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Cholesterol and My Gut
Microbiome
Richard Sprague
July 1, 2015
You
Weight
Human Non-Human
Cells
Human Non-Human
Genes
Human Non-Human
3 pounds
Find which microbes you have
Bacteroides Plebeius
Hacking my microbiome
0
10000
20000
30000
40000
50000
60000
70000
May Jun Oct Jan Feb
Bifidobacterium
Did it help my sleep?
No
Microbiome changes over time
David et al: Host lifestyle affects human microbiota on daily timescales
Genome Biology 2014, 15:R8
April 21
April 28
Date CaloriesCarbs Fat Protein
Cholest
erol Sodium Sugars Fibre
1-Apr-15 2136 351 50 81 140 1687 86 28
2-Apr-15 1098 148 42 67 155 1374 49 25
3-Apr-15 221 27 8 8 35 153 17 0
4-Apr-15 1643 133 231 89 235 3430 42 18
5-Apr-15 2210 193 430 92 363 3455 76 13
6-Apr-15 1621 184 76 54 169 1450 111 6
7-Apr-15 1499 106 65 148 423 4307 49 12
8-Apr-15 1406 111 63 74 240 2264 47 11
9-Apr-15 1522 149 52 76 399 2395 17 15
10-Apr-15 1376 109 266 85 288 2372 5 19
11-Apr-15 1454 192 42 67 313 2455 43 17
12-Apr-15 1245 156 34 86 235 2089 46 19
13-Apr-15 1190 101 50 117 328 814 70 8
14-Apr-15 1774 209 70 82 110 981 75 25
15-Apr-15 1765 140 70 112 312 931 27 15
16-Apr-15 2107 185 88 93 232 1568 59 22
17-Apr-15 2355 297 240 125 248 1284 147 15
18-Apr-15 2673 343 78 130 295 4132 101 16
19-Apr-15 2099 203 95 89 245 1974 72 10
20-Apr-15 1716 180 57 133 283 1888 65 20
21-Apr-15 2099 145 109 123 201 2831 42 17
22-Apr-15 2605 226 114 115 216 4017 88 20
23-Apr-15 1688 197 231 93 222 2825 40 19
24-Apr-15 1893 242 68 114 302 2232 83 15
25-Apr-15 2908 398 101 105 295 4069 200 19
26-Apr-15 3119 294 200 123 401 3003 40 15
27-Apr-15 1386 191 50 88 199 723 55 13
28-Apr-15 1713 187 66 87 225 2484 48 8
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
One Week Change in my Microbiome
21-Apr 28-Apr
Macronutrients
Date Calories Carbs Fat Protein Cholesterol Sodium Sugars Fibre
Average (month) 1841.7 192.2 102.7 94.9 268.0 2298.5 64.1 15.2
Average (test period) 2242.6 241.9 124.7 108.7 262.3 2814.3 78.3 16.9
Difference from Ave 400.9 49.7 22.0 13.9 -5.7 515.7 14.2 1.6
% Diff from Ave 122% 126% 121% 115% 98% 122% 122% 111%
Microbes and cholesterol
Increased after one week
Tax_name Change
Roseburia 41427
Faecalibacterium 33862
Bacteroides 24346
Lachnospira 13601
Lactobacillus 9874
Same!
Next Steps
How you can start too
• Do multiple tests and do A/B experiments
• Download taxonomy data and convert to
Excel
• Track key species
• Tell everyone!
Thank you
@sprague
What to track
May Jun Oct Jan Feb 21-Apr 28-Apr
Faecalibacterium
prausnitzii 99571 62316 5790 95382 136354 106400 165582species
Roseburia 13554 11157 7825 42782 10750 7952 49379genus
Christensenellaceae 82585 39713 40290 40977 13530 family
Christensenella 269NA 38 17NA 126 92genus
Akkermansia 30960 19654 7648 6269NA 11611 9538genus
Bifidobacteria Longum 32NA 1858 9571 2115 452 0species
Bifidobacterium 8473 6532 58747 66516 6919 7072 49genus
B. Longum as % of
total Bifido 0.38%NA 3.16% 14.39% 30.57% 6.39% 0.00%
Bacteroidetes/Firmicut
es ratio 41.09% 64.58% 47.09% 22.84% 21.93% 12.10% 19.74%
Clostridium 35012 41679 71326 66114 17628 37684 2486genus
C. botulinum NA 25 128NA 7 species
C. clostridioforme 28902 35372 15170 24128 16747 species
C. baratii 1223NA 5588 30543 132 282species
My microbiome through time
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
May-14 Jun-14 Oct-14 Jan-15 Feb-15 Apr-15 Apr-15
Actinobacteria
Euryarchaeota
Unclassified
Verrucomicrobia
Proteobacteria
Bacteroidetes
Firmicutes
0
20
40
60
80
100
120
140
160
180
May Jun Oct Jan Feb 21-Apr28-Apr
Diversity through time
Phylum (unique)
Class
Order
Family
Genus
Species
0%
10%
20%
30%
40%
50%
60%
70%
Bifido/Firmicutes
Decreased after one week
Tax_name Change
Firmicutes 127051
Euryarchaeota 22647
Actinobacteria 6852
Verrucomicrobia 2213
Chloroflexi -6
Lentisphaerae -60
Acidobacteria -82
Synergistetes -1040
Spirochaetes -2945
Tenericutes -5530
Proteobacteria -22617
Bacteroidetes -37752
Increased after one week
Tax_name Change
Bacteroidetes 37752
Proteobacteria 22617
Tenericutes 5530
Spirochaetes 2945
Synergistetes 1040
Acidobacteria 82
Lentisphaerae 60
Chloroflexi 6
Verrucomicrobia -2213
Actinobacteria -6852
Euryarchaeota -22647
Firmicutes -127051
Cholesterol and My Gut Microbiome

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Cholesterol and My Gut Microbiome

  • 1. Cholesterol and My Gut Microbiome Richard Sprague July 1, 2015
  • 4.
  • 8. Did it help my sleep? No
  • 9. Microbiome changes over time David et al: Host lifestyle affects human microbiota on daily timescales Genome Biology 2014, 15:R8
  • 11. Date CaloriesCarbs Fat Protein Cholest erol Sodium Sugars Fibre 1-Apr-15 2136 351 50 81 140 1687 86 28 2-Apr-15 1098 148 42 67 155 1374 49 25 3-Apr-15 221 27 8 8 35 153 17 0 4-Apr-15 1643 133 231 89 235 3430 42 18 5-Apr-15 2210 193 430 92 363 3455 76 13 6-Apr-15 1621 184 76 54 169 1450 111 6 7-Apr-15 1499 106 65 148 423 4307 49 12 8-Apr-15 1406 111 63 74 240 2264 47 11 9-Apr-15 1522 149 52 76 399 2395 17 15 10-Apr-15 1376 109 266 85 288 2372 5 19 11-Apr-15 1454 192 42 67 313 2455 43 17 12-Apr-15 1245 156 34 86 235 2089 46 19 13-Apr-15 1190 101 50 117 328 814 70 8 14-Apr-15 1774 209 70 82 110 981 75 25 15-Apr-15 1765 140 70 112 312 931 27 15 16-Apr-15 2107 185 88 93 232 1568 59 22 17-Apr-15 2355 297 240 125 248 1284 147 15 18-Apr-15 2673 343 78 130 295 4132 101 16 19-Apr-15 2099 203 95 89 245 1974 72 10 20-Apr-15 1716 180 57 133 283 1888 65 20 21-Apr-15 2099 145 109 123 201 2831 42 17 22-Apr-15 2605 226 114 115 216 4017 88 20 23-Apr-15 1688 197 231 93 222 2825 40 19 24-Apr-15 1893 242 68 114 302 2232 83 15 25-Apr-15 2908 398 101 105 295 4069 200 19 26-Apr-15 3119 294 200 123 401 3003 40 15 27-Apr-15 1386 191 50 88 199 723 55 13 28-Apr-15 1713 187 66 87 225 2484 48 8
  • 13. Macronutrients Date Calories Carbs Fat Protein Cholesterol Sodium Sugars Fibre Average (month) 1841.7 192.2 102.7 94.9 268.0 2298.5 64.1 15.2 Average (test period) 2242.6 241.9 124.7 108.7 262.3 2814.3 78.3 16.9 Difference from Ave 400.9 49.7 22.0 13.9 -5.7 515.7 14.2 1.6 % Diff from Ave 122% 126% 121% 115% 98% 122% 122% 111%
  • 15. Increased after one week Tax_name Change Roseburia 41427 Faecalibacterium 33862 Bacteroides 24346 Lachnospira 13601 Lactobacillus 9874 Same!
  • 17. How you can start too • Do multiple tests and do A/B experiments • Download taxonomy data and convert to Excel • Track key species • Tell everyone!
  • 19. What to track May Jun Oct Jan Feb 21-Apr 28-Apr Faecalibacterium prausnitzii 99571 62316 5790 95382 136354 106400 165582species Roseburia 13554 11157 7825 42782 10750 7952 49379genus Christensenellaceae 82585 39713 40290 40977 13530 family Christensenella 269NA 38 17NA 126 92genus Akkermansia 30960 19654 7648 6269NA 11611 9538genus Bifidobacteria Longum 32NA 1858 9571 2115 452 0species Bifidobacterium 8473 6532 58747 66516 6919 7072 49genus B. Longum as % of total Bifido 0.38%NA 3.16% 14.39% 30.57% 6.39% 0.00% Bacteroidetes/Firmicut es ratio 41.09% 64.58% 47.09% 22.84% 21.93% 12.10% 19.74% Clostridium 35012 41679 71326 66114 17628 37684 2486genus C. botulinum NA 25 128NA 7 species C. clostridioforme 28902 35372 15170 24128 16747 species C. baratii 1223NA 5588 30543 132 282species
  • 20. My microbiome through time 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% May-14 Jun-14 Oct-14 Jan-15 Feb-15 Apr-15 Apr-15 Actinobacteria Euryarchaeota Unclassified Verrucomicrobia Proteobacteria Bacteroidetes Firmicutes
  • 21. 0 20 40 60 80 100 120 140 160 180 May Jun Oct Jan Feb 21-Apr28-Apr Diversity through time Phylum (unique) Class Order Family Genus Species
  • 23.
  • 24.
  • 25. Decreased after one week Tax_name Change Firmicutes 127051 Euryarchaeota 22647 Actinobacteria 6852 Verrucomicrobia 2213 Chloroflexi -6 Lentisphaerae -60 Acidobacteria -82 Synergistetes -1040 Spirochaetes -2945 Tenericutes -5530 Proteobacteria -22617 Bacteroidetes -37752
  • 26. Increased after one week Tax_name Change Bacteroidetes 37752 Proteobacteria 22617 Tenericutes 5530 Spirochaetes 2945 Synergistetes 1040 Acidobacteria 82 Lentisphaerae 60 Chloroflexi 6 Verrucomicrobia -2213 Actinobacteria -6852 Euryarchaeota -22647 Firmicutes -127051

Editor's Notes

  1. Each costs about $100 uBiome gives you results now in a few weeks (used to be months) uBiome gives you details about your own data, downloadable as JSON.
  2. http://news.sciencemag.org/biology/2010/04/japanese-guts-are-made-sushi My gut has reasonably high numbers of this species, usually only found in Japanese, that lets me metabolize seaweed.
  3. http://blogs.scientificamerican.com/a-blog-around-the-clock/myths-about-myths-about-thanksgiving-turkey-making-you-sleepy/
  4. http://genomebiology.com/2014/15/7/R89#sec2
  5. http://i.imgur.com/WNkmN.jpg