For those who haven’t watched the Netflix series ‘Dark’ I highly encourage you to do so. This is the most fascinating television series made so far. It has just has three seasons, but makes you think for a long long time after you have finished watching it.
I will not give out spoilers but I have a theory which I would like to put.
Dark, right from season 1 talks about loops. Talking about loops, we always ask this question, “What came first, the chicken or the egg ?”.
There is no clear answer for but one thing is clear, it is a loop. The series ‘Dark’ keeps asking this question again and again, ‘what came first ?’
The same thing exists for life itself.
While we can answer most of what we understand from Darwin’s theory of evolution, one thing we cannot answer is, “what made the first living cell from which everything evolved ?”
The answer is an infinite loop. Life and the universe that we know exists in an infinite loop.
Only thing, it is perhaps not infinite but it is pretty darn long. With every motion through the loop, there is an error which creeps in. This error in biological terms refers to ‘mutation’.
So every life that is ‘born’ then dies, but every time he , she or it is born, it also transmits life to the next generation with a change in the genetic code allowing a new loop to begin.
The new loop , the new life could exist in parallel and continue to exist when the original loop of the parent dies. At some point the mutation starts showing its colors, but no one lives long enough to see the change happen.
We only know that it does happen and some point it will lead to the breaking of the infinite loop.
Perhaps with our evolution into a human being has brought us close to the end of breaking the infinite loops.
Perhaps it is humans who will break the life and death cycle by either making us immortal or killing us all.
I know this is all philosophical rambling, but it is difficult to explain a breakthrough thought that I am having in just a few words on a social media page.
It perhaps needs a book. Perhaps this is a seed of a book. A beginning of a new loop.
In summary, watch the show and then we will discuss more.
🧵 Twitter Thread: The Surprising Case of a 6-Year-Old with Diabetes Mellitus
1/ Hey Twitterverse! 🌟 Today, I want to share an intriguing case that highlights the importance of considering all possibilities when diagnosing diabetes in children. Meet a 6-year-old boy who presented with newly diagnosed diabetes mellitus. #Diabetes #MODY #Pediatrics
2/ At first, we thought of the typical type 1 diabetes, which is quite common in children. So, we treated him accordingly with insulin therapy. But there was something that didn't quite add up. 🤔 #Type1Diabetes #InsulinTherapy
Oxytocin Deficiency in Patients with Diabetes Insipidus 🧪🩺
1/ Oxytocin deficiency in patients with diabetes insipidus (DI) has been investigated in a recent study published in The Lancet Diabetes & Endocrinology. Let's dive into the key findings and implications of this research!
2/ The study aimed to explore oxytocin deficiency in patients with arginine vasopressin deficiency (central DI) by using 3,4-methylenedioxymethamphetamine (MDMA), a potent activator of the central oxytocinergic system. This was a case-control study conducted at 🇨🇭
MC Thomas in his article argues that Type 2 Diabetes should be renamed the "CARAMEL Disease" (A 🧵)
What does CARAMEL stand for ?
CARAMEL stands for CArdiac, Renal, Adipo-Metabolic, Eye and Liver disease
His argument is that Type 2 diabetes is a mere manifestation of the "actual disease". So are the other manifestation of the CARAMEL acronym which all arise from the common soil... So that this common soil?
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1/5: 🩸 The Hemoglobin Glycation Index (HGI) compares a person’s actual HbA1c level to their predicted level based GMI (glucose management index) value from CGM
2/5: 📊 The HGI is calculated by subtracting the estimated HbA1c from the measured HbA1c. A high HGI suggests increased glycation rate, linked to microvascular complications in diabetes.
The Clarke Error Grid Analysis (EGA) is a tool developed in 1987 to assess the clinical accuracy of blood glucose meters by comparing their readings to reference values.
The grid breaks down a scatterplot of a reference glucose meter and an evaluated glucose meter into five regions:
Region A are those values within 20% of the reference sensor,