Application of perovskites in bioimaging: the state-of-the-art and future developments.

BACKGROUND: Recently, the development of perovskite-based nanocrystals for sustainable applications in bioimaging and clinical diagnostics have become a very active area of research. From 2D hybrid to zero-dimensional quantum dots (QDs), perovskites along with a variety of characteristic features, specifically non-linear optoelectronics properties, have attracted enormous research attention. These characteristics can be tuned by the type of cations or anions and their ratio used in host perovskites. Carrier doping and chemical modifications are additional alternatives to control optical and magnetism in radiodiagnostics. AREA COVERED: This review begins by explaining the physical phenomena associated with luminescence or optical features of novel perovskites in diagnostic applications. Moreover, reported oxide, halide, doped, and QDs-based nanoprobes were elaborated. At last, the need for novel perovskite development, for example, persistent luminescent and low cytotoxicity is discussed, and the futuristic perspective of perovskites in clinical diagnostics with real-time demonstration is explained. EXPERT OPINION: Our article concludes that hybrid perovskites, including metal-free, core-shell nanocomposites-based, and alloy-based perovskites, exhibit tunable bandgap and high photoluminescence quantum yields which ultimately result in high optical features. However, given limited understanding of ion transport mechanisms and dependency on environmental conditions of the perovskites, more research is needed.

Development of Nanomaterial-Modified Impedimetric Aptasensor-A Single-Step Strategy for 3,4-Methylenedioxymethylamphetamine Detection.

Developing rapid, sensitive detection methods for 3,4-Methylenedioxymethylamphetamine (MDMA) is crucial to reduce its current misuse in the world population. With that aim, we developed an aptamer-modified tin nanoparticle (SnNP)-based nanoarchitecture as an electrochemical sensor in this study. This platform exhibited a high electron transfer rate with enhanced conductivity arising from its large surface area in comparison to the bare electrode. This observation was explained by the 40-fold higher electroactive surface area of SnNPs@Au, which provided a large space for 1.0 µM AptMDMA (0.68 ± 0.36 × 1012 molecule/cm2) immobilization and yielded a significant electrochemical response in the presence of MDMA. Furthermore, the AptMDMA-modified SnNPs@Au sensing platform proved to be a simple yet ultrasensitive analytical device for MDMA detection in spiked biological and water samples. This novel electrochemical aptasensor showed good linearity in the range of 0.01-1.0 nM for MDMA (R2 = 0.97) with a limit of detection of 0.33 nM and a sensitivity of 0.54 ohm/nM. In addition, the device showed high accuracy and stability along with signal recoveries in the range of 92-96.7% (Relative Standard Deviation, RSD, 1.1-2.18%). In conclusion, the proposed aptasensor developed here is the first to combine SnNPs and aptamers for illicit compound detection, and it offers a reliable platform for recreational drug detection.

Nanobots-based advancement in targeted drug delivery and imaging: An update.

Manipulation and targeted navigation of nanobots in complex biological conditions can be achieved by chemical reactions, by applying external forces, and via motile cells. Several studies have applied fuel-based and fuel-free propulsion mechanisms for nanobots movements in environmental sciences and robotics. However, their applications in biomedical sciences are still in the budding phase. Therefore, the current review introduces the fundamentals of different propulsion strategies based on the advantageous features of applied nanomaterials or cellular components. Furthermore, the recent developments reported in various literatures on next-generation nanobots, such as Xenobots with applications of in-vitro and in-vivo drug delivery and imaging were also explored in detail. The challenges and the future prospects are also highlighted with corresponding advantages and limitations of nanobots in biomedical applications. This review concludes that with ever booming research enthusiasm in this field and increasing multidisciplinary cooperation, micro-/nanorobots with intelligence and multifunctions will emerge in the near future, which would have a profound impact on the treatment of diseases.

A systematic review on SARS-CoV-2-associated fungal coinfections.

A severe pandemic of Coronavirus Disease (COVID-19) has been sweeping the globe since 2019, and this time, it did not stop, with frequent mutations transforming into virulent strains, for instance, B.1.1.7, B.1.351, and B.1.427. In recent months, a fungal infection, mucormycosis has emerged with more fatal responses and significantly increased mortality rate. To measure the severity and potential alternative approaches against black fungus coinfection in COVID-19 patients, PubMed, Google Scholar, World Health Organization (WHO) newsletters, and other online resources, based on the cases reported and retrospective observational analysis were searched from the years 2015-2021. The studies reporting mucormycosis with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) coinfection and/or demonstrating potential risk factors, such as a history of diabetes mellitus or suppressed immune system were included, and reports published in non-English language were excluded. More than 20 case reports and observational studies on black fungus coinfection in COVID-19 patients were eligible for inclusion. The results indicated that diabetes mellitus, hyperglycemic, and immunocompromised COVID-19 patients with mucormycosis were at a higher risk. We found that it was prudent to assess the potential risk factors and severity of invasive mycosis via standardized diagnostic and clinical settings. Large-scale studies need to be conducted to identify early biomarkers and optimization of diagnostic methods has to be established per population and geographical variation. This will not only help clinicians around the world to detect the coinfection in time but also will prepare them for future outbreaks of other potential pandemics.

Optimizing testing regimes for the detection of COVID-19 in children and older adults.

Introduction: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection is a major pandemic and continuously emerging due to unclear prognosis and unavailability of reliable detection tools. Older adults are more susceptible to COVID-19 than children showing mature Angiotensin-Converting Enzyme 2 (ACE2), low concentration of immune targets, and comorbid conditions. Several detection platforms have been commercialized to date and more are in pipeline, however, the rate of false-positive results and rapid mutation of SARS-CoV-2 is increasing. Additionally, physiological, and geographical variations of affected individuals are also calling for diagnostic methods optimization.Areas Covered: Extensive information related to the optimization and usefulness of SARS-CoV-2 diagnostic methods based on sensitivity and specificity as definitive and feasible investigative tools is discussed. Moreover, an option of combining laboratory diagnostic methods to improve diagnostic strategies is also proposed and discussed in the comparative section of optimization studies.Expert Opinion: The review article explains the importance of optimization strategies for SARS-CoV-2 detection in children and older adults. There are advancements in COVID-19 detection including CRISPR-based, electrochemical, and optical-based sensing systems. However, the lack of sufficient studies on a comparative evaluation of standardized SARS-CoV-2 diagnostic methods among children and older adults, limit the authentication of commercialized kits.

Interpretative immune targets and contemporary position for vaccine development against SARS-CoV-2: A systematic review.

The year 2020 started with the emergence of novel coronavirus, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), which causes COVID-19 infection. Soon after the first evidence was reported in Wuhan, China, the World Health Organization declared global public health emergency and imminent need to understand the pathogenicity of the virus was required in limited time. Once the genome sequence of the virus was delineated, scientists across the world started working on the development of vaccines. Although, some laboratories have been using previously developed vaccine platforms from severe acute respiratory syndrome coronavirus (SARS) and middle east respiratory syndrome-related coronavirus and apply them in COVID-19 vaccines due to genetic similarities between coronaviruses. We have conducted a literature review to assess the background and current status of COVID-19 vaccines. The worldwide implementation and strategies for COVID-19 vaccine development are summarized from studies reported in years 2015-2020. While discussing the vaccine candidates, we have also explained interpretative immune responses of SARS-CoV-2 infection. There are several vaccine candidates at preclinical and clinical stages; however, only 42 vaccines are under clinical trials. Therefore, more industry collaborations and financial supports to COVID-19 studies are needed for mass-scale vaccine development. To develop effective vaccine platforms against SARS-CoV-2, the genetic resemblance with other coronaviruses are being evaluated which may further promote fast-track trials on previously developed SARS-CoV vaccines.

New and developing diagnostic platforms for COVID-19: A systematic review.

INTRODUCTION: The starting months of 2020 witnessed a global pandemic of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) infection. The first case of Coronavirus Disease 2019 (COVID-19) was reported in December, 2019 in Wuhan, China and millions of cases and thousands of deaths were reported within five months. Currently, reverse transcription-polymerase chain reaction (RT-PCR) and computed tomography (CT) scanning are clinically prescribed for COVID-19 detection across the globe. AREAS COVERED: This systematic review is focused on currently used diagnostic methods for COVID-19 detection and their future prospects. Online searches on Google Scholar, PubMed and online resources were conducted on the period of year 2017 to mid-2020. Studies investigating laboratory examinations, radiographical analysis, and potential sensors for COVID-19 detection were included. Along with this, the current status of commercially available kits for SARS-CoV-2 coronavirus detection is discussed. EXPERT OPINION: The search has identified the potential applications of nucleic acid technology, diagnostics radiology examinations, and in-vitro diagnostic kits in detection of COVID-19 infections. Despite having their own limitations of each technology, the emerging diagnostic technologies for COVID-19 detection along with undergoing clinical trials are summarized suggesting more collaborations and funding are required for fast track clinical trials.

Dual-Layered Nanomaterial-Based Molecular Pattering on Polymer Surface Biomimetic Impedimetric Sensing of a Bliss Molecule, Anandamide Neurotransmitter.

In this endeavor, a novel electrochemical biosensor was designed using multiwall carbon nanotubes (MWCNTs)- and nickel nanoparticles (NiNPs)-embedded anandamide (AEA) imprinted polymer. The NiNPs so synthesized were mortared with MWCNTs and molecularly imprinted polymer (MIP), which enhanced sensitivity and selectivity of the developed sensor, respectively. The characterization methods of AEA-based MIP included X-ray diffraction (XRD), scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), and Brunauer-Emmett-Teller (BET) analysis, which supported the successful synthesis of the polymer. Electrochemical studies of fabricated sensor were performed using cyclic voltammetry (CV) and electrochemical impedance spectroscopy in potentiostatic mode (PEIS). In this first phase of AEA-specific sensor development, MWCNT/NiNP/MIP@SPE was found to successfully discriminate between different concentrations of AEA. The developed sensing platform demonstrated a 100 pM-1 nM linear range with a 0.01 nM detection limit (LOD), 0.0149 mA/pM sensitivity, and 50% stability within 4 months. The sensor demonstrated selectivity toward AEA: although acetylcholine (ACh) and dopamine acted as strong interfering components because of their chemical similarity, the spiked AEA samples demonstrated ∼90% recoveries. Hence, our results have passed the first step in AEA detection at home, although with a clinical setup, future advancement is still required.

Triple-nanostructuring-based noninvasive electro-immune sensing of CagA toxin for Helicobacter pylori detection.

BACKGROUND: Helicobacter pylori (H pylori) is gram-negative, spiral, and microaerophilic bacteria which can survive in ~2%-10% oxygen level. It was reported to populate in human gastric mucosa and leads to gastric cancer without any age or gender difference. MATERIALS AND METHODS: In this study, we are targeting label-free electrochemical immunosensor development for rapid H pylori detection after covalently immobilizing the antibody (CagA) over the nanomaterials modified Au electrode. Titanium oxide nanoparticles (TiO2 NPs), carboxylated multi-walled carbon nanotubes (c-MWCNT), and conducting polymer polyindole carboxylic acid (Pin5COOH) composites (TiO2 NPs/c-MWCNT/Pin5COOH) were synthesized and further utilized in immunosensor development as an electrochemical interface onto Au electrode. The stepwise modifications of CagAantibody/TiO2 NPs/c-MWNCT/Pin5COOH/Au electrode were electrochemically studied. RESULTS: Possessing the unique features of advanced materials, the proposed immunosensor reported low sensing limit of 0.1 ng/mL in dynamic linear range of 0.1-8.0 ng/mL with higher stability and reproducibility. Furthermore, developed sensor-based determination of H pylori in five human stool specimens has shown good results with suitable accuracy. CONCLUSIONS: This work lays strong foundation toward developing nanotechnology-enabled electrochemical sensor for ultrasensitive and early detection of H pylori in noninvasively collected clinical samples.

Negative geotaxis: An early age behavioral hallmark to VPA rat model of autism.

BACKGROUND: Negative geotaxis (NG) is an important parameter, commonly used in study of different CNS diseases and neurodevelopmental disorders. Neurobehavioural change following brain injury was easily identified by negative geotaxis. PURPOSE: Although NG is evaluated in the settings of ASD, most of the studies are conducted for short duration (1-3 day) and the overall trend of acquisition of NG is not evaluated. In this context, we wanted to evaluate the trend of acquisition of negative geotaxis as a behavioural marker of autism in Valproic acid (VPA) model of ASD. METHODS: Dams in the VPA group were treated with intraperitoneal injections of VPA 600 mg/kg single dose on gestational day 12.5, while the control animals received normal saline of similar volume. Developmental parameters {body weight (PND 8, 10 & 12), body length (PND 4, 5, 6 8, 10), eye opening (PND 10, 12, 14, 15 and 16) and motor development (grid walking test on PND 20)} were monitored. Negative geotaxis test was performed at PND 6, 10, 15 and 17. RESULTS: The results of the present experiments demonstrate that VPA exposed rats exhibited delayed developmental parameters, aberration of the pattern of acquisition of negative geotaxis, enhanced negative geotaxis in early postnatal period (PND 6) and enhanced negative geotaxis in absence of visual clues (PND 17). CONCLUSION: NG can be a valuable biomarker in early detection of autistic behavior and in absence of visual clues. The abberant negative geotaxis developmental pattern can serve as a marker to detect ASD. Thus NG can serve as an important early age biomarker of ASD. Further studies are required to validate this finding.

Congenital malformation and autism spectrum disorder: Insight from a rat model of autism spectrum disorder.

AIMS AND OBJECTIVES: The primary aim was an evaluation of the pattern of gross congenital malformations in a rat model of autism spectrum disorder (ASD) and the secondary aim was characterization of the most common gross malformation observed. MATERIALS AND METHODS: In females, the late pro-oestrous phase was identified by vaginal smear cytology, and then, they were allowed to mate at 1:3 ratio (male: female). Pregnancy was confirmed by the presence of sperm plug in the vagina and presence of sperm in the vaginal smear. In the ASD group, ASD was induced by injecting valproic acid 600 mg/kg (i.p.) to pregnant female rats (n = 18) on day 12.5 (single injection). Only vehicle (normal saline) was given in the control group (n = 12). After delivery, pups were grossly observed for congenital malformations until the time of sacrifice (3 months) and different types of malformations and their frequency were noted and characterized. RESULTS: In the ASD group, congenital malformation was present in 69.9% of the pups, whereas in the control group, it was 0%. Male pups were most commonly affected (90% in males vs. only 39.72% in female pups). The tail deformity was the most common malformation found affecting 61.2% pups in the ASD group. Other malformations observed were dental malformation (3.82%), genital malformation (3.28%) and paw malformation (1.1%). Hind limb paralysis was observed in one pup. The tail anomalies were characterized as per gross appearance and location of the malformation. CONCLUSION: In this well-validated rat model of ASD, congenital malformation was quite common. It seems screening of congenital malformations should be an integral part of the management of ASD, or the case may be vice versa, i.e., in the case of a baby born with a congenital deformity, they should be screened for ASD.

Nanomedicine in Central Nervous System (CNS) Disorders: A Present and Future Prospective.

Purpose: For the past few decades central nervous system disorders were considered as a major strike on human health and social system of developing countries. The natural therapeutic methods for CNS disorders limited for many patients. Moreover, nanotechnology-based drug delivery to the brain may an exciting and promising platform to overcome the problem of BBB crossing. In this review, first we focused on the role of the blood-brain barrier in drug delivery; and second, we summarized synthesis methods of nanomedicine and their role in different CNS disorder. Method: We reviewed the PubMed databases and extracted several kinds of literature on neuro nanomedicines using keywords, CNS disorders, nanomedicine, and nanotechnology. The inclusion criteria included chemical and green synthesis methods for synthesis of nanoparticles encapsulated drugs and, their in-vivo and in-vitro studies. We excluded nanomedicine gene therapy and nanomaterial in brain imaging. Results: In this review, we tried to identify a highly efficient method for nanomedicine synthesis and their efficacy in neuronal disorders. SLN and PNP encapsulated drugs reported highly efficient by easily crossing BBB. Although, these neuro-nanomedicine play significant role in therapeutics but some metallic nanoparticles reported the adverse effect on developing the brain. Conclusion: Although impressive advancement has made via innovative potential drug development, but their efficacy is still moderate due to limited brain permeability. To overcome this constraint,powerful tool in CNS therapeutic intervention provided by nanotechnology-based drug delivery methods. Due to its small and biofunctionalization characteristics, nanomedicine can easily penetrate and facilitate the drug through the barrier. But still, understanding of their toxicity level, optimization and standardization are a long way to go.