Systemic Connective Tissue Disease and Neuromyelitis Optica Spectrum Disorder Coexistence: A Systematic Review and Meta-Analysis.

BACKGROUND: Several results support the hypothesis that a group of pathologies falling within the Neuromyelitis Optica Spectrum Disorders (NMOSD) diagnostic criteria may coexist with Connective Tissue Diseases (CTD) in patients with a high susceptibility to autoimmune conditions. However, the relationship between NMOSD and rheumatologic diseases deserves further investigations to clarify all clinical aspects of this coexistence. We designed a systematic review and a proportional meta-analysis to estimate the association between CTD and MNOSD, with the aim of helping to plan the best strategy to achieve the most significant public health benefit for these conditions. METHODS: We conducted a systematic review of the literature published until February 2023, searching in four databases: PubMed, Web of Science, EmBase, and OVID. Then, we conducted a random-effects proportional meta-analysis and assessed the risk of bias of the included studies using the Joanna Briggs Institute checklist. RESULTS: The literature search yielded an overall result of 3176 publications (272 from PubMed, 880 from Web of Science, 634 from EmBase and 1390 from OVID). Of these, 29 were included in this systematic review. Analyzing studies that recruited unselected patients with Systemic Lupus Erythematosus (SLE) and Sjogren Syndrome (SjS), the pooled percentages of NMOSD overlapping were 0.6% (95% Confidence Interval [95% CI]: 0.1%-1.4%,) and 6.5% (95% CI: 4.7-8.6), respectively. Studies enrolling rheumatologic patients with nervous system symptoms involvement reported higher percentage of NMOSD (i.e., among SjS patients, a pooled percentage of 26.5%, 95% CI: 5.5-54.6%, was found). Similarly, recruiting patients with NMOSD, we found pooled percentages of SjS or SLE respectively of 7.0% and 3.5%. CONCLUSIONS: Our research found that the coexistence of these two disorders was more frequent in female rheumatologic patients with a SjS diagnosis with neurological manifestations and in neurologic patients for whom a SjS diagnosis was suspected. Similarly, NMOSD are less frequently found in SLE and very rarely incident in Mixed Connective Tissue Disease (MCTD) patients. These considerations should be taken into account in clinical experience of rheumatologists and neurologists, since early diagnosis of both conditions may influence the timing of immunosuppressive therapy and the prevention of systemic disabilities.

SOX-1 antibodies in a patient with Crohn's disease: a case report.

BACKGROUND: The anti-SOX-1 antibodies have been mainly associated with Lambert-Eaton Myasthenic Syndrome (LETMS) and Small-Cell Lung Cancer (SCLC). In this report, we describe the interesting case of a patient with serum anti-SOX-1 antibodies and Crohn's Disease (CD) with ensuing neurological symptoms. CASE PRESENTATION: A Caucasian 67-year-old female was admitted to the Emergency Department with seizures, vertigo, emesis, nausea, postural instability and recurrent falls, over a period of 10 days. She had been affected by Crohn's Disease since 1991. A CT scan failed to detect any ischemic or haemorrhagic lesion. A brain MRI revealed signs of leukoencephalopathy. Western blot analysis of her serum revealed a high titre of the onconeural antibody anti-SOX1, consistent with a neurological, cerebellar type, paraneoplastic syndrome. In spite of multiple efforts to unmask a possible underlying malignancy, no neoplastic lesion cropped up during hospitalization. Her clinical conditions progressively deteriorated, up to respiratory failure; a few days later she died, due to ensuing septic shock and Multiple Organ Failure. CONCLUSIONS: Our experience may usher and reveal a new role of anti-neural antibodies, so far reckoned an early indicator of associated malignancy, suggesting that neurological syndromes associated with such antibodies may complicate also chronic Gastrointestinal (GI) diseases. As of now, testing for anti-neuronal antibodies appeared unnecessary within the diagnostic assessment of gastroenterological disorders, which may lead to overlooking incident neurologic autoimmune diseases. Further exploration of such research hypothesis in clinical grounds appears intriguing.

Monocyte Distribution Width as a predictor of community acquired sepsis in patients prospectively enrolled at the Emergency Department.

BACKGROUND: Monocyte Distribution Width (MDW), a simple cellular marker of innate monocyte activation, can be used for the early recognition of sepsis. We performed an observational prospective monocentric study to assess the predictive role of MDW in detecting sepsis in a sample of consecutive patients presenting at the Emergency Department. METHODS: Prospective observational study using demographic and clinical characteristics, past medical history and other laboratory measurements to predict confirmed sepsis using multivariate logistic regression. RESULTS: A total of 2724 patients were included in the study, of which 272 (10%) had sepsis or septic shock. After adjusting for known and potential risk factors, logistic regression found the following independent predictors of sepsis: SIRS equal to 1 (OR: 2.32, 1.16-4.89) and 2 or more (OR: 27.8, 14.8-56.4), MDW > 22 (OR: 3.73, 2.46-5.70), smoking (OR: 3.0, 1.22-7.31), end stage renal function (OR: 2.3, 1.25-4.22), neurodegenerative disease (OR: 2.2, 1.31-3.68), Neutrophils ≥ 8.9 × 103/µL (OR: 2.73, 1.82-4.11), Lymphocytes < 1.3 × 103/µL (OR: 1.72, 1.17-2.53) and CRP ≥ 19.1 mg/L (OR: 2.57, 1.63-4.08). A risk score derived from predictive models achieved high accuracy by using an optimal threshold (AUC: 95%; 93-97%). CONCLUSIONS: The study suggests that incorporating MDW in the clinical decision process may improve the early identification of sepsis, with minimal additional effort on the standard procedures adopted during emergency care.

Reliability of predictive models to support early decision making in the emergency department for patients with confirmed diagnosis of COVID-19: the Pescara Covid Hospital score.

BACKGROUND: The hospital management of patients diagnosed with COVID-19 can be hampered by heterogeneous characteristics at entry into the emergency department. We aimed to identify demographic, clinical and laboratory parameters associated with higher risks of hospitalisation, oxygen support, admission to intensive care and death, to build a risk score for clinical decision making at presentation to the emergency department. METHODS: We carried out a retrospective study using linked administrative data and laboratory parameters available in the initial phase of the pandemic at the emergency department of the regional reference hospital of Pescara, Abruzzo, Italy, March-June 2020. Logistic regression and Cox modelling were used to identify independent predictors for risk stratification. Validation was carried out collecting data from an extended timeframe covering other variants of concern, including Alpha (December 2020-January 2021) and Delta/Omicron (January-March 2022). RESULTS: Several clinical and laboratory parameters were significantly associated to the outcomes of interest, independently from age and gender. The strongest predictors were: for hospitalisation, monocyte distribution width ≥ 22 (4.09; 2.21-7.72) and diabetes (OR = 3.04; 1.09-9.84); for oxygen support: saturation < 95% (OR = 11.01; 3.75-41.14), lactate dehydrogenase≥237 U/L (OR = 5.93; 2.40-15.39) and lymphocytes< 1.2 × 103/µL (OR = 4.49; 1.84-11.53); for intensive care, end stage renal disease (OR = 59.42; 2.43-2230.60), lactate dehydrogenase≥334 U/L (OR = 5.59; 2.46-13.84), D-dimer≥2.37 mg/L (OR = 5.18; 1.14-26.36), monocyte distribution width ≥ 25 (OR = 3.32; 1.39-8.50); for death, procalcitonin≥0.2 ng/mL (HR = 2.86; 1.95-4.19) and saturation < 96% (HR = 2.74; 1.76-4.28). Risk scores derived from predictive models using optimal thresholds achieved values of the area under the curve between 81 and 91%. Validation of the scoring algorithm for the evolving virus achieved accuracy between 65 and 84%. CONCLUSIONS: A set of parameters that are normally available at emergency departments of any hospital can be used to stratify patients with COVID-19 at risk of severe conditions. The method shall be calibrated to support timely clinical decision during the first hours of admission with different variants of concern.

Dissecting the Functional Role of the TRIM8 Protein on Cancer Pathogenesis.

TRIM/RBCC are a large family of proteins that include more than 80 proteins, most of which act as E3 ligases and catalyze the direct transfer of Ubiquitin, SUMO and ISG15 on specific protein substrates. They are involved in oncogenesis processes and in cellular immunity. On this topic, we focus on TRIM8 and its multiple roles in tumor pathologies. TRIM8 inhibits breast cancer proliferation through the regulation of estrogen signaling. TRIM8 downregulation in glioma is involved in cell proliferation, and it is related to patients' survival. Several studies suggested that TRIM8 regulates the p53 suppressor signaling pathway: it is involved in the NF-kB pathway (Nuclear Factor kappa light- chain-enhancer of activated B cells) and in STAT3 (Signal Transducer and Activator of Transcription 3) of the JAK-STAT pathway. In this review, we summarize how the association between these different pathways reflects a dual role of TRIM8 in cancer as an oncogene or a tumor suppressor gene.

Peptides Regulating Proliferative Activity and Inflammatory Pathways in the Monocyte/Macrophage THP-1 Cell Line.

This study evaluates the effects of five different peptides, the Epitalon® tetrapeptide, the Vilon® dipeptide, the Thymogen® dipeptide, the Thymalin® peptide complex, and the Chonluten® tripeptide, as regulators of inflammatory and proliferative processes in the human monocytic THP-1, which is a human leukemia monocytic cell line capable of differentiating into macrophages by PMA in vitro. These peptides (Khavinson Peptides®), characterized by Prof. Khavinson from 1973 onwards, were initially isolated from animal tissues and found to be organ specific. We tested the capacity of the five peptides to influence cell cultures in vitro by incubating THP-1 cells with peptides at certain concentrations known for being effective on recipient cells in culture. We found that all five peptides can modulate key proliferative patterns, increasing tyrosine phosphorylation of mitogen-activated cytoplasmic kinases. In addition, the Chonluten tripeptide, derived from bronchial epithelial cells, inhibited in vitro tumor necrosis factor (TNF) production of monocytes exposed to pro-inflammatory bacterial lipopolysaccharide (LPS). The low TNF release by monocytes is linked to a documented mechanism of TNF tolerance, promoting attenuation of inflammatory action. Therefore, all peptides inhibited the expression of TNF and pro-inflammatory IL-6 cytokine stimulated by LPS on terminally differentiated THP-1 cells. Lastly, by incubating the THP1 cells, treated with the peptides, on a layer of activated endothelial cells (HUVECs activated by LPS), we observed a reduction in cell adhesion, a typical pro-inflammatory mechanism. Overall, the results suggest that the Khavinson Peptides® cooperate as natural inducers of TNF tolerance in monocyte, and act on macrophages as anti-inflammatory molecules during inflammatory and microbial-mediated activity.

Monocyte distribution width (MDW) as a new tool for the prediction of sepsis in critically ill patients: a preliminary investigation in an intensive care unit.

BACKGROUND: Monocyte Distribution Width (MDW), a simple proxy marker of innate monocyte activation, can be used for the early recognition of sepsis along with Procalcitonin. This study explored the added value of MDW as an early predictor of ensuing sepsis in patients hospitalised in an Intensive Care Unit. METHODS: We performed an observational prospective monocentric study to estimate the analytical performance of MDW in detecting ensuing sepsis in a sample of consecutive patients assisted in an Intensive Care Unit for > 48 h for any reason. Demographic and clinical characteristics, past medical history and other laboratory measurements were included as potential predictors of confirmed sepsis in multivariate logistic regression. RESULTS: A total of 211 patients were observed, 129 of whom were included in the final sample due to the suspect of ensuing sepsis; of these, 74 (57%) had a confirmed diagnosis of sepsis, which was best predicted with the combination of MDW > 23.0 and PCT > 0.5 ng/mL (Positive Predictive Value, PPV: 92.6, 95% CI: 82.1-97.9). The best MDW cut-off to rule out sepsis was ≤20.0 (Negative Predictive Value, NPV: 86.4, 95% CI: 65.1-97.1). Multivariate analyses using both MDW and PCT found a significant association for MDW > 23 only (OR:17.64, 95% CI: 5.53-67.91). CONCLUSION: We found that values of MDW > 23 were associated with a high PPV for sepsis, whereas values of MDW ≤ 20 were associated with a high NPV. Our findings suggest that MDW may help clinicians to monitor ICU patients at risk of sepsis, with minimal additional efforts over standard of care.

Circulating lymphocyte subsets as promising biomarkers to identify septic patients at higher risk of unfavorable outcome.

BACKGROUND: Early recognition of patients hospitalized for sepsis at higher risk of poor clinical outcome is a mandatory task and many studies suggested that indicators of the immune status may be useful for this purpose. We performed a retrospective, monocentric cohort study to evaluate whether lymphocyte subsets may be useful in predicting in-hospital mortality of septic patients. METHODS: Data of all consecutive patients with a diagnosis of sepsis at discharge and an available peripherical blood lymphocyte subset (CD4, CD8, CD16/CD56 and CD19) analysis at hospital entry were retrospectively collected between January 2015 and August 2018. Clinical characteristics of patients, past medical history and other laboratory parameters were also considered. RESULTS: Two-hundred-seventy-eight septic patients, 171 (61.5%) males, mean age 63.2 ± 19.6 years, were enrolled. Total counts of lymphocytes, CD4 T cells, CD8 T cells and B cells were found significantly lower in deceased than in surviving patients. At univariate analyses, CD4 T cells/µL (OR 0.99 for each incremental unit, 95%CI 0.99-1.10, p < 0.0001), age (OR 1.06, 95%CI 1.04-1.09, p < 0.0001), procalcitonin (OR 1.01, 95%CI 1.01-1.02, p < 0.0001) and female gender (OR 2.81, 95%CI 1.49-5.28, p = 0.001) were associated with in-hospital mortality. When a dichotomic threshold of < 400/µL for CD4 T cells as a dependent variable was considered in multivariate models, age (OR 1.04; 95%CI 1.01-1.09, p = 0.018); female gender (OR 3.18; 95%CI 1.40-7.20, p = 0.006), qSOFA (OR 4.00, 95%CI 1.84-8.67, p < 0.001) and CD4 T cells < 400/µL (OR 5.3; 95%CI 1.65-17.00, p = 0.005) were the independent predictors. CONCLUSIONS: In adjunct to biomarkers routinely determined for the prediction of prognosis in sepsis, CD4 T lymphocytes, measured at hospital entry, may be useful in identifying patients at higher risk of in-hospital death.