Medical Food Research Articles

Machine learning for reducing noise in RF control signals at industrial accelerators

Industrial particle accelerators typically operate in dirtier environments than research accelerators, leading to increased noise in RF and electronic systems. Furthermore, given that industrial accelerators are mass produced, less attention is given to optimizing the performance of individual systems. As a result, industrial accelerators tend to underperform their own hardware capabilities. Improving signal processing for these machines will improve cost and time margins for deployment, helping to meet the growing demand for accelerators for medical sterilization, food irradiation, cancer treatment, and imaging. Our work focuses on using machine learning techniques to reduce noise in RF signals used for pulse-to-pulse feedback in industrial accelerators. Here we review our algorithms and observed results for simulated RF systems, and discuss next steps with the ultimate goal of deployment on industrial systems.

Assessment of Lacto-N-tetraose (LNT) as a Novel Food for Use in Food and Food Supplements (RP2101)

Chr. Hansen, Denmark (“the applicant”) submitted a novel food application for the authorisation of lacto-N-tetraose (LNT) as a novel food to each nation of Great Britain in September 2023. The novel food is intended to be used as a source of human identical milk oligosaccharide, LNT, and is manufactured by microbial fermentation using a genetically modified strain of Escherichia coli BL21 (DE3), and then refined to yield the purified powder. This new application is seeking to use the novel food within the following food categories: food for special medical purposes and food supplements for the general population including those for vulnerable groups (pregnant and breastfeeding women, and the elderly); food for infants and young children including infant formula and follow-on formula. Food supplements are not intended to be used if other foods with added LNT or breast milk are consumed the same day. This novel food had its application for authorisation assessed by the European Food Safety Authority (EFSA) which was published in March 2022. The Food Standards Agency (FSA) and Food Standards Scotland (FSS) have reviewed the information available, including the EFSA opinion, and confirmed that LNT is safe under the proposed conditions of use. The anticipated intake levels and proposed use in food and food supplements was not considered to be nutritionally disadvantageous. This safety assessment represents the opinion of the FSA and FSS.

Assessment of 3-Fucosyllactose (3-FL) as a Novel Food for Use in Food and Food Supplements (RP2106)

Chr. Hansen, Denmark (“the applicant”) submitted a novel food application for the authorisation of 3-fucosyllactose (3-FL) as a novel food to each nation of Great Britain in September 2023. The novel food is intended to be used as a source of human identical milk oligosaccharide, 3-FL, and is manufactured by microbial fermentation using a genetically modified strain of Escherichia coli BL21 (DE3), and then refined to yield the purified powder. This new application is seeking to use the novel food within the following food categories: food for special medical purposes and food supplements for the general population including those for vulnerable groups (pregnant and breastfeeding women, and the elderly); food for infants and young children including infant formula and follow-on formula. Food supplements are not intended to be used if other foods with added 3-FL or breast milk are consumed the same day. This novel food had its application for authorisation assessed by the European Food Safety Authority (EFSA) which was published in May 2022. The Food Standards Agency (FSA) and Food Standards Scotland (FSS) have reviewed the information available, including the EFSA opinion, and confirmed that 3-FL was safe under the proposed conditions of use. The anticipated intake levels and proposed use in food and food supplements was not considered to be nutritionally disadvantageous. This safety assessment represents the opinion of the FSA and FSS.

Nutrition in phenylketonuria

Phenylketonuria (PKU) is a genetic metabolic disease resulting from a deficiency in the enzyme phenylalanine hydroxylase. This defect prevents the conversion of phenylalanine to tyrosine, and as a result, the level of phenylalanine in the body increases abnormally. The accumulation of this amino acid may cause brain damage and grows development in these patients.The primary approach to treating the disease involves dietary management that restricts protein and phenylalanine intake, often alongside Tetrahydrobiopterin (BH4) supplementation. Medical foods specifically formulated for these patients are utilized to supply the necessary energy, protein, and tyrosine. Other treatment options, including the use of large neutral amino acids (LNAAs) and the enzyme Phenylalanine ammonia lyase (PAL), can be utilized to manage symptoms in adult patients. Advancements in gene therapy aimed at correcting defective genes in patients may help restore phenylalanine metabolism, though further research in this area is necessary. Effective personal management of phenylketonuria necessitates enhanced knowledge and collaboration among healthcare professionals to achieve optimal treatment outcomes for patients. This article emphasis the nutritional management of individuals with phenylketonuria across various stages of their lives.

Comparative hepatoprotective effects of flavonoids-rich fractions from flowers and leaves of Penthorum chinense Pursh in vitro

Ethnopharmacological relevancePenthorum chinense Pursh is a traditional Miao ethnomedicine rich in bioactive components, widely recognized for its hepatoprotective properties. However, the hepatoprotective effects of its flowers and leaves have not been individually elucidated. Aims of the studyThe objective of this study was to isolate and purify flavonoids-rich fractions from the flowers (PFF) and leaves (PLF) of P. chinense, and to assess their potential protective effects against oxidative, alcohol-induced, and free fatty acid (FFA) induced injury in hepatic cells. Materials and methodsThe P. chinense flowers and leaves flavonoids-rich fractions were extracted by the method optimized by response surface methodology, and the extracts were subsequently purified using petroleum ether and microporous column. The physical characteristics and component composition of PFF and PLF were analyzed by FT-IR and UPLC-MS/MS. The hepatoprotective activities of PFF and PLF were evaluated by the alcohol, H2O2, and FFA-induced hepatocyte injury cellular model in vitro. The protective effects of PFF and PLF on the hepatic cells were evaluated by assessing cell apoptosis rate, enzymes activities, mitochondrial membrane potential, and mRNA expression in relevant signaling pathways. ResultsThe results revealed that PFF was mainly composed of pinocembrin, quercitrin and quercetin, while PLF was predominantly composed of quercetin, pinocembrin, and kaempferol and their derivatives. PFF and PLF exhibited distinct effects on increasing the cell proliferation rate, regulating the MDA, GOT and GPT levels, and modulating the mRNA expression in apoptosis and antioxidant pathways in alcohol damaged LO2 cells. PFF exhibited superior efficacy in reducing cell apoptosis in alcohol-damage cells compared to PLF. Both PFF and PLF alleviated mitochondrial stress in H2O2-induced LO2 cells. Additionally, the PFF and PLF attenuated lipid accumulation and activated mRNA expressions in PPARα/ACOX1/CPT-1 lipid metabolism pathways, as well as Nrf2/ARE oxidative stress pathways. ConclusionThis study compared the hepatoprotective activities of flavonoids-rich fractions purified from the flowers and leaves of P. chinense. The results contribute to the enhanced development and utilization of various parts of P. chinense aimed at medical and health food applications.

Bacterial Binding to Polydopamine-Coated Magnetic Nanoparticles.

In medical infections such as blood sepsis and in food quality control, fast and accurate bacteria analysis is required. Using magnetic nanoparticles (MNPs) for bacterial capture and concentration is very promising for rapid analysis. When MNPs are functionalized with the proper surface chemistry, they have the ability to bind to bacteria and aid in the removal and concentration of bacteria from a sample for further analysis. This study introduces a novel approach for bacterial concentration using polydopamine (pDA), a highly adhesive polymer often purported to create antibacterial and antibiofouling coatings on medical devices. Although pDA has been generally studied for its ability to coat surfaces and reduce biofilm growth, we have found that when coated on magnetic nanoclusters (MNCs), more specifically iron oxide nanoclusters, it effectively binds to and can remove from suspension some types of bacteria. This study investigated the binding of pDA-coated MNCs (pDA-MNCs) to various Gram-negative and Gram-positive bacteria, including Staphylococcus aureus, Staphylococcus epidermidis, Pseudomonas aeruginosa, and several E. coli strains. MNCs were successfully coated with pDA, and these functionalized MNCs bound a wide variety of bacterial strains. The efficiency of removing bacteria from a suspension can range from 0.99 for S. aureus to 0.01 for an E. coli strain. Such strong capture and differential capture have important applications in collecting bacteria from dilute samples found in medical diagnostics, food and water quality monitoring, and other industries.

Thread-Based Bienzymatic Biosensor for Linoleic Acid Detection.

The concentration of nonesterified fatty acids (NEFAs) in biological media is associated with metabolic and cardiovascular disorders (e.g., diabetes, cancer, and cystic fibrosis) and in food products is indicative of their quality. Therefore, the early identification of NEFAs is crucial for both medical diagnosis and food quality assessment. However, the development of a portable and scalable sensor capable of detecting these compounds at a low cost presents challenges due to their considerable chemical and physical stability. This research endeavors to illustrate the viability of detecting linoleic acid using a chemiresistive bienzymatic sensor constructed with cotton thread. The sensor's design incorporates the conductive polymer poly(3,4-ethylenedioxythiophene):polystyrenesulfonate (PEDOT:PSS) within the thread, alongside the enzymes horseradish peroxidase (HRP) and lipoxygenase (LOX). By implementing this technology, a sensitive detection range spanning from 161 nM to 16.1 μM is achieved when the PEDOT:PSS/HRP/LOX system is integrated into a single thread. The sensor exhibits exceptional selectivity toward linoleic acid, owing to the specific enzymatic reaction between LOX and linoleic acid. This selectivity is upheld even in the presence of other unsaturated fatty acids. This system can be used for future designs with the capability to detect polyunsaturated fatty acids and other intricate biomolecules.

Fast detection of humidity sensor with a weakly coupled fiber coated with carbomer

Humidity, as one of the basic environmental physical quantities, is essential in medical monitoring, food production and pharmaceutical industries.Fast and highly sensitive humidity sensing technology has become an urgent need in areas such as medical monitoring. We proposed and realized a novel coupled fiber-optic humidity sensor based on double tapered fiber twisted weakly coupled structure coated with carbomer film. The sensor adopts 2 × 2 coupler structure with waist diameter of 10 μm. The Carbomer film is coated in the weakly coupled area to improve the sensitivity of the sensor, and the thickness of this coating is about 79.2 nm. The sensor provides linear sensing over a relative humidity range of 40%–65% RH, with a dynamic response time of 208 ms and a recovery time of 464 ms. The sensitivity of the sensor is up to −0.28 dB/%RH and the linearity of the sensor is as high as 99.89%. Moreover, the sensor has good stability, reversibility, and low temperature crosstalk. Based on these characteristics, it can be expected that the sensor will bring a great breakthrough in applications where sensitive monitoring of humidity is required.

Haematococcus pluvialis meets gellan gum: Rheological and thermal exploration of a new resource food and biomedical gel matrix.

The increasing interest in hydrogel matrices and their diverse applications has fueled extensive research. However, single-component gels have a limited adjustable performance range, and multi-component gels raise concerns about biological safety, hindering their widespread use. This study focuses on harnessing high-speed shearing and ultrasound-assisted methods to incorporate active natural Haematococcus pluvialis (HP), creating novel composite hydrogels in conjunction with biological macromolecule gellan gum, and eliminating the need for structural modifications or chemical crosslinking. Rich astaxanthin, proteins, polysaccharides, and other components in HP can fill and promote the formation of a unified functional network. The study aims to explore the potential of HP as a rheology regulator and investigate its impact on the rheological properties of the gels. Various rheological models, including Power-Law, Herschel-Bulkley, and Arrhenius, were employed for comparative analysis. This pioneering report on gellan/HP hydrogels holds significant importance as they exhibit optimized elasticity, thermal stability, enhanced injectability, and self-recovery, making them suitable for a wide range of applications in specialized medical food and biomedicine.

Development and performance evaluation of a thin GAGG:Ce scintillator plate for high resolution synchrotron radiation X-ray imaging

Scintillator-based X-ray imaging detectors are pivotal in numerous scientific and practical domains, including medical imaging, food and device inspection, and security monitoring. Recent advancements have spurred interest in 4D X-ray imaging using synchrotron radiation, necessitating higher temporal resolutions. Consequently, this places stringent demands on X-ray detector technology, especially when X-ray energy exceeds 20 keV. The selection of a suitable scintillator material is crucial for achieving optimal timing resolution, yet it poses a significant challenge in dynamic X-ray imaging. This study delves into the optimization of scintillator properties and their impact on spatial resolution and light output, elucidating the performance of Ce-doped Gd3Ga3Al2O12 (GAGG:Ce) scintillators for X-ray imaging applications. We developed a micro X-ray imaging detector using a 100 μm-thick GAGG:Ce scintillator plate and conducted X-ray imaging tests at the Aichi SR facility. The results demonstrated that the resolution, quantified as the chart slit width at a contrast transfer function (CTF) value of 10%, reached 2 ∼ 3 μm with a 4× lens, 0.52 μm± 0.03 μm with a 20× lens, and 0.42 μm± 0.01 μm with a 40× lens. Although the results of this study did not achieve a spatial resolution nearing the effective pixel size of the 40× lens, the text also elucidates the underlying reasons for this limitation. Furthermore, we compared the X-ray sensitivity of our GAGG:Ce scintillator plate with that of a commercial LuAG:Ce scintillator, revealing an approximately 1.5-fold increase in light output. As a demonstration, transmission images of dried small fish were captured using the GAGG:Ce scintillator plate and the developed X-ray imaging system. These findings highlight the potential of the X-ray imaging detector devised in this study for future generations of X-ray imaging applications.

Explore the mechanism of mulberry leaf combined with gut microbiota to improve hyperlipidemia based on network pharmacology

PurposeTo elucidate the underlying mechanisms by which mulberry leaves, in conjunction with gut microbiota, ameliorate hyperlipidemia and identify key gut microbial taxa involved, a mulberry leaf/gut microbiota-active components-metabolites-target-pathway network was constructed.MethodologyInformation on active constituents of mulberry leaves, metabolites generated by gut microbiota, and target proteins associated with hyperlipidemia were retrieved from multiple databases. Employing bioinformatics tools, relevant pathways and targets involved in the synergistic effect of mulberry leaves and gut microbiota on hyperlipidemia improvement were systematically analyzed. Through multi-level data analysis and integration of existing knowledge on the interplay between mulberry leaves, gut microbiota, and hyperlipidemia, the atherosclerosis signaling pathway was identified as the central pathway, with AKT1 as the core target protein. Based on metabolites produced by gut microbiota that act on AKT1, 29 specific gut microbial strains were found to exhibit synergistic action within the context of mulberry leaf-mediated hyperlipidemia alleviation. This culminated in the establishment of a comprehensive mulberry leaf/gut microbiota-active components-metabolites-target-pathway network. Moreover, molecular docking and visualization analyses demonstrated stable interactions between the selected gut microbiota-derived metabolites and the central target AKT1.ConclusionThese findings provide a robust scientific basis for the application of mulberry leaf-based formulations combined with probiotics in the development of specialized medical foods targeting hyperlipidemia, grounded in the elucidated molecular mechanisms and identified key gut microbial players.

Expedited program and utilization for anticancer drug approval in China and the United States

Objective: To systematically summarize and comparatively analyze the development, establishment and usage of oncology drugs speedy review approaches in China and in the United States between 2012 and 2021. Methods: Based on National Medical Products Administration (NMPA) and Food and Drug Administration (FDA) websites, the development and current status of the speedy review approaches were consulted and summarized. Approved oncology drugs in China and in the United States (87 in China, 118 in the United States) over the past decade were analyzed using chi-square test for group comparison. Results: Five speedy approaches have been established in China and in the United States, three of which are the same, priority review, conditional approval or accelerated approval and breakthrough therapy. The rest two are special review and approval, special examination and approval in China, and fast track and real-time oncology review in the United States. Compared to the United States, speedy review approaches in China set up late (1992 vs. 2005). The overall utilization rates of the oncology drugs speedy review approaches were similar between the China and United States (90.8% vs. 92.4%, P=0.800) in the previous 10 years, and priority review have highest utilization rates in both China and the United States without significant group difference (77.0% vs. 82.2%, P=0.381); relatively low utilization rates of conditional approval (31.0% vs. 44.9%, P=0.041) and breakthrough therapy (2.3% vs. 50.0%, P＜0.001) were seen in China. 52.9% of new drugs applied for special examination and approval in China and 40.7% of new drugs applied for fast track in the United States. Overall, the priority review both in China and the United States are stable, with a similar average annual utilization rate (84.8% vs. 83.7%); accelerated approval and breakthrough therapies in the United States fluctuate wildly, but the situation is tending towards stability in the last 3 years. Conclusions: Both China and the United States have established a relatively complete accelerated review system, with an overall utilization rate over 90%; China's accelerated review started late, although the overall utilization rate is close to that of the United States. The utilization rates of conditional approval and breakthrough therapy are still relatively low. Flexible usage of speedy review approaches, gaining regulatory recognition to use alternative endpoints, achieving real-time review and guidance are keys to accelerate new drug development in China.

Comparing regulatory guidance on risk minimization/mitigation and the Reporting recommendation Intended for pharmaceutical Risk Minimization Evaluation Studies checklist.

The latest country-specific regulatory guidance for assessing effectiveness of risk minimization measures (RMM) strategies was identified across five continents-Africa (Egypt, South Africa), Asia (Australia, China, Japan, South Korea, Singapore), Europe (EU-27, United Kingdom), North America (Unites States, Canada) and South America (Brazil)-and compared to the Reporting recommendation Intended for pharmaceutical Risk Minimization Evaluation Studies (RIMES) checklist, developed to assess the quality of effectiveness evaluations and endorsed by the European Network of Centres for Pharmacoepidemiology and Pharmacovigilance (ENCePP). RIMES checklist items address study hypothesis, participants, measures, statistical analysis and results. European Medical Agency (EMA) and Food and Drug Administration (FDA) guidance only partially aligned with RIMES, primarily for measures and results. In the absence of country-specific guidance, most countries recommended following EMA or FDA guidelines; Japan and South Africa mentioned the International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use (ICH E2E) guideline; Brazil and China had no guidance/recommendations. Worldwide, there was a lack of RMM-specific guidance and, when guidance existed, they were not harmonized, and alignment with the RIMES checklist was limited.

Effectiveness and safety of Arecae Semen compounds for patients with depression: a systematic review and meta-analysis

BackgroundArecae Semen is a traditional herbal medicine widely used in the medical service and food industry, but in recent years, the carcinogenesis of edible Arecae Semen chewing has aroused comprehensive attention, therefore it is necessary to evaluate its medicinal properties. Increasing evidence has shown that Arecae Semen Compounds (ASC) possess antidepressant ability. This study aimed to evaluate the effectiveness and safety of ASC in the treatment of depression.MethodsWe retrieved articles in eight databases from their inception to May 2024. Randomized controlled trials (RCTs) comparing the effects of ASC alone or combined with routine treatment in patients with depression were identified. The Cochrane risk of bias (ROB) tool (ROB 2) was used for assessing the ROB in the included trials. Grading of Recommendations Assessment, Development, and Evaluation (GRADE) was used to assess the certainty of the evidence for the review outcomes. The outcomes included Hamilton depression rating scale (HAMD) scores, depression-related symptoms, serum dopamine levels, and adverse events. Stata 14.0 was used for data analysis calculating standardized mean difference (SMD) for continuous outcomes and relative risk (RR) for binary outcomes, both with 95% confidence intervals (CI).ResultsNine RCTs involving 787 patients were included in this review. ASC lowered HAMD scores (SMD − 3.43, 95% CI − 5.24 to − 1.61; I2 = 95.2%, P < 0.001), alleviated depression-related symptoms, increased serum dopamine levels, and reduced the incidence of adverse events slightly (RR 0.18, 95% CI 0.04 to 0.77; I2 = 0, P = 0.775) compared with the control group. Publication bias might account for the asymmetrical presentation of funnel plots. Meta-regression analysis revealed that regarding HAMD scores, there was no significant relationship with duration, sample size, or treatment strategy. The evidence of the outcomes was of very low certainty.ConclusionsASC may achieve better therapeutic effects, alleviate depression-related symptoms with a lower incidence of adverse events, and provide a potentially effective and safe complementary therapy for patients with depression. However, the evidence is very uncertain so further researches are required to validate our results and explore clinical implications of Arecae Semen in depth.Systematic review registrationPROSPERO CRD42022361150.

Double-formant PCF-SPR refractive index sensor with ultra-high double-peak-shift sensitivity and a wide detection range

A dual-resonance-peak photonic crystal fiber–surface plasmon resonance (PCF-SPR) refractive index (RI) sensor is designed for different wavelength ranges. The first resonance peak of the sensor is distributed in the wavelength range of 700–2350 nm, while the second peak is distributed in the range of 2350–5550 nm. In addition to detecting analytes using the full spectrum of constraint losses (CLs), it is also possible to use a single resonance peak to achieve the detection of analytes. By systematically optimizing the nanowire diameter, the diameter of the inner and outer layer air hole, the width of the groove, the polishing depth, and the distance from the outer layer air hole to the fiber core, the optimal structure of the sensor is finally determined. In this study, the sensor was studied by numerical analysis, and the characteristics of the sensor were evaluated by wavelength detection technology. The results show that within the RI range of 1.24–1.37, the sensor has a maximum wavelength sensitivity (WS) of 54700 nm/RIU for detecting the RI of analytes. Within the above refractive index range, the regression coefficient R2 of the dual-peak-resonance wavelength is 0.99993, ensuring the accuracy of the estimated resonance wavelength of the sensor. In addition, the sensor can also use dual-peak-shift sensitivity (DPSS) to detect the refractive index, which is a relatively new sensing technology. The maximum DPSS of the sensor is 95300 nm/RIU. Due to its high sensitivity and unique dual-peak characteristics, this sensor has wide application prospects in medical diagnosis, environmental monitoring, food safety, and other fields.

Medical Foods for the management of Chronic Illness and their Regulations in India, US and European Union

As many chronic illnesses are incurable and require repeated treatments, this problem contributes to long-term drug use. But when it comes to managing and treating chronic illnesses, medical foods can provide an alternative to natural medications. Medical foods are foods that have been particularly prepared to meet the unique dietary needs of people with specific illnesses. When it comes to therapeutic applications such as deglutition, dyspepsia, or eating disorders, they are crucial in providing patients with nutritional support. In addition, they significantly improve patients' quality of life by lowering drug use, averting problems that could result from an excessive reliance on pharmaceuticals, and saving treatment costs. Depending on the illness, medical foods' nutritional content can be adjusted and customized. They are exempt from laws pertaining to drugs since they are not drugs. Every medical food is created especially for the chronic condition in question. As a result, the purpose of this review is to clarify the use of medical foods for conditions such as Parkinson's, Alzheimer's, anxiety and sleep disorders, pain syndrome, cancer, congenital metabolic disorders, and diabetes mellitus, and to suggest their use as a dietary supplement for these long-term illnesses.

Optical Image Sensors for Smart Analytical Chemiluminescence Biosensors.

Optical biosensors have emerged as a powerful tool in analytical biochemistry, offering high sensitivity and specificity in the detection of various biomolecules. This article explores the advancements in the integration of optical biosensors with microfluidic technologies, creating lab-on-a-chip (LOC) platforms that enable rapid, efficient, and miniaturized analysis at the point of need. These LOC platforms leverage optical phenomena such as chemiluminescence and electrochemiluminescence to achieve real-time detection and quantification of analytes, making them ideal for applications in medical diagnostics, environmental monitoring, and food safety. Various optical detectors used for detecting chemiluminescence are reviewed, including single-point detectors such as photomultiplier tubes (PMT) and avalanche photodiodes (APD), and pixelated detectors such as charge-coupled devices (CCD) and complementary metal-oxide-semiconductor (CMOS) sensors. A significant advancement discussed in this review is the integration of optical biosensors with pixelated image sensors, particularly CMOS image sensors. These sensors provide numerous advantages over traditional single-point detectors, including high-resolution imaging, spatially resolved measurements, and the ability to simultaneously detect multiple analytes. Their compact size, low power consumption, and cost-effectiveness further enhance their suitability for portable and point-of-care diagnostic devices. In the future, the integration of machine learning algorithms with these technologies promises to enhance data analysis and interpretation, driving the development of more sophisticated, efficient, and accessible diagnostic tools for diverse applications.

Study on gastric digestion behavior of phytase-treated soybean protein: A semi-dynamic digestion method

The digestive characteristics of plant proteins are crucial for their nutritional value and utilization efficiency. In this study, an in vitro semi-dynamic digestion model was employed to investigate the gastric digestion process of soybean protein after treatment with phytase. The results found that phytase treatment reduced the phytate content in soybean proteins (22.83 ± 0.09 to 8.72 ± 0.07 mg/g), shifted its isoelectric point towards the alkaline range by 1 pH unit, and significantly improved its solubility at pH 4.0. Particularly for protein sample treated with phytase after acid precipitation, the formation of aggregates during digestion was weakened, resulting in a significantly higher digestion rate compared to untreated SPI, with digestion being at least 15 min faster than SPI. This study provides a strategy for preparing soybean protein with faster digestion and weaker clot-forming ability during digestion, which offers insights for the application of soybean protein in clinical nutrition products and specialized medical foods.

Omega-3 polyunsaturated fatty acids, especially DHA and EPA, remold gut microbiota to suppress inflammation in rabbits with atherosclerosis

Atherosclerosis (AS) caused by a high-fat diet becomes a critical cause of cardiovascular diseases, which has been regarded as an urgent public health problem. Omega-3 polyunsaturated fatty acids (omega-3 PUFAs) have many beneficial effects on human health. However, in recent years, the critical role of gut microbiota in atherosclerosis has been gradually proposed, and the impact of omega-3 PUFAs on cardiovascular diseases via gut microbiota in rabbits remains unknown. Likewise, the role of omega-3 PUFAs in regulating endothelial lesions, visceral injury, and vascular inflammation caused by high-fat diet-induced trimethylamine-nitrogen oxide (TMAO) has not been reported. Here, we investigated the effects of omega-3 PUFAs administered orally on atherosclerosis via an atherosclerotic rabbit model induced by a high-fat diet. The results showed that omega-3 PUFAs obtained from deep-sea fish oil can alleviate high-fat diet-induced atherosclerosis by inhibiting the increase of plasma TMAO and the formation of liver foam cells, reducing inflammatory factors, fat deposition, and plasma lipid levels and suppressing organ damage. Furthermore, gut microbiota disrupted by a high-fat diet were remodeled in rabbits treated with omega-3 PUFAs. These results further confirm that omega-3 PUFAs are promising nutritional and medical health foods that can be supplemented daily to prevent cardiovascular diseases.

공급이 제한된 필수 자원의 공정성을 고려한 분배 방법 연구

This study addresses methods for efficiently and equitably distributing limited essential resources in crisis situations such as pandemics and climate change. In these scenarios, it is crucial to consider public welfare alongside efficiency when distributing scarce resources like medical supplies or food. This study introduces a fairness measure based on the Gini coefficient, grounded in utility, and employs a bi-objective optimization model to balance efficiency and fairness. The proposed distribution method is validated through a simulation model. The effects of various policy scenarios are compared and analyzed. Through the simulation experiments, the study demonstrated that distribution policies considering the elderly population ratio and equity are effective in achieving both efficiency and fairness in resource allocation. These findings provide practical approaches for policymakers, helping them make better decisions during emergencies with limited supply.