Unrelated Diseases Research Articles

A pro-oxidant suppresses unrelated diseases.

A lipid kinase inhibitor ameliorates both prostate cancer and a muscle disease in mice.

The epithelial barrier theory and its associated diseases.

The prevalence of many chronic noncommunicable diseases has been steadily rising over the past six decades. During this time, over 350,000 new chemical substances have been introduced to the lives of humans. In recent years, the epithelial barrier theory came to light explaining the growing prevalence and exacerbations of these diseases worldwide. It attributes their onset to a functionally impaired epithelial barrier triggered by the toxicity of the exposed substances, associated with microbial dysbiosis, immune system activation, and inflammation. Diseases encompassed by the epithelial barrier theory share common features such as an increased prevalence after the 1960s or 2000s that cannot (solely) be accounted for by the emergence of improved diagnostic methods. Other common traits include epithelial barrier defects, microbial dysbiosis with loss of commensals and colonization of opportunistic pathogens, and circulating inflammatory cells and cytokines. In addition, practically unrelated diseases that fulfill these criteria have started to emerge as multimorbidities during the last decades. Here, we provide a comprehensive overview of diseases encompassed by the epithelial barrier theory and discuss evidence and similarities for their epidemiology, genetic susceptibility, epithelial barrier dysfunction, microbial dysbiosis, and tissue inflammation.

GNN4DM: a graph neural network-based method to identify overlapping functional disease modules.

Identifying disease modules within molecular interaction networks is an essential exploratory step in computational biology, offering insights into disease mechanisms and potential therapeutic targets. Traditional methods often struggle with the inherent complexity and overlapping nature of biological networks, and they are limited in effectively leveraging the vast amount of available genomic data and biological knowledge. This limitation underscores the need for more effective, automated approaches to integrate these rich data sources. In this work, we propose GNN4DM, a novel graph neural network-based structured model that automates the discovery of overlapping functional disease modules. GNN4DM effectively integrates network topology with genomic data to learn the representations of the genes corresponding to functional modules and align these with known biological pathways for enhanced interpretability. Following the DREAM benchmark evaluation setting and extending with three independent data sources (GWAS Atlas, FinnGen, and DisGeNET), we show that GNN4DM performs better than several state-of-the-art methods in detecting biologically meaningful modules. Moreover, we demonstrate the method's applicability by discovering two novel multimorbidity modules significantly enriched across a diverse range of seemingly unrelated diseases. Source code, all training data, and all identified disease modules are freely available for download at https://github.com/gezsi/gnn4dm. GNN4DM was implemented in Python.

Role of the Gut Microbiota in the Development of Urolithiasis

This article aims to review the literature regarding assessment of the gut microbiota effect on kidney stone formation. We sought to determine whether several specific gut bacteria or a wider number of members of the gut microbiota are responsible for this association based on the literature data. We conducted an extensive literature search (publications on kidney stones and gut microbiota dated 2013-2023) in PubMed, Cochrane CENTRAL, and Web of Science Core Collection.A large number of earlier studies were focused on physical and chemical properties of crystals formed by kidney stones. In recent years as diagnostic technologies advance, there has been a tendency to study the association of the gut microbiota and the development of other unrelated diseases. Studies have emerged showing the gut microbiota effect on the development of urolithiasis, which suggests that stone formation can be prevented or caused by changing the structure of the gut microbiome. However, further research is needed to identify which genera or types of the gut microbiota break down oxalate and reduce the risk of kidney stone formation.

BCG vaccination of healthcare workers for protection against COVID-19: 12-month outcomes from an international randomised controlled trial

ObjectivesBacille Calmette-Guérin (BCG) vaccine has immunomodulatory effects that may provide protection against unrelated infectious diseases. We aimed to determine whether BCG vaccination protects adults against COVID-19. DesignPhase III double blind randomised controlled trial. SettingHealthcare centres in Australia, Brazil, the Netherlands, Spain, and the United Kingdom during the COVID-19 pandemic. Participants3988 healthcare workers with no prior COVID-19 and no contraindication to BCG. InterventionRandomised 1:1 using a web-based procedure to receive a single 0.1mL intradermal dose of BCG-Denmark (BCG group, n=1999) or saline (placebo group, n=1989). Main outcome measuresDifference in incidence of (i) symptomatic and (ii) severe COVID-19 during the 12-months following randomisation in the modified intention to treat (mITT) population (confirmed SARS-CoV-2 naïve at inclusion). ResultsOf the 3988 participants randomised, 3386 had a negative baseline SARS-CoV-2 test and were included in the mITT population. The 12-month adjusted estimated risk of symptomatic COVID-19 was higher in the BCG group (22.6%; 95% confidence interval [CI] 20.6% to 24.5%) compared with the placebo group (19.6%; 95%CI 17.6% to 21.5%); adjusted difference +3.0 percentage points (95%CI 0.2% to 5.8%; p=0.04). The 12-month adjusted estimated risk of severe COVID-19 (mainly comprising those reporting being unable to work for ≥3 consecutive days) was 11.0% in the BCG group (95%CI 9.5% to 12.4%) compared with 9.6% in the placebo group (95%CI 8.3% to 11.1%); adjusted difference +1.3 percentage points (95%CI -0.7% to 3.3%, p=0.2). Breakthrough COVID-19 (post COVID-19 vaccination), and asymptomatic SARS-CoV-2 infections were similar in the two groups. There were 18 hospitalisations due to COVID-19 (11 in BCG group, 7 in placebo group; adjusted hazard ratio 1.56, 95%CI 0.60 to 4.02, p=0.4) and two deaths due to COVID-19, both in the placebo group. ConclusionsCompared to placebo, vaccination with BCG-Denmark increased the risk of symptomatic COVID-19 over 12 months among health care workers and did not decrease the risk of severe COVID-19 or post-vaccination breakthrough COVID-19. Trial registrationClinicalTrials.gov NCT04327206.

Severe Allergy as a Chronic Inflammatory Condition From a Systems Biology Perspective.

Persistent and unresolved inflammation is a common underlying factor observed in several and seemingly unrelated human diseases, including cardiovascular and neurodegenerative diseases. Particularly, in atopic conditions, acute inflammatory responses such as those triggered by insect venom, food or drug allergies possess also a life-threatening potential. However, respiratory allergies predominantly exhibit late immune responses associated with chronic inflammation, that can eventually progress into a severe phenotype displaying similar features as those observed in other chronic inflammatory diseases, as is the case of uncontrolled severe asthma. This review aims to explore the different facets and systems involved in chronic allergic inflammation, including processes such as tissue remodelling and immune cell dysregulation, as well as genetic, metabolic and microbiota alterations, which are common to other inflammatory conditions. Our goal here was to deepen on the understanding of an entangled disease as is chronic allergic inflammation and expose potential avenues for the development of better diagnostic and intervention strategies.

Innate acting memory Th1 cells modulate heterologous diseases

Through immune memory, infections have a lasting effect on the host. While memory cells enable accelerated and enhanced responses upon rechallenge with the same pathogen, their impact on susceptibility to unrelated diseases is unclear. We identify a subset of memory T helper 1 (Th1) cells termed innate acting memory T (TIA) cells that originate from a viral infection and produce IFN-γ with innate kinetics upon heterologous challenge in vivo. Activation of memory TIA cells is induced in response to IL-12 in combination with IL-18 or IL-33 but is TCR independent. Rapid IFN-γ production by memory TIA cells is protective in subsequent heterologous challenge with the bacterial pathogen Legionella pneumophila. In contrast, antigen-independent reactivation of CD4+ memory TIA cells accelerates disease onset in an autoimmune model of multiple sclerosis. Our findings demonstrate that memory Th1 cells can acquire additional TCR-independent functionality to mount rapid, innate-like responses that modulate susceptibility to heterologous challenges.

Dysbiosis in inflammatory bowel diseases: egg, not chicken

There is agreement that inflammatory bowel diseases are, both in terms of species composition and function, associated with an altered intestinal microbiome. This is usually described by the term “dysbiosis,” but this is a vague definition lacking quantitative precision. In this brief narrative review, the evidence concerning the primary or secondary role of this dysbiotic state is critically evaluated. Among others, the following facts argue against a primary etiological impact: 1) There is no specific dysbiotic microbiome in IBD, 2) the presence or absence of mucosal inflammation has a profound impact on the composition of the microbiome, 3) dysbiosis is not specific for IBD but linked to many unrelated diseases, 4) antibiotics, probiotics, and microbiome transfer have a very limited therapeutic effect, 5) the microbiome in concordant twins is similar to disease-discordant twins, and 6) the microbiome in relatives of IBD patients later developing IBD is altered, but these individuals already display subclinical inflammation.

Amyloid, Crohn's disease, and Alzheimer's disease - are they linked?

Crohn's disease (CD) is a chronic inflammatory disease that most frequently affects part of the distal ileum, but it may affect any part of the gastrointestinal tract. CD may also be related to systemic inflammation and extraintestinal manifestations. Alzheimer's disease (AD) is the most common neurodegenerative disease, gradually worsening behavioral and cognitive functions. Despite the meaningful progress, both diseases are still incurable and have a not fully explained, heterogeneous pathomechanism that includes immunological, microbiological, genetic, and environmental factors. Recently, emerging evidence indicates that chronic inflammatory condition corresponds to an increased risk of neurodegenerative diseases, and intestinal inflammation, including CD, increases the risk of AD. Even though it is now known that CD increases the risk of AD, the exact pathways connecting these two seemingly unrelated diseases remain still unclear. One of the key postulates is the gut-brain axis. There is increasing evidence that the gut microbiota with its proteins, DNA, and metabolites influence several processes related to the etiology of AD, including β-amyloid abnormality, Tau phosphorylation, and neuroinflammation. Considering the role of microbiota in both CD and AD pathology, in this review, we want to shed light on bacterial amyloids and their potential to influence cerebral amyloid aggregation and neuroinflammation and provide an overview of the current literature on amyloids as a potential linker between AD and CD.

Abstract B072: SMAD4 loss allows progression from benign to malignant disease in intraductal papillary mucinous neoplasms

Abstract As increasing numbers of MRIs and other scans are ordered for unrelated diseases, more and more people are being diagnosed with cystic neoplasms of the pancreas. While many or most of these will likely remain benign, intraductal papillary mucinous neoplasms (IPMNs) have a risk of progression to cancer and IPMN is now recognized as another precursor to pancreatic ductal adenocarcinoma. We are investigating the mechanisms by which IPMNs progress from benign to malignant disease in order to identify markers of progression and targets to block that progression. We found that loss of SMAD4 in conjunction with Krasmutation leads to IPMN that quickly becomes invasive in a mouse model. Examining human IPMN tissues, we found that only one in 46 benign IPMN tumors lacked detectable SMAD4 protein. Among 19 cases of invasive IPMNs, the sites of active invasion were SMAD4 negative in 7 cases, nuclear negative/cytoplasm positive in 3 cases (suggesting no active canonical signaling), and a mix of positive and negative cells in 3 cases, implicating complete or partial loss of SMAD-mediated signaling in 68% of actively invading cells. In order to understand how SMAD signaling blocks progression to invasion, we are examining cell lines from a benign mouse model of IPMN. While these lines do not have endogenous TGF beta signaling, they are capable of responding to exogenous TGF beta, suggesting that TGF beta-related ligands may be supplied by the tumor microenvironment rather than the tumor cells themselves. We are currently determining how different TGF beta family members contribute to regulation of growth and invasion in these cells. In summary, loss of the tumor suppressor SMAD4 allows an otherwise benign disease to progress to invasive cancer. Citation Format: Anna L. Means, Hannah Yoo, Quoc-Huy Trinh, Roshini Thiagarajan, Jinghuan Zi, Frank L. Revetta, Marcus C. Tan, Kathleen E. DelGiorno, Mary K. Washington. SMAD4 loss allows progression from benign to malignant disease in intraductal papillary mucinous neoplasms [abstract]. In: Proceedings of the AACR Special Conference in Cancer Research: Pancreatic Cancer; 2023 Sep 27-30; Boston, Massachusetts. Philadelphia (PA): AACR; Cancer Res 2024;84(2 Suppl):Abstract nr B072.

Evaluating the diagnostic accuracy of TpN17 and TmpA recombinant proteins in syphilis detection: a phase II study.

Syphilis is a sexually transmitted infection (STI) caused by the spiral bacterium Treponema pallidum. Diagnosis is based on epidemiology, clinical and serology, but serodiagnosis is challenging because distinct clinical forms of the infection may influence serological performance. Several recombinant Treponema pallidum-proteins have already been tested for syphilis diagnosis and they are critical to achieve high accuracy in serological testing. A total of 647 samples were included in the study: 180 T. pallidum-positive samples, 191 T. pallidum-negative samples and 276 sera from individuals infected with unrelated diseases. The diagnostic potential was validated by analysis of ROC curves. For the indirect ELISA, TpN17 (100%) and TmpA (99%) showed excellent AUC values. Sensitivity values were 97.2% for TpN17 and 90.6% for TmpA, while specificity was 100% for both molecules. According to the clinical phase, TmpA ranged from 84% to 97%, with the highest value for secondary syphilis. TpN17 was 100% sensitive for the primary and secondary stages and 93.2% for recent latent syphilis. All clinical phases achieved 100% specificity. Accuracy values showed that TmpA (> 95%) and TpN17 (> 98%) presented high diagnostic accuracy for all clinical stages of syphilis. Cross-reactivity was only observed in one sample positive for Chagas disease (1.5%), when TpN17 was evaluated. On the other hand, TmpA showed reactivity for two samples positive for Chagas disease (3.1%), one sample positive for HBV (1.25%), two samples positive for HIV (9.5%) and one sample positive for HTLV (1.6%). The TmpA antigen's performance was evaluated in multiple studies for syphilis diagnosis, corroborating our findings. However, TpN17 sensitivity values have ranged in other studies. According to clinical stages of the infection, our findings obtained close performance values.

Simultaneous occurrence of facial neurinoma in internal auditory canal and middle ear paraganglioma in patient. Unusual combination and difficult surgical task

The 59-year-old patient complained of hearing loss on the left, ear murmur for a long time, periodic pain and discomfort in the left ear, dizziness for 6 months. She was found to have concurrent vestibular schwannoma in the internal auditory canal and temporal bone paraganglioma. Both tumors were removed in one operation. The schwannoma was removed by translabirinth access due to preoperative deafness, while the glomus tumor was removed during this access. Postoperative biopsy showed the presence of two unrelated diseases: paraganglioma (ICD-0 code 8690/3) and schwannoma (ICD-0 code 9560/0).

Linking coronary artery disease to neurodegenerative diseases through systems genetics.

Coronary artery disease (CAD) is still a leading cause of death worldwide despite the extensive research and the considerable progresses made through the years. As other cardiovascular diseases, CAD is the result of the complex interaction between genetic variants and environmental factors. Currently identified genetic loci associated to CAD revealed the contribution of multiple molecular pathways to its pathogenesis, suggesting the need for a systemic approach to understand the role of genetic determinants. In this study we wanted to investigate how GWAS variants associated to CAD interact with each other and with nearby genes in the context of the coronary artery molecular interactome. GWAS variants associated to CAD were selected from GWAS Catalog, then, a tissue-specific interactome was constructed integrating protein-protein interactions (PPI) from multiple public repositories and computationally inferred co-expression relationships. To focus on the part of the network most relevant for CAD, we selected the interactions connecting the genes carrying a variant associated to the disease. A functional enrichment analysis conducted on the subnetwork revealed that genes carrying genetic variants associated to CAD closely interact with genes related to relevant biological processes, such as extracellular matrix organization, lipoprotein clearance, arterial morphology and inflammatory response. These results confirm that the identified subnetwork reflects the molecular pathways altered in CAD and intercepted by the selected variants. Interestingly, the most connected nodes of the network included amyloid beta precursor protein (APP) and huntingtin (HTT), both implicated in neurodegenerative disorders. In recent years the interest in investigating the common processes between cardiovascular diseases and neurodegenerative disorders is increasing, with growing evidence of a link between CAD and Alzheimer's disease. The results obtained in this work support the association between such apparently unrelated diseases and highlight the necessity of a systems biology approach to better elucidate shared pathological mechanisms.

Does the leishmaniasis protects against SARS-CoV-2

The relationship between leishmaniasis and COVID-19 remains uncertain, with no evidence suggesting that leishmaniasis provides protection against COVID-19. Leishmaniasis, transmitted by sandflies, and COVID-19, caused by the SARS-CoV-2 virus, are unrelated diseases with distinct transmission modes. It is essential to rely on established preventive measures for COVID-19, such as vaccination and hygiene practices, as leishmaniasis requires separate medical attention. Some studies suggest that visceral Leishmania-COVID-19 co-infection may reactivate asymptomatic leishmaniasis. Severe COVID-19 cases may exacerbate parasitic multiplication and organ involvement. The immunological response to visceral leishmaniasis may increase susceptibility to subsequent SARS-CoV-2 infection, emphasizing the importance of an effective immune response. Cutaneous leishmaniasis may confer cross-protection against COVID-19, particularly in tropical regions. IFN-γ plays a critical role in parasite control and antiviral defense, highlighting its importance in both diseases. Further research is needed to understand the mechanisms underlying the interaction between SARS-CoV-2 and leishmaniasis.

Tenosynovial giant cell tumor: a case report

BackgroundThis case reports the synchronous diagnosis of two rare unrelated diseases; leiomyosarcoma and tenosynovial giant cell tumor of the knee. It focuses on the challenges of diagnosing tenosynovial giant cell tumor, including cognitive biases in clinical medicine that delay diagnosis. It also demonstrates the pathogenic etiology of tenosynovial giant cell tumor, evidenced by the transient deterioration of the patients’ knee symptoms following the administration of prophylactic granulocyte colony-stimulating factor given as part of the chemotherapeutic regime for leiomyosarcoma.Case presentationA 37-year-old Caucasian man presented with a left groin lump and left knee pain with swelling and locking. Investigations including positron emission tomography-computed tomography and biopsy revealed leiomyosarcoma in a lymph node likely related to the spermatic cord, with high-grade uptake in the left knee that was presumed to be the primary site. His knee symptoms temporarily worsened each time granulocyte colony-stimulating factor was administered with each cycle of chemotherapy for leiomyosarcoma to help combat myelosuppressive toxicity. Subsequent magnetic resonance imaging and biopsy of the knee confirmed a tenosynovial giant cell tumor. His knee symptoms relating to the tenosynovial giant cell tumor improved following the completion of his leiomyosarcoma treatment.ConclusionsTenosynovial giant cell tumor remains a diagnostic challenge. We discuss the key clinical features and investigations that aid prompt diagnosis. The National Comprehensive Cancer Network clinical practice guidelines for soft tissue sarcoma have recently been updated to include the pharmacological management of tenosynovial giant cell tumor. Our case discussion provides an up-to-date review of the evidence for optimal management of patients with tenosynovial giant cell tumor, with a particular focus on novel pharmacological options that exploit underlying pathogenesis.

Protocol for a scoping review of the role of siblings in supporting middle-aged and older people with early-acquired severe mental illness

IntroductionFor older individuals who developed severe mental illness (SMI) during late adolescence or early adulthood (referred to as early-acquired SMI), the combination of ageing and SMI presents persistent health and...

Therapy-related Myeloid Neoplasms: Considerations for Patients' Clinical Evaluation.

Therapy-related myeloid neoplasms (t-MNs) encompass a specific sub-group of myeloid malignancies arising after exposure to radio/cytotoxic agents for the treatment of unrelated diseases. Such malignancies present unique features, including advanced age, high comorbidities burden, and unfavorable genetic profiles. All these features justify the need for a specific diagnostic work-up and dedicated treatment algorithms. However, as new classification systems recognize the unique clinical characteristics exhibited by t-MN patients, how to assess fitness status in this clinical setting is largely unexplored. Optimizing fitness assessment would be crucial in the management of t-MN patients, considering that factors usually contributing to a worse or better outcome (like age, comorbidities, and treatment history) are patient-specific. In the absence of specific tools for fitness assessment in this peculiar category of AML, the aim of this review is to describe all those factors related to patient, treatment, and disease that allow planning treatments with an optimal risk/benefit ratio.

Elucidation of bioinformatic-guided high-prospect drug repositioning candidates for DMD via Swanson linking of target-focused latent knowledge from text-mined categorical metadata.

Duchenne Muscular Dystrophy (DMD)'s complex multi-system pathophysiology, coupled with the cost-prohibitive logistics of multi-year drug screening and follow-up, has hampered the pursuit of new therapeutic approaches. Here we conducted a systematic historical and text mining-based pilot feasibility study to explore the potential of established or previously tested drugs as prospective DMD therapeutic agents. Our approach utilized a Swanson linking-inspired method to uncover meaningful yet largely hidden deep semantic connections between pharmacologically significant DMD targets and drugs developed for unrelated diseases. Specifically, we focused on molecular target-based MeSH terms and categories as high-yield bioinformatic proxies, effectively tagging relevant literature with categorical metadata. To identify promising leads, we comprehensively assembled published reports from 2011 and sampling from subsequent years. We then determined the earliest year when distinct MeSH terms or category labels of the relevant cellular target were referenced in conjunction with the drug, as well as when the pertinent target itself was first conclusively identified as holding therapeutic value for DMD. By comparing the earliest year when the drug was identifiable as a DMD treatment candidate with that of the first actual report confirming this, we computed an Index of Delayed Discovery (IDD), which serves as a metric of Swanson-linked latent knowledge. Using these findings, we identified data from previously unlinked articles subsetted via MeSH-derived Swanson linking or from target classes within the DrugBank repository. This enabled us to identify new but untested high-prospect small-molecule candidates that are of particular interest in repurposing for DMD and warrant further investigations.

Animal models for COVID-19 and tuberculosis.

Respiratory infections cause tremendous morbidity and mortality worldwide. Amongst these diseases, tuberculosis (TB), a bacterial illness caused by Mycobacterium tuberculosis which often affects the lung, and coronavirus disease 2019 (COVID-19) caused by the Severe Acute Respiratory Syndrome Coronavirus type 2 (SARS-CoV-2), stand out as major drivers of epidemics of global concern. Despite their unrelated etiology and distinct pathology, these infections affect the same vital organ and share immunopathogenesis traits and an imperative demand to model the diseases at their various progression stages and localizations. Due to the clinical spectrum and heterogeneity of both diseases experimental infections were pursued in a variety of animal models. We summarize mammalian models employed in TB and COVID-19 experimental investigations, highlighting the diversity of rodent models and species peculiarities for each infection. We discuss the utility of non-human primates for translational research and emphasize on the benefits of non-conventional experimental models such as livestock. We epitomize advances facilitated by animal models with regard to understanding disease pathophysiology and immune responses. Finally, we highlight research areas necessitating optimized models and advocate that research of pulmonary infectious diseases could benefit from cross-fertilization between studies of apparently unrelated diseases, such as TB and COVID-19.

Re-Purposing FDA-Approved Drugs for Opioid Use Disorder

Objective To investigate FDA-approved drugs prescribed for unrelated diseases or conditions that promote remission in subjects diagnosed with opioid use disorder (OUD). Methods This was a retrospective observational study utilizing the TriNetX electronic medical record data. Subjects between 18 and 65 years old were included in this study. First, a drug screen was employed to identify medications used for chronic illness that are associated with OUD remission. Based on Fisher’s exact test for significance, 28 of 101 medications were selected for further analysis. Positive (buprenorphine/methadone) and negative controls (benazepril) were included in the analysis. Medications were analyzed in the absence and presence of buprenorphine or methadone, two medications used to treat OUD, to identify the likelihood of OUD remission up to one year following the index event. Results We identify 8 medications (prazosin, propranolol, lithium carbonate, olanzapine, quetiapine, bupropion, citalopram, and escitalopram) that may be useful for increasing remission in OUD in the absence of buprenorphine or methadone. Additionally, our results identify psychiatric medications that when taken alongside buprenorphine and methadone improve remission rates. Conclusion These results provide medication options that may be useful in treating OUD as well as integrated therapies to treat comorbid mental illness.