Editorial: Hirschsprung disease: genetic susceptibility, disease mechanisms and innovative management in the multi-omics era
Notice bibliographique
Résumé
Hirschsprung disease (HSCR) remains a puzzling disease and a story of the continuous exploration of the etiology and a non-surgical cure (1). HSCR is a heterogeneous disease with an incidence of 1.5-2.8 per 10,000 births. It is characterized by varying lengths of lack of ganglion cells and hypertrophy of nerve fibers, a male preponderance (M:F-5:1), a variable familial incidence, and occasional syndromic involvement (2,3). In the neonatal period, about 80% of infants (~10% of whom are preterm) present with a delayed passage of meconium (beyond 24 hours), an increasingly distended abdomen, and intermittent vomiting. In individual cases, around 12% of these children may already have an impaired general condition caused by preexisting or developing enterocolitis. In about 10% of children with short-term HSCR, symptoms only appear later, usually during the switch from breastfeeding to pap food, mainly since the soft breast milk stool can be transported through the non-innervated sigmoid/rectal segment without any problems. These children are characterized by an intermittent refusal to eat and rapidly increasing constipation or encopresis. After clinical, radiological and manometric investigations, the current standardized method to diagnose HSCR is a rectal biopsy above the dentate line with the help of a suction device with the subsequent histologic examination (4) (Figure 1).HSCR is a disease affecting patients and families, and the current cure is exclusively surgical. The promise of the Omic-Era is encouraging because the goal is to identify niches where researchers and physicians can meet and improve the outcome of patients affected by this terrible disease (2). The era of high-throughput technologies has the impetus to accelerate its scale dramatically in the 21 st century. Genomics, epigenomics, transcriptomics, proteomics, metabolomics, glycomics, and lipidomics offer an outstanding opportunity for holistic investigation and contextual understanding of the pathogenesis of gastrointestinal disease for precise diagnosis and tailored treatment. This Research Topic has stimulated some researchers to contribute our knowledge of this disease and contribute to this collection.). ARM and HSCR are rarely reported together. The authors report an overall incidence of 2.4-3.4% of cases. The paper is exciting and very precise, with spectacular images. Everything is explained in detail, but importantly, in the case of anal atresia, the simultaneous occurrence of HSCR should be considered.The REarranged during Transfection (RET) is probably one of the most significant genes discovered by 24 genes associated with HSCR (Iskandar et al.). RET's somatic mosaicisms have been identified in HSCR but are poorly recognized. The authors in this special issue underpinned the frequency of rs2435357somatic mutation of RET in HSCR patients. Iskandar et al. suggest that somatic mosaicism in HSCR patients is not uncommon, supporting the complexity of the pathogenesis of this gastrointestinal disorder (Iskandar et al.). They confirm that the RET rs2435357 is a paramount genetic risk factor for HSCR patients. With the help of molecular genetics, it is even possible to detect specific changes in the patient's genetic information. The authors rightly speak of a mosaic status. In this context, RET rs2435357 is of particular importance in HSCR patients. It would be interesting to identify the burden of each mutation in causing HSCR in the future.Wang et al. used the robust linear model (RLM) statistical method. Robust regression uses an iterative approach to assign a weight to each data point. The RLM algorithm uses the leastsquares approach to identify the curve that outbursts the data bulk. The final event is to minimize the effects of outliers. These authors used RLM for screening plasma human autoimmune antigen microarrays. They quantitatively assessed enzyme-linked immunosorbent assay (ELISA) values with single-stranded DNA (ssDNA) antibody levels. They found that ssDNA antibodies in HSCR plasma were considerably higher than those in healthy and disease controls. Further, ssDNA antibodies differentiated HSCR from non-HSCR patients, accomplishing an area under the curve (AUC) of 0.917, harboring a sensitivity of 96.99% and a specificity of 74.63%. The considerations of this work are interesting, especially since they meant an extension of diagnostics. The occurrence of the ssDNA antibody can be promising, especially in premature babies.We are still searching the etiology of HSCR, and the findings of Ji et al. may help us understand one of the life-threatening conditions associated with HSCR. Neuroimmune instruction intercedes the incidence and progress of enteritis. Single-cell RNA sequencing has been critical to decrypt several intracellular processes and signaling mechanisms in the last few years. Both human and mouse gut nervous system (ENS) components demonstrate that healthy gut neuronal cells prompt mediators and cell surface molecules, which can interconnect with innate and adaptive immunologic pathways. The enhancement of the neuromodulatory effect may prevent this entity from occurring. Vasoactive intestinal peptide, substance P, and neuropeptide Y carry a cationic charge that can break the bacterial membranes and kill the microorganisms. The authors describe the characteristics of the interaction between intestinal nerve cells and immune cells. We do not understand in detail what influence the cells in the hypoganglionic section of the megacolon in promoting the inflammatory process, nor the impact of the ganglion cells of the euganglionic megacolon. Understanding the interaction between ganglion cells and immune cells in the case of postoperative enterocolitis seems even more difficult. Is this caused by a disturbance in the peristalsis behind it, although the colon should be functioning after the intervention? Does residual stenosis play a role? Is sphincter achalasia a possible cause? Thus, this topic warrants further exploration.A few centuries following the initial discovery of congenital megacolon in 1691 by Frederick Ruysch, a Dutch Anatomist, and its detailed description in 1886 by Harald Hirschsprung, a Danish pediatrician, HSCR is still very challenging. It will need a comprehensive platform of tools and minds to understand in detail the etiopathogenesis, broaden the diagnostic tools, and set up a non-surgical treatment. Scientists and physicians are called to apply their efforts in tackling this Sisyphean task.Microphotograph of a rectal suction biopsy showing no ganglion cells, but exclusively nerve fibers (Hematoxylin and Eosin staining, X100, scale bar: 50 micrometers).
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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 tête enseignante, pas un consensus.
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