3 ms·
Well perhaps you could try reading the paper and drawing from the author’s words about their intentions? It’s very clear. 1) a significant problem for humans i
by jncfhnb 2y ago
Well perhaps you could try reading the paper and drawing from the author’s words about their intentions? It’s very clear.
1) a significant problem for humans is the placenta doesn’t grow enough which makes the babies not get enough nutrients
2) this specific genus of gut bacteria is supposed to become common in pregnant women And mice
3) they took pregnant mice that were specifically lacking this bacteria and tested if reintroducing it would have positive effects, and it did.
4) a couple direct quotes
> Additionally, our approach could potentially align with supplementation studies in pregnant women, as we started the experiments after pregnancy was confirmed.
> Our results have potential translational implications, as around 14% of pregnant women use probiotics during pregnancy in European countries like the Netherlands [
62
]. However, the utilization of probiotics in clinical and nutritional contexts, particularly during pregnancy, remains a topic of continual debate. Thus, to comprehensively understand their influence on the developing offspring, it is essential to define the mechanisms supporting their beneficial effects.
Biomed academia is a shitshow but your effort here seems particularly bad faith and lame
- j_bum 2y agoWell, I read the intro, results, and methods prior to making my comment. Have you read the limitations? 1. & 2. Great. I agree. How does this research address those needs? 3. No, they didn’t. They took germ free mice without a gut microbiome and added probiotics with vs. without colonies of the supplemental bacteria. In my opinion, this bludgeons away translational value. They did no compositional analysis either via RNA seq, likely due to a lack of funding. 4. The authors can say lots about what their study could mean. Authors say lots of things all of the time. I, and anecdotally many others, put very little into author over-interpretation of data. The data can speak for themselves. Frankly I’m not sure how my critique of this research is bad faith. Lame? Maybe, I’m not to judge that. But I appreciate the discussion.
- jncfhnb 2y ago[flagged]