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Enregistrement W6958679285 · doi:10.6084/m9.figshare.7530797.v1

Protein-protein interaction in depression

2018· other· en· W6958679285 sur OpenAlexaboutno aff

Notice bibliographique

RevueFigshare · 2018
Typeother
Langueen
DomaineAgricultural and Biological Sciences
ThématiquePasture and Agricultural Systems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMental healthMajor depressive disorderDepression (economics)MoodAnxietyDistressSadnessDepressed mood

Résumé

récupéré en direct d'OpenAlex

Depression is a mental health disorder that affects an individual's mood, where they consistently and persistently feel sadness and lack of interest, thus referred to as a mood disorder. Officially called Major Depressive Disorder (MDD), it can embody the individual suffering from MDD to the point where it affects how you think, feel, and ultimately behave. MDD affects the daily lives of the individuals suffering from it, taking away their interests, and at times eliciting suicidal thoughts and behaviours. Symptoms of MDD include sadness, emptiness, and hopelessness, which also come with a loss of interest in activities that were once joyful, and sometimes a loss of interest in any and all activities. Sleep is also negatively affected, contributing to the individuals lack of energy and loss of appetite and weight loss. However, MDD can also be associated with food cravings and weight gain. Individuals suffering from MDD commonly develop anxiety disorders as well, and experience suicidal thoughts and behaviours, as well as other medical conditions that come with a compromised immune system. Depression is sometimes difficult to diagnose because many other medical conditions embody some depressive symptoms, and thus must be ruled out first. According to the Center for Addiction and Mental Health (CAMH), 14% of high-school students indicate high levels of psychological distress that points to depression, and 40% of Canadians can be depressed but have never sought medical help. Mood disorders, namely depression, continue to be the most common type of mental disorder experienced by Canadians. Mental health is a leading contributor to health crises in Canada and the rest of the world, however it continues to be neglected in modern healthcare settings. While it is increasingly acknowledged and researched in recent times, there is still much work to be done on the social and biological aspects of depression and other mental health disorders. Although there tends to be a debate between the biological and social contributors, healthcare officials agree that both are significant contributors. Thus, it is important to consider their interaction, and screen for potential biomarkers that may indicate an increased susceptibility to depression in order to decrease the prevalence of this debilitating mental disorder.Depression can be treated in many ways that ultimately depend on the individual’s particular symptoms and circumstances. Psychotherapy is a common way to treat depression, and there are many types of psychotherapy that work. For example, interpersonal psychotherapy focuses on communication and relationships, while cognitive behavioural therapy focuses on helping people find and understand their cognitive distortions that amplify depressive thoughts and feelings, as well as mindfulness. Other types of psychotherapy are social skills therapy, psychodynamic therapy, supportive counseling, behavioural activation, and problem-solving therapy. When depression affects others, family and couples therapy may be utilized as well. If a patient becomes a danger to themselves or others, hospitalization may be necessary. With regards to medication, tricyclic antidepressants (TCA), Monoamine oxidase inhibitors (MAOI), and Selective serotonin reuptake inhibitors (SSRI), are the more common medications used to treat depression.There are many organizations around the world that are very dedicated to helping individuals deal with mental health issues, including depression. The Mood Disorder Society of Canada (and the respective provinces), the Canadian Mental Health Association (CMHA), and the Centre for Addiction and Mental Health (CAMH) are the three most widely used and funded organizations that provide a wide range of assistance.<br>Works CitedChen, J., Huang, C., Song, Y., Shi, H., Wu, D., Yang, Y., ... &amp; Cheng, K. (2015). Comparative proteomic analysis of plasma from bipolar depression and depressive disorder: identification of proteins associated with immune regulatory. <i>Protein &amp; cell</i>, <i>6</i>(12), 908-911.Gao, L. J., Zhao, X., Li, J. G., Xu, Y., &amp; Zhang, Y. (2018). Bioinformatics analysis of genes related to pathogenesis of major depression disorder. <i>Sheng li xue bao:[Acta physiologica Sinica]</i>, <i>70</i>(4), 361-368.김은영. (2016). <i>Discovery of Peripheral Biomarkers for Major Depressive Disorder Using Proteomics and Heart Rate Variability Analysis</i> (Doctoral dissertation, 서울대학교 대학원).Martins-de-Souza, D. (2014). Proteomics, metabolomics, and protein interactomics in the characterization of the molecular features of major depressive disorder. <i>Dialogues in clinical neuroscience</i>, <i>16</i>(1), 63.<br> <br>

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesCharge utile insuffisante (le modèle a refusé de juger)
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,435
Score d'incertitude au seuil0,990

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,4460,011

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,032
Tête enseignante GPT0,239
Écart entre enseignants0,206 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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