Marcel Behr

@mbehr-mcgill.bsky.social

Clinician-scientist. Epidemiology and pathogenesis of mycobacterial infections.

I agree with everything said by @mycolates.bsky.social in this thread, except the penultimate sentence. To my eyes, figure shows that Mtb diverged from animal lineages after the blue box (loss of spacers). Whether their common ancestor was Mtb is uncertain. Prefer to call this 'MTBCo '.

Louis Ates@mycolates.bsky.social · 10mo ago

BTW Roland was my PostDoc supervisor so I'm certainly biased. But this paper is incredible. It showed beyond doubt that M. bovis and "africanum" (L5/L6) descent from Mtb and that in turn from M. canettii. So much history in one figure!

👇Great thread on TB strain concordance/strain discordance among household contacts. If I read correctly, findings from a 1998 small series from San Francisco consistent with the much greater analysis. ++ Implications for transmission and management of contacts.

Tom Yates@tomayates.bsky.social · 10mo ago

NEW PREPRINT! We systematically reviewed molecular epidemiology studies looking at strain discordance in pairs of people with TB disease and history of household contact We found 30 studies from 18 countries. Excluding 4 studies at high risk of bias, we had data on 1544 household case pairs [1/n]

It has been often observed that TB rates go up from childhood to adolescence, suggesting that children under 14 are relatively resistant and/or adolescents are more susceptible. Could the rise in incidence be explained instead by transmission effects you report?

Katherine Horton@kchorton.bsky.social · last yr.

Across age groups, TB exposure typically peaked in adolescence. However, transmission contributions by age varied across regions with the highest proportion from adolescents aged 15-24 in AMR and SEAR, adults aged 35-44 in AFR and EUR, and older adults 65+ in EMR and WPR. [NOT YET PEER REVIEWED]

Starting conversation for mycobacteria researchers. 1) mycobacteria have strange cell wall, 2) mycobacterial infections are hard to treat. Is 1) the CAUSE of 2)? For broad spectrum antibiotics that work (rifampin, levofloxacin, linezolid), do they get into mycobacteria at lower concentrations?

Ed@edballister.bsky.social · last yr.

Marcel Behr @mbehr-mcgill.bsky.social is on here. Not sure about Lali Ramakrishnan. I’m a nobody, but in my brief time working on TB, I was super impressed by their willingness to question what had become a widely cited dogma.

Sihem Belhocine put this quote at the start of her thesis: "If many remedies are prescribed for an illness, you may be certain that the illness has no cure." Anton Chekhov, The Cherry Orchard, 1904 (the year he died of tuberculosis). Does this adage hold true in 2025?

Question to academics: I've been on several editorial boards before, but until now, never been asked by to sign a 16-page legal contract, including a section on my obligations. Unpaid role. Is this the new norm?

Hi Peter, A further point. It's brilliant that UK publishes its M. Bovis data. Now that WHO and WOAH recognize that definition of zoonotic TB extends to M. Orygis as well, I would be curious to see the same type of data for M. Orygis cases. So far, just scattered case series, nothing systematic.

Peter MacPherson@petermacp.bsky.social · 2y ago

Just checked, and notification data for UK here, nicely disaggregated by age, sex, and immigration status. See also link to .csv files. In UK consistently more men than women notified with M. Bovis

Hi Peter. I don't know about exposure. Harder to do in immigrants to e.g., Canada, Australia asking about exposure in country of birth. Maybe can be done in places where local exposure? Are there good data in the UK?

Peter MacPherson@petermacp.bsky.social · 2y ago

Marcel - apologies I completely missed this post! Interesting, and would be good to systematically collate data. Would there be sex differences in exposure to infected animals, ie women more likely to care for/milk cattle?

Compelling analysis suggesting that M:F difference in TB rates driven by differences in rates of Mtb infection. Consistent with old (2000) analysis of genotypic clustering (PMID: 10654640). But why do zoonotic TB series often have flipped ratios? doi: 10.1093/infdis/jiae124

Hannah Rickman@hannahrickman.bsky.social · 2y ago

New preprint (with all pre-print caveats!) tinyurl.com/589ffhu4 on Mtb infection risk by sex & age. Men are at higher risk of #tuberculosis v women- but unclear how much driven by higher infection vs progression to disease. We meta-analysed Mtb immunoreactivity surveys to find out more🧵 #tbsky