A ketogenic diet(KD)refers to an eating pattern designed to achieve a low-calorie content,minimum carbohydrate intake,high-fat consumption,and standard protein levels.A ketogenic diet is used in clinical practice to treat conditions including heart disease,diabetes,obesity,autism,glioblastoma,and other cancers.Although a ketogenic diet has not been recommended for any neurological disorders except epilepsy,extensive recent research suggests that such a diet may have a neuroprotective effect and may thus represent a new dietary therapy for the treatment of Parkinson's disease(PD).In this review,we discuss in detail the mechanisms responsible for the neuroprotective effects of a ketogenic diet in Parkinson's disease,with the aim of providing references for future clinical and experimental studies.

Purpose To explore the predictive value of CT-enhanced for tumor mutation burden(TMB)in hepatocellular carcinoma(HCC).Materials and Methods A total of 22 patients with pathologically confirmed HCC after undergoing radical resection in the First Affiliated Hospital,Army Medical University(Third Military Medical University)from January 2020 to January 2023 were collected,all of whom were quantified for TMB.Clinical,laboratory tests,CT imaging characteristics and follow-up of patients were recorded.Variables with P<0.2 were screened by stepwise regression analysis for independent risk factors for TMB.The area under the curve of receiver operating characteristic was used to assess the diagnostic efficacy.Results High TMB level was a risk factor for disease-free survival after HCC surgery(HR=1.115,P<0.05).According to the optimal cut-off value,TMB was classified into a high-risk group(>9.25 mutation/Mb)and low-risk group(≤9.25 mutation/Mb).Univariate analysis of intratumor ischemia or necrosis was statistically different between the high-risk and low-risk groups(P=0.005),and only intratumor ischemia or necrosis was an independent risk factor for predicting high TMB level by stepwise regression analysis(P<0.05).The area under the curve for predicting disease-free survival was 0.833(95%CI 0.615-0.956,P<0.001),with a sensitivity of 100.0%and a specificity of 66.7%.Conclusion High TMB level is associated with poor prognosis after HCC resection.Intratumor ischemia or necrosis have certain clinical value in predicting high TMB level,and are expected to provide a reference basis for personalized diagnosis and treatment of HCC patients.

A ketogenic diet(KD)refers to an eating pattern designed to achieve a low-calorie content,minimum carbohydrate intake,high-fat consumption,and standard protein levels.A ketogenic diet is used in clinical practice to treat conditions including heart disease,diabetes,obesity,autism,glioblastoma,and other cancers.Although a ketogenic diet has not been recommended for any neurological disorders except epilepsy,extensive recent research suggests that such a diet may have a neuroprotective effect and may thus represent a new dietary therapy for the treatment of Parkinson's disease(PD).In this review,we discuss in detail the mechanisms responsible for the neuroprotective effects of a ketogenic diet in Parkinson's disease,with the aim of providing references for future clinical and experimental studies.

Purpose To explore the predictive value of CT-enhanced for tumor mutation burden(TMB)in hepatocellular carcinoma(HCC).Materials and Methods A total of 22 patients with pathologically confirmed HCC after undergoing radical resection in the First Affiliated Hospital,Army Medical University(Third Military Medical University)from January 2020 to January 2023 were collected,all of whom were quantified for TMB.Clinical,laboratory tests,CT imaging characteristics and follow-up of patients were recorded.Variables with P<0.2 were screened by stepwise regression analysis for independent risk factors for TMB.The area under the curve of receiver operating characteristic was used to assess the diagnostic efficacy.Results High TMB level was a risk factor for disease-free survival after HCC surgery(HR=1.115,P<0.05).According to the optimal cut-off value,TMB was classified into a high-risk group(>9.25 mutation/Mb)and low-risk group(≤9.25 mutation/Mb).Univariate analysis of intratumor ischemia or necrosis was statistically different between the high-risk and low-risk groups(P=0.005),and only intratumor ischemia or necrosis was an independent risk factor for predicting high TMB level by stepwise regression analysis(P<0.05).The area under the curve for predicting disease-free survival was 0.833(95%CI 0.615-0.956,P<0.001),with a sensitivity of 100.0%and a specificity of 66.7%.Conclusion High TMB level is associated with poor prognosis after HCC resection.Intratumor ischemia or necrosis have certain clinical value in predicting high TMB level,and are expected to provide a reference basis for personalized diagnosis and treatment of HCC patients.

Parkinson's disease is a neurodegenerative disease associated with abnormal copper metabolism in the brain,which leads to misfolding and aggregation of α-synuclein-copper complexes,which is an important pathological sign of Parkinson's disease.Copper metabolism,i.e.,cellular metabolic processes involving copper ions,is closely related to the pathogenesis of α-synuclein aggregation,dopamine metabolism,mitochondrial dysfunction,oxidative stress,and ferroptosis in Parkinson's disease.In this review,we summarize the molecular metabolic mechanism of copper toxicity by studying the pathological role of copper metabolism in Parkinson's disease,to support our further understanding of the mechanism of action and drug development.

Parkinson's disease(PD)is a neurodegenerative disease that primarily affects middle-aged and older adults.Its main clinical manifestations include resting tremor,bradykinesia,myotonia,and balance disorders.Berberine is a naturally occurring isoquinoline alkaloid.Several studies over the previous decade have reported that berberine plays a crucial role in the pathophysiologic processes of a range of diseases,including playing an active role in the development of PD via different pathways.This paper systematically reviews the mechanism of action of berberine in the prevention and treatment of PD and the current status of research,to provide references for the future clinical application of berberine for the treatment of PD.

Parkinson's disease(PD)is a neurodegenerative disease that primarily affects middle-aged and older adults.Its main clinical manifestations include resting tremor,bradykinesia,myotonia,and balance disorders.Berberine is a naturally occurring isoquinoline alkaloid.Several studies over the previous decade have reported that berberine plays a crucial role in the pathophysiologic processes of a range of diseases,including playing an active role in the development of PD via different pathways.This paper systematically reviews the mechanism of action of berberine in the prevention and treatment of PD and the current status of research,to provide references for the future clinical application of berberine for the treatment of PD.

Objective:To explore the predictive value of low-dose biphasic (inspiratory and expiratory) CT air trapping sign and semi-quantitative score in predicting abnormal blood gas parameters and progression to severe disease in COVID-19 patients.Methods:Patients with non-severe COVID-19 who were diagnosed by nucleic acid testing and hospitalized in designated hospitals in Wuxi City from January 23 to February 29, 2020 were prospectively and consecutively recruited. All patients received low-dose biphasic CT examination on admission and repeated CT examination at regular intervals during the course. On the inspiratory phase admission of the bipolar CT, the scope of the lesion was evaluated by semi-quantitative score, and the air trapping sign on bipolar CT was assessed. The differences of semi-quantitative score, the presence of the air trapping sign and other clinical factors were compared between the patients with abnormal and the normal blood gas index, as well as between the cases progressed to severe disease and cases without disease progression using the independent sample t-test or χ 2 test. The area under the curve (AUC) of receiver operating characteristic (ROC) and the comprehensive discriminant improvement index (IDI) were used to evaluate the predictive effectiveness of the semi-quantitative scores, air trapping sign, and combination of two factors in differentiating cases with abnormal and normal blood gas indexes, as well as in differentiating cases with and without disease progression to severe COVID-19 cases. Results:In total 51 non-severe COVID-19 cases were included, with 16 cases showed air trapping sign during the first biphasic CT examination on admission. During the course of the disease, there were 13 patients with abnormal blood gas index, and 9 cases displaying air trapping sign (9/13). All 7 cases with progression to severe cases showed air trapping sign (7/7). Patients with advanced age, air trapping sign and higher semi-quantitative score were found more likely to have abnormal blood gas index ( t=3.10, χ 2=9.38, t=3.34, P<0.05); patients with advanced age, underlying diseases, air trapping sign and higher semi-quantitative score were more likely to develop into severe disease ( t=2.68, χ 2=6.65, χ 2=4.25, t=4.33, P<0.05). The AUC of semi-quantitative score, air trapping sign and combination of two factors in distinguishing abnormal blood gas index from normal blood gas index was 0.803, 0.754 and 0.794 respectively. The AUC of semi-quantitative score, air trapping sign and combination of two factors in distinguishing cases with progression to severe cases from non-progression was 0.881, 0.898 and 0.932, respectively. Air trapping sign combined with semi-quantitative score significantly improved the prediction effectiveness of disease progression, compared with semi-quantitative score or air trapping sign (IDI=0.271, 0.117). Conclusion:Air trapping sign and semi-quantitative score might be used as effective indicators to predict the progression of COVID-19 cases, and the combination of these two factors might be more helpful to predict the disease progression.

Acute kidney injury (AKI), characterized by acute renal dysfunction, is an increasingly common clinical problem and an important risk factor in the subsequent development of chronic kidney disease (CKD). Regardless of the initial insults, the progression of CKD after AKI involves multiple types of cells, including renal resident cells and immune cells such as macrophages. Recently, the involvements of macrophages in AKI-to-CKD transition have garnered significant attention. Furthermore, substantial progress has also been made in elucidating the pathophysiological functions of macrophages from the acute kidney to repair or fibrosis. In this review, we highlight current knowledge regarding the roles and mechanisms of macrophage activation and phenotypic polarization, and transdifferentiation in the development of AKI-to-CKD transition. In addition, the potential of macrophage-based therapy for preventing AKI-to-CKD transition is also discussed.
Acute Kidney Injury/drug therapy* ; Disease Progression ; Humans ; Kidney ; Macrophages ; Renal Insufficiency, Chronic

Background Diabetes mellitus is a major public health issue at present. Previous studies have shown that ambient air pollution is a risk factor for diabetes. Objective This study aims to explore the acute effects of ambient air pollution on diabetes related death in Shanghai Jing’an District. Methods Daily air pollution data, meteorological data, and diabetes related mortality data in 2013−2019 in Shanghai Jing’an District were collected. A generalized additive model (GAM) was established to conduct time-series analysis on the short-term effect of ambient air pollution on diabetes related mortality, and gender- and age-stratified analysis on susceptibility of various groups to ambient air pollution exposures. Results For every 10 μg·m⁻³ increase of the concentrations of PM_2.5, PM₁₀, SO₂, and NO₂, the diabetes related mortality increased by 2.47% (95%CI: 1.56%−3.38%), 2.02% (95%CI: 1.29%−2.75%), 5.75% (95%CI: 2.99%−8.58%), and 3.93% (95%CI: 2.49%−5.39%) at lag05 respectively (P<0.05). In the stratified analysis, exposures to increased concentrations of PM_2.5, PM₁₀, SO₂, and NO₂ raised the mortality risks from diabetes in male, female, and ≥65 years oldgroups (P<0.05). However, the differences in mortality risks from diabetes due to air pollution within gender and age groups were statistically insignificant. Conclusion In Shanghai Jing'an District, the elevated levels of ambient air pollutants, including PM_2.5, PM₁₀, SO₂, and NO₂, are significantly associated with the increase of diabetes related mortality, and there are lag effects and cumulative effects. The ≥65 years olds are more susceptible to the impact of air pollution on diabetes related deaths.