CancerProteome: a resource to functionally decipher the proteome landscape in cancer.

Advancements in mass spectrometry (MS)-based proteomics have greatly facilitated the large-scale quantification of proteins and microproteins, thereby revealing altered signalling pathways across many different cancer types. However, specialized and comprehensive resources are lacking for cancer proteomics. Here, we describe CancerProteome (http://bio-bigdata.hrbmu.edu.cn/CancerProteome), which functionally deciphers and visualizes the proteome landscape in cancer. We manually curated and re-analyzed publicly available MS-based quantification and post-translational modification (PTM) proteomes, including 7406 samples from 21 different cancer types, and also examined protein abundances and PTM levels in 31 120 proteins and 4111 microproteins. Six major analytical modules were developed with a view to describe protein contributions to carcinogenesis using proteome analysis, including conventional analyses of quantitative and the PTM proteome, functional enrichment, protein-protein associations by integrating known interactions with co-expression signatures, drug sensitivity and clinical relevance analyses. Moreover, protein abundances, which correlated with corresponding transcript or PTM levels, were evaluated. CancerProteome is convenient as it allows users to access specific proteins/microproteins of interest using quick searches or query options to generate multiple visualization results. In summary, CancerProteome is an important resource, which functionally deciphers the cancer proteome landscape and provides a novel insight for the identification of tumor protein markers in cancer.

SORC: an integrated spatial omics resource in cancer.

The interactions between tumor cells and the microenvironment play pivotal roles in the initiation, progression and metastasis of cancer. The advent of spatial transcriptomics data offers an opportunity to unravel the intricate dynamics of cellular states and cell-cell interactions in cancer. Herein, we have developed an integrated spatial omics resource in cancer (SORC, http://bio-bigdata.hrbmu.edu.cn/SORC), which interactively visualizes and analyzes the spatial transcriptomics data in cancer. We manually curated currently available spatial transcriptomics datasets for 17 types of cancer, comprising 722 899 spots across 269 slices. Furthermore, we matched reference single-cell RNA sequencing data in the majority of spatial transcriptomics datasets, involving 334 379 cells and 46 distinct cell types. SORC offers five major analytical modules that address the primary requirements of spatial transcriptomics analysis, including slice annotation, identification of spatially variable genes, co-occurrence of immune cells and tumor cells, functional analysis and cell-cell communications. All these spatial transcriptomics data and in-depth analyses have been integrated into easy-to-browse and explore pages, visualized through intuitive tables and various image formats. In summary, SORC serves as a valuable resource for providing an unprecedented spatially resolved cellular map of cancer and identifying specific genes and functional pathways to enhance our understanding of the tumor microenvironment.

ImmCluster: an ensemble resource for immunology cell type clustering and annotations in normal and cancerous tissues.

Single-cell transcriptome has enabled the transcriptional profiling of thousands of immune cells in complex tissues and cancers. However, subtle transcriptomic differences in immune cell subpopulations and the high dimensionality of transcriptomic data make the clustering and annotation of immune cells challenging. Herein, we introduce ImmCluster (http://bio-bigdata.hrbmu.edu.cn/ImmCluster) for immunology cell type clustering and annotation. We manually curated 346 well-known marker genes from 1163 studies. ImmCluster integrates over 420 000 immune cells from nine healthy tissues and over 648 000 cells from different tumour samples of 17 cancer types to generate stable marker-gene sets and develop context-specific immunology references. In addition, ImmCluster provides cell clustering using seven reference-based and four marker gene-based computational methods, and the ensemble method was developed to provide consistent cell clustering than individual methods. Five major analytic modules were provided for interactively exploring the annotations of immune cells, including clustering and annotating immune cell clusters, gene expression of markers, functional assignment in cancer hallmarks, cell states and immune pathways, cell-cell communications and the corresponding ligand-receptor interactions, as well as online tools. ImmCluster generates diverse plots and tables, enabling users to identify significant associations in immune cell clusters simultaneously. ImmCluster is a valuable resource for analysing cellular heterogeneity in cancer microenvironments.

IEAtlas: an atlas of HLA-presented immune epitopes derived from non-coding regions.

Cancer-related epitopes can engage the immune system against tumor cells, thus exploring epitopes derived from non-coding regions is emerging as a fascinating field in cancer immunotherapies. Here, we described a database, IEAtlas (http://bio-bigdata.hrbmu.edu.cn/IEAtlas), which aims to provide and visualize the comprehensive atlas of human leukocyte antigen (HLA)-presented immunogenic epitopes derived from non-coding regions. IEAtlas reanalyzed publicly available mass spectrometry-based HLA immunopeptidome datasets against our integrated benchmarked non-canonical open reading frame information. The current IEAtlas identified 245 870 non-canonical epitopes binding to HLA-I/II allotypes across 15 cancer types and 30 non-cancerous tissues, greatly expanding the cancer immunopeptidome. IEAtlas further evaluates the immunogenicity via several commonly used immunogenic features, including HLA binding affinity, stability and T-cell receptor recognition. In addition, IEAtlas provides the biochemical properties of epitopes as well as the clinical relevance of corresponding genes across major cancer types and normal tissues. Several flexible tools were also developed to aid retrieval and to analyze the epitopes derived from non-coding regions. Overall, IEAtlas will serve as a valuable resource for investigating the immunogenic capacity of non-canonical epitopes and the potential as therapeutic cancer vaccines.

PRES: a webserver for decoding the functional perturbations of RNA editing sites.

Rapid progresses in RNA-Seq and computational methods have assisted in quantifying A-to-I RNA editing and altered RNA editing sites have been widely observed in various diseases. Nevertheless, functional characterization of the altered RNA editing sites still remains a challenge. Here, we developed perturbations of RNA editing sites (PRES; http://bio-bigdata.hrbmu.edu.cn/PRES/) as the webserver for decoding functional perturbations of RNA editing sites based on editome profiling. After uploading an editome profile among samples of different groups, PRES will first annotate the editing sites to various genomic elements and detect differential editing sites under the user-selected method and thresholds. Next, the downstream functional perturbations of differential editing sites will be characterized from gain or loss miRNA/RNA binding protein regulation, RNA and protein structure changes, and the perturbed biological pathways. A prioritization module was developed to rank genes based on their functional consequences of RNA editing events. PRES provides user-friendly functionalities, ultra-efficient calculation, intuitive table and figure visualization interface to display the annotated RNA editing events, filtering options and elaborate application notebooks. We anticipate PRES will provide an opportunity for better understanding the regulatory mechanisms of RNA editing in human complex diseases.

Magnetic Resonance Imaging-Based Classification Systems for Informing Better Outcomes of Adenomyosis After Ultrasound-Guided High-Intensity Focused Ultrasound Ablating Surgery.

BACKGROUND: A referenced MRI-based classification associated with focused ultrasound ablation surgery (FUAS) outcomes is lacking in adenomyosis. PURPOSE: To identify an MRI-based classification system for informing the FUAS outcomes. STUDY TYPE: Retrospective. POPULATION: Patients with FUAS for adenomyosis, were divided into a training set (N = 643; 355 with post-FUAS gonadotropin-releasing hormone/levonorgestrel, 288 without post-FUAS therapy) and an external validation set (N = 135; all without post-FUAS therapy). FIELD STRENGTH/SEQUENCE: 1.5 T, turbo spin-echo T2-weighted imaging and single-shot echo-planar diffusion-weighted imaging sequences. ASSESSMENT: Five MRI-based adenomyosis classifications: classification 1 (C1) (diffuse, focal, and mild), C2 (intrinsic, extrinsic, intramural, and indeterminate), C3 (internal, adenomyomas, and external), C4 (six subtypes on areas [internal or external] and volumes [<1/3 or ≥2/3]), and C5 (internal [asymmetric or symmetric], external, intramural, full thickness [asymmetric or symmetric]) for FUAS outcomes (symptom relief and recurrence). STATISTICAL TESTS: The optimal classification was significantly associated with the most subtypes of FUAS outcomes. Relating to the timing of recurrence was measured using Cox regression analysis and median recurrence time was estimated by a Kaplan-Meier curve. A P value <0.05 was considered statistically significant. RESULTS: Dysmenorrhea relief and recurrence were only associated with C2 in training patients undergoing FUAS alone. Compared with other subtypes, the extrinsic subtype of C2 was significantly associated with dysmenorrhea recurrence in the FUAS group. Besides, the median dysmenorrhea recurrence time of extrinsic subtype was significantly shorter than that of other subtypes (42.0 months vs. 50.3 months). In the validation cohort, C2 was confirmed as the optimal system and its extrinsic subtype was confirmed to have a significantly shorter dysmenorrhea recurrence time than other subtypes. DATA CONCLUSION: Classification 2 can inform dysmenorrhea relief and recurrence in patients with adenomyosis undergoing FAUS only. Itsextrinsic subtype was associated with an earlier onset of dysmenorrhea recurrence after treatment. EVIDENCE LEVEL: 3 TECHNICAL EFFICACY: Stage 5.

TransLnc: a comprehensive resource for translatable lncRNAs extends immunopeptidome.

LncRNAs are not only well-known as non-coding elements, but also serve as templates for peptide translation, playing important roles in fundamental cellular processes and diseases. Here, we describe a database, TransLnc (http://bio-bigdata.hrbmu.edu.cn/TransLnc/), which aims to provide comprehensive experimentally supported and predicted lncRNA peptides in multiple species. TransLnc currently documents approximate 583 840 peptides encoded by 33 094 lncRNAs. Six types of direct and indirect evidences supporting the coding potential of lncRNAs were integrated, and 65.28% peptides entries were with at least one type of evidence. Considering the strong tissue-specific expression of lncRNAs, TransLnc allows users to access lncRNA peptides in any of the 34 tissues involved in. In addition, both the unique characteristic and homology relationship were also predicted and provided. Importantly, TransLnc provides computationally predicted tumour neoantigens from peptides encoded by lncRNAs, which would provide novel insights into cancer immunotherapy. There were 220 791 and 237 915 candidate neoantigens binding by major histocompatibility complex (MHC) class I or II molecules, respectively. Several flexible tools were developed to aid retrieve and analyse, particularly lncRNAs tissue expression patterns, clinical relevance across cancer types. TransLnc will serve as a valuable resource for investigating the translation capacity of lncRNAs and greatly extends the cancer immunopeptidome.

Magnetic resonance imaging-based Classifications for Symptom of Adenomyosis.

OBJECTIVES: To identify an optimal magnetic resonance imaging (MRI)-based classification for the severity of adenomyosis and explore the factors associated with disease severity (dysmenorrhea or menorrhagia). DESIGN AND PARTICIPANTS: Several classifications based on MRI have been proposed, and their phenotypes are reported to be associated with the severity of adenomyosis. However, a consensus classification based on MRI findings has not yet been reached. Our study was designed to retrospectively analyze data from a cohort of patients in the Affiliated Nanchong Central Hospital of North Sichuan Medical College from June 2017 to December 2021 before focused ultrasound ablation surgery (FUAS), to identify the optimal classification of adenomyosis severity from different classification criteria and explore factors associated with the presence of symptoms. METHODS: The proportions of disease severity among different classification groups were compared to obtain the one generating the most considerable chi-square value, which was identified as the optimal classification for informing disease severity. A logistic regression model was constructed to explore factors associated with disease severity. RESULTS: Classification of Kobayashi H (classification 4) concerning the affected areas and size (volumes of lesions) was recognized as the optimal one, which identified dysmenorrhea (χ2=18.550, p-value=0.002) and menorrhagia (χ2=15.060, p-value=0.010) secondary to adenomyosis. For volumes of uterine wall <2/3, the dysmenorrhea rate in subtype-4 was higher than that in subtype-1 (χ2=4.114, p-value=0.043), and the dysmenorrhea rate in subtype-5 was higher than that in subtype-2 (χ2=4.357, p-value=0.037). Age (OR=0.899, 95%CI=0.810～0.997, p-value=0.044) and external phenotype (OR=3.588, 95%CI=CI 1.018～12.643, p-value=0.047) were associated with dysmenorrhea. Concerning volumes of uterine wall ≥2/3, the menorrhagia rate in subtype-3 remarkably increased compared with that in subtype-6 (χ2=9.776, p-value=0.002), and internal phenotype was identified as an independent factor associated with menorrhagia (OR=1.706, 95%CI=1.131～2.573, p-value=0.011). LIMITATIONS: Patients in our study were all included before FUAS, which limited our result interpretation for the general patient population. CONCLUSIONS: MRI-based classification 4 is identified as an optimal classification for informing the severity of adenomyosis. The phenotype of classification is the main characteristic associated with disease severity.

[Change of dietary pattern among young people aged 18-35 in China from 1989 to 2018].

OBJECTIVE: To analyze the dietary patterns changes of young people aged 18-35 in 15 provinces(autonomous regions, municipalities) from 1989 to 2018. METHODS: Using the data of China Health and Nutrition Survey, a total of 25 400 young people aged 18-35 with complete dietary and sociodemographic information from 1989 to 2018 in 15 provinces(autonomous regions, municipalities) were selected as the research objects. Nutrition survey was carried out by using 3 consecutive days of 24-hour review method combined with weighing accounting method. Energy and nutrient intake was calculated based on food composition list. The principal component cluster analysis was used to select food groups and K-mean cluster was uesd to extract dietary patterns. Dwass-Steel-Critchlow-Fligner was used to test the difference of food intake in different dietary patterns. Cochran-Armitage trend test was to analyze the change of dietary patterns with the years. Chi-square test was to analyze the difference of people with different dietary patterns in 2018. RESULTS: The dietary patterns of young people aged 18-35 in 15 provinces(autonomous regions, municipalities) were mainly divided into three categories: "traditional rice", "traditional pasta" and "high-quality protein". In 2018, the proportion of "traditional rice" dietary patterns was higher for men than for women, and the proportion of "high-quality protein" dietary patterns was lower than for women. The proportion of "traditional pasta" dietary pattern in people aged 25-35 was higher than that aged 18-24, and the proportion of "high-quality protein" dietary pattern was lower than that aged 18-24. The proportion of people in urban with "traditional rice" dietary pattern was lower than that in rural areas, and the proportion of "high-quality protein" dietary pattern was higher than that in rural areas. The northern region was dominated by "traditional pasta" dietary pattern, while the southern region was dominated by "traditional rice" dietary pattern, and the proportion of people with "high-quality protein" dietary pattern was higher in the northern region than in the southern region. With the increase of education level and income level, the proportion of people with "high-quality protein" dietary pattern showed an increasing trend. From 1989 to 2018, the "traditional rice" dietary pattern had always maintained a high proportion among young people aged 18-35 in 15 provinces(autonomous regions, municipalities) in China, and the "traditional pasta" dietary pattern had been decreasing since 2009, and the "high-quality protein" dietary pattern had significantly increased since 2011. CONCLUSION: From 1989 to 2018, the proportion of young people aged 18-35 with reasonable dietary pattern has increased in 15 provinces(autonomous regions, municipalities), but the traditional dietary pattern still needs to be improved.

Peroxiredoxin IV plays a critical role in cancer cell growth and radioresistance through the activation of the Akt/GSK3 signaling pathways.

High levels of redox enzymes have been commonly observed in various types of human cancer, although whether and how the enzymes contribute to cancer malignancy and therapeutic resistance have yet to be understood. Peroxiredoxin IV (Prx4) is an antioxidant with bona fide peroxidase and molecular chaperone functions. Here, we report that Prx4 is highly expressed in prostate cancer patient specimens, as well as established prostate cancer cell lines, and that its levels can be further stimulated through the activation of androgen receptor signaling. We used lentivirus-mediated shRNA knockdown and CRISPR-Cas9 based KO techniques to establish Prx4-depleted prostate cancer cells, which showed delayed cell cycle progression, reduced rate of cell proliferation, migration, and invasion compared to control cells. In addition, we used proteome profiler phosphokinase arrays to identify signaling changes in Prx4-depleted cells; we found that loss of Prx4 results in insufficient phosphorylation of both Akt and its downstream kinase GSK3α/ß. Moreover, we demonstrate that Prx4-depleted cells are more sensitive to ionizing radiation as they display compromised ability to scavenge reactive oxygen species and increased accumulation of DNA damage. In mouse xenograft models, we show depletion of Prx4 leads to significant suppression of tumor growth, and tumors formed by Prx4-depleted cells respond more effectively to radiation therapy. Our findings suggest that increased levels of Prx4 contribute to the malignancy and radioresistance of prostate cancer through the activation of Akt/GSK3 signaling pathways. Therefore, strategies targeting Prx4 may be utilized to potentially inhibit tumor growth and overcome radioresistance in prostate cancer.

GBP5 promotes liver injury and inflammation by inducing hepatocyte apoptosis.

Liver injury is the first step in causing fibrosis, cirrhosis, and liver cancer, leading to mortality. However, the drivers of progressive liver injury are still incompletely defined. Here, we identify GBP5 as a major factor causing liver injury and inflammation. We show that the expression of GBP5 is abnormally elevated in the damaged liver, and its expression depends at least partially on the NF-κB-inducing kinase (NIK)/NF-κB2 signaling pathway. Knockout of Gbp5 ameliorates D-galactosamine/lipopolysaccharide (GalN/LPS)-induced liver injury and inflammation. Conversely, liver-specific overexpression of GBP5 induces liver injury and inflammation. Mechanistically, GBP5 induces hepatocyte apoptosis through the activation of both calpain/caspase 12/caspase 3 and TNFα/caspase 8/caspase 3 signaling pathways. Inhibition of either calpain activity or caspase 3 prevents GBP5-induced cell death. Our data demonstrate that GBP5 expression is induced by toxins or the NIK signaling pathway, which promotes both extrinsic and intrinsic apoptosis signaling pathways and further induces liver injury, providing a novel drug target for the treatment of liver injury and inflammation.

Spatial dynamics of pH in the rhizosphere of Leersia hexandra Swartz at different chromium exposure.

The roots of hyperaccumulators can significantly alter soil pH and thus change the chromium (Cr) availability in the rhizosphere. The pH dynamics in the rhizosphere of Cr hyperaccumulator Leersia hexandra Swartz remains unknown. In this study, the spatial dynamics of pH in the rhizosphere of L. hexandra at different Cr exposure were examined using planar optode (PO). The effects of different Cr concentrations on the biomass, physiological parameters, and soil enzyme activity were investigated. The results showed that pH in the rhizosphere of L. hexandra was highly heterogeneous and followed the root shape. There were obvious soil acidification in all groups and the average pH values in the control, Cr50, and Cr100 groups decreased by 0.26, 0.27, and 0.35 pH unit, respectively. At a certain concentration (50 mg kg-1), Cr significantly increased the plant height and biomass of L. hexandra compared to the control (p < 0.05). The concentrations of chlorophyll a, chlorophyll b, and total chlorophyll in the leaves increased with increasing Cr concentrations. The acid phosphatase, urease, and catalase activities in the rhizosphere were higher than those in the bulk soil. These results provide new insights into elucidating the hyperaccumulating mechanism of Cr and improving the phytoremediation efficiency.

Prescreening for osteoporosis with forearm bone densitometry in health examination population.

BACKGROUND: Early detection and timely prophylaxis can retard the progression of osteoporosis. The purpose of this study was to determine the validity of peripheral Dual Energy X-ray Absorptiometry (DXA) test for osteoporosis screening. We examined peripheral bone mineral density (BMD) using AKDX-09 W-I DXA densitometer. Firstly, we acquired BMD data from manufacturer-supplied density-gradient phantoms and 30 volunteers to investigate its accuracy and precision, then we measured BMD for 150 volunteers using both AKDX (left forearm) and Hologic Discovery Wi (left forearm, left hip and L1 - L4 vertebrae) simultaneously. Correlation relationship of BMD results acquired from two instruments was assessed by simple linear regression analysis, the Receiver Operating Characteristic (ROC) curves and Areas Under the Curves (AUCs) were evaluated for the diagnostic value of left forearm BMD measured by AKDX in detecting osteoporosis. RESULTS: In vitro precision errors of AKDX BMD were 0.40, 0.20, 0.19%, respectively, on low-, medium-, and high-density phantom; in vivo precision was 1.65%. Positive correlation was observed between BMD measured by AKDX and Hologic at the forearm (r = 0.670), L1-L4 (r = 0.430, femoral neck (r = 0.449), and total hip (r = 0.559). With Hologic measured T-score as the gold standard, the sensitivity of AKDX T-score < - 1 for identifying suboptimal bone health was 63.0 and 76.1%, respectively, at the distal one-third radius and at any site, and the specificity was 73.9 and 90.0%, respectively; the AUCs were 0.708 and 0.879. The sensitivity of AKDX T-score ≤ - 2.5 for identifying osteoporosis at the distal one-third radius and at any site was 76.9 and70.4%, respectively, and the specificity was 80.4 and 78.0%, respectively; the AUCs were 0.823 and 0.778. CONCLUSIONS: Peripheral DXA appears to be a reliable tool for prescreening for osteoporosis.

Essential Roles of Peroxiredoxin IV in Inflammation and Cancer.

Peroxiredoxin IV (Prx4) is a 2-Cysteine peroxidase with ubiquitous expression in human tissues. Prx4 scavenges hydrogen peroxide and participates in oxidative protein folding in the endoplasmic reticulum. In addition, Prx4 is secreted outside the cell. Prx4 is upregulated in several cancers and is a potential therapeutic target. We have summarized historical and recent advances in the structure, function and biological roles of Prx4, focusing on inflammatory diseases and cancer. Oxidative stress is known to activate pro-inflammatory pathways. Chronic inflammation is a risk factor for cancer development. Hence, redox enzymes such as Prx4 are important players in the crosstalk between inflammation and cancer. Understanding molecular mechanisms of regulation of Prx4 expression and associated signaling pathways in normal physiological and disease conditions should reveal new therapeutic strategies. Thus, although Prx4 is a promising therapeutic target for inflammatory diseases and cancer, further research needs to be conducted to bridge the gap to clinical application.

One-Step Synthesis of Carbon Nanoparticles Capable of Long-Term Tracking Lipid Droplet for Real-Time Monitoring of Lipid Catabolism and Pharmacodynamic Evaluation of Lipid-Lowering Drugs.

Lipid droplets (LDs) are intracellular lipid-rich organelles, which not only serve as neutral lipid reservoirs but also involve in many physiological processes and are associated with a variety of metabolic diseases and cancers. Long-term tracking of the state and behavior of LDs is of great significance but challenging. The difficulty is largely due to the lack of low cytotoxicity, high photobleaching resistance, and long intracellular retention probes that are capable of long-term tracking LDs. Herein, we report the discovery of two amphiphilic LD-targeting carbon nanoparticles (CNPs, i.e., CPDs and CDs) prepared by one-step room-temperature and hydrothermal methods. Their high lipid-water partition coefficient (log P > 2.13) and strong positive solvatochromism property ensure the quality of LD imaging. Especially, CDs exhibit favorable biocompatibility (2 mg mL-1, cell viability >90%), excellent photostability (after continuous laser irradiation on a confocal microscope for 2 h, relative FL intensity >85%), and superior intracellular retention ability, thereby enabling long-term tracking of LDs in hepatocytes for up to six passages. Based on the excellent long-term tracking ability, CDs are successfully applied to observe autophagy in a typical catabolic process and to evaluate the effect of a commonly used lipid-lowering drug atorvastatin on hepatocyte lipid uptake.

Landscape of the long non-coding RNA transcriptome in human heart.

Long non-coding RNAs (lncRNAs) have been revealed to play essential roles in the human cardiovascular system. However, information about their mechanisms is limited, and a comprehensive view of cardiac lncRNAs is lacking from a multiple tissues perspective to date. Here, the landscape of the lncRNA transcriptome in human heart was summarized. We summarized all lncRNA transcripts from publicly available human transcriptome resources (156 heart samples and 210 samples from 29 other tissues) and systematically analysed all annotated and novel lncRNAs expressed in heart. A total of 7485 lncRNAs whose expression was elevated in heart (HE lncRNAs) and 453 lncRNAs expressed in all 30 analysed tissues (EIA lncRNAs) were extracted. Using various bioinformatics resources, methods and tools, the features of these lncRNAs were discussed from various perspectives, including genomic structure, conservation, dynamic variation during heart development, cis-regulation, differential expression in cardiovascular diseases and cancers as well as regulation at transcriptional and post-transcriptional levels. Afterwards, all the features discussed above were integrated into a user-friendly resource named CARDIO-LNCRNAS (http://bio-bigdata.hrbmu.edu.cn/CARDIO-LNCRNAS/ or http://www.bio-bigdata.net/CARDIO-LNCRNAS/). This study represents the first global view of lncRNAs in the human cardiovascular system based on multiple tissues and sheds light on the role of lncRNAs in developments and heart disorders.

Transcriptional, metabolic, physiological and developmental responses of switchgrass to phosphorus limitation.

Knowing how switchgrass (Panicum virgatum L.) responds and adapts to phosphorus (P)-limitation will aid efforts to optimize P acquisition and use in this species for sustainable biomass production. This integrative study investigated the impacts of mild, moderate, and severe P-stress on genome transcription and whole-plant metabolism, physiology and development in switchgrass. P-limitation reduced overall plant growth, increased root/shoot ratio, increased root branching at moderate P-stress, and decreased root diameter with increased density and length of root hairs at severe P-stress. RNA-seq analysis revealed thousands of genes that were differentially expressed under moderate and severe P-stress in roots and/or shoots compared to P-replete plants, with many stress-induced genes involved in transcriptional and other forms of regulation, primary and secondary metabolism, transport, and other processes involved in P-acquisition and homeostasis. Amongst the latter were multiple miRNA399 genes and putative targets of these. Metabolite profiling showed that levels of most sugars and sugar alcohols decreased with increasing P stress, while organic and amino acids increased under mild and moderate P-stress in shoots and roots, although this trend reversed under severe P-stress, especially in shoots.

TACC3 promotes prostate cancer cell proliferation and restrains primary cilium formation.

Although primary cilia abnormalities have been frequently observed in multiple cancers, including prostate cancer (PCa), the molecular mechanisms underlying primary ciliogenesis repression in PCa cells remain unclear. Transforming acidic coiled-coil protein-3 (TACC3), whose deregulation has been implicated in the pathogenesis of several types of cancer, is a key centrosomal protein that plays a crucial role in centrosome/microtubule dynamics, potentially impacting primary cilium generation. Here, we showed that TACC3 was markedly upregulated in PCa and that knockdown of TACC3 restrained tumorigenesis and tumor growth in vitro and in vivo. Additionally, we found that TACC3 interacts with filamin A, and elevated levels of TACC3 disrupted the interaction between filamin A and meckelin, thereby restraining primary cilium formation in PCa cells.

Activation of NF-κB-Inducing Kinase in Islet ß Cells Causes ß Cell Failure and Diabetes.

Islet ß cell death has been proved to contribute to diabetes. Studies suggest that the activation of nuclear factor κB (NF-κB)-inducing kinase (NIK) is involved in the ß cell dysfunction encountered in obesity. However, the pathological significance of NIK activation in diabetes remains largely unknown. Here, we report that ß cell-specific overexpression of NIK (ß-NIK-OE) results in spontaneous diabetes in male mice at a young age (≥10 weeks of age), which is likely due to insulin deficiency, ß cell death, and insulitis. Importantly, inhibiting the kinase activation of NIK by the small molecule B022 prevents NIK- or H2O2-induced ß cell death and also reduces streptozotocin (STZ)-induced ß cell death while ameliorating hyperglycemia, suggesting that the kinase activity of NIK is essential in inducing islet inflammation, ß cell death, and diabetes. In all, this study not only uncovers a role of NIK in ß cell failure but also provides a potential therapeutic target for the treatment of diabetes.

Pharmacological Treatment of Osteoporosis in Elderly People: A Systematic Review and Meta-Analysis.

BACKGROUND: The evidence supporting the use of antiresorptive and anabolic agents for fracture prevention in elderly patients is still inconclusive. Whether it is too late to alter the course of the disease in this age-group has remained uncertain. OBJECTIVES: The objective of this study was to determine the efficacy and safety of antiresorptive and anabolic agents in elderly patients. METHODS: PubMed, Web of Science, MEDLINE, and the Cochrane Central Register of Controlled Trials were searched for randomized controlled trials (RCTs) and post hoc analyses of RCTs reporting efficacy outcomes or adverse events of antiresorptive and anabolic agents in elderly patients. Statistical heterogeneity was assessed with the Cochran Q χ2 test and I2 statistic. All results were expressed as relative risk (RR) with 95% confidence intervals (CIs). RESULTS: The meta-analysis included 1 RCT and 11 post hoc analyses of data from 10 double-blind placebo-controlled RCTs. Antiresorptive therapy significantly reduced the pooled incidence of vertebral fractures (RR = 0.43; 95% CI = 0.35-0.53; and p < 0.001). It was also associated with lower risk of nonvertebral and hip fractures (RR = 0.84; 95% CI = 0.74-0.96; and p = 0.009 and RR = 0.75; 95% CI = 0.58-0.97; and p = 0.028, respectively). For any adverse events, no difference was observed between antiresorptive agents and placebo groups (RR = 1.01; 95% CI = 1.00-1.02; and p = 0.23). CONCLUSIONS: Both antiresorptive and anabolic agents represented potentially important osteoporosis treatments, showing significant effects on reducing vertebral, nonvertebral, or hip fracture risk, and were well-tolerated by elderly patients. Even in the elderly, maybe it is not too late to alter the course of the disease.