Application of targeted next-generation sequencing for pathogens diagnosis and drug resistance prediction in bronchoalveolar lavage fluid of pulmonary infections by Qiugui Xu, Qiumei Chen, Wen Qiu, Lili Liu, Wan Zeng, Jinling Chen, Yangyang Li, Zhen Guo, Ling Rong, Bigui Chen, Jinxiu Yao, Liye Yang

“…Pathogen detection consistency, the drug resistance genes concordance with phenotypic drug sensitivity, and clinical impact of tNGS-guided therapy adjustments were analyzed. …”
Get full text

ALM adjusted by BMI or weight predicts adverse health outcomes in middle-aged and elderly patients with type 2 diabetes by Bo Xie, Bin Liu, Xue Chen, Fengning Chuan, Kun Liao, Mei Mei, Rong Li, Bo Zhou

“…Cox proportional hazards models were used to estimate the risk associated with each indicator, and phenotypic characteristics of high-risk patients were evaluated. …”
Get full text

Comparison of robustness, resilience and intrinsic capacity including prediction of long-term adverse health outcomes: The KORA-Age study by Michaela Rippl, Marie-Theres Huemer, Lars Schwettmann, Eva Grill, Annette Peters, Michael Drey, Barbara Thorand

Get full text

Prognosis and immune landscape of bladder cancer can be predicted using a novel miRNA signature associated with cuproptosis by Zhilei Zhang, Fang Liu, Yongbo Yu, Fei Xie, Tao Zhu

“…Therefore, the current study aims to construct a miRNA signature related to cuproptosis for predicting the prognosis and facilitating personalized therapeutic strategies in bladder cancer patients. …”
Get full text

VSIG4 as a tumor-associated macrophage marker predicting adverse prognosis in diffuse large B-cell lymphoma by Dongshen Ma, Yubo Wang, Qingqing Shen, Qingqing Shen, Xinyu Liu, Xinyu Liu, Wenxin Lu, Shaoqi Li, Qianqian Yin, Lei Xia, Guangzhen Liu, Yuhong Chen, Chenxi Xiang, Hui Liu, Hui Liu

Get full text

Prediction of new-onset migraine using clinical-genotypic data from the HUNT Study: a machine learning analysis by Fahim Faisal, Antonios Danelakis, Marte-Helene Bjørk, Bendik Winsvold, Manjit Matharu, Parashkev Nachev, Knut Hagen, International Headache Genetics Consortium, Erling Tronvik, Anker Stubberud

“…Conclusion The combination of genotype and routine demographic and non-headache clinical data correctly predict the new onset of migraine in approximately 2 out of 3 cases, supporting that there are important genotypic-phenotypic interactions partaking in the new-onset of migraine.…”
Get full text

The nomogram model predicts relapse risk in myelin oligodendrocyte glycoprotein antibody-associated disease: a single-center study by Jiafei Cheng, Jiafei Cheng, Zhuoran Wang, Zhuoran Wang, Jing Wang, Xiaomin Pang, Jianli Wang, Meini Zhang, Junhong Guo, Huaxing Meng

“…A total of 4 independent risk factors for predicting relapse were identified: female sex (P=0.040), cortical encephalitis phenotype (P=0.032), serum MOG antibody titer ≥1:32 (P=0.007), and immunosuppressive therapy after the first onset (P= 0.045). …”
Get full text

Biomarkers of cellular senescence predict risk of mild cognitive impairment: Results from the lifestyle interventions for elders (LIFE) study by Michelle M. Mielke, Roger A. Fielding, Elizabeth J. Atkinson, Zaira Aversa, Marissa J. Schafer, Steven R. Cummings, Marco Pahor, Christiaan Leeuwenburgh, Nathan K. LeBrasseur

Get full text

Prognostic value of HLA class I expression in patients with cutaneous melanoma and soft tissue sarcomas treated with cancer-testis antigens-based vaccine by Tatiana L. Nekhaeva, Aleksei V. Novik, Dmitry V. Girdyuk, Anna B. Danilova, Polina A. Savchenko, Alina V. Grigoryevskaya, Maria A. Nekrasova, Natalia A. Efremova, Andrey V. Orekhov, Irina A. Baldueva

“…Aim: To assess the predictive and prognostic role of HLA class I expression in patients with melanoma (Mel), and soft tissue sarcomas (STS) treated with autologous dendritic cell vaccine (DCV) (CaTeVac). …”
Get full text

Blood parameters predicted from milk spectra are candidate indicator traits of hyperketonemia—A retrospective study in the Italian Holstein population by S. Magro, M. De Marchi, M. Cassandro, R. Finocchiaro, A. Fabris, M. Marusi, A. Costa

“…In fact, MIR-predicted blood parameters are useful for population screening and may be used for selective breeding if they are heritable and genetically variable within a population. …”
Get full text

Performance Comparison of Genomic Best Linear Unbiased Prediction and Four Machine Learning Models for Estimating Genomic Breeding Values in Working Dogs by Joseph A. Thorsrud, Katy M. Evans, Kyle C. Quigley, Krishnamoorthy Srikanth, Heather J. Huson

“…Additionally, the similar performance of all models indicates that simpler models like GBLUP, which requires less fine tuning, may be sufficient for genomic prediction in canine breeding programs. The research highlights the importance of standardized phenotypic assessments and carefully constructed reference populations to optimize the utility of genomic selection in canine breeding programs.…”
Get full text

TERT promoter methylation predicts overall survival, immune cell infiltration and response to immunotherapy in clear cell renal cell carcinoma by Xinyu Guan, Jiahao Meng, Wenjun Yi, Kun Ye, Hongyu Gao, Yue Hong, Limeng Qu, Shirong Ding, Qian Long

“…TERT promoter hypermethylation was significantly correlated with aggressive phenotypes and poor survival in clear cell renal cell carcinoma patients. …”
Get full text

Assessing microvascular dysfunction and predicting long-term prognosis in patients with cardiac amyloidosis by cardiovascular magnetic resonance quantitative stress perfusion by Leting Tang, Wenjin Zhao, Kang Li, Lin Tian, Xiaoyue Zhou, Hu Guo, Mu Zeng

“…In multivariable analysis, ECV, MPR, and LGE were independently predictive. MPR of >1.5 and ECV of ≤53.6% were associated with improved overall survival, both of which provided predictive incremental value in patients with advanced disease. …”
Get full text

Value of Epicardial Adipose Tissue Thickness in Predicting Major Adverse Cardiovascular Events in Patients with Coronary Artery Disease and Metabolic Syndrome by Andrey R. Kim, Rano B. Alieva, Aleksandr B. Shek, Shokhistakhon S. Akhmedova, Liliya E. Kan

“…The results showed the substantial predictive value of EAT thickness and age, followed by Lp(a) and BMI, in assessing the 2-year risk of MACE in patients with CAD and MetS. …”
Get full text

Metabolically activated and highly polyfunctional intratumoral VISTA+ regulatory B cells are associated with tumor recurrence in early-stage NSCLC by Domenico Lo Tartaro, Beatrice Aramini, Valentina Masciale, Nikolaos Paschalidis, Francesco Demetrio Lofaro, Anita Neroni, Rebecca Borella, Elena Santacroce, Alin Liviu Ciobanu, Anna Valeria Samarelli, Federica Boraldi, Daniela Quaglino, Alessandra Dubini, Michele Gaudio, Gloria Manzotti, Francesca Reggiani, Federica Torricelli, Alessia Ciarrocchi, Antonino Neri, Federica Bertolini, Massimo Dominici, Pier Luigi Filosso, Franco Stella, Lara Gibellini, Sara De Biasi, Andrea Cossarizza

“…However, although there is clear evidence for their involvement in cancer immunity, scanty data exist on the characterization of B cell phenotypes, bioenergetic profiles and possible interactions with T cells in the context of NSCLC. …”
Get full text

A structure-based in silico analysis of the Kell blood group system by Gabriele Mayr, Maike Bublitz, Tim A. Steiert, Britt-Sabina Löscher, Michael Wittig, Hesham ElAbd, Christoph Gassner, Christoph Gassner, Andre Franke

“…Our analysis workflow and results aid blood group serologists in predicting whether a newly identified Kell genetic variant may result in a specific phenotype.…”
Get full text

Comprehensive quality assessment of 296 sweetpotato core germplasm in China: A quantitative and qualitative analysis by Chaochen Tang, Yi Xu, Rong Zhang, Xueying Mo, Bingzhi Jiang, Zhangying Wang

“…This study evaluated 296 core germplasms, revealing significant phenotypic diversity across 24 quality traits in both stem tips and roots. …”
Get full text

A Survey of SNP Data Analysis by Xiaojun Ding, Xuan Guo

“…In this paper, we divide the methods for genome-wide SNP data analysis into two categories: single-trait Genome-Wide Association Studies (GWAS) in which pathology is mined from data of a single phenotype, and multiple-trait GWAS which identifies cross-phenotype associations. …”
Get full text

Causal relationship between immune cells and osteoporosis based on genetic prediction: a bidirectional two-sample mediated Mendelian randomization analysis by Hao Wang, Zehao Yu, Bo Chen, Shenghao Xu, Yichuan Zhou, Xiongfeng Tang, Yanguo Qin

“…This Mendelian randomization (MR) study further evaluated the causal relationship between 731 immune cell phenotypes and osteoporosis, exploring the mediating role of serum metabolites based on genetic prediction. …”
Get full text

CD66b+ neutrophils and α‐SMA+ fibroblasts predict clinical outcomes and benefits from postoperative chemotherapy in gastric adenocarcinoma by Xiliang Cong, Yongle Zhang, Ziyu Zhu, Sen Li, Xin Yin, Zhao Zhai, Yu Zhang, Yingwei Xue

Get full text