#metabolomics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #metabolomics, aggregated by home.social.
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New publication: FERMO: A Dashboard for #Biochemometric Prioritization of #Molecular Features from Mass Spectral Data. #massspectrometry #metabolomics
https://doi.org/10.1021/acsmeasuresciau.6c00022 -
New publication: FERMO: A Dashboard for #Biochemometric Prioritization of #Molecular Features from Mass Spectral Data. #massspectrometry #metabolomics
https://doi.org/10.1021/acsmeasuresciau.6c00022 -
New publication: FERMO: A Dashboard for #Biochemometric Prioritization of #Molecular Features from Mass Spectral Data. #massspectrometry #metabolomics
https://doi.org/10.1021/acsmeasuresciau.6c00022 -
New publication: FERMO: A Dashboard for #Biochemometric Prioritization of #Molecular Features from Mass Spectral Data. #massspectrometry #metabolomics
https://doi.org/10.1021/acsmeasuresciau.6c00022 -
Fwd: "Benelux Metabolomics Days 2026, 22-23 September" https://www.aanmelder.nl/beneluxmetabolomicsdays2026 #bmd2026 #metabolomics
"Featuring 8 outstanding keynotes: Erin Baker, @schymane, Arthur David, Melanie Bailey, Kyo Bin Kang, Joleen Masschelein, Maria Fedorova & Gabi Kastenmüller and 22 ECR's presenting their metabolomics work!"
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Fwd: "Benelux Metabolomics Days 2026, 22-23 September" https://www.aanmelder.nl/beneluxmetabolomicsdays2026 #bmd2026 #metabolomics
"Featuring 8 outstanding keynotes: Erin Baker, @schymane, Arthur David, Melanie Bailey, Kyo Bin Kang, Joleen Masschelein, Maria Fedorova & Gabi Kastenmüller and 22 ECR's presenting their metabolomics work!"
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Fwd: "Benelux Metabolomics Days 2026, 22-23 September" https://www.aanmelder.nl/beneluxmetabolomicsdays2026 #bmd2026 #metabolomics
"Featuring 8 outstanding keynotes: Erin Baker, @schymane, Arthur David, Melanie Bailey, Kyo Bin Kang, Joleen Masschelein, Maria Fedorova & Gabi Kastenmüller and 22 ECR's presenting their metabolomics work!"
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Fwd: "Benelux Metabolomics Days 2026, 22-23 September" https://www.aanmelder.nl/beneluxmetabolomicsdays2026 #bmd2026 #metabolomics
"Featuring 8 outstanding keynotes: Erin Baker, @schymane, Arthur David, Melanie Bailey, Kyo Bin Kang, Joleen Masschelein, Maria Fedorova & Gabi Kastenmüller and 22 ECR's presenting their metabolomics work!"
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Fwd: "Benelux Metabolomics Days 2026, 22-23 September" https://www.aanmelder.nl/beneluxmetabolomicsdays2026 #bmd2026 #metabolomics
"Featuring 8 outstanding keynotes: Erin Baker, @schymane, Arthur David, Melanie Bailey, Kyo Bin Kang, Joleen Masschelein, Maria Fedorova & Gabi Kastenmüller and 22 ECR's presenting their metabolomics work!"
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DATE: September 2, 2026 at 12:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Maternal sleep latency during early pregnancy is linked to child intelligence scores
Pregnant people often experience changes in their sleep patterns, but the long-term effects of these disruptions on the developing fetus are not fully understood. A recent study suggests that maternal sleep difficulties, particularly taking a long time to fall asleep, are associated with slightly lower intelligence scores in children at age four. The research, published in the Journal of Child Psychology and Psychiatry, also points to specific metabolic chemicals in the pregnant person’s blood that might link poor sleep to offspring brain development.
Nearly half of pregnant individuals report experiencing poor sleep quality. During pregnancy, hormonal, physical, and psychological shifts can dramatically alter a person’s sleep and wake cycles. Concurrently, fetal brain development occurs at a rapid pace.
Because the developing brain is highly adaptable, it is sensitive to the prenatal environment. Prior research has connected maternal sleep problems to adverse outcomes like preterm birth and low birth weight. Animal models have indicated that maternal sleep deprivation alters fetal brain structures, specifically areas involved in memory and learning.
Human studies have also hinted at a connection between prenatal sleep and a child’s cognitive outcomes. Most of these investigations assessed sleep at only one point in time. Pregnancy involves distinct phases of neural system development, meaning the timing of sleep disruptions could influence the brain differently. The basic architectural structures of the brain form rapidly during the first trimester. While the third trimester involves brain growth and maturation, the groundwork laid earlier makes early-pregnancy exposures particularly impactful.
Sleep is a foundational biological process that regulates metabolism. Disrupted sleep can alter glucose processing, increase inflammation, and change how the body breaks down nutrients. Researchers Yun Huang and Jun Zhang of the Shanghai Jiao Tong University School of Medicine wanted to track how sleep patterns throughout all three trimesters related to child intelligence. They also aimed to identify specific chemical markers, or metabolites, that might explain this biological connection.
The researchers analyzed data from 1,870 mother and child pairs enrolled in the Shanghai Birth Cohort. During their first, second, and third trimesters, the pregnant participants completed questionnaires detailing their sleep habits. These surveys asked about sleep duration, subjective sleep quality, and sleep latency. Sleep latency is the amount of time it takes to transition from full wakefulness to sleep.
When the children reached four years of age, trained staff evaluated their intelligence using a standardized assessment called the Wechsler Primary and Preschool Scale of Intelligence. This test measures a child’s full-scale intelligence quotient, or IQ, alongside specific cognitive abilities. Verbal comprehension measures a child’s ability to access and apply acquired word knowledge. Fluid reasoning evaluates the capacity to detect underlying conceptual relationships and use reasoning to solve novel problems.
The researchers used statistical models to compare the maternal sleep data from each trimester with the children’s test scores. They adjusted their calculations to account for maternal age, education, physical activity, and family history of mental disorders.
The analysis showed an association between taking longer to fall asleep and lower cognitive scores. Longer sleep latency in the first trimester was linked to lower full-scale IQ and lower verbal comprehension scores. In the second trimester, longer sleep latency was associated with lower fluid reasoning scores. Sleep difficulties in the third trimester did not yield statistically significant associations with the children’s test scores.
Next, the researchers evaluated how consistent sleep patterns across the entirety of pregnancy related to child brain development. They used a statistical technique to group participants based on how their sleep quality changed from the first trimester to the third. This longitudinal approach allowed the team to see the cumulative impact of sleep struggles. They found that individuals who consistently experienced longer sleep latency throughout their entire pregnancy had children with lower full-scale IQ, verbal comprehension, and fluid reasoning scores at age four.
To understand the biological mechanisms behind these observations, the researchers looked at metabolites. Metabolites are small molecules produced when the body breaks down food, chemicals, or its own tissue. The team analyzed fasting blood samples taken from 1,461 of the pregnant participants during their first trimester.
The researchers conducted untargeted metabolomic profiling. Instead of looking for a few specific chemicals, this technique scans the blood for hundreds of small molecules simultaneously, providing a broad snapshot of the body’s metabolic state. After identifying 413 metabolites in the maternal serum, they used a “meet-in-the-middle” analytical strategy. They first looked for metabolites linked to maternal sleep factors, then looked for metabolites linked to child test scores, and finally focused on the overlapping chemicals that connected the two endpoints.
Three specific molecules emerged as potential mediators: inositol, indoleacrylic acid, and 4-hydroxyquinoline. Inositol is a sugar that is synthesized by the body and found in common foods like fruits and beans. It is transferred across the placenta to the fetus, where it contributes to neurotransmitter signaling. The researchers observed an indirect path where maternal sleep duration was linked to child fluid reasoning through changes in maternal inositol levels.
Indoleacrylic acid and 4-hydroxyquinoline are byproducts of tryptophan, an amino acid involved in producing sleep-regulating hormones like serotonin and melatonin. Poor sleep can alter how the body breaks down tryptophan, increasing inflammatory pathways and changing the availability of serotonin, a hormone essential for neuronal growth. The researchers found that sleep disturbances influenced offspring verbal comprehension via alterations in these two tryptophan-related molecules.
The study relied on self-reported questionnaires to assess maternal sleep. These surveys capture a person’s subjective perception of their rest, which might differ from objective measurements like brainwave monitoring or movement tracking devices. The metabolic analysis only tested blood samples from the first trimester. A person’s metabolic profile can fluctuate due to diet and physical activity, meaning a single measurement might not capture the full biological environment across the entire pregnancy.
The large number of metabolites tested also increases the mathematical risk of identifying false associations, requiring future studies to validate these specific chemical links. Most participants in this sample had a college degree, meaning the findings might not generalize to populations with different educational or socioeconomic backgrounds. Because sleep disturbances are sometimes a symptom of underlying psychiatric conditions, residual genetic or environmental factors could still influence the outcomes.
The study, “Maternal sleep disturbance during pregnancy and child intelligence quotient: A metabolome-wide association study in the Shanghai Birth Cohort,” was authored by Yun Huang, Fei Luo, Guanghai Wang, Ting Zhang, Lin Zhang, Lichun Fan, and Jun Zhang.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #MaternalSleep #PregnancyHealth #SleepLatency #ChildIQ #PrenatalNutrition #Metabolomics #TryptophanPathways #FetalBrainDevelopment #WechslerIQ #ShanghaiBirthCohort
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DATE: September 2, 2026 at 12:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Maternal sleep latency during early pregnancy is linked to child intelligence scores
Pregnant people often experience changes in their sleep patterns, but the long-term effects of these disruptions on the developing fetus are not fully understood. A recent study suggests that maternal sleep difficulties, particularly taking a long time to fall asleep, are associated with slightly lower intelligence scores in children at age four. The research, published in the Journal of Child Psychology and Psychiatry, also points to specific metabolic chemicals in the pregnant person’s blood that might link poor sleep to offspring brain development.
Nearly half of pregnant individuals report experiencing poor sleep quality. During pregnancy, hormonal, physical, and psychological shifts can dramatically alter a person’s sleep and wake cycles. Concurrently, fetal brain development occurs at a rapid pace.
Because the developing brain is highly adaptable, it is sensitive to the prenatal environment. Prior research has connected maternal sleep problems to adverse outcomes like preterm birth and low birth weight. Animal models have indicated that maternal sleep deprivation alters fetal brain structures, specifically areas involved in memory and learning.
Human studies have also hinted at a connection between prenatal sleep and a child’s cognitive outcomes. Most of these investigations assessed sleep at only one point in time. Pregnancy involves distinct phases of neural system development, meaning the timing of sleep disruptions could influence the brain differently. The basic architectural structures of the brain form rapidly during the first trimester. While the third trimester involves brain growth and maturation, the groundwork laid earlier makes early-pregnancy exposures particularly impactful.
Sleep is a foundational biological process that regulates metabolism. Disrupted sleep can alter glucose processing, increase inflammation, and change how the body breaks down nutrients. Researchers Yun Huang and Jun Zhang of the Shanghai Jiao Tong University School of Medicine wanted to track how sleep patterns throughout all three trimesters related to child intelligence. They also aimed to identify specific chemical markers, or metabolites, that might explain this biological connection.
The researchers analyzed data from 1,870 mother and child pairs enrolled in the Shanghai Birth Cohort. During their first, second, and third trimesters, the pregnant participants completed questionnaires detailing their sleep habits. These surveys asked about sleep duration, subjective sleep quality, and sleep latency. Sleep latency is the amount of time it takes to transition from full wakefulness to sleep.
When the children reached four years of age, trained staff evaluated their intelligence using a standardized assessment called the Wechsler Primary and Preschool Scale of Intelligence. This test measures a child’s full-scale intelligence quotient, or IQ, alongside specific cognitive abilities. Verbal comprehension measures a child’s ability to access and apply acquired word knowledge. Fluid reasoning evaluates the capacity to detect underlying conceptual relationships and use reasoning to solve novel problems.
The researchers used statistical models to compare the maternal sleep data from each trimester with the children’s test scores. They adjusted their calculations to account for maternal age, education, physical activity, and family history of mental disorders.
The analysis showed an association between taking longer to fall asleep and lower cognitive scores. Longer sleep latency in the first trimester was linked to lower full-scale IQ and lower verbal comprehension scores. In the second trimester, longer sleep latency was associated with lower fluid reasoning scores. Sleep difficulties in the third trimester did not yield statistically significant associations with the children’s test scores.
Next, the researchers evaluated how consistent sleep patterns across the entirety of pregnancy related to child brain development. They used a statistical technique to group participants based on how their sleep quality changed from the first trimester to the third. This longitudinal approach allowed the team to see the cumulative impact of sleep struggles. They found that individuals who consistently experienced longer sleep latency throughout their entire pregnancy had children with lower full-scale IQ, verbal comprehension, and fluid reasoning scores at age four.
To understand the biological mechanisms behind these observations, the researchers looked at metabolites. Metabolites are small molecules produced when the body breaks down food, chemicals, or its own tissue. The team analyzed fasting blood samples taken from 1,461 of the pregnant participants during their first trimester.
The researchers conducted untargeted metabolomic profiling. Instead of looking for a few specific chemicals, this technique scans the blood for hundreds of small molecules simultaneously, providing a broad snapshot of the body’s metabolic state. After identifying 413 metabolites in the maternal serum, they used a “meet-in-the-middle” analytical strategy. They first looked for metabolites linked to maternal sleep factors, then looked for metabolites linked to child test scores, and finally focused on the overlapping chemicals that connected the two endpoints.
Three specific molecules emerged as potential mediators: inositol, indoleacrylic acid, and 4-hydroxyquinoline. Inositol is a sugar that is synthesized by the body and found in common foods like fruits and beans. It is transferred across the placenta to the fetus, where it contributes to neurotransmitter signaling. The researchers observed an indirect path where maternal sleep duration was linked to child fluid reasoning through changes in maternal inositol levels.
Indoleacrylic acid and 4-hydroxyquinoline are byproducts of tryptophan, an amino acid involved in producing sleep-regulating hormones like serotonin and melatonin. Poor sleep can alter how the body breaks down tryptophan, increasing inflammatory pathways and changing the availability of serotonin, a hormone essential for neuronal growth. The researchers found that sleep disturbances influenced offspring verbal comprehension via alterations in these two tryptophan-related molecules.
The study relied on self-reported questionnaires to assess maternal sleep. These surveys capture a person’s subjective perception of their rest, which might differ from objective measurements like brainwave monitoring or movement tracking devices. The metabolic analysis only tested blood samples from the first trimester. A person’s metabolic profile can fluctuate due to diet and physical activity, meaning a single measurement might not capture the full biological environment across the entire pregnancy.
The large number of metabolites tested also increases the mathematical risk of identifying false associations, requiring future studies to validate these specific chemical links. Most participants in this sample had a college degree, meaning the findings might not generalize to populations with different educational or socioeconomic backgrounds. Because sleep disturbances are sometimes a symptom of underlying psychiatric conditions, residual genetic or environmental factors could still influence the outcomes.
The study, “Maternal sleep disturbance during pregnancy and child intelligence quotient: A metabolome-wide association study in the Shanghai Birth Cohort,” was authored by Yun Huang, Fei Luo, Guanghai Wang, Ting Zhang, Lin Zhang, Lichun Fan, and Jun Zhang.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #MaternalSleep #PregnancyHealth #SleepLatency #ChildIQ #PrenatalNutrition #Metabolomics #TryptophanPathways #FetalBrainDevelopment #WechslerIQ #ShanghaiBirthCohort
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DATE: September 2, 2026 at 12:00PM
SOURCE: PSYPOST.ORG** Research quality varies widely from fantastic to small exploratory studies. Please check research methods when conclusions are very important to you. **
-------------------------------------------------TITLE: Maternal sleep latency during early pregnancy is linked to child intelligence scores
Pregnant people often experience changes in their sleep patterns, but the long-term effects of these disruptions on the developing fetus are not fully understood. A recent study suggests that maternal sleep difficulties, particularly taking a long time to fall asleep, are associated with slightly lower intelligence scores in children at age four. The research, published in the Journal of Child Psychology and Psychiatry, also points to specific metabolic chemicals in the pregnant person’s blood that might link poor sleep to offspring brain development.
Nearly half of pregnant individuals report experiencing poor sleep quality. During pregnancy, hormonal, physical, and psychological shifts can dramatically alter a person’s sleep and wake cycles. Concurrently, fetal brain development occurs at a rapid pace.
Because the developing brain is highly adaptable, it is sensitive to the prenatal environment. Prior research has connected maternal sleep problems to adverse outcomes like preterm birth and low birth weight. Animal models have indicated that maternal sleep deprivation alters fetal brain structures, specifically areas involved in memory and learning.
Human studies have also hinted at a connection between prenatal sleep and a child’s cognitive outcomes. Most of these investigations assessed sleep at only one point in time. Pregnancy involves distinct phases of neural system development, meaning the timing of sleep disruptions could influence the brain differently. The basic architectural structures of the brain form rapidly during the first trimester. While the third trimester involves brain growth and maturation, the groundwork laid earlier makes early-pregnancy exposures particularly impactful.
Sleep is a foundational biological process that regulates metabolism. Disrupted sleep can alter glucose processing, increase inflammation, and change how the body breaks down nutrients. Researchers Yun Huang and Jun Zhang of the Shanghai Jiao Tong University School of Medicine wanted to track how sleep patterns throughout all three trimesters related to child intelligence. They also aimed to identify specific chemical markers, or metabolites, that might explain this biological connection.
The researchers analyzed data from 1,870 mother and child pairs enrolled in the Shanghai Birth Cohort. During their first, second, and third trimesters, the pregnant participants completed questionnaires detailing their sleep habits. These surveys asked about sleep duration, subjective sleep quality, and sleep latency. Sleep latency is the amount of time it takes to transition from full wakefulness to sleep.
When the children reached four years of age, trained staff evaluated their intelligence using a standardized assessment called the Wechsler Primary and Preschool Scale of Intelligence. This test measures a child’s full-scale intelligence quotient, or IQ, alongside specific cognitive abilities. Verbal comprehension measures a child’s ability to access and apply acquired word knowledge. Fluid reasoning evaluates the capacity to detect underlying conceptual relationships and use reasoning to solve novel problems.
The researchers used statistical models to compare the maternal sleep data from each trimester with the children’s test scores. They adjusted their calculations to account for maternal age, education, physical activity, and family history of mental disorders.
The analysis showed an association between taking longer to fall asleep and lower cognitive scores. Longer sleep latency in the first trimester was linked to lower full-scale IQ and lower verbal comprehension scores. In the second trimester, longer sleep latency was associated with lower fluid reasoning scores. Sleep difficulties in the third trimester did not yield statistically significant associations with the children’s test scores.
Next, the researchers evaluated how consistent sleep patterns across the entirety of pregnancy related to child brain development. They used a statistical technique to group participants based on how their sleep quality changed from the first trimester to the third. This longitudinal approach allowed the team to see the cumulative impact of sleep struggles. They found that individuals who consistently experienced longer sleep latency throughout their entire pregnancy had children with lower full-scale IQ, verbal comprehension, and fluid reasoning scores at age four.
To understand the biological mechanisms behind these observations, the researchers looked at metabolites. Metabolites are small molecules produced when the body breaks down food, chemicals, or its own tissue. The team analyzed fasting blood samples taken from 1,461 of the pregnant participants during their first trimester.
The researchers conducted untargeted metabolomic profiling. Instead of looking for a few specific chemicals, this technique scans the blood for hundreds of small molecules simultaneously, providing a broad snapshot of the body’s metabolic state. After identifying 413 metabolites in the maternal serum, they used a “meet-in-the-middle” analytical strategy. They first looked for metabolites linked to maternal sleep factors, then looked for metabolites linked to child test scores, and finally focused on the overlapping chemicals that connected the two endpoints.
Three specific molecules emerged as potential mediators: inositol, indoleacrylic acid, and 4-hydroxyquinoline. Inositol is a sugar that is synthesized by the body and found in common foods like fruits and beans. It is transferred across the placenta to the fetus, where it contributes to neurotransmitter signaling. The researchers observed an indirect path where maternal sleep duration was linked to child fluid reasoning through changes in maternal inositol levels.
Indoleacrylic acid and 4-hydroxyquinoline are byproducts of tryptophan, an amino acid involved in producing sleep-regulating hormones like serotonin and melatonin. Poor sleep can alter how the body breaks down tryptophan, increasing inflammatory pathways and changing the availability of serotonin, a hormone essential for neuronal growth. The researchers found that sleep disturbances influenced offspring verbal comprehension via alterations in these two tryptophan-related molecules.
The study relied on self-reported questionnaires to assess maternal sleep. These surveys capture a person’s subjective perception of their rest, which might differ from objective measurements like brainwave monitoring or movement tracking devices. The metabolic analysis only tested blood samples from the first trimester. A person’s metabolic profile can fluctuate due to diet and physical activity, meaning a single measurement might not capture the full biological environment across the entire pregnancy.
The large number of metabolites tested also increases the mathematical risk of identifying false associations, requiring future studies to validate these specific chemical links. Most participants in this sample had a college degree, meaning the findings might not generalize to populations with different educational or socioeconomic backgrounds. Because sleep disturbances are sometimes a symptom of underlying psychiatric conditions, residual genetic or environmental factors could still influence the outcomes.
The study, “Maternal sleep disturbance during pregnancy and child intelligence quotient: A metabolome-wide association study in the Shanghai Birth Cohort,” was authored by Yun Huang, Fei Luo, Guanghai Wang, Ting Zhang, Lin Zhang, Lichun Fan, and Jun Zhang.
-------------------------------------------------
Private, vetted email list for mental health professionals: https://www.clinicians-exchange.org
Unofficial Psychology Today Xitter to toot feed at Psych Today Unofficial Bot @PTUnofficialBot
-------------------------------------------------
#psychology #counseling #socialwork #psychotherapy @psychotherapist @psychotherapists @psychology @socialpsych @socialwork @psychiatry #mentalhealth #psychiatry #healthcare #depression #psychotherapist #MaternalSleep #PregnancyHealth #SleepLatency #ChildIQ #PrenatalNutrition #Metabolomics #TryptophanPathways #FetalBrainDevelopment #WechslerIQ #ShanghaiBirthCohort
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It's always fun meeting with high-school lab assistants and getting to explain PCA (draw a banana!), where additive and proportional error come from (measure lots of times!), and that -omics data in general have these, regardless of technology.
Which reminded me of two of my favorite posters.
Visualization of error in omics technologies
https://figshare.com/articles/poster/Characterization_and_Visualization_of_Error_in_Omics_Technologies/1431927?file=2191588Visualizing the effects of data transformations
https://figshare.com/articles/poster/Visualizing_the_Effects_of_Data_Transformations_on_Errors/3168775?file=4933519 -
It's always fun meeting with high-school lab assistants and getting to explain PCA (draw a banana!), where additive and proportional error come from (measure lots of times!), and that -omics data in general have these, regardless of technology.
Which reminded me of two of my favorite posters.
Visualization of error in omics technologies
https://figshare.com/articles/poster/Characterization_and_Visualization_of_Error_in_Omics_Technologies/1431927?file=2191588Visualizing the effects of data transformations
https://figshare.com/articles/poster/Visualizing_the_Effects_of_Data_Transformations_on_Errors/3168775?file=4933519 -
It's always fun meeting with high-school lab assistants and getting to explain PCA (draw a banana!), where additive and proportional error come from (measure lots of times!), and that -omics data in general have these, regardless of technology.
Which reminded me of two of my favorite posters.
Visualization of error in omics technologies
https://figshare.com/articles/poster/Characterization_and_Visualization_of_Error_in_Omics_Technologies/1431927?file=2191588Visualizing the effects of data transformations
https://figshare.com/articles/poster/Visualizing_the_Effects_of_Data_Transformations_on_Errors/3168775?file=4933519 -
It's always fun meeting with high-school lab assistants and getting to explain PCA (draw a banana!), where additive and proportional error come from (measure lots of times!), and that -omics data in general have these, regardless of technology.
Which reminded me of two of my favorite posters.
Visualization of error in omics technologies
https://figshare.com/articles/poster/Characterization_and_Visualization_of_Error_in_Omics_Technologies/1431927?file=2191588Visualizing the effects of data transformations
https://figshare.com/articles/poster/Visualizing_the_Effects_of_Data_Transformations_on_Errors/3168775?file=4933519 -
It's always fun meeting with high-school lab assistants and getting to explain PCA (draw a banana!), where additive and proportional error come from (measure lots of times!), and that -omics data in general have these, regardless of technology.
Which reminded me of two of my favorite posters.
Visualization of error in omics technologies
https://figshare.com/articles/poster/Characterization_and_Visualization_of_Error_in_Omics_Technologies/1431927?file=2191588Visualizing the effects of data transformations
https://figshare.com/articles/poster/Visualizing_the_Effects_of_Data_Transformations_on_Errors/3168775?file=4933519 -
new paper: "Computational metabolomics at scale: from open data to insight" https://doi.org/10.1016/j.copbio.2026.103557 #metabolomics
"Metabolomics stands at a pivotal moment where the volume, diversity, and richness of publicly available data offer unprecedented opportunities for discovery"
It describes the results from a series of Dagstuhl meeting. I attended a few (not this year). It gives a good overview of where the field may be going, and perhaps should be going. Happy to have been part of this community!
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new paper: "Computational metabolomics at scale: from open data to insight" https://doi.org/10.1016/j.copbio.2026.103557 #metabolomics
"Metabolomics stands at a pivotal moment where the volume, diversity, and richness of publicly available data offer unprecedented opportunities for discovery"
It describes the results from a series of Dagstuhl meeting. I attended a few (not this year). It gives a good overview of where the field may be going, and perhaps should be going. Happy to have been part of this community!
-
new paper: "Computational metabolomics at scale: from open data to insight" https://doi.org/10.1016/j.copbio.2026.103557 #metabolomics
"Metabolomics stands at a pivotal moment where the volume, diversity, and richness of publicly available data offer unprecedented opportunities for discovery"
It describes the results from a series of Dagstuhl meeting. I attended a few (not this year). It gives a good overview of where the field may be going, and perhaps should be going. Happy to have been part of this community!
-
new paper: "Computational metabolomics at scale: from open data to insight" https://doi.org/10.1016/j.copbio.2026.103557 #metabolomics
"Metabolomics stands at a pivotal moment where the volume, diversity, and richness of publicly available data offer unprecedented opportunities for discovery"
It describes the results from a series of Dagstuhl meeting. I attended a few (not this year). It gives a good overview of where the field may be going, and perhaps should be going. Happy to have been part of this community!
-
new paper: "Computational metabolomics at scale: from open data to insight" https://doi.org/10.1016/j.copbio.2026.103557 #metabolomics
"Metabolomics stands at a pivotal moment where the volume, diversity, and richness of publicly available data offer unprecedented opportunities for discovery"
It describes the results from a series of Dagstuhl meeting. I attended a few (not this year). It gives a good overview of where the field may be going, and perhaps should be going. Happy to have been part of this community!
-
Metabolomics of single-strain & co-cultures of 7 Fusarium strains causing #metabolome head blight reveals metabolic modifications induced by strain co-occurrence.
FHB #metabolomics reveals species‑specific biomarkers & interaction‑driven shifts in co‑cultures
#microbiology #agriculture #metabolome #Ag
https://davidojcius.blogspot.com/2026/08/how-fusarium-strain-co-occurrence.html
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Metabolomics of single-strain & co-cultures of 7 Fusarium strains causing #metabolome head blight reveals metabolic modifications induced by strain co-occurrence.
FHB #metabolomics reveals species‑specific biomarkers & interaction‑driven shifts in co‑cultures
#microbiology #agriculture #metabolome #Ag
https://davidojcius.blogspot.com/2026/08/how-fusarium-strain-co-occurrence.html
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Metabolomics of single-strain & co-cultures of 7 Fusarium strains causing #metabolome head blight reveals metabolic modifications induced by strain co-occurrence.
FHB #metabolomics reveals species‑specific biomarkers & interaction‑driven shifts in co‑cultures
#microbiology #agriculture #metabolome #Ag
https://davidojcius.blogspot.com/2026/08/how-fusarium-strain-co-occurrence.html
-
Metabolomics of single-strain & co-cultures of 7 Fusarium strains causing #metabolome head blight reveals metabolic modifications induced by strain co-occurrence.
FHB #metabolomics reveals species‑specific biomarkers & interaction‑driven shifts in co‑cultures
#microbiology #agriculture #metabolome #Ag
https://davidojcius.blogspot.com/2026/08/how-fusarium-strain-co-occurrence.html
-
Metabolomics of single-strain & co-cultures of 7 Fusarium strains causing #metabolome head blight reveals metabolic modifications induced by strain co-occurrence.
FHB #metabolomics reveals species‑specific biomarkers & interaction‑driven shifts in co‑cultures
#microbiology #agriculture #metabolome #Ag
https://davidojcius.blogspot.com/2026/08/how-fusarium-strain-co-occurrence.html
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New lab publication:
High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets, by Huckvale et al
https://www.mdpi.com/2218-1989/16/8/545
We show that the metabolite pathway annotation pipeline we've been building improves annotation enrichment results using GSEA on 990 datasets from Metabolomics Workbench.
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New lab publication:
High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets, by Huckvale et al
https://www.mdpi.com/2218-1989/16/8/545
We show that the metabolite pathway annotation pipeline we've been building improves annotation enrichment results using GSEA on 990 datasets from Metabolomics Workbench.
-
New lab publication:
High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets, by Huckvale et al
https://www.mdpi.com/2218-1989/16/8/545
We show that the metabolite pathway annotation pipeline we've been building improves annotation enrichment results using GSEA on 990 datasets from Metabolomics Workbench.
-
New lab publication:
High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets, by Huckvale et al
https://www.mdpi.com/2218-1989/16/8/545
We show that the metabolite pathway annotation pipeline we've been building improves annotation enrichment results using GSEA on 990 datasets from Metabolomics Workbench.
-
New lab publication:
High-Quality Predicted Metabolite-Pathway Annotations Expand Pathway Coverage and Increase Enriched Pathway Detection Across Metabolomics Datasets, by Huckvale et al
https://www.mdpi.com/2218-1989/16/8/545
We show that the metabolite pathway annotation pipeline we've been building improves annotation enrichment results using GSEA on 990 datasets from Metabolomics Workbench.
-
Novogene Europe expands single-cell sequencing capability at Cambridge Omics Centre
Novogene Europe, a multiomics research services partner, today announced that it has expanded its single-cell RNA sequencing capability…
#Europe #EU #Bioinformatics #Cell #Chromium #DevelopmentalBiology #Gene #GeneExpression #Genomics #immunology #Metabolomics #Multiomics #neuroscience #oncology #Research #RNA #RNASequencing #Transcriptomics
https://www.europesays.com/europe/103313/ -
Novogene Europe launches Untargeted Metabolomics Service at Cambridge Omics Centre
Novogene Europe, a multiomics research services partner, today announced that it has strengthened its position as a multiomics…
#NewsBeep #News #Health #AU #Australia #bioinformatics #Genomics #Lifescience #MassSpectrometry #Metabolite #Metabolomics #Microbiome #Molecule #Multiomics #Phenotype #research #Spectrometry #Transcriptomics
https://www.newsbeep.com/au/797668/ -
Novogene Europe launches Untargeted Metabolomics Service at Cambridge Omics Centre
Novogene Europe, a multiomics research services partner, today announced that it has strengthened its position as a multiomics…
#NewsBeep #News #Health #AU #Australia #bioinformatics #Genomics #Lifescience #MassSpectrometry #Metabolite #Metabolomics #Microbiome #Molecule #Multiomics #Phenotype #research #Spectrometry #Transcriptomics
https://www.newsbeep.com/au/797668/ -
https://www.europesays.com/uk/1086529/ Novogene Europe launches Untargeted Metabolomics Service at Cambridge Omics Centre #Bioinformatics #EU #Europe #European #Genomics #LifeScience #MassSpectrometry #Metabolite #metabolomics #Microbiome #Molecule #Multiomics #Phenotype #Research #Spectrometry #Transcriptomics
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https://www.europesays.com/ie/582646/ Ultra-processed foods leave behind metabolic “signature” in blood, study finds #cancer #Éire #Health #IE #Ireland #Metabolism #Metabolomics #UltraProcessedFoods #UPF
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Ultra-processed foods leave behind metabolic “signature” in blood, study finds https://www.byteseu.com/2190390/ #Cancer #Health #Metabolism #Metabolomics #UltraProcessedFoods #UPF
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Want to participate in a remote #Metabolomics conference?
Deadline for abstract submission to the International Electronic Conference on Metabolomics 2026 is July 17th.
Yes, it's funded by MDPI. I understand if you don't register because of that. But there are many genuinely good speakers who will be there, and yours truly will hopefully be presenting their work on trying to do QC/QA of the entirety of Metabolomics Workbench!
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Want to participate in a remote #Metabolomics conference?
Deadline for abstract submission to the International Electronic Conference on Metabolomics 2026 is July 17th.
Yes, it's funded by MDPI. I understand if you don't register because of that. But there are many genuinely good speakers who will be there, and yours truly will hopefully be presenting their work on trying to do QC/QA of the entirety of Metabolomics Workbench!
-
Want to participate in a remote #Metabolomics conference?
Deadline for abstract submission to the International Electronic Conference on Metabolomics 2026 is July 17th.
Yes, it's funded by MDPI. I understand if you don't register because of that. But there are many genuinely good speakers who will be there, and yours truly will hopefully be presenting their work on trying to do QC/QA of the entirety of Metabolomics Workbench!
-
Want to participate in a remote #Metabolomics conference?
Deadline for abstract submission to the International Electronic Conference on Metabolomics 2026 is July 17th.
Yes, it's funded by MDPI. I understand if you don't register because of that. But there are many genuinely good speakers who will be there, and yours truly will hopefully be presenting their work on trying to do QC/QA of the entirety of Metabolomics Workbench!
-
Want to participate in a remote #Metabolomics conference?
Deadline for abstract submission to the International Electronic Conference on Metabolomics 2026 is July 17th.
Yes, it's funded by MDPI. I understand if you don't register because of that. But there are many genuinely good speakers who will be there, and yours truly will hopefully be presenting their work on trying to do QC/QA of the entirety of Metabolomics Workbench!
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https://www.europesays.com/ie/572860/ Blood markers reveal metabolic impact of ultra-processed food consumption #blood #cancer #CardiovascularDisease #Cell #CellMetabolism #diabetes #Éire #FattyAcids #food #Health #IE #Ireland #Lipids #Metabolism #Metabolites #Metabolomics #Mortality #Nutrition #Obesity #Research #Type2Diabetes #UltraProcessedFood #UltraProcessedFoods
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https://www.europesays.com/at/258127/ Blutzucker als Risiko-Faktor: KI-gestützte Marker für beschleunigtes Gehirnaltern #AI #ARTIFICIALINTELLIGENCE #AT #Austria #Biomarker #BrainAging #Genomics #Gesundheit #Glukose #Health #KI #KünstlicheIntelligenz #London #Metabolomics #Mri #Österreich #UKBiobank
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Blood metabolism maps how lifestyle tracks function in cognitive aging
A new pathway-level analysis links diet and physical activity to blood metabolic patterns associated with mobility, cognition, independence,…
#NewsBeep #News #Health #Aging #AminoAcid #AU #Australia #Blood #Dementia #diet #Education #Inflammation #Metabolism #Metabolite #Metabolites #Metabolomics #Microbiome #Muscle #Nutrition #OxidativeStress #physicalactivity #stress
https://www.newsbeep.com/au/769150/ -
Blood metabolism maps how lifestyle tracks function in cognitive aging
A new pathway-level analysis links diet and physical activity to blood metabolic patterns associated with mobility, cognition, independence,…
#NewsBeep #News #Health #Aging #AminoAcid #AU #Australia #Blood #Dementia #diet #Education #Inflammation #Metabolism #Metabolite #Metabolites #Metabolomics #Microbiome #Muscle #Nutrition #OxidativeStress #physicalactivity #stress
https://www.newsbeep.com/au/769150/ -
The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome
Study populationRotterdam Study The Rotterdam Study is a prospective population-based study from the Ommoord district of Rotterdam, The…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Health #Ageing #Alzheimer'sdisease #dataintegration #general #LifeSciences #Metabolomics #Systemsanalysis
https://www.newsbeep.com/us/726924/ -
The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome
Study populationRotterdam Study The Rotterdam Study is a prospective population-based study from the Ommoord district of Rotterdam, The…
#NewsBeep #News #US #USA #UnitedStates #UnitedStatesOfAmerica #Health #Ageing #Alzheimer'sdisease #dataintegration #general #LifeSciences #Metabolomics #Systemsanalysis
https://www.newsbeep.com/us/726924/ -
https://www.europesays.com/uk/1050461/ The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome #Ageing #Alzheimer'sDisease #DataIntegration #general #Health #Healthcare #LifeSciences #metabolomics #SystemsAnalysis #UK #UnitedKingdom
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The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome
Study populationRotterdam Study The Rotterdam Study is a prospective population-based study from the Ommoord district of Rotterdam, The…
#NewsBeep #News #Healthcare #Ageing #Alzheimer'sdisease #Dataintegration #general #Health #healthcare #LifeSciences #Metabolomics #Systemsanalysis #UK #UnitedKingdom
https://www.newsbeep.com/uk/658104/ -
The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome
Study populationRotterdam Study The Rotterdam Study is a prospective population-based study from the Ommoord district of Rotterdam, The…
#NewsBeep #News #Healthcare #Ageing #Alzheimer'sDisease #AU #Australia #Dataintegration #general #Health #LifeSciences #Metabolomics #Systemsanalysis
https://www.newsbeep.com/au/760071/ -
The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome
Study populationRotterdam Study The Rotterdam Study is a prospective population-based study from the Ommoord district of Rotterdam, The…
#NewsBeep #News #Healthcare #Ageing #Alzheimer'sDisease #AU #Australia #Dataintegration #general #Health #LifeSciences #Metabolomics #Systemsanalysis
https://www.newsbeep.com/au/760071/ -
https://www.europesays.com/ie/553999/ The blood metabolome of brain health in midlife and influences of genes, microbiome and exposome #Ageing #Alzheimer'sDisease #DataIntegration #Éire #general #Health #HealthCare #Healthcare #IE #Ireland #LifeSciences #Metabolomics #SystemsAnalysis
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Tagging the Tank: Ubiquitin-mediated clearance of cellular energy reserves
You have full access to this article via your institution. The ubiquitin system is fundamental to the control…
#Energy #cell(biology) #general #Glycobiology #LifeSciences #Metabolomics
https://www.europesays.com/3070387/ -
New co-authored manuscript on liver cancer multi-omics:
Integrated Multi-omic Analyses Reveal Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular Carcinoma
Anspach et al., https://www.jlr.org/article/S0022-2275(26)00107-0/fulltext8 patients, *paired samples* of cancer and adjacent normal!! (made the statistics so nice to work with and look for correlations between rna-seq and metabolomics).
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New co-authored manuscript on liver cancer multi-omics:
Integrated Multi-omic Analyses Reveal Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular Carcinoma
Anspach et al., https://www.jlr.org/article/S0022-2275(26)00107-0/fulltext8 patients, *paired samples* of cancer and adjacent normal!! (made the statistics so nice to work with and look for correlations between rna-seq and metabolomics).
-
New co-authored manuscript on liver cancer multi-omics:
Integrated Multi-omic Analyses Reveal Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular Carcinoma
Anspach et al., https://www.jlr.org/article/S0022-2275(26)00107-0/fulltext8 patients, *paired samples* of cancer and adjacent normal!! (made the statistics so nice to work with and look for correlations between rna-seq and metabolomics).
-
New co-authored manuscript on liver cancer multi-omics:
Integrated Multi-omic Analyses Reveal Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular Carcinoma
Anspach et al., https://www.jlr.org/article/S0022-2275(26)00107-0/fulltext8 patients, *paired samples* of cancer and adjacent normal!! (made the statistics so nice to work with and look for correlations between rna-seq and metabolomics).
-
New co-authored manuscript on liver cancer multi-omics:
Integrated Multi-omic Analyses Reveal Novel Gene-Metabolite Relationships in Human Steatohepatitic Hepatocellular Carcinoma
Anspach et al., https://www.jlr.org/article/S0022-2275(26)00107-0/fulltext8 patients, *paired samples* of cancer and adjacent normal!! (made the statistics so nice to work with and look for correlations between rna-seq and metabolomics).