Stand characteristics of three forests in DBR.

<p>Stand characteristics of three forests in DBR.</p

Soil total P and AP concentrations among three forest types at different succession stages in DBR.

<p>Error bars indicate one standard deviation. Different letters indicate significant differences at the confidence level of <i>P</i><0.05 in the same soil layer among the three forests. (OneWay ANOVA, <i>P</i><0.05).</p

The correlation between soil total P (a), total N (b), SOC (c) and AP concentrations in 0–20 cm soil of three forests in DBR.

<p>(a): AP = 0.0062 P+0.536, <i>R²</i> = 0.096, <i>P</i> = 0.920; (b) AP = 0.003784 N-0.0003, <i>R²</i> = 0.699, <i>P</i><0.0001; (c): AP = 0.0001 SOC-0.0016, <i>R²</i> = 0.713, <i>P</i><0.0001.</p

The correlation between pot soil C (A), N (B) and AP concentrations.

<p>(A): AP = 0.00067 SOC-1.577, <i>R</i>² = 0.359, <i>P</i><0.0001; (B): AP = 0.006 N-2.443, <i>R</i>² = 0.578, <i>P</i><0.0001</p

The correlation between soil total N and SOC concentrations in 0–20 cm soil of three forests in DBR.

<p>N = 0.029 SOC-66.627, <i>R²</i> = 0.954, <i>P</i><0.0001.</p

Frequency histograms of soil N/P ratio in six subtropical forests in China.

<p>Frequency histograms of soil N/P ratio in six subtropical forests in China.</p

The properties of pot soil before N addition treatment.

<p>The properties of pot soil before N addition treatment.</p

Variation of pot soil total N (A), SOC (B) and AP (C) concentrations with the rate of N addition.

<p>Error bar represents one standard deviation. (A): <i>r</i>² = 0.307, <i>P</i> = 0.000; (B): <i>r</i>² = 0.029, <i>P</i> = 0.072; (C): <i>r</i>² = 0.222, <i>P</i> = 0.000.</p

SOC and total N concentrations among three forest types at different succession stages in DBR.

<p>Error bars indicate one standard deviation. Different letters indicate significant differences at the confidence level of <i>P</i><0.05 in the same soil layer among the three forests. (OneWay ANOVA, <i>P</i><0.05).</p

Glutathione-Responsive Organosilica Hybrid Nanosystems for Targeted Dual-Starvation Therapy in Luminal Breast Cancer

Starvation therapy is an innovative approach in cancer treatment aimed at depriving cancer cells of necessary resources by impeding tumor angiogenesis or blocking the energy supply. In addition to the commonly observed anaerobic glycolysis energy supply mode, adipocyte-rich tumor tissue triggers the fatty acid energy supply pathway, which fuels the proliferation and metastasis of cancer cells. To completely disrupt these dual-energy-supply pathways, we developed an exceptional nanoreactor. This nanoreactor consisted of yolk–shell mesoporous organosilica nanoparticles (YSMONs) loaded with a fatty acid transport inhibitor (Dox), conjugated with a luminal breast-cancer-specific targeting aptamer, and integrated with a glucose oxidation catalyst (GOx). Upon reaching cancer cells with the assistance of the aptamer, the nanoreactor underwent a structural collapse of the shell triggered by the high concentration of glutathione within cancer cells. This collapse led to the release of GOx and Dox, achieving targeted delivery and exhibiting significant efficacy in starving therapy. Additionally, the byproducts of glucose metabolism, gluconic acid and H2O2, enhanced the acidity and reactive oxygen species levels of the intracellular microenvironment, inducing oxidative damage to cancer cells. Simultaneously, released Dox acted as a potent broad-spectrum anticancer drug, inhibiting the activity of carnitine palmitoyltransferase 1A and exerting marked effects. Combining these effects ensures high anticancer efficiency, and the “dual-starvation” nanoreactor has the potential to establish a novel synergistic therapy paradigm with considerable clinical significance. Furthermore, this approach minimizes damage to normal organs, making it highly valuable in the field of cancer treatment