Twinlab

Brewers Yeast

Collagen & BeautyServing: 16 Gram(s)Type: Other Combinations
N+ Score
F
53
Adequacy
35%
13
Completeness
25%
33
Transparency
20%
100
Diversity
20%
100

About This Product

Twinlab Brewers Yeast is a multi-ingredient supplement categorized under Collagen & Beauty, offering a broad spectrum of B vitamins and minerals derived from yeast. Each 16-gram serving provides 19 ingredients, including 12 mcg of Biotin, 80 mcg of Manganese, and 30 mcg of Chromium, all of which are present at clinically studied dosages. However, key B vitamins like Thiamin (0.45 mg), Riboflavin (0.26 mg), and Niacin (2.0 mg) are noted as underdosed compared to common recommendations. The product received an N+ Score of 53, resulting in an 'F' grade, indicating a below-average rating by Nutrienting.com, primarily due to low ingredient adequacy despite 100% label transparency. This supplement may appeal to individuals looking for a natural source of B vitamins and minerals, understanding that some key nutrients are not at optimal levels.

Strengths

  • +Fully transparent label with individual ingredient amounts disclosed
  • +Broad ingredient diversity exceeding category norms
  • +3 ingredient(s) at clinical dose levels
  • +Rich formula with 19 active ingredients

Weaknesses

  • Several ingredients below clinically effective doses
  • Missing several expected ingredients for its category

Ingredient Analysis (19 ingredients)

IngredientAmountStatus
Calories60.000 Calorie(s)N/A
Riboflavin0.260 mgUnder
Niacin2.000 mg NEUnder
Vitamin B60.120 mcgUnder
Biotin12.000 mcgAdequate
Pantothenic Acid0.400 mgUnder
Iron0.720 mgUnder
Magnesium16.000 mgUnder
Zinc2.250 mgUnder
Copper0.080 mgUnder
Manganese80.000 mcgN/A
Chromium30.000 mcgAdequate
Folic Acid80.000 mcgUnder
Sodium60.000 mgN/A
Potassium120.000 mgUnder
Protein7.000 Gram(s)N/A
Total Carbohydrate6.000 Gram(s)N/A
Phosphorus100.000 mgUnder
Thiamin0.450 mgUnder

Clinical ranges based on NIH ODS Fact Sheets and peer-reviewed research. Status indicates whether the amount meets evidence-based thresholds.