The Broad Spectrum HDAC Inhibitor PCI-24781 Induces Caspase- and ROS-Dependent Apoptosis and is Synergistic with Bortezomib in Lymphoma

We investigated the cytotoxicity and biology of the novel broad-spectrum hydroxamic acid-based histone deacetylase inhibitor (HDACi), PCI-24781. PCI-24781 was studied alone and combined with bortezomib in Hodgkin lymphoma (L428) and non-Hodgkin's lymphoma cell lines (Ramos, HF1, SUDHL4). PCI-24781 induced dose-dependent apoptosis that was associated with prominent G0/G1 arrest, decreased S-phase, increased p21 protein expression, and production of reactive oxygen species (ROS). Furthermore, PCI-24781-induced apoptosis was shown to be ROS- and caspase-dependent. Combined PCI-24781 and bortezomib exposure resulted in strong synergistic apoptosis in all cell lines (combination indices 0.19-0.6). Furthermore, compared to either agent alone, PCI-24781/bortezomib resulted in increased caspase cleavage, mitochondrial depolarization, and histone hyperacetylation. Microarray analyses showed that PCI-24781 alone significantly downregulated several antioxidant genes, proteasome components, and NF-kappaB pathway genes, effects which were enhanced further with bortezomib. RT-PCR confirmed downregulation of NF-kappaB targets NF-kappaB1 (p105), c-Myc, and IkappaB-kinase subunits, while gel-shift showed decreased NF-kappaB DNA-binding activity. Taken together, these results suggest that increased oxidative stress and NF-kappaB inhibition, leading to caspase activation and apoptosis, are likely responsible for the activity of PCI-24781 as well as the observed synergy with bortezomib. These data indicate that PCI-24781 has potential therapeutic value in lymphoma as a single-agent and combined with bortezomib

Global burden of 288 causes of death and life expectancy decomposition in 204 countries and territories and 811 subnational locations, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BACKGROUND Regular, detailed reporting on population health by underlying cause of death is fundamental for public health decision making. Cause-specific estimates of mortality and the subsequent effects on life expectancy worldwide are valuable metrics to gauge progress in reducing mortality rates. These estimates are particularly important following large-scale mortality spikes, such as the COVID-19 pandemic. When systematically analysed, mortality rates and life expectancy allow comparisons of the consequences of causes of death globally and over time, providing a nuanced understanding of the effect of these causes on global populations. METHODS The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2021 cause-of-death analysis estimated mortality and years of life lost (YLLs) from 288 causes of death by age-sex-location-year in 204 countries and territories and 811 subnational locations for each year from 1990 until 2021. The analysis used 56 604 data sources, including data from vital registration and verbal autopsy as well as surveys, censuses, surveillance systems, and cancer registries, among others. As with previous GBD rounds, cause-specific death rates for most causes were estimated using the Cause of Death Ensemble model-a modelling tool developed for GBD to assess the out-of-sample predictive validity of different statistical models and covariate permutations and combine those results to produce cause-specific mortality estimates-with alternative strategies adapted to model causes with insufficient data, substantial changes in reporting over the study period, or unusual epidemiology. YLLs were computed as the product of the number of deaths for each cause-age-sex-location-year and the standard life expectancy at each age. As part of the modelling process, uncertainty intervals (UIs) were generated using the 2·5th and 97·5th percentiles from a 1000-draw distribution for each metric. We decomposed life expectancy by cause of death, location, and year to show cause-specific effects on life expectancy from 1990 to 2021. We also used the coefficient of variation and the fraction of population affected by 90% of deaths to highlight concentrations of mortality. Findings are reported in counts and age-standardised rates. Methodological improvements for cause-of-death estimates in GBD 2021 include the expansion of under-5-years age group to include four new age groups, enhanced methods to account for stochastic variation of sparse data, and the inclusion of COVID-19 and other pandemic-related mortality-which includes excess mortality associated with the pandemic, excluding COVID-19, lower respiratory infections, measles, malaria, and pertussis. For this analysis, 199 new country-years of vital registration cause-of-death data, 5 country-years of surveillance data, 21 country-years of verbal autopsy data, and 94 country-years of other data types were added to those used in previous GBD rounds. FINDINGS The leading causes of age-standardised deaths globally were the same in 2019 as they were in 1990; in descending order, these were, ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and lower respiratory infections. In 2021, however, COVID-19 replaced stroke as the second-leading age-standardised cause of death, with 94·0 deaths (95% UI 89·2-100·0) per 100 000 population. The COVID-19 pandemic shifted the rankings of the leading five causes, lowering stroke to the third-leading and chronic obstructive pulmonary disease to the fourth-leading position. In 2021, the highest age-standardised death rates from COVID-19 occurred in sub-Saharan Africa (271·0 deaths [250·1-290·7] per 100 000 population) and Latin America and the Caribbean (195·4 deaths [182·1-211·4] per 100 000 population). The lowest age-standardised death rates from COVID-19 were in the high-income super-region (48·1 deaths [47·4-48·8] per 100 000 population) and southeast Asia, east Asia, and Oceania (23·2 deaths [16·3-37·2] per 100 000 population). Globally, life expectancy steadily improved between 1990 and 2019 for 18 of the 22 investigated causes. Decomposition of global and regional life expectancy showed the positive effect that reductions in deaths from enteric infections, lower respiratory infections, stroke, and neonatal deaths, among others have contributed to improved survival over the study period. However, a net reduction of 1·6 years occurred in global life expectancy between 2019 and 2021, primarily due to increased death rates from COVID-19 and other pandemic-related mortality. Life expectancy was highly variable between super-regions over the study period, with southeast Asia, east Asia, and Oceania gaining 8·3 years (6·7-9·9) overall, while having the smallest reduction in life expectancy due to COVID-19 (0·4 years). The largest reduction in life expectancy due to COVID-19 occurred in Latin America and the Caribbean (3·6 years). Additionally, 53 of the 288 causes of death were highly concentrated in locations with less than 50% of the global population as of 2021, and these causes of death became progressively more concentrated since 1990, when only 44 causes showed this pattern. The concentration phenomenon is discussed heuristically with respect to enteric and lower respiratory infections, malaria, HIV/AIDS, neonatal disorders, tuberculosis, and measles. INTERPRETATION Long-standing gains in life expectancy and reductions in many of the leading causes of death have been disrupted by the COVID-19 pandemic, the adverse effects of which were spread unevenly among populations. Despite the pandemic, there has been continued progress in combatting several notable causes of death, leading to improved global life expectancy over the study period. Each of the seven GBD super-regions showed an overall improvement from 1990 and 2021, obscuring the negative effect in the years of the pandemic. Additionally, our findings regarding regional variation in causes of death driving increases in life expectancy hold clear policy utility. Analyses of shifting mortality trends reveal that several causes, once widespread globally, are now increasingly concentrated geographically. These changes in mortality concentration, alongside further investigation of changing risks, interventions, and relevant policy, present an important opportunity to deepen our understanding of mortality-reduction strategies. Examining patterns in mortality concentration might reveal areas where successful public health interventions have been implemented. Translating these successes to locations where certain causes of death remain entrenched can inform policies that work to improve life expectancy for people everywhere. FUNDING Bill & Melinda Gates Foundation

Paradoxical regulation of hypoxia inducible factor-1α (HIF-1α) by histone deacetylase inhibitor in diffuse large B-cell lymphoma.

Hypoxia inducible factor (HIF) is important in cancer, as it regulates various oncogenic genes as well as genes involved in cell survival, proliferation, and migration. Elevated HIF-1 protein promotes a more aggressive tumor phenotype, and greater HIF-1 expression has been demonstrated to correlate with poorer prognosis, increased risk of metastasis and increased mortality. Recent reports suggest that HIF-1 activates autophagy, a lysosomal degradation pathway which may promote tumor cell survival. We show here that HIF-1α expression is constitutively active in multiple diffuse large B cell lymphoma (DLBCL) cell lines under normoxia and it is regulated by the PI3K/AKT pathway. PCI-24781, a pan histone deacetylase inhibitor (HDACI), enhanced accumulation of HIF-1α and induced autophagy initially, while extended incubation with the drug resulted in inhibition of HIF-1α. We tested the hypothesis that PCI-24781- induced autophagy is mediated by HIF-1α and that inhibition of HIF-1α in these cells results in attenuation of autophagy and decreased survival. We also provide evidence that autophagy serves as a survival pathway in DLBCL cells treated with PCI-24781 which suggests that the use of autophagy inhibitors such as chloroquine or 3-methyl adenine in combination with PCI-24781 may enhance apoptosis in lymphoma cells

3‑Methoxyazetidin-2-one Functionalized CuO–CB Microfibrils: A Drug Formulation with Controlled Release and Enhanced Synergistic Antibacterial Activities

trans-1-(4′-Methoxyphenyl)-3-methoxy-4-phenyl 3-methoxyazetidin-2-one (or 3-methoxyazetidin-2-one) is one of the important β-lactam derivatives with an ample range of bacterial activities yet few restrictions. To enhance the competency of the chosen 3-methoxyazetidin-2-one, microfibrils composed of copper oxide (CuO) and filter scraps of cigarette butts (CB) were chosen in the current work for developing a potential release formulation. The preparation of CuO-CB microfibrils required a simple reflux technique and a subsequent calcination treatment. The loading of 3-methoxyazetidin-2-one was processed via controlled magnetic stirring followed by centrifugation with microfibrils of CuO-CB. To confirm the loading efficiency, the 3-methoxyazetidin-2-one@CuO-CB complex was analyzed by scanning electron microscopy, transmission electron microscopy, and infrared spectroscopy. Compared to the CuO nanoparticles, the release profile of CuO-CB microfibrils indicates only 32% of the drug release in the first 1 h at pH 7.4. As a model organism, E. coli has been utilized for in vitro drug release dynamic studies. Based on the observed drug release data, it was found that the prepared formulation evades premature drug release and triggers the on-demand release of drug inside bacterial cells. The controlled drug release by 3-methoxyazetidin-2-one@CuO-CB microfibrils over a period of 12 h further ascertained the excellent bactericide delivery mechanism to combat deadly bacterial resistance. Indeed, this study provides a strategy to combat antimicrobial resistance and eradicate bacterial disease via nanotherapeutics

The novel organic arsenical darinaparsin induces MAPK-mediated and SHP1-dependent cell death in T-cell lymphoma and Hodgkin lymphoma cells and human xenograft models

PURPOSE: Darinaparsin (Zio-101) is a novel organic arsenical compound with encouraging clinical activity in relapsed/refractory T-cell lymphoma (TCL) and Hodgkin lymphoma (HL); however, little is known about its mechanism of action. EXPERIMENTAL DESIGN: TCL cell lines (Jurkat, Hut78, and HH) and HL cell lines (L428, L540, and L1236) were examined for in vitro cell death by MTT assay and Annexin V-based flow cytometry. Jurkat and L540-derived xenografts in SCID mice were examined for in vivo tumor inhibition and survival. Biologic effects of darinaparsin on the MAPK pathway were investigated using pharmacologic inhibitors, RNAi and transient transfection for overexpression for SHP1 and MEK. RESULTS: Darinaparsin treatment resulted in time- and dose-dependent cytotoxicity and apoptosis in all TCL and HL cell lines. In addition, darinaparsin had more rapid, higher, and sustained intracellular arsenic levels compared with arsenic trioxide via mass spectrometry. In vivo experiments with Jurkat (TCL) and L540 (HL)-derived lymphoma xenografts showed significant inhibition of tumor growth and improved survival in darinaparsin-treated SCID mice. Biologically, darinaparsin caused phosphorylation of ERK (and relevant downstream substrates) primarily by decreasing the inhibitory SHP1 phosphatase and coimmunoprecipitation showed significant ERK/SHP1 interaction. Furthermore, ERK shRNA knockdown or constitutive overexpression of SHP1 resulted in increased apoptosis, whereas cotreatment with pharmacologic MEK inhibitors resulted in synergistic cell death. Conversely, SHP1 blockade (via pharmacologic inhibition or RNAi) and MEK constitutive activation decreased darinaparsin-related cell death. CONCLUSIONS: Altogether, these data show that darinaparsin is highly active in HL and TCL and its activity is dependent primarily on MAPK mechanisms

PCI-24781-induced suppression in HIF-1α protein does not require proteasomal degradation.

<p>OCI-LY3 cells were incubated with indicated concentrations of PCI-24781 or MG132 alone or in combination for 24 hr followed by western blotting using specific antibodies to HIF-1α and HIF-1α-OH. </p