Congratulations to all the authors for this important work 👏🏼👏🏼👏🏼 We thank @weandmecfs @polybioRF and Carol Cirot Foundation, NIH and @HHMINEWS for supporting this work, and for all the patients for heroically donating CSF for our research 🙏🏼 (end)

Channel
Prof. Akiko Iwasaki
@VirusesImmunity
On this record: Growth · Engagement · What this channel posts · Posts · Citations · Handles named that no longer answer · Cite this entry
3subscribers
+0 since we began measuring on 12 August 2026
Risers and fallers across the register · movement among entries of Under 1,000.
Register entry
| Telegram ID | -1002645379571 |
|---|---|
| Type | Channel |
| Username | @VirusesImmunity |
| Description | We study antiviral immunity and viral disease pathogenesis. #COVID19 #longCOVID #vaccines @HHMINEWS @YaleIBIO @YaleMed @YaleCII |
| Created | 5 May 2025 — measured — dated from the channel’s first post |
| First recorded | 13 August 2026 |
| Last confirmed live | 13 August 2026 |
| Measurements held | 2 |
| On Telegram | t.me/VirusesImmunity |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 13 Aug 2026, 16:47 | 3 | no change |
| 12 Aug 2026, 09:01 | 3 | first reading |
Engagement
17 posts held, back to 5 May 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 17 posts for this entry, the most recent from 19 May 2025. An engagement rate over an empty window would be a number about nothing.
What this channel posts
- Photos
- 8
- Links
- 8
Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Recent posts
While we do not know why some people with ME/CFS have elevated MMPs and cytokines, our data suggest potentially distinct drivers of disease that manifest in similar clinical phenotypes. Future studies are needed to probe therapeutic pathways suitable for these clusters. (4/)
Published today! Victoria Bastos, @KerrieGreene_ et al found two distinct immunotypes of ME/CFS based on the cerebrospinal fluid analysis. Great collaboration with @MBVanElzakker @microbeminded2 and the Bragée clinic in Sweden. (1/) https://academic.oup.com/jimmunol/advance-article/doi/10.1093/jimmun/vkaf087/8133211?login=false
Looking forward to participating in the @polybioRF symposium today. From @YaleCII, I'll talk about autoantibodies, Victoria Bastos will discuss ME CFS immunotypes based on CSF and @esensefik will discuss humanized mouse model of viral RNA persistence 👇🏼 polybio.org/spring-2025-sy…
Congratulations to the authors @Kwon_Dongil @tianyangmao @BenIsraelow @keylas3 and Huiping Dong for this incredible work 👏🏼👏🏼👏🏼 (end)
Finally, repeated nasal spike boosters elevated respiratory IgA responses even further. We hope the principle of a simple nasal viral antigen booster can be used for future vaccines that block infection and transmission against a variety of respiratory viruses. (4/)
Published today📣 Our nasal booster in the "Prime & Spike" vaccine works without adjuvants (which are needed to induce adaptive immunity but also cause inflammation). @Kwon_Dongil @tianyangmao @BenIsraelow et al. asked how this is possible. (1/) https://www.nature.com/articles/s41590-025-02156-0
A great interview by @betsyladyzhets of @ahandvanish describing the upcoming @KeystoneSymp meeting on Long COVID and Post-Acute Infection Syndromes. How incredibly fortunate to have @ahandvanish as co-organizer of this important meeting 🙏🏼 https://x.com/thesicktimes/status/1920974665985524215?t=iQe3AcpxUDUIW227CckCVQ&s=19
Next week, we are hosting an international scientific workshop focused on the pathogenesis of #LongCovid at @YaleMed. Please join us on May 15th to learn about what we know and what we need to investigate next to get to the root causes ⏩ therapies 👇🏼👇🏼 @YaleCII
This prospective observational study led by @connorbgrady @bornali_27 @SilvaJ_C @hmkyale examined the impact of the primary COVID-19 vaccination on the symptoms and immune signatures of 16 people with #longCOVID. Here is what we found 👇🏼 (1/) https://www.nature.com/articles/s43856-025-00829-3
So grateful to the many people who made this study possible. Special thank you to all the participants who did a heroic job of completing all the surveys and traveling to Yale to donate blood three times 🙏🏼 (end)
Submit your abstract and apply for a scholarship by May 13th to share your research in #longCOVID and other post-acute infection syndromes at this upcoming @KeystoneSymp 👇🏼👇🏼 Looking forward to seeing you in Santa Fe! #KSLongCOVID26 https://x.com/KeystoneSymp/status/1920161985364185208?t=5NmOCyqKW1no7MZDUHaaHw&s=19
Showing the 12 most recent of 17 posts we hold for @VirusesImmunity. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Citation-graph rank
Citation-graph rank — 1,392,647 of 1,481,217entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Mentions
Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Handles this channel named that no longer answer
- Dead references
- 22
- handles named in this channel’s posts, vacant today
- Evidenced gone
- 0
- we ourselves saw one of these resolve, at some point
- Never seen alive
- 22
- vacant every time we have ever looked
@VirusesImmunity named 22 handles that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all.A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
named in 2 posts, 14 August 2026 – 14 August 2026
named in 2 posts, 14 August 2026 – 14 August 2026
named in 2 posts, 14 August 2026 – 14 August 2026
named in 2 posts, 14 August 2026 – 14 August 2026
named in 2 posts, 14 August 2026 – 14 August 2026
named in 2 posts, 14 August 2026 – 14 August 2026
named in 2 posts, 14 August 2026 – 14 August 2026
named in 2 posts, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
named in 1 post, 14 August 2026 – 14 August 2026
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 13 August 2026 — this entry's latest reading, not the date you are reading this.
“Prof. Akiko Iwasaki” (@VirusesImmunity), 3 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/VirusesImmunity.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.