Paradigms of acute kidney injury in the intensive care setting

Vaccarin alleviates renal ischemia-reperfusion injury by inhibiting inflammation and ferroptosis

Acute kidney injury (AKI) is a clinical syndrome characterized by the sudden loss of renal excretory function. Renal ischemia-reperfusion injury (IRI) is the most common clinical cause of AKI. This study investigated the therapeutic potential of vaccarin (VA), a flavonoid glycoside extracted from the seeds of the Chinese herb Vaccaria hispanica, in treating IRI in mice. We found that VA significantly reduced serum urea nitrogen and creatinine levels, ameliorated renal tubular histopathological injury, inhibited renal macrophage infiltration, and down-regulated the expression of kidney injury molecule-1 (KIM-1). In vitro, VA protected mouse tubular epithelial cells (mTECs) from hypoxia/reoxygenation (H/R) injury. VA decreased the expression of NOX4 in damaged mouse kidney and H/R treated mTECs. The anti-inflammatory effects of VA were evidenced by the decrease in phosphorylated p65, pro-inflammatory cytokines and macrophage infiltration. More importantly, VA decreases the levels of MDA and ROS, and increases the levels of GSH, suggesting an excellent anti-oxidative effect. Additionally, VA mitigated oxidative stress and ferroptosis, demonstrated by regulating the expression of glutathione peroxidase 4 (GPX4) and cystine/glutamate antiporter system (system Xc-), and by reducing malondialdehyde (MDA) and ROS levels. The study further demonstrated that VA interacts with NADPH oxidase 4 (NOX4) via cellular thermal shift assay and molecular docking, suggesting NOX4 is a potential therapeutic target of VA. Furthermore, the inhibition, knockdown, or overexpression of NOX4 did not significantly altered the protective effect of VA. Overall, these findings highlight the therapeutic potential of VA in treating IR-induced AKI.

Magnetic resonance imaging of renal oxygenation

Renal hypoxia has a key role in the pathophysiology of many kidney diseases. MRI provides surrogate markers of oxygenation, offering a critical opportunity to detect renal hypoxia. However, studies that have assessed the diagnostic performance of oxygenation MRI for kidney disorders have provided inconsistent results because MRI metrics do not fully capture the complexity of renal oxygenation. Most oxygenation MRI studies are descriptive in nature and fail to detail the pathophysiological importance of the imaging findings. These limitations have restricted the clinical application of oxygenation MRI and the full potential of this technology to facilitate early diagnosis, risk prediction and treatment monitoring of kidney disease has not yet been realized. Understanding of the relationship between renal tissue oxygenation and MRI metrics, which is affected by kidney size, tubular volume fraction and renal blood volume fraction, and measurement of these factors using novel MR methods is imperative for correct physiological interpretation of renal MR oximetry findings. Next steps to enable the clinical adoption of MR oximetry should involve multidisciplinary collaboration to address standardization of acquisition and data analysis protocols and establish reference values of MRI metrics.

Timing of kidney replacement therapy in critically ill patients: A call to shift the paradigm in the era of artificial intelligence

Acute kidney injury (AKI) is a common condition in intensive care units (ICUs) and is associated with high mortality rates, particularly when kidney replacement therapy (KRT) becomes necessary. The optimal timing for initiating KRT remains a subject of ongoing debate. Emerging tools and methodologies, such as machine learning and advanced sub-phenotyping, offer promising insights into refining AKI management. Moving beyond the traditional "early" versus "delayed" paradigm and the heavy reliance on serum creatinine measurements, there is an opportunity to develop treatment strategies tailored to the unique pathophysiological and medical context of each patient. Such individualized approaches could potentially improve outcomes and transform AKI management into ICUs. However, KRT is not without risks. Hemodynamic instability poses a significant challenge, complicating the management of critically ill patients. The selection of a KRT modality-whether intermittent hemodialysis, continuous renal replacement therapy, or peritoneal dialysis-introduces additional complexities. Each modality has distinct advantages and limitations, requiring a careful, patient-specific approach to ensure optimal care. This decision-making process is further influenced by the availability of specialized equipment and trained personnel, resources that may be limited in some settings. Notably, current evidence does not demonstrate a clear survival or recovery benefit from the early initiation of dialysis. This narrative review explores the ongoing debates surrounding KRT timing and methodology, highlighting the importance of adopting patient-centric, individualized strategies to navigate the evolving landscape of AKI management.

Inhibition of HIF-prolyl hydroxylase promotes renal tubule regeneration via the reprogramming of renal proximal tubular cells

The ability of the mammalian kidney to repair or regenerate after acute kidney injury (AKI) is very limited. The maladaptive repair of AKI promotes progression to chronic kidney disease (CKD). Therefore, new strategies to promote the repair/regeneration of injured renal tubules after AKI are urgently needed. Hypoxia has been shown to induce heart regeneration in adult mice. However, it is unknown whether hypoxia can induce kidney regeneration after AKI. In this study, we used a prolyl hydroxylase domain inhibitor (PHDI), MK-8617, to mimic hypoxic conditions and found that MK-8617 significantly ameliorated ischemia reperfusion injury (IRI)-induced AKI. We also showed that MK-8617 dramatically facilitated renal tubule regeneration by promoting the proliferation of renal proximal tubular cells (RPTCs) after IRI-induced AKI. We then performed bulk mRNA sequencing and discovered that multiple nephrogenesis-related genes were significantly upregulated with MK-8617 pretreatment. We also showed that MK-8617 may alleviate proximal tubule injury by stabilizing the HIF-1α protein specifically in renal proximal tubular cells. Furthermore, we demonstrated that MK-8617 promotes the reprogramming of renal proximal tubular cells to Sox9+ renal progenitor cells and the regeneration of renal proximal tubules. In summary, we report that the inhibition of prolyl hydroxylase improves renal proximal tubule regeneration after IRI-induced AKI by promoting the reprogramming of renal proximal tubular cells to Sox9+ renal progenitor cells.

Acute kidney injury and energy metabolism

Acute kidney injury (AKI) predominantly affects hospitalized patients, particularly those in intensive care units, and has emerged as a significant global public health concern. Several factors, including severe cardiovascular disease, surgery-induced renal ischemia, nephrotoxic drugs, and sepsis, contribute to the development of AKI. Despite the implementation of various clinical strategies to prevent or treat AKI, its morbidity and mortality remain high, and there are no clinically effective therapeutic agents available. The limitations of traditional renal function markers (such as urine output, serum creatinine, and urea nitrogen levels), including their delayed response and insensitivity, underscore the urgent need for novel early biomarkers to facilitate the timely diagnosis of AKI. The proximal tubular epithelial cells in the kidney play a central role in both the onset and progression of AKI. These cells are highly metabolically active and have a substantial energy demand, primarily relying on fatty acid oxidation to meet their energy needs. Acylcarnitines are crucial in transporting fatty acids from the cytoplasm into the mitochondrial matrix for β-oxidation, which generates energy essential for maintaining cellular function and viability. This review aims to summarize the current understanding of AKI, including its triggers, classification, underlying mechanisms, and potential biomarkers. Special emphasis is placed on the role of fatty acid and carnitine metabolism in AKI, with the goal of providing a theoretical foundation for future investigations into AKI mechanisms and the identification of early diagnostic biomarkers.

Muse Cells Orchestrating Renal Repair via Macrophage M2 Polarization in Ischemia-Reperfusion Injury

Acute renal ischemia-reperfusion injury (IRI) poses significant challenges in clinical management, necessitating the exploration of novel therapeutic strategies. This study investigates the therapeutic potential and underlying mechanisms of multilineage-differentiating stress-enduring (Muse) cells in alleviating renal IRI. In recent years, stem cell research has advanced significantly, providing promising prospects for clinical treatment. Mesenchymal stromal cells (MSCs), from which Muse cells are derived, are a heterogeneous population of cells that include stem cells with varying degrees of multipotency, committed progenitors, and differentiated cells. Muse cells, a subpopulation of MSCs, were isolated from adipose tissue obtained through liposuction in this study. In vivo studies revealed the effective recruitment of Muse cells to injured kidneys and their ability to ameliorate renal pathological damage and improve renal function in a rat model of acute kidney IRI. Mechanistically, Muse cells modulated the polarization of macrophages toward an anti-inflammatory M2 phenotype, as evidenced by decreased M1/M2 ratios. In vitro experiments further elucidated the interaction between Muse cells and macrophages, demonstrating Muse cell-mediated promotion of M2 polarization. Co-culture with M2 macrophages during reoxygenation phases enhanced the survival of renal tubular epithelial cells following hypoxia-reoxygenation injury, highlighting the therapeutic potential of Muse cells in mitigating renal IRI through modulation of macrophage polarization. These findings provide insights into the therapeutic mechanisms of Muse cells and offer promising avenues for the development of innovative renal injury treatments.

Renal mitochondria response to sepsis: a sequential biopsy evaluation of experimental porcine model

BACKGROUND

The pathophysiology of sepsis-induced acute kidney injury remains elusive. Although mitochondrial dysfunction is often perceived as the main culprit, data from preclinical models yielded conflicting results so far. The aim of this study was to assess the immune-metabolic background of sepsis-associated renal dysfunction using sequential biopsy approach with mitochondria function evaluation in a large clinically relevant porcine models mimicking two different paces and severity of sepsis and couple this approach with traditional parameters of renal physiology.

METHODS

In this randomized, open-label study, 15 anaesthetized, mechanically ventilated and instrumented (renal artery flow probe and renal vein catheter) pigs were randomized in two disease severity groups-low severity (LS) sepsis (0.5 g/kg of autologous faeces intraperitoneally) and high severity (HS) sepsis (1 g/kg of autologous faeces intraperitoneally). Sequential cortical biopsies of the left kidney were performed and a pyramid-shaped kidney specimen with cortex, medulla and renal papilla was resected and processed at the end of the experiment. Oxygraphic data and western blot analysis of proteins involved in mitochondrial biogenesis and degradation were obtained.

RESULTS

In contrast to increased mitochondrial activity observed in LS sepsis, a significant decrease in the oxidative phosphorylation capacity together with an increase in the respiratory system uncoupling was observed during the first 24 h after sepsis induction in the HS group. Those changes preceded alterations of renal haemodynamics. Furthermore, serum creatinine rose significantly during the first 24 h, indicating that renal dysfunction is not primarily driven by haemodynamic changes. Compared to cortex, renal medulla had significantly lower oxidative phosphorylation capacity and electron-transport system activity. PGC-1-alfa, a marker of mitochondrial biogenesis, was significantly decreased in HS group.

CONCLUSIONS

In this experimental model, unique sequential tissue data show that the nature and dynamics of renal mitochondrial responses to sepsis are profoundly determined by the severity of infectious challenge and resulting magnitude of inflammatory insult. High disease severity is associated with early and stepwise progression of mitochondria dysfunction and acute kidney injury, both occurring independently from later renal macro-haemodynamic alterations. Our data may help explain the conflicting results of preclinical studies and suggest that sepsis encompasses a very broad spectrum of sepsis-induced acute kidney injury endotypes.

Comparison of Different Membranes for Continuous Renal Replacement Therapies: An In Vitro Study

Inflammatory mediators play a major role in the development and progression of acute kidney injury (AKI). Continuous renal replacement therapy (CRRT) removes these mediators from the blood using AN69-M, AN69-ST, and HF1400 filters to target low and middle-molecular weight molecules. We characterized the in vitro removal performance of each filter in a 72 hour simulated CRRT procedure. Urea clearance with AN69-M and AN69-ST remained stable (52.4 and 51.2 ml/minute, respectively) but decreased with HF1400 (47.0 ml/minute; p < 0.001). Vancomycin clearance remained stable for AN69 filters but decreased for HF1400. Interleukin (IL)-8 was removed primarily via adsorption with the AN69 filters (92.2 and 91.2 ml/minute for AN69-M and AN69-ST, respectively), but clearance was significantly lower with HF1400 (8.4 ml/minute). Tumor necrosis factor (TNF)-α clearance was higher with AN69-ST compared with AN69-M or HF1400 (10.3, 1.8, and 2.3 ml/minute, respectively). β2-microglobulin clearance was higher with both AN69-based filters. The hydrogel water repartition of AN69 filters was different, with a higher percentage of bound water in AN69-ST versus AN69-M (30.5% ± 0.2% and 19.3% ± 1.5%, respectively; p < 0.05). These results suggest that clearance profiles of CRRT filters differ according to their properties; further investigation is needed to translate this into clinical improvements.

Decreased renal cortical perfusion post-EGDT is associated with MAKE-30 in sepsis

OBJECTIVE

This study explores alterations in renal cortical perfusion post-Early Goal-Directed Therapy (EGDT) in sepsis patients, to investigate its association with major adverse kidney events within 30 days (MAKE-30) and identify hemodynamic factors associated with renal cortical perfusion.

METHODS

Sepsis patients admitted to the ICU from Jan 2022 to Jul 2023 were prospectively enrolled. Contrast-enhanced ultrasound (CEUS) assessed renal cortical perfusion post-EGDT. Hemodynamic parameters and renal resistive index (RRI) were collected. Patients were categorized into MAKE-30 and non-MAKE-30 groups. The study examined the association between renal cortical perfusion and MAKE-30, explored the hemodynamic factors related to renal cortical perfusion.

RESULTS

Of 94 sepsis patients, 46 (48.9 %) experienced MAKE-30. Distinctions in pulmonary (P = 0.012) and abdominal infection sites (P = 0.001) and significant SOFA (P < 0.001) and APACHE II scores (P = 0.003) differences were observed. No significant differences in baseline characteristics, vasopressor, or diuretic doses were noted (P > 0.05). Hemodynamic parameters in MAKE-30 and non-MAKE-30 patients showed no significant differences. RRI was higher in MAKE-30 patients (0.71 vs 0.66 P = 0.005). Renal microcirculation parameters, including AUC (p = 0.035), rBV (p = 0.021), and PI (p = 0.003), were lower in MAKE-30. Reduced cortical renal perfusion was associated with an increased risk of MAKE-30. Renal cortical perfusion RT was identified as an independent factor associated with this risk (HR 2.278, 95 % CI (1.152-4.507), P = 0.018). RRI correlated with renal cortical perfusion AUC (r = -0.220 p 0.033).

CONCLUSION

Despite normal systemic hemodynamics post-sepsis EGDT, MAKE-30 patients show reduced renal cortical perfusion. CEUS-derived RT is an independent factor associated with this change. RRI correlates with renal cortical perfusion.

Protective effect of intravenous amino acid on kidney function: A systematic review and meta-analysis of randomized controlled trials

BACKGROUND

Acute kidney injury (AKI) is a common complication in critically ill and cardiac surgery patients. Intravenous amino acids can increase renal perfusion and replenish renal functional reserves. However, the exact therapeutic efficacy of intravenous amino acids in reducing the incidence of AKI remains uncertain. Therefore, this study aims to comprehensively review the existing evidence to assess the potential of intravenous amino acids in kidney protection.

METHODS

EMBASE, PubMed, MEDLINE, and the Cochrane Library were searched for randomized controlled trials published on or before July 2, 2024, that examined the relationship between Intravenous amino acids and renal function. We extracted population characteristics and outcome variables related to renal function from randomized controlled trials comparing intravenous amino acid supplementation with no supplementation. We assessed this evidence using the Risk of Bias 2 (RoB2) tool for randomized controlled trials. Data were synthesized using a random-effects model.

RESULTS

This review included 7 randomized controlled trials with a total of 505 patients. The results showed that compared with the control group, intravenous amino acid administration significantly reduced the incidence of AKI (RR: 0.81, 95 % CI: 0.68-0.97, P = 0.02) and increased urine output (MD: 308.87, 95 % CI: 168.68-449.06, P < 0.0001). However, intravenous amino acids did not reduce mortality or the incidence of kidney replacement therapy, with no statistical difference in 30-day mortality (RR: 0.93, 95 % CI: 0.65-1.34, P = 0.71), 90-day mortality (RR:1.00, 95 % CI: 0.77-1.29, P = 0.98), or need for kidney replacement therapy (RR: 0.92, 95 % CI: 0.41-2.06, P = 0.83). Subgroup analysis suggested that, regardless of sample size, intravenous amino acid administration reduced the incidence of AKI and was particularly significant in patients undergoing cardiac and major vascular surgery. Furthermore, intraoperative intravenous amino acid therapy demonstrated a significant reduction in the incidence of AKI compared to postoperative administration.

CONCLUSIONS

Intravenous amino acids protect renal function in patients at high risk of AKI, particularly after cardiac surgery. It reduces the incidence of AKI and increases urine output, but has no significant effect on KRT and mortality.

The STING antagonist SN-011 ameliorates cisplatin induced acute kidney injury via suppression of STING/NF-κB-mediated inflammation

Acute kidney injury (AKI) is a critical clinical syndrome associated with both innate and adaptive immune responses and thus increases mortality. Nevertheless, specific therapeutics for AKI are scarce so far. Recent studies have revealed that knockout of STING alleviate AKI, suggesting that STING could be an attractive target for AKI therapy. SN-011, a promising STING inhibitor, has not been reported in studies of its anti-AKI activity. In this study, we sought to examine the effects of SN-011 on AKI and explore its underlying mechanism. Our findings indicate that SN-011 could modulate the NF-κB and MAPK pathways, suppress the expression of inflammatory factors, and decrease ROS release in the cisplatin-induced cell model. In addition, SN-011 blocked the nuclear translocation of NF-κB p65, further mitigating the inflammatory response. In vivo, SN-011 enhanced survival rates and alleviated renal dysfunction. According to gene set enrichment analysis of sequencing data from mouse kidneys, we further confirm that SN-011 modulates the NF-κB and MAPK pathways. Our study suggests that SN-011 could be an attractive anti-inflammatory agent for further anti-AKI research.

Impact of mechanical ventilation on severe acute kidney injury in critically ill patients with and without COVID-19 - a multicentre propensity matched analysis

BACKGROUND

Acute kidney injury (AKI) is common in critically ill patients and is associated with increased morbidity and mortality. Its complications often require renal replacement therapy (RRT). Invasive mechanical ventilation (IMV) and infections are considered risk factors for the occurrence of AKI. The use of IMV and non-invasive ventilation (NIV) has changed over the course of the pandemic. Concomitant with this change in treatment a reduction in the incidences of AKI and RRT was observed. We aimed to investigate the impact of IMV on RRT initiation by comparing critically ill patients with and without COVID-19. Furthermore, we wanted to investigate the rates and timing of RRT as well as the outcome of patients, who were treated with RRT.

RESULTS

A total of 8,678 patients were included, of which 555 (12.8%) in the COVID-19 and 554 (12.8%) in the control group were treated with RRT. In the first week of ICU stay the COVID-19 patients showed a significantly lower probability for RRT initiation (day 1: p < 0.0001, day 2: p = 0.021). However, after day 7 a reversed HR was found. In mechanically ventilated patients the risk was significantly higher for the initiation of RRT over the entire stay. While in non-COVID-19 patients this was a non-significant trend, in COVID-19 patients the risk for RRT was significantly increased. The median delay between initiation of IMV and requirement of RRT was observed to be longer in COVID-19 patients (5 days [IQR: 2-11] vs. 2 days [IQR: 1-5]). The analysis restricted to patients with RRT showed a significantly higher risk for ICU death in patients requiring IMV compared to patients without IMV.

CONCLUSION

The analysis demonstrated that IMV as well as COVID-19 are associated with an increased risk for initiation of RRT. The association between IMV and risk of RRT initiation was given for all investigated time intervals. Additionally, COVID-19 patients showed an increased risk for RRT initiation during the entire ICU stay within patients admitted to an ICU due to respiratory disease. In COVID-19 patients treated with RRT, the risk of death was significantly higher compared to non-COVID-19 patients.

The role of phospholipid transfer protein in sepsis-associated acute kidney injury

BACKGROUND

Phospholipid transfer protein (PLTP), a glycoprotein widely expressed in the body, is primarily involved in plasma lipoprotein metabolism. Previous research has demonstrated that PLTP can exert anti-inflammatory effects and improve individual survival in patients with sepsis and endotoxemia by neutralizing LPS and facilitating LPS clearance. However, the role of PLTP in sepsis-associated acute kidney injury (SA-AKI) and the specific mechanism of its protective effects are unclear. This study aimed to assess the potential role of PLTP in SA-AKI.

METHODS

This is a population-based prospective observational study of patients with sepsis admitted to the intensive care unit. Blood samples were collected on days 1, 3, 5, and 7 after admission to the ICU. Plasma PLTP lipotransfer activity was measured to assess outcomes, including the incidence of SA-AKI and 30-day major adverse kidney events (MAKE 30). The correlation between PLTP lipotransfer activity and SA-AKI and MAKE 30 was evaluated through logistic regression modeling. Receiver operating characteristic curves were used to assess the diagnostic value of PLTP lipotransfer activity for SA-AKI and MAKE 30. The PLTP lipotransfer activity was categorized into high and low groups based on the optimal cut-off values. The differences between the high and low PLTP lipotransfer activity groups in terms of MAKE 30 were evaluated using Kaplan-Meier analysis. The SA-AKI mouse model was established via cecum ligation and puncture (CLP) in the animal experimental phase. The impact of PLTP on renal function was then investigated in wild-type and PLTP ± mice. The wild-type mice were given recombinant human PLTP (25 μg, 200 μL each/dose) via the tail vein at 1-, 7-, and 23-h intervals on the day preceding CLP. The control group received an equal volume of solvent. The 10-day survival and kidney function among the treatment groups were then evaluated.

RESULTS

A total of 93 patients were enrolled in this clinical trial, of which 52 developed acute kidney injury (AKI). A total of 32 patients died over the course of the 30-day follow-up period, 34 underwent kidney replacement therapy, 37 developed persistent acute kidney injury, and 55 patients met the composite endpoint. The plasma PLTP lipotransfer activity was identified as an independent predictor of SA-AKI (crude OR = 0.96, 95% CI 0.95-0.98, p < 0.001; adjusted OR = 0.92, 95% CI 0.86-0.96, p = 0.001) and MAKE 30 (crude OR = 0.97, 95% CI 0.96-0.98, p < 0.001; adjusted OR = 0.96, 95% CI 0.93-0.98, p = 0.001). The area under the curve (AUC) of plasma PLTP lipotransfer activity within 24 h of ICU admission could predict the occurrence of SA-AKI and MAKE 30 in septic patients (AUC values; 0.87 (95% CI 0.79-0.94) and 0.87 (95% CI 0.80-0.94), respectively). The cumulative incidence of main kidney adverse events was significantly lower in the high group than in the low group (p < 0.001). Compared with the controls, creatinine levels were significantly elevated in the CLP mice, while PLTP lipotransfer activity was significantly decreased at 24 h postoperatively. Moreover, the PTLP ± mice exhibited significantly impaired renal function and markedly elevated plasma levels of inflammatory mediators compared with the wild-type CLP mice. Notably, human recombinant PTLP significantly prolonged 10-day survival, improved renal function, and attenuated mitochondrial structural damage in wild-type CLP mice.

CONCLUSIONS

These findings indicate that PLTP is a potential therapeutic target in sepsis-associated acute kidney injury.

Prevalence and Risk Factors of Acute Kidney Injury After Colorectal Cancer Surgery

PURPOSE

Acute kidney injury is a sentinel event affecting colorectal cancer patients either as a consequence of surgery or systemic chemotherapy. It is highly correlated with both short and long-term adverse outcomes. This work aimed to study the prevalence, risk factors, and impact on survival of postoperative (PO-AKI) and post-chemotherapy (PC-AKI) after colorectal cancer (CRC) surgery in Egyptian patients.

METHODS

Data of the patients with CRC who underwent surgery over the previous 5 years was retrieved from an internet-based medical system. The incidence of PO-AKI and PC-AKI was calculated, the rate and time to resolution of PO-AKI were recorded, and the possible predictors of AKI were assessed using univariate and multivariate analysis; also, the impact of AKI on patients' survival was tested using survival curves.

RESULTS

Five hundred sixty-one cases fulfilled the inclusion criteria and were included in the study. PO-AKI was detected in 10.5% of the patients. Significant risk factors included intraoperative hypotension, sepsis, hypoalbuminemia, amount of intraoperative bleeding, neoadjuvant therapy, and preoperative chronic kidney disease (CKD). However, only neoadjuvant treatment (hazard ratio (HR) 2.2) and CKD (HR 3.3) maintained significant risk in the multivariate analysis. PC-AKI was observed in 18.7% of the patients treated. Significant risk factors were previous CKD and the chemotherapy type, mainly affecting those who received Irinotecan-based therapy. The hazard ratio was 8.5 and 2.4 respectively, in multivariate analysis. The overall survival was significantly worse in those who developed PO- or PC-AKI (p < 0.001).

CONCLUSION

AKI affects more than 25% of CRC patients after surgery and/or chemotherapy. Modifiable risk factors include preoperative hypoalbuminemia, intraoperative bleeding, and/or intraoperative hypotension. While, the more important risk factors were non-modifiable including CKD, neoadjuvant therapy, and Irinotecan-containing regimens. Most kidney injuries are stage I; however, they are associated with shorter overall survival.

Methods for phenotyping adult patients with acute kidney injury: a systematic review

BACKGROUND

Acute kidney injury (AKI) is a multifaceted disease characterized by diverse clinical presentations and mechanisms. Advances in artificial intelligence have propelled the identification of AKI subphenotypes, enhancing our capacity to customize treatments and predict disease trajectories.

METHODS

We conducted a systematic review of the literature from 2017 to 2022, focusing on studies that utilized machine learning techniques to identify AKI subphenotypes in adult patients. Data were extracted regarding patient demographics, clustering methodologies, discriminators, and validation efforts from selected studies.

RESULTS

The review highlights significant variability in subphenotype identification across different populations. All studies utilized clinical data such as comorbidities and laboratory variables to group patients. Two studies incorporated biomarkers of endothelial activation and inflammation into the clinical data to identify subphenotypes. The primary discriminators were comorbidities and laboratory trajectories. The association of AKI subphenotypes with mortality, renal recovery and treatment response was heterogeneous across studies. The use of diverse clustering techniques contributed to variability, complicating the application of findings across different patient populations.

CONCLUSIONS

Identifying AKI subphenotypes enables clinicians to better understand and manage individual patient trajectories. Future research should focus on validating these phenotypes in larger, more diverse cohorts to enhance their clinical applicability and support personalized medicine in AKI management.

Immunopharmacological Insights into Cordyceps spp.: Harnessing Therapeutic Potential for Sepsis

Cordyceps spp. (CS), a well-known medicinal mushroom that belongs to Tibetan medicine and is predominantly found in the high altitudes in the Himalayas. CS is a rich reservoir of various bioactive substances including nucleosides, sterols flavonoids, peptides, and phenolic compounds. The bioactive compounds and CS extract have antibacterial, antioxidant, immunomodulatory, and inflammatory properties in addition to organ protection properties across a range of disease states. The study aimed to review the potential of CS, a medicinal mushroom, as a treatment for sepsis. While current sepsis drugs have side effects, CS shows promise due to its anti-inflammatory, antioxidant, and antibacterial properties. We have performed an extensive literature search based on published original and review articles in Scopus and PubMed. The keywords used were Cordyceps, sepsis, and inflammation. Studies indicate that CS extract and bioactive compounds target free radicals including oxidative as well as nitrosative stress, lower inflammation, and modulate the immune system, all of which are critical components in sepsis. The brain, liver, kidneys, lungs, and heart are among the organs that CS extracts may be able to shield against harm during sepsis. Traditional remedies with anti-inflammatory and protective qualities, such as Cordyceps mushrooms, are promising in sepsis. However, more research including clinical trials is required to validate the usefulness of CS metabolites in terms of organ protection and fight infections in sepsis.

Mechanism of Acute Kidney Injury in Mild to Moderate Heat-related Illness

Objectives

This study focuses on mild-to-moderate severity cases to examine the triggers initiating kidney injury.

Materials

Patients aged ≥18 years with suspected heat-related illnesses at the Juntendo University Hospital Emergency and Primary Care Center between July and September 2020 and June and August 2022 were included.

Methods

Blood samples were obtained during their visit, and the patients were categorized into two groups based on their cystatin-based estimated GFR (eGFRcys) values: a kidney injury group (eGFRcys < 60 mL/min/1.73 m2) and a non-kidney injury group (eGFRcys ≥ 60 mL/min/1.73 m2). Inflammation, coagulation, and skeletal muscle damage markers were compared between the groups, and markers related to the early development of kidney injury were examined.

Results

Thirty-five patients were diagnosed with heat-related illnesses, and 10 were diagnosed with kidney injury. White blood cell count was higher in the kidney injury group (P < 0.01), whereas the levels of CRP and Interleukin-6 showed no significant difference between the groups. No statistically significant differences in coagulation markers were observed. In contrast, myoglobin, a marker of skeletal muscle damage, showed elevated levels in the kidney injury group (r = -0.80, P < 0.01) and demonstrated a stronger association with early kidney injury than creatine kinase (r = -0.38, P < 0.05).

Conclusions

The predominant mechanism of acute kidney injury in mild to moderate heat-related illnesses appears to be tubular damage caused by myoglobin. Measuring myoglobin levels is essential to identify and exclude patients at risk of acute kidney injury due to heat-related illnesses.

Deficiency of purinergic P2Y2 receptor impairs the recovery after renal ischemia-reperfusion injury and accelerates renal fibrosis and tubular senescence in mice

Chronic kidney disease is defined as a progressive loss of kidney function associated with impaired recovery after acute kidney injury. Renal ischemia-reperfusion (IR) induces oxidative stress and inflammatory responses leading to severe tissue damage, where incomplete or maladaptive repair accelerates renal fibrosis and aging. To investigate the role of the purinergic P2Y2 receptor (P2Y2R) in these processes, we used P2Y2R knockout (KO) mice subjected to IR. KO mice showed severe kidney dysfunction and structural damage compared to WT mice. KO mice showed higher senescence-associated β-galactosidase expression and shorter telomere length than WT mice. Consistently, interstitial collagen accumulation and fibrogenic mediators were significantly upregulated in KO mice. Renal apoptosis and inflammation were highly elevated in KO mice. Interestingly, cell proliferation as shown by Ki-67 and PCNA expression, was increased for 3 days after IR in WT mice, whereas it maintained increased for 14 days in KO mice. Cell cycle inhibitors, p16 and p21, and regulators JunB and cyclin E were significantly increased after IR in KO mice, suggesting that cell cycle progression was impaired during recovery after IR. Proximal tubular cells treated with JunB siRNA showed a reduced expression of fibrogenic mediators and proinflammatory cytokines, consistent with the mice treated with MRS2768, a P2Y2 agonist that downregulated JunB levels. In conclusion, P2Y2R reduces kidney tissue damage after IR and repairs the tissue properly by regulating JunB-mediated signaling during the recovery process.

Acetaminophen administration reduces acute kidney injury risk in critically ill patients with Clostridium difficile infection: A cohort study

BACKGROUND

Acetaminophen serves as a standard antipyretic and analgesic agent in the intensive care unit (ICU). However, the association between its administration and acute kidney injury (AKI) among critically ill patients remains controversial, particularly lacking research in patients with Clostridioides difficile infection (CDI). Our aim was to explore the potential relationship between early acetaminophen administration and AKI in critically ill patients with concurrent CDI.

METHODS

Using data from the Medical Information Mart for Intensive Care (MIMIC) IV version 2.2 database, we performed a retrospective cohort study. AKI within 7 days of ICU admission was the main outcome that was measured. We utilized multivariable logistic regression models adjusted for potential confounders based on statistical significance and clinical relevance, to investigate the association between acetaminophen exposure and the risk of AKI in patients with CDI. Additionally, subgroup analyses and sensitivity analysis were conducted to assess the robustness of our primary findings.

RESULTS

The average age of 984 participants was 66.8 ± 16.5 years, and 52.7% (519) were male. The overall proportion of patients who developed AKI was 75.4% (742/984). In patients without and with acetaminophen administration, AKI rates were 79.8% (380/476) and 71.3% (362/508), respectively. Compared to the non-acetaminophen administration group, the risk of AKI was lower in the acetaminophen administration group (absolute risk difference: -8.5%, 95%CI: -13.83%∼-3.17%, P < 0.01).After adjusting for potential confounders, acetaminophen administration was associated with a 32% reduction in the risk of AKI (OR = 0.68, 95%CI:0.48∼0.96, P = 0.027).

CONCLUSION

Our study suggests that early acetaminophen administration may offer renal protection by reducing the risk of AKI in critically ill patients with CDI. Prospective, multicenter randomized controlled studies are needed to verify this finding.

Fluorescent probes for sensing peroxynitrite: biological applications

Peroxynitrite (ONOO-) is a quintessential reactive oxygen species (ROS) and reactive nitrogen species (RNS), renowned for its potent oxidizing and nitrifying capabilities. Under normal physiological conditions, a baseline level of ONOO- is present within the body. However, its production escalates significantly in response to oxidative stress. ONOO- is highly reactive with various biomolecules in vivo, particularly proteins, lipids, and nucleic acids, thereby playing a role in a spectrum of physiological and pathological processes, such as inflammation, cancer, neurodegenerative diseases, and cardiovascular diseases. Consequently, detecting ONOO- in vivo is of paramount importance for understanding the etiology of various diseases and facilitating early diagnosis. Fluorescent probes have become a staple in the identification of biomolecules due to their ease of use, convenience, and superior sensitivity and specificity. This review highlights the recent advancements in the development of fluorescent probes for the detection of ONOO- in diverse disease models and provides an in-depth examination of their design and application.

Clinical value of soluble urokinase-type plasminogen activator receptor in predicting sepsis-associated acute kidney injury

BACKGROUND

Sepsis-associated acute kidney injury (S-AKI) is a critical illness and is often associated with high morbidity and mortality rates. The soluble urokinase-type plasminogen activator receptor (suPAR) is an important immune mediator and is involved in kidney injury. However, its diagnostic value in S-AKI patients remains unclear. Therefore, we assessed the early predictive value of suPAR for S-AKI patients.

METHODS

We prospectively enrolled adult patients, immediately after fulfilling the sepsis-3 criteria. Plasma suPAR levels at 0-, 12-, 24-, and 48-h post-sepsis diagnosis were measured. S-AKI development was the primary outcome. S-AKI risk factors were analyzed using logistic regression, and the value of plasma suPAR for early S-AKI diagnosis was assessed using receiver operating characteristic (ROC) curves.

RESULTS

Of 179 sepsis patients, 63 (35.2%) developed AKI during hospitalization. At 12-, 24-, and 48-h post-sepsis diagnosis, plasma suPAR levels were significantly higher in patients with S-AKI than in patients without S-AKI (p < 0.05). The plasma suPAR had the highest area under the ROC curve of 0.700 (95% confidence interval (CI), 0.621-0.779) at 24-h post-sepsis diagnosis, at which the best discrimination ability for S-AKI was achieved with suPAR of ≥6.31 ng/mL (sensitivity 61.9% and specificity 71.6%). Logistic regression analysis showed that suPAR at 24-h post-sepsis diagnosis remained an independent S-AKI risk factor after adjusting for mechanical ventilation, blood urea nitrogen, and pH.

CONCLUSIONS

The findings suggest that plasma suPAR may be a potential biomarker for early S-AKI diagnosis.

Predictive Value of the Systemic Immune-Inflammation Index in the 28-Day Mortality for Patients with Sepsis-Associated Acute Kidney Injury and Construction of a Prediction Model

Purpose

The predictive value of the Systemic Immune-Inflammation Index (SII) on mortality in patients with sepsis-associated acute kidney injury (S-AKI) remains unclear. This study aims to investigate the predictive value of SII levels at the Intensive Care Unit (ICU) on the 28-day mortality of S-AKI patients.

Patients and Methods

S-AKI patients admitted to the ICU of Henan Provincial People's Hospital from January 1, 2023, to December 31, 2023. Patients who were diagnosed with S-AKI were divided into survival and death groups based on their 28-day outcome after ICU admission. Using receiver operating characteristic (ROC) curves to determine the best cut-off values and prognostic abilities of various parameters. Kaplan-Meier survival curves describe the 28-day survival of patients after ICU admission. Cox regression analysis identified the main risk factors associated with mortality in S-AKI patients, constructing a predictive nomogram. The concordance index (C-index) and decision curve analysis were used to validate the predictive ability of this model.

Results

A total of 216 patients with S-AKI were included. ROC analysis showed that SII had the highest predictive value for mortality risk in S-AKI patients after ICU admission. Compared with the low-SII group, the high-SII group had higher 28-day (86.7% vs 32.4%, respectively, P <0.001) mortality rate. Based on Cox regression analysis, a nomogram predictive model was constructed, including age, respiratory failure, SII levels, number of organ dysfunctions at ICU admission, sequential organ failure assessment (SOFA), and acute physiology and chronic health evaluation II (APACHEII). The C-index for predicting the 28-day survival rate was 0.682. Decision curve analysis indicated a high level of clinical predictive efficacy.

Conclusion

SII serves as a potential biomarker for predicting the prognosis of S-AKI patients. The constructed nomogram prognostic model can aid in assessing the prognosis of S-AKI patients.

Development of machine learning prediction model for AKI after craniotomy and evacuation of hematoma in craniocerebral trauma

The aim of this study was to develop a machine-learning prediction model for AKI after craniotomy and evacuation of hematoma in craniocerebral trauma. We included patients who underwent craniotomy and evacuation of hematoma due to traumatic brain injury in our hospital from January 2015 to December 2020. Ten machine learning methods were selected to model prediction, including XGBoost, Logistic Regression, Light GBM, Random Forest, AdaBoost, GaussianNB, ComplementNB, Support Vector Machines, and KNeighbors. We totally included 710 patients. 497 patients were used for the training of the machine learning models and the remaining patients were used to test the performance of the models. In the validation cohort, the AdaBoost model got the highest area under the receiver operating characteristic curve (AUC) (0.909; 95% CI, 0.849-0.970) compared with other models. The AdaBoost model showed an AUC of 0.909 (95% CI, 0.849-0.970) in the validation cohort. Although there was an underestimated acute kidney injury risk for the model in the calibration curve, there was a net benefit for the AdaBoost model in the decision curve. Our machine learning model was evaluated to have a good performance in the validation cohorts and could be a useful tool in the clinical practice.

Long journey on the role of long non-coding RNA (lncRNA) in acute kidney injury (AKI)

Acute kidney injury (AKI) has a high rate of morbidity, death, and medical expenses, making it a worldwide public health problem. There are still few viable treatment plans for AKI despite medical advancements. A subclass of non-coding RNAs with over 200 nucleotides in length, long non-coding RNAs (lncRNAs) have a wide range of biological roles. Lately, lncRNAs have become important mediators of AKI and prospective biomarkers. However, current studies show that, via constructing the lncRNA/microRNA/target gene regulatory axis, abnormal expression of lncRNAs has been connected to significant pathogenic processes associated with AKI, such as the inflammatory response, cell proliferation, and apoptosis. In order to compete with mRNAs for binding to the same miRNAs and affect the expression of transcripts targeted by miRNAs, lncRNAs may function as competing endogenous RNAs (ceRNAs). The most widely used approach for researching the biological roles of lncRNAs is the construction of ceRNA regulation networks. Our goal in this article is to deliver an updated review of lncRNAs in AKI and to provide more knowledge on their possible applications as therapeutic targets and AKI biomarkers.

Multivalent supramolecular fluorescent probes for accurate disease imaging

Optical imaging is a powerful tool for early disease detection and effective treatment planning, but its accuracy is often compromised by the uptake of imaging materials by the mononuclear phagocyte system (MPS). Herein, we leverage multivalent host-guest interactions between cyanine dyes and β-cyclodextrin polymers to develop supramolecular probes with enhanced stability, optical, and transport profiles for accurate in vivo imaging. These multivalent interactions not only ensure the stability of the probes but also enhance fluorescence efficiency by minimizing nonradiative decay. Our self-assembly approach effectively modulates probe size and surface properties, enabling evasion of MPS clearance and promoting prolonged bloodstream circulation, thereby improving the signal-to-background ratio for imaging. The effectiveness of our design is demonstrated by substantial advancements in the early diagnosis of acute kidney injury and by providing high-contrast imaging and precise surgical navigation across various tumor models. Our strategy not only advances optical imaging materials toward clinical translation but also establishes a versatile platform applicable to multiple imaging modalities.

Preoperative risk factors for ileostomy-associated kidney injury in colorectal tumor surgery following ileostomy formation

PURPOSE

Diverting ileostomy is related to postoperative high-output stoma (HOS) leading to kidney injury. The purpose of our study was to clarify the risk factors for ileostomy-associated kidney injury, which is kidney injury starting after the first operation to ileostomy closure after colorectal tumor surgery with diverting ileostomy.

METHODS

Between January 2013 and December 2020, 442 patients who underwent colorectal tumor surgery (cancer, neuroendocrine tumor, and leiomyosarcoma) following diverting ileostomy formation were included. We used the KDIGO (Kidney Disease Improving Global Outcomes) guidelines, which defines the acute kidney injury (AKI) to classify patients with ileostomy-associated kidney injury. The definition of AKI was (i) serum creatinine (sCr) ≥ 0.3 mg/dL or (ii) sCr ≥1.5-fold the preoperative level. Multivariate analyses were performed to identify the independent risk factors for kidney injury.

RESULTS

Kidney injury developed in 99/442 eligible patients (22.4%). Patients in the kidney injury group were older age, male sex, high American Society of Anesthesiologists Physical Status Classification System (ASA-PS) score, hypertension, cardiovascular diseases, diabetes. The preoperative hemoglobin, albumin, prognostic nutritional index (PNI), and creatinine clearance (CCr) were lower, and the maximum wound length was more extended than the non-kidney injury group. The median highest daily stoma output was significantly higher in the kidney injury group. The postoperative white blood cell (WBC) and C-reactive protein (CRP) levels were also high in the kidney injury group. The univariate analysis showed older age, male sex, high ASA-PS score, hypertension, cardiovascular diseases, and diabetes were the risk factors for kidney injury. The multivariate analysis revealed that age 70 or older, ASA-PS III/IV, hypertension, and HOS ≥2000 ml/day were independent risk factors for kidney injury.

CONCLUSIONS

Surgeons should consider diverting colostomy creation for patients with risk factors such as age 70 or older, ASA-PS III/IV, and hypertension.

Nanotechnology-Based Drug Delivery Systems for Treating Acute Kidney Injury

Acute kidney injury (AKI) is a disease that is characterized by a rapid decline in renal function and has a relatively high incidence in hospitalized patients. Sepsis, renal hypoperfusion, and nephrotoxic drug exposure are the main causes of AKI. The major therapy measures currently include supportive treatment, symptomatic treatment, and kidney transplantation. These methods are supportive treatments, and their results are not satisfactory. Fortunately, many new treatments that markedly improve the AKI therapy efficiency are emerging. These include antioxidant therapy, ferroptosis therapy, anti-inflammatory therapy, autophagy therapy, and antiapoptotic therapy. In addition, the development of nanotechnology has further promoted therapeutic effects on AKI. In this review, we highlight recent advances in the development of nanocarriers for AKI drug delivery. Emphasis has been placed on the latest developments in nanocarrier modification and design. We also summarize the applications of different nanocarriers in AKI treatment. Finally, the advantages and challenges of nanocarrier applications in AKI are summarized, and several nanomedicines that have been approved for clinical trials to treat diverse kidney diseases are listed.

Valence-engineered catalysis-selectivity regulation of molybdenum oxide nanozyme for acute kidney injury therapy and post-cure assessment

The optimization of the enzyme-like catalytic selectivity of nanozymes for specific reactive oxygen species (ROS)-related applications is significant, and meanwhile the real-time monitoring of ROS is really crucial for tracking the therapeutic process. Herein, we present a mild oxidation valence-engineering strategy to modulate the valence states of Mo in Pluronic F127-coated MoO3-x nanozymes (denoted as MF-x, x: oxidation time) in a controlled manner aiming to improve their specificity of H2O2-associated catalytic reactions for specific therapy and monitoring of ROS-related diseases. Experimentally, MF-0 (Mo average valence 4.64) and MF-10 (Mo average valence 5.68) exhibit exclusively optimal catalase (CAT)- or peroxidase (POD)-like activity, respectively. Density functional theory (DFT) calculations verify the most favorable reaction path for both MF-0- and MF-10-catalyzed reaction processes based on free energy diagram and electronic structure analysis, disclosing the mechanism of the H2O2 activation pathway on the Mo-based nanozymes. Furthermore, MF-0 poses a strong potential in acute kidney injury (AKI) treatment, achieving excellent therapeutic outcomes in vitro and in vivo. Notably, the ROS-responsive photoacoustic imaging (PAI) signal of MF-0 during treatment guarantees real-time monitoring of the therapeutic effect and post-cure assessment in vivo, providing a highly desirable non-invasive diagnostic approach for ROS-related diseases.

Outcomes after acute kidney injury and critical illness

PURPOSE OF REVIEW

Acute kidney injury (AKI) in critical illness is common, and survivors are faced with a host of adverse outcomes. In this article, we review the current landscape of outcomes and care in survivors of AKI and critical illness.

RECENT FINDINGS

Follow-up care of survivors of AKI and critical illness is prudent to monitor for and mitigate the risk of adverse outcomes. Observational data have suggested improvement in outcomes with nephrology-based follow-up care, and recent interventional studies demonstrate similar findings. However, current post-AKI care is suboptimal with various challenges, such as breakdowns in the transition of care during hospital episodes and into the community, barriers for patients in follow-up, and lack of identification of high-risk patients for nephrology-based follow-up. Tools predictive of renal nonrecovery and long-term outcomes may help to identify high-risk patients who may benefit the most from nephrology-based care post-AKI.

SUMMARY

Follow-up care of survivors of AKI and critical illness may improve outcomes and there is a need to prioritize transitions of care into the community. Further research is needed to elucidate the best ways to risk-stratify and manage post-AKI survivors to improve outcomes.

Fluorimetric Tool to Discriminate Glomerular and Tubular Injuries In Vivo

The etiology and pathological complexity of acute kidney injury (AKI) pose great challenges for early diagnosis, typing, and personalized treatment. It is an important reason for poor prognosis and high mortality of AKI. In order to provide a relatively noninvasive diagnostic and typing method for AKI, we proposed the pathological changes of albumin permeability after glomerular injury and reabsorption efficiency after tubular injury as potential entry points. Thus, a renal tubule labeling fluorescent dye which features albumin concentration-related fluorescence intensity was used to fit these pathological changes. Utilizing this fluorescence assay, we realized urinary tract obstruction imaging as early as 12 h after morbidity. For glomerular and tubular injury discrimination, compared to a healthy control, membranous nephropathy as a representative glomerular injury resulted in enhanced fluorescence intensity of the kidney due to increased albumin penetration, while renal tubular injury caused insufficient dye reabsorption to exhibit weakened fluorescence intensity. The significant differences demonstrated the feasibility of this approach for fluorescence imaging-based AKI typing in vivo.

Advances in the pharmacological effects and mechanisms of Nelumbo nucifera gaertn. Extract nuciferine

ETHNOPHARMACOLOGIC RELEVANCE

The leaves of Nelumbo nucifera Gaertn. Are recorded in the earliest written documentation of traditional Chinese medicinal as "Ben Cao Gang Mu", a medicinal herb for blood clotting, dysentery and dizziness. Nuciferine, one of N. nucifera Gaertn. leaf extracts, has been shown to possess several pharmacological properties, including but not limited to ameliorating hyperlipidemia, stimulating insulin secretion, inducing vasodilation, reducing blood pressure, and demonstrating anti-arrhythmic properties.

AIM OF THE STUDY

In light of the latest research findings on nuciferine, this article provides a comprehensive overview of its chemical properties, pharmacological activities, and the underlying regulatory mechanisms. It aims to serve as a dependable reference for further investigations into the pharmacological effects and mechanisms of nuciferine.

MATERIALS AND METHODS

Use Google Scholar, Scifinder, PubMed, Springer, Elsevier, Wiley, Web of Science and other online database search to collect the literature on extraction, separation, structural analysis and pharmacological activity of nuciferine published before November 2023. The key words are "extraction", "isolation", "purification" and "pharmacological action" and "nuciferine".

RESULTS

Nuciferine has been widely used in the treatment of ameliorating hyperlipidemia and lose weight, Nuciferine is a monomeric aporphine alkaloid extracted from the leaves of the plant Nymphaea caerulea and Nelumbo nucifera Gaertn. Nuciferine has pharmacological activities such as relaxing smooth muscles, improving hyperlipidemia, stimulating insulin secretion, vasodilation, inducing hypotension, antiarrhythmic effects, and antimicrobial and anti-HIV activities. These pharmacological properties lay a foundation for the treatment of tumors, inflammation, hyperglycemia, lipid-lowering and weight-loss, oxidative stress and other diseases with nuciferine.

CONCLUSION

Nuciferine has been clinically used to treat hyperlipidemia and aid in weight loss due to its effects on lipid levels, insulin secretion, vasodilation, blood pressure reduction, anti-tumor properties, and immune enhancement. However, other potential benefits of nuciferine have not yet been fully explored in clinical practice. Future research should delve deeper into its molecular structure, toxicity, side effects, and clinical pharmacology to uncover its full range of effects and pave the way for its safe and expanded clinical use.

Health Care Access, Socioeconomic Status, and Acute Kidney Injury Outcomes: A Prospective National Study

Rationale & Objectives

Acute kidney injury (AKI) incidence and outcome in Kuwait are unknown. Moreover, non-Kuwaitis, who represent 66% of the population, have lower income, and their access to public health services is restricted compared with Kuwaitis who have free full access.

Study Design

Observational prospective multicenter cohort study.

Setting & Participants

Adult inpatients with AKI in 7 public hospitals from January 1 to December 31, 2021.

Exposure

AKI identified using Kidney Disease: Improving Global Outcomes serum creatinine-based criteria.

Outcomes

For hospitalized patients with AKI, the outcomes included 30-day outcomes of mortality, need for dialysis, kidney recovery rates, and differences in outcomes between Kuwaitis and non-Kuwaitis.

Analytical Approach

A backward stepwise multiple logistic regression analysis was performed to assess possible independent risk factors for the outcomes.

Results

We recruited 3,744 patients (mean age: 63 years; mean baseline estimated glomerular filtration rate [eGFR]: 66.7 mL/min; non-Kuwaitis: 42.3%), representing 3.2% of hospitalizations and 19.5% of intensive care unit (ICU) admissions. Non-Kuwaitis were significantly younger (57.6 vs 66.9 years), with higher baseline eGFR (73.1 vs. 62 mL/min), more frequent community acquired AKI (53.8% vs 46.7%), and AKI in summer (34.7% vs 26.9%). Dialysis was provided to 33.5% of patients, with a higher need for non-Kuwaitis (35.5% vs 32.1%). At 30 days, 34.4% of patients died, representing 24.8% of hospital mortality and 59.8% of ICU mortality. No differences in mortality or kidney recovery were noted between Kuwaitis and non-Kuwaitis. Low eGFR did not affect the mortality rate.

Limitations

Observational nature and short follow-up period of 30 days only.

Conclusions

AKI was associated with high dialysis need and mortality. Non-Kuwaitis accounted for less cases despite representing 66% of the population because they were younger with higher baseline eGFR and fewer comorbid conditions. Non-Kuwaitis had higher rates of community acquired AKI and AKI in summer and a higher need for dialysis but had similar mortality and complete kidney recovery rates.

Development and validation of a nomogram to predict the risk of vancomycin-related acute kidney injury in critical care patients

Background

Vancomycin-associated acute kidney injury (AKI) leads to underestimated morbidity in the intensive care unit (ICU). It is significantly important to predict its occurrence in advance. However, risk factors and nomograms to predict this AKI are limited.

Methods

This was a retrospective analysis of two databases. A total of 1,959 patients diagnosed with AKI and treated with vancomycin were enrolled from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. According to the 7:3 ratio, the training set (n = 1,372) and the internal validation set (n = 587) were randomly allocated. The external validation set included 211 patients from the eICU Collaborative Research Database (eICU). Next, to screen potential variables, the least absolute shrinkage and selection operator (LASSO) regression was utilized. Subsequently, the nomogram was developed by the variables of the selected results in the multivariable logistic regression. Finally, discrimination, calibration, and clinical utility were evaluated to validate the nomogram.

Results

The constructed nomogram showed fine discrimination in the training set (area under the receiver operator characteristic curve [AUC] = 0.791; 95% confidence interval [CI]: 0.758-0.823), internal validation set (AUC = 0.793; 95% CI: 0.742-0.844), and external validation set (AUC = 0.755; 95% CI: 0.663-0.847). Moreover, it also well demonstrated calibration and clinical utility. The significant improvement (P < 0.001) in net reclassification improvement (NRI) and integrated differentiation improvement (IDI) confirmed that the predictive model outperformed others.

Conclusion

This established nomogram indicated promising performance in determining individual AKI risk of vancomycin-treated critical care patients, which will be beneficial in making clinical decisions.

A dynamic model to predict early occurrence of acute kidney injury in ICU hospitalized cirrhotic patients: a MIMIC database analysis

BACKGROUND

This study aimed to develop a tool for predicting the early occurrence of acute kidney injury (AKI) in ICU hospitalized cirrhotic patients.

METHODS

Eligible patients with cirrhosis were identified from the Medical Information Mart for Intensive Care database. Demographic data, laboratory examinations, and interventions were obtained. After splitting the population into training and validation cohorts, the least absolute shrinkage and selection operator regression model was used to select factors and construct the dynamic online nomogram. Calibration and discrimination were used to assess nomogram performance, and clinical utility was evaluated by decision curve analysis (DCA).

RESULTS

A total of 1254 patients were included in the analysis, and 745 developed AKI. The mean arterial pressure, white blood cell count, total bilirubin level, Glasgow Coma Score, creatinine, heart rate, platelet count and albumin level were identified as predictors of AKI. The developed model had a good ability to differentiate AKI from non-AKI, with AUCs of 0.797 and 0.750 in the training and validation cohorts, respectively. Moreover, the nomogram model showed good calibration. DCA showed that the nomogram had a superior overall net benefit within wide and practical ranges of threshold probabilities.

CONCLUSIONS

The dynamic online nomogram can be an easy-to-use tool for predicting the early occurrence of AKI in critically ill patients with cirrhosis.

MRI of kidney size matters

OBJECTIVE

To highlight progress and opportunities of measuring kidney size with MRI, and to inspire research into resolving the remaining methodological gaps and unanswered questions relating to kidney size assessment.

MATERIALS AND METHODS

This work is not a comprehensive review of the literature but highlights valuable recent developments of MRI of kidney size.

RESULTS

The links between renal (patho)physiology and kidney size are outlined. Common methodological approaches for MRI of kidney size are reviewed. Techniques tailored for renal segmentation and quantification of kidney size are discussed. Frontier applications of kidney size monitoring in preclinical models and human studies are reviewed. Future directions of MRI of kidney size are explored.

CONCLUSION

MRI of kidney size matters. It will facilitate a growing range of (pre)clinical applications, and provide a springboard for new insights into renal (patho)physiology. As kidney size can be easily obtained from already established renal MRI protocols without the need for additional scans, this measurement should always accompany diagnostic MRI exams. Reconciling global kidney size changes with alterations in the size of specific renal layers is an important topic for further research. Acute kidney size measurements alone cannot distinguish between changes induced by alterations in the blood or the tubular volume fractions-this distinction requires further research into cartography of the renal blood and the tubular volumes.

Artificial intelligence in early detection and prediction of pediatric/neonatal acute kidney injury: current status and future directions

Acute kidney injury (AKI) has a significant impact on the short-term and long-term clinical outcomes of pediatric and neonatal patients, and it is imperative in these populations to mitigate the pathways leading to AKI and be prepared for early diagnosis and treatment intervention of established AKI. Recently, artificial intelligence (AI) has provided more advent predictive models for early detection/prediction of AKI utilizing machine learning (ML). By providing strong detail and evidence from risk scores and electronic alerts, this review outlines a comprehensive and holistic insight into the current state of AI in AKI in pediatric/neonatal patients. In the pediatric population, AI models including XGBoost, logistic regression, support vector machines, decision trees, naïve Bayes, and risk stratification scores (Renal Angina Index (RAI), Nephrotoxic Injury Negated by Just-in-time Action (NINJA)) have shown success in predicting AKI using variables like serum creatinine, urine output, and electronic health record (EHR) alerts. Similarly, in the neonatal population, using the "Baby NINJA" model showed a decrease in nephrotoxic medication exposure by 42%, the rate of AKI by 78%, and the number of days with AKI by 68%. Furthermore, the "STARZ" risk stratification AI model showed a predictive ability of AKI within 7 days of NICU admission of AUC 0.93 and AUC of 0.96 in the validation and derivation cohorts, respectively. Many studies have reported the superiority of using biomarkers to predict AKI in pediatric patients and neonates as well. Future directions include the application of AI along with biomarkers (NGAL, CysC, OPN, IL-18, B2M, etc.) in a Labelbox configuration to create a more robust and accurate model for predicting and detecting pediatric/neonatal AKI.

Baicalein alleviates cisplatin-induced acute kidney injury by inhibiting ALOX12-dependent ferroptosis

BACKGROUND

In acute kidney injury (AKI), ferroptosis is the main mechanism of cell death in the renal tubular epithelium. Baicalein, a traditional Chinese medicine monomer, plays a protective role in various kidney diseases; however, the effect of baicalein on ferroptosis in AKI still needs further exploration.

PURPOSE

In this study, we explored the role of baicalein and its specific mechanism in mediating ferroptosis in cisplatin-induced AKI.

METHODS

We used a cisplatin-induced AKI model to study the effects of baicalein on renal tissue and tubular epithelial cell injury. The effects of baicalein on tubular epithelial cell ferroptosis were detected in cisplatin-induced AKI and further verified by folic acid-induced AKI. The Swiss Target Prediction online database was used to predict the possible mechanism by which baicalein regulates ferroptosis, and the specific target proteins were further verified. Molecular docking and SPR were used to further determine the binding potential of baicalein to the target protein. Finally, RNA interference (RNAi) technology and enzymatic inhibition were used to determine whether baicalein regulates ferroptosis through target proteins.

RESULTS

Baicalein alleviated cisplatin- and folic acid-induced renal dysfunction and pathological damage and improved cisplatin-induced HK2 cell injury. Mechanistically, baicalein reduced the expression of 12-lipoxygenase (ALOX12), which inhibits phospholipid peroxidation and ferroptosis in AKI. Molecular docking and SPR demonstrated direct binding between baicalein and ALOX12. Finally, we found that silencing ALOX12 had a regulatory effect similar to that of baicalein. Comparable results were also obtained with the ALOX12 inhibitor ML355.

CONCLUSION

This was the first study to confirm that baicalein regulates ferroptosis both in vitro and in vivo in cisplatin-induced AKI and to verify the regulatory effect of baicalein in folic acid-induced AKI. Our results reveal the critical role of ALOX12 in kidney damage and ferroptosis caused by cisplatin and emphasize the regulatory effect of baicalein on renal tubular epithelial cell ferroptosis mediated by ALOX12. Baicalein is an effective drug for treating AKI, and ALOX12 is a potential drug target.

Tripterygium drug-loaded liposome alleviates renal function by promoting vascularization and inhibiting fibrosis

Introduction: Tripterygium species have been traditionally used in Chinese medicine for treating various conditions. The aim of the study was to construct a drug-modified renal infarction targeting liposome (rTor-LIP) containing Tripterygium in order to improve the therapeutic effect on renal injury. Methods: rTor-LIP was prepared using the extruder method containing Tripterygium solution. The preparation was characterized by transmission electron microscopy, Marvin laser particle size analyzer, and Western blotting. In vitro experiments were conducted to verify the biocompatibility of rTor-LIP, and in vivo experiments were conducted to verify the therapeutic effect of rTor- LIP on renal injury. Results and discussion: The surface of rTor-LIP was regular and oval. In vitro results showed that after co-incubation with rTor-LIP, endothelial cells did not show significant apoptosis, and there were no significant abnormalities in the mitochondrial metabolism. The in vivo results showed that the morphology of endothelial cells in the rTor-LIP group was uniform and the cytoplasmic striations were clear, but the local striations had disappeared. Thus, rTor-LIP nano-targeted liposomes can effectively target hypoxic kidney tissue, providing a new idea for the treatment of renal infarction.

Proteomics coupled transcriptomics reveals Slc34a1 and Slc34a3 downregulation as potential features of nephrotoxin-induced acute kidney injury

Acute kidney injury (AKI) stands as a prevalent and economically burdensome condition worldwide, yet its complex molecular mechanisms remain incompletely understood. To address this gap, our study employs a multifaceted approach, combining mass spectrometry and RNA sequencing technologies, to elucidate the intricate molecular landscape underlying nephrotoxin-induced AKI in mice by cisplatin- and LPS-induced. By examining the protein and RNA expression profiles, we aimed to uncover novel insights into the pathogenesis of AKI and identify potential diagnostic and therapeutic targets. Our results demonstrate significant down-regulation of Slc34a1 and Slc34a3, shedding light on their crucial roles in AKI pathology and highlighting their promise as actionable targets for diagnosis and treatment. This comprehensive analysis not only enhances our understanding of AKI pathophysiology but also offers valuable avenues for the development of targeted interventions to mitigate its clinical impact. SIGNIFICANCE: Nephrotoxicity acute kidney injury (AKI) is a common clinical condition whose pathogenesis is the process by which some drugs, chemicals or other factors cause damage to the kidneys, resulting in impaired kidney function. Although it has been proved that different nephrotoxic substances can affect the kidney through different pathways, whether they have a commonality has not been registered. Here, we combined transcriptomics and proteomics to study the molecular mechanism of LPS and cisplatin-induced nephrotoxic acute kidney injury finding that the down-regulation of Slc34a1 and Slc34a3 may be a critical link in nephrotoxic acute kidney injury, which can be used as a marker for its early diagnosis.

Different distances between central venous catheter tips can affect antibiotic clearance during continuous renal replacement therapy

BACKGROUND

The aim of this experimental study was to elucidate whether different distances between central venous catheter tips can affect drug clearance during continuous renal replacement therapy (CRRT). Central venous catheters (CVCs) are widely used in intensive care patients for drug infusion. If a patient receives CRRT, a second central dialysis catheter (CDC) is required. Where to insert CVCs is directed by guidelines, but recommendations regarding how to place multiple catheters are scarce. There are indications that a drug infused in a CVC with the tip close to the tip of the CDC, could be directly aspirated into the dialysis machine, with a risk of increased clearance. However, studies on whether clearance is affected by different CVC and CDC tip positions, when the two catheters are in the same vessel, are few.

METHODS

In this model with 18 piglets, gentamicin (GM) and vancomycin (VM) were infused through a CVC during CRRT. The CVC tip was placed in different positions in relation to the CDC tip from caudal, i.e., proximal to the heart, to cranial, i.e., distal to the heart. Serum and dialysate concentrations were sampled after approximately 30 min of CRRT at four different positions: when the CVC tip was 2 cm caudally (+ 2), at the same level (0), and at 2 (- 2) and 4 (- 4) cm cranially of the tip of the CDC. Clearance was calculated. A mixed linear model was performed, and level of significance was set to p < 0.05.

RESULTS

Clearance of GM had median values at + 2 cm, 0 cm, - 2 cm and - 4 cm of 17.3 (5.2), 18.6 (7.4), 20.0 (16.2) and 26.2 (12.2) ml/min, respectively (p = 0.04). Clearance of VM had median values at + 2 cm, 0 cm, - 2 cm and - 4 cm of 16.2 (4.5), 14.7 (4.9), 19.0 (10.2) and 21.2 (11.4) ml/min, respectively (p = 0.02).

CONCLUSIONS

The distance between CVC and CDC tips can affect drug clearance during CRRT. A cranial versus a caudal tip position of the CVC in relation to the tip of the CDC led to the highest clearance.

In vivo monitoring of renal tubule volume fraction using dynamic parametric MRI

PURPOSE

The increasing incidence of kidney diseases is a global concern, and current biomarkers and treatments are inadequate. Changes in renal tubule luminal volume fraction (TVF) serve as a rapid biomarker for kidney disease and improve understanding of renal (patho)physiology. This study uses the amplitude of the long T2 component as a surrogate for TVF in rats, by applying multiexponential analysis of the T2-driven signal decay to examine micromorphological changes in renal tissue.

METHODS

Simulations were conducted to identify a low mean absolute error (MAE) protocol and an accelerated protocol customized for the in vivo study of T2 mapping of the rat kidney at 9.4 T. We then validated our bi-exponential approach in a phantom mimicking the relaxation properties of renal tissue. This was followed by a proof-of-principle demonstration using in vivo data obtained during a transient increase of renal pelvis and tubular pressure.

RESULTS

Using the low MAE protocol, our approach achieved an accuracy of MAE < 1% on the mechanical phantom. The T2 mapping protocol customized for in vivo study achieved an accuracy of MAE < 3%. Transiently increasing pressure in the renal pelvis and tubules led to significant changes in TVF in renal compartments: ΔTVFcortex = 4.9%, ΔTVFouter_medulla = 4.5%, and ΔTVFinner_medulla = -14.6%.

CONCLUSION

These results demonstrate that our approach is promising for research into quantitative assessment of renal TVF in in vivo applications. Ultimately, these investigations have the potential to help reveal mechanism in acute renal injury that may lead to chronic kidney disease, which will support research into renal disorders.

AKIMLpred: An interpretable machine learning model for predicting acute kidney injury within seven days in critically ill patients based on a prospective cohort study

BACKGROUND

Early recognition and timely intervention for AKI in critically ill patients were crucial to reduce morbidity and mortality. This study aimed to use biomarkers to construct a optimal machine learning model for early prediction of AKI in critically ill patients within seven days.

METHODS

The prospective cohort study enrolled 929 patients altogether who were admitted in ICU including 680 patients in training set (Jiefang Campus) and 249 patients in external testing set (Binjiang Campus). After performing strict inclusion and exclusion criteria, 421 patients were selected in training set for constructing predictive model and 167 patients were selected in external testing for evaluating the predictive performance of resulting model. Urine and blood samples were collected for kidney injury associated biomarkers detection. Baseline clinical information and laboratory data of the study participants were collected. We determined the average prediction efficiency of six machine learning models through 10-fold cross validation.

RESULTS

In total, 78 variables were collected when admission in ICU and 43 variables were statistically significant between AKI and non-AKI cohort. Then, 35 variables were selected as independent features for AKI by univariate logistic regression. Spearman correlation analysis was used to remove two highly correlated variables. Three ranking methods were used to explore the influence of 33 variables for further determining the best combination of variables. The gini importance ranking method was found to be applicable for variables filtering. The predictive performance of AKIMLpred which constructed by the XGBoost algorithm was the best among six machine learning models. When the AKIMLpred included the nine features (NGAL, IGFBP7, sCysC, CAF22, KIM-1, NT-proBNP, IL-6, IL-18 and L-FABP) with the highest influence ranking, its model had the best prediction performance, with an AUC of 0.881 and an accuracy of 0.815 in training set, similarly, with an AUC of 0.889 and an accuracy of 0.846 in validation set. Moreover, the performace was slightly outperformed in testing set with an AUC of 0.902 and an accuracy of 0.846. The SHAP algorithm was used to interpret the prediction results of AKIMLpred. The web-calculator of AKIMLpred was shown for predicting AKI with more convenient(https://www.xsmartanalysis.com/model/list/predict/model/html?mid=8065&symbol=11gk693982SU6AE1ms21). AKIMLpred was better than the optimal model built with only routine tests for predicting AKI in critically ill patients within 7 days.

CONCLUSION

The model AKIMLpred constructed by the XGBoost algorithm with selecting the nine most influential biomarkers in the gini importance ranking method had the best performance in predicting AKI in critically ill patients within 7 days. This data-driven predictive model will help clinicians to make quick and accurate diagnosis.

Stevioside protects against acute kidney injury by inhibiting gasdermin D pathway

Recent studies indicate a significant upregulation of gasdermin D (GSDMD) in acute kidney injury (AKI), a severe medical condition characterized by high morbidity and mortality globally. In this study, we identified and validated the therapeutic effects of small molecule inhibitors targeting the GSDMD pathway for AKI treatment. Using a drug screening assay, we evaluated thousands of small molecules from DrugBank against Lipopolysaccharide (LPS) and Nigericin-stimulated immortalized bone marrow-derived macrophages (iBMDMs) to discern GSDMD pathway activators. We simulated AKI in primary renal tubular epithelial cells using hydrogen peroxide (H2O2) exposure. Furthermore, AKI in mouse models was induced via cisplatin and ischemia/reperfusion. Our findings highlight stevioside as a potent GSDMD activator exhibiting minimal toxicity. Experimental results, both in vitro and in vivo, demonstrate stevioside's significant potential in alleviating renal tubular epithelial cell injury and AKI histological damage. After stevioside treatment, a notable decrease in cleaved GSDMD-N terminal levels was observed coupled with diminished inflammatory factor release. This observation was consistent in both cisplatin- and ischemia/reperfusion-induced AKI mouse models. Collectively, our research suggests that stevioside could be a promising candidate for modulating GSDMD signaling in AKI treatment.

Cardiac Surgery-Associated Acute Kidney Injury

AKI is a common and serious complication of cardiac surgery that has a significant impact on patient morbidity and mortality. The Kidney Disease Improving Global Outcomes definition of AKI is widely used to classify and identify AKI associated with cardiac surgery (cardiac surgery-associated AKI [CSA-AKI]) on the basis of changes in serum creatinine and/or urine output. There are various preoperative, intraoperative, and postoperative risk factors for the development of CSA-AKI which should be recognized and addressed as early as possible to expedite its diagnosis, reduce its occurrence, and prevent or ameliorate its devastating complications. Crucial issues are the inaccuracy of serum creatinine as a surrogate parameter of kidney function in the perioperative setting of cardiothoracic surgery and the necessity to discover more representative markers of the pathophysiology of AKI. However, except for the tissue inhibitor of metalloproteinase-2 and insulin-like growth factor binding protein 7 ratio, other diagnostic biomarkers with an acceptable sensitivity and specificity are still lacking. This article provides a comprehensive review of various aspects of CSA-AKI, including pathogenesis, risk factors, diagnosis, biomarkers, classification, prevention, and treatment management.

Triglyceride-glucose index predicts sepsis-associated acute kidney injury and length of stay in sepsis: A MIMIC-IV cohort study

Background

Inflammation and stress response may be related to the occurrence of sepsis-associated acute kidney injury (SA-AKI) in patients with sepsis.Insulin resistance (IR) is closely related to the stress response, inflammatory response, immune response and severity of critical diseases. We assume that the triglyceride-glucose (TyG) index, an alternative indicator for IR, is associated with the occurrence of SA-AKI in patients with sepsis.

Methods

Data were obtained from The Medical Information Mart for Intensive Care-IV(MIMIC-IV) database in this retrospective cohort study. Univariate and multivariate logistic regression analysis and multivariate restricted cubic spline(RCS) regression were conducted to evaluate the association between TyG index and SA-AKI, length of stay (LOS). Subgroup and sensitivity analyses were performed to verify the robustness of the results.

Results

The study ultimately included data from 1426 patients with sepsis, predominantly of white ethnicity (59.2%) and male sex (56.4%), with an SA-AKI incidence rate of 78.5%. A significant linear association was observed between the TyG index and SA-AKI (OR, 1.40; 95% confidence interval(CI) [1.14-1.73]). Additionally, the TyG index demonstrated a significant correlation with the length of stay (LOS) in both the hospital (β, 1.79; 95% CI [0.80-2.77]) and the intensive care unit (ICU) (β, 1.30; 95% CI [0.80-1.79]). Subgroup and sensitivity analyses confirmed the robustness of these associations.

Conclusion

This study revealed a strong association between the TyG index and both SA-AKI and length of stay in patients with sepsis. These findings suggest that the TyG index is a potential predictor of SA-AKI and the length of hospitalization in sepsis cases, broadening its application in this context. However, further research is required to confirm whether interventions targeting the TyG index can genuinely enhance the clinical outcomes of patients with sepsis.

Proteome characterization of liver-kidney comorbidity after microbial sepsis

Sepsis is a life-threatening condition that occurs when the body responds to an infection but subsequently triggers widespread inflammation and impaired blood flow. These pathologic responses can rapidly cause multiple organ dysfunction or failure either one by one or simultaneously. The fundamental common mechanisms involved in sepsis-induced multiple organ dysfunction remain unclear. Here, employing quantitative global and phosphoproteomics, we examine the liver's temporal proteome and phosphoproteome changes after moderate sepsis induced by cecum ligation and puncture. In total, 4593 global proteins and 1186 phosphoproteins according to 3275 phosphosites were identified. To characterize the liver-kidney comorbidity after sepsis, we developed a mathematical model and performed cross-analyses of liver and kidney proteome data obtained from the same set of mice. Beyond immune response, we showed the commonly disturbed pathways and key regulators of the liver-kidney comorbidity are linked to energy metabolism and consumption. Our data provide open resources to understand the communication between the liver and kidney as they work to fight infection and maintain homeostasis.

[Artificial intelligence and acute kidney injury]

Digitalization is increasingly finding its way into intensive care units and with it artificial intelligence (AI) for critically ill patients. One promising area for the use of AI is in the field of acute kidney injury (AKI). The use of AI is primarily focused on the prediction of AKI, but further approaches are also being used to classify existing AKI into different phenotypes. Different AI models are used for prediction. The area under the receiver operating characteristic curve values (AUROC) achieved with these models vary and are influenced by several factors, such as the prediction time and the definition of AKI. Most models have an AUROC between 0.650 and 0.900, with lower values for predictions further into the future and when applying Acute Kidney Injury Network (AKIN) instead of KDIGO criteria. Classification into phenotypes already makes it possible to categorize patients into groups with different risks of mortality or requirement of renal replacement therapy (RRT), but the etiologies or therapeutic consequences derived from this are still lacking. However, all the models suffer from AI-specific shortcomings. The use of large databases does not make it possible to promptly include recent changes in therapy and the implementation of new biomarkers in a relevant proportion. For this reason, serum creatinine and urinary output, with their known limitations, dominate current AI models for prediction impairing the performance of the current models. On the other hand, the increasingly complex models no longer allow physicians to understand the basis on which the warning of a threatening AKI is calculated and subsequent initiation of therapy should take place. The successful use of AIs in routine clinical practice will be highly determined by the trust of the physicians in the systems and overcoming the aforementioned weaknesses. However, the clinician will remain irreplaceable as the decisive authority for critically ill patients by combining measurable and nonmeasurable parameters.

Mesoscale size-promoted targeted therapy for acute kidney injury through combined RONS scavenging and inflammation alleviation strategy

Acute kidney injury (AKI) is a heterogeneous, high-mortality clinical syndrome with diverse pathogenesis and prognosis, but it lacks the effective therapy clinically. Its pathogenesis is associated with production of reactive oxygen/nitrogen species and infiltration of inflammatory cells. To overcome these pathogenic factors and improve the therapeutic efficiency, we synthesized triptolide-loaded mesoscale polydopamine melanin-mimetic nanoparticles (MeNP4TP) as the antioxidant plus anti-inflammatory therapeutic platform to synergistically scavenge reactive oxygen/nitrogen species (RONS), inhibit the activity of macrophages and dendritic cells, and generate Treg cells for AKI therapy. It was demonstrated that mesoscale size was beneficial for MeNP4TP to specifically accumulate at renal tubule cells, and MeNP4TP could significantly attenuate oxidative stress, reduce proinflammatory immune cells in renal, and repair renal function in cisplatin-induced AKI mouse model. MeNP4TP might be a potential candidate to inhibit oxidative damages and inflammatory events in AKI.

Application of Artificial Intelligence to Advance Individualized Diagnosis and Treatment in Emergency and Critical Care Medicine

Emergency and critical illnesses refer to severe diseases or conditions characterized by rapid changes in health that may endanger life within a short period [...].