Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Electroencephalogram (EEG) is a non-invasive, high temporal-resolution technique for monitoring brain activity. However, affected by the volume conduction effect, EEG has a low spatial resolution and is difficult to locate brain neuronal activity precisely. The surface Laplacian (SL) technique obtains the Laplacian EEG (LEEG) by estimating the second-order spatial derivative of the scalp potential. LEEG can reflect the radial current activity under the scalp, with positive values indicating current flow from the brain to the scalp (“source”) and negative values indicating current flow from the scalp to the brain (“sink”). It attenuates signals from volume conduction, effectively improving the spatial resolution of EEG, and is expected to contribute to breakthroughs in neural engineering. This paper provides a systematic overview of the principles and development of SL technology. Currently, there are two implementation paths for SL technology: current source density algorithms (CSD) and concentric ring electrodes (CRE). CSD performs the Laplace transform of the EEG signals acquired by conventional disc electrodes to indirectly estimate the LEEG. It can be mainly classified into local methods, global methods, and realistic Laplacian methods. The global method is the most commonly used approach in CSD, which can achieve more accurate estimation compared with the local method, and it does not require additional imaging equipment compared with the realistic Laplacian method. CRE employs new concentric ring electrodes instead of the traditional disc electrodes, and measures the LEEG directly by differential acquisition of the multi-ring signals. Depending on the structure, it can be divided into bipolar CRE, quasi-bipolar CRE, tripolar CRE, and multi-pole CRE. The tripolar CRE is widely used due to its optimal detection performance. While ensuring the quality of signal acquisition, the complexity of its preamplifier is relatively acceptable. Here, this paper introduces the study of the SL technique in resting rhythms, visual-related potentials, movement-related potentials, and sensorimotor rhythms. These studies demonstrate that SL technology can improve signal quality and enhance signal characteristics, confirming its potential applications in neuroscientific research, disease diagnosis, visual pathway detection, and brain-computer interfaces. CSD is frequently utilized in applications such as neuroscientific research and disease detection, where high-precision estimation of LEEG is required. And CRE tends to be used in brain-computer interfaces, that have stringent requirements for real-time data processing. Finally, this paper summarizes the strengths and weaknesses of SL technology and envisages its future development. SL technology boasts advantages such as reference independence, high spatial resolution, high temporal resolution, enhanced source connectivity analysis, and noise suppression. However, it also has shortcomings that can be further improved. Theoretically, simulation experiments should be conducted to investigate the theoretical characteristics of SL technology. For CSD methods, the algorithm needs to be optimized to improve the precision of LEEG estimation, reduce dependence on the number of channels, and decrease computational complexity and time consumption. For CRE methods, the electrodes need to be designed with appropriate structures and sizes, and the low-noise, high common-mode rejection ratio preamplifier should be developed. We hope that this paper can promote the in-depth research and wide application of SL technology.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Objective To analyze the factors affecting the prognosis of patients with knee osteoarthritis,and to construct a nomogram prediction model in conjunction with multi-dimensional clinical indicators.Methods The clinical data of 234 pa-tients with knee osteoarthritis who were treated in our hospital from January 2015 to June 2021 were retrospectively analyzed,including 126 males and 108 females;age more than 60 years old for 135 cases,age less than 60 years old for 99 cases.Lysholm knee function score was used to evaluate the prognosis of the patients,and the patients were divided into good progno-sis group for 155 patients and poor prognosis group for 79 patients according to the prognosis.The clinical data of the subjects in the experimental cohort were analyzed by single factor and multiple factors.The patients were divided into experimental co-hort and verification cohort,the results of the multiple factor analysis were visualized to obtain a nomogram prediction model,the receiver operating characteristic curve(ROC),calibration curve and decision curve were used to evaluate the model's dis-crimination,accuracy and clinical benefit rate.Results The results of multivariate analysis showed that smoking,pre-treatment K-L grades of Ⅲto Ⅳ,and high levels of interleukin 6(IL-6)and matrix metallo proteinase-3(MMP-3)were risk factors for the prognosis of patients with knee osteoarthritis.ROC test results showed that the area under the curve of the nomogram model in the experimental cohort and validation cohort was 0.806[95％CI(0.742,0.866)]and 0.786[(95％CI(0.678,0.893)],re-spectively.The results of the calibration curve showed that the Brier values of the experimental cohort and verification cohort were 0.151 points and 0.134 points,respectively.When the threshold probability value in the decision curve was set to 31％,the clinical benefit rates of the experimental cohort and validation cohort were 51％and 56％,respectively.Conclusion The prognostic model of patients with knee osteoarthritis constructed based on multi-dimensional clinical data has both theoretical and practical significance,and can provide a reference for taking targeted measures to improve the prognosis of patients.

Objective To compare the effects of different dose prediction models of sufentanil in elderly hip arthroplasty with ultrasound-guided bow tie fascia iliac block.Methods A total of 90 elderly patients who underwent ultrasound-guided bow tie fascia iliac during hip arthroplasty in our hospital from June 2018 to June 2022 were selected.The dose of sufentanil was determined by a linear regression(ALR),multiple linear regression(MLR)or deep belief networks(DBN).Patients were randomly divided into the ALR group,the MLR group and the DBN group,with 30 cases in each group.The analgesic effect,hemodynamic index,inflammatory factor level and surgical index were compared among all groups.Kaplan-Meier method was used to analyze the incidence of hip infection 2 weeks after surgery in each group.Results There was no significant difference in the gender,age,body weight,American Society of Anesthesiologists(ASA)classification or complications among all groups(P>0.05).The Harris score 24 hours after surgery and duration of sensory block in the DBN group were higher/longer than those in the ALR group,numerical rating scale(NRS)score 24 hours after surgery,mean arterial pressure(MAP)and heart rate(HR)at the beginning of surgery and 30 minutes after surgery,levels of interleukin-17(IL-17)and tumor necrosis factor-α(TNF-α)24 hours after surgery,onset time of sensory block,and number of patient controlled analgesia(PCA)compression were lower/earlier/less than those in the ALR group,the modified observer's assessment of alertness/sedation scale(OAA/S)score 24 hours after surgery was significantly lower than those in the ALR group and the MLR group,with statistically significant differences(P<0.05).Harris score 24 hours after surgery and duration of sensory block in the MLR group were higher/longer than those in the ALR group,modified OAA/S score 12 hours after surgery,MAP 30 minutes after surgery,levels of IL-17 and TNF-α 24 hours after surgery,onset time of sensory block,and the number of PCA compressions were lower/longer/less than those in the ALR group,with statistically significant differences(P<0.05).Kaplan-Meier analysis showed that there were significant differences in the incidences of hip infection 2 weeks after surgery among all groups(P<0.05),and there were significant differences in the incidences of hip infection 2 weeks after surgery between the ALR group and the DBN group(P<0.05).Conclusion The effectiveness of calculating the dose of sufentanil using the MLR and DBN in elderly hip arthroplasty with bow tie fascia iliac block is better than that of ALR,and the advantage of DBN is more obvious.

Objective:To systematically review the current situation and risk factors of social isolation among elderly people in Chinese communities.Methods:The research on social isolation of elderly people in Chinese communities was electronically searched on China National Knowledge Infrastructure, WanFang Data, VIP, China Biology Medicine disc, PubMed, Embase, Web of Science, and Cochrane Library. The search period was from database establishment to August 1, 2023. Two researchers independently conducted literature screening, quality evaluation, and data extraction, and used Stata 17.0 software to conduct Meta-analysis on the incidence and risk factors of social isolation among elderly people in the community.Results:A total of 29 articles were included, with a total of 49 713 samples. Meta-analysis showed that the incidence of social isolation among elderly people in Chinese communities was 29.5%. Advanced age, education below college level, poor self-rated health, lack of exercise, coexistence of chronic diseases, impaired daily living activities, hearing loss, depression, lack of spouse, low family care, low social support, and low social participation were the main risk factors for social isolation among elderly people in the community ( OR ranging from 1.57 to 3.34, P<0.05) . Conclusions:The incidence of social isolation among elderly people in Chinese communities is high, and there are many risk factors. Medical and nursing staff should strengthen early screening for social isolation among the elderly and provide early intervention for the risk factors.

Objective:To analyze the risk factors for late-onset hemorrhagic cystitis(LOHC)after allogeneic hematopoietic stem cell transplantation(allo-HSCT),the risk factors for the progression of LOHC to severe LOHC,and the effect of LOHC on survival.Methods:The clinical data of 300 patients who underwent allo-HSCT at the First Affiliated Hospital of Chongqing Medical University from January 2015 to December 2021 were retrospectively analyzed.The relevant clinical parameters that may affect the occurance of LOHC after allo-HSCT were selected for univariate and multivariate analysis.Then,the differences in overall survival(OS)and progression-free survival(PFS)between different groups were analyzed.Results:The results of multivariate analysis showed that the independent risk factors for LOHC after allo-HSCT were as follows:age≤45 years old(P=0.039),intensified conditioning regimen with fludarabine/cladribine and cytarabine(P=0.002),albumin ≤ 30 g/L on d30 after transplantation(P=0.007),CMV-DNA positive(P=0.028),fungal infection before transplantation(P=0.026),and the occurrence of grade Ⅱ-Ⅳ aGVHD(P=0.006).In the transplant patients who have already developed LOHC,the occurance of LOHC within 32 days after transplantation(P=0.008)and albumin ≤ 30 g/L on d30 after transplantation(P=0.032)were independent risk factors for the progression to severe LOHC.The OS rate of patients with severe LOHC was significantly lower than that of patients without LOHC(P=0.041).Conclusion:For the patients aged ≤ 45 years old and with intensified conditioning regimen,it is necessary to be vigilant about the occurrence of LOHC;For the patients with earlier occurrence of LOHC,it is necessary to be vigilant that it develops into severe LOHC.Early prevention and treatment of LOHC are essential.Regular monitoring of CMV-DNA and albumin levels,highly effective antiviral and antifungal therapies,and prevention of aGVHD are effective measures to prevent the occurrence and development of LOHC.

Objective:To investigate the safety and efficacy of mitoxantrone liposome in the treatment of children with high-risk acute myeloid leukemia(AML).Methods:The children with high-risk AML who received the mitoxantrone liposome regimen at Wuhan Children's Hospital from January 2022 to February 2023 were collected as the observation group,and the children with high-risk AML who received idarubicin regimen were enrolled as controls,and their clinical data were analyzed.Time to bone marrow recovery,the complete remission rate of bone marrow cytology,the clearance rate of minimal residual disease,and treatment-related adverse reactions were compared between the two groups.Results:The patients treated with mitoxantrone liposome showed shorter time to recovery of leukocytes(17 vs 21 day),granulocytes(18 vs 24 day),platelets(17 vs 24 day),and hemoglobin(20 vs 26 day)compared with those treated with idarubicin,there were statistical differences(P＜0.05).The effective rate and MRD turning negative rate in the observation group were 90.9％and 72.7％,respectively,while those in the control group were 94.1％and 76.4％,with no statistical difference(P＞0.05).The overall response rate of the two groups of patients was similar.Conclusion:The efficacy of mitoxantrone liposome is not inferior to that of idarubicin in children with high-risk AML,but mitoxantrone liposome allows a significantly shorter duration of bone marrow suppression and the safety is better.

Objective:To screen interleukin(IL)-1β secretion-related membrane transporters by macrophage experiment in vitro and conventional knockout mice.Methods:THP-1 cell line was differentiated to obtain human THP-1-derived macrophages,and the primary macrophages were obtained from human peripheral blood.FVB wild-type mice with the same sex and age were used as the controls of MRP1 knockout mice.The macrophages in abdominal cavity and bone marrow of mice were cultivated.The cells were treated with ABCC1/MRP1,ABCG2/BCRP,ABCB1/P-gp,OATP1B1,and MATE transporter inhibitors,then stimulated by lipopolysaccharide and adenosine triphosphate.The secretion level of IL-iβ was detected by ELISA,Western blot,and immunofluorescence.Results:After inhibiting ABCC1/MRP1 transporter,the secretion of IL-1β decreased significantly,while inhibition of the other 4 transporters had no effect.In animal experiment,the level of IL-1 β secreted by macrophages in bone marrow of MRP1 knockout mice was significantly lower than control group(P＜0.05).Conclusion:ABCC1/MRP1 transporter is a newly discovered IL-1β secretion pathway,which is expected to become a new target for solving clinical problems such as cytokine release syndrome.