Very exciting work partially done at @LiverCenterKUMC in collaboration with Tom Rutkowski lan at U of Iowa!
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Our recent publication on liver cysts in polycystic kidney disease!
#mdpilivers
Welcome to read the paper "#Transcriptomics of Congenital #Hepatic #Fibrosis in Autosomal Recessive #Polycystic #Kidney Disease Using PCK Rats".
Free full-text: mdpi.com/2673-4389/3/3/25
New paper with @TomRutkowskiLab
Interference with the HNF4-dependent gene regulatory network diminishes endoplasmic reticulum stress in hepatocytes pubmed.ncbi.nlm.nih.gov/3782…
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#SOTmember Hongmin Ni of the @KUMedCenter is the co-investigator on a $3 million grant from the @NIEHS to study gene Х heavy metal interactions in human livers and understand their role in nonalcoholic fatty liver disease: bit.ly/3sPgK3W via @WSUResearch
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This is what landing on the Moon looks like - so many potholes to avoid! Note the 2 descent pauses to let the cameras find a flat spot, before success. Well done @isro!
Very interesting- Shaligrams, the sacred fossils that have been worshipped by Hindus and Buddhists for over 2,000 years, are becoming rarer because of climate change theconversation.com/shaligra… via @ConversationUS
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Liver #organoids might be my favorite organoids
Excellent advice! I would add- think very early on about the end game. Decide what you’ll you want to do with the PhD and customize the training for that goal.
This is incredible!!!
Adeel Khan, MD, a @WashUSurgery transplant surgeon at @BarnesJewish, has performed the first robotic liver transplant in the U.S. #WashUMed
Lab size i.e. number of people in the lab is a critical factor for many issues including growth and training of mentees, effective use of public research money, and *most* importantly, maintaining research integrity. npr.org/2023/07/19/118882881…
The way science works! @john_thyfault @kshankar110 @JudithSimcox
Buckle up! We're in for a wild ride today. A new @NatMetabolism paper by scientists from China adds a surprising twist to the long-known FTO GWAS story.
The FTO locus (16q12.2) is the first ever GWAS locus to be associated with obesity and even after 16 yrs now, scientists appear to be scratching their heads trying to make sense of this locus. Non-coding intronic variants within FTO strongly associate with BMI, where individuals homozygous for the top risk variant weigh ~3kg more than non-carriers (science.org/doi/10.1126/scie…).
Since its discovery in 2007, there have been tremendous efforts to identify the causal gene(s) at this locus. Given that the risk variants are sitting right within a gene, FTO was of course the primary suspect. How do you find out if FTO has an effect on BMI? Delete it in mice and see if the animal gains weight. And that's what scientists did and found out that Fto knockout mice were stunted and lean, and the leanness was mainly due to burning too much fat (nature.com/articles/nature07…). That's great. So FTO must be the causal gene.
But then contradicting findings appeared. If you knock out the Fto only in adipose tissue (science.org/doi/10.1126/scis…) or globally after the animal has grown (journals.plos.org/plosgeneti…), the mice actually gain weight!
Amidst this confusion came an even bigger one: two landmark papers, one in Nature (nature.com/articles/nature13…) and the other in NEJM (nejm.org/doi/10.1056/NEJMoa1…), said, forget about FTO, the causal genes are located far away. The FTO locus is an enhancer that folds in the 3d space and touches the promoter of distant genes IRX3 and IRX5. And deleting Irx3 in mice resulted in weight loss.
Then scientists were like, you know, a proper experiment would be not to knock out Fto or Irx3, but to delete the homologous noncoding region in mice. So, they deleted an 82 basepair-homologous region in mice and showed that without this region, the mice don't gain weight when fed with a high-fat diet, and deleting this locus increases Irx3 and Irx4 expression (science.org/doi/10.1126/scia…). So, the causal genes are IRX3 and IRX4 then.
And now, in the current paper, the scientists argue, you know, the most appropriate way to study the FTO locus is to recreate the exact genetic variant in mice and study the consequences.
What did they find? The exact opposite of what was found in humans. The risk allele that increased weight in humans, decreased weight in mice. Can it be because of some off-target effects of the CRISPR experiment? No. Even if you do the knock-in in an old-fashioned way, the results are the same. The weight loss is mainly via over energy expenditure via brown adipose tissue. Wait, there is another twist.
There is an interesting difference between humans and mice. Humans have brown adipose tissue only during infancy and then lose it as they grow into adults, which isn't the case in mice. The brown adipose tissue helps mainly during cold temperatures. The experiment mice are usually housed at around 20-22 degrees Celsius, which is an ambient temperature for humans but not for mice. It's substantially cooler than mice's "thermoneutral zone (29-31 degrees)".
So what happens when you repeat the experiments in what might be the mice's ambient temperature--30 degrees? All the weight loss effects that were previously seen at 20-22 degrees are now blunted. So, the FTO locus effects are strongly dependent on two things: temperature and the presence of brown adipose tissue. And it turned out, in fact, it was previously shown in humans that the FTO variant has an age-dependent effect. It lowers the body weight in infants and then increases the body weight in adults, which aligns with the current finding. (journals.plos.org/plosgeneti…)
Overall, the current paper is an impressive work and will stand as a landmark in the long twisty road of FTO story. But above all, this paper is a remarkable example to show case the challenges behind translating mice physiology to human physiology.
nature.com/articles/s42255-0…
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Mitochondria and three nuclei in a cancer cell videoed through a microscope. #CellBiology



















