Abstract C024: Room temperature stabilization of fecal samples supports important microbiome insights to expand access
Notice bibliographique
Résumé
Abstract Analysis of microbial signatures associated with colorectal cancer has potential to improve access and adherence to cancer screening programs through non-invasive sampling, particularly in underserved communities. Lack of reproducibility between studies remains a challenge and has limited the ability to translate research findings into scalable clinical applications. The common practice of storing samples at -80°C/-112°F is inconvenient, often not feasible, and may introduce bias if samples are not handled carefully and consistently. Large-scale screening programs would benefit from room temperature stabilization and sample homogenization at the point of collection, without the logistical considerations for rapid and long-term freezing. To evaluate the potential of room temperature stability, fecal samples from adult and pediatric individuals were self-collected at home using the OMNIgene™•GUT Dx device with corresponding unstabilized samples stored at -80°C/-112°F. Metagenomics sequencing was utilized to generate microbiome profiles and identify taxa-associated biomarkers relevant to gastrointestinal health and aging. Stabilized samples were compared to freshly collected unstabilized samples (n=18) to evaluate any bias introduced by the stabilizing solution. The same stabilized samples were compared to unstabilized samples stored at -80°C/-112°F to evaluate stability over time. In addition, reproducibility was evaluated by performing DNA extractions in triplicate from ten stabilized fecal samples. Finally, the ability of the room temperature stabilization to capture expected differences between groups was evaluated by comparing adult and pediatric (n=30 per group) samples and looking for known signatures specific to each group. This research demonstrated equivalent stability over time between stabilized samples at room temperature and unstabilized samples stored at -80°C/-112°F, showing preservation of both highly abundant and rare members of the microbial community. Findings indicate that room temperature stabilization does not introduce bias relative to freshly collected unstabilized samples and produces sufficient sample homogenization to yield reproducible microbial profiles. The comparison between adult and pediatric stabilized fecal samples highlights an enrichment for pediatric-specific signatures, such as Bifidobacterium and Veillonella species, and further captures the lower diversity of pediatric samples relative to more developed adult microbiota. These results demonstrate that the OMNIgene™•GUT Dx device enables the preservation of microbial community structure with room temperature stabilization and sample homogenization for use in the detection of biomarkers in fecal samples. Simple logistics of room temperature storage, combined with an easy-to-use self-collection design and compatibility with standard postal shipping assist integration into clinical workflows and enable at-home collections from diverse populations, especially at-risk, minority populations without easy access to clinical services. Citation Format: Savannah Colameco, Jean M. Macklaim, Ashlee Brown, Tara Crawford Parks. Room temperature stabilization of fecal samples supports important microbiome insights to expand access [abstract]. In: Proceedings of the 16th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2023 Sep 29-Oct 2;Orlando, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2023;32(12 Suppl):Abstract nr C024.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,003 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,003 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».