Identification of key regulatory molecules in the early development stage of Alzheimer's disease
This study indicates that NEAT1, XIST, HCG18 and KCNQ1OT1 act as ceRNAs in competitive binding with miRNAs to regulate the expression of Atp6v0b, Atp6v1e1, Atp6v1f and Syt1 before the occurrence of pathological changes in AD.PMID:38429903 | PMC:PMC10907834 | DOI:10.1111/jcmm.18151 (Source: J Cell Mol Med)
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Bin Huang Guan-Yong Ou Ni Zhang Source Type: research

METTL3 as a novel diagnosis and treatment biomarker and its association with glycolysis, cuproptosis and ceRNA in oesophageal carcinoma
J Cell Mol Med. 2024 Mar;28(6):e18195. doi: 10.1111/jcmm.18195.ABSTRACTMETTL3 has been shown to be involved in regulating a variety of biological processes. However, the relationship between METTL3 expression and glycolysis, cuproptosis-related genes and the ceRNA network in oesophageal carcinoma (ESCA) remains unclear. ESCA expression profiles from databases were obtained, and target genes were identified using differential analysis and visualization. Immunohistochemistry (IHC) staining assessed METTL3 expression differences. Functional enrichment analysis using GO, KEGG and GSEA was conducted on the co-expression profile...
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Xu-Sheng Liu Yu Zhang Zi-Yue Liu Yan Gao Ling-Ling Yuan Dao-Bing Zeng Fan Tan Hua-Bing Wan Zhi-Jun Pei Source Type: research

Construction of endothelial cell signatures for predicting the diagnosis, prognosis and immunotherapy response of bladder cancer via machine learning
J Cell Mol Med. 2024 Mar;28(6):e18155. doi: 10.1111/jcmm.18155.ABSTRACTWe subtyped bladder cancer (BC) patients based on the expression patterns of endothelial cell (EC) -related genes and constructed a diagnostic signature and an endothelial cell prognostic index (ECPI), which are useful for diagnosing BC patients, predicting the prognosis of BC and evaluating drug sensitivity. Differentially expressed genes in ECs were obtained from the Tumour Immune Single-Cell Hub database. Subsequently, a diagnostic signature, a tumour subtyping system and an ECPI were constructed using data from The Cancer Genome Atlas and Gene Expre...
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Yang Fu Shanshan Sun Du Shi Jianbin Bi Source Type: research

Upregulation of POC1A in lung adenocarcinoma promotes tumour progression and predicts poor prognosis
J Cell Mol Med. 2024 Mar;28(6):e18135. doi: 10.1111/jcmm.18135.ABSTRACTLung adenocarcinoma (LUAD) is characterized by a high incidence rate and mortality. Recently, POC1 centriolar protein A (POC1A) has emerged as a potential biomarker for various cancers, contributing to cancer onset and development. However, the association between POC1A and LUAD remains unexplored. We extracted The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) data sets to analyse the differential expression of POC1A and its relationship with clinical stage. Additionally, we performed diagnostic receiver operator characteristic (ROC) ...
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Zi-Hao Li Jia-Yi Li Zuo-Tao Wu Yong-Jie Zhu Ting Zhuo Ju-Sen Nong Jing Qian Hua-Jian Peng Lei Dai Yong-Yong Wang Ming-Wu Chen Xiao-Chun Zeng Source Type: research

STRN3 promotes tumour growth in hepatocellular carcinoma by inhibiting the hippo pathway
J Cell Mol Med. 2024 Mar;28(6):e18147. doi: 10.1111/jcmm.18147.ABSTRACTHCC is a globally high-incidence malignant tumour, and its pathogenesis is still unclear. Recently, STRN3 has been found to be elevated in various tumours, but its expression and biological functions in HCC have not been studied. In the study, clinical correlation analysis was performed on 371 liver cancer patients from TCGA database and liver cancer tissues and normal tissues from the GEO database. qRT-PCR and western blotting were used to detect relevant proteins in cells, and CCK8 and colony formation experiments were performed to analyse cell prolif...
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Jie Zhu Wenjia Tang Peiqi Fang Chong Wang Meixiu Gu Wenjing Yang Baishen Pan Beili Wang Wei Guo Source Type: research

Identification of crosstalk genes relating to ECM-receptor interaction genes in MASH and DN using bioinformatics and machine learning
This study aimed to identify genes shared by metabolic dysfunction-associated fatty liver disease (MASH) and diabetic nephropathy (DN) and the effect of extracellular matrix (ECM) receptor interaction genes on them. Datasets with MASH and DN were downloaded from the Gene Expression Omnibus (GEO) database. Pearson's coefficients assessed the correlation between ECM-receptor interaction genes and cross talk genes. The coexpression network of co-expression pairs (CP) genes was integrated with its protein-protein interaction (PPI) network, and machine learning was employed to identify essential disease-representing genes. Fina...
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Chao Chen Yuxi He Ying Ni Zhanming Tang Wensheng Zhang Source Type: research

Identification of key regulatory molecules in the early development stage of Alzheimer's disease
This study indicates that NEAT1, XIST, HCG18 and KCNQ1OT1 act as ceRNAs in competitive binding with miRNAs to regulate the expression of Atp6v0b, Atp6v1e1, Atp6v1f and Syt1 before the occurrence of pathological changes in AD.PMID:38429903 | DOI:10.1111/jcmm.18151 (Source: J Cell Mol Med)
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Bin Huang Guan-Yong Ou Ni Zhang Source Type: research

METTL3 as a novel diagnosis and treatment biomarker and its association with glycolysis, cuproptosis and ceRNA in oesophageal carcinoma
J Cell Mol Med. 2024 Mar;28(6):e18195. doi: 10.1111/jcmm.18195.ABSTRACTMETTL3 has been shown to be involved in regulating a variety of biological processes. However, the relationship between METTL3 expression and glycolysis, cuproptosis-related genes and the ceRNA network in oesophageal carcinoma (ESCA) remains unclear. ESCA expression profiles from databases were obtained, and target genes were identified using differential analysis and visualization. Immunohistochemistry (IHC) staining assessed METTL3 expression differences. Functional enrichment analysis using GO, KEGG and GSEA was conducted on the co-expression profile...
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Xu-Sheng Liu Yu Zhang Zi-Yue Liu Yan Gao Ling-Ling Yuan Dao-Bing Zeng Fan Tan Hua-Bing Wan Zhi-Jun Pei Source Type: research

Construction of endothelial cell signatures for predicting the diagnosis, prognosis and immunotherapy response of bladder cancer via machine learning
J Cell Mol Med. 2024 Mar;28(6):e18155. doi: 10.1111/jcmm.18155.ABSTRACTWe subtyped bladder cancer (BC) patients based on the expression patterns of endothelial cell (EC) -related genes and constructed a diagnostic signature and an endothelial cell prognostic index (ECPI), which are useful for diagnosing BC patients, predicting the prognosis of BC and evaluating drug sensitivity. Differentially expressed genes in ECs were obtained from the Tumour Immune Single-Cell Hub database. Subsequently, a diagnostic signature, a tumour subtyping system and an ECPI were constructed using data from The Cancer Genome Atlas and Gene Expre...
Source: J Cell Mol Med - March 2, 2024 Category: Molecular Biology Authors: Yang Fu Shanshan Sun Du Shi Jianbin Bi Source Type: research

A systematic review on deep learning-based automated cancer diagnosis models
J Cell Mol Med. 2024 Mar;28(6):e18144. doi: 10.1111/jcmm.18144.ABSTRACTDeep learning is gaining importance due to its wide range of applications. Many researchers have utilized deep learning (DL) models for the automated diagnosis of cancer patients. This paper provides a systematic review of DL models for automated diagnosis of cancer patients. Initially, various DL models for cancer diagnosis are presented. Five major categories of cancers such as breast, lung, liver, brain and cervical cancer are considered. As these categories of cancers have a very high percentage of occurrences with high mortality rate. The comparati...
Source: J Cell Mol Med - March 1, 2024 Category: Molecular Biology Authors: Ritu Tandon Shweta Agrawal Narendra Pal Singh Rathore Abhinava K Mishra Sanjiv Kumar Jain Source Type: research

CDDO regulates central and peripheral sensitization to attenuate post-herpetic neuralgia by targeting TRPV1/PKC- δ/p-Akt signals
This study aimed to explore whether CDDO could generate analgesic action in a PHN-rats' model. The behavioural test was determined by calibrated forceps testing. The number of apoptotic neurons and degree of glial cell reaction were assessed by immunofluorescence assay. Activation of PKC-δ and the phosphorylation of Akt were measured by western blots. CDDO improved PHN by decreasing TRPV1-positive nociceptive neurons, the apoptotic neurons, and reversed glial cell reaction in adult rats. It also suppressed the enhanced PKC-δ and p-Akt signalling in the sciatic nerve, dorsal root ganglia (DRG) and spinal dorsal horn. Our ...
Source: J Cell Mol Med - March 1, 2024 Category: Molecular Biology Authors: Chun-Ching Lu Chia-Yang Lin Ying-Yi Lu Hung-Pei Tsai Chih-Lung Lin Chieh-Hsin Wu Source Type: research

Rhizoma Paridis saponins attenuate Gram-negative bacteria-induced inflammatory acne by binding to KEAP1 and modulating Nrf2 and MAPK pathways
In this study, we aimed to evaluate the antiacne effects and the underlying mechanisms of PPH and a PPH-enriched Rhizoma Paridis extract (RPE) in treating the Gram-negative bacteria-induced acne. PPH and RPE treatments significantly suppressed the mRNA and protein expressions of interleukin (IL)-1β and IL-6 in lipopolysaccharide (LPS)-induced RAW 264.7 and HaCaT cells, along with the intracellular reactive oxygen species (ROS) generation. Furthermore, PPH and RPE inhibited the nuclear translocation of nuclear factor kappa-B (NF-κB) P65 in LPS-induced RAW 264.7 cells. Based on molecular docking, PPH could bind to kelch-li...
Source: J Cell Mol Med - March 1, 2024 Category: Molecular Biology Authors: Yang Yang Chaofan Wang Juan Wang Lingli Yang Zheng Lv Quan An Yiming Wang Xue Shao Fei Wang Tong Huo Jiali Liu Haoshu Luo Qianghua Quan Source Type: research

SIRT2-mediated deacetylation of ACLY promotes the progression of oesophageal squamous cell carcinoma
J Cell Mol Med. 2024 Mar;28(6):e18129. doi: 10.1111/jcmm.18129.ABSTRACTATP citrate lyase (ACLY), as a key enzyme in lipid metabolism, plays an important role in energy metabolism and lipid biosynthesis of a variety of tumours. Many studies have shown that ACLY is highly expressed in various tumours, and its pharmacological or gene inhibition significantly inhibits tumour growth and progression. However, the roles of ACLY in oesophageal squamous cell carcinoma (ESCC) remain unclear. Here, our data showed that ACLY inhibitor significantly attenuated cell proliferation, migration, invasion and lipid synthesis in different ESC...
Source: J Cell Mol Med - March 1, 2024 Category: Molecular Biology Authors: Xueying Zhang Yue Xu Shenglei Li Yue Qin Guangzhao Zhu Qing Zhang Yanting Zhang Fangxia Guan Tianli Fan Hongtao Liu Source Type: research

A systematic review on deep learning-based automated cancer diagnosis models
J Cell Mol Med. 2024 Mar;28(6):e18144. doi: 10.1111/jcmm.18144.ABSTRACTDeep learning is gaining importance due to its wide range of applications. Many researchers have utilized deep learning (DL) models for the automated diagnosis of cancer patients. This paper provides a systematic review of DL models for automated diagnosis of cancer patients. Initially, various DL models for cancer diagnosis are presented. Five major categories of cancers such as breast, lung, liver, brain and cervical cancer are considered. As these categories of cancers have a very high percentage of occurrences with high mortality rate. The comparati...
Source: J Cell Mol Med - March 1, 2024 Category: Molecular Biology Authors: Ritu Tandon Shweta Agrawal Narendra Pal Singh Rathore Abhinava K Mishra Sanjiv Kumar Jain Source Type: research

CDDO regulates central and peripheral sensitization to attenuate post-herpetic neuralgia by targeting TRPV1/PKC- δ/p-Akt signals
This study aimed to explore whether CDDO could generate analgesic action in a PHN-rats' model. The behavioural test was determined by calibrated forceps testing. The number of apoptotic neurons and degree of glial cell reaction were assessed by immunofluorescence assay. Activation of PKC-δ and the phosphorylation of Akt were measured by western blots. CDDO improved PHN by decreasing TRPV1-positive nociceptive neurons, the apoptotic neurons, and reversed glial cell reaction in adult rats. It also suppressed the enhanced PKC-δ and p-Akt signalling in the sciatic nerve, dorsal root ganglia (DRG) and spinal dorsal horn. Our ...
Source: J Cell Mol Med - March 1, 2024 Category: Molecular Biology Authors: Chun-Ching Lu Chia-Yang Lin Ying-Yi Lu Hung-Pei Tsai Chih-Lung Lin Chieh-Hsin Wu Source Type: research