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#lipids

1 post1 participant0 posts today
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Nina Davtian

On this #InternationalWomensDay, let me highlight two #WomenInSTEM.
First, Amy Cromartie, who leads the following @EuroGeosciences #preprint:
egusphere.copernicus.org/prepr
Second, Devika Varma, who recently defended her #PhD #thesis. Her PhD work at @NIOZnieuws aimed to investigate #paleotemperature indicators based on #archaeal hydroxylated #tetraether #lipids (OH-isoGDGTs):
nioz.nl/en/news/investigating-
#IWD #IWD25 #IWD2025
#Science #ScienceMastodon #AcademicMastodon
#GDGTs #brGDGTs #isoGDGTs
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egusphere.copernicus.orgUtilizing Probability Estimates from Machine Learning and Pollen to Understand the Depositional Influences on Branched GDGT in Wetlands, Peatlands, and LakesAbstract. Branched glycerol dialkyl glycerol tetraethers (brGDGTs) serve as critical molecular biomarkers for the quantitative reconstruction of past environments, ambient temperature and pH across various archives. Despite their success, numerous issues persist that limit their application. The distribution of brGDGTs varies significantly based on provenance, resulting in biases in environmental reconstructions that rely on fractional abundances and derived indices, such as the MBT’5ME. This issue is especially significant in shallow lakes, wetlands, and peatlands within semi-arid and arid regions, where ecosystems are sensitive to diverse environmental and climatic factors. Recent advancements, such as machine learning techniques, have been developed to identify changes in sources; however, these techniques are insufficient for detecting mixed source environments. The probability estimates derived from five machine learning algorithms are employed here to detect provenance changes in brGDGT downcore records and to identify periods of mixed provenance. A new global modern database (n=2301) was compiled to train, validate, test, and apply these algorithms to two sedimentary records. Our findings are corroborated by pollen and non-pollen palynomorphs obtained from the identical records. These microfossil proxies are utilized to discuss changes in provenance, hydrology, and ecology that influence the distribution of brGDGTs. Probability estimates derived from Random Forest with a sigmoid calibration are most effective in detecting changes in brGDGT distribution. Minor changes in the relative contributions of brGDGTs provenance can significantly influence the distribution of brGDGTs, especially regarding the MBT'5ME index. This study introduces a novel brGDGT wetland index aimed at monitoring potential biases arising from wetland development.
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Paul Houle

🧈 Dietary Lipids, Gut Microbiota, and Their Metabolites: Insights from Recent Studies

mdpi.com/2072-6643/17/4/639

MDPIDietary Lipids, Gut Microbiota, and Their Metabolites: Insights from Recent StudiesDietary lipid intake can influence the gut microbiota (GM) and their metabolites, such as short-chain fatty acids (SCFA) and bile acids, which are key mediators of health. The objective is to examine how dietary lipids’ quantity and quality influence the GM and metabolite profiles. A literature review of 33 studies in animals and humans was performed on the effects of saturated fatty acids (SFAs), monounsaturated fatty acids (MUFAs), polyunsaturated fatty acids (PUFAs), trans-fatty acids (TFAs), and sterols on GM composition and gut-derived metabolites. The results show that diets rich in MUFAs, n-3 PUFAs, and short-chain FAs have the potential to enhance beneficial bacteria and metabolites. In addition, trans-palmitoleic acid, conjugated linoleic acid, and phytosterols may also have potentially beneficial effects on GM, but more research is needed. Medium-chain FAs and n-6 PUFAs have variable effects on the GM. Conversely, intakes of high-fat diets, long-chain SFAs, industrial TFAs, and cholesterol disrupt GM balance. In conclusion, animal studies clearly demonstrate that dietary fats influence the GM and related metabolites. Yet, human studies are limited. Therefore, well-designed human studies that consider the whole diet and baseline health status are needed to better understand the effects of dietary lipids on GM.
#food#nutrition#diet
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Victoria Stuart 🇨🇦 🏳️‍⚧️

Mitochondrial fatty acid oxidation drives senescence
science.org/doi/10.1126/sciadv

* cellular senescence: stress-induced irreversible cell cycle arrest in tumor suppression/aging
* pharmacological activation of fatty acid oxidation induced senescence in vitro/in vivo
* mitochondrial energy metabolism: critical role in senescence induction
* potential intervention to control senescence

#ageing#aging#senescence
Public
preLights

In June, @the_node, preLights & @focalplane_jcs hosted #SciCommConnect, a science communication event.

Here, we highlight one of the winners of the 3-minute research talk competition: Shreya Pramanik ⭐

Check out her wonderful talk and learn more about her research and career in the post below ⬇️ 👀

Interview: prelights.biologists.com/news/

preLightsIntroducing Shreya Pramanik - one of the SciCommConnect three-minute talk winners - preLightsIn June, the Node, preLights and FocalPlane hosted SciCommConnect, a science communication event focussed on learning new scicomm skills and networking with like-minded researchers. As part of the day, we hosted a three-minute research talk competition, and we were treated to 12 fantastic talks on a range of topics. We had two competition winners, Oliver[...] Read More
#interview#talk#scicomm
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Rhyothemis

C15:0 The Holy Grail of Healthy Aging

youtu.be/wpdExyBjkos?si=Bol_85

Very interesting video on pentadecanoic acid, aka fatty 15. I haven't yet read the scientific papers, so I haven't formed an opinion of how likely it is that this supplement will live up to what is being claimed.

If the claims are true, they could answer some longstanding questions/seeming contradictions regarding the effects of low-fat vs high-fat diary consumption, for instance the 'ice cream effect' and Parkinson's disease risk/progression.

I'm seriously considering trying it. Usually I'm a late adopter - but this one is really intriguing. I will read some papers first, though.

I have questions re: membrane stability (I thought we needed more fluid membranes) and also re: the effects of warming oceans on FA production.

YouTubeC15:0 The Holy Grail of Healthy AgingBy meetfatty15
#Aging#metabolomics#PentadecanoicAcid
Public
Science Updates

"Diet is so complex that it is often difficult to draw conclusive evidence from a single study," acknowledged Dr Clemens Wittenbecher. "Our approach of using lipidomics to combine intervention studies with highly controlled diets and prospective cohort studies with long-term health tracking can overcome current limitations in nutrition research."

#lipids #fats #diet #plants #biology #health #medicine #cardiology #research

labroots.com/trending/cell-and

LabrootsBlood Lipid Profiles Indicate Plant Oils are Healthier Than Animal Fats | Cell And Molecular BiologyNot all fats are equal. A new study has suggested that unsaturated fats from plant sources are far better for human health than saturated fats from animal | Cell And Molecular Biology
Continued thread
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Egon Willighagen

if you wonder why #epilipidnet WG4 was missing, that's the WG where we're involved. Florian Gruber (the chair) presented some recent work on lipids in our skins and how cholesterol modulates restructuring of the membranes and the tissue structure. I (co-chair) presented the @wikipathways work (tho I see I should not have left out the @bridgedb slide) and the state of the #lipids portal (lipids.wikipathways.org/).

lipids.wikipathways.orgRedirecting…
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Nina Davtian

Two #basic #things to #know for #GDGT #lovers like me:
- These #nerdy #membrane-spanning #lipids are #ubiquitous in the #environment
- #GDGTs may have #multiple and #mixed #sources

If like a younger me* you apply #TEX86 in (#paleo)prodelta #deposits, be prepared to obtain #spooky #results from this #GDGT-based #paleotemperature #ClimateProxy!
#Links to the related #research #publication and #source #data in my auto-reply 👇🏻

*Me when I was a #PhDStudent

#HappyHalloween2024

@gdgt

Figure 3 in Davtian et al. (2019) Paleoceanography and Paleoclimatology (https://doi.org/10.1029/2018PA003452) All plotted sedimentary records from the Gulf of Lion, western Mediterranean Sea, cover the 160 to 9 ka BP period. (a) A sea surface temperature record from an established organic paleotemperature proxy named TEX86, which shows some spooky features. (b) A very qualitative and imperfect record of terrigenous inputs, which shows many similarities with TEX86 in terms of trends. (c) A sea surface temperature record from a recent organic paleotemperature proxy named RI-OH, which typically shows the expected behavior over the covered time period. (d) Another good-looking sea surface temperature record but from the most established organic paleotemperature proxy named UK'37. (e) A good-looking record from an established inorganic (non-strictly) paleotemperature proxy named d18O, with a reversed y-axis because foraminiferal d18O values decrease when sea temperatures increase.
Figure 4 in Davtian et al. (2019) Paleoceanography and Paleoclimatology (https://doi.org/10.1029/2018PA003452) Essentially the same caption as for Figure 3 in Davtian et al. (2019) Paleoceanography and Paleoclimatology, but with a focus on the 70 to 20 ka BP period.
Public
Nina Davtian

Are #nerdy #membrane-spanning #lipids produced by #bacteria and #archaea admitted on #Mastodon?

These lipids, named glycerol dialkyl glycerol tetraethers (#GDGTs), are my favorite #biomarkers for their usefulness as #climatic and #environmental #indicators and for having been the #protagonists of my #PhD #research.

Recently, I participated to an #international #workshop organized by #GDGT #nerds for GDGT nerds, sadly not active on this #platform as far as I know.

Nerdy mug with two of Nina Davtian's favorite membrane-spanning lipids on it. The molecule drawn in green is a bacterial membrane lipid whereas the molecule drawn in blue, red, and yellow is a famous archaeal membrane lipid named crenarchaeol.
Same nerdy mug as in the other photo but viewed from the other side. The name of the (niche) international workshop to which Nina Davtian participated in September 2023 and the name of the city where this workshop was organized are visible. GDGT stands for "glycerol dialkyl glycerol tetraether" and is the abbreviated name of Nina Davtian's favorite membrane-spanning lipids.
#Science#ScienceMastodon
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Amelia Glazier

Today's Research Highlight from Journal of Cell Science: Phosphatidylinositol transfer by Nir2 and Nir3 facilitates phagocytosis

journals.biologists.com/jcs/ar

Do lipid transfer proteins contribute to membrane remodeling processes during phagocytosis? Mayis Kaba, Amado Carreras-Sureda, Paula Nunes-Hasler, and Nicolas Demaurex explore this question in their new paper. #membranes #lipids #CellBiology

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