Microplastics occurrence, detection and removal with emphasis on insect larvae gut microbiota

Microplastics have been identified in all living forms including human beings, the present need is to restrain its spread and devise measures to remediate microplastics from polluted ecosystems. In this regard, the present review emphasizes on the occurrence, sources detection and toxic effects of microplastics in various ecosystems. The removal of microplastics is prevalent by various physico-chemical and biological methods, although the removal efficiency by biological methods is low. It has been noted that the degradation of plastics by insect gut larvae is a well-known aspect, however, the underlying mechanism has not been completely identified. Studies conducted have shown the magnificent contribution of gut microbiota, which have been isolated and exploited for microplastic remediation. This review also focuses on this avenue, as it highlights the contribution of insect gut microbiota in microplastic degradation along with challenges faced and future prospects in this area.

Microalgal remediation and valorisation of polluted wastewaters for zero-carbon circular bioeconomy

Overexploitation of natural resources to meet human needs has considerably impacted CO₂ emissions, contributing to global warming and severe climatic change. This review furnishes an understanding of the sources, brutality, and effects of CO₂ emissions and compelling requirements for metamorphosis from a linear to a circular bioeconomy. A detailed emphasis on microalgae, its types, properties, and cultivation are explained with significance in attaining a zero-carbon circular bioeconomy. Microalgal treatment of a variety of wastewaters with the conversion of generated biomass into value-added products such as bio-energy and pharmaceuticals, along with agricultural products is elaborated. Challenges encountered in large-scale implementation of microalgal technologies for low-carbon circular bioeconomy are discussed along with solutions and future perceptions. Emphasis on the suitability of microalgae in wastewater treatment and its conversion into alternate low-carbon footprint bio-energies and value-added products enforcing a zero-carbon circular bioeconomy is the major focus of this review.

Advances in the utilisation of carbon-neutral technologies for a sustainable tomorrow: A critical review and the path forward

Global industrialisation and overexploitation of fossil fuels significantly impact greenhouse gas emissions, resulting in global warming and other environmental problems. Hence, investigations on capturing, storing, and utilising atmospheric CO2 create novel technologies. Few microorganisms, microalgae, and macroalgae utilise atmospheric CO2 for their growth and reduce atmospheric CO2 levels. Activated carbon and biochar from biomasses also capture CO2. Nanomaterials such as metallic oxides, metal-organic frameworks, and MXenes illustrate outstanding adsorption characteristics, and convert CO2 to carbon-neutral fuels, creating a balance between CO2 production and elimination, thus zeroing the carbon footprint. The need for a paradigm shift from fossil fuels and promising technologies on renewable energies, carbon capture mechanisms, and carbon sequestration techniques that help reduce CO2 emissions for a better tomorrow are reviewed to achieve the world's sustainable development goals. The challenges and possible solutions with future perspectives are also discussed.

Plant-mediated gold and silver nanoparticles as detectors of heavy metal contamination

Heavy metals are dumped into the environment as a result of human activities, posing a serious threat to ecology and human health. Surface water, potable drinking water, potable groundwater, and majority of wastewater include their traces, due to which, their detection by nanoparticles has received a lot of attention in recent years. Although microorganisms are utilised for green nanoparticle production, plant materials have recently been explored because they are more environmentally friendly, easier to scale up, and require fewer specific growth conditions. The production and attributes of nanoparticles synthesized by plant mediation could be enhanced through design of experiments approach, extending their feasibility in the detection of heavy metals in polluted environmental samples. A concise review on green synthesis of silver and gold nanoparticles utilizing plant phytochemicals, its mechanism of synthesis along with significance of design of experiments for enhancement, and their use as heavy metal contamination detectors is presented in the current study.

Identification of a Vitamin-D Receptor Antagonist, MeTC7, which Inhibits the Growth of Xenograft and Transgenic Tumors In Vivo

Vitamin-D receptor (VDR) mRNA is overexpressed in neuroblastoma and carcinomas of lung, pancreas, and ovaries and predicts poor prognoses. VDR antagonists may be able to inhibit tumors that overexpress VDR. However, the current antagonists are arduous to synthesize and are only partial antagonists, limiting their use. Here, we show that the VDR antagonist MeTC7 (5), which can be synthesized from 7-dehydrocholesterol (6) in two steps, inhibits VDR selectively, suppresses the viability of cancer cell-lines, and reduces the growth of the spontaneous transgenic TH-MYCN neuroblastoma and xenografts in vivo. The VDR selectivity of 5 against RXRα and PPAR-γ was confirmed, and docking studies using VDR-LBD indicated that 5 induces major changes in the binding motifs, which potentially result in VDR antagonistic effects. These data highlight the therapeutic benefits of targeting VDR for the treatment of malignancies and demonstrate the creation of selective VDR antagonists that are easy to synthesize.

Development of EPS rich herbal shampoo base fermented using Cyclea peltata leaf powder and Lactobacillus plantarum

BACKGROUND

Studies show that the extensive use of chemical shampoos has a negative impact on health. Given the recent trends, the use of herbal shampoos is gaining importance. Cyclea peltata is a common plant in Kerala's coastal region that has traditionally been used to aid in wound healing, allergy relief, and hair and scalp improvement. Greenly produced silver nanoparticles made from plant sources have a wide range of medical applications.

OBJECTIVE

The main objective is to optimize the base of the shampoo with better solid content by OFAT studies and characterize the silver nanoparticles synthesized using post optimized shampoo base.

METHOD

Cyclea peltata leaves were fermented with Lactobacillus plantarum for the shampoo formulation, substituting the chemical basis gelatin with an herbal fermented foundation. Silver nanoparticles combined with an herbal formulation should be as safe as herbal shampoo while also being as effective as chemical shampoo. Variation of concentration of Cyclea peltata leaf powder, variation of sucrose concentration, variation of concentration of yeast extract, variation of L.plantarum inoculum, variation of temperature, variation of agitation speed and variation of time were all studied using the OFAT (One Factor At a Time) method. Silver nanoparticles synthesized using post optimized shampoo bases were also characterised by particle size, zeta potential and FTIR analysis in order to better understand their properties.

RESULTS

The results clearly indicated that all the six factors had a significant effect on the growth and production of EPS. The pH considered for the shampoo base is above 5 so as to maintain the acidic mantle of the scalp. Green synthesized silver nanoparticles from post optimized shampoo base were obtained within 17^th hour of incubation, with single surface plasmon resonance at 420nm. Nanoparticles showed a peak at -11.6 mv of zeta potential which means that the particles are less agglomerative and stable. Similar groups were seen in ftir spectrum of fermented silver nanoparticles and the plant extract which confirmed the capping of nanoparticles with plant phytochemicals.

CONCLUSION

The study successfully prepared and characterized green synthesized silver nanoparticles from post optimized shampoo base and also optimized the shampoo base based on the EPS production. Characterization of the silver nanoparticles found that the nanoparticles synthesized were stable, less agglomerative and had several useful components present in it.

Cost-effectiveness of 3 versus 6 years of zoledronic acid treatment before bisphosphonate holiday for women with osteoporosis

We evaluated the cost-effectiveness of recurrent periods of 3 versus 6 years of zoledronic acid treatment prior to 3-year bisphosphonate holidays for US postmenopausal women with osteoporosis and femoral neck BMD T-scores between - 2.5 and - 3.5. We found that cycles of 3 years of treatment followed by holidays is likely to be the more cost-effective option.

INTRODUCTION

We compared the effectiveness and cost-effectiveness of cycles of 3 years versus 6 years of zoledronic acid treatment prior to 3-year bisphosphonate holidays for US postmenopausal women with osteoporosis.

METHODS

We developed an individual-level state-transition microsimulation cost-effectiveness model to compare treatment strategies over the lifetime of recurrent periods of 3 years of zoledronic acid followed by 3-year holidays (zoledronic acid 3/3), recurrent periods of 6 years of zoledronic acid followed by 3-year holidays (zoledronic acid 6/3), and no zoledronic acid treatment for women with osteoporosis and femoral neck BMD T-scores between - 2.5 and - 3.5.

RESULTS

Base-case analysis and all key parameter sensitivity analysis findings for every treatment initiation age evaluated (50, 60, 70, and 80) revealed that zoledronic acid 3/3 was consistently the most cost-effective strategy, assuming a willingness-to-pay of $100,000 per quality-adjusted life-year (QALY). In general, the zoledronic acid 3/3 and 6/3 strategies were relatively close in effectiveness (QALYs) over the lifetime; however, lifetime direct health care costs were on average approximately $2000 lower for the 3/3 strategy. Probabilistic sensitivity analysis results revealed that the zoledronic acid 3/3 strategy was favored in greater than 70% of the iterations for a willingness-to-pay threshold of $100,000/QALY for all treatment initiation ages evaluated.

CONCLUSIONS

After 3 years of zoledronic acid treatment for postmenopausal women with osteoporosis and femoral neck BMD T-scores between - 2.5 and - 3.5, taking 3-year holidays before restarting another treatment cycle is likely to be more cost-effective over the lifetime than cycles of 6 years of treatment prior to 3-year holidays.

Role of Artificial Intelligence in COVID-19 Detection

The global pandemic of coronavirus disease (COVID-19) has caused millions of deaths and affected the livelihood of many more people. Early and rapid detection of COVID-19 is a challenging task for the medical community, but it is also crucial in stopping the spread of the SARS-CoV-2 virus. Prior substantiation of artificial intelligence (AI) in various fields of science has encouraged researchers to further address this problem. Various medical imaging modalities including X-ray, computed tomography (CT) and ultrasound (US) using AI techniques have greatly helped to curb the COVID-19 outbreak by assisting with early diagnosis. We carried out a systematic review on state-of-the-art AI techniques applied with X-ray, CT, and US images to detect COVID-19. In this paper, we discuss approaches used by various authors and the significance of these research efforts, the potential challenges, and future trends related to the implementation of an AI system for disease detection during the COVID-19 pandemic.

Design of a soft sensing technique for measuring pitch and yaw angular positions for a Twin Rotor MIMO System

Background: This paper presents a soft sensor design technique for the estimation of pitch and yaw angular positions of a Twin Rotor MIMO System (TRMS). The objective of the proposed work was to calculate the value of pitch and yaw angular positions using a stochastic estimation technique. 

Methods: Measurements from optical sensors were used to measure fan blade rotations per minute (RPM).  The Kalman filter, which is a stochastic estimator, was used in the proposed system and its results were compared with those of the Luenberger observer and neural network. The Twin Rotor MIMO System is a nonlinear system with significant cross-coupling between its rotors. 

Results: The estimators were designed for the decoupled system and were applied in real life to the coupled TRMS. The convergence of estimation to the actual values was checked on a practical setup. The Kalman filter estimators were evaluated for various inputs and disturbances, and the results were corroborated in real-time. 

Conclusion:  From the proposed work it was seen that the Kalman filter had at least Integral Absolute Error (IAE), Integral Square Error (ISE), Integral Time Absolute Error (ITAE) as compared to the neural network and the Luenberger based observer.

Organoleptic and physicochemical properties of natural-based herbal shampoo formulations with Cyclea peltata as a key ingredient

BACKGROUND

Synthetic shampoos have toxic chemical agents like chemicals such as parabens and sodium lauryl sulfate which damage the hair. To combat this issue, the use of natural herbal shampoos, as opposed to synthetic shampoos, is becoming increasingly popular. One of the many medicinal plants present in Karnataka and Kerala is Cyclea peltata. This plant has long been known to assist in wound healing, allergy relief, and hair and scalp improvement, as well as serving as a coolant for hair applications.

OBJECTIVE

The key subject of this research was the preparation of plant extracts and fermentation of Cyclea peltata leaf extract with Lactobacillus plantarum, resulting in the formulation of an herbal shampoo.

METHOD

The leaf extract contained alkaloids, flavonoids, tannins, phenolic acid, saponins, and proteins, according to previous research by this group. The fermented product showed the presence of lactic acid, which was a boon for shampoo base as it protects the hair from the sunlight and improves the texture and strength of hair fibers. Cyclea peltata was used as the main ingredient in herbal shampoo formulations, along with other herbal ingredients, and the formulated shampoo was characterized for its different organoleptic (Color, odor) and physicochemical properties (pH, solid content, wettability, emulsification, and foam stability) to find the best formulation.

RESULT

Formulation H2 showed better organoleptic and physicochemical properties and thus was chosen as the best formulation among the 11 formulations.

CONCLUSION

Formulation H2 is regarded as the best formulation based on the results of the physicochemical tests (Pleasant odor, pH 3.01, solid content of 5.75%, wettability of 1.68 s, and percentage emulsification of 68.75%).

Structural Basis for the Understanding of Entry Inhibitors Against SARS Viruses

Outbreaks due to Severe Acute Respiratory Syndrome-Corona virus 2 (SARS-CoV-2) initiated in Wuhan city, China, in December 2019 which continued to spread internationally, posing a pandemic threat as declared by WHO and as of March 10, 2021, confirmed cases reached 118 million along with 2.6 million deaths worldwide. In the absence of specific antiviral medication, symptomatic treatment and physical isolation remain the options to control the contagion. The recent clinical trials on antiviral drugs highlighted some promising compounds such as umifenovir (haemagglutinin-mediated fusion inhibitor), remdesivir (RdRp nucleoside inhibitor), and favipiravir (RdRp Inhibitor). WHO launched a multinational clinical trial on several promising analogs as a potential treatment to combat SARS infection. This situation urges a holistic approach to invent safe and specific drugs as a prophylactic and therapeutic cure for SARS-related-viral diseases, including COVID-19. It is significant to note that researchers worldwide have been doing their best to handle the crisis and have produced an extensive and promising literature body. It opens a scope and allows understanding the viral entry at the molecular level. A structure-based approach can reveal the molecular-level understanding of viral entry interaction. The ligand profiling and non-covalent interactions among participating amino-acid residues are critical information to delineate a structural interpretation. The structural investigation of SARS virus entry into host cells will reveal the possible strategy for designing drugs like entry inhibitors. The structure-based approach demonstrates details at the 3D molecular level. It shows specificity about SARS-CoV-2 spike interaction, which uses human angiotensin-converting enzyme 2 (ACE2) as a receptor for entry, and the human protease completes the process of viral fusion and infection. The 3D structural studies reveal the existence of two units, namely S1 and S2. S1 is called a receptor-binding domain (RBD) and responsible for interacting with the host (ACE2), and the S2 unit participates in the fusion of viral and cellular membranes. TMPRSS2 mediates the cleavage at S1/S2 subunit interface in S-protein of SARS CoV-2, leading to viral fusion. Conformational difference associated with S1 binding alters ACE2 interaction and inhibits viral fusion. Overall, the detailed 3D structural studies help understand the 3D structural basis of interaction between viruses with host factors and available scope for the new drug discovery process targeting SARS-related virus entry into the host cell.

Long-term outcomes of latissimus dorsi flap breast reconstructions: A single-centre observational cohort study with up to 12 years of follow up

INTRODUCTION

The Latissimus Dorsi Myocutaneous Flap (LDMF) is used in post-mastectomy reconstruction. This study has evaluated long-term (up to 12 years) surgical- and patient-reported outcomes from LDMF procedures.

METHOD

A retrospective analysis of consecutive LDMF procedures in two UK hospitals, performed between 2006 and 2016. Case notes were reviewed for indications and outcomes. Patients were sent the BREAST-Q^Ⓡ survey by post. Outcomes, including surgical adverse events, revision, and implant loss rates, were correlated with patient risk factors.

RESULTS

A BREAST-Q was posted to 199/248 LDMF patients in 2018, (excluding 49 patients due to death, reduced cognitive function and incorrect coding) of whom 77 patients responded (38.7%). In 188 cases (representing 208 LDMFs), surgical outcomes were assessable. Median time since LDMF surgery was 7 years (range 2-12). Rates of acute implant loss were 9/139 (6.4%), flap necrosis 7/208 (3.4%), shoulder stiffness 4/208 (1.9%), chronic pain 24/208 (11.5%) and unplanned revision surgery 13/208 (7%). Median satisfaction levels were high with 78% of patients satisfied with treatment outcomes, 65% of patients satisfied with their breasts, 71% of patients satisfied psychosocially and 75% of patients satisfied with their chest. Receipt of radiotherapy was not associated with a higher risk of flap necrosis or capsule formation.

CONCLUSION

Long-term follow-up of a large cohort of LDMF reconstruction patients show relatively low levels of adverse events and unplanned revision surgery and high patient satisfaction, which demonstrates how temporally robust the technique is. With the rise in popularity of acellular dermal matrix reconstructions, the LDMF has relatively fallen out of favour but its potential in primary and delayed reconstruction is demonstrated.

Multifunctional role of fucoidan, sulfated polysaccharides in human health and disease: A journey under the sea in pursuit of potent therapeutic agents

Fucoidan is a complex polysaccharide (molecular weight 10,000-100,000 Da) derived from brown algae which comprises of L-fucose and sulfate groups have potential as therapeutic diligences against several human diseases. The fucoidan has expanded a widespread range of pharmacological properties as an anti-inflammatory, anticoagulant, antiangiogenic, immunomodulatory, anti-adhesive, anticancer, antidiabetic, antiviral and anti-neurodegenerative agents owing to their diverse chemical conformation and potent antioxidant activity. The antioxidant and immunomodulatory activities of the fucoidan contribute towards their disease preventive potency through dynamic modulation of key intracellular signalling pathways, regulation of ROS accumulation, and maintenance of principal cell survival and death pathways. Additionally, it also reduces cancer-associated cachexia. Despite the wide range of therapeutic potency, the fucoidan is heavily regarded as an unexplored plethora of druggable entities in the current situation. The isolation, screening, biological application, pre-clinical, and clinical assessment along with large scale cost-effective production remain a foremost task to be assessed. Moreover, the chemical synthesis of the present bioactive drug with confirmational rearrangement for enhanced availability and bioactivity also need tenacious investigation. Hence, in the present review, we give attention to the source of isolation of fucoidan, their principle strategic deployment in disease prevention, and the mechanistic investigation of how it works to combat different diseases that can be used for future therapeutic intervention.

A novel toolkit for the prediction of clinical outcomes following mechanical thrombectomy

AIM

To develop a robust toolkit to aid decision-making for mechanical thrombectomy (MT) based on readily available patient variables that could accurately predict functional outcome following MT.

MATERIALS AND METHODS

Data from patients with anterior circulation stroke who underwent MT between October 2009 and January 2018 (n=239) were identified from our MT database. Patient explanatory variables were age, sex, National Institutes of Health Stroke Scale (NIHSS), Alberta Stroke Program Early CT Score (ASPECTS), collateral score, and Glasgow Coma Scale. Five models were developed from the data to predict five outcomes of interest: model 1: prediction of survival: modified Rankin Scale (mRS) of 0-5 (alive) or 6 (dead); model 2: prediction of good/poor outcome: mRS of 0-3 (good), or 4-6 (poor); model 3: prediction of good/poor outcome: mRS of 0-2 (good), or 3-6 (poor); model 4: prediction of mRS category: mRS of 0-2 (no disability), 3 (minor disability), 4-5 (severe disability) or 6 (dead); model 5: prediction of the exact mRs score (mRs as a continuous variable). The accuracy and discriminative power of each predictive model were tested.

RESULTS

Prediction of survival was 87% accurate (area under the curve [AUC] 0.89). Prediction of good/poor outcome was 91% accurate (AUC 0.94) for Model 2 and 95% accurate (AUC 0.98) for Model 3. Prediction of mRS category was 76% accurate, and increased to 98% using the "one-score-out rule". Prediction of the exact mRS value was accurate to an error of 0.89.

CONCLUSIONS

This novel toolkit provided accurate estimations of outcome for MT.

Cost-effectiveness of five versus ten years of alendronate treatment prior to drug holiday for women with osteoporosis

We performed a cost-effectiveness analysis comparing 5 versus 10 years of alendronate treatment prior to 5-year drug holiday for US postmenopausal women with hip BMD T-scores between - 2.5 and - 3.5. We found that for most postmenopausal women 5 years of treatment prior to drug holiday is the more effective and cost-effective option.

INTRODUCTION

We performed a cost-effectiveness analysis to compare 5 versus 10 years of alendronate treatment prior to 5-year drug holiday for postmenopausal osteoporotic women.

METHODS

We created an individual-level state-transition microsimulation model to compare 3 treatment strategies for US postmenopausal women with osteoporosis and femoral neck BMD T-scores between - 2.5 and - 3.5 at baseline: recurrent periods of 5 years of alendronate followed by 5 years of drug holiday (alendronate 5/5), recurrent periods of 10 years of alendronate followed by 5 years of drug holiday (alendronate 10/5), and no alendronate treatment.

RESULTS

Base-case analysis revealed for women initiating treatment at ages 50, 60, and 70, the alendronate 5/5 strategy dominated (was more effective and less costly than) the alendronate 10/5 strategy and no treatment. For women age 80, the alendronate 10/5 strategy dominated. When assuming a lower relative risk of nonvertebral fracture during years 6-10 of alendronate treatment than the base-case assumption, the alendronate 10/5 strategy became the most cost-effective strategy even at younger treatment initiation ages. Probabilistic sensitivity analysis results supported the base-case findings; for treatment initiation ages of 50, 60, and 70, the alendronate 5/5 strategy was favored, whereas for treatment initiation age of 80, the alendronate 10/5 strategy was favored; however, there was uncertainty in these findings.

CONCLUSIONS

After 5 years of alendronate treatment, younger postmenopausal women (ages 50-70) with osteoporosis would likely benefit from a drug holiday, whereas older women (age 80) are likely to benefit from treatment for 10 years before a drug holiday.