BMC Med October 2022 PMID 36289459

Metabolomics analysis of type 2 diabetes remission identifies 12 metabolites with predictive capacity: a CORDIOPREV clinical trial study.

Marina Mora-Ortiz, Juan F Alcala-Diaz, Oriol Alberto Rangel-Zuñiga, Antonio Pablo Arenas-de Larriva, Fernando Abollo-Jimenez, Diego Luque-Cordoba, Feliciano Priego-Capote, Maria M Malagon, Javier Delgado-Lista, Jose M Ordovas, Pablo Perez-Martinez, Antonio Camargo, Jose Lopez-Miranda

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Mentions

Peak: 6 in Nov 2022

across 3 sources since Oct 2021

Extended reach

104,072

potential audience

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Mentions per month

Oct 2021 – Apr 2023

Where it's discussed

X / Twitter11 posts
Reddit2 posts
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AI synopsis

What people are saying

The discussions underscore the importance of identifying metabolites as biomarkers for predicting diabetes remission, with posts discussing how this research could influence clinical practices by improving personalized treatment plans. The tone and word choices, such as 'potential to predict,' 'valuable biomarkers,' and 'significant findings,' highlight a generally optimistic view of the study's relevance and impact, fostering active engagement among readers interested in medical advances.

AgreementModerate agreement

Most discussions recognize and support the significance of the study’s findings, emphasizing its potential contributions.

InterestHigh interest

The posts demonstrate a strong interest, frequently highlighting the novelty of identifying predictive metabolites and mentioning the potential for better clinical prediction.

EngagementModerate engagement

Posts reflect moderate engagement, with some referencing the methodology and implications, though depth varies.

ImpactModerate impact

The discussions suggest that many see the study as impactful, potentially advancing personalized medicine and diabetes treatment strategies.

Abstract in brief

The study used metabolomics to identify 12 metabolites that can predict whether patients with newly diagnosed type 2 diabetes will go into remission after a 5-year dietary intervention, with non-remitters showing higher levels of these metabolites.
The predictive power of these metabolites was confirmed through statistical models, showing that patients with higher metabolite scores had a significantly greater chance of remission, and including these metabolites improved the accuracy of predictions compared to clinical variables alone.
Overall, the research suggests that these 12 metabolites could be useful biomarkers in clinical settings to better forecast diabetes remission, aiding personalized treatment strategies.]

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All mentions

Metabolite Biomarkers Predict Diabetes Remission After Dietary Intervention

This study identifies 12 metabolites that predict type 2 diabetes remission following a 5-year dietary intervention, with higher levels in non-remitters. These biomarkers improve prediction accuracy and can support…

Con sabor a ciencia · Oct 28, 2021 80 views

Ken Gusler

@kgusler · X

Metabolomics analysis of type 2 diabetes remission identifies 12 metabolites with predictive capacity: a CORDIOPREV clinical trial study - https://t.co/Xm65KnnAeQ

Apr 21, 2023 · 20,021 followers View post →

Sociedad Española de Medicina Interna (SEMI)

@Sociedad_SEMI · X

Nov 24, 2022 · 32,422 followers View post →

Bioinformatics Trends 

@BinfoTrends · X

RT @Brunorm84: #Metabolomics analysis of type 2 #diabetes remission identifies 12 #metabolites with predictive capacity: a CORDIOPREV clini…

Nov 19, 2022 · 2 shares · 8,163 followers View post →

Nonso Nduka

@NonsoNduka3 · X

RT @Brunorm84: #Metabolomics analysis of type 2 #diabetes remission identifies 12 #metabolites with predictive capacity: a CORDIOPREV clini…

Nov 19, 2022 · 2 shares · 211 followers View post →

Bruno Ramos-Molina, PhD

@Brunorm84 · X

#Metabolomics analysis of type 2 #diabetes remission identifies 12 #metabolites with predictive capacity: a CORDIOPREV clinical trial study @BMCMedicine https://t.co/7eIGu2Gvv9

Nov 19, 2022 · 5 likes · 2 shares · 6,454 followers View post →

Bioinformatics Trends 

@BinfoTrends · X

RT @SapientBio: A recent #metabolomics analysis of type 2 #diabetes mellitus (T2DM) has identified a number of endogenous #metabolites with…

Nov 3, 2022 · 1 share · 8,163 followers View post →

Sapient

@SapientBio · X

Nov 3, 2022 · 6 likes · 1 share · 153 followers View post →

Atherosclerosis Articles

@AtheroJC · X

Metabolomics analysis of type 2 diabetes remission identifies 12 metabolites with predictive capacity: a CORDIOPREV clinical trial study. https://t.co/KLD3ioAY0x

Oct 30, 2022 · 1 like · 29 followers View post →

Nick Krontiris

@nick_krontiris · X

Oct 29, 2022 · 2 likes · 19,137 followers View post →

BMC Medicine

@BMCMedicine · X

Newly identified endogenous metabolites have the potential to predict Type 2 diabetes mellitus remission following a dietary intervention. Read full study from @jlopezmir and colleagues here: https://t.co/00DPoo6JPW https://t.co/h5WM47pmKo

Oct 27, 2022 · 9,191 followers View post →

Rich Kleiner

@KleinerRich · X

Metabolomics analysis of type 2 diabetes remission identifies 12 metabolites with predictive capacity https://t.co/jMJfQGprQt

Oct 26, 2022 · 1 like · 33 followers View post →