Present Scenario Research Articles

Biofunctional applications of Chitosan in Dentistry – An Overview

Chitosan due to its unique properties has attracted materials scientists globally to explore it for bio-dental applications. In dentistry, chitosan is also shown wide applications. The creation of effective biomaterials for the prevention and treatment of dental disorders is a challenge for researchers in the present scenario. The natural semi-synthetic polysaccharide based biomaterial Chitosan is obtained from the marine source chitin. Due to its peculiar characteristics, chitosan offers benefits in biomedicine and can be utilized in the development of capsules (micro and nanoparticles), powders, scaffolds, films, beads, hydrogels, and bandages. Chitosan offers its benefits as an anti-microbial agent, mucoadhesive, biomimetic mineralization Teeth hardening action due to its remineralizing property which leads to the search and focus of chitosan towards dental applications. Translation of research to clinical applications is better suited for chitosan in terms of its multifactorial activities. Therefore, this article provides an overview of chitosan, which mainly covers the basic information of chitosan, with a focus on different techniques of preparation of chitosan based formulations. It also explores the usage of chitosan in the treatment of various dental disorders.

Prediction of number of generations of serpentine leaf miner, <i>Liriomyza trifolii</i> (Burgess) (Agromyzidae: Diptera) in India assessed by CLIMEX under climate change scenario

The serpentine leaf miner, Liriomyza trifolii, is an invasive pest that affects plants, causing damage to the leaves and reducing crop yield. Number of generations of serpentine leaf miner was assessed under current and expected future climate change scenarios. The assessment was done for Representative Concentration Pathway (RCP 8.5) future climate change scenario in India. L. trifolii would have had 16-19 generations, in base line and 17-24 in 2050-time frame under future climate change in Andhra Pradesh conditions. Under Arunachal Pradesh conditions, it would have had 6-14 generations in base line and is expected to complete the same number of generations in 2050, scenario. Under Sikkim conditions 3 - 4 and 5 number of generations were assessed for present and future climate change scenario. Suitability of the localities was expressed in terms of Ecoclimatic index (EI) ranging from 0 to > 20 by combining the interaction effect of various stress indices and growth indices for the development of L. trifolii. It was observed that in temperate areas the pest incidence may increase in future, in contrast to the decreasing trend in areas where already the prevailing temperatures are near upper thresholds. It is therefore expected that number of generations of L. trifolii would increase with the rising temperatures under climate change situations.

Identification of Soybean Mosaic Virus Resistant Soybean Genotypes using Gene-Linked Markers

Soybean is widely consumed legumes both in the form of food and feed. In the present scenario, the quality and quantity of soybean production is largely affected by different biotic factors, Soybean Mosaic Virus being one of the major biotic stress. Plant host resistance is an effective major to develop durable resistance from viral diseases, therefore understanding the molecular mechanism and identifying the resistant genotypes can contribute to resistance breeding in soybean. In 2020, ninety genotypes collected from Grain Legume Research Program, local collection and National Agricultural Genetic Resource Center were screened for the presence of resistant genes using gene linked molecular markers. Among them, three genotypes were identified with Soybean Mosaic Virus resistant loci, Rsv1 amplified by linked marker Satt114, four genotypes were identified with resistant loci, Rsv3 with linked marker Sat_424, and eight genotypes were identified with resistant loci, Rsv4 amplified by linked marker Satt558. Thus, showing expression of dominant resistance to some SMV strains. Interestingly, two genotypes (Co 175 and TGx1990-55) possessed both Rsv1 and Rsv3 loci thus showing potential of resisting broad spectrum SMV resistance to all SMV strains. Therefore, this study has identified potential genotypes that can be used as parental materials for resistant gene pyramiding in soybean breeding for SMV resistance

Sports and Exercise Medicine: Present and Future

Sports and exercise medicine is a newly emerging medical speciality in association with sports and physical education. As the lifestyle of the average population has changed drastically with sedentary type and lack of physical exercise, thus, inviting various lifestyle-related diseases in society, this speciality has been gaining tremendous popularity in medical practices. This discipline is a combination of sports medicine and exercise medicine (therapy). Clinical and interventional physiology which is the resultant of these two components, plays an important role in injury management and for the promotion of health and wellbeing, devoid of any side effects. In the present editorial, with the objectives, an attempt has been made to discuss the present scenario of the discipline of sports and exercise medicine along with its future prospects, as in spite of its numerous benefits, not enough attention has been given to the holistic improvement of the healthcare system.

Monsters or Victims An Ecocritical Reading of Samson and Sally and Dot and the Whale, Retellings of Moby Dick

The paper aims to explore two animations, Samson and Sally (1984) and Dot and the Whale (1986), through the lens of zoocriticism (Huggan and Tiffin) and ecocinematic analysis to show how the directors have presented the alternative version of Herman Melville’s Moby Dick in order to showcase the crises of cetaceans like whale in the present scenario of the global warming, pollution and various anthropogenic damages. Unlike many popular Hollywood movies, these two animated films do not portray whales as monsters. In many popular Hollywood ventures, we can see the representations of vengeful bloodthirsty sea creatures like sharks and whales causing shipwrecks and killing humans, just like Moby Dick did in Melville. However, Samson and Sally and Dot and the Whale propose a different version of Moby Dick, where Moby Dick is portrayed as a saviour of the whale race under the threats of whaling, oil spills, and rising temperature. Samson and Sally is a bildungsroman as it depicts the journey of a young whale in search of the mythical Moby Dick who can only save his clan from whalers who have killed his mother and other relatives. Dot and the Whale, on the other hand, points such issues like the beaching of whales and their exploitation for oil and other resources. These two animations have presented an accurate picture where animals are not presented as monsters but rather victims of human greed. Although these animations are in the anthropomorphised version, they are created to raise human awareness to protect cetaceans and marine life.

To Evaluate Structured Competency-Based Curriculum for Health Programs among Community Medicine Postgraduates: Mixed Method Approach

Background: The postgraduate curriculum needs to be given a definite shape so as to make health programs more intensive and integrative. In the present scenario, most of the information is unclear and infrequent. A structured public health competency-based education is an important aspect to consider for integrative health care. Evaluate the structured competency-based curriculum (SCBC) prepared on health program matters. Methods: Mixed method model involving postgraduate students, faculties in community medicine departments of selected medical colleges and stakeholders from district administration. The SCBC was piloted and validated for use. The evaluation was then done based on pre- and posttest performance analysis, satisfaction survey, and questionnaires for reaction and learning components. Results: For a complete understanding of the program, students had to invest 52 hours of stipulated time. CBC assessment mean scores for a) problems in PHC and programmatic evaluation (78.9%) and b) identification of success and failure of programs (78.2%) were more than 75% mean score; whereas, assessment scores for topics on a) resource allocation and b) evaluation of program as write-up was 65% and 52%, respectively. As compared to the conventional method, the SCBC showed a critical evaluation score of 70% with a 0.001 significance level. Discussion and Conclusion: Students’ narratives were that they could understand as well as integrate them better on the field. There was enhanced satisfaction and encouragement. Structured curriculum will also help in making learning more student-centric and go a long way in boosting their creativity.

Quantum teleportation based on the elegant joint measurement

As a generalization of the well-known Bell state measurement (BSM), the elegant joint measurement (EJM) is a kind of novel two-qubit joint measurement, parameterized by a subtle phase factor θ∈[0,π/2]. We investigate here the quantum teleportation based on the EJM that conceptually goes beyond BSM. It is a probabilistic teleportation caused by nonunitary quantum evolution except for the special case of the BSM with θ=π/2. We show in detail the feasible quantum circuits to realize the present scenario, where a few unitary operations and a nonunitary quantum gate are being utilized. This work suggests that it is feasible to extend the customary (BSM-based) teleportation scenarios to the EJM-based ones, and different from the BSM being single input it may provide a continuously variable input setting or even multiple measurement settings for the sender of the quantum state.

Assessment of Carbon Stock and Sequestration Dynamics in Response to Land Use and Land Cover Changes in a Tropical Landscape

Quantitative analysis of LULC changes and their effects on carbon stock and sequestration is important for mitigating climate change. Therefore, this study examines carbon stock and sequestration in relation to LULC changes using the Land Change Modeler (LCM) and Ecosystem Services Modeler (ESM) in tropical dry deciduous forests of West Bengal, India. The LULC for 2006, 2014, and 2021 were classified using Google Earth Engine (GEE), while LULC changes and predictions were analyzed using LCM. Carbon stock and sequestration for present and future scenarios were estimated using ESM. The highest carbon was stored in forest land (124.167 Mg/ha), and storage outside the forest declined to 13.541 Mg/ha for agricultural land and 0–8.123 Mg/ha for other lands. Carbon stock and economic value decreased from 2006 to 2021, and are likely to decrease further in the future. Forest land is likely to contribute to 94% of future carbon loss in the study region, primarily due to its conversion into agricultural land. The implementation of multiple-species plantations, securing tenure rights, proper management practices, and the strengthening of forest-related policies can enhance carbon stock and sequestration. These spatial-temporal insights will aid in management strategies, and the methodology can be applied to broader contexts.

The present scenario of artificial intelligence and machine learning in financial services: An empirical study

The financial services industry is experiencing a swift adoption of artificial intelligence (AI) and machine learning for a variety of applications. These technologies can be employed by both public and private sector entities to ensure adherence to regulatory requirements, monitor activities, evaluate data accuracy, and identify instances of fraudulent behavior. The utilization of artificial intelligence (AI) and machine learning (ML) has the potential to provide novel and unforeseen manifestations of interconnectivity within financial markets and institutions. This can be represented by the adoption of previously disparate data sources by diverse institutions. The researchers employed convenience sampling as the sampling method. The form was filled out over the period spanning from July 2023 to February 2024, and it was designed to be both anonymous and accessible through online and offline platforms. To assess the reliability and validity of the measurement scales and evaluate the structural model, we employed Partial Least Squares (PLS) for model validation. Specifically, we have used the software package Smart-PLS 3 with a bootstrapping of 5000 samples to estimate the significance of the parameters. The results indicate a positive and direct connection between artificial intelligence (AI) and either financial services or financial institutions. On the contrary, machine learning (ML) exhibits a strong and positive association among financial services and financial institutions. Similarly, there exists a positive and direct connection between AI and investors, as well as between ML and investors.

Dust aerosol from the Aralkum Desert influences the radiation budget and atmospheric dynamics of Central Asia

Abstract. The Aralkum is a new desert created by the desiccation of the Aral Sea and is an efficient source of dust aerosol which perturbs the regional Central Asian radiation balance. COSMO–MUSCAT model simulations are used to quantify the direct radiative effects (DREs) of Aralkum dust, and investigate the associated perturbations to the atmospheric environment. Considering scenarios of “Past” (end of 20th century) and “Present” (beginning of 21st century) defined by differences in surface water coverage, it is found that in the Present scenario the simulated yearly mean net surface DRE across the Aralkum is −1.34 W m−2 with a standard deviation (±) of 6.19 W m−2, of which −0.15 ± 1.19 W m−2 comes from dust emitted by the Aralkum. In the atmosphere the yearly mean DRE is −0.62 ± 2.91 W m−2, of which −0.05 ± 0.51 W m−2 is from Aralkum dust: on the yearly timescale, Aralkum dust is cooling both at the surface and in the atmosphere, due to its optically scattering properties. The daytime surface cooling effect (solar zenith angle ≲ 70–80°) outweighs the nighttime heating effect and the atmospheric daytime (solar zenith angle ≲ 60–70°) heating and nighttime cooling effects. Instantaneous Aralkum dust DREs contribute up to −116 W m−2 of surface cooling and +54 W m−2 of atmospheric heating. Aralkum dust perturbs the surface pressure in the vicinity of the Aralkum by up to +0.76 Pa on the monthly timescale, implying a strengthening of the Siberian High in winter and a weakening of the Central Asian heat low in summer. These results highlight the impacts of anthropogenic lakebed dust on regional atmospheric environments.

A Review on Nanotechnological Approaches for the Management of Stored Insect-Pests: Present Scenario and Future Prospects

Approximately 10% to 30% of the stored agricultural produce is damaged out of which 26% is due to insect-pest infestation thus seriously impacting the food security. The infestation also leads to loss of quality and thereby affecting the overall profitability. In absence of enough storage space, usually farmers dispose-off their produce immediately after harvest and thus do not get remunerative prices. For those opting for storage, physical and chemical methods are in vogue to manage the storage insect-pests. Fumigation with chemical pesticides such as methyl bromide and aluminium phosphide is a common method, though it has its own health and environmental risks. Inhalation of phosphine gas released when aluminium phosphide is used could seriously affect human animal health, sometimes leading to deaths. Thus for using these fumigants, strict supervision of government recognized experts is required. Due to their wide usage, some insect-pests have developed resistance against these molecules. Nanotechnology has created numerous new opportunities in agriculture and allied sectors. Insecticide formulations based on nanotechnology could be a viable alternative to toxic chemicals like aluminium phosphide to manage storage insect-pests. In recent years, a variety of formulations including solid nanopesticides, controlled-release formulations, nano-emulsions, and nano-suspensions have been developed possessing different modes of actions and applications. Their small size is a significant advantage because it provides higher insect-body surface area coverage and thus enhanced efficacy as compared to traditional pesticides. Aside from their small size, they are reported to be safe for non-target beneficial organisms. Nano-pesticides can thus prove as effective and eco-friendly alternatives for insect pest control in storage. However, there is a need to establish their safety on the human and animal ecosystems to rule out their ecological hazards over time. In absence of such information, nanopesticides will not be widely accepted despite their other beneficial effects. In this article, an effort is made to review the current status of nano-formulations for the management of storage-insect-pests, the research and extension gaps and ways to bridge the gaps to ensure safe use of the technology for efficient management of postharvest storage losses.

Flash flood prediction modeling in the hilly regions of Southeastern Bangladesh: A machine learning attempt on present and future climate scenarios

Flash floods are highly destructive, and their frequency and intensity are expected to escalate due to climatic changes. This study thus investigated flash flood susceptibility (FFS) by applying machine learning algorithms and climate projection to predict both present and future hazard scenarios in the southeastern hilly regions of Bangladesh. To predict FFS, we evaluated twelve flood-influencing variables: elevation (EL), slope (SL), aspect (AS), drainage density (DD), distance to stream (DS), topography roughness index (TRI), stream power index (SPI), topographic wetness index (TWI), soil permeability (SP), precipitation (PR), land use and land cover (LULC) and normalized difference vegetation index (NDVI). Earth observation data, field surveys, and past flood records were used to create a detailed flood inventory. Among the machine learning models tested, the random forest (RF) algorithm outperformed others, including support vector machine (SVC), logistic regression (LR), and extreme gradient boosting (XGBoost), and was subsequently used for flood susceptibility mapping based on future precipitation projections under two Sixth Coupled model intercomparison project (CMIP6) climate change scenarios: SSP1-2.6 and SSP5-8.5. Our findings indicated that the areas at high to very high risk of flooding are projected to increase significantly under both the SSP1-2.6 and SSP5-8.5 scenarios. Initially, around 38 % of the studied region had high to very high flood susceptibility, but this is expected to rise to 40–42 % over the projected time periods. These spatial delineations of flood-prone areas can provide guidance for developing effective mitigation and adaptation strategies to address the adverse impacts of flash flooding in the hilly river basins of Bangladesh.

Park thermal comfort and cooling mechanisms in present and future climate scenarios

Extreme heat is Australia’s most perilous natural hazard, and increasing urban temperatures due to climate change are a growing concern. Consequently, there is growing interest in developing nature-based solutions (i.e., greenery and vegetated surfaces) to cool urban areas. Appropriately designed urban parks are anticipated to be crucial for maintaining thermal comfort as temperatures rise. The two main diurnal cooling mechanisms of urban parks are shade provision and vegetation transpiration. However, limited studies have examined the cooling performance of vegetation through transpiration, especially in the southern hemisphere. This study addresses this gap by examining the microclimatic conditions, cooling benefits, and thermal performance of a typical neighbourhood park in Perth, Western Australia, with a focus on the cooling performance of vegetation through shade and transpiration. Present and future microclimates were modelled and simulated for average and hottest summer days based on 25 years of local weather data and projections for 2090 under the Representative Concentration Pathway (RCP) 8.5 scenario. The findings reveal that trees provided diurnal cooling benefits for park users by lowering the Universal Thermal Comfort Index (UTCI) by up to 17°C, with this benefit persisting in projected 2090 conditions. This cooling benefit was predominantly achieved through shade provision, with marginal contributions from transpiration. Additionally, on hot days, as leaf temperature exceeded 30°C, increased stomatal resistance led to reduced transpiration. Therefore, more attention must be paid to transpiration cooling limits due to stomatal closure during hot hours to improve cooling performance in park design. Moreover, comparing different plant species’ behaviour and adaptability on hot days is crucial, especially in future climatic conditions.

Effect of Kappaphyscus alvarezii seaweed liquid extract on growth, yield and chemical constituents of Geranium (Pelargonium graveolens l’ Herit. ex Aiton)

The application of seaweed-based fertilizers is an important renewable resource and gaining considerable attention in the present scenario of agriculture and horticulture as organic nutrient input and growth promoters. The present study was conducted to examine the effect of seaweed liquid extract on growth, yield, and chemical constituents of the important aromatic plant geranium. The experiments were conducted in the CSIR-CIMAP, Research Center, Bengaluru (Karnataka, India) during the Rabi season of 2018–2019 and 2019–2020. The results of pooled data over two years revealed that application of Kappaphycus alvarezii seaweed liquid extract (KSWE) along with RDF at a concentration of 15% significantly improved the plant height (71.37 ± 0.69 cm), plant canopy (68.24 ± 1.60 cm), herb yield (42.71 ± 2.45 t ha−1year−1) and oil recovery (0.36 ± 0.02%) as compared over RDF. An account of 23.14% and 23.87% increase in herbage and essential oil yield was recorded over RDF. The functional relationship between herb and oil yield of geranium with different concentrations of seaweed extract applied at different crop stages was strongly correlated (r 2=0.97 and r 2=0.91, respectively). The chemical profile of essential oil reveals that higher amounts of linalool (7.5%) isomenthone (6.65%), geranial (1.29%), geranyl formate (3.81%), and the highest citronellol to geraniol (C:G ratio) ratio of 2.14 was noticed in the treatment which receives 15% KSWE along with RDF. The study clearly exhibits the notable benefits in the performance of geranium with the application of 15% of aqueous seaweed extract from Kappaphyscus alvarezii both in quantitative and qualitative terms.

Marker assisted selection and genome recovery for heat tolerance in segregants of rice (Oryza sativa L.)

Abstract In the present global warming scenario, it is urgent to impart heat tolerance into the popular high yielding rice (Oryza sativa L.) varieties to reduce yield loss to a great extent. Uma (a prevalent red-grained rice variety in Kerala) was crossed with Nagina 22 (N22), the popular donor for heat tolerance. From the seven promising heat-tolerant F3 plants previously identified through marker assisted selection and field screening, F4 lines (58 nos.) were raised and characterised morphologically. Heat tolerance was scored under natural heat stress during hot summer months in field conditions. Among the evaluated F4 progenies, 26 promising plants registered >75% spikelet fertility. Double panicles were observed in some of the tillers of fourteen F4 plants. During the selection with reported polymorphic markers between parents, all the 26 F4 plants produced the corresponding amplicon for RM5749 (linked marker for heat tolerance in the parental cross Uma x N22) and also for RM9, RM201, RM208, RM225, RM242, RM495, RM3586, RM6100, RM6836, and RM26212, corresponding to the heat tolerant parent N22. Genomic analysis revealed 64% recovery of the Uma genome in seven F4 plants, with maximum genomic regions of Uma on the chromosomes 3 and 5. These promising F4 plants could be forwarded to generate stable and high yielding heat tolerant rice varieties. The identified markers could be used for linkage analysis and QTL mapping in future. Keywords: Heat stress; Rice; spikelet fertility; SSR; QTL

Present Scenario and Future Landscape of Payloads for ADCs: Focus on DNA-Interacting Agents

ADCs have emerged as a promising class of therapeutics, combining the targeting specificity of monoclonal antibodies with the cytotoxic potency of small-molecule drugs. Although the majority of approved ADCs are still based on microtubule binder payloads, the recent success of topoisomerase I inhibitors has revitalized interest in the identification of novel agents overcoming present limitations in the field including narrow therapeutic window and chemoresistance. The success of DNA binders as payload for ADCs has been very limited, up to now, due, among other factors, to high hydrophobicity and planar chemical structures resulting in most cases in ADCs with a strong tendency to aggregate, poor plasma stability, and limited therapeutic index. Some of these molecules, however, continue to be of interest due to their favorable properties in terms of cytotoxic potency even in chemoresistant settings, bystander and immunogenic cell death effects, and known combinability with approved drugs. We critically evaluated several clinically tested ADCs containing DNA binders, focusing on payload physicochemical properties, cytotoxic potency, and obtained clinical results. Our analysis suggests that further exploration of certain chemical classes, specifically anthracyclines and duocarmycins, based on the optimization of physicochemical parameters, reduction of cytotoxic potency, and careful design of targeting molecules is warranted. This approach will possibly result in a novel generation of payloads overcoming the limitations of clinically validated ADCs.

Noise sensors - Part 1: Usage for the redesign of neighbourhoods

An interdisciplinary research project at the Stuttgart University of Applied Sciences with participation of the departments of urban planning, surveying and geoinformatics, business psychology and acoustics, present alternative urban scenarios. Different aspects for the redesign of the district, especially measures to reduce the individual motorised transport, were investigated. Virtual reality and augmented reality experiments are used in public spaces, to show redesign possibilities. Surveys of people, who had the experience of the future scenarios via the AR application and VR application, were carried out. Additionally, acoustical surveys and measurements in this research project were performed using so called noise sensors. These sensors based on MEMS microphones were developed for a simple and cost-effective measurement of external noise in a citizen sciences project. The measurement results of the noise sensors are saved online and can be accessed on the homepage "Sensor.Community". One of the noise sensors was used in the project area over a longer period. Measurement values were generated in third octave bands at intervals of 5 s and are available for further evaluations, e.g. for the calculation of indoor noise levels. The paper presents the research project and reports about the application of the noise sensor.

A stability-indicating method development and validation for the determination of related substances in novel synthetic decapeptide by HPLC.

In the present scenario, peptide is an emerging field of research having vast therapeutic applications. Diverse impurities may rise from various stages of the synthesis process and storage of the peptides. Because these contaminants may have an impact on the therapeutic safety and effectiveness of peptides in their approaching applications, they must be identified and carefully monitored. Considering the pharmaceutical importance of the extent of peptides, we were motivated to synthesize a decapeptide and establish a novel gradient reversed-phase high-performance liquid chromatography (RP-HPLC) method for its analysis along with efficient separation of its six related impurities. Different buffers, organic modifiers, and columns were used in the tests for good separation of these impurities. To establish a stability-indicating method, a stress study was also conducted. The International Conference on Harmonization (ICH) guidelines have been followed for validation of the developed analytical method. The validated method revealed sufficient accuracy, specificity, linearity, robustness, precision, and high sensitivity for its intended use. The proposed method could be appropriate for routine analysis and stability assessment of the decapeptide, which might be useful for further scientific investigation.

Evaluation of Tribological Properties of Different Coatings on Automotive Piston Rings: A Review

Friction and wear play crucial roles in automotive engine performances and their efficiency. Overall, 40% of fuel power loss occurs in friction of various components of the engine. Frictional loss between piston rings and cylinder liner assembly contributes major loss of fuel power in the automotive engine and it is about 15% of total fuel power loss occurs due to friction. In the present scenario, thin film coating techniques are in trend to enhance the mechanical and tribological properties of machine components. In this paper, different types of wear-resistant, corrosion-resistant, and antifriction coating materials and their characteristics are discussed. Also, carbon-based coatings, nitride coating, carbide coating, oxide coating, and the intermixing of counterparts of coating material to form a composite coating, multilayer coating, and varying their percentage elemental composition composite are reviewed and compared. The synergistic effect of coating with texturing over the piston ring is discussed. Finally, recent developments and new possibilities of coatings that can be employed on piston rings are briefly discussed.

Overview of the therapeutic efficacy of marine fish oil in managing obesity and associated metabolic disorders.

In the present scenario, obesity is a challenging health problem and its prevalence along with comorbidities are on the rise around the world. Ingestion of fish becomes trendy in daily meals. Recent research has shown that marine fish oil (FO) (found in tuna, sardines, and mackerel) may offer an alternative method for reducing obesity and problems associated with it. Marine FO rich in long-chain omega-3 polyunsaturated fatty acids (LC n-3 PUFA) and long-chain omega-6 polyunsaturated fatty acids (LC n-6 PUFA) plays an important role in reducing abnormalities associated with the metabolic syndrome and has a variety of disease-fighting properties, including cardioprotective activity, anti-atherosclerotic, anti-obesity, anti-cancer, anti-inflammatory activity. Studies in rodents and humans have indicated that LC n-3 PUFA potentially elicit a number of effects which might be useful for reducing obesity, including suppression of appetite, improvements in circulation, enhanced fat oxidation, energy expenditure, and reduced fat deposition. This review discusses the interplay between inflammation and obesity, and their subsequent regulation via the beneficial role of marine FO, suggesting an alternative dietary strategy to ameliorate obesity and obesity-associated chronic diseases.