Molecular mechanisms and clinicopathological characteristics of inhibin ßA in thyroid cancer metastasis.

The present study aimed to investigate the role and mechanism of inhibin ßA (INHBA) in thyroid cancer (TC), and to determine its potential impact on the aggressive behavior of TC cells. The present study employed a comprehensive approach, using public databases, such as the Gene Expression Omnibus and The Cancer Genome Atlas, to identify and analyze the expression of INHBA in TC. Cell transfection, reverse transcription­quantitative PCR, western blot analysis, immunohistochemistry and in vivo assays were conducted to investigate the functional effects of INHBA on TC. In addition, the present study explored the molecular mechanisms underlying the effects of INHBA, focusing on the potential impact on the RhoA signaling pathway and associated molecular cascades. Bioinformatics analysis revealed a significant association between INHBA expression and TC, and INHBA expression was markedly upregulated in TC tissues compared with in healthy control tissues. The results of functional studies demonstrated that INHBA overexpression increased the migration and invasion of TC cells, and the opposite result was observed following INHBA knockdown. Mechanistic investigations indicated that INHBA modulated the RhoA pathway, leading to alterations in the phosphorylation status of LIM kinase 1 (LIMK) and cofilin, key regulators of cytoskeletal dynamics and cell motility. Following the introduction of transfected TC cells into zebrafish and nude mouse models, the results of the present study demonstrated that INHBA knockdown attenuated the metastatic potential of TC cells. In conclusion, INHBA may serve a pivotal role in promoting the aggressive phenotype of TC cells through modulating the RhoA/LIMK/cofilin signaling axis. These findings highlight INHBA as a potential biomarker and therapeutic target for the management of aggressive TC.

Case report: Antisynthetase syndrome with positive anti-PL7/SSA/RO52 antibodies.

Background: Antisynthetase syndrome (ASS) is a rare autoimmune disease characterized by the immune system attacking specific synthetase in the body. Due to the difficulty in clinical diagnosis, there is still a lack of effective treatment. Methods: We report a case of a 50-year-old man who presented with progressive, symmetric limb weakness, starting from the lower limbs and gradually affecting the upper limbs. He was admitted to the intensive care unit (ICU) for treatment due to recurrent fever and coma. When he was admitted to the ICU, his limbs were almost unable to move, and the levels of creatine phosphokinase and muscle glycogen were significantly elevated (2449 u/l and 1857 ng/ml). The electromyogram showed myogenic injury, and the anti-PL7 antibody, anti-SSA antibody, and anti-Ro52 antibody were positive. Pathological biopsy of the left biceps brachii showed striated muscle necrosis and macrophage infiltration. He was finally diagnosed with ASS and received treatment with methylprednisolone (subsequently changed to prednisone) and traditional Chinese medicine (Buzhongyiqi Decoction and Shenlingbaizhu powder). Results: After receiving 2 weeks of glucocorticoid and traditional Chinese medicine treatment, his muscle strength had basically recovered, reaching grade 5 in his limb muscles strength. During the 3-month follow-up period, his activity tolerance continued to improve. Conclusion: We present a case of severe anti-PL7 positive ASS with positive anti-SSA/Ro52 antibody. The disease was relieved by glucocorticoid and traditional Chinese medicine treatment. This provides an effective approach for managing ASS.

Fast and Simple Statistical Shape Analysis of Pregnant Women Using Radial Deformation of a Cylindrical Template.

Non-rigid deformation of a template to fit 3D scans of human subjects is widely used to develop statistical models of 3D human shapes and poses. Complex optimization problems must be solved to use these models to parameterize scans of pregnant women, thus limiting their use in antenatal point-of-care tools in low-resource settings. Moreover, these models were developed using datasets that did not contain any 3D scans of pregnant women. In this study, we developed a statistical shape model of the torso of pregnant women at greater than 36 weeks of gestation using fast and simple vertex-based deformation of a cylindrical template constrained along the radial direction. The 3D scans were pre-processed to remove noisy outlier points and segment the torso based on anatomical landmarks. A cylindrical template mesh T was then fitted onto the segmented scan of the torso by moving each vertex of T in the direction of the radial vector. This process is computationally inexpensive taking only 14.80 seconds to deform a template with 9090 vertices. Principal component analysis (PCA) was performed on the deformed vertex co-ordinates to find the directions of maximum variance. The first 10 principal vectors of our model explained 79.03% of the total variance and reconstructed unseen scans with a mean error of 2.43 cm. We also used the PCA weights of the first 10 principal vectors to accurately predict anthropometric measurements of the pregnant women.

Prevalence, trends, and distribution of hepatitis C virus among the general population in sub-Saharan Africa: A systematic review and meta-analysis.

BACKGROUND AND AIMS: Although the evidence is uncertain, existing estimates for hepatitis C virus (HCV) in sub-Saharan Africa (SSA) indicate a high burden. We estimated HCV seroprevalence and viraemic prevalence among the general population in SSA. METHODS: We searched Medline, Embase, Web of Science, APA PsycINFO, and World Health Organization Africa Index Medicus for community-based studies. Study quality was assessed using the Joanna Briggs Institute critical appraisal tool, and heterogeneity using the index of heterogeneity (I2). Two approaches were deployed. First, we used random-effects meta-analysis to pool prevalence. Second, to derive representative estimates, we weighted each country's HCV seroprevalence using 2021 United Nations country population sizes. RESULTS: We synthesized 130 studies. Overall, SSA HCV seroprevalence from the random-effects model was 4.17% (95% confidence interval [CI]: 3.71-4.66, I2 = 99.30%). There were no differences between males (4.31%) and females (4.03%). Seroprevalence was 2.25%, 3.31%, and 16.23% for ages ≤20, 21-64, and ≥65 years, respectively, and was higher in rural (6.63%) versus urban (2.93%). There was indication of decrement overtime from 5.74% to 4.35% to 3.03% in the years 1984-2000, 2001-2014, and 2015-2023, respectively. The weighted overall SSA HCV seroprevalence was estimated to be 2.30% (95% CI: 1.59-3.00) with regional variation: Africa-Southern (.79%), Africa-Central (1.47%), Africa-Eastern (2.71%), and Africa-Western (2.88%). HCV viremia among HCV seropositives was 54.77% (95% CI: 47.80-61.66). CONCLUSIONS: HCV seroprevalence in SSA remains high. Populations aged ≥65 years, rural communities, Africa-Western, and some countries in Africa-Central and Africa-Eastern appear disproportionately affected. These results underline the need for governmental commitment to achieve the 2030 global HCV elimination targets.

Sjogren's syndrome due to immune checkpoint inhibitors (ICIs): Insights from a single-institution series and systematic review of the literature.

INTRODUCTION: Careful adverse event assessment and management are important when prescribing immune checkpoint inhibitors (ICIs) to cancer patients. Iatrogenic Sjogren's syndrome is a relatively rare immune-related adverse event (irAEs) that affects the moisture-producing glands. METHODS: We describe a series of four patients who developed Sjogren's syndrome while being treated with ICIs at a community cancer center in Southern California, USA (1/1/2017-12/31/2023). Patient, drug and disease-related data were collected by retrospective chart review. A systematic search of the PubMed database was performed to identify similar cases in the literature (1/1/2016-12/31//2023). RESULTS: Of 224 cancer patients at our center treated with ICIs, four (1.8%) developed iatrogenic Sjogren's syndrome. All of our patients were male; three received PD-1 inhibitors (nivolumab, pembrolizumab) and one received the PD-L1 inhibitor atezolizumab. The median time to development of Sjogren's syndrome was 24 weeks (range, 8-36 weeks); dry mouth symptoms were more prominent than dry eye symptoms. None of the patients had elevated SS-A, SS-B or antinuclear antibodies. One patient developed multiple tooth cavities and had several extractions, due to severe xerostomia. Management of all patients was primarily symptomatic. Two cases were irreversible; one was reversible and the 4th case is undermined as he is still on ICI therapy. Our systematic review of the literature identified 80 cases in five articles. Incidence of xerostomia was twice of that of xerophthalmia. The male/female ratio was 1.5:1. SS-A, SS-B, or antinuclear antibodies were found in only 9% of patients. Steroids were reported to have had only a limited role in management. CONCLUSIONS: The incidence of Sjogren's syndrome due to ICIs in our center was 1.8%. Details of clinical course and management in these patients are presented. Caring for patients with ICI-related Sjogren's syndrome is facilitated by a multidisciplinary effort including oncologists, otolaryngologists, dentists, ophthalmologists and rheumatologists. Expanding the knowledge base pertaining to iatrogenic Sjogren's syndrome in patients on ICIs will be helpful in promoting early detection and treatment, and improving outcomes.

Prevalence and clinical significance of anti-SSA antibody in the Chinese health screening population.

Anti-SSA antibodies are non-organ-specific autoantibodies highly prevalent in various autoimmune diseases. This study primarily investigated the prevalence of anti-SSA antibodies in the health screening population. Additionally, we explored the clinical features of the anti-SSA antibody-positive population and evaluated the development of connective tissue diseases (CTD) over the years in individuals with anti-SSA antibodies for whom follow-up was available. 64045 individuals without a history of CTD from 2013 to 2022 who visited Peking Union Medical College Hospital for health screening were screened for autoimmune antibodies. 1.7% (1091/64045) of the Chinese health screening population were positive for anti-SSA antibodies, with a prevalence of 0.9% (290/33829) in men and 2.7% (801/30216) in women. Compared with matched autoantibody-negative controls, anti-SSA antibody-positive individuals had higher levels of serological abnormalities including erythrocyte sedimentation rate (ESR) [10 (6-15) mm/h vs. 7 (4-12) mm/h, p<0.0001], rheumatoid factor (RF) [7.15 (4.30-16.90) IU/ml vs. 5.00 (3.20-7.90) IU/ml, p<0.0001], and Immunoglobulin G [13.09 (11.20-15.45) g/L vs. 11.34 (9.85-13.18) g/L, p<0.0001], and lower levels of white blood cells (WBC) (5.49 ± 1.50 *109/L vs. 5.82 ± 1.49 *109/L, p<0.0001). Additionally, they had a higher proportion of coexisting thyroid autoantibodies, including anti-thyroid peroxidase antibodies (TPO-Ab) (17.1% vs. 11.3%, p<0.0001) and anti-thyroglobulin antibodies (Tg-Ab) (17.8% vs. 11.0%, p<0.0001). Among the 381 subjects who were anti-SSA positive and followed up for a median of 4.6 years, 146 (38.3%) individuals developed CTD, including 68 (17.8%) cases of primary Sjögren syndrome (pSS), 10 (2.6%) cases of rheumatoid arthritis (RA), 5 cases (1.3%) of systemic lupus erythematosus (SLE), and 59 (15.5%) cases of undifferentiated connective tissue disease (UCTD). 235 (61.7%) individuals did not develop CTD over a median time of 5.9 (2.9-8.1) years after the earliest autoantibody detection. Elevated ESR (>20 mm/h), RF positivity (>20 IU/ml), and female gender were identified as independent risk factors for CTD among the anti-SSAantibody-positive individuals. Anti-SSA antibodies were found in 17 among approximately 1000 individuals without a history of autoimmune diseases. Anti-SSA antibody-positive individuals are advised to periodically monitor thyroid function. Elevated ESR (>20 mm/h), female gender, and rheumatoid factor positivity may delineate a high-risk cohort for CTDs.

The Puzzling Coexistence of Eosinophilic Pneumonia With Sjogren's Syndrome: A Diagnostic Dilemma.

We present a case where a patient with no significant pulmonary nor autoimmune medical history presents with acute hypoxic respiratory failure and a dry cough that's made worse when conversing. She gets diagnosed with eosinophilic pneumonia after bronchoalveolar lavage (BAL) showed 70% eosinophils while also having labs highly suggestive of primary Sjogren's syndrome (pSS) with an anti-SSA titer of 111.3 U/mL and anti-SSA 52 kD Ab, immunoglobulin (Ig)G >200 U. The initial treatment plan was to start rituximab to target primary Sjogren's syndrome associated interstitial lung disease (pSS-ILD), however after close discussion with pulmonology, it was changed to mepolizumab to target eosinophilic pneumonia. From a diagnostic standpoint, it may be tricky to determine which disease process is driving the symptoms especially when the patient has labs that are convincing for both.

Variation of temperature increase rate in the Northern Hemisphere according to latitude, longitude and altitude: the Turkey example.

Global climate change notably influences meteorological variables such as temperature, affecting regions and countries worldwide. In this study, monthly average temperature data spanning 73 years (1950-2022) were analyzed for 28 stations in the city centers across seven regions of Turkey. The station warming rates (SWR) were calculated for selected stations and the overall country using Singular Spectrum Analysis (SSA) and Least Square Polynomial Fit (LSPF) methods. The temperature trend in Turkey exhibited a decline until the late 1970s, followed by a continuous rise due to global warming. Between 1980 and 2022, the average SWR in Turkey was found to be 0.52 °C/decade. The SWR was determined to be the lowest in Antakya (0.28 °C/decade) and the highest in Erzincan (0.69 °C/decade). The relationship between SWR and latitude, longitude, altitude, and distance to Null Island (D2NI) was explored through linear regression analysis. Altitude and D2NI were found to be the most significant variables, influencing the SWR. For altitude, the correlation coefficient (R) was 0.39 with a statistically significant value (p) of 0.039. For D2NI, R, and p values were 0.39 and 0.038, respectively. Furthermore, in the multiple regression analysis involving altitude and D2NI, R and p values were determined to be 0.50 and 0.029, respectively. Furthermore, the collinearity analysis indicates no collinearity between altitude and D2NI, suggesting that their effects are separated in the multiple regression.

A single-centre study on abnormal antinuclear antibodies in children caused by intravenous infusion of gamma globulin.

Objective: To clarify the impact of intravenous infusion of gamma globulin (IVIg) on antinuclear antibodies (ANAs) in children. Methods: A retrospective analysis was performed on the data of children with nonspecific autoantibody-related diseases whose antinuclear antibody (ANA) and autoantibody profiles were detected in our hospital from January to March 2022. A total of 108 patients with a clear history of IVIg infusion within 28 days composed the IVIg group, and 1201 patients without a history of IVIg infusion composed the non-IVIg group. Results: All patients in the IVIg group had either positive ANAs or positive autoantibodies. Anti-SSA, anti-Ro52 and anti-AMA Mi2 were the top three autoantibodies in the IVIg group. The proportions of patients who were positive for either of these three autoantibodies in the IVIg group were significantly greater than those in the non-IVIg group (all P<0.5). Spearman correlation analysis revealed that the signal intensities of anti-SSA and anti-Ro52 were negatively correlated with the number of days of ANA detection after IVIg infusion (P<0.05). Multiple logistic analyses revealed that a greater total dosage of IVIg, greater IVIg per kilogram of body weight, and fewer ANA detection days after IVIg infusion were independent risk factors for positive anti-SSA and anti-Ro52 results. Conclusions: It is recommended that if rheumatic diseases are suspected, ANA detection should be carried out beforeIVIg infusion. But for patients who are positive for at least one of these three autoantibodies after IVIg infusion, doctors should first consider adoptive antibodies.

Factors Associated With Non-Uptake of Implantable Cardioverter-Defibrillator (ICD) Among Eligible Patients at a Tertiary Hospital in Kenya.

Background: Efficacy of Implantable Cardioverter-Defibrillator (ICD) implantation in both primary and secondary prevention of Sudden Cardiac Death (SCD) in at-risk population is well established. ICD implantation rates remain low particularly in Africa with a paucity of data regarding factors associated with non-uptake. Objectives: The primary study objective was to determine the factors associated with non-uptake of ICD among heart failure (HF) patients with reduced ejection fraction (EF<35%). Reasons for ICD refusal among eligible patients were reviewed as a secondary objective. Methods: This was a retrospective study among HF patients eligible for ICD implantation evaluated between 2018 to 2020. Comparison between ICD recipient and non-recipient categories was made to establish determinants of non-uptake. Results: Of 206 eligible patients, only 69 (33.5%) had an ICD. Factors independently associated with non-uptake were lack of private insurance (42.3% vs 63.8%; p = 0.005), non-cardiology physician (16.1% vs 5.8%; p = 0.045) and non-ischemic cardiomyopathy (54.7% vs 36.4% p = 0.014). The most common (75%) reason for ICD refusal was inability to pay for the device. Conclusion: ICDs are underutilized among eligible HF with reduced EF patients in Kenya. The majority of patients without ICD had no private insurance, had non-ischemic cardiomyopathy and non-cardiology primary physician. Early referral of HF with reduced EF patients to HF specialists to optimize guideline-directed medical therapy and make ICD recommendation is needed.

Salivary Gland Scintigraphy in Sjögren's Syndrome: A Retrospective Study of Diagnostic Accuracy and Correlation With Histological and Immunological Biomarkers.

Introduction Sicca syndrome, characterized by xerophthalmia and xerostomia, is associated with various autoimmune and non-autoimmune conditions, posing diagnostic challenges. Sjögren's syndrome (SS) is the most prevalent systemic autoimmune disease linked to sicca symptoms. This study evaluates the diagnostic accuracy of salivary gland scintigraphy (SGS) in distinguishing SS from non-Sjögren's sicca conditions, alongside other diagnostic tests. Methods A retrospective analysis was conducted at Hospital Universitario La Paz from December 2019 to March 2023, including 142 patients diagnosed with sicca syndrome. Correlations between qualitative and quantitative SGS data (GE Healthcare, Chicago, Illinois) and multiparametric sicca evaluations were assessed. Results Among the 142 patients, 84 (59.15%) were classified as having SS, with 55 (65.48%) seropositive for anti-Ro antibodies. Abnormal SGS results were found in 135 (95.07%) patients. Qualitative SGS categorized seven (4.93%) as mild, 53 (37.32%) as moderate, 50 (35.21%) as severe, and 21 (14.79%) as functionally annulled. Moderate or worse impairment had a sensitivity of 0.88 and a specificity of 0.17. Functional annulment had a sensitivity of 0.17 and a specificity of 0.97. Quantitative SGS using ejection fraction thresholds of ≤30% and ≤20% had sensitivities of 0.35 and 0.18 and specificities of 0.84 and 0.94, respectively. Quantitative SGS metrics correlated with unstimulated whole salivary flow (WUSF; 0.243; p=0.003) and inversely with lymphocytic infiltration (-0.281; p=0.001). The 2016 American College of Rheumatology/European League Against Rheumatism (ACR-EULAR) classification criteria for Sjögren's syndrome demonstrated an area under the curve (AUC) of 0.932, which improved to 0.951 with the inclusion of SGS parameters. Conclusions SGS is a significant diagnostic tool in the multiparametric evaluation of sicca syndrome, showing strong correlations with histological and immunological markers. Its integration into diagnostic criteria enhances the differentiation between SS and non-Sjögren's sicca conditions, suggesting its potential inclusion in future classification frameworks.

Dual challenge inside the womb: a case report of concomitant fetal atrio-ventricular block associated with maternal anti-SSA antibodies and fetal tachyarrhythmia diagnosed as Wolff-Parkinson-White syndrome after birth.

Fetal autoimmune atrioventricular block (AVB) is a rare but potentially life-threatening condition. It results from the passage of maternal anti-SSA/Ro or Anti SSB/La auto-antibodies into the fetal circulation, leading to inflammation and fibrosis of the AV node and often to irreversible damage. Besides AVB, these antibodies can also cause cardiomyopathies, but there is no evidence linking them to tachyarrhythmias. We present the case of a patient with significant risk factors for fetal AVB: a prior history of hydrops fetalis, high anti-SSA/Ro antibody levels and hypothyroidism. In this case, the use of dexamethasone and intravenous immunoglobulin may have contributed to reversing the first-degree atrioventricular block detected at 19 weeks of gestation. Additionally, at 21 weeks, the fetus developed a tachyarrhythmia that needed treatment with flecainide. Soon after the birth, the newborn underwent ECG Holter and Wolff-Parkinson-White Syndrome (WPWS) was diagnosed. To our knowledge, the coexistence of fetal AVB and WPWS has never been described.

Evaluating the impact of the global evidence, local adaptation (GELA) project for enhancing evidence-informed guideline recommendations for newborn and young child health in three African countries: a mixed-methods protocol.

BACKGROUND: Poverty-related diseases (PRD) remain amongst the leading causes of death in children under-5 years in sub-Saharan Africa (SSA). Clinical practice guidelines (CPGs) based on the best available evidence are key to strengthening health systems and helping to enhance equitable health access for children under five. However, the CPG development process is complex and resource-intensive, with substantial scope for improving the process in SSA, which is the goal of the Global Evidence, Local Adaptation (GELA) project. The impact of research on PRD will be maximized through enhancing researchers and decision makers' capacity to use global research to develop locally relevant CPGs in the field of newborn and child health. The project will be implemented in three SSA countries, Malawi, South Africa and Nigeria, over a 3-year period. This research protocol is for the monitoring and evaluation work package of the project. The aim of this work package is to monitor the various GELA project activities and evaluate the influence these may have on evidence-informed decision-making and guideline adaptation capacities and processes. The specific project activities we will monitor include (1) our ongoing engagement with local stakeholders, (2) their capacity needs and development, (3) their understanding and use of evidence from reviews of qualitative research and, (4) their overall views and experiences of the project. METHODS: We will use a longitudinal, mixed-methods study design, informed by an overarching project Theory of Change. A series of interconnected qualitative and quantitative data collections methods will be used, including knowledge translation tracking sheets and case studies, capacity assessment online surveys, user testing and in-depth interviews, and non-participant observations of project activities. Participants will comprise of project staff, members of the CPG panels and steering committees in Malawi, South Africa and Nigeria, as well as other local stakeholders in these three African countries. DISCUSSION: Ongoing monitoring and evaluation will help ensure the relationship between researchers and stakeholders is supported from the project start. This can facilitate achievement of common goals and enable researchers in South Africa, Malawi and Nigeria to make adjustments to project activities to maximize stakeholder engagement and research utilization. Ethical approval has been provided by South African Medical Research Council Human Research Ethics Committee (EC015-7/2022); The College of Medicine Research and Ethics Committee, Malawi (P.07/22/3687); National Health Research Ethics Committee of Nigeria (01/01/2007).

Adolescent maternal health services utilization and associated barriers in Sub-Saharan Africa: A comprehensive systematic review and meta-analysis before and during the sustainable development goals.

Introduction: Effective and adequate maternal health service utilization is critical for improving maternal and newborn health, reducing maternal and perinatal mortality, and important to achieve global sustainable development goals (SDGs). The purpose of this systematic review was to assess adolescent maternal health service utilization and its barriers before and during SDG era in Sub-Saharan Africa (SSA). Methods: Systematic review of published articles, sourced from multiple electronic databases such as Medline, PubMed, Scopus, Embase, CINAHL, PsycINFO, Web of Science, African Journal Online (AJOL) and Google Scholar were conducted up to January 2024. Assessment of risk of bias in the individual studies were undertaken using the Johanna Briggs Institute (JBI) quality assessment tool. The maternal health service utilization of adolescent women was compared before and after adoption of SDGs. Barriers of maternal health service utilization was synthesized using Andersen's health-seeking model. Meta-analysis was carried out using the STATA version 17 software. Results: Thirty-eight studies from 15 SSA countries were included in the review. Before adoption of SDGs, 38.2 % (95 % CI: 28.5 %, 47.9 %) adolescents utilized full antenatal care (ANC) and 44.9 % (95%CI: 26.2, 63.6 %) were attended by skilled birth attendants (SBA). During SDGs, 42.6 % (95 % CI: 32.4 %, 52.8 %) of adolescents utilized full ANC and 53.0 % (95 % CI: 40.6 %, 65.5 %) were attended by SBAs. Furthermore, this review found that adolescent women's utilization of maternal health services is influenced by various barriers, including predisposing, enabling, need, and contextual factors. Conclusions: There was a modest rise in the utilization of ANC services and SBA from the pre-SDG era to the SDG era. However, the level of maternal health service utilization by adolescent women remains low, with significant disparities across SSA regions and multiple barriers to access services. These findings indicate the importance of developing context-specific interventions that target adolescent women to achieve SDG3 by the year 2030.

Rapid identification model of mine water inrush source using random forest optimized by multi-strategy improved sparrow search algorithm.

Mine water inrush accident is one of the most threatening disasters in coal mine production process. In order to improve the identification accuracy of mine water inrush source, a fast identification method of mine water inrush source based on improved sparrow search (SSA) algorithm coupled with Random Forest algorithm was proposed. Firstly, taking Zhaogezhuang Mine as the research object, six factors were selected as the discriminant index and three principal components were extracted by kernel principal component analysis. Secondly, four strategies are employed to enhance the SSA for achieving the ISSA, while multiple benchmark functions are utilized to validate its performance. The extracted principal components serve as input, and the categories of water inrush sources act as output. Subsequently, the prediction results of Random Forest (RF) algorithm after optimizing hyperparameters through Improve SSA are compared with those obtained from other models. The research findings demonstrate that optimizing the RF model using Improve SSA yields superior predictive performance compared to alternative models. Finally, this model is applied to identify water inrush sources in a mine located in Shandong province. The discrimination results exhibit higher accuracy, precision, recall, and F1 index than other models, thereby confirming the reliability and stability of this approach. The results demonstrate that the kernel principal component analysis-based rapid identification model for mine water outburst source, combined with an improved sparrow search algorithm to optimize Random Forest, exhibits excellent robustness and accuracy. This model effectively fulfills the requirements of identifying mine water outbursts and provides a reliable guarantee for ensuring mining safety production.

Enhancement of gemcitabine sensitivity in intrahepatic cholangiocarcinoma through Saikosaponin-a mediated modulation of the p-AKT/BCL-6/ABCA1 axis.

BACKGROUND: Intrahepatic cholangiocarcinoma (ICC) remains a significant challenge in cancer therapy, especially due to its resistance to established treatments like Gemcitabine, necessitating novel therapeutic approaches. METHODS: This study utilized Gemcitabine-resistant cell lines, patient-derived organotypic tumor spheroids (PDOTs), and patient-derived xenografts (PDX) to evaluate the effects of Saikosaponin-a (SSA) on ICC cellular proliferation, migration, apoptosis, and its potential synergistic interaction with Gemcitabine. Techniques such as transcriptome sequencing, Luciferase reporter assays, and molecular docking were employed to unravel the molecular mechanisms. RESULTS: SSA exhibited antitumor effects in both in vitro and PDX models, indicating its considerable potential for ICC treatment. SSA markedly inhibited ICC progression by reducing cellular proliferation, enhancing apoptosis, and decreasing migration and invasion. Crucially, it augmented Gemcitabine's efficacy by targeting the p-AKT/BCL6/ABCA1 signaling pathway. This modulation led to the downregulation of p-AKT and suppression of BCL6 transcriptional activity, ultimately reducing ABCA1 expression and enhancing chemosensitivity to Gemcitabine. Additionally, ABCA1 was validated as a predictive biomarker for drug resistance, with a direct correlation between ABCA1 expression levels and the IC50 values of various small molecule drugs in ICC gene profiles. CONCLUSION: This study highlights the synergistic potential of SSA combined with Gemcitabine in enhancing therapeutic efficacy against ICC and identifies ABCA1 as a key biomarker for drug responsiveness. Furthermore, the introduction of the novel PDOTs microfluidic model provides enhanced insights into ICC research. This combination strategy may provide a novel approach to overcoming treatment challenges in ICC.

Polysubstance Use and Related Risk Behaviors among People Who Inject Drugs in Kenya Preparing for Hepatitis C Virus Treatment.

Polysubstance use (PSU), injection drug use (IDU), and equipment sharing are associated with bloodborne infection (BBI) transmission risk, particularly Hepatitis C Virus (HCV), yet data on PSU in low- and middle-income countries (LMICs) is limited. We report on baseline PSU, medication-assisted treatment (MAT) engagement, and motivation to reduce IDU among 95 people who inject drugs (PWID) who accessed needle and syringe programs (NSP) in Nairobi and Coastal Kenya prior to HCV treatment. Bivariate and multivariate logistic regression were used to examine the associations between PSU and behaviors that confer HCV transmission and acquisition risks. Most participants (70.5%) reported PSU in the last 30 days, and one-third (35.8%) reported PSU exclusive to just heroin and cannabis use. Common combinations were heroin and cannabis (49.3%), and heroin, cannabis, and bugizi (flunitrazepam) (29.9%). Participants at baseline were receiving MAT (69.5%), already stopped or reduced IDU (30.5%), and were HIV-positive (40%). PSU was significantly associated with IDU (p = 0.008) and the number of times (p = 0.016) and days (p = 0.007) injected in the last 30 days. Participants reported high PSU and equipment sharing, despite high MAT engagement. While co-locating BBI treatment within existing harm reduction services is necessary to promote uptake and curb re-infection, tailored services may be needed to address PSU, particularly in LMICs.

Evaluation of newly synthesized 2-(thiophen-2-yl)-1H-indole derivatives as anticancer agents against HCT-116 cell proliferation via cell cycle arrest and down regulation of miR-25.

In the present study, we prepared new sixteen different derivatives. The first series were prepared (methylene)bis(2-(thiophen-2-yl)-1H-indole) derivatives which have (indole and thiophene rings) by excellent yield from the reaction (2 mmol) 2-(thiophen-2-yl)-1H-indole and (1 mmol) from aldehyde. The second series were synthesized (2-(thiophen-2-yl)-1H-indol-3-yl) methyl) aniline derivatives at a relatively low yield from multicomponent reaction of three components 2-(thiophen-2-yl)-1H-indole, N-methylaniline and desired aldehydes. The anticancer effect of the newly synthesized derivatives was determined against different cancers, colon, lung, breast and skin. The counter screening was done against normal Epithelial cells (RPE-1). The effect on cell cycle and mechanisms underlying of the antitumor effect were also studied. All new compounds were initially tested at a single dose of 100 µg/ml against this panel of 5 human tumor cell lines indicated that the compounds under investigation exhibit selective cytotoxicity against HCT-116 cell line and compounds (4g, 4a, 4c) showed potent anticancer activity against HCT-116 cell line with the inhibitory concentration IC50 values were, 7.1±0.07, 10.5± 0.07 and 11.9± 0.05 µΜ/ml respectively. Also, the active derivatives caused cell cycle arrest at the S and G2/M phase with significant(p < 0.0001) increase in the expression levels of tumor suppressors miR-30C, and miR-107 and a tremendous decrease in oncogenic miR-25, IL-6 and C-Myc levels. It is to conclude that the anticancer activity could be through direct interaction with tumor cell DNA like S-phase-dependent chemotherapy drugs. Which can interact with DNA or block DNA synthesis such as doxorubicin, cisplatin, or 5-fluorouracil and which were highly effective in killing the cancer cells. This data ensures the efficiency of the 3 analogues on inducing cell cycle arrest and preventing cancer cell growth. The altered expressions explained the molecular mechanisms through which the newly synthesized analogues exert their anticancer action.

A birth-death model to understand bacterial antimicrobial heteroresistance from time-kill curves.

Antimicrobial heteroresistance refers to the presence of different subpopulations with heterogeneous antimicrobial responses within the same bacterial isolate, so they show reduced susceptibility compared with the main population. Though it is widely accepted that heteroresistance can play a crucial role in the outcome of antimicrobial treatments, predictive Antimicrobial Resistance (AMR) models accounting for bacterial heteroresistance are still scarce and need to be refined as the techniques to measure heteroresistance become standardised and consistent conclusions are drawn from data. In this work, we propose a multivariate Birth-Death (BD) model of bacterial heteroresistance and analyse its properties in detail. Stochasticity in the population dynamics is considered since heteroresistance is often characterised by low initial frequencies of the less susceptible subpopulations, those mediating AMR transmission and potentially leading to treatment failure. We also discuss the utility of the heteroresistance model for practical applications and calibration under realistic conditions, demonstrating that it is possible to infer the model parameters and heteroresistance distribution from time-kill data, i.e., by measuring total cell counts alone and without performing any heteroresistance test.