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Purpose Obesity is a complex heterogeneous disease often associated with dysfunctional eating behavior patterns. Oxytocin (OT) is a neurohormone involved in the regulation of energy metabolism and eating behavior. The aim of the present study was to evaluate in a population of patients with obesity circulating levels of OT and dysfunctional eating behaviors in relation to anthropometric, hormonal and metabolic parameters. Methods A prospective, observational, single-center study was conducted at the Center of High Specialization for the Care of Obesity of Sapienza University of Rome. Adult subjects with body mass index (BMI) ≥ 30 kg/m2 were recruited. Body impedance assessment (BIA), biochemical and hormonal parameters, plasma OT concentration analysis and the Eating Behaviors Assessment for Obesity (EBA-O) questionnaire were evaluated. Results A total of 21 patients, 16 females and 5 males, with a mean age of 45.7 ± 15.1 years, mean BMI of 40.89 ± 8.02 kg/m 2 and plasma OT concentration of 1365.61 ± 438.03 pg/mL were recruited. The dysfunctional eating behavior traits investigated by the EBA-O appear significantly associated with metabolic derangements. In particular, night eating is associated with alterations in lipid metabolism ( p  < 0.01). Circulating OT correlates positively with BMI ( r  = 0,43; p  < 0.05), and Hepatic Steatosis Index (HIS) ( r  = 0.46; p  < 0.05), while its role in subjects with obesity and alterations in glucose metabolism is less clear. Interestingly, circulating OT levels < 1312.55 pg/mL may be predictive of food addiction (100% sensitivity; 62.5% specificity). Conclusions Despite the need for larger studies to confirm their validity, the clinical utility of the EBA-O and circulating OT in identifying dysfunctional eating behaviors appears promising.

Severe obesity is associated with an increased risk of admission to intensive care units and need for invasive mechanical ventilation in patients with COVID-19. The association of obesity and COVID-19 prognosis may be related to many different factors, such as chronic systemic inflammation, the predisposition to severe respiratory conditions and viral infections. The ketogenic diet is an approach that can be extremely effective in reducing body weight and visceral fat in the short term, preserving the lean mass and reducing systemic inflammation. Therefore, it is a precious preventive measure for severely obese people and may be considered as an adjuvant therapy for patients with respiratory compromise.

Background/Objectives: Patients with isolated adult-onset growth hormone (GH) deficiency may present with hepatic steatosis and metabolic dysfunction. The effect of replacement therapy on metabolic phenotype has not been exhaustively studied yet. Methods: Patients with isolated adult-onset GH deficiency (GHD) were enrolled and prescribed GH-replacement therapy. DEXA scans for assessing body composition, anthropometric and biochemical parameters were evaluated at baseline and after 12 months of therapy. A fatty liver index, hepatic steatosis index and Fibrosis 4-test were calculated at baseline and after 12 months of therapy. Results and Conclusions: In our cohort, GH replacement therapy in adults with isolated adult-onset GHD is associated with weight loss and reduction of BMI (p < 0.001), amelioration in body composition with reduction in fat mass and trunk fat (respectively, p = 0.023 and p = 0.02), amelioration in lipid profile (significant reduction of total and LDL cholesterol and increase in HDL cholesterol) and reduction in fatty liver index (p = 0.021). Further long-term, randomized studies with bigger cohorts and advanced diagnostics are needed to confirm these results of our exploratory study.

Colorectal cancer (CRC) remains a leading cause of cancer‐related mortality, with metastatic CRC (mCRC) posing significant challenges due to tumor heterogeneity and resistance to therapy. Circulating tumor cells (CTC) and circulating hybrid cells (CHC) detected via liquid biopsies have emerged as promising biomarkers for monitoring disease progression. This study aimed to evaluate the prognostic utility of automated CTC enumeration using the ACCEPT software compared to a manual method and assess the potential clinical relevance of CHC in mCRC. A retrospective analysis of CellSearch® images from 67 mCRC patients was conducted, correlating CTC and CHC counts with progression‐free survival and overall survival (OS). Automated enumeration demonstrated improved accuracy and reduced variability, confirming the prognostic significance of CTC counts for OS. However, CHC enumeration showed no significant association with clinical outcomes, suggesting sporadic detection rather than consistent prognostic value. These findings underscore the reliability of automated CTC enumeration in mCRC prognosis while highlighting the need for further research into the biological and clinical roles of CHC. This study highlights the potential of automated enumeration using the ACCEPT software to refine circulating tumor cell (CTC) detection in metastatic colorectal cancer (mCRC). The automated method demonstrates improved accuracy and reduced variability compared to the manual approach. Findings emphasize the need for improved reliability and standardization in CTC detection methods for mCRC management.

Chrononutrition is an emerging branch of chronobiology focusing on the profound interactions between biological rhythms and metabolism. This framework suggests that, just like all biological processes, even nutrition follows a circadian pattern. Recent findings elucidated the metabolic roles of circadian clocks in the regulation of both hormone release and the daily feeding–fasting cycle. Apart from serving as energy fuel, ketone bodies play pivotal roles as signaling mediators and drivers of gene transcription, promoting food anticipation and loss of appetite. Herein we provide a comprehensive review of the literature on the effects of the ketogenic diets on biological processes that follow circadian rhythms, among them appetite, sleep, and endocrine function.

The full spectrum of SARS-CoV-2-infected patients has not yet been defined. This study aimed to evaluate which parameters derived from CT, inflammatory, and hormonal markers could explain the clinical variability of COVID-19. We performed a retrospective study including SARS-CoV-2–infected patients hospitalized from March 2020 to May 2021 at the Umberto I Polyclinic of Rome. Patients were divided into four groups according to the degree of respiratory failure. Routine laboratory examinations, BMI, liver steatosis indices, liver CT attenuation, ferritin, and IGF-1 serum levels were assessed and correlated with severity. Analysis of variance between groups showed that patients with worse prognoses had higher BMI and ferritin levels, but lower liver density, albumin, GH, and IGF-1. ROC analysis confirmed the prognostic accuracy of IGF-1 in discriminating between patients who experienced death/severe respiratory failure and those who did not (AUC 0.688, CI: 0.587 to 0.789, p < 0.001). A multivariate analysis considering the degrees of severity of the disease as the dependent variable and ferritin, liver density, and the standard deviation score of IGF-1 as regressors showed that all three parameters were significant predictors. Ferritin, IGF-1, and liver steatosis account for the increased risk of poor prognosis in COVID-19 patients with obesity.

Background: A large amount of evidence from clinical studies has demonstrated that circulating tumor cells are strong predictors of outcomes in many cancers. However, the clinical significance of CTC enumeration in metastatic colorectal cancer is still questioned. The aim of this study was to evaluate the clinical value of CTC dynamics in mCRC patients receiving first-line treatments. Materials and methods: Serial CTC data from 218 patients were used to identify CTC trajectory patterns during the course of treatment. CTCs were evaluated at baseline, at a first-time point check and at the radiological progression of the disease. CTC dynamics were correlated with clinical endpoints. Results: Using a cut-off of ≥1 CTC/7.5 mL, four prognostic trajectories were outlined. The best prognosis was obtained for patients with no evidence of CTCs at any timepoints, with a significant difference compared to all other groups. Lower PFS and OS were recognized in group 4 (CTCs always positive) at 7 and 16 months, respectively. Conclusions: We confirmed the clinical value of CTC positivity, even with only one cell detected. CTC trajectories are better prognostic indicators than CTC enumeration at baseline. The reported prognostic groups might help to improve risk stratification, providing potential biomarkers to monitor first-line treatments.

Non-muscle-invasive bladder cancer (NMIBC) prognosis varies significantly due to the biological and clinical heterogeneity. High-risk stage T1-G3, comprising 15–20% of NMIBCs, involves the lamina propria and is associated with higher rates of recurrence, progression, and cancer-specific mortality. In the present study, we have evaluated the enumeration of tumour-derived extracellular vesicles (tdEVs) and circulating tumour cells (CTCs) in high-risk NMIBC patients and their correlation with survival outcomes such as time to progression (TTP), and cancer-specific survival (CSS). Eighty-three high-risk T1-G3 NMIBC patients treated between September 2010 and January 2013 were included. Blood samples were collected before a transurethral resection of the bladder (TURB) and analysed using the CellSearch® system. The presence of at least one CTC was associated with a shorter TTP and CSS. Extending follow-up to 120 months and incorporating automated tdEV evaluation using ACCEPT software demonstrated that tdEV count may additionally stratify patient risk. Combining tdEVs and CTCs improves risk stratification for NMIBC progression, suggesting that tdEVs could be valuable biomarkers for prognosis and disease monitoring. Further research is needed to confirm these findings and establish the clinical significance of tdEVs in early-stage cancers.

Controversial results on the predictive value of programmed death ligand 1 (PD-L1) status in lung tumor tissue for response to immune checkpoint inhibitors do not allow for any conclusive consideration. Liquid biopsy might allow real-time sampling of patients for PD-L1 through the course of the disease. Twenty-four stage IV NSCLC patients included in the Expanded Access Program with Nivolumab were enrolled. Circulating tumor cells (CTCs) were analyzed by CellSearch with anti-human B7-H1/PD-L1 PE-conjugated antibody. PD-L1 expressing CTCs were assessed at baseline, at 3 and 6 months after starting therapy, and correlated with outcome. At baseline and at 3 months of treatment, the presence of CTCs and the expression of PD-L1 on their surface were found associated to poor patients outcome. Nevertheless, the high frequency of PD-L1 expressing CTCs hampered to discriminate the role of PD-L1 in defining prognosis. Conversely although CTCs were found in all patients 6 months after treatment, at this time patients could be dichotomized into two groups based PD-L1 expression on CTCs. Patients with PD-L1 negative CTCs all obtained a clinical benefit, while patients with PD-L1 (+) CTCs all experienced progressive disease. This suggests that the persistence of PD-L1(+) CTCs might mirror a mechanism of therapy escape.