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Research advances in genetic polymorphisms in Kawasaki disease

Kawasaki disease (KD) is a systemic inflammatory vascular disorder that predominantly affects children and is the leading cause of acquired heart disease in children. Although the etiology of this disease remains unclear, genome-wide association and genome-wide linkage studies have shown that some susceptible genes and chromosomal regions are associated with the development and progression of KD. With the advancement of high-throughput DNA sequencing techniques, more and more genomic information related to KD is being discovered. Understanding the genes involved in the pathogenesis of KD may provide novel insights into the diagnosis and treatment of KD. By analyzing related articles and summarizing related research advances, this article mainly discusses the T cell activation-enhancing genes that have been confirmed to be closely associated with the development and progression of KD and reveals their association with the pathogenesis of KD and coronary artery lesions.

Transcriptional Plasticity Drives IMiD and p300 Inhibitor Resistance in Multiple Myeloma.

In this issue of Blood Cancer Discovery, Neri, Barwick, and colleagues and Welsh, Barwick, and colleagues performed RNA sequencing, chromatin immunoprecipitation sequencing, assay for transposase-accessible chromatin using sequencing, and genetic studies to characterize the underlying mechanisms of immunomodulatory drug (IMiD) resistance in multiple myeloma. They demonstrated that IMiD resistance is driven by sustained expression of MYC and IRF4 via transcriptional plasticity that involves induction of ETV4 and BATF proteins, the binding of these proteins to their super-enhancers, and the recruitment of BRD4 and p300. Finally, these studies suggest IMiD and p300 inhibitor combination as a promising therapeutic strategy in multiple myeloma. See related article by Neri, Barwick, et al., p. 56 (9). See related article by Welsh, Barwick, et al., p. 34 (10).

Gelling Bodies: Understanding the Mechanisms Underlying Arsenic Trioxide Action.

The study by Bercier and colleagues investigates the mechanisms of action of arsenic trioxide (ATO). The authors find that ATO promotes transition of PML nuclear bodies to a gel-like state via the PML trimerization domain and a critical cysteine residue. Overall, this work sheds new light onto how PML-RARα, the oncogene of APL, is targeted by ATO for disease eradication. See related article by Bercier et al., p. 2548 (6).

Noninvasive and Multicancer Biomarkers: The Promise of LINE-1 Retrotransposons.

LINE-1 retrotransposons are frequently active in epithelial tumors. In a new study, Taylor, Wu and colleagues now describe that one of the proteins encoded by LINE-1 elements, ORF1p, is detected in the bloodstream of patients with cancer, and can be used as a noninvasive and multicancer biomarker for diagnosis or treatment monitoring. See related article by Taylor, Wu et al., p. 2532 (7).

Re-"Formate" T-cell Antitumor Responses.

Rowe and colleagues discover that one-carbon (1C) metabolism rewiring occurs upon T-cell activation to support proliferation and cytolytic activity in CD8+ T cells and that supplementation of 1C donor formate rescues the dysfunctional T cells and their responsiveness to anti-PD-1 in selective tumor-infiltrated T-cell subsets. This finding represents an attractive strategy to overcome a metabolic vulnerability in the tumor microenvironment and improve the efficacy of immune checkpoint blockade. See related article by Rowe et al., p. 2566 (8).

In Search of Lost Biomarker for Immunotherapy in Small Cell Lung Cancer.

Chemo-immunotherapy is the current standard of care for extensive-stage small cell lung cancer, but predictive biomarkers are lacking. In a recent article, the authors report the predictive role of programmed death ligand-1 expression and tissue tumor mutational burden on durvalumab ± tremelimumab + platinum-etoposide efficacy. See related article by Paz-Ares et al., p. 824.

From Past to the Future of fMRI in Pediatrics: A Bibliometric Analysis

Context: The use of functional magnetic resonance imaging (fMRI) in the evaluation of children's brains is becoming increasingly popular. However, due to the high number of publications, it's nearly impossible to read all the related articles and become aware of the crucial elements or the best approach to invest time and effort in this field. Objectives: Our goal was to gain a better overall understanding of fMRI publications and to use this information in policy and management contexts to make more efficient decisions. Methods: Data were downloaded from Scopus from the 1990s to the end of 2021 based on the theme of fMRI in pediatrics. The retrieved research articles were analyzed with the Bibliometrix package in R software. Results: From 8,544 documents written by 25,697 authors, the USA is by far the most productive country with a total of 3,609 publications. However, regarding the average article citations, Sweden is at the top of the list, with 77.79 average citations. Important themes include emotion, autism spectrum disorders, attention-deficit/hyperactivity disorders, and childhood maltreatment. Conclusions: The results of the present study on fMRI research in the field of pediatrics will be helpful for professionals to visually understand the pediatric modes and trends in fMRI.

The Use of Social Media as a Source of News in Natural Disaster Areas

Nowadays, uploading surrounding events to media social has been part of people’s daily life. They can upload many things such as their personal activities or even certain circumstances occurred, such as natural disaster. On the other hand, social media can also be a means to convey official statement or information by many parties, including organization, corporation, and even the government, through their official account. These information will then be quoted by journalists to carry out their journalistic tasks. Twitter is one of many brands of social media that is often used by the government to share natural disaster related information which then will be quoted by journalist. In addition to the tweet column, twitter is also equipped with hashtag that encourages easier access to find certain related information. Further, it also provides the space to complete the shared information with pictures and/or videos, along with captions, to provide a brief information related to the picture or video. This study aims to find out how media outlet leverages the information shared on Twitter as a source for their published articles during this digital journalism era, especially for natural disaster related information. This research uses descriptive qualitative method. It will adopt the gatekeeping theory to analyze ethics practices in the development of natural disaster related articles sourced from social media, Twitter. The research found that there is a phenomenon where journalists rely on the information shared through social media, either by an official government owned account or personal owned account, to develop natural disaster related news, especially for those cases when the natural disaster occurred in isolated areas or when the disaster made the areas become isolated. The Twitter-sourced published information presented by the journalist through their media outlets can be in form of articles, pictures, or even videos.

Acceptance and Commitment Therapy pada Pasien Skizofrenia dengan Halusinasi

This study aims to determine the effectiveness of acceptance and commitment therapy in schizophrenic patients with hallucinations. The method used in this study is a systematic literature review with a structured and systematic search on Embase, Clinical Nurse Key, and Scopus databases using the keywords acceptance and commitment therapy AND hallucinations OR hallucinations. The search results on the database contained in him 5 related articles that are eligible to be synthesized and correspond to the theme stating that acceptance and commitment therapy in schizophrenic patients with hallucinations is an effective therapy and can be used as group therapy in community care. Conclusion The use of acceptance and commitment therapy can be applied in providing interventions to hospital, group, and community care patients. 
 
 Keywords: ACT, Acceptance and Commitment Therapy, Hallucinations

CD8+ T Cells Keep Their (K+)urrency for Function.

CD8+ T-cell responses are influenced by ion abundance, which can widely vary within the tumor microenvironment. In this issue, Collier and colleagues investigated how intracellular versus extracellular potassium ion (K+) regulates intratumoral CD8+ T cells. They show that, while excessive extracellular K+ induces exhaustion, intracellular K+ is needed for protection from dysfunction. This work shows additional evidence that the regulation of CD8+ T-cell responses depends on a fine balance between intracellular and extracellular metabolite levels. See related article by Collier et al., p. 36 (2) .

To Quiesce or Senesce, That Is the Question for Dedifferentiated Liposarcoma.

Dedifferentiated liposarcoma (DDLPS) has an appealing therapeutic target due to its CDK4 amplification on chromosome 12q. The understanding of geroconversion from quiescent cells to senescent cells defines a patient's response to CDK4 inhibitors. This new observation will inform not only the ongoing phase III clinical trial of abemaciclib, but all future clinical trials in DDLPS. See related article by Gleason et al., p. 703.

The Effects of Heat Stress on Bakery Workers: A Systematic Review.

Working in hot environments can cause diseases and reduce performance by upsetting the balance of physiological parameters of workers' bodies. Bakers are among the people exposed to heat stress continuously and daily. This review study aimed to investigate the effect of heat stress on bakers. In this review study, the related articles based on keywords were reviewed using "IranMedex", "Science Direct", "PubMed", "Scopus", "Web of Science", "SID", "Google Scholar", and "Magiran" databases from the years 2000 to 2021. The used search terms were "Heat stress", "Heat strain", "Heat exposure", "Heat waves", "Workplace", "Baker", and "health effects". In order to extract the required data, all parts of the articles have been reviewed. Out of the 16 studies reviewed in this study, 43.75% were cross-sectional, 25% were descriptive cross-sectional, and 31.25% were performed according to other study designs. In all of the studies, the WBGT index was used to assess ambient heat stress. In most studies, the mean exposure temperature was higher than the WBGT-ACGIH limit, especially among traditional bakery workers. The findings showed that exposure to thermal stress significantly affects some hematological parameters of blood, oxidative stress, heart rate, and body temperature. The situation of heat stress in the bakery environment is worrying in terms of health and reduced productivity of employees. Therefore, it is essential to take the necessary preventive and control measures to reduce heat stress and the resulting strain.

Towards improved knowledge about water-related extremes based on news media information captured using artificial intelligence

Recent advances in machine learning have enabled near real-time retrieval of information from textual documents impacting a wide range of knowledge domains. This advantage makes of the insight extracted from text-based documents (e.g., reports and news) on water-related events an invaluable source of information that complements traditional approaches. By leveraging machine learning, we can not only characterize the event and determine its magnitude or phases of extreme weather event, but also identify its core elements. This is especially crucial in the current era of climate change, where extreme weather events such as floods or thunderstorms are becoming more frequent and unpredictable. By improving our ability to detect and analyse such events, we can enhance our alert systems and take more effective action to mitigate their impact. In this paper we discuss the role of worldwide media observation in extracting and estimating hydrological characteristics of floods, droughts, and heat waves, through the analysis of three case studies, complementing the information provided by traditional monitoring and measurement methods as an earlier but weaker signal. The results presented in this study indicate that the news media signal can be regarded as relatively good proxy of flood dynamics. It can capture the temporal dynamics of the event, and, in some cases, there could be a clear up to 1-day lag between the peak discharge values (i.e., the most extreme flood situation) and the peak in the number of published news. This lag can be attributed to the time needed by journalists to respond to the situation in publishing related news articles covering the event. Our result show that national and regional news can cover well local events. When compared to floods, drought conditions are less explicitly detected from the media. Our result show that European April 2022 drought did not produce much activity in the media while the combination of drought and extreme heat in July 2022 yielded a significant media coverage throughout the Europe. Hence, this can be attributed to the fact that hydrological drought such as low river flows do not attract much attention by the media unless there is a significant impact on the society. Therefore, media signal can be regarded as a relatively good proxy of the hydro-meteorological conditions in case there is a significant impact on the society such as extreme floods causing many casualties and large economic damage.

Contrast-associated acute kidney injury following intravenous contrast media computed tomography; new concept and future directions: A systematic review study on emergencies patients

Introduction: Computed tomography (CT) is a key method for various disorders. Image can be more quality with intravenous contrast media, however in some cases may be accompanied by a risk of kidney impairment. Objectives: This study aimed to investigate the association between acute kidney injury incidence and intravenous contrast media for CT in emergency patients. Methods and Materials: Search strategies were performed using standard keywords across international databases such as Web of Science, Scopus, Cochrane, PubMed, and Embase. Dimension, OpenGrey, DOAJ, CINAHL, and Google Scholar search engines were searched for a complete search. Additionally, manual searching was conducted using the references of related articles. Studies that reported the correlation between acute kidney injury incidence and intravenous contrast media were included in this systematic review. Results: First, 1185 studies were identified. After duplication, 533 studies remained and 417 were excluded. Out of 116 evaluated studies for retrieval, 49 were eliminated and 67 were assessed for eligibility. Ultimately, 28 studies with 48878 patients were included in the final review. Most of the studies were retrospective cohorts and have found no significant correlation between the incidence of acute kidney injury and intravenous contrast media administration (ICMA) for CT. Conclusion: Intravenous contrast media with a conventional dose for CT does not cause acute kidney injury unless in the presence of a particular condition. Registration: This study was compiled following the PRISMA checklist and its protocol was registered on the PROSPERO (CRD42023448461) and Research Registry (UIN: reviewregistry1690) websites.

Analisis Pengelolaan Arsip Digital Pada PT Anugrah Alam Karunia Abadi

The purpose of this research is to determine digital archive management which includes digital archive management facilities and to determine the positive impact of digital archive management for companies.This research uses a qualitative descriptive approach by describing and analyzing problems related to digital archive management. Primary and secondary data form the basis of qualitative research. Primary data for this research was obtained through documentation, observation, interviews and questionnaires, while secondary data was obtained from books, previous research and related articles.. From the results of this research, it can be seen that PT Anugrah Alam Karunia Abadi has not implemented digital archive management. However, the company is already discussing making a transition to digital archive management. In a comparison between the two methods, manual archives and digital archives, digital archive management increases the ease and speed of the sending, sharing and searching process. This also allows agencies to save physical storage space while providing more efficient access to users. Thus, this research shows that digital archive management can be beneficial for companies, such as improving operational efficiency and resource management. In the case of PT Anugrah Alam Karunia Abadi, implementing digital archive management can be a solution to increase the effectiveness of business processes and information management, and as a result, the company is expected to be able to take appropriate actions to implement digital archive management.

Applications of Information Technology in Building Carbon Flow

The construction industry, as one of the three major carbon emission (CE) industries, accounts for about 39% of the global CE. Thus, approaches for energy saving and emission reduction (ES/ER) cannot be delayed. With the advent of the Industry 4.0 era, information technology (IT) is used to investigate CE in the construction industry, which provides great convenience for measuring and calculating building carbon emissions (BCE) and proposing effective ES/ER measures. However, limited studies have provided a holistic overview of the application of IT in BCE. To fill this gap, this study searched related articles and screened 170 relevant papers. Based on the characteristics of the literature, building carbon flow (BCF) was defined. Based on scientometric analysis and network mapping analysis, combined with quantitative and qualitative analysis methods, the functions, advantages, and limitations of IT in each stage of BCF research were reviewed. Finally, the research trends and future research directions of IT in the BCF were discussed. Specifically, the building information model technology penetrates the whole process of BCF research, deep learning and artificial intelligence have great potential in BCF research, and multi-information technology integration will become the focus of subsequent research in the construction industry.

Investigating Spine and Spinal Cord Complications of COVID-19

Background and Aim: SARS-COV-2 can present with pulmonary, renal, gastrointestinal, hematological, and neurological manifestations. Neurological manifestations may occur after or before COVID-19 symptoms and signs. Spine and spinal cord complications are documented as neurological complications of COVID-19. Spinal cord pathology following COVID-19 showed inflammatory myelopathy and suspected cord ischemia. The most frequent presentation of COVID-19 myelitis is non-enhancing central expansile cord T2 signal changes, but it can present with lateral and dorsal column-specific disease and in some cases with negative magnetic resonance imaging (MRI). There is no known documented mechanism for spinal cord involvement in COVID-19 infection, but it seems as a post-infectious immunological and post-inflammatory disorder and reaction. Viral infection of SARS-CoV-2 can cause demyelination of the brain and spinal cord and also can exacerbate the known primary demyelinating disorders. Methods and Materials/Patients: This is a narrative study about the spinal cord complications of COVID-19. To provide up-to-date information, we precisely reviewed COVID-19 articles on spine and spinal cord complications. Based on the keywords COVID-19, SARS-CoV-2, spine, and spinal cord, all the related articles were taken from Google Scholar, PubMed, and Medline and were precisely studied. Results: There are reported cases of COVID-19 spine and spinal cord involvement. There is no documented mechanism for these involvements but the possible mechanisms are direct invasion, cytokine storm, coagulopathy, and an autoimmune response. The routine therapy of such complications is the treatment of these complications with other primary causes with a poor and unsatisfactory response of myelopathy to treatment; however, early diagnosis and vigilance of such involvement improve outcome. Conclusion: COVID-19 can cause spine and spinal cord complications in some patients without a known incidence rate of such complications. The pathogenesis is not completely known; therefore, more conclusive studies are obligatory to improve our information on COVID-19 spinal cord and spine complications.

Epigenetic Cooperativity as a Therapeutic Vulnerability in Cancer.

NUT carcinoma (NC) is one of the most common types of undifferentiated carcinomas affecting young adults with a dismal prognosis. NUT carcinomas often involve chromosomal translocations, leading to the production of BRD4-NUT fusion protein that generates large domains of hyperactive chromatin and activates oncogenic gene expression. Bromodomain and extraterminal domain (BET) bromodomain inhibitors offer a direct means to block BRD4-mediated gene activation but have shown limited clinical efficacy in patients. In this issue of Cancer Research, Huang and colleagues report an unexpected discovery of a synthetic lethal NC dependency on Polycomb repressive complex 2 (PRC2)-mediated gene repression, including EZH2, the catalytic subunit of PRC2. EZH2 is highly expressed in NC patient tumors and a specific inhibitor of its methyltransferase activity, tazemetostat, exhibits potent antitumor cell activity. While the repressed and activated chromatin domains in NC cells are distinct, the resultant gene expression changes exhibit convergent features, including dysregulation of CDKN2A and the E2F-RB1 axis. As a result, combined treatment of NC tumors with tazemetostat and the BET inhibitor mivebresib produces marked antitumor therapeutic synergy in vitro and in vivo, associated with enhanced suppression of RB1 function through convergent remodeling of NC gene expression. This study advances epigenetic cooperativity as a distinct mode of gene expression dysregulation in NC and nominates a compelling combination epigenetic strategy for investigation in clinical trials for patients. See related article by Huang et al., p. 3956.

Treatment of Cervical Precancers is the Major Remaining Challenge in Cervical Screening Research.

Deepening understanding of cervical cancer pathogenesis has yielded one-dose prophylactic human papillomavirus (HPV) vaccines and accurate HPV-based cervical screening tests. Knowing the heterogeneous carcinogenic potential of the individual high-risk HPV types permits prioritization of vaccination and screening strategies. However, "correct" (i.e., safe and effective) treatment of women found to have precancer is still undefined, forcing reliance on one or more rounds of untargeted destructive/excisional treatment. Both over-treatment and under-treatment are common results. Until safe and effective anti-HPV therapies are invented, defining optimal destructive/excisional treatment of precancer remains a fundamental and under-researched challenge, especially in resource-constrained settings. See related article by King et al., p. 681.

Cultivation of human centered artificial intelligence: culturally adaptive thinking in education (CATE) for AI.

Artificial Intelligence (AI) has become ubiquitous in human society, and yet vast segments of the global population have no, little, or counterproductive information about AI. It is necessary to teach AI topics on a mass scale. While there is a rush to implement academic initiatives, scant attention has been paid to the unique challenges of teaching AI curricula to a global and culturally diverse audience with varying expectations of privacy, technological autonomy, risk preference, and knowledge sharing. Our study fills this void by focusing on AI elements in a new framework titled Culturally Adaptive Thinking in Education for AI (CATE-AI) to enable teaching AI concepts to culturally diverse learners. Failure to contextualize and sensitize AI education to culture and other categorical human-thought clusters, can lead to several undesirable effects including confusion, AI-phobia, cultural biases to AI, increased resistance toward AI technologies and AI education. We discuss and integrate human behavior theories, AI applications research, educational frameworks, and human centered AI principles to articulate CATE-AI. In the first part of this paper, we present the development a significantly enhanced version of CATE. In the second part, we explore textual data from AI related news articles to generate insights that lay the foundation for CATE-AI, and support our findings. The CATE-AI framework can help learners study artificial intelligence topics more effectively by serving as a basis for adapting and contextualizing AI to their sociocultural needs.