{"title":"The Protective Mechanism of ApoE3 R136S in Alzheimer's Disease: A New Hope for Neurodegeneration.","authors":"Rongcan Luo, Kun Guo","doi":"10.1007/s43657-025-00253-6","DOIUrl":"https://doi.org/10.1007/s43657-025-00253-6","url":null,"abstract":"","PeriodicalId":74435,"journal":{"name":"Phenomics (Cham, Switzerland)","volume":"5 4","pages":"466-467"},"PeriodicalIF":6.2,"publicationDate":"2025-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12457264/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145152253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jingyi Wu, Yaqi Huang, Shuishan Zhang, Meng Hao, Hui Zhang, Xiangnan Li, Zixin Hu, Jingdong Tang, Li Han, Li Jin, Shuai Jiang, Yi Li
{"title":"Association Between Healthy Lifestyles and Adverse Health Outcomes, and the Mediating Role of Inflammation.","authors":"Jingyi Wu, Yaqi Huang, Shuishan Zhang, Meng Hao, Hui Zhang, Xiangnan Li, Zixin Hu, Jingdong Tang, Li Han, Li Jin, Shuai Jiang, Yi Li","doi":"10.1007/s43657-025-00265-2","DOIUrl":"https://doi.org/10.1007/s43657-025-00265-2","url":null,"abstract":"","PeriodicalId":74435,"journal":{"name":"Phenomics (Cham, Switzerland)","volume":"5 4","pages":"461-465"},"PeriodicalIF":6.2,"publicationDate":"2025-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12457237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145152303","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SIMPLE: A One-Pot RPA-Cas12b Method for Single Nucleotide Variations Identification with an Expanded Scope and Clinical Applications.","authors":"Kaiming Guo, Yongkang Lai, Yiru Han, Linlin Bai, Ting Wang, Shengzhou Wang, Ziqin Zhang, Dianwei Liu, Yanju Chen, Jiulong Zhao, Yanan Pang, Feng Qian, Yanni Mo, Yongming Wang, Rui Wang","doi":"10.1007/s43657-025-00240-x","DOIUrl":"https://doi.org/10.1007/s43657-025-00240-x","url":null,"abstract":"<p><p>Rapid and reliable nucleic acid detection methods are essential in clinical diagnostics and biotechnology. The clustered regularly interspaced short palindromic repeats (CRISPR) system is emerging as a next-generation nucleic acid detection technology, offering versatility, convenience and rapid detection. However, CRISPR methods are significantly limited by the protospacer adjacent motif (PAM) sequence, and achieving a one-pot reaction for detecting single nucleotide variations (SNVs) within a short time still remains challenging. Here, we developed a comprehensive method for screening PAM sequences, which significantly expands the CRISPR detection scope. Additionally, we also proposed a one-pot CRISPR method, termed \"SIMPLE\", capable of identifying SNVs within 30 min. We applied the SIMPLE method to the clinical diagnostics of drug-resistant bacteria and the screening of cancer hotspot mutations. The SIMPLE method successfully detected drug-resistant bacteria mediated by canonical PAM TTN sequence with a sensitivity of 10 copies per reaction and achieved 100% consistency with next-generation sequencing results. Furthermore, the SIMPLE method proved effective in detecting hotspot mutations in cancer, even at a low mutation rate of 1% in the presence of high background interference mediated by non-canonical PAM ATN sequence. Therefore, the SIMPLE method not only expands the CRISPR detection scope but also offers a one-pot reaction with high specificity for SNVs identification, making it a promising tool for next-generation molecular diagnostics.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s43657-025-00240-x.</p>","PeriodicalId":74435,"journal":{"name":"Phenomics (Cham, Switzerland)","volume":"5 4","pages":"418-434"},"PeriodicalIF":6.2,"publicationDate":"2025-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12457261/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145152240","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yanbing Li, Yayuan Mei, Jiaxin Zhao, Quan Zhou, Kai Li, Ming Yang, Liu Liu, Huicai Guo, Qun Xu, Ang Li
{"title":"Cohort Profile: Precision Environmental Health Cohort of Healthy Undergraduates.","authors":"Yanbing Li, Yayuan Mei, Jiaxin Zhao, Quan Zhou, Kai Li, Ming Yang, Liu Liu, Huicai Guo, Qun Xu, Ang Li","doi":"10.1007/s43657-024-00215-4","DOIUrl":"10.1007/s43657-024-00215-4","url":null,"abstract":"","PeriodicalId":74435,"journal":{"name":"Phenomics (Cham, Switzerland)","volume":"5 3","pages":"301-310"},"PeriodicalIF":6.2,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12391570/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Metabolomics for the Identification of Biomarkers in Rheumatoid Arthritis.","authors":"Swarnima Pandey","doi":"10.1007/s43657-025-00242-9","DOIUrl":"10.1007/s43657-025-00242-9","url":null,"abstract":"","PeriodicalId":74435,"journal":{"name":"Phenomics (Cham, Switzerland)","volume":"5 3","pages":"343-345"},"PeriodicalIF":6.2,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12390890/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144981737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Meiling Chu, Yan Zhang, Jie Chen, Hui Cong, Yulian Yin, Hongfeng Chen
{"title":"Breast Cancer Bone Metastasis: Novel Prognostic Biomarkers Identified.","authors":"Meiling Chu, Yan Zhang, Jie Chen, Hui Cong, Yulian Yin, Hongfeng Chen","doi":"10.1007/s43657-025-00221-0","DOIUrl":"https://doi.org/10.1007/s43657-025-00221-0","url":null,"abstract":"<p><p>The impact of lipid metabolism on the development and prognosis of bone metastasis from breast cancer (BRCA) is currently unknown. Sequencing data of BRCA samples in this study were obtained from the University of California, Santa Cruz (UCSC) Xena database. The differentially expressed genes (DEGs1) between the BRCA group and the control group, the differentially expressed genes (DEGs2) between the bone metastasis group and the non-bone metastasis group, and the lipid metabolism score-related genes (LMSRGs) were intersected to obtain LMSRGs (DE-LMSRGs). Biomarkers were obtained using univariate logistic regression analysis, support vector machine recursive feature elimination (SVM-RFE) and multivariate logistic regression analysis for Correlation Analysis, Gene Set Enrichment Analysis, Immunohistochemistry, Co-creation of Networks, and Drug Prediction, and then analyses were performed using Immunohistochemistry, Western blot analyses to validate the samples. We identified two biomarkers (<i>Regulator of G-protein Signaling 9 Binding Protein</i> (<i>RGS9BP</i>) and <i>suppressor of cytokine signaling 3</i> (<i>SOCS3</i>)). There were nine immune cells that were markedly differential between bone metastasis and non-bone metastasis groups, such as activated dendritic cell, neutrophil, plasmacytoid dendritic cell, etc. Then, the lncRNA-miRNA-mRNA network was created, including the regulated relationship pairs <i>HLX-AS1-hsa-mir-541-SOCS3</i>, <i>ZNF337-AS1-hsa-mir-541-SOCS3</i>. Molecular docking analyses have demonstrated that the complexes formed by <i>SOCS3</i> alongside folic acid, estradiol, and S-Adenosylmethionine exhibit heightened stability. Similarly, the pairing of <i>RGS9BP</i> with benzopyrene showcases a notable degree of stability. Finally, the biomarkers were associated with angiogenesis scores and most angiogenesis related genes (ARGs). Our study identified two potential biomarkers (<i>RGS9BP</i> and <i>SOCS3</i>) for prognostic evaluation of bone metastasis patients with BRCA. These findings provided a scientific reference for further research on bone metastasis in BRCA patients.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s43657-025-00221-0.</p>","PeriodicalId":74435,"journal":{"name":"Phenomics (Cham, Switzerland)","volume":"5 4","pages":"404-417"},"PeriodicalIF":6.2,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12457254/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145152235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}