Citations

Accurate information regarding oxalate levels in foods is essential for managing patients with hyperoxaluria, oxalate nephropathy, or those susceptible to calcium oxalate stones. This study aimed to assess the reliability of chatbots in categorizing foods based on their oxalate content. We assessed the accuracy of ChatGPT-3.5, ChatGPT-4, Bard AI, and Bing Chat to classify dietary oxalate content per serving into low (<5 mg), moderate (5–8 mg), and high (>8 mg) oxalate content categories. A total of 539 food items were processed through each chatbot. The accuracy was compared between chatbots and stratified by dietary oxalate content categories. Bard AI had the highest accuracy of 84%, followed by Bing (60%), GPT-4 (52%), and GPT-3.5 (49%) (p < 0.001). There was a significant pairwise difference between chatbots, except between GPT-4 and GPT-3.5 (p = 0.30). The accuracy of all the chatbots decreased with a higher degree of dietary oxalate content categories but Bard remained having the highest accuracy, regardless of dietary oxalate content categories. There was considerable variation in the accuracy of AI chatbots for classifying dietary oxalate content. Bard AI consistently showed the highest accuracy, followed by Bing Chat, GPT-4, and GPT-3.5. These results underline the potential of AI in dietary management for at-risk patient groups and the need for enhancements in chatbot algorithms for clinical accuracy.

Chain-of-thought prompting enhances the abilities of large language models (LLMs) significantly. It not only makes these models more specific and context-aware but also impacts the wider field of artificial intelligence (AI). This approach broadens the usability of AI, increases its efficiency, and aligns it more closely with human thinking and decision-making processes. As we improve this method, it is set to become a key element in the future of AI, adding more purpose, precision, and ethical consideration to these technologies. In medicine, the chain-of-thought prompting is especially beneficial. Its capacity to handle complex information, its logical and sequential reasoning, and its suitability for ethically and context-sensitive situations make it an invaluable tool for healthcare professionals. Its role in enhancing medical care and research is expected to grow as we further develop and use this technique. Chain-of-thought prompting bridges the gap between AI’s traditionally obscure decision-making process and the clear, accountable standards required in healthcare. It does this by emulating a reasoning style familiar to medical professionals, fitting well into their existing practices and ethical codes. While solving AI transparency is a complex challenge, the chain-of-thought approach is a significant step toward making AI more comprehensible and trustworthy in medicine. This review focuses on understanding the workings of LLMs, particularly how chain-of-thought prompting can be adapted for nephrology’s unique requirements. It also aims to thoroughly examine the ethical aspects, clarity, and future possibilities, offering an in-depth view of the exciting convergence of these areas.

Background and Objectives: Limited evidence exists regarding the safety and efficacy of glucagon-like peptide-1 receptor agonists (GLP-1RAs) in type 2 diabetes mellitus (T2DM) patients with advanced chronic kidney disease (CKD) or end-stage kidney disease (ESKD). Thus, we conducted a systematic review and meta-analysis to assess the safety and efficacy of GLP-1RAs in T2DM patients with advanced CKD and ESKD. Materials and Methods: We performed a systematic literature search in MEDLINE, EMBASE, and Cochrane database until 25 October 2023. Included were clinical trials and cohort studies reporting outcomes of GLP-1RAs in adult patients with T2DM and advanced CKD. Outcome measures encompassed mortality, cardiovascular parameters, blood glucose, and weight. Safety was assessed for adverse events. The differences in effects were expressed as odds ratios with 95% confidence intervals (CIs) for dichotomous outcomes and the weighted mean difference or standardized mean difference (SMD) with 95% confidence intervals for continuous outcomes. The Risk of Bias In Non-randomized Studies—of Interventions (ROBIN-I) tool was used in cohort and non-randomized controlled studies, and the Cochrane Risk of Bias (RoB 2) tool was used in randomized controlled trials (RCTs). The review protocol was registered in the International Prospective Register of Systematic Reviews (CRD 42023398452) and received no external funding. Results: Eight studies (five trials and three cohort studies) consisting of 27,639 patients were included in this meta-analysis. No difference was observed in one-year mortality. However, GLP-1RAs significantly reduced cardiothoracic ratio (SMD of −1.2%; 95% CI −2.0, −0.4) and pro-BNP (SMD −335.9 pmol/L; 95% CI −438.9, −232.8). There was no significant decrease in systolic blood pressure. Moreover, GLP-1RAs significantly reduced mean blood glucose (SMD −1.1 mg/dL; 95% CI −1.8, −0.3) and increased weight loss (SMD −2.2 kg; 95% CI −2.9, −1.5). In terms of safety, GLP-1RAs were associated with a 3.8- and 35.7-time higher risk of nausea and vomiting, respectively, but were not significantly associated with a higher risk of hypoglycemia. Conclusions: Despite the limited number of studies in each analysis, our study provides evidence supporting the safety and efficacy of GLP-1RAs among T2DM patients with advanced CKD and ESKD. While gastrointestinal side effects may occur, GLP-1RAs demonstrate significant improvements in blood glucose control, weight reduction, and potential benefit in cardiovascular outcomes.

The emergence of artificial intelligence (AI) has greatly propelled progress across various sectors including the field of nephrology academia. However, this advancement has also given rise to ethical challenges, notably in scholarly writing. AI’s capacity to automate labor-intensive tasks like literature reviews and data analysis has created opportunities for unethical practices, with scholars incorporating AI-generated text into their manuscripts, potentially undermining academic integrity. This situation gives rise to a range of ethical dilemmas that not only question the authenticity of contemporary academic endeavors but also challenge the credibility of the peer-review process and the integrity of editorial oversight. Instances of this misconduct are highlighted, spanning from lesser-known journals to reputable ones, and even infiltrating graduate theses and grant applications. This subtle AI intrusion hints at a systemic vulnerability within the academic publishing domain, exacerbated by the publish-or-perish mentality. The solutions aimed at mitigating the unethical employment of AI in academia include the adoption of sophisticated AI-driven plagiarism detection systems, a robust augmentation of the peer-review process with an “AI scrutiny” phase, comprehensive training for academics on ethical AI usage, and the promotion of a culture of transparency that acknowledges AI’s role in research. This review underscores the pressing need for collaborative efforts among academic nephrology institutions to foster an environment of ethical AI application, thus preserving the esteemed academic integrity in the face of rapid technological advancements. It also makes a plea for rigorous research to assess the extent of AI’s involvement in the academic literature, evaluate the effectiveness of AI-enhanced plagiarism detection tools, and understand the long-term consequences of AI utilization on academic integrity. An example framework has been proposed to outline a comprehensive approach to integrating AI into Nephrology academic writing and peer review. Using proactive initiatives and rigorous evaluations, a harmonious environment that harnesses AI’s capabilities while upholding stringent academic standards can be envisioned.

AbstractBackgroundLoss of function mutations in PINK1 and PRKN are the most common causes of early‐onset Parkinson disease (PD). The encoded ubiquitin (Ub) kinase PINK1 and the E3 Ub ligase PRKN together regulate the autophagic degradation of dysfunctional mitochondria, termed mitophagy. During this cytoprotective process, PINK1 and PRKN identify and jointly decorate damaged mitochondria with phosphorylated Ub (pS65‐Ub) that serves as the mitophagy tag. Accumulating evidence suggest a pathogenic role for impaired mitophagy in PD and related neurodegenerative conditions. This is in line with our previous finding of increased levels of the mitophagy marker pS65‐Ub in the hippocampus of postmortem Lewy body disease (LBD) brain.MethodWe performed a genome‐wide association study (GWAS) of hippocampal pS65‐Ub level to identify novel regulators of the PINK1‐PRKN‐directed mitophagy in LBD. In our two‐stage GWAS, we obtained 1,012 autopsy confirmed LBD samples (754 discovery stage, 258, replication stage) from Caucasian participants of European ancestry. Using an established, mostly automated workflow, hippocampal sections were immunostained for pS65‐Ub, scanned, and quantified with unbiased algorithms.ResultOur findings identified that APOE rs429358 (β: 0.50, 95% CI: 0.41 to 0.69, p = 8.67×10−25) was very strongly associated with pS65‐Ub levels in LBD brain. The APOE4 genotype is known to exacerbate Aβ and tau deposition. We did observe strong correlations of pS65‐Ub levels with both tau tangle and senile plaque density in the entire LBD cohort. Nevertheless, the increased pS65‐Ub levels in APOE4‐carrying LBD brains were also independent of Aβ and tau deposition in a subgroup (N = 175) with medium levels of these pathologies. To further explore APOE4 effects on mitophagy outside disease context, this observation was also confirmed in APOE‐targeted replacement mice and in induced pluripotent stem cell‐derived astrocytes.ConclusionOur findings nominate a novel mitophagy regulator in LBD brain and highlight a strong association of APOE4 with mitophagy alteration. Our results suggested that APOE4 may mediate mitophagy defects through two mechanisms, by aggravating Alzheimer’s‐type pathologies and also independent of them. With APOE4 being the strongest known risk factor for Alzheimer’s disease and dementia with Lewy bodies, our findings suggest a common mechanistic link underscoring the importance of mitochondrial quality control.

The release of danger signals from tissues in response to trauma during cardiac surgery creates conditions to reprogram the immune system to subsequent challenges posed by pathogens in the postoperative period. To demonstrate this, we tested immunoreactivity before surgery as the baseline (tbaseline), followed by subsequent challenges during the acute phase (t24h), convalescence (t7d), and long-term recovery (t3m). For 108 patients undergoing elective heart surgery, whole blood was stimulated with lipopolysaccharide (LPS), Influenza A virus subtype N2 (H3N2), or the Flublok™ vaccine to represent common pathogenic challenges. Leukocytosis, platelet count, and serum C-reactive protein (CRP) were used to measure non-specific inflammation. Cytokines were measured after 18 h of stimulation to reflect activation of the various cell types (activated neutrophils–IL-8; activated T cells-IL-2, IFNγ, activated monocyte (MO)-TNFα, IL-6, and deactivated or atypically activated MO and/or T cells–M-CSF, IL-10). IL-2 and IL-10 were increased at t7d, while TNFα was suppressed at t24h when LPS was utilized. Interestingly, M-CSF and IL-6 production was elevated at seven days in response to all stimuli compared to baseline. While some non-specific markers of inflammation (white cell count, IL-6, and IL-8) returned to presurgical levels at t3m, CRP and platelet counts remained elevated. We showed that surgical stimulus reprograms leukocyte response to LPS with only partial restoration of non-specific markers of inflammation.

Background: Little is known about the relationship between carotid plaque formation and cognitive function in a middle-aged population. Hypothesis: We hypothesize that there will be an association between carotid atherosclerotic burden and cognitive function in middle-aged adults. Aim: The purpose of the present study is to examine the relationship between carotid artery (CA) plaque and cognitive function in middle-aged white and black men and women from the Bogalusa Heart Study (BHS) cohort. Methods: We included a total of 1,107 BHS participants with echocardiography and carotid ultrasound performed between 2013 and 2016. Cognitive function was quantified in a global cognitive score (GCS) comprised of the z standardized sum of 7 neuropsychiatric tests. CA plaque was defined by carotid intima media thickness ≥1.5mm in any segment of the CA including right and left common artery (RCC/LCC), bulbs (RCB/LCB) as well as right and left internal carotid artery (RIC/LIC). We compared demographic, clinical, and echocardiographic characteristics in participants with or without CA plaque and used linear regression analysis for the association between CA and GCS adjusted for age, sex, race and education. Results: Among all, 373 (33.7%) of participants had one or more CA plaque. The most common locations of CA plaque formation differed according to laterality, with 230 (61.7%), 189 (50.7%), 108 (29.0%), 92 (24.7%), 83 (22.3%), 10 (2.7%) participants having plaque in the RCB, LCB, LCA, RIC, LIC, and RCA, respectively. Participants with CA plaque were likely to be older (49.9 vs. 47.2 years), male (52 vs.38.9%), white (70.2 vs.63.4%,), have larger left ventricular (LV) end-diastolic volume (97.4 vs.94 ml) and LV mass index (83.4 vs.76.3 g/m 2 , all p -value<0.01), but similar LV ejection fraction (60.1 vs.60.0%) as compared to those without CA plaque. Moreover, CA is associated with poorer cognitive function (GCS, standardized β coefficient=-0.07; p =0.02) adjusted for age, sex, and race. However, the association was attenuated after adjusting for education. Conclusion: CA plaque was highly prevalent and inversely associated with cognitive function. The association was attenuated by education emphasizing the importance of social determinants in cognitive health.