bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social media provides support and education for pregnant people when healthcare does not
Authors: Faro Elissa Z. , Santillan Donna A. , Funk Meghan L. , Boeldt Kara , Santillan Mark K. 
Published: November 2024

IntroductionThe use of social media for health-related reasons is growing, but there is a dearth of research on the mechanisms of support provided. Understanding how social media groups work could improve communications between providers and patients. Preeclampsia (PreE) is a hypertensive disease of pregnancy that has short- and long-term physical and psychosocial effects. The Preeclampsia, Eclampsia &amp; HELLP Syndrome Survivors Global Support Network (PEHSS) Facebook group is an online, international, moderated support group that provides evidence-based information and community support. Our study aimed to (1) characterize the forms of social support and types of information sought and provided from the perspective of the group moderators and members, and (2) describe group members' experiences of patient care. We triangulated interview and survey findings to identify gaps in care, ultimately to inform in improvements in care delivery.MethodsWe began with 30–45-minute semi-structured interviews with PEHSS moderators exploring experiences and perceptions of membership; preliminary findings were member-checked with additional moderators. Interviews were analyzed using template and matrix analysis. Based on emergent themes, we conducted an online, validated patient experience survey with PEHSS members that was analyzed using descriptive statistics.ResultsEmotional and social support, mental health, resources and education, and personal health advocacy emerged as major themes in the 12 interviews. 1,148 PEHSS members responded to the survey. 68% of survey participants wanted to be more involved in the decisions about their care and treatment and over 30% felt they were not informed about danger signals post discharge while approximately half reported always feeling treated with respect and dignity while in the hospital. Geographic analysis showed differences in experiences of communication with providers within and outside the US.DiscussionThe triangulated results from interviews and surveys indicated a need for better communication with providers and the ability for patients to have more input on their care. The survey results indicate a global issue in providing support for people with hypertensive disorders of pregnancy during their hospitalization. The needs currently supported through communities on social media highlight opportunities to address critical gaps in care.
Research trend and hotspots of polycystic ovary syndrome with depression from 1993 to 2024: a bibliometric analysis
Authors: Xie Jing , Cao Yi , Wen Qian , Song Xuxia , Shi Yuanyuan , Gao Xia 
Published: November 2024

BackgroundPolycystic ovary syndrome (PCOS), a common endocrine disorder, affects women of reproductive age, and its adverse consequences affect women throughout their lifespan, from adolescence to postmenopause. The prevalence of depression is much higher in women with PCOS than in healthy controls. Thus, it is recommended that depressive syndrome be screened routinely in all patients with PCOS at diagnosis. To date, no comprehensive bibliometric analysis has been conducted in this field. Therefore, we conducted a bibliometric analysis to describe the current status, trends, and hotspots of PCOS research related to depression.Materials and methodsUsing data retrieved from the Web of Science (WoS) Core Collection database from 1993 to 2024, bibliometric analyses were performed using WoS and CiteSpace software.ResultsSince the first paper was published in 1993, studies related to PCOS and depression have remained rare in the following decade. Since the establishment of the Rotterdam criteria in 2003, research on the etiology, pathogenesis, and treatment of PCOS with depressive syndrome has entered a booming period. The United States and Australia indisputably took leading positions in this area, with the most outstanding institutions in the world being the University of Pennsylvania and Monash University. Although achievements have flourished since 2003, the exact pathogenesis of PCOS remains uncertain owing to its heterogeneity. New research is rapidly increasing to fill these gaps and to push forward the goal of improving the quality of life in women with PCOS and depression. Along with progress in research, the world's leading societies organize conferences every 5 years to update guidelines for the assessment and management of PCOS. “Oxidative stress,” “inflammation,” “obstructive sleep apnea,” “gut microbiota,” and “single nucleotide polymorphism” appeared as new hotspots in the recent 5 years.ConclusionA bibliometric analysis was performed to describe the trends and hotspots of research in women with PCOS and depression to attract the attention of more researchers to this topic.Systematic Review Registrationhttps://www.webofscience.com/wos/woscc/basic-search.
Long COVID symptoms 6 months after acute infection among people living with HIV and people not living with HIV
Authors: Li Qin , Ma Yijie , He Peng , Chen Dongqiong , Zhang Tingrui , Wang Xiaoying , Xu Ying , Li Peiming , Wen Weibo , Wang Zefeng 
Published: November 2024

BackgroundChronic viral infections, such as Human Immunodeficiency Virus (HIV), and their reactivation are considered potential contributing factors to Long-Corona Virus Disease (LC). However, research on the long-term sequelae of Long-COVID in individuals with HIV is limited.MethodsWe conducted a case-control study involving a total of 84 participants categorized into two groups: people living with HIV (PLWH) and people not living with HIV (PNLWH) within the six-month post-infection LC population. Differences in sequelae symptoms, cardiovascular biomarkers (VCAM-1, ICAM-1, and ACE2), Severe Acute Respiratory Syndrome Coronavirus 2 neutralization antibodies (SARS-CoV-2 nAb) and cytokines (IFN-γ, IL-6, and IL-17) were analyzed between the two groups.ResultsAfter 6 months of infection, PLWH exhibited significantly higher serum levels of ACE2, VCAM-1, and ICAM-1 (P &lt; 0.01, respectively) compared to PNLWH with COVID-19. Additionally, sequelae symptoms were more pronounced in PNLWH, and there were no differences in serum levels of IFN-γ, TNF-α, IL-6, and IL-17 between the two groups (P &gt; 0.05, respectively).ConclusionPLWH had lower symptoms of LC and reduced frequency of symptoms, increased cardiovascular risk factors, and no differences in levels of inflammation or SARS-CoV-2 nAb levels when compared to PNLWH.
Intratumoral delivery of mRNA encoding the endogenous TLR2/6 agonist UNE-C1 induces immunogenic cell death and enhances antitumor activity
Authors: Kim Uijoo , Hwang Sunkyo , Cho Seongmin , Kim Hyeong Yun , Ban Hamin , Park Joohee , Mun Jeongwon , Kim Nayoung , Suh Ji Hun , Choi Jihye , Shin Yungyeong , Kim Sang Bum , Yoon Ina , Kwon Hyuk-Sang , Kim Sunghoon 
Published: November 2024

IntroductionRecent investigations have highlighted the intratumoral administration of Toll-like receptor (TLR) ligands as a promising approach to initiate localized immune responses and enhance antitumor immunity. However, the clinical application of these ligands is limited by their rapid dissemination from the tumor microenvironment, raising concerns about reduced effectiveness and systemic toxicity.MethodsTo address these challenges, our study focused on the intratumoral delivery of mRNA encoding UNE-C1, a TLR2/6 ligand known for its efficacy and low toxicity profile. We explored the potential of UNE-C1 to induce immunogenic cell death (ICD) through autocrine mechanisms, facilitated by the release of damage-associated molecular patterns (DAMPs) triggered by TLR2 activation.ResultsOur findings indicate that sensitivity to UNE-C1-induced cell death is dependent on the expression levels of TLR2 and the Fas-associated death domain (FADD) in cancer cells. Furthermore, we investigated the paracrine activation of dendritic cells (DCs) by UNE-C1 via TLR2 signaling, which primes a CD8+ T cell response essential for tumor regression.DiscussionOur results advocate for the intratumoral delivery of UNE-C1 via mRNA therapy as a promising strategy for innovative antitumor treatments.
Evaluating the prognostic potential of telomerase signature in breast cancer through advanced machine learning model
Authors: Guo Xiao , Cao Yuyan , Shi Xinlin , Xing Jiaying , Feng Chuanbo , Wang Tao 
Published: November 2024

BackgroundBreast cancer prognosis remains a significant challenge due to the disease's molecular heterogeneity and complexity. Accurate predictive models are critical for improving patient outcomes and tailoring personalized therapies.MethodsWe developed a Machine Learning-assisted Telomerase Signature (MLTS) by integrating multi-omics data from nine independent breast cancer datasets. Using multiple machine learning algorithms, we identified six telomerase-related genes significantly associated with patient survival. The predictive performance of MLTS was evaluated against 66 existing breast cancer prognostic models across diverse cohorts.ResultsThe MLTS demonstrated superior predictive accuracy, stability, and reliability compared to other models. Patients with high MLTS scores exhibited increased tumor mutational burden, chromosomal instability, and poor survival outcomes. Single-cell RNA sequencing analysis further revealed higher MLTS scores in aneuploid tumor cells, suggesting a role in cancer progression. Immune profiling indicated distinct tumor microenvironment characteristics associated with MLTS scores, potentially guiding therapeutic decisions.ConclusionsOur findings highlight the utility of MLTS as a robust prognostic biomarker for breast cancer. The ability of MLTS to predict patient outcomes and its association with key genomic and cellular features underscore its potential as a target for personalized therapy. Future research may focus on integrating MLTS with additional molecular signatures to enhance its clinical application in precision oncology.
A multi-antigen vaccinia vaccine broadly protected mice against SARS-CoV-2 and influenza A virus while also targeting SARS-CoV-1 and MERS-CoV
Authors: Gao Nan , Yang Tianhan , Dong Lanlan , Tang Wanda , Cao Kangli , Ding Longfei , Zhu Cuisong , Bai Shimeng , Xia Ai , Zhu Youwei , Zhao Chen , Peng Haoran , Xu Jianqing , Zhang Xiaoyan 
Published: November 2024

IntroductionCoronaviruses and influenza viruses are significant respiratory pathogens that cause severe disease burdens and economic losses for society. Due to their diversity and evolution, vaccines typically require periodic updating to remain effective. An additional challenge is imposed by the possible coinfection of SARS-CoV-2 and influenza, which could increase disease severity.MethodsWe developed a vaccinia vaccine, named rTTV-RBD-HA2, broadly targeting coronaviruses and influenza viruses. This vaccine expresses three fusion proteins, each comprising the receptor-binding domain (RBD) from one of the three highly pathogenic coronaviruses (SARS-CoV-2, SARS-CoV, and MERS-CoV) and the conserved HA stalk region from two influenza viruses (pdmH1N1 and nH7N9) belonging to groups 1 and 2, respectively.ResultsThe multi-targeting nature of this vaccine was validated by its success in inducing antibody responses to the three RBDs and both group 1 and 2 HAs in mice. Importantly, it also generated robust T cell responses to all the immunogens, which could be mobilized to the lung through intranasal vaccination. Consistent with this broad immunogenicity profile, when administered via intramuscular priming and two intranasal boosts, rTTV-RBD-HA2 effectively protected vaccinated mice against challenges of the wild-type SARS-CoV-2 virus, the Omicron XBB variant, and the influenza A H1N1 and H3N2 viruses.DiscussionOur results collectively support the candidacy of recombinant rTTV-RBD-HA2 as a novel respiratory virus vaccine that provides cross-protection against coronaviruses and influenza viruses, surpassing the breadth of previous vaccines. Additionally, they underscore the importance of establishing a strong mucosal T cell response in the development of a universal respiratory virus vaccine.
Green carbon dots derived from Zingiberis Rhizoma Carbonisatum alleviate ovalbumin-induced allergic rhinitis
Authors: Zhou Long , Yang Yingxin , Li Tingjie , Zhao Yafang , Yuan Jinye , He Chenxin , Huang Yan , Ma Jinyu , Zhang Yue , Lu Fang , Wu Jiaze , Li Zijian , Kong Hui , Zhao Yan , Qu Huihua 
Published: November 2024

BackgroundAllergic rhinitis (AR) affects up to 40% of the population, leading to significant healthcare expenditures. Current mainstream treatments, while effective, can lead to side effects and do not address the underlying immunological imbalances. Zingiberis Rhizoma Carbonisatum (ZRC), the partially charred product of Zingiberis Rhizoma (ZR), has been widely used clinically in China since ancient times to treat respiratory disorders.MethodsInspired by the similarity between high-temperature pyrolysis and carbonization processing of herbal medicine, ZRC derived CDs (ZRC-CDs) were extracted and purified through several procedures. Then, the physicochemical characteristics of CDs were delineated through a suite of characterization methods. Moreover, our investigation zeroed in on elucidating the ameliorative impacts of CDs on ovalbumin-induced rat models alongside their underlying mechanisms.ResultsZRC-CDs with particle sizes ranging from 1.0 to 3.5 nm and rich surface functional groups. Additionally, we observed that ZRC-CDs significantly attenuated nasal symptoms and pathological damage in ovalbumin-induced AR rats, and modulated lipid metabolism and type 2 inflammatory responses. They also inhibit PI3K/AKT and JAK/STAT pathways, which are associated with metabolism and inflammation. Importantly, ZRC-CDs demonstrated high biocompatibility, underscoring their potential as a novel therapeutic agent.ConclusionZRC-CDs offer a promising alternative for AR treatment and could help facilitate broader clinical use of the ZRC. In addition, the exploration of the inherent bioactivity of CDs can help to broaden their biological applications.
Research on the effect of LAMP1 in the development and progression of ccRCC and its potential mechanism with LC3C-mediated autophagy
Authors: Wang Xiongbao , Fang Liang , Xiao Lixiang , Zhong Guangxin , Han Minghao , Wang Bingshen , Ren Juchao , Zang Yuanwei 
Published: November 2024

BackgroundLysomembrane-associated protein 1 (LAMP1), known to exhibit differential expression in various tumor types and play a crucial role in the development of tumors. Clear cell Renal Cell Carcinoma (ccRCC) is still the most common pathological type of renal carcinoma with poor prognosis. However, the expression of LAMP1 and its underlying molecular mechanism with ccRCC remain elusive.MethodsFirstly, the expression of LAMP1 in ccRCC and its clinical significance were analyzed using various databases. Next, Weston Blot was performed to detect the expression of LAMP1 protein in cancer tissues and adjacent tissues from 60 pairs of clinical ccRCC patients. The correlation between LAMP1 expression and different clinical indicators as well as the relationship with patient prognosis was analyzed. Furthermore, molecular cell biology experiments were conducted to validate the effects of LAMP1 gene expression on cell proliferation, invasion and migration. Additionally, we investigated the impact of VHL, a key gene in renal cancer, and LC3C, an autophagy-related gene, on LAMP1 expression through molecular biology experiments to elucidate the potential underlying mechanism.ResultsBioinformatics analysis revealed significant underexpression of LAMP1 in ccRCC (P&lt;0.001), which correlated with poorer prognosis. In multivariate survival analysis, LAMP1 emerged as an independent prognostic marker for overall survival(OS)(P&lt;0.05). Analysis of cancer and paracancer tissue samples from ccRCC patients demonstrated significantly lower levels of LAMP1 in tumors compared to paracancerous tissues (P&lt;0.001), confirming its prognostic impact. Cell functionality experiment revealed that elevated LAMP1 inhibited cell proliferation, migration, and invasion. LAMP1 expression remained unchanged during autophagy modulation but decreased with LC3C knockdown and vice versa. Notably, VHL(+) cells expressed less LAMP1 than VHL(-) cells.ConclusionsThese findings indicate that low expression levels of LAMP1 is associated with poor prognosis in ccRCC. Therefore, LAMP1 emerges as a novel biomarker associated with the diagnosis and prognosis of renal cancer. Furthermore, we have also described the potential mechanism of action of LAMP1 in renal cancer. LAMP1 is a promising target for the treatment of ccRCC.
Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy
Authors: Zhang Yi , Wang Yuzhi , Qian Haitao 
Published: November 2024

BackgroundLung adenocarcinoma (LUAD) is a heterogeneous tumor characterized by diverse genetic and molecular alterations. Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.MethodsData on clinical and pathological characteristics, genetic alterations, DNA methylation patterns, and the expression of mRNA, lncRNA, and microRNA, along with somatic mutations in LUAD patients, were gathered from the TCGA and GEO datasets. A computational workflow was utilized to merge multi-omics data from LUAD patients through 10 clustering techniques, which were paired with 10 machine learning methods to pinpoint detailed molecular subgroups and refine a prognostic risk model. The disparities in somatic mutations, copy number alterations, and immune cell infiltration between high- and low-risk groups were assessed. The effectiveness of immunotherapy in patients was evaluated through the TIDE and SubMap algorithms, supplemented by data from various immunotherapy groups. Furthermore, the Cancer Therapeutics Response Portal (CTRP) and the PRISM Repurposing dataset (PRISM) were employed to investigate new drug treatment approaches for LUAD. In the end, the role of SLC2A1 in tumor dynamics was examined using RT-PCR, immunohistochemistry, CCK-8, wound healing, and transwell tests.ResultsBy employing multi-omics clustering, we discovered two unique cancer subtypes (CSs) linked to prognosis, with CS2 demonstrating a better outcome. A strong model made up of 17 genes was created using a random survival forest (RSF) method, which turned out to be an independent predictor of overall survival and showed reliable and impressive performance. The low-risk group not only had a better prognosis but also was more likely to display the “cold tumor” phenotype. On the other hand, individuals in the high-risk group showed a worse outlook and were more likely to respond positively to immunotherapy and six particular chemotherapy medications. Laboratory cell tests demonstrated that SLC2A1 is abundantly present in LUAD tissues and cells, greatly enhancing the proliferation and movement of LUAD cells.ConclusionsThorough examination of multi-omics data offers vital understanding and improves the molecular categorization of LUAD. Utilizing a powerful machine learning system, we highlight the immense potential of the riskscore in providing individualized risk evaluations and customized treatment suggestions for LUAD patients.
The effector function of mucosal associated invariant T cells alters with aging and is regulated by RORγt
Authors: Yang Zhi , Luo Banxin , Li Minhuan , He Ziyun , Ren Chuanfu , Chen Xin , Kang Xing , Chen Hong , Xu En , Guan Wenxian , Xia Xuefeng 
Published: November 2024

IntroductionMucosal-associated invariant T (MAIT) cells are a predominant subset of innate-like T cells in humans, characterized by diverse gene expression profiles and functional capabilities. However, the factors influencing the transcriptomes and effector functions of MAIT cells, particularly at mucosal barriers, remain largely unclear.MethodsIn this study, we employed single-cell RNA sequencing (scRNA-seq) and functional assays to investigate the transcriptomic and functional characteristics of intestinal MAIT cells in mouse models during aging. We also extended scRNA-seq analysis to human intestinal MAIT cells to compare their gene expression patterns with those observed in aged mice.ResultsOur findings demonstrated that the transcriptomes and functional capabilities of intestinal MAIT cells shifted from MAIT17 to MAIT1 profiles with aging in mouse models, with notable changes in the production of cytotoxic molecules. Further scRNA-seq analysis of human intestinal MAIT cells revealed a segregation into MAIT1 and MAIT17 subsets, displaying gene expression patterns that mirrored those seen in aged mouse models. The transcription factor RORγt was expressed in both MAIT1 and MAIT17 cells, acting to repress IFNγ production while promoting IL17 expression. Moreover, reduced expression of RORC and Il17A was correlated with poorer survival outcomes in colorectal cancer patients.DiscussionThese results suggest that aging induces a functional shift between MAIT1 and MAIT17 cells, which may be influenced by transcriptional regulators like RORγt. The observed alterations in MAIT cell activity could potentially impact disease prognosis, particularly in colorectal cancer. This study provides new insights into the dynamics of MAIT cell responses at mucosal barriers, highlighting possible therapeutic targets for modulating MAIT cell functions in aging and disease.