Studying the gut microbial development and its associations with diseases with a specific focus on inflammatory bowel disease

Joined December 2021
7 Photos and videos
HabermanLab retweeted
Now out in @NatureBiotech ! Do lncRNAs commonly bind 1000s of genomic sites? Maybe they do, but the dozens of studies that report genomic binding maps of lncRNAs are deeply flawed, with probes binding suprious DNA sites rather than RNA-bound ones. nature.com/articles/s41587-0โ€ฆ
A preprintโ€ผ๏ธthat's bound to ruffle some ๐Ÿชถ "Widespread DNA off-targeting confounds studies of RNA chromatin occupancy" led by our @MicahGoldrich and Louis Delhaye from @pieter_mestdagh. TL;DR we show that many of lncRNA chromatin occupancy maps are flawed๐Ÿงตbiorxiv.org/content/10.1101/โ€ฆ
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HabermanLab retweeted
๐ŸŸ Ultra-processed and unhealthy diet exposure, combined with abnormal gut host and microbial signals, persists despite effective treatments in #CrohnsDisease. Addressing these gaps could improve patient health. ๐Ÿ”— ow.ly/6xrg50YUzKC
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HabermanLab retweeted
Rewarding to see our @HabermanLab study featured on the cover, laying the conceptual framework to underlying mechanism of escape from AT remission (=flare) d/t persistent dietary-metabolic gut perturbances. Hence the need for combined AT-nutrition trials @HelmsleyTrust
๐Ÿ“ฃ The May issue of #Gastroenterology is now online! This issue includes: โœ… The biography of the incoming AGA president โœ… A study on the role of APC mosaicism in #colorectaladenomas โœ… An article on a novel screening method for #ALD โœ… ...and more! ๐Ÿ”— ow.ly/6N2q50YMLsP
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HabermanLab retweeted
๐Ÿ“ฃ The May issue of #Gastroenterology is now online! This issue includes: โœ… The biography of the incoming AGA president โœ… A study on the role of APC mosaicism in #colorectaladenomas โœ… An article on a novel screening method for #ALD โœ… ...and more! ๐Ÿ”— ow.ly/6N2q50YMLsP
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2/2 We use IBD proof-of-concept model for prioritizing epithelial-targeted metabolite interventions, showing: 1) IBD fecal contents disturb epithelial functions. 2) This was linked with metabolite levels, which 3) guided prioritizing metabolites that reversed IBD negative effects
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1/2 Congratulations to Tzipi Braun, @HabermanLab, @ShomronH, IIRN CORE study on the publication in Gastroenterology @AGA_Gastro. sciencedirect.com/science/arโ€ฆ We thank @HelmsleyTrust for their support and funding

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2/2 We show that Crohnโ€™s Disease advanced therapies address only one side of the disease: the immune response, while perturbations in diet, the microbiome, metabolites, and epithelial barrier function remain largely untouched during remission. sciencedirect.com/science/arโ€ฆ
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HabermanLab retweeted
The Rosen lab at @StanfordMed identified a lipid-related metabolic dysfunction as a key feature of the #UlcerativeColitis epithelium. They show the potential of patient-derived colonoids as a preclinical model to evaluate epithelial-targeted therapies: go.nature.com/3XYR9SE
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ื’ื™ื•ืก ืกื’ืœ ืืงื“ืžื™ ืœืคืงื•ืœื˜ื” ืœืžื“ืขื™ ื”ืจืคื•ืื” ื•ื”ื‘ืจื™ืื•ืช ื‘ืื•ื ื™ื‘ืจืกื™ื˜ืช ืชืœ ืื‘ื™ื‘ ืœืฉื ืช ื”ืœื™ืžื•ื“ื™ื ืชืฉืค"ื•ย . ื‘ื™ืช ื”ืกืคืจ ืœืจืคื•ืื” ื‘ืื•ื ื™ื‘ืจืกื™ื˜ืช ืชืœ ืื‘ื™ื‘ ืžื—ืคืฉ ืžื•ืขืžื“ื•ืช ื•ืžื•ืขืžื“ื™ื ื‘ื›ืœ ื”ื“ืจื’ื•ืช ื”ืืงื“ืžื™ื•ืช. ื”ืžืฉืจื” ื”ื™ื ืชืงื ื™ืช ื•ืขืฉื•ื™ื” ืœื”ื•ื‘ื™ืœ ืœืžืขืžื“ ืฉืœ ืงื‘ื™ืขื•ืช ื‘ืชื•ื ืชืงื•ืคืช ื”ื ื™ืกื™ื•ืŸ. med.tau.ac.il/positions-med-โ€ฆ
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The School of Medicine @TelAvivUni seeks outstanding candidates to fill tenure-track faculty positions at level of Senior Lecturer/Assistant Professor & Associate Professor for fall of 2025. Deadline Oct 13, 2024. More info at:ย en-med.tau.ac.il/FOM-positioโ€ฆ
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HabermanLab retweeted
Mucosal transcriptomics highlight lncRNAs implicated in ulcerative colitis, Crohnโ€™s disease, and celiac disease: buff.ly/43SbNnO @HabermanLab @TelAvivUni #Gastroenterology
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HabermanLab retweeted
24 May 2022
Dr Habean from @ShomronH team with some intriguing data on diet ,metabolite and microbiome interaction from the SOURCE cohort #DDW2022
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2/6 In the study, we performed a meta-analysis of 59 disease cohorts (covering 28 different diseases) with a total of approx. 13000 samples.
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3/6 To overcome the cohort/experimental pipeline differences, we performed a case-control comparison within each disease cohort, identifying the ASVs changing in each disease, and combined the per-bacteria change across all cohorts.
4/6 We observed that ASVs that are significantly higher/lower in cases compared to controls in one disease cohort, tend to show the same direction of change in many other disease cohorts.
5/6 Using a random forest classifier trained on one disease, we can in many cases identify cases/controls in a different disease with high AUC, thus raising the concern of using microbial signatures to identify a specific disease without taking into account additional diseases.
6/6 In addition we identify a small subset of bacteria that are specific only to Inflammatory Bowel Disease. These bacteria may be more directly associated to gut inflammation, and potentially may be used as biomarkers and as future targets for interventions.