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The rise of social media platforms has led to an increase in the flow and dissemination of information, but it has also made generating and spreading rumors easier. Rumor detection requires understanding the context and semantics of text, dealing with the evolving nature of rumors, and processing vast amounts of data in real-time. Deep learning (DL)-based techniques exhibit a higher accuracy in detecting rumors on social media compared to many traditional machine learning approaches. This study presents a systematic review of DL approaches in rumor detection, analyzing datasets, pre-processing methods, feature taxonomy, and frequently used DL methods. In the context of feature selection, we categorize features into three areas: text-based, user-based, and propagation-based. Besides, we surveyed the trends in DL models for rumor detection and classified them into convolutional neural networks (CNN), recurrent neural networks (RNN), graph neural networks (GNN), and other methods based on the model structure. It offers insights into effective algorithms and strategies, aiming to guide researchers, developers, social media users, and governments in detecting and preventing the spread of false information. The study contributes to enhancing research in this field and identifies potential areas for future exploration. [ABSTRACT FROM AUTHOR]

Introduction: Current immunologic methods cannot distinguish Mycobacterium tuberculosis (Mtb) infection statuses, especially to discriminate active tuberculosis (ATB) from latent tuberculosis infection (LTBI). This study explored the potential of latency-associated antigens (Rv1733cSLP and Rv2028c) and multifactorial cytokine detection to distinguish tuberculosis infection states. Methods: ATB patients (20), LTBI healthcare workers (25), fever patients (11), and healthy controls (10) were enrolled. Cytokine levels (IFN-γ, TNF-α, IL-2, IL-6, IP-10, IL-1Ra, CXCL-1, and MCP-1) were measured using Luminex with/without MTB-specific virulence factor and latency-associated antigens stimulation. Results: Without antigen stimulation, IL-6, IP-10, MCP-1, and IL-1Ra were higher in the ATB group than in the LTBI group (p< 0.05), but no significant differences between the ATB group and the fever group. Stimulated with the four antigens, respectively, the cytokines, including IP-10Esat− 6, IP-10CFP− 10, IFN-γRv1733cSLP, IFN-γRv2028c, IL-6Esat− 6, IL-6Rv1733cSLP, IL-6Rv2028c, IL-2Rv1733cSLP, IL-2 Rv2028c, IL-1RaEsat− 6, IL-1RaCFP− 10, IL-1RaRv2028c, CXCL-1Esat− 6, CXCL-1CFP− 10, CXCL-1Rv1733cSLP, CXCL-1Rv2028c, MCP-1Esat− 6 and MCP-1CFP− 10, demonstrated accurate discrimination between ATB and LTBI (p< 0.05). Additive concentrations demonstrated significant secretion differences of IFN-γ, IP-10 and IL-2, primarily by virulence factors in ATB and latency-associated antigens in LTBI. Latency-associated antigens synergized with virulence factors, enhancing TH1-type cytokine diagnostic efficacy for discriminating ATB from LTBI, the AUC for TNF-α increased from 0.696 to 0.820 (p=0.038), IFN-γ increased from 0.806 to 0.962 (p=0.025), and IL-2 increased from 0.565 to 0.868 (p=0.007). Model selected by forward likelihood method indicated combined detection of IFN-γCFP− 10, IFN-γRv1733cSLP, IP-10Rv1733cSLP, and CXCL-1Rv1733cSLP achieved ATB diagnosis (AUC=0.996) and ATB-LTBI differentiation (AUC=0.992). Combined detection of IFN-γCFP− 10 and IFN-γRv1733cSLP achieved tuberculosis infection diagnosis (AUC=0.943). Conclusion: Latency-associated antigens enhance multiple cytokine discriminatory ability, particularly TH1-type cytokines, for differentiating Mtb infection statuses. [ABSTRACT FROM AUTHOR]

Tuberculosis preventive treatment (TPT) is an important strategy for tuberculosis (TB) control. Rheumatic diseases (RD) patients are at high risk for active TB development. More researches are needed in terms of patient compliance in clinical practice. This study aims to explore the potential difficulties and obstacles in latent tuberculosis infection (LTBI) screening and TPT in RD patients. Methods: Convenience sampling was used to recruit RD outpatients who had indications for LTBI screening and TPT. All participants were given questionnaires on knowledge and attitudes regarding screening and preventive treatment of LTBI. Results: Of the 200 RD patients, most people were aware that they were at increased risk of ATB due to their rheumatic disease and knew that TB was curable. The main association with willingness to have screening for LTBI was tertiary education (P = 0.013). The main association with willingness to take treatment for LTBI was a sense of personal risk and belief that the treatment would reduce risk of ATB (P < 0.001). More than half of the people surveyed could not accept taking 6 or more pills per day, while more than half of the patients could tolerate a treatment course of 9 months or longer. Most (65.4%) preferred their own rheumatologists to initiate treatment. Conclusion: Educating RD patients about their individual risks of TB and the side effects of treatment, and educating/empowering rheumatologists to discuss these aspects with their patients and to offer LTBI screening and treatment, may help improve patients′ compliance with LTBI screening and TPT. [ABSTRACT FROM AUTHOR]

P2O5 has been widely used as an acid‐base catalyst for the O‐methylation of catechol to guaiacol due to its suitable acid strength; however, its stability, which is a significant concern for industrial applications, has not seen significant breakthroughs. Herein, we developed a facile impregnation strategy to synthesize Ce promote P2O5 supported on mesoporous silica (CeP/SBA). The CeP/SBA‐500 carbonized at 500 °C exhibited the highest catalytic activity with a catechol conversion of 71.5 %. The high activity stems from the addition of Ce, forming CePO4, which exhibits improved surface acidity compared to P2O5. Importantly, chemisorption and in situ infrared studies revealed that CePO4 shows stronger adsorption of catechol, which then rapidly converts to guaiacol. The CeP/SBA‐500 exhibits excellent stability with no activity decrease after 10 h of continuous flow reaction, attributed to the absence of a decrease in CePO4 surface acidity. [ABSTRACT FROM AUTHOR]

Background: The population with latent tuberculosis infection (LTBI) represents a potential pool of patients with active tuberculosis (ATB). T-SPOT.TB is an important test tool for screening LTBI. Owing to the large population of LTBI patients in China, it is necessary to identify a high-risk group for LTBI and enlarge tuberculosis preventive treatment (TPT) to reduce the incidence of ATB. Methods: Hospitalized patients with positive T-SPOT.TB results were recruited from January 2013 to December 2016. Patients with ATB were excluded. Basic information was collected and the development of ATBs was examined during follow-up. The life-table method was used to calculate cumulative incidence rates. Potential risk factors were analyzed through Cox regression analysis. Results: A total of 1680 patients with LTBI were recruited in the follow-up cohort, and 377 (22.44%) patients dropped out. With a median follow-up time of 81 months [interquartile range (IQR):61– 93], 19 of 1303 patients with LTBI developed ATB. The 1-year incidence of ATB was 614 per 100,000 individuals [95%confidence interval (95% CI):584– 644]. Over 5-year period, the cumulative incidence of ATB was 1496 per 100,000 [95% CI:1430– 1570], and the incidence density was 240 per 100,000 person-years[95% CI:144– 375]. In the Cox regression model, exposure of pulmonary tuberculosis (PTB) [adjusted hazard ratio (aHR)=10.557, 95% CI:2.273– 49.031], maximum daily dosage of glucocorticoids (GCs)≥ 50 mg/d (aHR=2.948, 95% CI:1.122– 7.748), leflunomide (LEF) treatment (aHR=8.572, 95% CI:2.222 − 33.070), anemia (aHR=2.565, 95% CI:1.015– 6.479) and T-SPOT.TB level≥ 300SFCs/106 PBMCs (aHR=4.195, 95% CI:1.365– 12.892) were independent risk factors for ATB development in LTBI patients. Conclusion: The incidence of ATB is significantly higher in hospitalized patients with LTBI than in the general population. The exposure history of PTB, maximum daily dosage of GCs≥ 50 mg/day, LEF treatment, anemia, and T-SPOT.TB level≥ 300SFCs/106PBMCs, were the risk factors of tuberculosis reactivation. Hospitalized LTBI patients with the above factors may need TPT. [ABSTRACT FROM AUTHOR]

Primordial follicles (PFs) function as the long‐term reserve for female reproduction, remaining dormant in the ovaries and becoming progressively depleted with age. Oxidative stress plays an important role in promoting female reproductive senescence during aging, but the underlying mechanisms remain unclear. Here, we find that low levels of reactive oxygen species (ROS) are essential for sustaining PF dormancy. Compared to growing follicles, oocytes within PFs were shown to be more susceptible to ROS, which accumulates and damages PFs to promote reproductive senescence. Mechanistically, oocytes within PFs were shown to express high levels of the intracellular antioxidant enzyme superoxide dismutase 1 (SOD1), counteracting ROS accumulation. Decreased SOD1 expression, as a result of aging or through the experimental deletion of the Sod1 gene in oocytes, resulted in increased oxidative stress and triggered ferroptosis within PFs. In conclusion, this study identified antioxidant defense mechanisms protecting PFs in mouse ovaries and characterized cell death mechanisms of oxidative stress‐induced PF death. [ABSTRACT FROM AUTHOR]

Intramuscular fat (IMF) refers to the lipid stored in skeletal muscle tissue. The number and size of intramuscular adipocytes are the primary factors that regulate IMF content. Intramuscular adipocytes can be derived from either in situ or ectopic migration. In this study, it was discovered that the regulation of IMF levels is achieved through the chemokine (C-C motif) ligand 5 (CCL5)/chemokine (C-C motif) receptor 5 (CCR5) pathway by modulating adipocyte migration. In coculture experiments, C2C12 myotubes were more effective in promoting the migration of 3T3-L1 preadipocytes than C2C12 myoblasts, along with increasing CCL5. Correspondingly, overexpressing the CCR5, one of the receptors of CCL5, in 3T3-L1 preadipocytes facilitated their migration. Conversely, the application of the CCL5/CCR5 inhibitor, MARAVIROC (MVC), reduced this migration. In vivo, transplanted experiments of subcutaneous adipose tissue (SCAT) from transgenic mice expressing green fluorescent protein (GFP) provided evidence that injecting recombinant CCL5 (rCCL5) into skeletal muscle promotes the migration of subcutaneous adipocytes to the skeletal muscle. The level of CCL5 in skeletal muscle increased with obesity. Blocking the CCL5/CCR5 axis by MVC inhibited IMF deposition, whereas elevated skeletal muscle CCL5 promoted IMF deposition in obese mice. These results establish a link between the IMF and the CCL5/CCR5 pathway, which could have a potential application for modulating IMF through adipocyte migration. NEW & NOTEWORTHY C2C12 myotubes attract 3T3-L1 preadipocyte migration regulated by the chemokine (C-C motif) ligand 5 (CCL5)/ chemokine (C-C motif) receptor 5 (CCR5) axis. High levels of skeletal muscle-specific CCL5 promote the migration of subcutaneous adipocytes to skeletal muscle and induce the intramuscular fat (IMF) content.