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Abstract Nanothermometers enable the detection of temperature changes at the microscopic scale, which is crucial for elucidating biological mechanisms and guiding treatment strategies. However, temperature monitoring of micron-scale structures in vivo using luminescent nanothermometers remains challenging, primarily due to the severe scattering effect of biological tissue that compromises the imaging resolution. Herein, a lanthanide luminescence nanothermometer with a working wavelength beyond 1500 nm is developed to achieve high-resolution temperature imaging in vivo. The energy transfer between lanthanide ions (Er3+ and Yb3+) and H2O molecules, called the environment quenching assisted downshifting process, is utilized to establish temperature-sensitive emissions at 1550 and 980 nm. Using an optimized thin active shell doped with Yb3+ ions, the nanothermometer’s thermal sensitivity and the 1550 nm emission intensity are enhanced by modulating the environment quenching assisted downshifting process. Consequently, minimally invasive temperature imaging of the cerebrovascular system in mice with an imaging resolution of nearly 200 μm is achieved using the nanothermometer. This work points to a method for high-resolution temperature imaging of micron-level structures in vivo, potentially giving insights into research in temperature sensing, disease diagnosis, and treatment development.

Creating an enhanced-security-level label that carries entirely distinct information in different optical states has proven challenging. Here, the authors design geminate labels by programming fluorescent cholesteric liquid crystal microdroplets to encrypt fluorescent security information behind colorful reflective patterns.

Traditional ratiometric temperature monitoring is challenging due to the variation in tissue absorption and scattering of different wavelengths. Here, the authors show improved accuracy by using emission at the same wavelength, but different luminescent lifetimes decoded by a time-resolved technique.

Though luminescence imaging is a promising approach for contactless thermometry in vivo, the low thermal sensitivity of existing thermometers limits its potential. Here, the authors develop a high-sensitivity ratiometric nanothermometer based on triplet-sensitized upconversion.

The combination of chemo and photothermal therapy is widely used to treat cancer but control of chemo and thermal effects is needed for optimized treatment. Here, the authors describe an upconversion nanoparticle which can be used for controlled sequential treatment by controlling laser power.

In photothermal therapy for cancer treatment, hyperthermic effects can damage healthy tissues and inhibit therapeutic efficacy. Here, the authors use core-shell lanthanide-based nanoparticles to monitor microscopic temperatures and to ablate cancer tissue at low temperatures.

Abstract Aggressive pecking is an important welfare and production efficiency issue in poultry farming. The precise mechanisms underlying the occurrence of aggressive pecking remain poorly understood. In this study, we selected Sansui ducks that performed aggressive pecking and ducks that did not perform aggressive pecking from video recordings. Transcriptomic and metabolomic analyses of the whole brains of aggressive pecking ducks and normal ducks revealed 504 differentially expressed genes and 5 differentially altered metabolites (adenosine, guanidinopropionic acid, Met-Leu, Glu-Ile and 5,6,8-trihydroxy-2-methylbenzo[g]chromen-4-one). By jointly analysing the transcriptomics and metabolomics results, we discovered 8 candidate genes (ADCYAP1, GAL, EDN2, EDN1, MC5R, S1PR4, LOC113843450, and IAPP) and one candidate metabolite (adenosine) that regulates aggressive pecking behaviour in ducks. The candidate genes and metabolites may be involved in regulating aggressive pecking behaviour by inducing neurodegeneration and disrupting neural excitatory-inhibitory homeostasis, which in turn affects central nervous system function in aggressive pecking and normal ducks. Our findings provide a new reference for revealing the underlying mechanism of aggressive pecking behaviour in ducks.

Here, the authors demonstrate the application of machine learning to optimize the device fabrication process for wafer-scale 2D semiconductors, and eventually fabricate digital, analog, and optoelectrical circuits.

Abstract Whether red cell distribution width (RDW) can be a potential indicator for diabetic nephropathy (DN) is unknown. A total of 809 type 2 diabetes mellitus (T2D) patients were divided into 4 groups according to the quartiles (Q) of the RDW (%): Q1 ≤ 12.4 (n = 229), 12.4

Abstract The predictive effect of combining MEST with clinical data at biopsy on renal survival outcomes has not been investigated in patients with IgA nephropathy (IgAN). MEST of The Oxford classification of IgAN and 24-hour urine proteinuia measured at enrollment. The primary outcome was a composite of either ESRD (eGFR to 3 years, and were divided into two groups according to eGFR levels at biopsy. Multivariable logistical regression revealed that proteinuria at biopsy (OR 5.307 (95% Cl 3.003 to 9.376) p = 0.000), tubular atrophy/interstitial fibrosis scores (T) in MEST (OR 3.915 (95%Cl 2.710 to 5.654) p = 0.000) were the two predictors of eGFR decline for IgAN patients. Kaplan–Meier survival curves show significant difference in renal survival outcome among each T scores groups at biopsy (T0, T1, T2) (P