#Metabolomics Normalization

[iroatechnologies]

Buy Metabolomics Internal Standards | IROA Technologies

Buy Metabolomics Internal Standards from IROA Technologies to achieve precise, reproducible results in your LC-MS and GC-MS workflows. Our isotopically labeled standards are designed for accurate normalization, quantification, and metabolite identification—ensuring high-quality data across all metabolomics applications.

[ambioinformatics]

Unlocking Insights with Omics Data Solutions

In today’s era of precision medicine and advanced biological research, the sheer volume of data generated from various high-throughput technologies demands expert interpretation. Among the most powerful analytical tools are proteomics and multi-omics platforms, which provide researchers with the ability to decode biological systems at an unprecedented depth. Through Protemics data analysis services and multi-omics data integration services, research institutions and biotech companies can harness the full potential of their datasets to drive breakthroughs in healthcare, agriculture, and beyond.

The Role of Proteomics in Biomedical Research

Proteomics refers to the large-scale study of proteins, the fundamental molecules responsible for structure, function, and regulation within organisms. Understanding the proteome—the entire set of proteins expressed by a genome—can offer insights into disease mechanisms, drug responses, and cellular processes. However, raw proteomics data obtained from mass spectrometry or other platforms is complex and requires sophisticated computational tools for analysis.

This is where professional proteomics data analysis services become invaluable. These services employ bioinformatics pipelines, machine learning algorithms, and statistical modeling to identify differentially expressed proteins, annotate biological functions, and map protein-protein interactions. With the help of such services, researchers can accelerate biomarker discovery, validate therapeutic targets, and uncover hidden biological patterns that would otherwise remain elusive.

Integrating Data Across Omics Layers

While proteomics is essential, it represents just one layer of the biological puzzle. Genomics, transcriptomics, metabolomics, and epigenomics each offer unique insights into how living systems operate. To get a complete understanding, it is crucial to integrate these diverse data streams. This is the core principle of Multi omics data integration services.

Multi-omics approaches combine data from multiple omics platforms to build a holistic picture of biological function. This comprehensive analysis enables a deeper understanding of disease progression, gene regulation, and personalized medicine. By merging transcriptomic and proteomic data, for example, researchers can correlate gene expression with protein abundance, gaining more reliable insights than either dataset could provide on its own.

Advanced multi-omics data integration services utilize robust computational frameworks to align, normalize, and analyze heterogeneous datasets. They can reveal regulatory networks, uncover metabolic pathways, and facilitate systems biology studies that are critical for both academic research and clinical applications.

Applications Across Research and Industry

Proteomics and multi-omics data analysis are not confined to laboratories. These services have found applications in pharmaceutical development, clinical diagnostics, agricultural genomics, and environmental studies. In drug discovery, for instance, integrated omics analysis helps identify molecular signatures of diseases and predict drug responses. In agriculture, these approaches support crop improvement and stress resistance studies by uncovering gene-protein-environment interactions.

Moreover, the rise of personalized medicine depends heavily on multi-omics integration. Each patient’s genomic, proteomic, and metabolic profile is unique, and integrating these layers is vital for tailoring treatments and predicting outcomes more accurately.

Challenges and the Need for Expertise

Despite the advantages, integrating and analyzing omics data is not without challenges. The datasets are massive, diverse, and often noisy. Standard analytical tools may fall short in addressing the complexity, necessitating domain-specific expertise and high-end computational infrastructure.

Professional bioinformatics providers that offer specialized proteomics data analysis services and multi-omics data integration services bring both the technical know-how and the computational resources needed to manage such tasks effectively. These services ensure data quality control, statistical rigor, and biological relevance, empowering researchers to derive actionable insights with confidence.

Future Directions in Omics Data Analytics

The field of omics is rapidly evolving. As sequencing and proteomics technologies become more accessible, the demand for integrated, accurate, and scalable data analysis solutions will continue to grow. Emerging fields like single-cell omics and spatial transcriptomics will further increase the need for advanced integration strategies.

To remain at the forefront, researchers and institutions must partner with bioinformatics experts who can offer tailored solutions for their specific datasets and goals. Whether it's through cloud-based platforms, AI-powered analytics, or customized workflows, the future of biological discovery hinges on effective data interpretation.

In conclusion, proteomics and multi-omics integration are revolutionizing the way we understand biology. Organizations looking to maximize the impact of their research should consider expert support from services like those offered by ambioinformatics.com, which specialize in transforming complex omics data into meaningful biological knowledge.

[zodiaclifesciences]

HPLC Columns: Types, Selection Guide, and Applications

Introduction to HPLC Columns

High-Performance Liquid Chromatography (HPLC) columns are essential components in analytical chemistry, enabling precise separation, identification, and quantification of compounds in various industries. Choosing the right HPLC column can significantly impact the efficiency and accuracy of chromatographic analysis.

In this article, we will explore different types of HPLC columns, their selection criteria, applications, and how to optimize your choice for the best analytical performance.

Types of HPLC Columns

1. Reversed-Phase HPLC Columns

Most commonly used for non-polar to moderately polar compounds.

Popular stationary phases: C18, C8, Phenyl, and Cyano.

Suitable for pharmaceutical, environmental, and food analysis.

2. Normal-Phase HPLC Columns

Ideal for separating polar compounds.

Uses silica or polar bonded phases like diol and amino.

Commonly applied in lipid and carbohydrate analysis.

3. Size-Exclusion HPLC Columns

Separates molecules based on their size.

Used for protein, polymer, and macromolecule analysis.

Gel permeation chromatography (GPC) is a subtype for organic solvents.

4. Ion-Exchange HPLC Columns

Designed for separating charged molecules.

Two types: Cation-exchange and Anion-exchange columns.

Frequently used in protein purification and water analysis.

5. Chiral HPLC Columns

Specifically designed to separate enantiomers in chiral compounds.

Widely used in pharmaceutical and agrochemical research.

How to Select the Right HPLC Column

Selecting the right HPLC column depends on several factors:

Nature of the Sample: Polar, non-polar, or ionic compounds require specific columns.

Mobile Phase Compatibility: Ensure compatibility with solvents to achieve optimal separation.

Particle Size and Pore Size: Smaller particle sizes (1.7–5 µm) provide higher resolution, while larger pore sizes are used for biomolecules.

Column Dimensions: Length and diameter affect analysis time and resolution.

Applications of HPLC Columns

1. Pharmaceutical Industry

Drug purity testing and formulation analysis.

Pharmacokinetic and bioavailability studies.

2. Food and Beverage Industry

Detection of contaminants, preservatives, and food additives.

Nutritional analysis of beverages and dairy products.

3. Environmental Testing

Monitoring pollutants, pesticides, and heavy metals in water and soil.

4. Biotechnology and Life Sciences

Protein purification, metabolomics, and lipidomics research.

Optimizing Your HPLC Column for Better Performance

To maximize the efficiency of your HPLC column:

Regularly clean and maintain the column to prevent clogging.

Optimize mobile phase composition and flow rate.

Use guard columns to extend the lifespan of analytical columns.

Store columns under recommended conditions when not in use.

Why Choose Zodiac Life Sciences for HPLC Columns?

Zodiac Life Sciences offers a wide range of high-performance HPLC columns tailored for diverse applications. Their innovative column technologies ensure superior separation efficiency, reproducibility, and durability, making them an excellent choice for laboratories seeking reliable analytical solutions.

Conclusion

Choosing the right HPLC column is crucial for achieving accurate and efficient chromatographic analysis. Understanding the different types, selection criteria, and applications will help you optimize your analytical workflow. Whether you are in pharmaceuticals, food safety, or environmental testing, selecting a high-quality HPLC column from a trusted supplier like Zodiac Life Sciences ensures reliable and reproducible results.

For more information on HPLC columns, contact Zodiac Life Sciences today and elevate your analytical capabilities!

[leedsomics]

Placental Network Differences Among Obstetric Syndromes Identified With An Integrated Multiomics Approach

The placenta is essential for a healthy pregnancy, and placental pathology can endanger both maternal and fetal health. Placental function is affected by dynamic, complex, and interconnected molecular, cellular, and environmental events; therefore, we need a systems biology approach to study disease in normal physiological placenta function. We use placental multiomics (short and bulk transcriptomics, untargeted metabolomics, and targeted proteomics) paired with clinical data and placental histopathology reports from 321 placentas across multiple obstetric conditions: fetal growth restriction (FGR), FGR with pregnancy-related hypertension (FGR+HDP), preeclampsia (PE), and spontaneous preterm delivery (PTD). We first performed cellular deconvolution to estimate cell type numbers from bulk transcriptomes: FGR+HDP placentas were the most different from control placentas driven by a higher estimated number of extravillous trophoblast (p http://dlvr.it/TCz2n2

[healthmatters520]

Amino Acids and Chronic Fatigue Syndrome

Welcome to our blog post on the intriguing connection between amino acids and chronic fatigue syndrome (CFS). Chronic fatigue syndrome is a complex condition characterized by long-term pain and disability, making it challenging to diagnose and treat effectively. However, recent studies have shed light on the potential role of amino acids in the development and management of CFS. In this blog post, we will explore the mechanisms and implications of amino acids in CFS, examine the findings of relevant studies, and discuss the potential of amino acid supplementation as a promising approach for fatigue reduction. So, let's delve into the fascinating world of amino acids and chronic fatigue syndrome.

Mechanisms and Implications

Amino acids, as the building blocks of proteins, play a crucial role in various physiological processes, including energy metabolism and neurotransmitter synthesis. Amino acid supplementation holds the potential to restore amino acid balance, enhance energy production, and alleviate fatigue symptoms in individuals with chronic fatigue syndrome (CFS). In CFS, there may be imbalances or deficiencies in certain amino acids that can disrupt energy metabolism and neurotransmitter function. By providing the body with targeted amino acid supplementation, it is hypothesized that these imbalances can be corrected, leading to improvements in energy levels and reduction in fatigue. Amino acids are involved in the production of adenosine triphosphate (ATP), the primary energy currency of cells. By supplying the necessary amino acids, the body can optimize ATP synthesis and enhance overall energy production, potentially addressing the fatigue experienced by individuals with CFS. Furthermore, amino acids are precursors for neurotransmitters like serotonin, dopamine, and norepinephrine, which are essential for regulating mood, cognition, and energy levels. By ensuring an adequate supply of amino acids, neurotransmitter synthesis and function may be supported, potentially contributing to improved symptoms of fatigue in individuals with CFS.

Urinary Amino Acid Excretion Patterns and Chronic Fatigue Syndrome

A compelling laboratory study1 investigated urinary amino acid excretion patterns in individuals with chronic fatigue syndrome (CFS) compared to a control group, shedding light on the potential connection between amino acids and CFS. The study's findings revealed intriguing abnormalities in amino acid excretion patterns among CFS patients. In this study, researchers analyzed urine samples from CFS patients and compared them to samples from a control group. The goal was to identify any significant differences in urinary amino acid excretion patterns between the two groups. The study's results demonstrated distinct deviations from normal patterns in CFS patients, indicating potential disruptions in amino acid metabolism. The findings revealed both reduced and increased excretion of specific amino acids in individuals with CFS when compared to the control group. These abnormal patterns suggest imbalances or dysregulation in amino acid metabolism, which may contribute to the development or progression of chronic fatigue syndrome. By exploring the link between amino acids and chronic fatigue syndrome through laboratory investigations, researchers hope to uncover underlying mechanisms, potential biomarkers, and ultimately develop more effective interventions to alleviate the burden of CFS.

Metabolic features of chronic fatigue syndrome

A fascinating study2 sheds light on the connection between amino acids and chronic fatigue syndrome (CFS). CFS is a complex disease characterized by long-term pain and disability, making it challenging to diagnose. This study utilized targeted, broad-spectrum metabolomics to gain insights into the biology of CFS. The researchers analyzed plasma samples from a total of 84 subjects, including 45 individuals who met diagnostic criteria for CFS and 39 age- and sex-matched controls. They targeted 612 metabolites in plasma, representing various biochemical pathways. The findings revealed significant abnormalities in 20 metabolic pathways among patients with CFS. Notably, 80% of the diagnostic metabolites showed decreased levels, indicating a hypometabolic syndrome. The affected pathways included sphingolipid, phospholipid, purine, cholesterol, microbiome, pyrroline-5-carboxylate, riboflavin, branch chain amino acid, peroxisomal, and mitochondrial metabolism. The researchers further conducted receiver operator characteristic (ROC) curve analysis, which demonstrated high diagnostic accuracies of 94% in males and 96% in females. This analysis utilized a selected set of metabolites to distinguish CFS patients from the control group. Interestingly, the study also revealed that the cellular metabolic response in CFS patients resembled the evolutionarily conserved persistence response to environmental stress known as dauer. This suggests that CFS is a conserved, hypometabolic response to environmental stress. The identification of a chemical signature specific to CFS through targeted plasma metabolomics is significant. It provides a potential tool for diagnosing the condition, monitoring treatment responses, and facilitating clinical trials. Furthermore, the study highlights the potential for personalized treatment approaches based on individual metabolite abnormalities. Further research involving larger cohorts and comparisons with related medical disorders will be necessary to validate and expand upon these findings. Nevertheless, this study provides valuable insights into the metabolic aspects of CFS and its potential connection to amino acids.

Amino Acid Supplementation: A Promising Approach for Fatigue Reduction

The findings of the amino acid supplementation study3 support the idea that amino acid therapy may correct metabolic disturbances and improve cellular energy production in CFS patients.. The difficulty in defining and diagnosing chronic fatigue syndrome (CFS) suggests a potential multifactorial etiology, and one possible common factor in this illness could be metabolic blocks that hinder optimal ATP production in cells. CFS patients often exhibit elevated blood lactate levels, which may reflect a deficit in ATP production. Abnormalities in the citric acid cycle intermediates, which are critical for ATP production, have also been observed in CFS patients. Deficiencies in red blood cell magnesium, an essential element for ATP utilization, have been found in CFS patients, and magnesium administration has shown symptom improvement. Amino acids play a direct role in the tricarboxylic acid (TCA) cycle and can enhance ATP production. Phenylalanine and tryptophan, two amino acids commonly deficient in CFS patients, are precursors to neurotransmitters involved in depressive disorders. Improvement in fibromyalgia patients, a disease similar to CFS, has been observed with the administration of 5-hydroxytryptophan. However, electrophysiological evidence suggests additional metabolic impairments in CFS patients, distinguishing them from patients with clinical depression. The study suggests that identifying deficient metabolic factors, such as amino acids, and reintroducing them to correct potential metabolic blocks could be a new and effective approach to treating CFS patients who have an inability to generate optimal cellular energy.

Conclusion

The studies examining the connection between amino acids and chronic fatigue syndrome provide valuable insights into the underlying metabolic abnormalities in individuals with CFS. The identification of specific amino acid imbalances and dysregulations opens up new possibilities for targeted interventions and personalized treatment approaches. Amino acid supplementation holds promise in restoring amino acid balance, enhancing energy production, and alleviating fatigue symptoms in individuals with CFS. However, further research is needed to validate and expand upon these findings, including larger cohort studies and comparisons with related medical disorders. Nevertheless, the potential of amino acids as therapeutic agents for CFS represents a significant step forward in understanding and addressing this debilitating condition. As the scientific community continues to unravel the mysteries of amino acids and their role in CFS, we hope that these discoveries will lead to improved diagnosis, management, and quality of life for individuals affected by chronic fatigue syndrome.

References

K.K. Eaton et al. (2009). Abnormalities in Essential Amino Acids in Patients with Chronic Fatigue Syndrome, Journal of Nutritional & Environmental Medicine Robert K. Naviaux et al. (2016). Metabolic features of chronic fatigue syndrome, The Proceedings of the National Academy of Sciences (PNAS) J. Alexander Bralley et al. (1994). Treatment of Chronic Fatigue Syndrome with specific amino acid supplementation, Journal of Applied Nutrition Read the full article

[nasa]

Two are Better Than One: The NASA Twins Study

What exactly happens to the human body during spaceflight? The Twins Study,  a 340-day investigation conducted by NASA’s Human Research Program , sought to find answers. Scientists had an opportunity to see how conditions on the International Space Station translated to changes in gene expression by comparing identical twin astronauts: Scott Kelly who spent close to a year in space and Mark Kelly who remained on Earth.

The Process

From high above the skies, for almost a year, astronaut Scott Kelly periodically collected his own blood specimens for researchers on the ground during his One-Year Mission aboard the Space Station. These biological specimens made their way down to Earth onboard two separate SpaceX Dragon vehicles. A little bit of Scott returned to Earth each time and was studied by scientists across the United States.

Totaling 183 samples from Scott and his brother, Mark, these vials helped scientists understand the changes Scott’s body underwent while spending a prolonged stay in low Earth orbit.  

The Twins

Because identical twins share the same genetic makeup, they are very similar on a molecular level. Twin studies provide a way for scientists to explore how our health is impacted by the environment around us.

What We Learned: Gene Expression

A significant finding is the variability in gene expression, which reflects how a body reacts to its environment and will help inform how gene expression is related to health risks associated with spaceflight. While in space, researchers observed changes in the expression of Scott’s genes, with the majority returning to normal after six months on Earth. However, a small percentage of genes related to the immune system and DNA repair did not return to baseline after his return to Earth. Further, the results identified key genes to target for use in monitoring the health of future astronauts and potentially developing personalized countermeasures.

What We Learned: Immunome

Another key finding is that Scott’s immune system responded appropriately in space. For example, the flu vaccine administered in space worked exactly as it does on Earth. A fully functioning immune system during long-duration space missions is critical to protecting astronaut health from opportunistic microbes in the spacecraft environment.

What We Learned: Proteomics

Studying protein pathways in Scott enabled researchers to look at fluid regulation and fluid shifts within his body. Shifts in fluid may contribute to vision problems in astronauts. Scientists found a specific protein associated with fluid regulation was elevated in Scott, compared with his brother Mark on Earth.

What We Learned: Telomeres

The telomeres in Scott’s white blood cells, which are biomarkers of aging at the end of chromosomes, were unexpectedly longer in space then shorter after his return to Earth with average telomere length returning to normal six months later. In contrast, his brother’s telomeres remained stable throughout the entire period. Because telomeres are important for cellular genomic stability, additional studies on telomere dynamics are planned for future one-year missions to see whether results are repeatable for long-duration missions.

What We Learned: Cognition

Scott Kelly participated in a series of cognitive performance evaluations (such as mental alertness, spatial orientation, and recognition of emotions) administered through a battery of tests and surveys. Researchers found that during spaceflight, Scott’s cognitive function remained normal for the first half of his stay onboard the space station compared to the second half of his spaceflight and to his brother, Mark, on the ground. However, upon landing, Scott’s speed and accuracy decreased. Re-exposure to Earth’s gravity and the dynamic experience of landing may have affected the results.  

What We Learned: Biochemical

In studying various measurements on Scott, researchers found that his body mass decreased during flight, likely due to controlled nutrition and extensive exercise. While on his mission, Scott consumed about 30% less calories than researchers anticipated. An increase in his folate serum (vitamin B-9), likely due to an increase of the vitamin in his pre-packaged meals, was also noted by researchers. This is bolstered by the telomeres study, which suggests that proper nutrition and exercise help astronauts maintain health while in space.

What We Learned: Metabolomics

Within five months of being aboard the space station, researchers found an increase in the thickness of Scott’s arterial wall, which may have been caused by inflammation and oxidative stress during spaceflight. Whether this change is reversible is yet to be determined. They hope these results will help them understand the stresses that the human cardiovascular system undergoes during spaceflight. 

In addition, the results from the Microbiome, Epigenomics, and Integrative Omics studies suggest a human body is capable of adapting to and recovering from the spaceflight environment on a molecular level.

Why Does This Matter?

The data from the Twins Study Investigation will be explored for years to come as researchers report some interesting, surprising, and assuring data on how the human body is able to adapt to the extreme environment of spaceflight. This study gave us the first integrated molecular view into genetic changes, and demonstrated the plasticity and robustness of a human body!

We will use the valuable data to ensure the safety and health of the men and women who go on to missions to the Moon and on to Mars.

Learn more with this video about these fascinating discoveries!  

Make sure to follow us on Tumblr for your regular dose of space: http://nasa.tumblr.com

[nutritionexpert]

personalized Nutrition

Mariam Ashfaq

Personalized Nutrition:

Personalized nutrition (PN) is also termed “as nutritional genomics and personalized or customized nutrition”. Personalized nutrition directs the consumption of diet for health optimization and wellbeing. Factors: Many factors contribute such as:

 Biochemistry

 Metabolic rate

 Inherited genes

 Microbiomes

 Physical activity level

 Sleep pattern

 Dietary habits

 Epigenetics

Need of Personalized Nutrition:

 As it has been stated according to many researches that chronic diseases are the main leading cause of death in worldwide. Moreover, it has also been deduced that consumption of poor diet sources is a risk factor for chronic diseases.

 It has been investigated that the diseases such as obesity, cardiovascular and cancer can originate in the first two years of life due to lack of nutrient rich diet. Thus, PN has been noticed to explicate and positively influence that diet figures an individual’s response to nutrients and, mutually, that genetic composition influences the metabolism of nutrients and requirements of nutrients in regard to optimize the capability and health.

 Weight management

 Improve mood and productivity

 For diabetes

 Cancer, cardiovascular and arthritis

 For hormone imbalancenment

 Individuals with GI complaints

Elements of personalized nutrition:

Personalized nutrition is referred to as the customized nutritional guild lines and interventions to manage, cure and avert the onset of chronic diseases and improve health and quality of life. Three elements defined the basics of personalized nutrition: 1. Personalized sciences and data 2. Personalized guidance and therapeutics 3. Personalized education and training

Relation of omics and personalized nutrition:

 Genomics the study of hereditary genes helps to determine the incidence of mutation in genes or provide the knowledge of genetic disorders in order to design more effective nutritional strategies or guidelines to optimize the well-being. Hence, decoding the gene expression can help to diagnose the underlying cause of disorders. Therefore, translation of omics data can facilitate to develop clinical and personalized interventions. This may include:

 Proteomics: it defines the encoding of protein within the genetic material of human being and characterizing the protein functions.

 Metabolomics: it refers to the metabolites produced as a result of protein action.it ensures the level of concentrated metabolites.

 Microbiomes: this discipline refers to the gut microbiomes activity within their respective cavities such as oral, vagina or intestinal lumen. The colonization of these microbiomes influences the digestion and absorption of food. They play a role in defining the biological processes and indicate the health issues such as diabetes, inflammation in brain or host immune function modulation. Hence, study of genome and microbiome help to design more personalized nutritional interventions to manage, prevent and cure the disease.

Nutritional genomics:

The branch of nutrition which usually involve:

 Nutritional genomic

 Nutri-genetics

Epigenetics

Nutritional genomics:

It mainly emphasizes on diet disorders and lifestyle disorders and also defines the interaction between the inherited genes and environmental factors like bioactive components in food, containments, stress and sleep.

Nutri-genetics:

It identifies the variation in genetics which impacts the functioning of organs. For an instance the mutation in gene 5,10-methylenetetrahydrofolate reductase (MTHFR) which is convert folate or folic acid into 5-methyl folate which is the active form of folic acid can result in the low activity of enzymes. Hence, no activation of folic acid therefore, these individuals require active form of folic acid to optimize their health.

Epigenetics:

The field of epigenetics explains that genes which contain all the genetic information responsible for organ functioning as once an organ cell is differentiated and well defined for its functioning are not only the risk factor for the onset of chronic diseases. However, the environmental element or lifestyle factor also play a role along with genes as for an instance it is not uncommon for two identical twins having the same genetic makeup and characteristics that one of them can suffer from disease however other may be healthy. Therefore, it is concluded that not only genetic expression is a culprit for a disease but lifestyle can be too.

Genetics and Nutrition Therapy:

The gene expression can be controlled at two levels mainly referred as:

 Genomic

 Epigenomics

 Transcription of DNA occur by several transcription factors in which ligand and specialized proteins, RNA polymerase attaches to promoter and initiate the process of transcription.it has been deduced that any ligand or any mutation can initiate or inhibit the process of transcription. Hence, bioactive components of food such as omega-3 or omega-6, curcumin, resveratrol, genistein or quercetin can act as a ligand and can activate the process of transcription in a well-defined manner.

However, some pro-inflammatory gens can inhibit the process therefore, it is concluded that these bioactive components of foods can inhibit proinflammatory transcription such as interleukin -1 or nuclear factor kappa B, which in return reduces the chance of genetic mutation or cancer.

 Another marker, epigenetic control can be done at two level, histone modification or DNA modification.it has been deduced that epigenetics only influence during fetal stage in which DNA is modified.

 But now recent research concluded that epigenetics greatly influences the adulthood as in this phase alteration in DNA methylation has been seen. Hence, epigenetic is also associated with several chronic diseases such as cancer and diabetes. Therefore, environmental factor and diet also contribute.

Allergen free diet:

Every human body immune system responds differently for an instance, some people may have severe allergic reactions called as anaphylaxis due to some food allergen and symptoms may include:

 Shortness of breath

 Redness

 Swelling

 Sneezing

 Rhinitis

 Ulceration

 Dermatitis

 Skin reactions

 Itching

 Wheezing

 coughing

Practitioners recommend allergen free diet to those individuals who show Ig E mediated response to some food allergens. Such diet includes peanut free die, tree nut free diet, gluten free diet, casein free milk or yogurt or low FODMAP. Glycemic response:

 Personalized nutrition is important in case of diabetes myelitis as according to a research seen in individuals suffering from diabetes different post prandial glycemic response was observed when given same meals. Therefore, it was decided that personalized diet should be prescribed which depend upon physical activity, sleep, dietary pattern and stress. Hence, personalized nutrition helps to control glycemic ratio and prevent hyperglycemia which when progress for long-term can cause kidney failure or cardiovascular disease.

 For an instance in a research it was investigated that one group consisting of 20 healthy males and the other group consisting of 20 males suffering from diabetes type 2 where tested by giving them glucose drink. The result suggested that there was difference in two group due to different metabolic response

 Another study in which individuals were given two kinds of bread some show high glycemic index to one bread and some show low glycemic index.

Ketogenic diet:

Ketogenic diet, termed as high protein diet and low carbohydrate and low-fat diet is usually prescribed to drive body’s metabolic system in the ketosis state.

 This type of diet usually prescribed to patients such as diabetes. Cardiovascular diseases respiratory disease, females suffering from polycystic ovary syndrome and cancer. latest research also suggests this diet for weight loss as ketones play a role as fuel for body cells.

Nutrition in different stages of life:

 Types of nutrients and food choices and calories differ in different stage of life such as in pregnancy there is more need of calories, iron, calcium and protein. However, in older age fewer calories are required but more nutrient dense food is recommended

Nutrition in different diseases:

Type of nutrient vary in different disorder or diseases for an instance

 In kidney failure low phosphate and low protein diet is recommended

 In cardiovascular diseases low sodium and triglyceride diet is given

 In diabetes low glycemic index food is recommended however, this diet vary from person to person due to other factors

 Microbiota level

 Sleep pattern

 Physical activity

 Genetics

 Stress level

 Age factor

 Food preferences

 Psychology

Personalized nutrition for weight loss:

 In research conducted in UK on obese individuals. Seventy-five individuals were divided into three sections and different eating pattern were implemented on them.

 One of these sections, individuals who found difficult to stop eating due to lack of sensation of feeling of fullness which usually result from the hormone dysfunction, were recommended to consume high protein rich diet and low carbohydrate diet to help them feel satiety.

In other group fasting technique was applied in 5:2 days.in this technique people having the genes which prevent the brain to send satiety signals were recommended to have 12 to 16-hour gap between meals to reduce the consumption of calories. it was done in such such am way that two days fasting and eating normally for five days.

Last group, emotional eaters were treated through cognitive and psychological therapy to overcome the habit of emotional eating and in return decreasing weight.

 It was concluded that individual who consume more protein and less carbohydrate lose 8%of their body mass. therefore, metabolic rate differs from person to person hence, personalized diet is recommended.

Benefits:

 Long term weight loss

 It slow down aging process

 It improves mood and increase productivity

 It enhances fertility rate

 Reduce chronic diseases such as diabetes, cancer and cardiovascular

 Reduce pain and stiffness in arthritis

Challenges of personalized nutrition: 1. Nutrition research: The main challenge faced by many practitioners are as the translated data of human genome is unable to implement as clinical intervention. As the data collection can be costly, may require technicians to operate devices and DNA testing equipment’s which are not affordable for everyone. However, there are many apps for identifying the parameters of health but they are not likely to produce accurate results. Therefore, there is a need for policy making to initiate the platform for public health and well being by installing the technologies and devices or artificial intelligence. 2. Practitioners: Many researchers concluded that many practitioners faced problems in providing personalized strategies according to omics data. 3. Professional education: For an education and training of public, the personalized nutrition should be included in the curriculum of students. institutions should develop policy to educate individual and aware them about recent research of health care. Conclusion: Personalized nutrition is a field that can help humans to prevent, manage and cure the disease.as it includes the translation of human genome and phenotype therefore, is more accurate and can suggest more effective strategies to prevent the onset of disease. However, challenges faced by practitioners can be overcome by developing policies for health care and by providing nutrition education to the public.

[lyufangxinblog-blog]

Cheap and Tasty Chicken: A Hard Trade-off

Are you a big fan of all junk food with fried chicken? Do you prefer chicken for its nutritious value and reasonable price? If so, you are contributing to the growing consumption trend of chicken worldwide, and somehow, making the poor broiler chicken suffer.

The blowing market of chicken forces the farm holders, racking their brains, to meet the need of this popular muscle product. That’s why fast-growing broiler chicken are selected, which reaches market weight of 3 to 4 kg by 6 to 8 weeks post-hatch(Abasht et al. 2019). This intensive and exhausting chicken raising system can cause several muscle diseases, namely myopathies, and damage both eating quality and nutritional quality of chicken.

One of the muscle diseases of broiler chicken is called Wooden Breast Diseases (WBD), which can be recognized by both color and texture changes. For the color changes, the WB chicken breast shows discoloration in both fresh condition (brighter and yellower) and cooked condition (darker, redder, and yellower) of superficial layer. For the texture, WB chicken tends to be harder, denser, chewier, crunchier and more fibrous than normal chicken breasts(Dalle Zotte et al. 2017).

Is it harmful to eat wooden breast chicken? Actually no. But although no harmful chemical can be found in myopathies breast muscles, higher fat content and protein oxidation products can be reckoned as potential drawbacks(Tasoniero et al. 2016).

With the rising awareness of consumers, both scientists and food manufacturers are trying to seek solutions to WBD in recent years. Instead of a thorough approach to tackle WBD, most existing methods can only alleviate WBD by adapting the feed formula of broiler chicken. Or, just try to make WBD meat tastier by post processing (make them into chicken balls, chicken soup can…)(Petracci et al. 2019).

Scientists are still on the way to figure out the complete picture of WBD’s mechanism through proteomics and metabolomics (in case you don’t know, proteomics and metabolomics are just fancy things to study genome). But before scientists find out a ‘silver bullet’, would you, as a fan of chicken product, pay more for slow growth chicken? How can we compromise between loss of natural taste and better fulfilled consumption? Is it possible to establish a win-win cooperation between chicken and human? These questions might linger in your mind for a while when enjoying yummy chicken next time.

[didanawisgi]

A team of researchers led by Yale-NUS College says it has found evidence that metabolic dysfunction is a primary cause of Alzheimer’s disease.

Two competing hypotheses are currently proposed to explain the cause of Alzheimer’s: the first is focused on the accumulation of amyloid-beta protein in the brain as the primary cause; while a second and more recent hypothesis proposes that metabolic dysfunction, specifically a dysfunction of the mitochondria, is responsible.

In a new study (“Metabolic stress is a primary pathogenic event in transgenic Caenorhabditis elegans expressing pan-neuronal human amyloid beta”) published in eLife, Jan Gruber, PhD, assistant professor, and colleagues discovered that metabolic defects occur well before any significant increase in the amount of amyloid-beta protein could be detected. The researchers used C. elegans to identify these changes because it shares many similarities at the molecular level with human cells. The team also found that treatment of the worms with a common anti-diabetes drug (Metformin) reversed these metabolic defects and normalized the worms’ healthspan and lifespan.

“Alzheimer’s disease (AD) is the most common neurodegenerative disease affecting the elderly worldwide. Mitochondrial dysfunction has been proposed as a key event in the etiology of AD. We have previously modeled amyloid-beta (Aβ)-induced mitochondrial dysfunction in a transgenic C. elegans strain by expressing human Aβ peptide specifically in neurons (GRU102). Here, we focus on the deeper metabolic changes associated with this Aβ-induced mitochondrial dysfunction. Integrating metabolomics, transcriptomics, and computational modeling, we identify alterations in Tricarboxylic Acid (TCA) cycle metabolism following even low-level Aβ expression. In particular, GRU102 showed reduced activity of a rate-limiting TCA cycle enzyme, alpha-ketoglutarate dehydrogenase,” the investigators wrote.

“These defects were associated with elevation of protein carbonyl content specifically in mitochondria. Importantly, metabolic failure occurred before any significant increase in global protein aggregate was detectable. Treatment with an anti-diabetes drug, Metformin, reversed Aβ-induced metabolic defects, reduced protein aggregation, and normalized lifespan of GRU102. Our results point to metabolic dysfunction as an early and causative event in Aβ-induced pathology and a promising target for intervention.”

“Current trials of Alzheimer’s drugs targeting proteins have failed despite billions of dollars being invested. Based on the emerging strong links between mitochondrial dysfunction and Alzheimer’s pathology, it might be better to adopt a preventative strategy by targeting metabolic defects, especially mitochondrial defects, directly and early, well before protein aggregates are even present,” Gruber said.

He further explained that metabolic and mitochondrial dysfunctions should be viewed as fundamental features of aging in general and that age-dependent diseases, including Alzheimer’s, should, therefore, be viewed as manifestations of aging. Hence, it may be easier to prevent or treat age-dependent diseases by targeting the mechanisms of aging rather than treating individual diseases after symptoms occur.

[iroatechnologies]

Buy Metabolomics Internal Standards | IROA Technologies

Buy Metabolomics Internal Standards from IROA Technologies to achieve precise, reproducible results in your LC-MS and GC-MS workflows. Our isotopically labeled standards are designed for accurate normalization, quantification, and metabolite identification—ensuring high-quality data across all metabolomics applications.

[ambioinformatics]

Advanced Metabolomics Data Analysis Services for Research and Innovation

Metabolomics data analysis services play a crucial role in modern biological and medical research, helping scientists extract meaningful insights from complex biochemical data. Researchers seeking computational biology consulting Sweden-based solutions often require expert guidance to interpret metabolic pathways, biomarker discovery, and quantitative data processing. By leveraging specialized analytical techniques, researchers can uncover significant correlations between metabolic changes and biological functions, improving diagnostics and treatment strategies.

Metabolomics data analysis services involve multiple steps, including raw data processing, statistical analysis, and biological interpretation. High-throughput technologies such as mass spectrometry and nuclear magnetic resonance generate vast amounts of metabolic data, which require sophisticated computational approaches to analyze. Advanced bioinformatics tools enable researchers to identify key metabolites, detect abnormalities, and construct detailed metabolic networks that provide deeper insights into disease mechanisms and physiological responses.

Computational biology consulting Sweden-based professionals offer expertise in integrating metabolomics with other omics technologies, such as genomics and proteomics, to provide a comprehensive view of biological systems. By combining different data sources, researchers can gain a more holistic understanding of cellular processes and molecular interactions. This multidisciplinary approach is essential for advancing precision medicine, drug development, and personalized healthcare.

Quality data interpretation is a fundamental aspect of metabolomics data analysis services. Researchers must ensure that their datasets are properly curated, normalized, and validated to generate reliable results. Effective statistical modeling helps differentiate significant metabolic variations from background noise, allowing for accurate identification of biomarkers and potential therapeutic targets. Machine learning algorithms are increasingly being applied to metabolomics research, enhancing predictive modeling and pattern recognition capabilities.

With the growing demand for high-quality computational biology consulting Sweden-based support, many research institutions and biotech companies are collaborating with specialized bioinformatics firms. These partnerships provide access to advanced analytical pipelines, custom algorithm development, and tailored data visualization solutions. Expert consultants help researchers overcome technical challenges, optimize workflows, and streamline data interpretation processes, ultimately accelerating scientific discoveries.

One of the key challenges in metabolomics research is the integration of diverse datasets across different experimental conditions. Computational biology consulting Sweden-based specialists utilize advanced database management systems and bioinformatics platforms to ensure seamless data integration and reproducibility. Standardized protocols and robust analytical frameworks help maintain data consistency and facilitate cross-study comparisons, enabling researchers to build more reliable models of metabolic regulation.

Metabolomics data analysis services continue to evolve with advancements in artificial intelligence and big data analytics. These innovations allow for more efficient data processing, automated feature selection, and enhanced predictive accuracy. As metabolomics plays a growing role in understanding disease progression, nutrition, and environmental impacts, the need for expert data analysis solutions will continue to expand.

By leveraging computational biology consulting Sweden-based expertise, researchers can maximize the potential of metabolomics studies, leading to groundbreaking discoveries in biotechnology, medicine, and life sciences. Access to high-quality analytical services ensures that complex metabolic data is translated into meaningful biological insights, supporting scientific progress and innovation in various fields.

[longhaulerbear]

Abstract

Background: One of the major challenges currently faced by global health systems is the prolonged COVID-19 syndrome (also known as long COVID) which has emerged as a consequence of the SARS-CoV-2 epidemic. The World Health Organization (WHO) recognized long COVID as a distinct clinical entity in 2021. It is estimated that at least 30% of patients who have had COVID-19 will develop long COVID. This has put a tremendous strain on still-overstretched healthcare systems around the world. Methods: In this study, our goal was to assess the plasma metabolome in a total of 108 samples collected from healthy controls, COVID-19 patients, and long COVID patients recruited in Mexico between 2020 and 2022. A targeted metabolomics approach using a combination of LC-MS/MS and FIA MS/MS was performed to quantify 108 metabolites. IL-17 and leptin concentrations were measured in long COVID patients by immunoenzymatic assay. Results: The comparison of paired COVID-19/post-COVID-19 samples revealed 53 metabolites that were statistically different (FDR < 0.05). Compared to controls, 29 metabolites remained dysregulated even after two years. Notably, glucose, kynurenine, and certain acylcarnitines continued to exhibit altered concentrations similar to the COVID-19 phase, while sphingomyelins and long saturated and monounsaturated LysoPCs, phenylalanine, butyric acid, and propionic acid levels normalized. Post-COVID-19 patients displayed a heterogeneous metabolic profile, with some showing no symptoms while others exhibiting a variable number of symptoms. Lactic acid, lactate/pyruvate ratio, ornithine/citrulline ratio, sarcosine, and arginine were identified as the most relevant metabolites for distinguishing patients with more complicated long COVID evolution. Additionally, IL-17 levels were significantly increased in these patients. Conclusions: Mitochondrial dysfunction, redox state imbalance, impaired energy metabolism, and chronic immune dysregulation are likely to be the main hallmarks of long COVID even two years after acute COVID-19 infection.

[leedsomics]

iSODA: A Comprehensive Tool for Integrative Omics Data Analysis in Single- and Multi-Omics Experiments

Omics technologies including genomics, proteomics, metabolomics, and lipidomics allow profound insights into health and disease. Thanks to plummeting costs of continuously evolving omics analytical platforms, research centers collect multi-omics data more routinely. They are, however, confronted with the lack of a versatile software solution to harmoniously analyze single-omics data and merge and interpret multi-omics data. We have developed iSODA, an interactive web-based application for the analysis of single- as well as multi-omics omics data. The software tool emphasizes intuitive, interactive visualizations designed for user-driven data exploration. Researchers can filter and normalize their datasets and access a variety of functions ranging from simple data visualization like volcano plots and PCA, to advanced functional analyses like enrichment analysis for proteomics and saturation analysis for lipidomics. For insights from integrated multi-omics, iSODA incorporates Multi-Omics Factor Analysis - MOFA, and Similarity Network Fusion - SNF. All results are presented in interactive plots with the possibility of downloading plots and associated data. The ability to adapt the imported data on-the-fly allows for tasks such as removal of outlier samples or failed features, various imputation strategies, or data normalization. The modular design allows for extensions with new analyses and plots. The software is accessible under http://isoda.online/. http://dlvr.it/TBbjst

[marketinsight12]

Cancer Biomarkers Market Research Report 2022 by Product, Application, End-users, Region and Global Forecast to 2028

The Cancer Biomarkers Market size is anticipated to reach USD 48.52 billion by 2028 from an estimated USD 16.56 billion in 2021, growing at a CAGR of 16.6% globally.

The biomarkers are also referred to as molecular markers of the signature molecule. The National Cancer Institute (NCI) states that a biomarker is a biological molecule that is found in body tissues, blood, and other body fluids that is a sign of any abnormal or normal process or any disease and other conditions. It can be RNA, DNA, protein, or metabolomic profiles which are specific to the tumor. The various type of cancer biomarkers based on the cancer type includes ER/PR, HER-2/neu, EGFR, and KRAS. The first cancer biomarker was discovered in 1847 and the name of that biomarker was the Bence-Jones protein. Biomarkers check out the individual’s risk of developing cancer and determine the risk of recurrence of cancer.

The global Cancer Biomarkers market report provides comprehensive market information, including classifications, definitions, and market analysis. This also helps with the awareness of various item specifics, the manufacturing cycle, the supply chain, and the cost structure. Along these lines, the understanding of the project's structural squares and key drivers of development is enhanced. To estimate the market size, boundaries such as import and fare, rules in various nations, inflation, legal and political variables, financial elements, and other minor aspects inside organizations have been broken down. The research examines the competitive landscape as well as the most current positions of major rivals in the Cancer Biomarkers industry.

Read more: -https://introspectivemarketresearch.com/reports/cancer-biomarkers-market/

[iroatechnologies]

Internal Standard Yeast Extract – IROA Technologies

Enhance your metabolomics research with IROA Technologies’ Internal Standard Yeast Extract. Designed for accurate normalization and quantification, it delivers reproducible results in complex biological samples. Trust IROA for precision in every experiment.

[modelload458]

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