Up-regulation of BTN3A1 on CD14+ cells promotes Vγ9Vδ2 T cell activation in psoriasis.

Vγ9Vδ2 T cells play an important role in the development and progression of psoriasis vulgaris (PV), but how they promote skin inflammation and the molecular mechanisms underlying Vγ9Vδ2 T cell dysfunction are poorly understood. Here, we show that circulating Vγ9Vδ2 T cells are decreased and exhibit enhanced proliferation and increased production of IFN-γ and TNF-α in PV patients. Monocytes from PV patients express higher levels of the phosphoantigen sensor butyrophilin 3A1 (BTN3A1) than monocytes from healthy controls. Blockade of BTN3A1 suppresses Vγ9Vδ2 T cell activation and abolishes the difference in Vγ9Vδ2 T cell activation between PV patients and healthy controls. The CD14+ cells in PV skin lesions highly express BTN3A1 and juxtapose to Vδ2 T cells. In addition, IFN-γ induces the up-regulation of BTN3A1 on monocytes. Collectively, our results demonstrate a crucial role of BTN3A1 on monocytes in regulating Vγ9Vδ2 T cell activation and highlight BTN3A1 as a potential therapeutic target for psoriasis.

MI-DenseCFNet: deep learning-based multimodal diagnosis models for Aureus and Aspergillus pneumonia.

OBJECTIVE: To build and merge a diagnostic model called multi-input DenseNet fused with clinical features (MI-DenseCFNet) for discriminating between Staphylococcus aureus pneumonia (SAP) and Aspergillus pneumonia (ASP) and to evaluate the significant correlation of each clinical feature in determining these two types of pneumonia using a random forest dichotomous diagnosis model. This will enhance diagnostic accuracy and efficiency in distinguishing between SAP and ASP. METHODS: In this study, 60 patients with clinically confirmed SAP and ASP, who were admitted to four large tertiary hospitals in Kunming, China, were included. Thoracic high-resolution CT lung windows of all patients were extracted from the picture archiving and communication system, and the corresponding clinical data of each patient were collected. RESULTS: The MI-DenseCFNet diagnosis model demonstrates an internal validation set with an area under the curve (AUC) of 0.92. Its external validation set demonstrates an AUC of 0.83. The model requires only 10.24s to generate a categorical diagnosis and produce results from 20 cases of data. Compared with high-, mid-, and low-ranking radiologists, the model achieves accuracies of 78% vs. 75% vs. 60% vs. 40%. Eleven significant clinical features were screened by the random forest dichotomous diagnosis model. CONCLUSION: The MI-DenseCFNet multimodal diagnosis model can effectively diagnose SAP and ASP, and its diagnostic performance significantly exceeds that of junior radiologists. The 11 important clinical features were screened in the constructed random forest dichotomous diagnostic model, providing a reference for clinicians. CLINICAL RELEVANCE STATEMENT: MI-DenseCFNet could provide diagnostic assistance for primary hospitals that do not have advanced radiologists, enabling patients with suspected infections like Staphylococcus aureus pneumonia or Aspergillus pneumonia to receive a quicker diagnosis and cut down on the abuse of antibiotics. KEY POINTS: • MI-DenseCFNet combines deep learning neural networks with crucial clinical features to discern between Staphylococcus aureus pneumonia and Aspergillus pneumonia. • The comprehensive group had an area under the curve of 0.92, surpassing the proficiency of junior radiologists. • This model can enhance a primary radiologist's diagnostic capacity.

Efficacy and safety of vunakizumab in moderate-to-severe chronic plaque psoriasis: A randomized, double-blind, placebo-controlled phase 3 trial.

BACKGROUND: Vunakizumab, a novel anti-interleukin-17A antibody, has shown promising efficacy for moderate-to-severe plaque psoriasis in a phase 2 trial. OBJECTIVE: We conducted a double-blind, randomized phase 3 trial (NCT04839016) to further evaluate vunakizumab in this population. METHODS: Six hundred ninety subjects were randomized (2:1) to receive vunakizumab 240 mg or placebo at weeks 0, 2, 4, and 8. At week 12, subjects on placebo were switched to vunakizumab 240 mg (weeks 12, 14, 16, and every 4 weeks thereafter). The co-primary endpoints were ≥90% improvement from baseline in the Psoriasis Area and Severity Index score (PASI 90) and a static Physicians Global Assessment score of 0/1 (sPGA 0/1) at week 12. RESULTS: At week 12, the vunakizumab group showed higher PASI 90 (76.8% vs 0.9%) and sPGA 0/1 (71.8% vs 0.4%) response rates, as well as higher PASI 75 (93.6% vs 4.0%), PASI 100 (36.6% vs 0.0%), and sPGA 0 (38.2% vs 0.0%) response rates (all two-sided P < .0001 vs placebo). Efficacy was maintained through week 52 with continuous vunakizumab. Possible treatment-related serious adverse events occurred in 0.9% of vunakizumab-treated subjects. LIMITATIONS: Chinese subjects only; no active comparator. CONCLUSION: Vunakizumab demonstrated robust clinical response at week 12 and through week 52, with good tolerability in moderate-to-severe plaque psoriasis.

Music training affects listeners' processing of different types of accentuation information: Evidence from ERPs.

Previous studies found that prolonged musical training can promote language processing, but few studies have examined whether and how musical training affects the processing of accentuation in spoken language. In this study, a vocabulary detection task was conducted, with Chinese single sentences as materials, to investigate how musicians and non-musicians process corrective accent and information accent in the sentence-middle and sentence-final positions. In the sentence-middle position, results of the cluster-based permutation t-tests showed significant differences in the 574-714 ms time window for the control group. In the sentence-final position, the cluster-based permutation t-tests revealed significant differences in the 612-810 ms time window for the music group and in the 616-812 ms time window for the control group. These significant positive effects were induced by the processing of information accent relative to that of corrective accent. These results suggest that both groups were able to distinguish corrective accent from information accent, but they processed the two accent types differently in the sentence-middle position. These findings show that musical training has a cross-domain effect on spoken language processing and that the accent position also affects its processing.

Genetic Polymorphisms of rs9949644 in MAPK4 Are Associated with Clinical Response to Methotrexate in Patients with Psoriasis.

BACKGROUND: The study aimed to investigate the relationship of MAPK4 genetic variants with the efficacy of methotrexate (MTX) in psoriasis patients. METHODS: Patients treated with MTX were classified as responders or nonresponders if the Psoriasis Area and Severity Index (PASI) at week 12 was reduced to greater than 75% or lower than 75%, respectively. The genotypes of 14 MAPK4 single-nucleotide polymorphisms in 310 patients were analyzed. The expression levels of MAPK4 protein were detected by Western blot. RESULTS: Only rs9949644 polymorphisms were associated with the efficacy after adjusting for the confounding factors. Patients with the rs9949644 AG or GG genotype had a better clinical response compared to patients with the AA genotype. Rs9949644 polymorphisms were significantly associated with the PASI improvement rate. Besides, the protein level of MAPK4, positively associated with the psoriasis severity, was higher in patients. There were no significant differences of MAPK4 protein levels among the three groups. While after treatment, MAPK4 levels in the AG or GG group showed a significantly down-regulated trend. CONCLUSION: By demonstrating the significant association of MAPK4 with the efficacy of MTX, this study indicates that MAPK4 may be involved in the psoriasis progression and act as a predictor of therapeutic response.

Establishment of a Mouse Model for Porokeratosis Due to Mevalonate Diphosphate Decarboxylase Deficiency.

INTRODUCTION: Porokeratosis (PK) is an autoinflammatory keratinization disease (AIKD) characterized by circular or annular skin lesions with a hyperkeratotic rim, pathologically shown as the cornoid lamella. Four genes that cause PK are associated with the mevalonate (MV) pathway. In Chinese PK patients, mevalonate diphosphate decarboxylase (MVD) is the most common causative gene. The lack of an animal model has greatly limited research on PK pathogenesis. MATERIALS AND METHODS: In this research, we constructed K14-CreERT2-Mvdfl/fl mice using the Cre-LoxP system to create a mouse model for in-depth studies of PK. The Epidermal Mvd gene was knocked out by intraperitoneal injection of Tamoxifen (TAM). Pathology, immunohistochemistry, RNA-seq, and Western Blot analysis were performed. RESULTS: Skin lesions appeared following Mvd deficiency, and pathological examination revealed the characteristic cornoid lamella, as well as cutaneous inflammation. Furthermore, we observed elevated levels of IL-17A and IL-1ß, and a decreased Loricrin level in epidermal Mvd-deficient mice. Compared with the wild-type (WT) group, Mvd deficiency activated the expression of lipid metabolism-related proteins. CONCLUSION: We developed the first mouse model for PK research, enabling further studies on disease development and treatment approaches.

Appropriate livestock grazing alleviates the loss of plant diversity and maintains community resistance in alpine meadows.

Alpine meadows constitute one of the major ecosystems on the Qinghai-Tibetan Plateau, with livestock grazing exerting a considerable impact on their biodiversity. However, the degree to which plant diversity influences community stability under different grazing intensities remains unclear in this region. This study conducted controlled grazing experiments across four levels of grazing intensity (no-, low-, medium-, and high-grazing) based on herbage utilization rate to assess the influence of grazing intensities on plant community structure and diversity-stability relationships. We discovered that high-grazing reduced plant diversity and attenuated the temporal stability and resistance of above-ground biomass. No- and low-grazing could alleviate plant biomass loss, with community resistance being optimal under low-grazing. The direct effects of livestock grazing on temporal stability were found to be negligible. Plant characteristics and diversity accounted for a substantial proportion of livestock grazing effects on community resistance (R2 = 0.46), as revealed by piecewise structural equation model analysis. The presence of plant diversity enhances the resistance of alpine meadows against disturbance and accelerates the recovery after grazing. Our results suggest that low-grazing intensity may represent a judicious option for preserving species diversity and community stability on the Qinghai-Tibetan Plateau.

An ankylosing spondylitis risk variant alters osteoclast differentiation.

OBJECTIVE: To explore whether the variants in non MHC proteasome gene are associated with AS and explain the role of the variant in the disease. MATERIAL AND METHODS: Case-control analysis to identify AS predisposition genes; dual-luciferase reporter assay, immunoblot analysis and osteoclastogenesis assays to detect the function of the positive variant. Affected individuals were diagnosed according to the modified New York Criteria by at least two experienced rheumatologists, and rechecked by another rheumatologist. RESULTS: The study included 1037 AS patients and 1014 no rheumatic and arthritis disease controls. The main age of AS onset is between 16 and 35 years old. HLA-B27-positive subjects comprised 90.0% of patients. A nonsynonymous SNP rs12717 in proteasome gene PSMB1 significantly associated with AS. Individuals with CC genotype had a higher onset risk compared with those with GG/GC genotypes (OR = 1.89, P = 0.0047). We also discovered that PSMB1 regulates the receptor activator of nuclear factor-κB (RANK)/RANK ligand (RANKL) signalling pathway and the disease-associated variant PSMB1-Pro11 significantly inhibits RANKL-induced NF-κB pathway in osteoclast differentiation via the degradation of IKK-ß compared with PSMB1-Ala11. RANKL induced osteoclast differentiation was significantly lower in primary monocyte osteoclast precursor from individuals with genotype PSMB131C/31C compared with individuals with genotype PSMB131G/31G. CONCLUSIONS: These results reveal a novel understanding of the bone formation and reabsorbing imbalance in AS. The new bone formation phenotype can be attributed to the inhibition of osteoclast differentiation by a more functional PSMB1 gene.

Musical training alters neural processing of tones and vowels in classic Chinese poems.

Long-term rigorous musical training promotes various aspects of spoken language processing. However, it is unclear whether musical training provides an advantage in recognizing segmental and suprasegmental information of spoken language. We used vowel and tone violations in spoken unfamiliar seven-character quatrains and a rhyming judgment task to investigate the effects of musical training on tone and vowel processing by recording ERPs. Compared with non-musicians, musicians were more accurate and responded faster to incorrect than correct tones. Musicians showed larger P2 components in their ERPs than non-musicians during both tone and vowel processing, revealing increased focused attention on sounds. Both groups showed enhanced N400 and LPC for incorrect vowels (vs. correct vowels) but non-musicians showed an additional P2 effect for vowel violations. Moreover, both groups showed enhanced LPC for incorrect tones (vs. correct tones) but only non-musicians showed an additional N400 effect for tone violations. These results indicate that vowel/tone processing is less effortful for musicians (vs. non-musicians). Our study suggests that long-term musical training facilitates speech tone and vowel processing in a tonal language environment by increasing the attentional focus on speech and reducing demands for detecting incorrect vowels and integration costs for tone changes.

LWR-Net: Robust and Lightweight Place Recognition Network for Noisy and Low-Density Point Clouds.

Point cloud-based retrieval for place recognition is essential in robotic applications like autonomous driving or simultaneous localization and mapping. However, this remains challenging in complex real-world scenes. Existing methods are sensitive to noisy, low-density point clouds and require extensive storage and computation, posing limitations for hardware-limited scenarios. To overcome these challenges, we propose LWR-Net, a lightweight place recognition network for efficient and robust point cloud retrieval in noisy, low-density conditions. Our approach incorporates a fast dilated sampling and grouping module with a residual MLP structure to learn geometric features from local neighborhoods. We also introduce a lightweight attentional weighting module to enhance global feature representation. By utilizing the Generalized Mean pooling structure, we aggregated the global descriptor for point cloud retrieval. We validated LWR-Net's efficiency and robustness on the Oxford robotcar dataset and three in-house datasets. The results demonstrate that our method efficiently and accurately retrieves matching scenes while being more robust to variations in point density and noise intensity. LWR-Net achieves state-of-the-art accuracy and robustness with a lightweight model size of 0.4M parameters. These efficiency, robustness, and lightweight advantages make our network highly suitable for robotic applications relying on point cloud-based place recognition.

EL-SLE: Efficient Learning Based Stride-Length Estimation Using a Smartphone.

The pedestrian stride-length estimation is a crucial piece of personal behavior data for many smartphone applications, such as health monitoring and indoor location. The performance of the present stride-length algorithms is suitable for simple gaits and single scenes, but when applied to sophisticated gaits or heterogeneous devices, their inaccuracy varies dramatically. This paper proposes an efficient learning-based stride-length estimation model using a smartphone to obtain the correct stride length. The model uses adaptive learning to extract different elements for changing and recognition tasks, including Long Short-Term Memory (LSTM) and Convolutional Neural Network (CNN) modules. The direct fusion method maps the eigenvectors to the appropriate stride length after combining the features from the learning modules. We presented an online learning module to update the model to increase the SLE model's generalization. Extensive experiments are conducted with heterogeneous devices or users, various gaits, and switched scenarios. The results confirm that the proposed method outperforms other state-of-the-art methods and achieves an average 4.26% estimation error rate in various environments.

Glycyrrhizin improves the pathogenesis of psoriasis partially through IL-17A and the SIRT1-STAT3 axis.

BACKGROUND: The anti-inflammatory effect of glycyrrhizin has been widely recognized, while the specific mechanism of glycyrrhizin in psoriasis remains poorly understood. RESULTS: In the imiquimod-induced mouse model of psoriasis (IMD), we found that glycyrrhizin can substantially improve the adverse symptoms in mice. The hematoxylin-eosin staining results showed that glycyrrhizin can also improve the pathological state of skin cells in IMD mice. Using enzyme-linked immunosorbent assay (ELISA), we found that glycyrrhizin substantially inhibited the expression of IL-17A and IFN-γ in the serum of IMD mice. In order to simulate the effect of IL-17A on keratinocytes in psoriasis, we treated HaCaT cells with 100 ng/mL IL-17A (IL-17A-HaCaT cells) for 48 h. Then, using cell-counting kit-8 (CCK-8) and ELISA assays, we found that glycyrrhizin inhibited the proliferation of IL-17A-HaCaT cells and reversed the promotion of IL-6, CCL20, and TNF-α induced by IL-17A. Further, western blotting (WB) results indicated that glycyrrhizin promoted the expression of SIRT1 and inhibited the expression of STAT3 and phosphorylated STAT3 (p-STAT3). By treating IL-17A-HaCaT cells with EX-527 (a potent and selective inhibitor of SIRT1), combined with CCK-8 and WB experiments, we initially found that EX-527 inhibited the proliferation of IL-17A-HaCaT cells and promoted the expression of STAT3, p-STAT3, and acetylated STAT3 (a-STAT3). However, when glycyrrhizin was added at the same time, the proliferation of IL-17A-HaCaT cells increased, and the expression of STAT3, p-STAT3, and a-STAT3 reduced. We then knocked down the expression of SIRT1 via small interfering RNA in IL-17A-HaCaT cells, and the results were consistent with those of EX-527. CONCLUSIONS: Together, these results indicated that glycyrrhizin improved psoriasis by inhibiting the expression of IL-17A and IFN-γ in vivo and suppressed the proliferation of IL-17A-HaCaT cells and the expression of STAT3, p-STAT3, and a-STAT3 by upregulating SIRT1 in vitro.

Identification of proteins associated with development of psoriatic arthritis in peripheral blood mononuclear cells: a quantitative iTRAQ-based proteomics study.

BACKGROUND: Biomarkers for distinguishing psoriatic arthritis (PsA) from psoriasis without arthritis (PsO) are still lacking. METHODS: We applied isobaric tags for relative and absolute quantification (iTRAQ) and LC-MS/MS to analyze the proteome profile of peripheral blood mononuclear cells (PBMCs) collected from patients with PsO, patients with PsA, and healthy controls. Bioinformatics analysis and western blotting were performed to identify and validate differentially expressed proteins. RESULTS: We identified 389, 199, 291, and 60 significantly differentially expressed proteins (adj.p < 0.05) in the comparison of all psoriatic patients versus healthy controls, PsO group versus healthy controls, PsA group versus healthy controls, and PsA group versus PsO group, respectively. Among these proteins, 14 proteins may represent promising biomarkers for PsA: SIRT2, NAA50, ARF6, ADPRHL2, SF3B6, SH3KBP1, UBA3, SCP2, RPS5, NUDT5, NCBP1, SYNE1, NDUFB7, HTATSF1. Furthermore, western blotting confirmed that SIRT2 expression was significantly higher in PBMCs from PsA patients than PsO and healthy controls, and was negatively correlated with the phosphorylation of p38 mitogen-activated protein kinase (p-p38MAPK; p = 0.006, r = - 0.582). CONCLUSIONS: This pilot study provided a broad characterization of the proteome of PBMCs in PsA as compared to PsO and healthy controls, which may help to provide prospective strategies for PsA diagnosis.

The Impact of ANxA6 Gene Polymorphism on the Efficacy of Methotrexate Treatment in Psoriasis Patients.

BACKGROUND: There are great interindividual variations in the clinical efficacy of methotrexate (MTX) treatment and patients' genetic background seems promising in its explanation. OBJECTIVES: The study aimed to test whether the polymorphism of annexin A6 (ANxA6) gene, a susceptibility factor for psoriasis, was associated with the clinical response to MTX therapy. METHODS: A total of 325 patients enrolled in the study received oral MTX treatment, of whom 310 completed the 1-year study and performed the genotype analysis. They were defined as responders (a reduction of Psoriasis Area and Severity Index [PASI] score ≥75%) and nonresponders (a reduction of PASI <50%) compared to baseline after 12 weeks of short-time therapy. On 1-year treatment, they were defined as responders if they achieved PASI75 and absolute PASI ≤3, otherwise as nonresponders. The genotypes of 4 single-nucleotide polymorphisms (SNPs) in the ANxA6 gene were verified using the Sequenom platform. Potential predictors associated with the treatment outcome of MTX were assessed by binary logistic regression. RESULTS: We found significant associations for the ANxA6 SNPs of rs11960458, rs960709, and rs13168551 with psoriasis severity. Patients with rs11960458 CC genotype and rs960709 GG genotype showed higher percentages of PASI75 and improvement rates of PASI at 12 weeks. And on 1-year treatment, statistical difference occurred in rs11960458 rather than other SNPs compared between responders and nonresponders that the frequency of CC genotype was higher in responders (p = 0.019). After adjustment for potential confounders, patients with rs11960458 TT/CT genotype (at 12 weeks: OR 0.483, 95% CI 0.245-0.951, p = 0.035; at 1 year: OR 0.483, 95% CI 0.280-0.833, p = 0.009) were significantly more likely to not respond to MTX both on the short-term and long-term treatment, while rs960709 and rs13168551 polymorphisms were only associated with the short-term efficacy of MTX (p = 0.018 and p = 0.036, respectively). CONCLUSIONS: The CC ge-notype of ANxA6 (rs11960458) was significantly associated with a better response when compared to those patients with the TT/CT genotype, thus being a potential predictor for the clinical efficacy of MTX.

Mvda is required for zebrafish early development.

BACKGROUND: The MVD gene mutations are identified in porokeratosis, which is considered a skin-specific autoinflammatory keratinization disease. However, the biological function of MVD gene remains largely unknown. Therefore, we analyzed the function of mvda gene, orthologous to the human MVD gene, in developing zebrafish. METHODS: Morpholino antisense oligonucleotide technique was used to generate mvda loss-of-function phenotypes. Knockdown of mvda was confirmed by RT-PCR and Sanger sequencing. Scanning and transmission electron microscopy were performed to analyze the morphology of the epidermis. Angiogenesis study was presented using the Tg(fli1a:EGFP)y1 transgenic strain. In addition, acridine orange staining was used to examine the apoptotic cells in vivo. RESULTS: As expected, the mvda morphants showed abnormal morphology of the epidermis. Moreover, we observed ectopic sprouts in trunk angiogenesis and impaired formation of the caudal vein plexus in the mvda-deficient zebrafish. Besides, increased apoptosis was found throughout the tail, heart, and eyes in mvda zebrafish morphants. CONCLUSIONS: These findings indicated the essential role of mvda in the early development of zebrafish. This was the first in vivo knockdown study of the zebrafish mvda gene, which might offer insight into the biological function of the human MVD gene.

Application of esophageal wire traction in lymph node dissection during three-hole thoracoscopic McKeown esophagectomy.

INTRODUCTION: The quality of left recurrent laryngeal nerve lymph node dissection is critical in esophageal cancer. We investigated whether esophageal wire traction in three-hole thoracoscopic esophagectomy can improve the same. MATERIAL AND METHODS: We retrospectively analyzed the data of 98 patients who underwent thoracoscopic esophagectomy in our center from January 2018 to July 2018: 36 patients with esophageal wire traction and 62 patients without traction (control group). The clearance time for left recurrent laryngeal nerve lymph nodes, thoracic bleeding volume, number of left recurrent laryngeal nerve lymph nodes, and complications were recorded. RESULTS: The observation group had a shorter clearance time for the left recurrent laryngeal nerve lymph nodes (15.8 ± 6.9 min vs. 20.00 ± 6.2 min), less thoracic bleeding (55.8 ± 30.2 mL vs. 70.7 ± 30.3 mL), and higher number of dissected left recurrent laryngeal lymph nodes (3.3 ± 1.4 vs. 2.5 ± 1.1) than the control group. There was no significant difference in the incidence of anastomotic leakage, pulmonary infection, arrhythmia, chylothorax, and nerve injury. CONCLUSIONS: Esophageal wire traction shortens the clearance time for the left recurrent laryngeal nerve lymph nodes, reduces thoracic bleeding, and improves the quality of left recurrent laryngeal nerve lymph node dissection in three-hole thoracoscopic esophagectomy.

Comprehensive analyses of long non-coding RNA expression profiles by RNA sequencing and exploration of their potency as biomarkers in psoriatic arthritis patients.

BACKGROUND: The aim of the current study was to investigate the long non-coding RNA (lncRNA) expression profiles in psoriatic arthritis (PSA) patients by RNA sequencing, and to further explore potential biomarkers that were able to predict PSA risk and activity. METHODS: LncRNA and mRNA expression profiles in peripheral blood mononuclear cells (PBMC) of 4 PSA patients and 4 normal controls (NCs) were detected by RNA sequencing, followed by comprehensive bioinformatic analyses. Subsequently, 3 top upregulated and 2 top downregulated lncRNAs were chosen for further validation in 93 PSA patients and 93 NCs by quantitative polymerase chain reaction (qPCR) assay. RESULTS: Totally 76 upregulated and 54 downregulated lncRNAs, as well as 231 upregulated and 102 downregulated mRNAs were discovered in PSA patients compared with NCs. Enrichment analyses revealed that they were mostly associated with nucleosome, extracellular exosome and extracellular matrix, and the top enriched pathways were systemic lupus erythematosus (SLE), alcoholism and viral carcinogenesis. qPCR assay showed that lnc-RP11-701H24.7 and lnc-RNU12 were upregulated in PSA patients compared with NCs, and they could predict PSA risk with high area under curves. Besides, lnc-RP11-701H24.7 was positively associated with ESR, SJC, TJC and pain VAS score while lnc-RNU12 was positively correlated with PASI score, CRP and PGA score, implying that both of them were positively correlated with disease activity. CONCLUSION: Our study facilitates comprehensive understanding of lncRNA expression profiles in PSA pathogenesis, and discovers that lnc-RP11-701H24.7 and lnc-RNU12 might be served as novel biomarkers for PSA risk and activity.

LncRNA TUG1 promotes cisplatin resistance in esophageal squamous cell carcinoma cells by regulating Nrf2.

Esophageal squamous cell carcinoma (ESCC) is a common malignancy with poor prognosis. The drug resistance compromises the efficacy of chemotherapy for ESCC. Long non-coding RNA taurine upregulated gene 1 (TUG1) has been identified as a promoter of cancer progression and chemotherapy resistance in many malignancies. However, the exact role of TUG1 in ESCC chemotherapy resistance remains unclear. In this study, we showed that TUG1 expression in TE-1-derived cisplatin (DDP)-resistant (TE-1/DDP) cells was higher than that in TE-1 cells. Furthermore, TUG1 promoted DDP resistance in TE-1 and TE-1/DDP cells by promoting cell proliferation, suppressing cell apoptosis, and elevating protein expression of the classical multi-drug resistance-related P-gp. In contrast, TUG1 knockdown exerted an opposite effect. Mechanistically, RNA pull-down and RNA immunoprecipitation assays confirmed that TUG1 directly bound to nuclear factor (erythroid-derived 2)-like 2 (Nrf2) protein and elevated Nrf2 protein expression. Moreover, Nrf2-neutralizing antibody effectively reversed the TUG1 overexpression-mediated promotion of ESCC cell resistance to DDP. In conclusion, our findings demonstrated that TUG1 promoted ESCC cell resistance to DDP, at least in part, through upregulating Nrf2.