Diabetic cardiomyopathy (DCM) is a medical condition characterized by cardiac remodeling and dysfunction in individuals with diabetes mellitus. Sarcoplasmic reticulum (SR) and mitochondrial Ca²⁺ overload in cardiomyocytes have been recognized as biological hallmarks in DCM; however, the specific factors underlying these abnormalities remain largely unknown. In this study, we aimed to investigate the role of a cardiac-specific long noncoding RNA, D830005E20Rik (Trdn-as), in DCM. Our results revealed the remarkably upregulation of Trdn-as in the hearts of the DCM mice and cardiomyocytes treated with high glucose (HG). Knocking down Trdn-as in cardiac tissues significantly improved cardiac dysfunction and remodeling in the DCM mice. Conversely, Trdn-as overexpression resulted in cardiac damage resembling that observed in the DCM mice. At the cellular level, Trdn-as induced Ca²⁺ overload in the SR and mitochondria, leading to mitochondrial dysfunction. RNA-seq and bioinformatics analyses identified calsequestrin 2 (Casq2), a primary calcium-binding protein in the junctional SR, as a potential target of Trdn-as. Further investigations revealed that Trdn-as facilitated the recruitment of METTL14 to the Casq2 mRNA, thereby enhancing the m⁶A modification of Casq2. This modification increased the stability of Casq2 mRNA and subsequently led to increased protein expression. When Casq2 was knocked down, the promoting effects of Trdn-as on Ca²⁺ overload and mitochondrial damage were mitigated. These findings provide valuable insights into the pathogenesis of DCM and suggest Trdn-as as a potential therapeutic target for this condition.
Animals ; Diabetic Cardiomyopathies/pathology* ; RNA, Long Noncoding/genetics* ; Myocytes, Cardiac/metabolism* ; Mice ; Calsequestrin/genetics* ; Calcium/metabolism* ; Male ; Sarcoplasmic Reticulum/metabolism* ; Methyltransferases/metabolism* ; Mice, Inbred C57BL ; Mitochondria, Heart/metabolism* ; Disease Models, Animal ; Mitochondria/metabolism*

Objective: To investigate the effects of poor sitting postures on muscle fatigue in schoolage children, so as to provide evidence for developing healthy sitting guidelines. Methods: In May 2024,30 children aged 6-12 were recruited from Changping District in Beijing. A combination of surface electromyography (sEMG) and psychophysical scales were used to assess muscle fatigue at varying deviation angles under four sitting postures (forward head tilt, lateral head tilt, uneven shoulder height, and forward trunk inclination). Oneway ANOVA and LSD post hoc multiple comparisons were employed to analyze the differences in electromyographic (EMG) data among various deviation angles under different sitting postures. Results: The mean integrated electromyography (IEMG) of representative muscles showed statistically significant differences (P<0.05) across deviation angles in all postures, with muscle fatigue worsening as deviation angles increased. Forward head tilt:significant IEMG differences were observed in the left/right sternocleidomastoid and left/right splenius capitis (F=13.74, 13.21, 5.43, 6.11,P<0.05). Lateral head tilt:significant differences were found in the right sternocleidomastoid muscle (SCM), right splenius capitis, and left trapezius (F=5.13, 4.73, 12.13, P<0.05). Uneven shoulder height:significant differences occurred in the right SCM, bilateral splenius capitis, and left trapezius (F=12.46, 12.56, 32.49, 5.98, P<0.05).Forward trunk inclination, significant differences were identified in the left/right SCM, left/right splenius capitis, and left/right lumbar muscles (F=4.45, 9.84, 14.49, 26.44, 8.02, 18.34, P<0.01). Temporal analysis revealed varying fatigue onset times across postures:severe fatigue occurred earlier in lateral head tilt and forward trunk inclination, while excessive forward head tilt, lateral head tilt, and uneven shoulder postures predominantly induced mild to moderate fatigue. Conclusions Under different sitting postures, both the integrated IEMG of relevant muscles and subjective evaluations in schoolaged children increase with greater postural deviattion. Head tilt and trunkleaning postures require particular intervention, with emphasis on unevenshoulder alignment and trunk inclination control.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective:To evaluate the efficacy and safety of endoscopic variceal ligation (EVL) of esophageal varices combined with endoscopic variceal intensive ligation (EVIL) of gastric varices for gastroesophageal variceal bleeding with liver cirrhosis under non-emergency settings.Methods:Data of 643 consecutive patients with gastroesophageal variceal bleeding due to liver cirrhosis admitted to the Department of Gastroenterology, Henan Provincial People's Hospital from January 2017 to March 2023 were included in the retrospective study. A total of 192 patients were included after excluding 451 patients. One hundred and forty-nine patients who underwent EVL of esophageal varices combined with EVIL of gastric varices were enrolled into the EVIL group, while 43 patients who underwent EVL of esophageal varices combined with endoscopic tissue adhesive injection (ETAI) of gastric varices were enrolled into the ETAI group. The endoscopic treatment success rate, esophageal variceal ligations number, operation time of endoscopic treatment, hospitalization time, rebleeding rate, mortality and the incidence of adverse events were compared between the two groups.Results:Compared with the ETAI group, the EVIL group exhibited significantly higher endoscopic treatment success rate [100.0% (149/149) VS 95.3% (41/43), P=0.049], slightly greater esophageal variceal ligations number [8 (6, 11) rings VS 7 (6, 9) rings, Z=-1.29, P=0.196], shorter operation time of endoscopic treatment [27.0 (20.5, 34.0) min VS 36.0 (21.0, 51.0) min, Z=-2.30, P=0.021], and significantly shorter hospitalization time [10 (7, 13) d VS 13 (9, 15) d, Z=-3.02, P=0.003]. The rebleeding rate within 24, 72, 120 hours after the operation, early, delayed and total rebleeding in the EVIL group were 0.0% (0/149), 0.0% (0/149), 0.7% (1/149), 2.0% (3/149), 12.8% (19/149) and 14.8% (22/149) respectively, and 4.7% (2/43) ( P=0.049), 9.3% (4/43) ( P=0.002), 9.3% (4/43) ( χ2=6.69, P=0.010), 4.7% (2/43) ( χ2=0.17, P=0.679), 30.2% (13/43) ( χ2=7.34, P=0.007) and 44.2% (19/43) ( χ2=17.20, P<0.001) in the ETAI group, respectively. No death related to rebleeding occurred within 6 weeks after the operation in 2 groups. The mortality related to rebleeding within 1 year after the operation and during the follow-up period in the EVIL group were 1.3% (2/149) and 3.4% (5/149) respectively, and 0.0% (0/43) ( P=1.000) and 2.3% (1/43) ( χ2=0.02, P=0.876) in the ETAI group, respectively. The incidences of fever, chest pain, nausea or vomiting in the EVIL group were 12.1% (18/149), 14.1% (21/149) and 13.4% (20/149) respectively, and 11.6% (5/43) ( χ2=0.01, P=0.936), 16.3% (7/43) ( χ2=0.13, P=0.721) and 18.6% (8/43) ( χ2=0.72, P=0.396) in the ETAI group, respectively. Two patients (1.3%) in the EVIL group had gastric variceal ring loss. Ectopic embolism occurred in 1 patient (2.3%) in the ETAI group. Conclusion:For patients with gastroesophageal variceal bleeding due to liver cirrhosis who are suitable for non-emergency endoscopic treatment, EVL of esophageal varices combined with EVIL of gastric varices is also safe, and more effective than EVL of esophageal varices combined with ETAI of gastric varices. This approach offers improved treatment success rate, reduced operation and hospitalization time, lower rebleeding rates, and decreased rebleeding-related mortality.

Ochratoxin A (OTA) is ubiquitous in the food and feed fields. It has strong hepatotoxicity and nephrotoxicity, seriously threatening the health of humans and animals. Enzymatic degradation of mycotoxins is considered to be a promising method to control mycotoxin contaminations. In this study, a new ochratoxin A amidohydrolase from Microbulbifer thermotolerans (MiADH) was obtained. After heterologous expression in Escherichia coli and purification, the recombinant protein was studied regarding the hydrolysis activity, hydrolysis products, enzymatic properties, and substrate binding mode. MiADH can degrade OTA into ochratoxin α (OTα) and phenylalanine, demonstrating a detoxifying ability. It demonstrated the best performance at 70 ℃ and pH 8.0, and Cu²⁺ had the strongest inhibitory effect on the activity of MiADH. MiADH with good thermal stability exhibited huge potential for industrial application. Rational design guided by three-dimensional structural models and substrate docking analysis revealed the important amino acids affecting substrate binding and obtained multiple mutants with improved activity. Among these mutants, V324A had the highest activity, which was 4.2-fold that of the wild type. The identification of MiADH enriches the ochratoxin A degradation enzyme library and provides a new candidate enzyme for the biological detoxification of ochratoxin A in the food and feed industry.
Amidohydrolases/chemistry* ; Ochratoxins/metabolism* ; Substrate Specificity ; Escherichia coli/metabolism* ; Recombinant Proteins/metabolism* ; Actinomycetales/genetics*

[Objective] To investigate and summarize the clinicopathological features, diagnosis, treatment and prognosis of adrenocortical carcinoma with rhabdoid features. [Methods] The clinical diagnosis and treatment of a case of adrenocortical carcinoma with rhabdoid features admitled to Department of Urology, Weifang People's Hospital were reported.The clinical manifestations, pathological features, diagnosis and prognosis of the disease were analyzed in combination with relevant literature. [Results] A 34-year-old male patient was admitted due to scrotal distension and pain that had persisted for 6 months.Imaging examination showed a huge soft tissue tumor in the left adrenal region of the retroperitoneum with compression displacement of the left kidney, leading to obstruction of venous return in the left spermatic vein, which in turn caused varicose veins.The levels of serum renin, angiotensin, aldosterone, cortisol, and catecholamine were within normal ranges.Surgical resection of the tumor was performed, and postoperative pathological examination revealed that the tumor tissue was predominantly composed of rhabdoid cells, exhibiting positive immunohistochemical staining for INI 1, Syn, Calretinin and Vimentin.Genetic testing did not identify any deletion of SMARCB1 and SMARCA4 mutations.Therefore, the diagnosis was adrenocortical carcinoma with rhabdoid features.At the current 20-month follow-up, no recurrence or metastasis was observed.A review of the literature found that only 7 cases of this disease had been reported. [Conclusion] Adrenocortical carcinoma with rhabdoid features is a rare disease, and a definitive diagnosis is dependent upon pathological examination.Surgical resection remains the primary treatment.Long-term follow-up is essential, and further research is needed to evaluate the impact of adjuvant therapy.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective:To evaluate the efficacy and safety of endoscopic variceal ligation (EVL) of esophageal varices combined with endoscopic variceal intensive ligation (EVIL) of gastric varices for gastroesophageal variceal bleeding with liver cirrhosis under non-emergency settings.Methods:Data of 643 consecutive patients with gastroesophageal variceal bleeding due to liver cirrhosis admitted to the Department of Gastroenterology, Henan Provincial People's Hospital from January 2017 to March 2023 were included in the retrospective study. A total of 192 patients were included after excluding 451 patients. One hundred and forty-nine patients who underwent EVL of esophageal varices combined with EVIL of gastric varices were enrolled into the EVIL group, while 43 patients who underwent EVL of esophageal varices combined with endoscopic tissue adhesive injection (ETAI) of gastric varices were enrolled into the ETAI group. The endoscopic treatment success rate, esophageal variceal ligations number, operation time of endoscopic treatment, hospitalization time, rebleeding rate, mortality and the incidence of adverse events were compared between the two groups.Results:Compared with the ETAI group, the EVIL group exhibited significantly higher endoscopic treatment success rate [100.0% (149/149) VS 95.3% (41/43), P=0.049], slightly greater esophageal variceal ligations number [8 (6, 11) rings VS 7 (6, 9) rings, Z=-1.29, P=0.196], shorter operation time of endoscopic treatment [27.0 (20.5, 34.0) min VS 36.0 (21.0, 51.0) min, Z=-2.30, P=0.021], and significantly shorter hospitalization time [10 (7, 13) d VS 13 (9, 15) d, Z=-3.02, P=0.003]. The rebleeding rate within 24, 72, 120 hours after the operation, early, delayed and total rebleeding in the EVIL group were 0.0% (0/149), 0.0% (0/149), 0.7% (1/149), 2.0% (3/149), 12.8% (19/149) and 14.8% (22/149) respectively, and 4.7% (2/43) ( P=0.049), 9.3% (4/43) ( P=0.002), 9.3% (4/43) ( χ2=6.69, P=0.010), 4.7% (2/43) ( χ2=0.17, P=0.679), 30.2% (13/43) ( χ2=7.34, P=0.007) and 44.2% (19/43) ( χ2=17.20, P<0.001) in the ETAI group, respectively. No death related to rebleeding occurred within 6 weeks after the operation in 2 groups. The mortality related to rebleeding within 1 year after the operation and during the follow-up period in the EVIL group were 1.3% (2/149) and 3.4% (5/149) respectively, and 0.0% (0/43) ( P=1.000) and 2.3% (1/43) ( χ2=0.02, P=0.876) in the ETAI group, respectively. The incidences of fever, chest pain, nausea or vomiting in the EVIL group were 12.1% (18/149), 14.1% (21/149) and 13.4% (20/149) respectively, and 11.6% (5/43) ( χ2=0.01, P=0.936), 16.3% (7/43) ( χ2=0.13, P=0.721) and 18.6% (8/43) ( χ2=0.72, P=0.396) in the ETAI group, respectively. Two patients (1.3%) in the EVIL group had gastric variceal ring loss. Ectopic embolism occurred in 1 patient (2.3%) in the ETAI group. Conclusion:For patients with gastroesophageal variceal bleeding due to liver cirrhosis who are suitable for non-emergency endoscopic treatment, EVL of esophageal varices combined with EVIL of gastric varices is also safe, and more effective than EVL of esophageal varices combined with ETAI of gastric varices. This approach offers improved treatment success rate, reduced operation and hospitalization time, lower rebleeding rates, and decreased rebleeding-related mortality.