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Fulltext Artificial intelligence-aided detection for prostate cancer with multimodal routine health check-up data: an Asian multi-center study

Song Z, Zhang W, Jiang Q, Deng L, Du L, Mou W, et al.

Int J Surg, 2023 Dec 01;109(12):3848-3860.
PMID: 37988414 DOI: 10.1097/JS9.0000000000000862

BACKGROUND: The early detection of high-grade prostate cancer (HGPCa) is of great importance. However, the current detection strategies result in a high rate of negative biopsies and high medical costs. In this study, the authors aimed to establish an Asian Prostate Cancer Artificial intelligence (APCA) score with no extra cost other than routine health check-ups to predict the risk of HGPCa.
PATIENTS AND METHODS: A total of 7476 patients with routine health check-up data who underwent prostate biopsies from January 2008 to December 2021 in eight referral centres in Asia were screened. After data pre-processing and cleaning, 5037 patients and 117 features were analyzed. Seven AI-based algorithms were tested for feature selection and seven AI-based algorithms were tested for classification, with the best combination applied for model construction. The APAC score was established in the CH cohort and validated in a multi-centre cohort and in each validation cohort to evaluate its generalizability in different Asian regions. The performance of the models was evaluated using area under the receiver operating characteristic curve (ROC), calibration plot, and decision curve analyses.
RESULTS: Eighteen features were involved in the APCA score predicting HGPCa, with some of these markers not previously used in prostate cancer diagnosis. The area under the curve (AUC) was 0.76 (95% CI:0.74-0.78) in the multi-centre validation cohort and the increment of AUC (APCA vs. PSA) was 0.16 (95% CI:0.13-0.20). The calibration plots yielded a high degree of coherence and the decision curve analysis yielded a higher net clinical benefit. Applying the APCA score could reduce unnecessary biopsies by 20.2% and 38.4%, at the risk of missing 5.0% and 10.0% of HGPCa cases in the multi-centre validation cohort, respectively.
CONCLUSIONS: The APCA score based on routine health check-ups could reduce unnecessary prostate biopsies without additional examinations in Asian populations. Further prospective population-based studies are warranted to confirm these results.
Integrin A5B1-mediated endocytosis of polystyrene nanoplastics: Implications for human lung disease and therapeutic targets

Han M, Liang J, Wang K, Si Q, Zhu C, Zhao Y, et al.

Sci Total Environ, 2024 Sep 03;953:176017.
PMID: 39236815 DOI: 10.1016/j.scitotenv.2024.176017

The extensive use of plastic products has exacerbated micro/nanoplastic (MPs/NPs) pollution in the atmosphere, increasing the incidence of respiratory diseases and lung cancer. This study investigates the uptake and cytotoxicity mechanisms of polystyrene (PS) NPs in human lung epithelial cells. Transcriptional analysis revealed significant changes in cell adhesion pathways following PS-NPs exposure. Integrin α5β1-mediated endocytosis was identified as a key promoter of PS-NPs entry into lung epithelial cells. Overexpression of integrin α5β1 enhanced PS-NPs internalization, exacerbating mitochondrial Ca2+ dysfunction and depolarization, which induced reactive oxygen species (ROS) production. Mitochondrial dysfunction triggered by PS-NPs led to oxidative damage, inflammation, DNA damage, and necrosis, contributing to lung diseases. This study elucidates the molecular mechanism by which integrin α5β1 facilitates PS-NPs internalization and enhances its cytotoxicity, offering new insights into potential therapeutic targets for microplastic-induced lung diseases.
Fulltext Was Wuhan the early epicenter of the COVID-19 pandemic?-A critique

Cao Y, Chen L, Chen H, Cun Y, Dai X, Du H, et al.

Natl Sci Rev, 2023 Apr;10(4):nwac287.
PMID: 37089192 DOI: 10.1093/nsr/nwac287
Fulltext Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1

Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, Abdellatif M, Abdoli A, Abel S, et al.

Autophagy, 2021 Jan;17(1):1-382.
PMID: 33634751 DOI: 10.1080/15548627.2020.1797280

In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.