data can be considered in the development of regulatory guidelines that aim to reduce selection for AFR.

Recent Advances in Signal Amplification to Improve Electrochemical Biosensing for Infectious Diseases

The field of infectious disease diagnostics is burdened by inequality in access to healthcare resources. In particular, “point-of-care” (POC) diagnostics that can be utilized in non-laboratory, sub-optimal environments are appealing for disease control with limited resources. Electrochemical biosensors, which combine biorecognition elements with electrochemical readout to enable sensitive and specific sensing using inexpensive, simple equipment, are a major area of research for the development of POC diagnostics. To improve the limit of detection (LOD) and selectivity, signal amplification strategies have been applied towards these sensors. In this perspective, we review recent advances in electrochemical biosensor signal amplification strategies for infectious disease diagnostics, specifically biosensors for nucleic acids and pathogenic microbes. We classify these strategies into target-based amplification and signal-based amplification. Target-based amplification strategies improve the LOD by increasing the number of detectable analytes, while signal-based amplification strategies increase the detectable signal by modifying the transducer system and keep the number of targets static. Finally, we argue that signal amplification strategies should be designed with application location and disease target in mind, and that the resources required to produce and operate the sensor should reflect its proposed application, especially when the platform is designed to be utilized in low-resource settings. We anticipate that, based on current technologies to diagnose infectious diseases, incorporating signal-based amplification strategies will enable electrochemical POC devices to be deployed for illnesses in a wide variety of settings.

Nephrinuria and podocytopathies

The discovery of nephrin in 1998 has launched a new era in glomerular diseases research, emphasizing its crucial role in the structure and function of the glomerular filtration barrier. In the past 20 years, substantial advances have been made in understanding podocyte structure and function as well as the discovery of several podocyte-related proteins including nephrin. The glomerular filtration barrier is comprised of podocytes, the glomerular basement membrane and endothelial cells. Podocytes, with their specialized slit diaphragm, form the essential backbone of the glomerular filtration barrier. Nephrin is a crucial structural and functional feature of the slit diaphragm that prevents plasma protein, blood cell and macromolecule leakage into the urine. Podocyte damage results in nephrin release. Podocytopathies are kidney diseases in which podocyte damage drives proteinuria, i.e., nephrotic syndrome. Many kidney diseases involve podocytopathy including congenital nephrotic syndrome of Finnish type, diffuse mesangial sclerosis, minimal change disease, focal segmental glomerulosclerosis, collapsing glomerulonephropathy, diabetic nephropathy, lupus nephropathy, hypertensive nephropathy and preeclampsia. Recently, urinary nephrin measurement has become important in the early detection of podocytopathies. In this chapter, we elaborate the main structural and functional features of nephrin as a podocyte-specific protein, pathomechanisms of podocytopathies which result in nephrinuria, highlight the most commonly used methods for detecting urinary nephrin and investigate the diagnostic, prognostic and potential therapeutic relevance of urinary nephrin in primary and secondary proteinuric kidney diseases.