Mental

SAMe (S-Adenosylmethionin)Studienlage & Dosis

Methylierung, Depression und Leberunterstützung.

Studien zuletzt aktualisiert 14. Mai 2026

Studienlage in Zahlen

Studien gesamt: 521
Mit Abstract: 8
Meta / Systematic / RCT: 28
Häufig zitiert: 0
Erscheinungsjahre: 1970–2026

SAMe (S-Adenosylmethionin) im Kontext von Mental

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Top-Studien zu SAMe (S-Adenosylmethionin)

Sortiert nach einflussreichen Zitationen und Erscheinungsjahr.

S-Adenosylmethionine (SAMe) in major depressive disorder (MDD): a clinician-oriented systematic review
Annals of General Psychiatry2020n=1.0114 einflussreiche Zitationen
Background Major depressive disorder (MDD) is a recurrent illness with high rates of chronicity, treatment-resistance, and significant economic impact. S -Adenosylmethionine (SAMe), a molecule that is formed naturally in the human body,…
Oral Administration of S-Adenosylmethionine (SAMe) and Lactobacillus Plantarum HEAL9 Improves the Mild-To-Moderate Symptoms of Depression: A Randomized, Double-Blind, Placebo-Controlled Study.
The Primary Care Companion For CNS Disorders2020n=464 einflussreiche Zitationen
<h4>Objective</h4>To assess the effects of the combination of SAMe (S-adenosylmethionine) 200 mg and Lactobacillus plantarum (L. plantarum) HEAL9 1 × 10⁹ CFU for the overall symptomatology of mild-to-moderate…
The protective effect of S-adenosylmethionine on chronic adolescent stress-induced depression-like behaviors by regulating gut microbiota.
European Journal of Pharmacology2024
The efficacy and tolerability of current antidepressants for adolescent depression are inadequate. S-adenosylmethionine (SAMe), known for its effectiveness and minimal side effects in adult depression, remains unstudied in adolescents.…
Symptom-specific links between depression and functional impairment in young adults
Journal of Affective Disorders2026n=3.118
Depression is a leading cause of functional impairment among young adults, yet little is known about which specific symptoms most disrupt daily life. This study disaggregates depression at the symptom level to identify the most impairing…
Aberrant hippocampal-cortical connectivity and network coupling in facial emotion recognition-based subtypes of depression
Journal of Affective Disorders2026n=202
<h4>Background</h4>Facial emotion recognition (FER), an essential component of emotion processing that influences social functioning and interpersonal relationship satisfaction, plays a key role in major depressive disorder (MDD). This…
Predictability of Same-Day Discharge Candidacy After Bariatric Surgery with Machine Learning
Obesity Surgery2026
<h4>Introduction</h4>Despite growing interest, same-day discharge (SDD) after bariatric surgery remains uncommon due to challenges with patient selection. In this study, we seek to evaluate whether Metabolic and Bariatric Surgery…
Explainable machine-learning prediction of overall and cancer-specific survival in adult triple-negative breast cancer using SEER: a comparative study of nomograms and random survival forests.
Translational cancer research2026n=27.256
<h4>Background</h4>Triple-negative breast cancer (TNBC) is clinically aggressive and prognostically heterogeneous. Population-based tools that provide transparent, individualized survival estimates and clinically actionable risk…
Machine learning-based identification of concomitant stroke and prognostic analysis in patients with Guillain-Barré syndrome: a retrospective study.
Frontiers in immunology2026n=260
Background Guillain-Barré syndrome (GBS) constitutes an immune-mediated inflammatory polyradiculoneuropathy. Stroke may coexist with GBS during the same clinical episode, but the associated clinical predictors remain insufficiently…