52 research outputs found
Inertial bioluminescence rhythms at the Capo Passero (KM3NeT-Italia) site, Central Mediterranean Sea
In the deep sea, the sense of time is dependent on geophysical fluctuations, such as internal tides and atmospheric-related inertial currents, rather than day-night rhythms. Deep-sea neutrino telescopes instrumented with light detecting Photo-Multiplier Tubes (PMT) can be used to describe the synchronization of bioluminescent activity of abyssopelagic organisms with hydrodynamic cycles. PMT readings at 8 different depths (from 3069 to 3349 m) of the NEMO Phase 2 prototype, deployed offshore Capo Passero (Sicily) at the KM3NeT-Italia site, were used to characterize rhythmic bioluminescence patterns in June 2013, in response to water mass movements. We found a significant (p < 0.05) 20.5 h periodicity in the bioluminescence signal, corresponding to inertial fluctuations. Waveform and Fourier analyses of PMT data and tower orientation were carried out to identify phases (i.e. the timing of peaks) by subdividing time series on the length of detected inertial periodicity. A phase overlap between rhythms and cycles suggests a mechanical stimulation of bioluminescence, as organisms carried by currents collide with the telescope infrastructure, resulting in the emission of light. A bathymetric shift in PMT phases indicated that organisms travelled in discontinuous deep-sea undular vortices consisting of chains of inertially pulsating mesoscale cyclones/anticyclones, which to date remain poorly known
Genetic screening of tuberous sclerosis complex in Sicily with a focus on neurological manifestations
Tuberous Sclerosis Complex (TSC) is an autosomal dominant disorder characterized by widespread hamartomas and prominent neurological involvement. It results from pathogenic variants in the TSC1 or TSC2 genes, leading to hyperactivation of the mTOR pathway and consequent dysregulation of cell growth. These tumor suppressor genes encode hamartin and tuberin, proteins critical for regulating cell proliferation, neuronal excitability and synaptogenesis. In this retrospective study, we analyzed clinical, genetic and radiological features of 81 TSC patients from Sicily, focusing on genotype-phenotype correlations and intergroup comparisons. Pathogenic TSC2 variants were more common than pathogenic TSC1 variants (61.7% vs. 38.3%). Patients with pathogenic TSC2 variants tended to exhibit a higher frequency of weekly seizures, a higher prevalence of infantile spasms and hypsarrhythmia compared to those with pathogenic TSC1 variants, consistent with a more severe phenotype. Interestingly, TSC1 patients exhibited a higher incidence of radial bands, while TSC2 patients harbored a larger average size of tubers and subependymal nodules. Cognitive and behavioral disorders were similarly distributed, although TSC1 patients had higher rates of normal or borderline cognitive function, while TSC2 patients had more severe neuropsychiatric profiles compared to TSC1. To our knowledge, this is the first comprehensive TSC1 and TSC2 mutational analysis and genotype-phenotype correlation study carried out in a large cohort of Sicilian patients affected by TSC. Our findings contribute to regional and global data on TSC, emphasizing the utility of genotype-informed management strategies
Socio-demographic and clinical predictors of post-acute, mid-and long-term psychological sequelae of COVID-19: a two-year cross-sectional investigation on 1317 patients at the University Hospital of Verona
Background: The present paper focuses on socio-demographics, clinical variables, and the distance from the infection in predicting the long-term psycho-social consequences of COVID-19. Methods: Patients were screened with a cross-sectional design at the Psychological Service of the University Hospital of Verona (Italy) at 3, 6, 12, and 18 months after their SARS-CoV-2 infection. The assessment was part of the Horizon 2020-funded ORCHESTRA Project and included the Hospital Anxiety and Depression Scale (HADS), the Short Form Health Survey 36 (SF-36), the Impact of Event Scale-Revised (IES-R), and ad-hoc questions measuring pre-post COVID-19 changes on psycho-social dimensions (sleep quality, nutrition, level of autonomy, work, social relationships, emotional wellbeing). Results: Between June 2021 and June 2023, we evaluated 1317 patients (mean age 56.6 ± 14.8 years; 48% male): 35% at three months, 40% at 6, 20% at 12, and 5% at 18 months after the infection. Thirty-five percent were hospitalized due to COVID-19. Overall, 16% reported some form of clinically significant mental distress following the infection (HADS-TOT), with 13% and 6%, respectively, experiencing anxiety (HADS-Anxiety) and depressive symptoms (HADS-Depression). Four percent testified post-traumatic symptoms. The SF-36 scale revealed that 16% and 17% of subjects had physical or psychological deterioration in quality of life, respectively. The regression analyses showed that females experienced higher levels of anxiety and depression compared to males, along with worse mental and physical quality of life and pre-post infection changes in nearly all the investigated psycho-social dimensions. Younger people felt more anxiety and had a reduced mental quality of life than their older counterparts, who, in turn, had poorer scores in terms of autonomy and physical functioning. Hospitalized patients had lower levels of self-sufficiency, social relationships, and work than non-hospitalized people. The latter were more anxious and reported a lower physical quality of life. Finally, patients evaluated for the first time at 12- and 18 months showed a more significant impairment in mental and physical quality of life than those assessed at three months. Conclusions: Our data show that COVID-19 psychological sequelae tend to persist over time, still needing clinical attention and intervention planning, especially for females
Clinical phenotypes and quality of life to define post-COVID-19 syndrome: a cluster analysis of the multinational, prospective ORCHESTRA cohort
Background Lack of specific definitions of clinical characteristics, disease severity, and risk and preventive factors of post-COVID-19 syndrome (PCS) severely impacts research and discovery of new preventive and therapeutics drugs.Methods This prospective multicenter cohort study was conducted from February 2020 to lune 2022 in 5 countries, enrolling SARS-CoV-2 out-and in-patients followed at 3-, 6-, and 12-month from diagnosis, with assessment of clinical and biochemical features, antibody (Ab) response, Variant of Concern (VoC), and physical and mental quality of life (QoL).Outcome of interest was identification of risk and protective factors of PCS by clinical phenotype, setting, severity of disease, treatment, and vaccination status. We used SF-36 questionnaire to assess evolution in QoL index during follow-up and unsupervised machine learning algorithms (principal component analysis, PCA) to explore symptom clusters. Severity of PCS was defined by clinical phenotype and QoL. We also used generalized linear models to analyse the impact of PCS on QoL and associated risk and preventive factors. CT registration number: NCT05097677.Findings Among 1796 patients enrolled, 1030 (57%) suffered from at least one symptom at 12-month. PCA identified 4 clinical phenotypes: chronic fatigue-like syndrome (CFs: fatigue, headache and memory loss, 757 patients, 42%), respiratory syndrome (REs: cough and dyspnoea, 502, 23%); chronic pain syndrome (CPs: arthralgia and myalgia, 399, 22%); and neurosensorial syndrome (NSs: alteration in taste and smell, 197, 11%). Determinants of clinical phenotypes were different (all comparisons p < 0.05): being female increased risk of CPs, NSs, and CFs; chronic pulmonary diseases of REs; neurological symptoms at SARS-CoV-2 diagnosis of REs, NSs, and CFs; oxygen therapy of CFs and REs; and gastrointestinal symptoms at SARS-CoV-2 diagnosis of CFs. Early treatment of SARS-CoV-2 infection with monoclonal Ab (all clinical phenotypes), corticosteroids therapy for mild/severe cases (NSs), and SARS-CoV-2 vaccination (CPs) were less likely to be associated to PCS (all comparisons p < 0.05). Highest reduction in QoL was detected in REs and CPs (43.57 and 43.86 vs 57.32 in PCS-negative controls, p < 0.001). Female sex (p < 0.001), gastrointestinal symptoms (p = 0.034) and renal complications (p = 0.002) during the acute infection were likely to increase risk of severe PCS (QoL <50). Vaccination and early treatment with monoclonal Ab reduced the risk of severe PCS (p = 0.01 and p = 0.03, respectively).Interpretation Our study provides new evidence suggesting that PCS can be classified by clinical phenotypes with different impact on QoL, underlying possible different pathogenic mechanisms. We identified factors associated to each clinical phenotype and to severe PCS. These results might help in designing pathogenesis studies and in selecting high-risk patients for inclusion in therapeutic and management clinical trials
Infected pancreatic necrosis: outcomes and clinical predictors of mortality. A post hoc analysis of the MANCTRA-1 international study
: The identification of high-risk patients in the early stages of infected pancreatic necrosis (IPN) is critical, because it could help the clinicians to adopt more effective management strategies. We conducted a post hoc analysis of the MANCTRA-1 international study to assess the association between clinical risk factors and mortality among adult patients with IPN. Univariable and multivariable logistic regression models were used to identify prognostic factors of mortality. We identified 247 consecutive patients with IPN hospitalised between January 2019 and December 2020. History of uncontrolled arterial hypertension (p = 0.032; 95% CI 1.135-15.882; aOR 4.245), qSOFA (p = 0.005; 95% CI 1.359-5.879; aOR 2.828), renal failure (p = 0.022; 95% CI 1.138-5.442; aOR 2.489), and haemodynamic failure (p = 0.018; 95% CI 1.184-5.978; aOR 2.661), were identified as independent predictors of mortality in IPN patients. Cholangitis (p = 0.003; 95% CI 1.598-9.930; aOR 3.983), abdominal compartment syndrome (p = 0.032; 95% CI 1.090-6.967; aOR 2.735), and gastrointestinal/intra-abdominal bleeding (p = 0.009; 95% CI 1.286-5.712; aOR 2.710) were independently associated with the risk of mortality. Upfront open surgical necrosectomy was strongly associated with the risk of mortality (p < 0.001; 95% CI 1.912-7.442; aOR 3.772), whereas endoscopic drainage of pancreatic necrosis (p = 0.018; 95% CI 0.138-0.834; aOR 0.339) and enteral nutrition (p = 0.003; 95% CI 0.143-0.716; aOR 0.320) were found as protective factors. Organ failure, acute cholangitis, and upfront open surgical necrosectomy were the most significant predictors of mortality. Our study confirmed that, even in a subgroup of particularly ill patients such as those with IPN, upfront open surgery should be avoided as much as possible. Study protocol registered in ClinicalTrials.Gov (I.D. Number NCT04747990)
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