Lung cancer is one of the most common cancers worldwide and is the leading cause of cancer deaths. Lung adenocarcinoma is the most common type of lung cancer. Due to the lack of effective biomarkers and therapeutic targets in the proliferation and metastasis of lung adenocarcinoma, the overall treatment of lung adenocarcinoma is not optimistic. Therefore, there is a need to find new ideas and methods for lung adenocarcinoma treatment. The 26S proteasome is a multiprotein complex responsible for degrading misfolded proteins and maintaining intracellular protein homeostasis. During the development of non-small cell lung cancer (NSCLC), the regulatory granule subunit of the 26S proteasome promotes the malignant progression of tumours by regulating tumour-associated proteins, immune cells, and related signalling pathways. The proteasome core particle is a key subunit for degrading proteins, and its inhibitors have shown promising anti-tumour effects when combined with conventional chemotherapeutic agents. However, limited by toxic side effects and tumour heterogeneity, targeted inhibitors against the 26S proteasome are still not widely used in NSCLC treatment. This article reviews the mechanism of action and related therapeutic research of 26S proteasome regulatory particle subunits and core particle subunits in NSCLC, and explores the potential of these inhibitors in clinical application.
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Humans ; Proteasome Endopeptidase Complex/chemistry* ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Animals ; Proteasome Inhibitors/therapeutic use* ; Antineoplastic Agents/therapeutic use*

Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

Notum, a negative feedback regulator of the Wnt signaling, has emerged as a promising target for treating glucocorticoid-induced osteoporosis (GIOP). This study showcases an efficient strategy for discovering the anti-Notum constituents from herbal medicines (HMs) as novel anti-GIOP agents. Firstly, a rapid-responding near-infrared fluorogenic substrate for Notum was rationally engineered for high-throughput identifying the anti-Notum HMs. The results showed that Bu-Gu-Zhi (BGZ), a known anti-osteoporosis herb, potently inhibited Notum in a competitive-inhibition manner. To uncover the key anti-Notum constituents in BGZ, an efficient strategy was adapted via integrating biochemical, phytochemical, computational, and pharmacological assays. Among all identified BGZ constituents, three furanocoumarins were validated as strong Notum inhibitors, while 5-methoxypsoralen (5-MP) showed the most potent anti-Notum activity and favorable safety profiles. Mechanistically, 5-MP acted as a competitive inhibitor of Notum via creating strong hydrophobic interactions with Trp128 and Phe268 in the catalytic cavity of Notum. Cellular assays showed that 5-MP remarkably promoted osteoblast differentiation and activated Wnt signaling in dexamethasone (DXMS)-challenged MC3T3-E1 osteoblasts. In dexamethasone-induced osteoporotic mice, 5-MP strongly elevated bone mineral density (BMD) and improved cancellous and cortical bone thickness. Collectively, this study constructs a high-efficient platform for discovering key anti-Notum constituents from HMs, while 5-MP emerges as a promising anti-GIOP agent.

Stem cells play a crucial role in maintaining tissue regenerative capacity and homeostasis. However, mechanisms associated with stem cell senescence require further investigation. In this study, we conducted a proteomic analysis of human dental pulp stem cells (HDPSCs) obtained from individuals of various ages. Our findings showed that the expression of NUP62 was decreased in aged HDPSCs. We discovered that NUP62 alleviated senescence-associated phenotypes and enhanced differentiation potential both in vitro and in vivo. Conversely, the knocking down of NUP62 expression aggravated the senescence-associated phenotypes and impaired the proliferation and migration capacity of HDPSCs. Through RNA-sequence and decoding the epigenomic landscapes remodeled induced by NUP62 overexpression, we found that NUP62 helps alleviate senescence in HDPSCs by enhancing the nuclear transport of the transcription factor E2F1. This, in turn, stimulates the transcription of the epigenetic enzyme NSD2. Finally, the overexpression of NUP62 influences the H3K36me2 and H3K36me3 modifications of anti-aging genes (HMGA1, HMGA2, and SIRT6). Our results demonstrated that NUP62 regulates the fate of HDPSCs via NSD2-dependent epigenetic reprogramming.
Humans ; Dental Pulp/cytology* ; Nuclear Pore Complex Proteins/genetics* ; Cellular Senescence/genetics* ; Stem Cells/metabolism* ; Epigenesis, Genetic ; Cell Proliferation ; Cell Differentiation ; Histone-Lysine N-Methyltransferase/metabolism* ; Cells, Cultured ; Cellular Reprogramming ; Cell Movement ; Proteomics

Objective:To study the morphological characteristics and ethnic differences of the chin soft and hard tissue of Han and Uyghur adult females of class Ⅱ 1.Methods:90 Uyghur and Han female subjects of class Ⅱ 1 aged 18-35 years old were enrolled and respectively divided into 3 groups according to the vertical skeletal types:high,average and low angle groups(n=30).The various indexes of the chin soft and hard tissue of the subjects were measured by X-ray lateral cephalic radiographs.The data were statisti-caly analyzed.Results:(1)The Po-Pos of the Han subjects with high angle was higher than that of those with low and average an-gle;the minimum chin thickness,the ratio of the chin thickness to the chin height,the ratio of the minimum chin thickness to the chin thickness and the angle of chin in the high angle group were smaller than those in the average angle group and the low angle group(P＜0.05).The chin height,the chin depression and the cervical-mandibular angle of the Uyghur subjects with high angle were higher than those of the Uyghur subjects with low angle and average angle;the minimum chin thickness,the ratio of the chin thickness to the chin height and the ratio of the minimum chin thickness to the chin thickness in the high angle group were smaller than those in the average and the low angle groups(P＜0.05).(2)In the low angle group,there were significant differences in the angle of chin,cervical-mandibular angle,soft tissue chin angle and Me-Mes between the 2 ethnic groups(P＜0.05).In the average angle group,there were significant differences in the height of chin,LI-LL and Me-Mes between the 2 ethnic groups(P＜0.05).In the high angle group,there were significant differences in the ratio of anterior to posterior chin thickness,in the angle of chin,LL-Pos and Po-Pos between the 2 ethnic groups(P＜0.05).(3)The positive correlation between FH/MP and Po-Pos,cervical-mandib-ular angle,chin depression,chin lip angle,chin height,ratio of anterior and posterior chin thickness and LL-Pos were found in Han and Uyghur subjects(P＜0.05).Mentolabial sulcus,the chin thickness,the ratio of the chin thickness to the chin height,the angle of chin and the ratio of the minimum chin thickness to the chin thickness were negatively correlated with FH/MP in both ethnic groups(P＜0.05).Conclusion:Han and Uy-ghur adult females of class Ⅱ 1 have different chin soft and hard tissue morphology in different vertical skeletal types with certain differences between the ethnic groups in the same vertical skeletal types,and there is a correlation between the chin soft and hard tis-sue morphology of different vertical skeletal types and the vertical skeletal types in Han and Uyghur adult females of class Ⅱ 1.

Objective To analyze ancient prescriptions for knee osteoarthritis(KOA),and explore their application patterns,for providing clinical reference value.Methods Prescriptions were collected from ancient documents,and a database was created by using Excel 2016 for frequency analysis.Association rules and hidden structures were analyzed by using SPSS Modeler 18.0 and Lantern 5.0.Results A total of 373 prescriptions and 421 herbs were collected,with 3894 times of frequency of medication.Danggui was the most frequently used herb.Herbs primarily tonified deficiencies,relieved exterior symptoms,and expelled wind-dampness,with warm properties and pungent,sweet,or bitter tastes,mainly targeting the spleen and kidney meridians.Thirteen strong association rules were identified,including Chuanxiong+Niuxi-Danggui,and Bixie-Niuxi.Hidden structure analysis revealed 10 variables,leading to 4 clusters and 4 core prescriptions.Common syndromes included wind-damp,wind-cold-damp,wind-damp-heat,and qi-blood deficiency.Conclusion The treatment of KOA in ancient literature focuses on dispelling wind and removing dampness,taking into account both positive deficiency and evil excess,flexible use of tonifying spleen and kidney,clearing dampness-heat,tonifying Qi and blood and other drugs.

Current experimental and computational methods have limitations in accurately and efficiently classifying ion channels within vast protein spaces. Here we have developed a deep learning algorithm, GPT2 Ion Channel Classifier (GPT2-ICC), which effectively distinguishing ion channels from a test set containing approximately 239 times more non-ion-channel proteins. GPT2-ICC integrates representation learning with a large language model (LLM)-based classifier, enabling highly accurate identification of potential ion channels. Several potential ion channels were predicated from the unannotated human proteome, further demonstrating GPT2-ICC's generalization ability. This study marks a significant advancement in artificial-intelligence-driven ion channel research, highlighting the adaptability and effectiveness of combining representation learning with LLMs to address the challenges of imbalanced protein sequence data. Moreover, it provides a valuable computational tool for uncovering previously uncharacterized ion channels.

Objective:To investigate the specific mechanisms underlying the protective effect of interleukin (IL) -27 in the pathogenesis of psoriasis.Methods:Five skin tissue samples from healthy individuals and 6 lesional skin samples from psoriasis patients were collected, and IL-27 expression was determined by immunohistochemical staining. Il27ra gene knockout (KO) mice were constructed. Psoriasis-like mouse models were established with topical imiquimod in 5 wild-type (WT) mice and 6 KO mice. Mouse skin lesions were evaluated using the modified Psoriasis Area and Severity Index (mPASI), and lesional skin tissues were collected for hematoxylin and eosin (HE) staining to observe changes in epidermal thickness. Single-cell suspensions were prepared with skin lesions and skin-draining lymph nodes of 4 WT mice and 3 KO mice, and changes in immune cells (including T cells, γδ T cells, and neutrophils) were analyzed using flow cytometry. Additionally, skin-draining lymph node cells were isolated from 9 normal WT mice, and IL-17A expression was stimulated using a T-cell receptor agonist (CD3/28 activating antibodies, αCD3/28) or cytokines (IL-23 + IL-1β), followed by the addition of IL-27; peripheral blood mononuclear cells (PBMCs) were isolated from 6 psoriasis patients, and IL-17A expression was stimulated using the T-cell receptor agonist, followed by the addition of IL-27; the effect of IL-27 on IL-17A expression in T cells was analyzed using flow cytometry and enzyme-linked immunosorbent assay (ELISA). Measurement data were compared between two groups using the t test. Results:Immunohistochemical staining revealed a significant reduction in IL-27 expression in psoriatic lesions (mean fluorescence intensity: 9.85 ± 3.07) compared with the normal skin (19.45 ± 2.51, t = 5.60, P < 0.001). Animal experiments demonstrated that the KO mice exhibited significantly aggravated psoriasis-like skin inflammation (mPASI: 4.00 ± 0.89) and significantly increased epidermal thickness (115.50 ± 7.69 μm) compared with the WT mice (mPASI: 2.80 ± 0.84, t = 2.28, P = 0.049; epidermal thickness: 92.26 ± 8.76 μm, t = 4.70, P = 0.001) ; compared with the WT mice, the KO mice showed significantly increased proportions of T cells (11.22% ± 2.76% vs. 7.08% ± 0.85%) and dermal γδ T cells (4.78% ± 0.39% vs. 2.78% ± 0.49%) among live cells in the lesions ( t = 2.91, 2.75, respectively, both P < 0.05), as well as significantly increased proportions of Th17, IL-17 + γδ T, Th22, and IL-22 + γδ T cells in the skin-draining lymph nodes (all P < 0.05), but no significant difference in the proportion of neutrophils in the lesions (WT: 13.57% ± 8.36%, KO: 14.43% ± 9.13%; t = 0.13, P = 0.902). Experiments with different stimuli showed that IL-27 significantly suppressed T-cell receptor agonist-induced IL-17A expression in murine γδ T cells (αCD3/28 group: 1.00 ± 0.11, αCD3/28 + IL-27 group: 0.76 ± 0.13; t = 3.54, P = 0.004), while there was no significant difference in IL-17A expression between cells induced by IL-23 + IL-1β with the IL-27 co-culture and those without ( t = 1.34, P > 0.05). ELISA showed that IL-27 significantly reduced the IL-17A concentration in the culture supernatant of draining lymph node cells stimulated by the T-cell receptor agonist (αCD3/28 group: 1 535.00 ± 97.76 pg/ml, αCD3/28 + IL-27 group: 1 030.00 ± 287.90 pg/ml, t = 3.29, P = 0.031), but did not reduce the IL-17A concentration induced by IL-23 + IL-1β ( t = 0.09, P > 0.05). Flow cytometry indicated that IL-27 significantly inhibited the T-cell receptor agonist-induced IL-17A expression in T cells from psoriasis patients (αCD3/28 group: 4.28 ± 3.25, αCD3/28 + IL-27 group: 3.04 ± 2.65, t = 4.46, P = 0.007) . Conclusion:IL-27 appeared to play a protective role in psoriasis by suppressing IL-17A secretion from T cells.

Objective:To investigate the effects of long non coding RNA KCNQ1OT1(LncRNA KCNQ1OT1)on the migration and invasion of oral squamous cell carcinoma(OSCC)cells by regulating the microRNA-875-5p(miR-875-5p)/ETS like transcription factor 4(ELK4)axis.Methods:QRT-PCR was applied to detect the mRNA levels of LncRNA KCNQ1OT1,miR-875-5p,and ELK4 in OSCC cell lines(HSC-3,PE/CA-PJ15,HN13)and tissues.The dual luciferase assay was applied to detect the targeting relationship between LncRNA KCNQ1OT1 and miR-875-5p,and target relationship between miR-875-5p and ELK4.HSC-3 cells were used in control group,sh-NC group,sh-KCNQ1OT1 group,sh-KCNQ1OT1+anti-NC group,sh-KCNQ1OT1+anti-miR-875-5p group,miR-NC group,miR-875-5p mimic group,miR-875-5p mimic+pcDNA-NC group,and miR-875-5p mimic+ELK4 group.The migration and invasion abilities of HSC-3 cells were detected.Immunoblotting was applied to detect the protein expression of ELK4,MMP-2,MMP-9 and epithelial mesenchymal transition(EMT)(E-Cadherin,N-Cadherin,Vimentin).The nude mouse transplant tumor was applied to verify the effect of LncRNA KCNQ1OT1 on OSCC transplant tumors.Results:LncRNA KCNQ1OT1 and ELK4 mRNA expression increased in OSCC tissues and cancer cell lines,while miR-875-5p expression decreased(P＜0.05).Database predictions show that miR-875-5p specifically bound to LncRNAs KCNQ1OT1 and ELK4,respectively.Compared with the sh-NC group,the numbers of cell migration and cell invasion,the expression of LncRNA KCNQ1OT1,ELK4,MMP-2,MMP-9,N-Cadherin,and Vimentin in the sh-KC-NQ1OT1 group were lower,while the expression of miR-875-5p and E-Cadherin was higher(P＜0.05).Compared with the sh-KC-NQ1OT1+anti-NC group,the expression of miR-875-5p and E-Cadherin in the sh-KCNQ1OT1+anti-miR-875-5p group was lower,while the numbers of cell migration and cell invasion,the expression of ELK4,MMP-2,MMP-9,N-Cadherin,and Vimentin were higher(P＜0.05).Compared with the miR-NC group,the expression of miR-875-5p and E-Cadherin in the miR-875-5p mimic group was higher,while the numbers of cell migration and cell invasion,the expression of ELK4,MMP-2,MMP-9,N-Cadherin,and Vim-entin were lower(P＜0.05).Compared with the miR-875-5p mimic+pcDNA-NC group,the numbers of cell migration and cell inva-sion,the expression of ELK4,MMP-2,MMP-9,N-Cadherin,and Vimentin in the miR-875-5p mimic+ELK4 group were higher,while the expression of E-Cadherin was lower(P＜0.05).The transplant tumor volume and weight of the sh-KCNQ1OT1 group were smaller than those of the sh-NC group,the mRNA and protein expression levels of LncRNA KCNQ1OT1,ELK4 were lower than those of the sh-NC group,and the expression level of miR-875-5p was higher than that of the sh-NC group(P＜0.05).Conclusion:Inhibition of LncRNA KCNQ1OT1 can target the miR-875-5p/ELK4 axis to inhibit migration,invasion,and EMT of OSCC cells.

Current experimental and computational methods have limitations in accurately and efficiently classi-fying ion channels within vast protein spaces.Here we have developed a deep learning algorithm,GPT2 Ion Channel Classifier(GPT2-ICC),which effectively distinguishing ion channels from a test set con-taining approximately 239 times more non-ion-channel proteins.GPT2-ICC integrates representation learning with a large language model(LLM)-based classifier,enabling highly accurate identification of potential ion channels.Several potential ion channels were predicated from the unannotated human proteome,further demonstrating GPT2-ICC's generalization ability.This study marks a significant advancement in artificial-intelligence-driven ion channel research,highlighting the adaptability and effectiveness of combining representation learning with LLMs to address the challenges of imbalanced protein sequence data.Moreover,it provides a valuable computational tool for uncovering previously uncharacterized ion channels.