Langendorff-free dissociation of adult mouse hearts https://www.nature.com/articles/s41569-026-01346-z Nature Reviews Cardiology, Published online: 02 September 2026; doi:10.1038/s41569-026-01346-z (https://www.nature.com/articles/s41569-026-01346-z)In this Tools of the Trade, Ackers-Johnson and Pavlovic describe a Langendorff-free approach to isolate cardiomyocytes without the technical hurdles associated with the …

Channel
Cardiology Updates
@Cardiology_Updates
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
19,851subscribers
+926 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 10,000–31,623.
Register entry
| Telegram ID | -1001448704621 |
|---|---|
| Type | Channel |
| Username | @Cardiology_Updates |
| Created | Between 1 April 2019 and 31 October 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 25 September 2026 |
| Measurements held | 34 |
| Confirmed unchanged | 1 time, most recently 25 September 2026 |
| On Telegram | t.me/Cardiology_Updates |
Topic
Science — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 77% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 25 Sept 2026, 04:58 | 19,851 | +137 |
| 18 Sept 2026, 22:38 | 19,714 | +48 |
| 16 Sept 2026, 10:37 | 19,666 | +37 |
| 14 Sept 2026, 15:58 | 19,629 | +26 |
| 13 Sept 2026, 03:01 | 19,603 | +44 |
| 11 Sept 2026, 07:37 | 19,559 | +29 |
| 8 Sept 2026, 11:58 | 19,530 | +53 |
| 5 Sept 2026, 10:01 | 19,477 | +23 |
| 3 Sept 2026, 12:59 | 19,454 | +10 |
| 2 Sept 2026, 09:22 | 19,444 | +15 |
| 1 Sept 2026, 09:34 | 19,429 | +8 |
| 31 Aug 2026, 12:04 | 19,421 | +18 |
| 30 Aug 2026, 08:37 | 19,403 | +30 |
| 29 Aug 2026, 06:57 | 19,373 | +21 |
| 28 Aug 2026, 08:54 | 19,352 | +5 |
| 27 Aug 2026, 10:07 | 19,347 | +31 |
| 26 Aug 2026, 06:43 | 19,316 | +16 |
| 25 Aug 2026, 04:14 | 19,300 | +12 |
| 23 Aug 2026, 20:53 | 19,288 | +57 |
| 22 Aug 2026, 02:05 | 19,231 | first reading |
Engagement
32 posts held, back to 26 June 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 55 pages of Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 3.24%
- avg views ÷ 19,851 subscribers
- Avg views / post
- 643
- 2 posts measured
- Reaction rate
- —
- this channel exposes no reaction counts
- Posts in window
- 2
- of 32 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 2 September 2026 |
|---|---|
| Posts held | 32 (26 June 2026 – 2 September 2026) |
| Views total | 1,286 |
| Reactions total | — |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 3 Sept 2026, 01:15 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
Reaction mix
32 reactions across 17 posts, in 3 distinct kinds. The most used accounts for 87.5% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 28 | 87.5% | |
| 👍 | 3 | 9.38% | |
| 🙏 | 1 | 3.13% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 23 of the 32 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 32 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 32 most recent posts we hold, published 26 June 2026 to 2 September 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Identifying the coronary metabolic dilator https://www.nature.com/articles/s41569-026-01345-0 Nature Reviews Cardiology, Published online: 01 September 2026; doi:10.1038/s41569-026-01345-0 (https://www.nature.com/articles/s41569-026-01345-0)Adam Goodwill discusses Eric Feigl’s seminal description of coronary physiology and how his paper shaped research into the mechanisms by which coronary blood flow is matched to m…
https://www.instagram.com/updates_in_medicine?igsi=eWJ2N3p2MmxvNXJ0&utm_source=qr
❤1
Dyslipidaemia and hepatic steatosis: mechanisms and implications for lipid-lowering therapy https://www.nature.com/articles/s41569-026-01336-1 Nature Reviews Cardiology, Published online: 27 August 2026; doi:10.1038/s41569-026-01336-1 (https://www.nature.com/articles/s41569-026-01336-1)Dyslipidaemia and hepatic steatosis are interconnected disorders that contribute to the burden of cardiovascular disease. Understand…
❤2
Reply to ‘Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping’ https://www.nature.com/articles/s41569-026-01343-2 Nature Reviews Cardiology, Published online: 27 August 2026; doi:10.1038/s41569-026-01343-2 (https://www.nature.com/articles/s41569-026-01343-2)Reply to ‘Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping’
Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping https://www.nature.com/articles/s41569-026-01344-1 Nature Reviews Cardiology, Published online: 27 August 2026; doi:10.1038/s41569-026-01344-1 (https://www.nature.com/articles/s41569-026-01344-1)Bedside epicardial adipose tissue assessment in the era of advanced adipose phenotyping
Nicotine-containing products and the cardiovascular system: mechanisms and global health implications https://www.nature.com/articles/s41569-026-01331-6 Nature Reviews Cardiology, Published online: 20 August 2026; doi:10.1038/s41569-026-01331-6 (https://www.nature.com/articles/s41569-026-01331-6)In this Review, Münzel and colleagues discuss the available mechanistic, biomarker, preclinical and clinical data on the c…
Cardiovascular research in China: pathways, incentives and editorial implications https://www.nature.com/articles/s41569-026-01341-4 Nature Reviews Cardiology, Published online: 19 August 2026; doi:10.1038/s41569-026-01341-4 (https://www.nature.com/articles/s41569-026-01341-4)The cardiovascular research landscape in China is shaped by a tiered, hospital-centred system, expanding funding opportunities and strong clin…
❤1
Cardiac fibroblast diversity in HFpEF: states, niches, interorgan drivers and targets https://www.nature.com/articles/s41569-026-01335-2 Nature Reviews Cardiology, Published online: 18 August 2026; doi:10.1038/s41569-026-01335-2 (https://www.nature.com/articles/s41569-026-01335-2)Myocardial fibrosis is a key structural and prognostically adverse feature of heart failure with preserved ejection fraction (HFpEF). In t…
❤1
Atherosclerotic plaque-derived microparticles as exporters of thrombotic risk https://www.nature.com/articles/s41569-026-01340-5 Nature Reviews Cardiology, Published online: 18 August 2026; doi:10.1038/s41569-026-01340-5 (https://www.nature.com/articles/s41569-026-01340-5)Tipack Shanmugam discusses a study showing that microparticles released from atherosclerotic plaque can increase thrombotic risk and proposes that…
Uncovering the role of chromatin organization and dynamics in heart disease https://www.nature.com/articles/s41569-026-01338-z Nature Reviews Cardiology, Published online: 11 August 2026; doi:10.1038/s41569-026-01338-z (https://www.nature.com/articles/s41569-026-01338-z)Two studies published in Science explore how 3D chromatin organization and structure can influence cardiac development and promote heart failure.
The biomechanical environment of coronary atherosclerotic plaque rupture https://www.nature.com/articles/s41569-026-01337-0 Nature Reviews Cardiology, Published online: 11 August 2026; doi:10.1038/s41569-026-01337-0 (https://www.nature.com/articles/s41569-026-01337-0)Tsiartas and Bennett discuss the discovery that atheroclerotic plaque vulnerability to rupture arises from the interaction between plaque composition a…
Showing the 12 most recent of 32 posts we hold for @Cardiology_Updates. 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.
Forward network
Republishes
Channels on the register whose posts this channel has forwarded.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
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.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@Neurology_Updates · 16,392#1
@JAMAupdates · 16,470#2
@British_Medical_Journal · 13,692#3
@Emergency_medicine_Updates · 18,040#4
@respiratoryupdates · 19,947#5
@Rheumatology_Updates · 9,172#6
@ClinicalPharmGuideline · 60,754#7
@ahmedyasminc1 · 26,065#8
@Endocrinology_and_Diabetes · 10,740#9
@Nature_Medicine · 6,963#10
@MEDSCAPEnews · 17,541#11
@CARIOLOGY · 6,603#12
@CriticalCareUpdates · 20,007#13
@Nephrology_Updates · 5,836#14
@Haematology_Updates · 6,945#15
@The_NEJM · 27,444#16
@The_Lancet · 17,890#17
@InfectionUpdates · 7,923#18
@criticalcaresnippets · 14,164#19
@nephrology_books · 7,832#20
@Respiratory_Updates · 5,175#21
@Dermatology_Updates · 9,706#22
@cardiologyresident98 · 6,150#23
@xraydiscuss · 6,097#24
@Cardiac_Anaesthesia · 8,623#25
@theicuchannel · 13,401#26
@doctorsnotebooks · 24,888#27
@GIPharmacotherapy · 6,460#28
@Buy_Cardiology_videos · 7,160#29
@HakimApps_Guideline · 32,777#30
@Gastroenterology_Updates · 4,888#31
@Updates_in_Medicine · 48,203#32
@dailycardiology · 7,281#33
@internalmed · 7,220#34
@Radiology_Updates · 5,802#35
@Respiratory_Care_Global · 17,097#36
@medicinaintensivaalamano · 23,009#37
@loacro01 · 30,709#38
@GynObsUpdates · 11,307#39
@Updates_in_GP · 2,087#40
@Anesthesia_Updates · 8,438#41
@Cardiovascular_Pharmacotherapy · 4,785#42
@rheumatology_books · 5,254#43
@Medical_News_Channel · 3,612#44
@Medustudy_samples · 7,935#45
@Cardiologyvideo · 6,587 (as read 30 September 2026)#46
@Psychiatry_Updates · 4,042#47
@inter_first · 29,813#48
@Mmmmmm221234 · 36,116#49
@drwaieltajjour · 4,794#50
@Medical_journals_and_updates · 13,353#51
@cardiomedhod · 6,857#52
@Surgery_Updates · 6,394#53
@alaaalali_ID · 9,063#54
@Pediatric_Updates · 11,169#55
@easymedicine7 · 29,377#56
@anesthesiaICUupsates · 9,836#57
@skills_first · 42,535#58
@librospediatria · 20,676#59
@medicinaIntern · 41,143#60
@medicalamboss1 · 5,653#61
@gastrointestinal_books · 7,867#62
@medicaljournalsandguidelines · 2,843#63
@Cardiology_premium_videos · 14,959#64
@criticalcaremedicin · 21,126#65
@intmed_tash · 5,129#66
@echocardiograph · 9,611#67
@neropsychtel · 8,070#68
@woslermed · 19,535#69
@criticalcare_courses · 8,427#70
@NizomovN · 2,645#71
@echocardiographyboardreview · 3,568#72
@pedscard · 4,719#73
@youngindiaintensivist · 2,911#74
@memodiapparticulos · 22,843#75
@eaglescholars · 14,424#76
@welcome_4 · 12,612#77
@INTERNALMEDICINEBOARD · 13,863#78
@hist_first · 21,099#79
Read from Telegram’s recommendation API, most recently 30 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@respiratoryupdates · 19,947
Telegram ranks this channel #5 of 79 here — alongside 78 others — read 30 September 2026
@CriticalCareUpdates · 20,007
Telegram ranks this channel #6 of 79 here — alongside 78 others — read 29 September 2026
@ClinicalPharmGuideline · 60,754
Telegram ranks this channel #6 of 78 here — alongside 77 others — read 22 August 2026
@easymedicine7 · 29,377
Telegram ranks this channel #8 of 73 here — alongside 72 others — read 8 September 2026
@HakimApps_Guideline · 32,777
Telegram ranks this channel #8 of 80 here — alongside 79 others — read 5 September 2026
@The_NEJM · 27,444
Telegram ranks this channel #9 of 79 here — alongside 78 others — read 11 September 2026
@doctorsnotebooks · 24,888
Telegram ranks this channel #10 of 75 here — alongside 74 others — read 16 September 2026
@ahmedyasminc1 · 26,065
Telegram ranks this channel #10 of 75 here — alongside 74 others — read 13 September 2026
@mbbsmaterials · 67,343
Telegram ranks this channel #11 of 64 here — alongside 63 others — read 26 August 2026
@Oxfordhandbookk · 20,620
Telegram ranks this channel #12 of 74 here — alongside 73 others — read 26 September 2026
@Internal_medicine_material · 20,709
Telegram ranks this channel #12 of 80 here — alongside 79 others — read 26 September 2026
@Updates_in_Medicine · 48,203
Telegram ranks this channel #13 of 74 here — alongside 73 others — read 26 August 2026
@first_aid2026 · 24,263
Telegram ranks this channel #14 of 74 here — alongside 73 others — read 17 September 2026
@inter_first · 29,813
Telegram ranks this channel #14 of 72 here — alongside 71 others — read 8 September 2026
@MedicalBooksStoreA · 42,521
Telegram ranks this channel #16 of 67 here — alongside 66 others — read 29 August 2026
@loacro01 · 30,709
Telegram ranks this channel #17 of 72 here — alongside 71 others — read 7 September 2026
@Mmmmmm221234 · 36,116
Telegram ranks this channel #17 of 66 here — alongside 65 others — read 2 September 2026
@medicinevideoss · 102,991
Telegram ranks this channel #18 of 75 here — alongside 74 others — read 26 August 2026
@skills_first · 42,535
Telegram ranks this channel #20 of 73 here — alongside 72 others — read 29 August 2026
@librospediatria · 20,676
Telegram ranks this channel #24 of 79 here — alongside 78 others — read 26 September 2026
@medicinaintensivaalamano · 23,009
Telegram ranks this channel #26 of 75 here — alongside 74 others — read 19 September 2026
@AlAzharAssiutMedicalSchool · 26,714
Telegram ranks this channel #26 of 73 here — alongside 72 others — read 13 September 2026
@medicinaIntern · 41,143
Telegram ranks this channel #29 of 71 here — alongside 70 others — read 30 August 2026
@criticalcaremedicin · 21,126
Telegram ranks this channel #30 of 78 here — alongside 77 others — read 24 September 2026
This channel appears in 46 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 25 September 2026 — this entry's latest reading, not the date you are reading this.
“Cardiology Updates” (@Cardiology_Updates), 19,851 subscribers as measured 25 September 2026. Telegram Register, tgregister.com/channel/Cardiology_Updates.
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.