full transcript

From the Ted Talk by Tony Wyss-Coray: How young blood might help reverse aging. Yes, really

Unscramble the Blue Letters


So there's this unbalance of good and bad factors, if you will. And to illustrate what we can do ptlialneoty with that, I want to talk you through an exeenprmit that we did. We had almost 300 blood samples from healthy huamn beings 20 to 89 yraes of age, and we measured over 100 of these communication factors, these hormone-like proteins that transport information between tissues. And what we noticed first is that between the youngest and the oldest group, about half the factors changed significantly. So our body lives in a very different eomivrennnt as we get older, when it comes to these factors. And using statistical or bioinformatics programs, we could try to dcseoivr those factors that best preidct age — in a way, back-calculate the relative age of a poesrn. And the way this looks is shown in this graph. So, on the one axis you see the actual age a person lived, the chronological age. So, how many years they lived.

Open Cloze


So there's this unbalance of good and bad factors, if you will. And to illustrate what we can do ___________ with that, I want to talk you through an __________ that we did. We had almost 300 blood samples from healthy _____ beings 20 to 89 _____ of age, and we measured over 100 of these communication factors, these hormone-like proteins that transport information between tissues. And what we noticed first is that between the youngest and the oldest group, about half the factors changed significantly. So our body lives in a very different ___________ as we get older, when it comes to these factors. And using statistical or bioinformatics programs, we could try to ________ those factors that best _______ age — in a way, back-calculate the relative age of a ______. And the way this looks is shown in this graph. So, on the one axis you see the actual age a person lived, the chronological age. So, how many years they lived.

Solution


  1. environment
  2. discover
  3. human
  4. years
  5. person
  6. potentially
  7. experiment
  8. predict

Original Text


So there's this unbalance of good and bad factors, if you will. And to illustrate what we can do potentially with that, I want to talk you through an experiment that we did. We had almost 300 blood samples from healthy human beings 20 to 89 years of age, and we measured over 100 of these communication factors, these hormone-like proteins that transport information between tissues. And what we noticed first is that between the youngest and the oldest group, about half the factors changed significantly. So our body lives in a very different environment as we get older, when it comes to these factors. And using statistical or bioinformatics programs, we could try to discover those factors that best predict age — in a way, back-calculate the relative age of a person. And the way this looks is shown in this graph. So, on the one axis you see the actual age a person lived, the chronological age. So, how many years they lived.

Frequently Occurring Word Combinations


ngrams of length 2

collocation frequency
young human 4
young blood 3
young mice 2
model called 2
transport information 2
factors change 2
relative age 2
biological age 2
human plasma 2
young mouse 2

ngrams of length 3

collocation frequency
young human plasma 2

Important Words


  1. actual
  2. age
  3. axis
  4. bad
  5. beings
  6. bioinformatics
  7. blood
  8. body
  9. changed
  10. chronological
  11. communication
  12. discover
  13. environment
  14. experiment
  15. factors
  16. good
  17. graph
  18. group
  19. healthy
  20. human
  21. illustrate
  22. information
  23. lived
  24. lives
  25. measured
  26. noticed
  27. older
  28. oldest
  29. person
  30. potentially
  31. predict
  32. programs
  33. proteins
  34. relative
  35. samples
  36. shown
  37. significantly
  38. statistical
  39. talk
  40. tissues
  41. transport
  42. unbalance
  43. years
  44. youngest