This study aimed to investigate the effects of Zhiwei Fuwei Pills on mitochondrial apoptosis in the rat model of precancerous lesions of gastric cancer(PLGC) based on the microRNA-21(miRNA-21)/B-cell lymphoma-2(Bcl-2) signaling pathway. Eighty-five 5-week-old male SPF-grade SD rats were selected, of which 75 were fed with N-methyl-N'-nitro-N-nitrosoguanidine(MNNG) for multifactorial modeling, and the PLGC model was established after 26 weeks. The rats were randomly grouped as follows: model, folic acid(0.002 g·kg~(-1)), low-dose(0.42 g·kg~(-1)) Zhiwei Fuwei Pills, medium-dose(0.84 g·kg~(-1)) Zhiwei Fuwei Pills, and high-dose(1.67 g·kg~(-1)) Zhiwei Fuwei Pills, with 15 rats in each group. Additionally, 10 rats were assigned to a blank group and administrated with an equivalent volume of normal saline by gavage. After four weeks of continuous drug administration, the gastric mucosal tissue was collected. Hematoxylin-eosin(HE) staining was performed to reveal the pathological changes in the gastric mucosa. Terminal deoxynucleotidyl transferase dUTP nick end labeling(TUNEL) was employed to detect apoptosis in gastric mucosal epithelial cells. RT-PCR was adopted to determine the mRNA levels of miRNA-21, phosphatase and tensin homolog(PTEN), Bcl-2, Bcl-2-associated X protein(Bax), and cysteinyl aspartate-specific protease 3(caspase-3). Western blot was employed to determine the protein levels of PTEN, Bcl-2, Bax, and caspase-3. Immunohistochemistry(IHC) was used to detect the positive expression of PTEN, Bcl-2, and Bax in the gastric mucosal tissue. Transmission electron microscopy(TEM) was employed to observe the morphological and structural changes in mitochondria. The results showed that compared with model group, the drug administration groups showed alleviated pathological changes, with increased apoptotic cells, down-regulated mRNA levels of miRNA-21 and Bcl-2, up-regulated mRNA and protein levels of PTEN, Bax, and caspase-3, and down-regulated protein level of Bcl-2. In addition, the drug administration groups exhibited mitochondrial swelling and rupture and reduction of cristae, which indicated mitochondrial apoptosis. These findings suggest that Zhiwei Fuwei Pills can effectively improve mitochondrial apoptosis in PLGC cells by regulating the miRNA-21/Bcl-2 signaling pathway.
Animals ; MicroRNAs/metabolism* ; Male ; Apoptosis/drug effects* ; Stomach Neoplasms/physiopathology* ; Proto-Oncogene Proteins c-bcl-2/genetics* ; Rats ; Rats, Sprague-Dawley ; Drugs, Chinese Herbal/administration & dosage* ; Mitochondria/genetics* ; Signal Transduction/drug effects* ; Precancerous Conditions/drug therapy* ; Humans ; PTEN Phosphohydrolase/genetics*

The efficient production of L-glutamate is dependent on the product's rapid efflux, hence researchers have recently concentrated on artificially modifying its transport system and cell membrane wall structure. Considering the unique composition and structure of the cell wall of Corynebacterium glutamicum, we investigated the effects of CmpLs on L-glutamate synthesis and transport in SCgGC7, a constitutive L-glutamate efflux strain. First, the knockout strains of CmpLs were constructed, and it was confirmed that the deletion of CmpL1 and CmpL4 significantly improved the performance of L-glutamate producers. Next, temperature-sensitive L-glutamate fermentation with the CmpL1 and CmpL4 knockout strains were carried out in 5 L bioreactors, where the knockout strains showcased temperature-sensitive characteristics and enhanced capacities for L-glutamate production under high temperatures. Notably, the CmpL1 knockout strain outperformed the control strain in terms of L-glutamate production, showing production and yield increases of 69.2% and 55.3%, respectively. Finally, the intracellular and extracellular metabolites collected at the end of the fermentation process were analyzed. The modification of CmpLs greatly improved the L-glutamate excretion and metabolic flux for both L-glutamate production and transport. Additionally, the CmpL1 knockout strain showed decreased accumulation of downstream metabolites of L-glutamate and intermediate metabolites of tricarboxylic acid (TCA) cycle, which were consistent with its high L-glutamate biosynthesis capacity. In addition to offering an ideal target for improving the stability and performance of the industrial strains for L-glutamate production, the functional complementarity and redundancy of CmpLs provide a novel target and method for improving the transport of other metabolites by modification of the cell membrane and cell wall structures in C. glutamicum.
Corynebacterium glutamicum/genetics* ; Glutamic Acid/biosynthesis* ; Fermentation ; Metabolic Engineering ; Bacterial Proteins/metabolism* ; Bioreactors/microbiology* ; Gene Knockout Techniques

GBA1 gene mutation is an important genetic risk factor for Parkinson’s disease (PD). This paper reports a case of a 43-year-old male PD patient carrying a rare heterozygous Thr408Met mutation in the GBA1 gene identified through whole-exome sequencing, leading to a diagnosis of GBA1-associated PD. The patient’s motor symptoms were primarily characterized by bradykinesia and rigidity, without significant cognitive decline. Treatment with low-dose levodopa combined with a dopamine agonist resulted in significant symptomatic improvement.

Abstract Skin, the largest organ of the human body, serves as the primary barrier against environmental hazards. Skin aging is a complex process influenced by both intrinsic factors, such as endogenous physiological changes, and extrinsic factors, including environmental exposures, reflecting the internal health status of the body. During skin aging, various cell types exhibit diverse responses to aging-related stimulations. This paper systematically reviews the roles of cells in the pathogenesis of skin aging and explores potential therapeutic strategies for mitigating this process. Furthermore, based on the biological activities of cells during skin aging, we elucidate the interaction mechanisms among cells within the skin microenvironment.

Objective To deeply understand the anatomical basis of temporomandibular joint disorders,and explore and master the pathological characteristics of anterior displacement of temporomandibular joint disc through cadaveric dissection and 3D printing technology.Methods By dissecting the temporomandibular joints of 40 head and neck specimens,the bilateral structures of the temporomandibular joints were measured to obtain condyle and articular disc data.3D modeling was carried out using 3ds Max software and printed out a model of temporomandibular joint.The pathological model of the anterior disc displacement with reduction(ADDwR)was simulated by adjusting the opening degree,the position of the articular disk,and the position of the condyle of the model.Results The precise data of the right and left temporomandibular joint discs and condyle were successfully obtained by dissection and measurement.The thickness of the anterior band of left temporomandibular joint discs was(2.02±0.57)mm,the thickness of the middle band was(1.46±0.33)mm,the thickness of the posterior band was(3.00±0.46)mm,the anterior-posterior diameter was(9.60±0.72)mm,and the internal-external diameter was(17.73±0.84)mm.While the thickness of the anterior band of right temporomandibular joint discs was(1.84±0.35)mm,and the thickness of the middle band was(1.43±0.28)mm,the thickness of posterior band was(3.08±0.49)mm,the anterior-posterior diameter was(9.30±0.88)mm,and the internal-external diameter was(17.38±1.10)mm.The internal-external diameter of the left temporomandibular joint condyle was(18.97±0.41)mm,and the anterior-posterior diameter was(8.56±0.43)mm;the internal-external diameter of the right temporomandibular joint condyle was(18.86±0.75)mm,and the anterior-posterior diameter was(8.40±0.30)mm.The standard temporomandibular joint model was printed out by the measured data.The model was utilized to simulate the physiological state of temporomandibular joint under normal conditions,as well as the three pathological states of closed mouth,closed mouth to open mouth,and open mouth in the case of ADDwR.Conclusion The temporomandibular joint model can more intuitively present the changes of anatomical structure in reversible temporoman-dibular joint disorders,which is helpful for understanding and mastering the different classification of this disease.

Objective To deeply understand the anatomical basis of temporomandibular joint disorders,and explore and master the pathological characteristics of anterior displacement of temporomandibular joint disc through cadaveric dissection and 3D printing technology.Methods By dissecting the temporomandibular joints of 40 head and neck specimens,the bilateral structures of the temporomandibular joints were measured to obtain condyle and articular disc data.3D modeling was carried out using 3ds Max software and printed out a model of temporomandibular joint.The pathological model of the anterior disc displacement with reduction(ADDwR)was simulated by adjusting the opening degree,the position of the articular disk,and the position of the condyle of the model.Results The precise data of the right and left temporomandibular joint discs and condyle were successfully obtained by dissection and measurement.The thickness of the anterior band of left temporomandibular joint discs was(2.02±0.57)mm,the thickness of the middle band was(1.46±0.33)mm,the thickness of the posterior band was(3.00±0.46)mm,the anterior-posterior diameter was(9.60±0.72)mm,and the internal-external diameter was(17.73±0.84)mm.While the thickness of the anterior band of right temporomandibular joint discs was(1.84±0.35)mm,and the thickness of the middle band was(1.43±0.28)mm,the thickness of posterior band was(3.08±0.49)mm,the anterior-posterior diameter was(9.30±0.88)mm,and the internal-external diameter was(17.38±1.10)mm.The internal-external diameter of the left temporomandibular joint condyle was(18.97±0.41)mm,and the anterior-posterior diameter was(8.56±0.43)mm;the internal-external diameter of the right temporomandibular joint condyle was(18.86±0.75)mm,and the anterior-posterior diameter was(8.40±0.30)mm.The standard temporomandibular joint model was printed out by the measured data.The model was utilized to simulate the physiological state of temporomandibular joint under normal conditions,as well as the three pathological states of closed mouth,closed mouth to open mouth,and open mouth in the case of ADDwR.Conclusion The temporomandibular joint model can more intuitively present the changes of anatomical structure in reversible temporoman-dibular joint disorders,which is helpful for understanding and mastering the different classification of this disease.

Circular RNAs (circRNAs) are a kind of non-coding RNA (ncRNA) with covalent closed-loop structure. They have attracted more and more attention because of their high stability, evolutionary conservatism, and tissue expression specificity. It has shown that circRNAs are involved in the development of a variety of diseases including malignant tumors recently. Nasopharyngeal carcinoma (NPC) is a malignant tumor that occurs in the nasopharynx and has a unique ethnic and geographical distribution in South China and Southeast Asia. Epstein-Barr virus (EBV) infection is closely related to the development of NPC. Radiotherapy and chemotherapy are the mainstays of treatment for NPC. But tumor recurrence or distant metastasis is the leading cause of death in patients with NPC. Several studies have shown that circRNAs, as gene expression regulators, play an important role in NPC and affect the progression of NPC. This review mainly summarized the research status of abnormally expressed circRNAs in NPC and EBV-encoded circRNAs. We also discussed the possibility of circRNAs as a therapeutic target, diagnostic and prognostic marker for NPC.

Purpose To explore the application value of combining 18F-FDG PET images with interpretable deep learning radiomics(IDLR)models in the differential diagnosis of primary Parkinson's disease(IPD)and atypical Parkinson's syndrome.Materials and Methods This cross-sectional study was conducted using the Parkinson's Disease PET Imaging Benchmark Database from Huashan Hospital,Fudan University from March 2015 to February 2023.A total of 330 Parkinson's disease patients underwent 18F-FDG PET imaging,both 18F-FDG PET imaging and clinical scale information were collected for all subjects.The study included two cohorts,a training group(n=270)and a testing group(n=60),with a total of 211 cases in the IPD group,59 cases in the progressive supranuclear palsy(PSP)group,and a group of 60 patients with multiple system atrophy(MSA).The clinical information between different groups were compared.An IDLR model was developed to extract feature indicators.Under the supervision of radiomics features,IDLR features were selected from the features collected by neural network extractors,and a binary support vector machine model was constructed for the selected features in images of in testing group.The constructed IDLR model,traditional radiomics model and standard uptake ratio model were separately used to calculate the performance metrics and area under curve values of deep learning models for pairwise classification between IPD/PSP/MSA groups.The study conducted independent classification and testing in two cohorts using 100 10-fold cross-validation tests.Brain-related regions of interest were displayed through feature mapping,using gradient weighted class activation maps to highlight and visualize the most relevant information in the brain.The output heatmaps of different disease groups were examined and compared with clinical diagnostic locations.Results The IDLR model showed promising results for differentiating between Parkinson's syndrome patients.It achieved the best classification performance and had the highest area under the curve values compared to other comparative models such as the standard uptake ratio model(Z=1.22-3.23,all P<0.05),and radiomics model(Z=1.31-2.96,all P<0.05).The area under the curve values for the IDLR model in differentiating MSA and IPD were 0.935 7,for MSA and PSP were 0.975 4,for IPD and PSP were 0.982 5 in the test set.The IDLR model also showed consistency between its filtered feature maps and the visualization of gradient-weighted class activation mapping slice thermal maps in the radiomics regions of interest.Conclusion The IDLR model has the potential for differential diagnosis between IPD and atypical Parkinson's syndrome in 18F-FDG PET images.

Background and purpose:Colorectal cancer(CRC)is one of the major malignant tumors threatening human health worldwide,with long-term high incidence and mortality rate.Potassium channel modulatory factor 1(KCMF1)is a member of the E3 ubiquitin ligase family.It binds to target proteins through the RING domain and participates in the regulation of a variety of biological processes in vivo.However,the function of KCMF1 in CRC remains unclear.This study aimed to investigate the expression level of E3 ubiquitin ligase KCMF1 in colorectal tumor,and to explore the effects of KCMF1 on the proliferation of CRC cells and its underlying molecular mechanism.Methods:The The Cancer Genome Atlas(TCGA)and Genotype-Tissue Expression(GTEx)databases were used to analyze the expression level of KCMF1 in CRC tissues and adjacent tissues and the association between the KCMF1 expression and the prognosis of CRC patients.Furthermore,immunohistochemical staining was performed to detect the protein level of KCMF1 in 90 paired human CRC tissues and adjacent non-tumor tissues.Lentiviral shRNA delivery system was employed to specifically target the KCMF1 gene(shKCMF1)in HCT116 and HCT15 CRC cell lines.The effects of KCMF1 knockdown on cell proliferation,apoptosis and cell cycle distribution were assessed by methyl thiazoyl terazolium(MTT)assay,colony formation assay,Western blot and flow cytometry.Changes in the transcriptional profile in HCT116 cells upon KCMF1 knockdown were identified by RNA sequencing(RNA-Seq),and the affected signaling pathways were evaluated by bioinformatics analysis.Real-time fluorescence quantitative polymerase chain reaction(RTFQ-PCR),Western blot,luciferase reporter assay and cell immunofluorescence assay were utilized to validate the alteration of the affected signaling pathway.Results:The TCGA and GTEx databases and IHC results showed that the mRNA and protein expression levels of KCMF1 in CRC tissues were significantly upregulated compared with adjacent tissues(P＜0.01).KCMF1 expression level was negatively correlated with the survival time of patients with CRC(P＜0.01),and was positively associated with CRC clinical stage(P＜0.05).Compared with control cells,KCMF1 knockdown significantly inhibited the proliferation of HCT116 and HCT15 cells(P＜0.001),induced cell apoptosis(P＜0.001),and led to cell cycle arrest in G1 phase(P＜0.01).RNA-Seq analysis showed that KCMF1 was involved in the regulation of several signaling pathways,including nuclear factor-κB(NF-κB)signaling pathway.KCMF1 knockdown reduced the transcription levels of the target genes of NF-κB signaling pathway,including BCL-XL,XIAP and CIAP(P＜0.05),and suppressed the expression of phosphorylated p65 and nuclear translocation of p65(P＜0.01).Meanwhile,the activity of NF-κB reporter was reduced in tumor cells upon KCMF1 knockdown(P＜0.01).Conclusion:The expression of KCMF1 is significantly upregulated in human CRC tissues and positively associated with advanced clinical stage and poor prognosis.KCMF1 may promote the proliferation of CRC cells by activating the NF-κB signaling pathway.KCMF1 may be a potential new therapeutic target for CRC.

Objective:To compare the effects of different reference brain regions on the semi-quantitative SUV ratio (SUVR) of 18F-Florzolotau PET images of Alzheimer′s disease (AD). Methods:The 18F-Florzolotau PET images of 28 (13 males, 15 females, age (57.3±9.5) years) normal controls (NC), 19 patients (4 males, 15 females, age (73.3±7.3) years) with β-amyloid (Aβ)-positive mild cognitive impairment (MCI) and 40 patients (19 males, 21 females, age (61.9±9.1) years) with AD were collected from Huashan Hospital, Fudan University between November 2018 and July 2020. Six semi-quantitative reference brain regions were defined, including whole cerebellum (WC), cerebellar gray matter (GM), cerebellar white matter (WM), parametric estimation of reference signal intensity (PERSI), WC after partial volume correction (WC_pvc), cerebellar GM after partial volume correction (GM_pvc). SUVR was calculated for 14 ROIs, which included the whole brain defined by the automated anatomical labeling (AAL) template, fusiform, inferior temporal, lingual, middle temporal, occipital, parahippocampal, parietal, posterior cingulate, precuneus defined by the AAL template, and Meta ROI composed of the above brain regions, and braak_Ⅰ-Ⅱ, braak_Ⅲ-Ⅳ, braak_Ⅴ-Ⅵ defined by the Desikan Killiany template. AUC was used to evaluate the classification ability of SUVR, and the correlation between SUVR and clinical scale scores were assessed by Spearman rank correlation analysis. Results:The SUVRs of most brain regions showed a steady upward trend in the AD disease spectrum. In the classification task of NC and MCI, the overall performance of SUVR based on WC_pvc was relatively optimal (AUCs: 0.975-1.000). In the classification task of NC and AD, SUVRs of 10 ROIs based on the WC_pvc method showed the relatively best performance (AUCs: 0.976-1.000). The correlation between SUVR of fusiform based on cerebellar WM and mini-mental state examination (MMSE) score was the strongest ( rs=-0.72, P<0.001), and the SUVR of precuneus based on WC_pvc showed the strongest correlation with clinical dementia rating (CDR) score ( rs=0.78, P<0.001). Conclusion:The SUVR based on WC_pvc method performs well in classification and correlation tasks, and is recommended to be used in semi-quantification of 18F-Florzolotau PET images of AD.