Clinical and biochemical characteristics for patients with polyneuropathy, organomegaly, endocrinopathy, M-protein, and skin changes syndrome: a pilot observational study by Pei Li, Ye Zhang, Li-Min Luo, Wen-Qing Wang, Jing Li, Yan Cheng, Xiao Dang, Yang Chen, Wei Jiang

“…BackgroundPolyneuropathy, organomegaly, endocrinopathy, M-protein, and skin changes (POEMS) syndrome is rare life-threatening condition associated with a clonal plasma cell neoplasm.ObjectiveThe aim of this study is to investigate the clinical and biochemical features in patients with POEMS syndrome before and post-therapy.MethodsCharacteristics of demographic information, underlying diseases, clinical manifestations, laboratory indicators, and imaging examination were retrospectively collected when diagnosed and post-therapy in the patients POEMS syndrome between 2018 and 2024.ResultsNineteen newly-diagnosed, treatment-naïve patients with POEMS syndrome were enrolled. …”
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Interpretable machine learning and radiomics in hip MRI diagnostics: comparing ONFH and OA predictions to experts by Tariq Alkhatatbeh, Ahmad Alkhatatbeh, Qin Guo, Jiechen Chen, Jidong Song, Xingru Qin, Wang Wei

“…The evaluation was carried out using receiver operating characteristic (ROC) curves. Then NaiveBayes (NB) was selected to establish our final Radiomics-model as it performed the best. …”
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IL-21 shapes the B cell response in a context-dependent manner by Youngjun Kim, Francesca Manara, Simon Grassmann, Kalina T. Belcheva, Kanelly Reyes, Hyunu Kim, Stephanie Downs-Canner, William T. Yewdell, Joseph C. Sun, Jayanta Chaudhuri

“…While IL-21 induced apoptosis in a STAT3-dependent manner in naive B cells, it promoted the robust proliferation of pre-activated B cells, particularly IgG1+ B cells. …”
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Targeting the NLRP3 inflammasome abrogates cardiotoxicity of immune checkpoint blockers by Ping Li, Zhen Qin, Yang Lu, Jiamin Gao, Zhenwei Wang, Ge Zhang, Han Yang, Yachen Hou, Dashuai Wang, Pengchong Du, Yunzhe Wang, Quanzhou Chen, Zhaowei Sun, Jinying Zhang, Junnan Tang

“…Single-cell RNA sequencing elucidated that MCC950 treatment reduced the cardiac infiltration of pathogenic macrophages, cytotoxic T cells, activated T cells, and their production of inflammatory cytokines, while enhancing the presence of reparative macrophages and naive T cells. In addition, MCC950 attenuated cardiotoxicity induced by dual programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) immunotherapy and promoted tumor regression, and showed efficacy in treating established cardiotoxicity.Conclusions Our findings provide a promising clinical approach for preventing and treating cardiotoxicity induced by ICIs, dissociating the antitumor efficacy of ICI-based therapies from their cardiotoxic side effects.…”
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Wnt signaling as a translational target in rheumatoid and psoriatic arthritis by Gloria Riitano, Francesca Spinelli, Valeria Manganelli, Daniela Caissutti, Antonella Capozzi, Cristina Garufi, Tina Garofalo, Roberta Misasi, Maurizio Sorice, Fabrizio Conti, Agostina Longo, Cristiano Alessandri

“…Methods Sera from 18 RA patients naïve for biological therapy, 18 PsA patients and 20 matched healthy donors (HD) were tested for DKK1 by ELISA, Wnt 5a and β-catenin by Immunoblotting. …”
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Identification and Analysis of Key Immune- and Inflammation-Related Genes in Idiopathic Pulmonary Fibrosis by Tan Y, Qian B, Ma Q, Xiang K, Wang S

“…Six distinct immune cells, including naive CD4 T cells, T cells CD4 memory resting, T cells regulatory (Tregs), Monocytes, Macrophages M2, Neutrophils were identified. …”
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Immune-metabolic shifts in acute liver failure caused by HEV infection during pregnancy and their association with obstetric outcomes by Anoushka Saxena, Minal, Prabhjyoti Pahwa, Jaswinder Singh Maras, Hamda Siddiqui, Jayesh Kumar Sevak, Yedla Manikya Mala, Shakun Tyagi, Shiv K. Sarin, Nirupama Trehanpati

“…ALF-E showed increased naive T/B cells, decreased CD4, CD8 Tcm, Tem, and plasmablasts, compared to AVH-E contributing to higher failed inductions, preterm births, maternal complications like eclampsia, disseminated intravascular coagulation, preterm premature rupture of membranes, small-for-gestational-age infants, higher rates of intrauterine death, abortion, and mortality. …”
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Heightened expression of type I interferon signaling genes in CD4+ T cells from acutely HIV-1–infected women is associated with lower viral loads by Elina El-Badry, Luxiao Chen, Khader Ghneim, Ziyi Li, Kelsie Brooks, Jake Rhodes, Rafick Sekaly, William Kilembe, Susan Allen, Susan Allen, Susan Allen, Hao Wu, Eric Hunter, Eric Hunter

“…In a univariate analysis, we have identified a number of differentially expressed genes in naïve, central memory, and effector memory CD4 T cells of women with consistent elevated expression of genes linked to type 1 interferon (IFN) signaling. …”
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Single-cell profiling transcriptomic reveals cellular heterogeneity and cellular crosstalk in breast cancer lymphatic node, bone, and brain metastases by Longyu Zhu, Miaomiao Liu, Yuguang Shang, Jingge Cheng, Hongye Zhao, Jun Zhang, Dongxing Shen

“…We identified five T cells (T memory, CD8 + T cells, regulatory T cells, natural killer cells, CD4 + T cells), three B cells (naïve B cells, memory B cells, plasma B cells), and five cancer-associated fibroblasts (CAFs) subpopulations (Smooth muscle cells (SMC), pericyte, antigen-presenting CAFs (apCAFs), proliferative CAFs (pCAFs), and matrix CAFs (mCAFs)). …”
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Developing a risk score using liquid biopsy biomarkers for selecting Immunotherapy responders and stratifying disease progression risk in metastatic melanoma patients by Amalia Azzariti, Simona De Summa, Tommaso M. Marvulli, Ivana De Risi, Giuseppe De Palma, Roberta Di Fonte, Rossella Fasano, Simona Serratì, Sabino Strippoli, Letizia Porcelli, Michele Guida

“…Pilot validations highlighted the potential use of the risk score in treatment-naive individuals and long responders. Conclusion In summary, risk score based on circulating sCTLA-4 and sCD74 reflects the response to immune checkpoint inhibitor (ICI) therapy in MM patients. …”
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Predicting Treatment Outcomes in Patients with Low Back Pain Using Gene Signature-Based Machine Learning Models by Youzhi Lian, Yinyu Shi, Haibin Shang, Hongsheng Zhan

“…These key genes were then used to train 45 machine learning models by combining nine different algorithms: Logistic Regression, K-Nearest Neighbors, Support Vector Machine, Decision Tree, Random Forest, Gradient Boosting Machine, Multilayer Perceptron, Naive Bayes, and Linear Discriminant Analysis. Five-fold cross-validation was employed to ensure robust model evaluation and minimize overfitting. …”
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A multicenter, cross‐sectional analysis to assess the safety and usage pattern of brivaracetam in the management of partial‐onset seizure with BAEs—BREEZE study: A post‐hoc analysi... by Arvind Sharma, Krishnaprasad Korukonda, Amit Haldar, Usha Kant Misra, R. V. Anand, Yakshdeep Dave, Girish Kulkarni

“…Significance BRV remains a pertinent therapeutic choice for FoS for the treatment naïve and/or BAE cases. Exposure of LEV leads to considerable BAEs compared to patients without LEV exposure. …”
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Machine learning-based analyses of contributing factors for the development of hypertension: a comparative study by Marenao Tanaka, Yukinori Akiyama, Kazuma Mori, Itaru Hosaka, Keisuke Endo, Toshifumi Ogawa, Tatsuya Sato, Toru Suzuki, Toshiyuki Yano, Hirofumi Ohnishi, Nagisa Hanawa, Masato Furuhashi

“…The predictive abilities of 58 candidates including fatty liver index (FLI), which is calculated by using body mass index, waist circumference and levels of γ-glutamyl transferase and triglycerides, were investigated by statistics analogous to the area under the curve (AUC) in receiver operating characteristic curve analyses using ML models including logistic regression, random forest, naïve Bayes, extreme gradient boosting and artificial neural network.Results During a 10-year period (mean period: 6.1 years), 2,132 subjects (19.1%) in the training group and 917 subjects (19.1%) in the test group had new onset of hypertension. …”
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Cancer-specific innate and adaptive immune rewiring drives resistance to PD-1 blockade in classic Hodgkin lymphoma by Julia Paczkowska, Ming Tang, Kyle T. Wright, Li Song, Kelsey Luu, Vignesh Shanmugam, Emma L. Welsh, Jason L. Weirather, Naomi Besson, Harrison Olszewski, Billie A. Porter, Kathleen L. Pfaff, Robert A. Redd, Fathima Zumla Cader, Elisa Mandato, Jing Ouyang, Eleonora Calabretta, Gali Bai, Lee N. Lawton, Philippe Armand, Scott J. Rodig, Xiaole Shirley Liu, Margaret A. Shipp

“…Compared with non-responders, responding patients have more circulating CD4+ naïve and central memory T cells and B cells, as well as more diverse CD4+ T cell and B cell receptor repertoires. …”
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Comparison between traditional logistic regression and machine learning for predicting mortality in adult sepsis patients by Hongsheng Wu, Biling Liao, Tengfei Ji, Keqiang Ma, Yumei Luo, Shengmin Zhang

“…Among various machine learning models, which included Bagged Tree, Boost Tree, Decision Tree, LightGBM, Naïve Bayes, Nearest Neighbors, Support Vector Machine (SVM), and Random Forest (RF), the one with the maximum area under the curve (AUC) was chosen for model construction. …”
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First-in-human phase 1 study of the arginase inhibitor INCB001158 alone or combined with pembrolizumab in patients with advanced or metastatic solid tumours by Michael Smith, Aung Naing, Todd Bauer, Kyriakos P Papadopoulos, Osama Rahma, Elena Garralda, Glenn J Hanna, Michael J Pishvaian, Xuejun Chen, Sven Gogov, Omar Saavedra, Howard Kallender, LuLu Cheng, Emil Kuriakose

“…The highest response rate was seen in the anti–PD-1/PD-L1–naive combination therapy group with head/neck squamous cell carcinoma (overall response rate, 19.2%; 4/26 partial responses, 1/26 complete response). …”
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Predicting conversion to psychosis using machine learning: response to Cannon by Jason Smucny, Tyrone D. Cannon, Tyrone D. Cannon, Carrie E. Bearden, Carrie E. Bearden, Jean Addington, Kristen S. Cadenhead, Barbara A. Cornblatt, Matcheri Keshavan, Daniel H. Mathalon, Diana O. Perkins, William Stone, Elaine F. Walker, Scott W. Woods, Scott W. Woods, Ian Davidson, Cameron S. Carter

“…All models performed above chance, with Naive Bayes and random forest methods showing the best overall performance. …”
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Lenvatinib and tislelizumab versus atezolizumab and bevacizumab in combination with TAE-HAIC for unresectable hepatocellular carcinoma with high tumor burden: a multicenter retrosp... by Hongjie Cai, Song Chen, Shuangyan Tang, Yi Xiao, Feng Shi, Zhiqiang Wu, Ping Ma, Huanwei Chen, Wenquan Zhuang, Wenbo Guo

“…Methods This multicenter retrospective cohort study enrolled treatment-naive patients with unresectable HCC treated with TAE-HAIC plus lenvatinib and tislelizumab (THLP group) or TAE-HAIC plus atezolizumab and bevacizumab (THTA group). …”
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Predictors of failure of DISE-directed adenotonsillectomy in children with sleep disordered breathing by Noura Alsufyani, Andre Isaac, Manisha Witmans, Paul Major, Hamdy El-Hakim

“…Further research is needed into the role of DISE in surgically naïve patients with SDB, and to compare DISE-directed surgery with the current standard of care.…”
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CX3CR1+ age-associated CD4+ T cells contribute to synovial inflammation in late-onset rheumatoid arthritis by Mitsuhiro Akiyama, Sohma Wakasugi, Keiko Yoshimoto, Koichi Saito, Sho Ishigaki, Risa Inukai, Yoshiyuki Matsuno, Waleed Alshehri, Yasushi Kondo, Yuko Kaneko

“…Methods Fresh peripheral blood samples were collected from 78 treatment-naïve active RA patients, 12 with difficult-to-treat RA, and 16 healthy controls. …”
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