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. 2020 Jun 26;11:623. doi: 10.3389/fpsyt.2020.00623

Table 1.

Characteristics of included studies.

Study Study characteristics Potential Confounders N of Subjects Results
First author, Year Cases Controls Potential Confounders Cases Controls
Aarts et al. (5) Microbiome Sample:
ADHD cases were diagnosed based on DSM-IV symptoms using the Schedule for Affective Disorder and Schizophrenia for School Age Children
Healthy participants & unaffected siblings of ADHAD patients & self-reported healthy volunteers Not mentioned N: 19
Age in years: 19.5(2.5)
Males: 13
BMI: 23.8(4.1)
N: 77 included:
  • - N: 17 healthy participants

  • - N: 21 unaffected siblings of the ADHD Patients

  • - N: 39 self- reported healthy volunteers


Ages in years: 27.1 (14.3)
Males: 41
BMI:23.0 (3.2)
Aarts et al. (5) FMRI Sample:
from the above ADHD cohort
follow up study: Children with ADHD no longer met the diagnostic criteria in adolescence or adulthood
Healthy & unaffected participants Not mentioned N: 24
Age in years: 20.3(3.7)
Males: 18
BMI:22.8(3.5)
N:63 included:
  • - N:39 unaffected siblings

  • - N: 24: healthy controls


Age in years: 21.3 (3.4)
Males: 39
BMI:22.7(2.9)
Decreased ventral striatal response for reward anticipation in Patients with ADHD vs. controls (t(85)=2.1, p=.038)
Aarts et al. (5) Microbiome and Imaging Analysis:
From the above ADHD cohort
Healthy & unaffected participants N:6
Age in Years:18.6(2.5)
Males:4
BMI:22.1(4.4)
N:22 included:
  • - N:13 unaffected siblings

  • - N:9 healthy controls


Age in Years: 21.1(3.3)
Males: 13
BMI:23.4 (3.7)
No significant decreased ventral striatal response for reward anticipation in Patients with ADHD vs. Controls (t(26)= 0.2)
Predicted CDT relative abundance significant associated with reward anticipation responses in ventral striatum (standardized beta: -0.42, p= 0.048)
Jiang et al. (6) Juvenile Patients diagnosed with the Kiddle-SADS-Present and Lifetime Version (Kiddle-SADS-PL) Scale: semi-structured diagnostic interview conducted according to the DSM-IV classification system
ADHD Symptom severity via parents CPRS
Healthy neurotypical Control Group recruited via advertisement and assessed with a semi-structured clinical interview to exclude individuals with a physical illness Excluded confounders:
Children with dietary habits
Use of probiotics or antibiotics during the 2 months prior sample collection
Apparent gastrointestinal symptoms, depressive or anxiety
symptoms, obesity, common childhood atopic diseases &/or history of current use of ADHD drugs
N: 51 treatment naïve ADHD patients
Age in Years: 8.47(0.47)
Males:38
BMI:16.4 (2.02)
N: 32
Age: 8.5(8.47)
Males: 22
BMI:16.09(2.02)
Significant decrease in the fractional representation of Faecalibacterium in children with ADHD vs. Controls
Abundance of Faecalibacterium negatively associated with parental reports of ADHD Symptoms
No significant difference in the alpha diversity between groups
Prehn-Kristensen et al. (7) All patients met the DSM-IV criteria for ADHD
Measures:
German translation of the Revised Schedule for Affective Disorder and Schizophrenia for School-Age Children: Present and Lifetime Version (K-SADS-PL)
CCBCL; German ADHD rating scale (FBB-HKS)
N:6 Patients fulfilled criteria for comorbid oppositional defiant disorder (ODD)
N:10 Medicine for more than one year to treat ADHD Symptoms (9x Medikinet, 1x Equasym)
N:9 medicine for at least 48h prior to sample
N:14
Age in years: 11.9 (2.5)
BMI:19.0(3.9)
Males: 14
N:17
Age in Years:13.1(1.7)
BMI:18.0(2.5)
Males: 17
Alpha diversity significant decreased in ADHD patient vs. controls (Pshannon=.036)
Beta diversity differed significantly between patients and controls (PANOSIM) 0.033, PADONIS =0.006, Pbetadisper =.002)
Cheng et al. (8) Diagnosed with DSM Criteria N: 19099 N:34194 Desulfovibrio is associated with ADHD
Wang et al. (9) Patients with ADHD treated in the outpatient Department of a Child Psychiatry
ADHD cases were diagnosed based on DSM-IV-TR trough structured interview based an K-SADS-E
Dietary patterns through food frequency questionnaire
Children without ADHD
Dietary patterns trough food
frequency questionnaire
Excluded Confounders:
Never taken any medications to treat ADHD; no psychiatric diseases or major physical illnesses
No vegetarians or Patients who were currently taken probiotics or antibiotics
N: 30
Age in Years: 8.4 (1.7)
Weight(kg): 30.7(10.2)
Males: 23
N:30
Age in Years: 9.3(2.2)
Weight(kg): 35.6(10.6)
Males: 18
Gut microbiota communities in ADHD patients showed a significantly higher Shannon Index p=.0378) and Chao Index (p=.0351)as the controls
Simpson Index was significant lower in ADHD patients
Stevens et al. (10) Micronutrient Treatment group
Cases diagnosed with ADHD via ADHD Rating Scale IV (ADHD-RS-IV)
Placebo treatment Group
Controls diagnosed with ADHD via ADHD Rating Scale IV (ADHD-RS-IV)
Not mentioned N:10
Age: 9.3(1.3)
BMI:16.6(3)
Males: 10
N:9
Age: 10.29(1.9)
BMI:19.39(2.9)
Males: 9
OTUs significantly increased in the treatment group and no mean change in the placebo group (p:0.05)
low abundance of
Bifidobacterium was associated with a low ADHD-IV-RS score, which is contradictory to the general
trend observed in the pre-RCT and placebo groups.
Casas et al. (11) ADHD assessed trough German parent- completed SDQ (10years) and self-completed version of SDQ (15 years) Medication not mentioned
Reporting bias
Controlled confounders: parental education, indoor factors, e.g. indoor smoking
N:37
Male: 22
Hyperactivity/inattention
  • - 10 Years old: 5

  • - 15 Years old: 37

N:189
Male: 95
Hyperactivity/inattention
  • - 10 Years old: 18

  • - 15 Years old: 13

Early life bacterial diversity was inversely associated with hyperactivity/
inattention at age 10 [bacterial OTUs (medium vs low: aOR = 0.4, 95%CI = (0.2–0.8)) and Chao1
(medium vs low: 0.3 (0.1–0.5); high vs low: 0.3 (0.2–0.6)],
fungal diversity was directly associated [Chao1 (high vs low: 2.1 (1.1–4.0)), Shannon (medium vs low: 2.8 (1.3–5.8)), and Simpson
(medium vs low: 4.7 (2.4–9.3))]
At age 15, only Shannon index was significantly associated with
hyperactivity/inattention [bacteria (medium vs low: 2.3 (1.2–4.2); fungi (high vs low: 0.5 (0.3–0.9))]

CRPS, Conners Parent Rating Scales; BMI(SD): SD, standard deviation; Age(SD): SD, standard deviation; CBCL, Child Behavior Checklist; FBB-HKS, Fremdbeurteilungsbogen für hyperkinetische Störung; DSM-IV-R, Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition, Text Revision; K-SAD-E, Schedule for affective disorder and schizophrenia for school- age children, epidemiologic version; SDQ, Strength and Difficulties Questionnaire.