Deactivation of the mitochondrial pyruvate dehydrogenase complex (PDC) is important for the metabolic switching of cancer cell from oxidative phosphorylation to aerobic glycolysis. Studies examining PDC activity regulation have mainly focused on the phosphorylation of pyruvate dehydrogenase (E1), leaving other post-translational modifications largely unexplored. Here, we demonstrate that the acetylation of Lys 488 of pyruvate dehydrogenase complex component X (PDHX) commonly occurs in hepatocellular carcinoma, disrupting PDC assembly and contributing to lactate-driven epigenetic control of gene expression. PDHX, an E3-binding protein in the PDC, is acetylated by the p300 at Lys 488, impeding the interaction between PDHX and dihydrolipoyl transacetylase (E2), thereby disrupting PDC assembly to inhibit its activation. PDC disruption results in the conversion of most glucose to lactate, contributing to the aerobic glycolysis and H3K56 lactylation-mediated gene expression, facilitating tumor progression. These findings highlight a previously unrecognized role of PDHX acetylation in regulating PDC assembly and activity, linking PDHX Lys 488 acetylation and histone lactylation during hepatocellular carcinoma progression and providing a potential biomarker and therapeutic target for further development.
Humans ; Acetylation ; Carcinoma, Hepatocellular/genetics* ; Liver Neoplasms/genetics* ; Pyruvate Dehydrogenase Complex/genetics* ; Gene Expression Regulation, Neoplastic ; Animals ; Mice ; Cell Line, Tumor ; Protein Processing, Post-Translational ; Histones/metabolism* ; Disease Progression

Objective To find out whether photobiomodulation(PBM)can mitigate cognitive dysfunction caused by chronic stress by affecting levels of adenosine triphosphate(ATP)and adenosine receptors.Methods Twenty-four C57BL/6J mice were randomly divided into a control group,a stress group,and a treatment group.Chronic unpredictable mild stress was used to establish a mouse model of stress.Six weeks into modeling,the treatment group was subjected to one week of PBM interventions.Behavioral tests were conducted to observe behavioral changes in the mice.Western blotting(WB)was used to detect the expressions of A1,A2B,and A3 adenosine receptors in the hippocampus and prefrontal cortex of mice in the three groups.Twelve C57BL/6J mice were randomly divided into a control group and an intervention group.The intervention group received a week of PBM interventions and underwent behavioral testing.WB was used to detect the expression changes of A1,A2B,and A3 adenosine receptors in the hippocampus and prefrontal cortex in both groups.Immunofluorescence assay was adopted to detect the expression of c-Fos in the hippocampus of mice in the two groups.The ATP assay kit made by Beyotime Biotechnology Co.,Ltd.was used to measure changes in ATP contents in the hippocampus and prefrontal cortex tissues of mice.Cell experiments were conducted to verify the effect of PBM on intracellular ATP contents.Results Mice in the stress group covered a similar distance to the control group,but finished far fewer platform crossings.There was no significant difference between the treatment group and the control group in the number of times of platform crossings,but compared favorably with the stress group where the levels of adenosine receptors in the hippocampus and prefrontal cortex were lower,but were increased by PBM.After PBM interventions in normal mice,platform crossings were increased significantly compared to the control group.PBM also raised adenosine receptor levels and ATP contents in the hippocampus and prefrontal cortex,and increased hippocampal c-Fos expressions.In vitro,PBM elevated intracellular ATP levels.Conclusion PBM may improve chronic stress-induced cognitive dysfunction by regulating ATP levels and adenosine receptor expressions,thereby modulating neuronal responsiveness in the hippocampus.

Objective:To investigate the association between serum uric acid trajectories and the risk of renal function decline and diabetic kidney disease(DKD) incidence in elderly patients with type 2 diabetes mellitus.Methods:This retrospective cohort study included 5 037 elderly patients with type 2 diabetes mellitus aged 60 years and above who underwent at least three health examinations between 2019 and 2023, with 2019 as the baseline. Latent growth mixture modeling(LGMM) was employed to identify distinct serum uric acid trajectories. Renal function changes and DKD incidence were followed from 2020 to 2023. Binary logistic regression models were used to assess the association between serum uric acid trajectories and the risks of renal function decline and DKD.Results:Two distinct serum uric acid trajectory groups were identified based on model selection criteria: A stable group( n=4 485, 89.04%) and an inverted U-shaped group( n=552, 10.96%). After adjusting for potential confounders, compared with the stable trajectory group, the inverted U-shaped group showed a significantly increased risk of estimated glomerular filtration rate(eGFR) <60 mL·min -1·(1.73 m 2) -1, ≥25% decline in eGFR, doubling of serum creatinine, and DKD events, with OR(95% CI) of 1.99(1.28-3.09), 2.27(1.65-3.13), 1.52(1.09-3.02), and 1.52(1.27-1.82), respectively(all P<0.05). In addition, multivariate analysis indicated that elevated baseline serum uric acid levels were also associated with an increased risk of adverse renal outcomes and DKD incidence; However, the magnitude of the associations was lower than that observed for serum uric acid trajectory groups. Conclusions:An inverted U-shaped serum uric acid trajectory is significantly associated with an increased risk of renal function progression and DKD in elderly patients with type 2 diabetes mellitus. These findings highlight the importance of long-term dynamic monitoring of serum uric acid levels to facilitate early identification and intervention for high-risk individuals.

Objective:To understand the epidemiological characteristics of injury deaths in local residents in Nanjing from 2009 to 2023, and provide evidence for the development of injury prevention and control strategies.Methods:The injury mortality data in Nanjing from 2009 to 2023 were analyzed based on the death cause surveillance system. In the recorded 33 542 injury death cases, 19 906 (59.35%) were men, and 13 636 (40.65%) were women. The crude mortality rate, age-standardized mortality rate, age-specific mortality rate, cause-eliminated life expectancy (CELE), potential gains in life expectancy (PGLEs) and life loss rate, were calculated. Joinpoint 5.0 software was used to estimate the average annual percentage change (AAPC) and its 95% CI to assess temporal trends of injury deaths. Results:In Nanjing, the crude injury mortality rate showed an upward trend (AAPC=2.11%), while the age-standardized mortality rate exhibited a downward trend (AAPC=-1.27%) from 2009 to 2023. The ranking of injury deaths in all causes of death declined from the 4 th in 2009 to the 6 th in 2023. The crude and age-standardized injury mortality rates in men were consistently higher than those in women. The primary cause of injury deaths was fall (31.42%). Drowning was the primary cause of injury deaths in age group 0-14 years (35.94%), while traffic accident was the primary cause in age group 15-64 years. For residents aged ≥65 years, fall was the primary cause of injury deaths. From 2009 to 2023, the CELE (AAPC=0.61%, 95% CI: 0.34%-0.89%, P<0.05) and the PGLEs (AAPC=1.73%, 95% CI: 0.21%-3.29%, P<0.05) showed increasing trends. The PGLEs and life loss rate due to injury were consistently higher in men than in women, but the AAPC of PGLEs and life loss rate was higher in women. Conclusions:From 2009 to 2023, the age-standardized injury mortality rate decreased, but the life loss due to injury deaths showed an upward trend in Nanjing, indicating that injury still has non-negligible negative impact on life expectancy.

Objective:To understand the epidemiological characteristics of injury deaths in local residents in Nanjing from 2009 to 2023, and provide evidence for the development of injury prevention and control strategies.Methods:The injury mortality data in Nanjing from 2009 to 2023 were analyzed based on the death cause surveillance system. In the recorded 33 542 injury death cases, 19 906 (59.35%) were men, and 13 636 (40.65%) were women. The crude mortality rate, age-standardized mortality rate, age-specific mortality rate, cause-eliminated life expectancy (CELE), potential gains in life expectancy (PGLEs) and life loss rate, were calculated. Joinpoint 5.0 software was used to estimate the average annual percentage change (AAPC) and its 95% CI to assess temporal trends of injury deaths. Results:In Nanjing, the crude injury mortality rate showed an upward trend (AAPC=2.11%), while the age-standardized mortality rate exhibited a downward trend (AAPC=-1.27%) from 2009 to 2023. The ranking of injury deaths in all causes of death declined from the 4 th in 2009 to the 6 th in 2023. The crude and age-standardized injury mortality rates in men were consistently higher than those in women. The primary cause of injury deaths was fall (31.42%). Drowning was the primary cause of injury deaths in age group 0-14 years (35.94%), while traffic accident was the primary cause in age group 15-64 years. For residents aged ≥65 years, fall was the primary cause of injury deaths. From 2009 to 2023, the CELE (AAPC=0.61%, 95% CI: 0.34%-0.89%, P<0.05) and the PGLEs (AAPC=1.73%, 95% CI: 0.21%-3.29%, P<0.05) showed increasing trends. The PGLEs and life loss rate due to injury were consistently higher in men than in women, but the AAPC of PGLEs and life loss rate was higher in women. Conclusions:From 2009 to 2023, the age-standardized injury mortality rate decreased, but the life loss due to injury deaths showed an upward trend in Nanjing, indicating that injury still has non-negligible negative impact on life expectancy.

Objective:To investigate the association between serum uric acid trajectories and the risk of renal function decline and diabetic kidney disease(DKD) incidence in elderly patients with type 2 diabetes mellitus.Methods:This retrospective cohort study included 5 037 elderly patients with type 2 diabetes mellitus aged 60 years and above who underwent at least three health examinations between 2019 and 2023, with 2019 as the baseline. Latent growth mixture modeling(LGMM) was employed to identify distinct serum uric acid trajectories. Renal function changes and DKD incidence were followed from 2020 to 2023. Binary logistic regression models were used to assess the association between serum uric acid trajectories and the risks of renal function decline and DKD.Results:Two distinct serum uric acid trajectory groups were identified based on model selection criteria: A stable group( n=4 485, 89.04%) and an inverted U-shaped group( n=552, 10.96%). After adjusting for potential confounders, compared with the stable trajectory group, the inverted U-shaped group showed a significantly increased risk of estimated glomerular filtration rate(eGFR) <60 mL·min -1·(1.73 m 2) -1, ≥25% decline in eGFR, doubling of serum creatinine, and DKD events, with OR(95% CI) of 1.99(1.28-3.09), 2.27(1.65-3.13), 1.52(1.09-3.02), and 1.52(1.27-1.82), respectively(all P<0.05). In addition, multivariate analysis indicated that elevated baseline serum uric acid levels were also associated with an increased risk of adverse renal outcomes and DKD incidence; However, the magnitude of the associations was lower than that observed for serum uric acid trajectory groups. Conclusions:An inverted U-shaped serum uric acid trajectory is significantly associated with an increased risk of renal function progression and DKD in elderly patients with type 2 diabetes mellitus. These findings highlight the importance of long-term dynamic monitoring of serum uric acid levels to facilitate early identification and intervention for high-risk individuals.

Objective To investigate the effect of MALAT1 expressions on cell proliferation and apoptosis in astrocytes by regulating mitogen-activated protein kinase(MAPK)/extracellular signal-regulated kinase(ERK1,2)pathway.Methods The MALAT1 gene was knocked down and over-expressed in C8-D1A cells by lentiviral and plasmid vectors,respectively.The expressions of MALAT1,cell proliferation-related markers(Ki67,MCM2,PCNA)and apoptosis-related proteins(Caspase-3,Bax,Bcl-2)were detected by quantitative real-time polymerase chain reaction(qPCR).CCK-8 assay and flow cytometry were used for cell proliferation and apoptosis in C8-D1A cells.Immunofluorescence was adopted to detect the protein expressions of Caspase-3 and Ki67.Western blotting was used to detect the protein expressions of Caspase-3,Bax,Bcl-2,ERK1/2,p-ERK1/2,p38MAPK and p-p38MAPK.Results Compared with the control group,over-expressed MALAT1 inhibited cell proliferation and induced cell apoptosis in C8-D1A cells while the knockdown of MALAT1 significantly enhanced cell proliferation and anti-apoptotic ability in C8-D1A cells.The proportion of C8-D1A cells in G0/G1-phase and G2/M-phase was higher than in the control group as evidenced by flow cytometry,but was lower in S-phase.Meanwhile,data showed that Caspase-3 was increased while p-ERK1/2 was decreased in terms of protein levels.The mRNA expressions of Ki67 and PCNA were decreased.After knockdown of MALAT1,the proportion of C8-D1A cells in S-phase was higher,but was lower in G2/M-phase.The protein expressions of Caspase-3 and Bax decreased while those of p-ERK1/2 and p-p38MAPK increased.The mRNA expressions of Ki67,MCM2 and PCNA were increased.The differences were all statistically significant(P＜0.05).Conclusion MALAT1 promotes astrocyte apoptosis and inhibits proliferation by regulating the MAPK/ERK1,2 signaling pathway.

Currently, the types of kidney stones before surgery are mainly identified by human beings, which directly leads to the problems of low classification accuracy and inconsistent diagnostic results due to the reliance on human knowledge. To address this issue, this paper proposes a framework for identifying types of kidney stones based on the combination of radiomics and deep learning, aiming to achieve automated preoperative classification of kidney stones with high accuracy. Firstly, radiomics methods are employed to extract radiomics features released from the shallow layers of a three-dimensional (3D) convolutional neural network, which are then fused with the deep features of the convolutional neural network. Subsequently, the fused features are subjected to regularization, least absolute shrinkage and selection operator (LASSO) processing. Finally, a light gradient boosting machine (LightGBM) is utilized for the identification of infectious and non-infectious kidney stones. The experimental results indicate that the proposed framework achieves an accuracy rate of 84.5% for preoperative identification of kidney stone types. This framework can effectively distinguish between infectious and non-infectious kidney stones, providing valuable assistance in the formulation of preoperative treatment plans and the rehabilitation of patients after surgery.
Humans ; Kidney Calculi/classification* ; Deep Learning ; Neural Networks, Computer ; Tomography, X-Ray Computed ; Imaging, Three-Dimensional ; Radiomics

Objective:To investigate the prognostic value of texture analysis of MRI diffusion weighted imaging (DWI) for neonatal hypoglycemic encephalopathy (HE).Methods:The clinical data and MRI data of 119 patients with neonatal HE admitted to Children′s Hospital of Nanjing Medical University from July 2013 to September 2020 were retrospectively analyzed. The children were followed up to 7—8 months and scored by Bayley scales of infant and toddler development. According to the overall development index, the children were divided into three groups: normal group (≥85, group A, n=42), mild developmental retardation group (70－84, group B, n=46) and developmental retardation group (≤69, group C, n= 31). The whole brain region (except sulcus and cisterna) was delineated as region of interest (ROI) by LIFEx 3.4 software in MRI apparent diffusion coefficient images. A total of 37 parameters were calculated automatically by the software, The clinical data, including gender, gestational age, age at MRI scan, birth weight, mode of delivery, history of asphyxia at birth, maternal preeclampsia or diabetes, minimum blood glucose, duration of hypoglycemia, neonatal behavioral neurological assessment (NBNA), presence or absence of polycythemia); the texture parameters, including histogram, volume, gray level co-occurrence matrix (GLCM), gray level run length matrix (GLRLM), neighborhood gray tone difference matrix (NGTDM), gray level size zone matrix (GLSZM), in the three groups were analyzed; and the diagnostic efficacy of clinical parameters and texture parameters was analyzed. Multivariate Logistic regression was used to analyze statistically significant clinical parameters and texture parameters, and receiver operating characteristic curve (ROC) was used to evaluate the prognostic efficacy of these parameter for neonatal HE. Results:There were no significant differences in gender, gestational age, age at MRI scan, delivery mode and blood glucose minimum among the three groups ( P>0.05). There were significant differences in birth weight [(3 150±130)g, (3 020±220)g, (2 880±140)g, F=-0.31, P=0.015], history of suffocation (10 cases, 18 cases, 20 cases, P=0.001), history of maternal diabetes or preeclampsia (14 cases, 29 cases, 21 cases, P=0.002), blood glucose duration [(5.0±0.2)d, (8.0±0.4)d, (14.0±1.7)d, F=-3.09, P=0.030] and NBNA scores (32.0±3.2, 28.0±2.6, 22.0±1.9, F=-4.21, P=0.010) among three groups. There were significant differences in kurtosis and entropy of histogram (2.57±1.12, 3.66±0.98, 4.23±0.37, F=3.54, P=0.010;5.89±1.09, 7.67±2.12, 8.92±1.62, F=-4.42, P=0.020); energy, contrast and dissimilarity of GLCM (0.48±0.01, 0.36±0.02, 0.23±0.01, F=-3.12, P=0.001;2 419±21, 3 354±31, 4 313±26, F=-4.16, P=0.020;126±14, 153±23, 344±43, F=-3.50, P<0.001); long run emphasis of GLRLM (0.78±0.15, 1.12±0.12, 1.76±0.31, F=-4.13, P=0.006), run length non-uniformity and run percentage (71.7±13.9, 96.6±10.7, 104.1±13.5, F=-0.98, P=0.001;0.91±0.05, 0.84±0.21, 0.72±0.17, F=2.97, P=0.010); coarseness and busyness of NGTDM [0.09±0.01, 0.13±0.03, 0.26±0.07, F=-1.95, P=0.003;0.16(0.04, 4.14), 0.32(0.05, 9.84), 0.45(0.15, 10.14), H=-3.24, P=0.030], short-zone emphasis and short-zone high gray length emphasis of GLSZM (4.74±0.45, 3.44±1.03, 1.88±0.67, F=-3.14, P=0.040; 278 963±239, 164 607±544, 111 653±618, F=-3.84, P=0.001) among three groups. Multivariate Logistic regression showed that duration of hypoglycemia, NBNA score, energy, kurtosis, run percentage and short zone effect were independent risk factors for poor prognosis of neonatal HE ( OR=7.43, 4.09, 1.10, 2.11, 1.36, 1.68, P=0.002, 0.027, 0.001, 0.006, 0.007, 0.010, respectively). ROC curve showed that for combined hypoglycemic duration, NBNA and texture parameters, the area under the curve (AUC) was the highest (AUC=0.94, P<0.001). Conclusion:Texture analysis of the MRI diffusion weighted imaging can predict the prognosis of neonatal hypoglycemic encephalopathy at an early stage, which has better prediction efficiency when combined with clinical features.

Cultivating salt-alkali tolerant rice varieties is one of the important ways to meet the increasing food demand of growing global population. In this study, twenty-one rice germplasms with different salt-alkali tolerance were treated with six salt-alkali concentrations at germination and seedling stages. The germination potential, germination rate, shoot length, root length, root number, fresh weight of shoot and seedlings were measured. The average value of salt damage rate was used to evaluate the salt-alkali tolerance. As the salt-alkali concentration increases, the inhibition on seed germination and growth became more obvious. Upon treatment with 1% NaCl plus 0.25% NaHCO₃, the salt damage rate of germination rate has the largest variation, ranging from 0% to 89.80%. The salt damage rate of each trait shows a similar trend at all concentrations. Four germplasm resources with strong salt-alkali tolerance (Dajiugu, Nippobare, Mowanggu and 02428) and 7 sensitive germplasms were screened. The salt-tolerant gene sequence of 4 salt-alkali tolerant varieties and 3 sensitive germplasms were analyzed. OSHAL3 and OsRR22 were identical among the 7 germplasms, but SKC1 and DST showed clear variations between the salt-alkali tolerant and sensitive germplasms. Besides the salt-alkali tolerant germplasm resources, this study can also serve as a reference for mining of genes involved in salt-alkali tolerance and breeding of salt-alkali tolerant rice varieties.
Alkalies ; Germination ; Oryza/genetics* ; Plant Breeding ; Seedlings/genetics*