{"title":"The gut-microbiota-brain axis: Focus on gut steroids.","authors":"Silvia Diviccaro, Silvia Giatti, Lucia Cioffi, Gabriela Chrostek, Roberto Cosimo Melcangi","doi":"10.1111/jne.13471","DOIUrl":"https://doi.org/10.1111/jne.13471","url":null,"abstract":"<p><p>There are over 1000 varieties of steroids that have been reported in nature, including the endogenous sex steroid hormones (i.e., progesterone, testosterone, and 17β-estradiol) and corticosteroids which are mainly synthesized by gonads and adrenals, respectively. In addition, an extra-glandular steroidogenesis has been also reported in the brain and in the gastrointestinal tract (GIT). The reason why intestinal steroidogenesis and consequently gut steroids draw our attention is for the communication and interaction with the gut microbiota, which functions like a virtual endocrine organ, and it is also involved in the steroid production. Moreover, both GIT and gut microbiota communicate through neural, endocrine, and humoral ways with the brain, in the so-called gut-microbiota-brain axis. On this basis, in this review, we will discuss several aspects such as (1) intestinal steroidogenesis and its possible regulation, (2) the potential role of gut steroids in physiopathological conditions, and (3) the role of microbiome in steroidogenesis and steroid metabolism. Overall, this review highlights new points of view considering steroid molecules as potential therapeutic approach for gastrointestinal disorders and brain comorbidities.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13471"},"PeriodicalIF":3.3,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142686996","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Martina Di Franco, Emilia Fortunati, Lucia Zanoni, Stefano Fanti, Valentina Ambrosini
{"title":"The role of combined FDG and SST PET/CT in neuroendocrine tumors.","authors":"Martina Di Franco, Emilia Fortunati, Lucia Zanoni, Stefano Fanti, Valentina Ambrosini","doi":"10.1111/jne.13474","DOIUrl":"https://doi.org/10.1111/jne.13474","url":null,"abstract":"<p><p>Somatostatin receptor (SST) positron emission tomography with computed tomography (PET/CT) is the gold standard for functional imaging of neuroendocrine tumors (NETs), but FDG PET/CT is increasingly recognized for its prognostic value, particularly for higher-grade NETs and to detect disease heterogeneity. Despite the established role of pathological grading, clinical heterogeneity within the tumor burden often complicates accurate prognostication. Evidence suggests FDG PET/CT can outperform WHO grading in predicting outcomes by identifying aggressive, undifferentiated tumor clones that influence long-term prognosis and treatment decisions. Several grading systems integrating both SST and FDG PET/CT have been proposed to better capture tumor heterogeneity and guide clinical management. Studies demonstrate that FDG PET/CT can influence management in a significant subset of patients, although variably reported. Its use remains variable across centers, also affected by different reimbursement policies and local clinical practices. This review explores the indications to FDG PET/CT in NET and the clinical impact of combined SST and FDG PET/CT imaging.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13474"},"PeriodicalIF":3.3,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142687000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The International Symposium on Avian Endocrinology, 1977-2024: Past, present and future.","authors":"John C Wingfield","doi":"10.1111/jne.13470","DOIUrl":"https://doi.org/10.1111/jne.13470","url":null,"abstract":"<p><p>The First International Symposium on Avian Endocrinology (ISAE) was held 47 years ago at the Grand Hotel in Kolkata (Calcutta), India. Professor Asok Ghosh organized and convened the symposium, and Professor Donald S. Farner was President. The 1977 ISAE was convened at a time when neuroendocrine cascades were emerging as major pathways by which environmental events are perceived and transduced resulting in endocrine secretions that then orchestrate life history stages. Methods to measure hormone concentrations in blood and other tissues were relatively recent allowing the advance of laboratory and field investigations to explore ecological bases of endocrine control systems. The rise of evolutionary endocrinology and theory in ecological contexts followed-topics that are flourishing today. Studies on poultry continue to play central roles at ISAE meetings. In recent decades, the incorporation of genomics, transcriptomics, proteomics, epigenetics and other technologies provide us with an unprecedented array of tools to explore endocrinological processes at mechanistic levels we could never have dreamed of in 1977. The future looks to be an era of major advances in neuroendocrinology. What technologies will arise and transform our knowledge further? Artificial intelligence (AI) is emerging as a tool in avian endocrinology in at least research on endocrine disrupting chemicals. Will AI facilitate new advances and research directions across the field? The future of basic research has never been brighter than it is now. As in the past, ISAEs in the next decades will integrate new discoveries across environmental and applied biology. New challenges will doubtless appear.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13470"},"PeriodicalIF":3.3,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142681985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Michela Polici, Damiano Caruso, Benedetta Masci, Matteo Marasco, Daniela Valanzuolo, Elisabetta Dell'Unto, Marta Zerunian, Davide Campana, Domenico De Santis, Giuseppe Lamberti, Elsa Iannicelli, Daniela Prosperi, Bruno Annibale, Andrea Laghi, Francesco Panzuto, Maria Rinzivillo
{"title":"Radiomics in advanced gastroenteropancreatic neuroendocrine neoplasms: Identifying responders to somatostatin analogs.","authors":"Michela Polici, Damiano Caruso, Benedetta Masci, Matteo Marasco, Daniela Valanzuolo, Elisabetta Dell'Unto, Marta Zerunian, Davide Campana, Domenico De Santis, Giuseppe Lamberti, Elsa Iannicelli, Daniela Prosperi, Bruno Annibale, Andrea Laghi, Francesco Panzuto, Maria Rinzivillo","doi":"10.1111/jne.13472","DOIUrl":"https://doi.org/10.1111/jne.13472","url":null,"abstract":"<p><p>To evaluate a radiomic strategy for predicting progression in advanced gastroenteropancreatic neuroendocrine tumor (GEP-NET) patients treated with somatostatin analogs (SSAs). Fifty-eight patients with GEP-NETs and liver metastases, with baseline computerized tomography (CT) scans from June 2013 to November 2020, were studied retrospectively. Data collected included progression-free survival (PFS), overall survival (OS), tumor grading, death, and Ki67 index. Patients were categorized into progressive and non-progressive groups. Two radiologists performed 3D liver segmentation on baseline CT scans using 3DSlicer v4.10.2. One hundred six radiomic features were extracted and analyzed (T-test or Mann-Whitney). Radiomic feature efficacy was evaluated via receiver operating characteristic curves, and both univariate and multivariate logistic regression were used to develop predictive models. A significance level of p < .05 was maintained. Of 55 patients, 38 were progressive (median PFS and OS: 14 and 34 months, respectively), and 17 were non-progressive (median PFS and OS: 58 months each). Six radiomic features significantly differed between groups (p < .05), with an area under the curve (AUC) range of 0.64-0.74. Ki67 was the only clinical parameter significantly associated with progression risk (odds ratio (OR) = 1.14, p < .05). The combined radiomic features and Ki67 model proved most effective, showing an AUC of 0.814 (p = .008). The radiomic model alone did not reach statistical significance (p = .07). A combined model incorporating radiomic features and the Ki67 index effectively predicts disease progression in GEP-NET patients eligible for SSA treatment.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13472"},"PeriodicalIF":3.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676036","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jelka Kuiper, Eline Zoetelief, Tessa Brabander, Wouter W de Herder, Johannes Hofland
{"title":"Current status of peptide receptor radionuclide therapy in grade 1 and 2 gastroenteropancreatic neuroendocrine tumours.","authors":"Jelka Kuiper, Eline Zoetelief, Tessa Brabander, Wouter W de Herder, Johannes Hofland","doi":"10.1111/jne.13469","DOIUrl":"https://doi.org/10.1111/jne.13469","url":null,"abstract":"<p><p>Peptide receptor radionuclide therapy (PRRT) using [<sup>177</sup>Lu-DOTA<sup>0</sup>,Tyr<sup>3</sup>]octreotate (<sup>177</sup>Lu-DOTATATE) represents an established treatment modality for somatostatin receptor-positive, locally advanced or metastatic gastroenteropancreatic neuroendocrine tumours (GEP NET) of grade 1 or 2. The studies have demonstrated that four cycles of PRRT with <sup>177</sup>Lu-DOTATATE prolongs progression-free survival and preserves quality of life, in patients with grade 1 and 2 advanced GEP NET. Notably, first-line PRRT using <sup>177</sup>Lu-DOTATATE in grade 2 and 3 GEP NET patients has also shown efficacy and safety. Furthermore, PRRT can ameliorate symptoms in patients with NET-associated functioning syndromes. Although various studies have explored alternative radionuclides for PRRT, none currently meet the criteria for routine clinical implementation. Ongoing research aims to further enhance PRRT, and the results from large clinical trials comparing PRRT with other NET treatments are anticipated, potentially leading to significant modifications in NET treatment strategies and PRRT protocols. The results of these studies are likely to help address existing knowledge gaps in the coming years. This review describes the clinical practice, recent developments and future treatment options of PRRT in patients with grade 1 and 2 GEP NET.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13469"},"PeriodicalIF":3.3,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142676034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"JNE's Early Career Editorial Board: Pulling back the curtain on science publishing","authors":"Mike Lehman, Kate Ellacott","doi":"10.1111/jne.13460","DOIUrl":"10.1111/jne.13460","url":null,"abstract":"","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":"36 11","pages":""},"PeriodicalIF":3.3,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahesh K Padwal, Rahul V Parghane, Avik Chakraborty, Aman Kumar Ujaoney, Narasimha Anaganti, Sandip Basu, Bhakti Basu
{"title":"Developing a peripheral blood RNA-seq based NETseq ensemble classifier: A potential novel tool for non-invasive detection and treatment response assessment in neuroendocrine tumor patients receiving <sup>177</sup>Lu-DOTATATE PRRT.","authors":"Mahesh K Padwal, Rahul V Parghane, Avik Chakraborty, Aman Kumar Ujaoney, Narasimha Anaganti, Sandip Basu, Bhakti Basu","doi":"10.1111/jne.13462","DOIUrl":"https://doi.org/10.1111/jne.13462","url":null,"abstract":"<p><p>Neuroendocrine tumors (NETs) are presented with metastases due to delayed diagnosis. We aimed to identify NET-related biomarkers from peripheral blood. The development and validation of a multi-gene NETseq ensemble classifier using peripheral blood RNA-Seq is reported. RNA-Seq was performed on peripheral blood samples from 178 NET patients and 73 healthy donors. Distinguishing gene features were identified from a learning cohort (59 PRRT-naïve GEP-NET patients and 38 healthy donors). Ensemble classifier combining the output of five machine learning algorithms viz. Random Forest (RF), Extreme Gradient Boosting (XGBOOST), Gradient Boosting Machine (GBM), Support Vector Machine (SVM), and Logistic Regression (LR) were trained and independently validated in the evaluation cohort (n = 106). The response to PRRT was evaluated in the PRRT cohort (n = 46) and the PRRT response monitoring cohort (n = 16). The response to <sup>177</sup>Lu-DOTATATE PRRT was assessed using RECIST 1.1 criteria. The Ensemble classifier trained on 61 gene features, distinguished NET from healthy samples with 100% accuracy in the learning cohort. In an evaluation cohort, the classifier achieved 93% sensitivity (95% CI: 87.8%-98.03%) and 91.4% specificity (95% CI: 82.1%-100%) for PRRT-naïve GEP-NETs (AUROC = 95.4%). The classifier returned >87.5% sensitivity across different tumor characteristics and outperformed serum Chromogranin A sensitivity (χ<sup>2</sup> = 21.89, p = 4.161e-6). In the PRRT cohort, RECIST 1.1 responders showed significantly lower NETseq prediction scores after <sup>177</sup>Lu-DOTATATE PRRT, in comparison to the non-responders. In an independent response monitoring cohort, paired samples (before PRRT and after 2nd or 3rd cycle of PRRT) were analyzed. The NETseq prediction score significantly decreased in partial responders (p = .002) and marginally reduced in stable disease (p = .068). The NETseq ensemble classifier identified PRRT-naïve GEP-NETs with high accuracy (≥92%) and demonstrated a potential role in early treatment response monitoring in the PRRT setting. This blood-based, non-invasive, multi-analyte molecular method could be developed as a valuable adjunct to conventional methods in the detection and treatment response assessment in NET patients.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13462"},"PeriodicalIF":3.3,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622384","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Toxicity manifestations encountered in peptide receptor radionuclide therapy setting.","authors":"Rahul V Parghane, Sandip Basu","doi":"10.1111/jne.13464","DOIUrl":"https://doi.org/10.1111/jne.13464","url":null,"abstract":"<p><p>Peptide receptor radionuclide therapy (PRRT) has demonstrated immense promise as a treatment for patients with neuroendocrine tumors (NET) who have somatostatin receptor (SSTR) expression. PRRT significantly reduces tumor growth, stabilizes the disease, and prolongs survival in a significant percentage of patients with metastatic/advanced NET. It produces an important beneficial effect on the quality of life (QOL) and effectively alleviates symptoms in patients with NET. Overall, PRRT is typically well-tolerated and most of the side effects are usually transient and subside on their own. It is, however, crucial to be cognizant of the potential toxicities associated with this treatment. This awareness will enable physicians to promptly detect, effectively manage, and prevent these toxicities by identifying high-risk factors in NET patients. This review provides an in-depth overview for clinicians managing NET about the toxicity of PRRT. The toxicities are stratified into acute, subacute, and long-term based on their onset following PRRT. Potential high-risk factors in order to treat effectively and prevent these toxicities in NET patients are presented including the management strategy. This review also discusses novel insights, perspectives, and recent advancements in predicting, preventing, and managing toxicity associated with PRRT, while offering prospective future research directions to minimize clinical toxicity and maximize the therapeutic benefits of PRRT as a treatment strategy for NET patients.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13464"},"PeriodicalIF":3.3,"publicationDate":"2024-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bardia Hajikarimloo, Sama Jabbaripour, Amir Mohammad Tohidinia, Aysan Valinejad Qanati, Farzan Fahim, Pegah Javadpour, Rasoul Ghasemi
{"title":"Insulin potential in preventing brain damage after traumatic brain injury: What we know.","authors":"Bardia Hajikarimloo, Sama Jabbaripour, Amir Mohammad Tohidinia, Aysan Valinejad Qanati, Farzan Fahim, Pegah Javadpour, Rasoul Ghasemi","doi":"10.1111/jne.13458","DOIUrl":"https://doi.org/10.1111/jne.13458","url":null,"abstract":"<p><p>Traumatic brain injury (TBI) is a major global cause of disability and mortality. TBI results in a spectrum of primary and secondary injuries that impact neural function and overall survival. Insulin, beyond its well-known role in regulating blood glucose levels, plays critical roles in the central nervous system (CNS). These roles include the modulation of synaptic plasticity, neurotransmitter levels, neurogenesis, and neuroprotection. Central insulin resistance, a reduced sensitivity to insulin in the brain, has been observed in TBI patients. This insulin resistance impairs insulin function in the brain and increases the risk of neurodegenerative processes. This review will delve into the central role of insulin resistance in the pathological changes observed after TBI and explore the potential benefits of insulin therapy as a treatment approach for TBI.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13458"},"PeriodicalIF":3.3,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Somatostatin receptor-linked α-particle therapy in neuroendocrine tumours.","authors":"Shaunak Navalkissoor, Ashley Grossman","doi":"10.1111/jne.13463","DOIUrl":"https://doi.org/10.1111/jne.13463","url":null,"abstract":"<p><p>The incidence and prevalence of neuroendocrine tumours (NETs) are on the rise, but to date, only complete surgical resection is curative. Among the various therapeutic options for metastatic disease, peptide receptor radionuclide therapy (PRRT), linking a radioactive moiety to an octreotide derivative, has been shown to be highly efficacious and a well-tolerated therapy, improving progression-free survival and prolonging overall survival. Nevertheless, complete responses are rare, and the current β-particle emitters have non-optimal radiobiological properties. A new generation of α-particle-emitting radionuclides is being developed, with the advantages of very high energy and a short path length. We survey the most recent developments in this field, summarising the result of currently performed studies in this potentially ground-breaking novel form of therapy for NETs.</p>","PeriodicalId":16535,"journal":{"name":"Journal of Neuroendocrinology","volume":" ","pages":"e13463"},"PeriodicalIF":3.3,"publicationDate":"2024-11-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}