Peptide-drug conjugates (PDCs) have emerged as a promising modality in precision oncology, enabling targeted delivery of cytotoxic payloads while minimizing off-target toxicity. The integration of covalent warheads, such as those based on sulfur(VI) fluoride exchange (SuFEx) chemistry, enhances drug-target residence time and tumor accumulation. However, existing screening methods for covalent peptide (CP) libraries require post-translational warhead conjugation, limiting throughput. Here, we present an integrated mRNA display platform that incorporates covalent warheads during ribosomal synthesis, enabling efficient screening of ultra-diverse covalent macrocyclic peptide libraries (>10¹³ variants). This approach, using site-specific incorporation of N-chloroacetyl-d-phenylalanine and fluorosulfate-l-tyrosine, accelerated the discovery of irreversibly binding (K _i = 3.58 μmol/L) Nectin-4-targeting peptide CP-N1-N₃ via proximity-triggered SuFEx. The peptide was further conjugated to cytotoxic payloads, yielding the covalent PDC CP-N1-MMAE with potent cytotoxicity (IC₅₀ ≈ 43 nmol/L) against MDA-MB-468 cells. This platform establishes a new paradigm for precision covalent drug discovery.

The thalamic reticular nucleus (TRN) plays a crucial role in regulating sensory encoding, even at the earliest stages of visual processing, as evidenced by numerous studies. Orientation selectivity, a vital neural response, is essential for detecting objects through edge perception. Here, we demonstrate that somatostatin (SOM)-expressing and parvalbumin (PV)-expressing neurons in the TRN project to the dorsal lateral geniculate nucleus and modulate orientation selectivity and the capacity for visual information processing in the primary visual cortex (V1). These findings show that SOM-positive and PV-positive neurons in the TRN are powerful modulators of visual information encoding in V1, revealing a novel role for this thalamic nucleus in influencing visual processing.
Animals ; Somatostatin/metabolism* ; Parvalbumins/metabolism* ; Neurons/physiology* ; Thalamic Nuclei/physiology* ; Visual Pathways/physiology* ; Mice ; Mice, Inbred C57BL ; Visual Perception/physiology* ; Male ; Mice, Transgenic ; Visual Cortex/physiology* ; Primary Visual Cortex/cytology*

Objective To conduct a scoping review of studies on online health information-seeking behavior interventions for older adults to determine the specific content,outcome indicators and effects of online health information-seeking behavior interventions for older adults,and to provide references for future research and practice.Methods Computer search was conducted to retrieve studies related to health information-seeking behavior intervention for older adults based on digital technology from PubMed,Embase,Web of Science,Cochrane Library,CNKI,Wanfang Database,and China Biomedical Literature Database.The search period was from the construction of the database to 18 January 2024.The included literature was screened and summarized by 2 researchers.Results 19 papers were included.Pre-intervention preparation for an online health information-seeking behavior intervention for older adults included participant recruitment,baseline surveys,and material preparation.Intervention content elements included training in basic computer and Internet knowledge and skills,knowledge and use of online health resources,evaluation of online health information quality,and application of online health information.The intervention sites were mainly places where older people live and work.Intervention time and frequency were 1-3 hours for one-time intervention training,1-2 times/week for 4-6 weeks for short-term intervention in ongoing intervention support,1-3 times/month for 3-4 months for long-term intervention.The outcome indicators are mainly related to computer knowledge and skills indicators,health attitudes indicators,online health information seeking behaviour indicators,and health behaviour indicators.Conclusion Online health information-seeking behaviour interventions for the elderly are feasible and effective,and high-quality empirical studies can be conducted in the future to improve online health information-seeking behaviour of the elderly and promote health management by improving intervention preparation,integrating technological innovations,and promoting the development of personalized intervention programs.